PDA

View Full Version : Post Your Dodecad V3 Results



Pages : [1] 2

J Man
05-18-2013, 04:38 PM
I am going back a few years in this topic to the Dodecad V3 results. I still find this analysis to be quite interesting and informative. Here are my family members results below from GEDmatch.

Mine:

Population
East_European 15.78%
West_European 42.57%
Mediterranean 22.96%
Neo_African -
West_Asian 10.99%
South_Asian 0.43%
Northeast_Asian 2.84%
Southeast_Asian 0.26%
East_African -
Southwest_Asian 3.38%
Northwest_African 0.63%
Palaeo_African 0.15%

Father:

Population
East_European 16.43%
West_European 32.25%
Mediterranean 23.67%
Neo_African -
West_Asian 15.12%
South_Asian 1.58%
Northeast_Asian 4.35%
Southeast_Asian 0.07%
East_African -
Southwest_Asian 5.74%
Northwest_African 0.56%
Palaeo_African 0.20%

Paternal Grandfather:

Population
East_European 2.31%
West_European 17.76%
Mediterranean 35.39%
Neo_African 0.22%
West_Asian 28.93%
South_Asian -
Northeast_Asian -
Southeast_Asian -
East_African -
Southwest_Asian 12.00%
Northwest_African 3.16%
Palaeo_African 0.23%


Mother:

Population
East_European 12.84%
West_European 52.98%
Mediterranean 24.66%
Neo_African -
West_Asian 8.82%
South_Asian -
Northeast_Asian 0.42%
Southeast_Asian -
East_African 0.19%
Southwest_Asian 0.08%
Northwest_African -
Palaeo_African -


Great Uncle:


Population
East_European 10.09%
West_European 52.33%
Mediterranean 26.59%
Neo_African -
West_Asian 7.86%
South_Asian 0.11%
Northeast_Asian 0.18%
Southeast_Asian -
East_African 0.17%
Southwest_Asian 2.06%
Northwest_African 0.63%
Palaeo_African -

MJost
06-13-2013, 04:57 AM
Here is mine
Admix Results (sorted):

# Population Percent
1 West_European 51.63
2 Mediterranean 22.86
3 East_European 15.19
4 West_Asian 6.66
5 Southwest_Asian 2.36
6 Northwest_African 1.30


Using 2 populations approximation:
1 50% British_Isles +50% Hungarians @ 2.253
2 50% Hungarians +50% Irish @ 2.351
3 50% British +50% Hungarians @ 2.429

rossa
06-13-2013, 02:10 PM
Here are mine

Population Percent
1 West_European 74.24
2 Mediterranean 18.56
3 West_Asian 6.31
4 Southwest_Asian 0.88

MitchellSince1893
06-17-2013, 02:09 AM
Mine

Population
East_European 14.04%
West_European 52.30%
Mediterranean 23.75%
Neo_African 0.07%
West_Asian 7.05%
South_Asian 1.56%
Southwest_Asian 0.50%
Northwest_African 0.73%

Single Population Sharing:
# Population (source) Distance
1 German (Dodecad) 3.45
2 CEU (HapMap) 3.66
3 Argyll (1000 Genomes) 3.89
4 N._European (Xing) 3.98
5 Orcadian (HGDP) 4.65
6 Orkney (1000 Genomes) 4.8
7 Mixed_Germanic (Dodecad) 10.8
8 Dutch (Dodecad) 11.97
9 French (HGDP) 13.14
10 French (Dodecad) 13.15
11 Slovenian (Xing) 13.79
12 Kent (1000 Genomes) 14.01
13 British_Isles (Dodecad) 15.47
14 Swedish (Dodecad) 15.73
15 British (Dodecad) 15.8
16 Cornwall (1000 Genomes) 16.51
17 Norwegian (Dodecad) 17.29
18 Hungarians (Behar) 17.87
19 Irish (Dodecad) 18.24
20 FIN (1000Genomes) 22.17

DMXX
07-01-2013, 02:06 AM
Apologies for the late response, J Man, only just found the time to go through the old folder and re-calculate my results:

5.05% East_European
3.94% West_European
21.16% Mediterranean
44.52% West_Asian
9.80% South_Asian
1.55% Northeast_Asian
3.21% Southeast_Asian
10.74% Southwest_Asian

Silesian
07-01-2013, 04:36 PM
West_European 43.02
East_European 29.69
Mediterranean 19.82
West_Asian 5.41
South_Asian 2.05
Using 1 population approximation:
Hungarians @ 9.530
Using 2 populations approximation:
50% German +50% Polish @ 2.381
Using 3 populations approximation:
50% Orkney +25% Belorussian +25% Mixed_Slav @ 1.898
Using 4 populations approximation:
Belorussian + Mixed_Slav + Orkney + Orkney @ 1.898

leonardo
07-01-2013, 11:32 PM
West_European 47.08
Mediterranean 27.39
East_European 13.24
West_Asian 10.82
Southwest_Asian 1.48

Cornwall + Mixed_Germanic + Mixed_Slav + Tuscan @ 1.642

Scarlet Ibis
07-02-2013, 04:35 AM
Using 1 population approximation:
Hungarians @ 9.530
Using 2 populations approximation:
50% German +50% Polish @ 2.381
Using 3 populations approximation:
50% Orkney +25% Belorussian +25% Mixed_Slav @ 1.898
Using 4 populations approximation:
Belorussian + Mixed_Slav + Orkney + Orkney @ 1.898

Looks pretty decent






Here are mine:

Using 1 population approximation:
1 Kyrgyzstani @ 27.171
2 Uygur @ 29.455
3 Hazara @ 29.999

Using 2 populations approximation:
1 50% German +50% Japanese @ 2.502
2 50% CEU +50% Japanese @ 2.897
3 50% German +50% Korean @ 3.029

Using 3 populations approximation:
1 50% Japanese +25% CEU +25% German @ 2.076
2 50% German +25% Hezhen +25% JPT @ 2.104
3 50% Japanese +25% German +25% Orcadian @ 2.178

Using 4 populations approximation:
1 CEU + German + Lahu + Oroqen @ 1.698
2 CEU + German + Hezhen + JPT @ 1.712
3 CEU + German + Han + Hezhen @ 1.766

soulblighter
07-03-2013, 05:28 AM
My Results

East_European 6.00%
West_European 6.80%
Mediterranean 6.17%
Neo_African 0.12%
West_Asian 13.42%
South_Asian 56.66%
Northeast_Asian 2.27%
Southeast_Asian 5.96%
East_African 0.35%
Southwest_Asian 1.81%
Northwest_African 0.45%
Palaeo_African -


My Mom's Results

East_European 6.07%
West_European 7.75%
Mediterranean 5.48%
Neo_African 0.19%
West_Asian 13.21%
South_Asian 55.37%
Northeast_Asian 2.82%
Southeast_Asian 5.35%
East_African 0.35%
Southwest_Asian 2.90%
Northwest_African 0.51%
Palaeo_African -

Solothurn
07-11-2013, 01:24 PM
All are British 'mutts'

Mine



1 West_European 63.67
2 Mediterranean 19.8
3 East_European 7.38
4 West_Asian 6.45
5 Southwest_Asian 2.17
6 South_Asian 0.53

Oracle
Single: British_Isles (Dodecad) 4.75
Mixed: 87.3% Irish (Dodecad) + 12.7% Mixed_Slav (Dodecad) @ 0.72



Mum's



1 West_European 58.29
2 Mediterranean 22.66
3 East_European 9.81
4 West_Asian 7.23
5 Southwest_Asian 1.06
6 South_Asian 0.47
7 Southeast_Asian 0.42
8 Northwest_African 0.07

Oracle
Single: Orkney (1000 Genomes) 2.69
Mixed: 90% Dutch (Dodecad) + 10% Belorussian (Behar) @ 0.59



Dad's (Phased so accurate or?)



1 West_European 59.2
2 Mediterranean 17.43
3 West_Asian 7.58
4 East_European 5.96
5 South_Asian 3.12
6 East_African 3.07
7 Southwest_Asian 2.43
8 Palaeo_African 0.42
9 Northwest_African 0.41
10 Southeast_Asian 0.29

Oracle
Single: Mixed_Germanic (Dodecad) 6.44
Mixed: 83.6% Norwegian (Dodecad) + 16.4% Morocco_Jews (Behar) @ 4.71

Scarlet Ibis
07-12-2013, 03:50 AM
Oh, I see, you all must have been clicking the "Oracle" button instead of the "Oracle-4" button.

I ran my dad's just to see how he compares with Solothurn's family members.

# Population Percent
1 West_European 53.81
2 Mediterranean 24.29
3 East_European 14.31
4 West_Asian 5.93
5 Southwest_Asian 1.06
6 Northeast_Asian 0.31
7 Northwest_African 0.3


Single Population Sharing:
# Population (source) Distance
1 German (Dodecad) 3.35


Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 92.4% Orcadian (HGDP) + 7.6% Belorussian (Behar) @ 1.11

rod
08-19-2013, 03:08 AM
Me:
# Population Percent
1 West_European 53.16
2 Mediterranean 27.65
3 East_European 11.65
4 West_Asian 6.31
5 Southwest_Asian 1.22

Using 1 population approximation:
1 CEU @ 2.447

Using 2 populations approximation:
1 50% French +50% German @ 1.675
2 50% French +50% German @ 1.735

Using 3 populations approximation:
1 50% CEU +25% French +25% German @ 1.033
2 50% German +25% French_Basque +25% N._European @ 1.187

Using 4 populations approximation:
1 Balkans + French_Basque + Irish + Swedish @ 0.923
2 CEU + French_Basque + Swedish + Slovenian @ 0.977

Sapporo
09-19-2013, 09:30 AM
K = 20
MinCount = 2

Admix Results (sorted):

#Population Percent
1 South_Asian 42.82
2 West_Asian 22.16
3 West_European 13.29
4 East_European 8.57
5 Mediterranean 5.62
6 Northeast_Asian 3.28
7 Southwest_Asian 2.4
8 Southeast_Asian 1.47
9 Northwest_African 0.31
10 Palaeo_African 0.09

Single Population Sharing:

#Population (source) Distance
1 Pakistani (Xing) 4.45
2 Pathan (HGDP) 5.34
3 Kashmiri_Pandit (Reich) 6.25
4 Sindhi (HGDP) 6.38
5 Burusho (HGDP) 7.65
6 Vaish (Reich) 13.5
7 Meghawal (Reich) 14.09
8 Bnei_Menashe_Jews (Behar) 14.11
9 Cochin_Jews (Behar) 15.13
10 Balochi (HGDP) 15.67
11 Brahui (HGDP) 16.96
12 TN_Brahmin (Xing) 17.32
13 AP_Brahmin (Xing) 18.24
14 Srivastava (Reich) 18.24
15 Kalash (HGDP) 19.77
16 Indian (Dodecad) 20.05
17 Makrani (HGDP) 20.48
18 Velama (Reich) 23.27
19 Tharu (Reich) 23.61
20 Nepalese (Xing) 25.05

Mixed Mode Population Sharing:

# Primary Population (source)Secondary Population (source)Distance
1 94% Pakistani (Xing) +6% Finnish (Dodecad) @2.18
2 94.1% Pakistani (Xing) +5.9% FIN (1000Genomes) @2.25
3 94.8% Pakistani (Xing) +5.2% Swedish (Dodecad) @2.7
4 94.4% Pakistani (Xing) +5.6% Russian (HGDP) @2.77
5 95% Pakistani (Xing) +5% Norwegian (Dodecad) @2.8
6 94.1% Pakistani (Xing) +5.9% Chuvashs_16 (Behar) @2.82
7 74.6% Pathan (HGDP) +25.4% Vaish (Reich) @2.92
8 94.5% Pakistani (Xing) +5.5% German (Dodecad) @2.95
9 94.5% Pakistani (Xing) +5.5% Mixed_Slav (Dodecad) @3.01
10 94.7% Pakistani (Xing) +5.3% Argyll (1000 Genomes) @3.03
11 95.3% Pakistani (Xing) +4.7% Lithuanians (Behar) @3.04
12 94.7% Pakistani (Xing) +5.3% Polish (Dodecad) @3.05
13 81.9% Pathan (HGDP) +18.1% Indian (Dodecad) @3.06
14 94.6% Pakistani (Xing) +5.4% N._European (Xing) @3.06
15 95.4% Pakistani (Xing) +4.6% Lithuanian (Dodecad) @3.06
16 94.8% Pakistani (Xing) +5.2% Orkney (1000 Genomes) @3.08
17 95% Pakistani (Xing) +5% Mixed_Germanic (Dodecad)@3.08
18 94.9% Pakistani (Xing) +5.1% Orcadian (HGDP) @3.09
19 95.4% Pakistani (Xing) +4.6% Irish (Dodecad) @3.09
20 94.1% Pakistani (Xing) +5.9% Slovenian (Xing) @3.1

N21163
09-23-2013, 01:21 AM
Dodecad V3 Results:

East_European 10.76%
West_European 54.69%
Mediterranean 23.62%
Neo_African 0.07%
West_Asian 8.95%
South_Asian 1.70%
Northwest_African 0.17%

Oracle - X
Pct. Calc. Option 1
1 Argyll 90.45%
2 French_Basque 3.73%
3 Irish 2.80%
4 Kalash 2.29%
5 Lezgins 0.68%
6 Romanians_14 0.04%
7 Urkarah 0.01%

Oracle - X
Pct. Calc. Option 2
0 Unable to determine 0.01%
1 Argyll 78.87%
2 Irish 6.27%
3 Cornwall 3.39%
4 Makrani 3.16%
5 French_Basque 3.12%
6 Slovenian 2.56%
7 FIN 1.47%
8 O_Italian 1.04%
9 Brahui 0.11%


Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 96% Orcadian (HGDP) + 4% Kalash (HGDP) @ 0.72
2 96% Orkney (1000 Genomes) + 4% Kalash (HGDP) @ 0.86
3 94.5% Orkney (1000 Genomes) + 5.5% Urkarah (Xing) @ 0.91
4 97.8% Argyll (1000 Genomes) + 2.2% Kalash (HGDP) @ 1.02
5 97.7% Argyll (1000 Genomes) + 2.3% Brahui (HGDP) @ 1.06
6 97.7% Argyll (1000 Genomes) + 2.3% Balochi (HGDP) @ 1.07
7 97.7% Argyll (1000 Genomes) + 2.3% Makrani (HGDP) @ 1.08
8 95.8% Orkney (1000 Genomes) + 4.2% Makrani (HGDP) @ 1.11
9 95.8% Orkney (1000 Genomes) + 4.2% Brahui (HGDP) @ 1.12
10 95.9% Orcadian (HGDP) + 4.1% Brahui (HGDP) @ 1.13
11 95.9% Orkney (1000 Genomes) + 4.1% Lezgins (Behar) @ 1.14
12 97.6% Argyll (1000 Genomes) + 2.4% Pathan (HGDP) @ 1.15
13 95.8% Orkney (1000 Genomes) + 4.2% Balochi (HGDP) @ 1.15
14 96% Orkney (1000 Genomes) + 4% Adygei (HGDP) @ 1.15
15 97.8% Argyll (1000 Genomes) + 2.2% Bnei_Menashe_Jews @ 1.15
16 97.9% Argyll (1000 Genomes) + 2.1% Sindhi (HGDP) @ 1.16
17 95.9% Orcadian (HGDP) + 4.1% Makrani (HGDP) @ 1.16
18 95.9% Orcadian (HGDP) + 4.1% Balochi (HGDP) @ 1.16
19 94.2% Orkney (1000 Genomes) + 5.8% Stalskoe (Xing) @ 1.17
20 97.9% Argyll (1000 Genomes) + 2.1% Pakistani (Xing) @ 1.18

Dr_McNinja
09-23-2013, 02:23 AM
South Asian 47.56
West Asian 17.64
West European 12.02
East European 6.21
Mediterranean 6.52
Northeast Asian 4.26
Southwest Asian 2.6
Southeast Asian 3.16
Northwest African 0.01
East African 0.02
Paleo_African 0
Neo_African 0

FaerieQueene
10-10-2013, 08:46 AM
Dodecad V3 Oracle results:

Admix Results (sorted):

# Population Percent
1 Mediterranean 30.76
2 West_European 26.82
3 West_Asian 20.99
4 Southwest_Asian 13.03
5 East_European 2.19
6 South_Asian 1.99
7 Northwest_African 1.96
8 East_African 1.45
9 Neo_African 0.5
10 Palaeo_African 0.27
11 Northeast_Asian 0.03

Single Population Sharing:

# Population (source) Distance
1 Ashkenazy_Jews (Behar) 7.82
2 Ashkenazi (Dodecad) 8.74
3 Tuscan (Xing) 8.75
4 Tuscan (Henn) 9.16
5 TSI (HapMap) 9.55
6 O_Italian (Dodecad) 12.73
7 Morocco_Jews (Behar) 13.71
8 C_Italian (Dodecad) 15.22
9 S_Italian_Sicilian (Dodecad) 17.07
10 Tuscan (HGDP) 17.9
11 N_Italian (Dodecad) 18.72
12 Sicilian (Dodecad) 19.74
13 Sephardic_Jews (Behar) 20.56
14 S_Italian (Dodecad) 20.68
15 Greek (Dodecad) 20.87
16 Romanians_14 (Behar) 22.43
17 North_Italian (HGDP) 22.5
18 Stalskoe (Xing) 24.3
19 Uzbekistan_Jews (Behar) 24.73
20 Portuguese (Dodecad) 25.18

Mixed Mode Population Sharing:

# * Primary Population (source) Secondary Population (source) Distance
1 * 50.7% Lebanese (Behar) + 49.3% French (HGDP) @ 2.09
2 * 51.5% Georgia_Jews (Behar) + 48.5% French (Dodecad) @ 2.53
3 * 51.3% Palestinian (HGDP) + 48.7% French (HGDP) @ 2.7
4 * 50.5% French (HGDP) + 49.5% Samaritians (Behar) @ 2.85
5 * 51.2% French (Dodecad) + 48.8% Iraq_Jews (Behar) @ 2.91
6 * 51.4% French (HGDP) + 48.6% Syrians (Behar) @ 3.04
7 * 51.1% Georgia_Jews (Behar) + 48.9% French (HGDP) @ 3.08
8 * 50.5% French (Dodecad) + 49.5% Iranian_Jews (Behar) @ 3.18
9 * 83.7% Ashkenazi (Dodecad) + 16.3% Irish (Dodecad) @ 3.33
10 * 51.7% French (HGDP) + 48.3% Iraq_Jews (Behar) @ 3.36
11 * 82.9% Ashkenazi (Dodecad) + 17.1% Cornwall (1000 Genomes) @ 3.5
12 * 82.9% Ashkenazi (Dodecad) + 17.1% British (Dodecad) @ 3.51
13 * 83% Ashkenazi (Dodecad) + 17% British_Isles (Dodecad) @ 3.55
14 * 50.9% French (HGDP) + 49.1% Jordanians_19 (Behar) @ 3.56
15 * 72% Morocco_Jews (Behar) + 28% Mixed_Germanic (Dodecad) @ 3.57
16 * 84.7% Ashkenazi (Dodecad) + 15.3% Norwegian (Dodecad) @ 3.6
17 * 85.7% Ashkenazy_Jews (Behar) + 14.3% Irish (Dodecad) @ 3.63
18 * 50.9% French (HGDP) + 49.1% Iranian_Jews (Behar) @ 3.63
19 * 77% Morocco_Jews (Behar) + 23% Norwegian (Dodecad) @ 3.66
20 * 81.7% Ashkenazi (Dodecad) + 18.3% Dutch (Dodecad) @ 3.67

Dodecad V3 4-Ancestors Oracle

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Ashkenazy_Jews @ 8.752
2 Tuscan @ 9.557
3 Ashkenazi @ 9.739
4 Tuscan @ 9.976
5 TSI @ 10.383
6 O_Italian @ 13.921
7 Morocco_Jews @ 15.386
8 C_Italian @ 16.677
9 S_Italian_Sicilian @ 18.853
10 Tuscan @ 19.601
227 iterations.

Using 2 populations approximation:
1 50% French +50% Lebanese @ 2.547
2 50% French +50% Georgia_Jews @ 2.807
3 50% French +50% Samaritians @ 2.887
4 50% French +50% Iraq_Jews @ 3.154
5 50% French +50% Palestinian @ 3.310
6 50% French +50% Samaritians @ 3.342
7 50% French +50% Georgia_Jews @ 3.363
8 50% French +50% Lebanese @ 3.393
9 50% French +50% Iranian_Jews @ 3.425
10 50% French +50% Syrians @ 3.689
25878 iterations.

Using 3 populations approximation:
1 50% French +25% Iraq_Jews +25% Palestinian @ 1.307
2 50% French +25% Iraq_Jews +25% Palestinian @ 1.355
3 50% French +25% Iranian_Jews +25% Jordanians_19 @ 1.359
4 50% French +25% Iraq_Jews +25% Jordanians_19 @ 1.398
5 50% French +25% Iranian_Jews +25% Palestinian @ 1.477
6 50% French +25% Iranian_Jews +25% Palestinian @ 1.531
7 50% Georgia_Jews +25% Norwegian +25% Sardinian @ 1.664
8 50% French +25% Azerbaijan_Jews +25% Jordanians_19 @ 1.666
9 50% French +25% Georgia_Jews +25% Jordanians_19 @ 1.740
10 50% French +25% Azerbaijan_Jews +25% Jordanians_19 @ 1.760
533221 iterations.

Using 4 populations approximation:
1 Iranian_Jews + Jordanians_19 + Mixed_Germanic + Spaniards @ 1.170
2 French + French + Iraq_Jews + Palestinian @ 1.195
3 Azerbaijan_Jews + Jordanians_19 + Mixed_Germanic + Spanish @ 1.251
4 Azerbaijan_Jews + Dutch + IBS + Jordanians_19 @ 1.287
5 IBS + Iraq_Jews + Kent + Syrians @ 1.292
6 French + French + Iraq_Jews + Palestinian @ 1.307
7 Azerbaijan_Jews + Jordanians_19 + Mixed_Germanic + Spaniards @ 1.323
8 Iraq_Jews + Kent + Spanish + Syrians @ 1.326
9 Iraq_Jews + Mixed_Germanic + Palestinian + Spaniards @ 1.333
10 Azerbaijan_Jews + Dutch + Jordanians_19 + Spanish @ 1.335
11 Iraq_Jews + Jordanians_19 + Mixed_Germanic + Spaniards @ 1.347
12 French + French + Iraq_Jews + Palestinian @ 1.355
13 Azerbaijan_Jews + IBS + Jordanians_19 + Mixed_Germanic @ 1.357
14 French + French + Iranian_Jews + Jordanians_19 @ 1.359
15 IBS + Iranian_Jews + Kent + Syrians @ 1.371
16 British_Isles + IBS + Iraq_Jews + Syrians @ 1.371
17 Dutch + Georgia_Jews + IBS + Syrians @ 1.379
18 Iranian_Jews + Mixed_Germanic + Palestinian + Spaniards @ 1.383
19 French + French + Iranian_Jews + Palestinian @ 1.386
20 French + French + Iraq_Jews + Jordanians_19 @ 1.398

931424 iterations.

Done.

Elapsed time 1.3330 seconds.

Dodecad V3 Oracle-x Population Fitting

Pct. Calc. Option 1

1 TSI 77.02%
2 Saudis 9.16%
3 Lezgins 4.50%
4 Kalash 3.41%
5 Cornwall 1.73%
6 Egypt 1.61%
7 East_African 1.48%
8 Mozabite 1.00%
9 Libya 0.09%
10 MKK 0.00%

Pct. Calc. Option 2

0 Unable to determine 0.02%
1 TSI 50.75%
2 Saudis 9.02%
3 Kalash 8.43%
4 O_Italian 8.35%
5 Ashkenazy_Jews 7.33%
6 Yemenese 7.25%
7 Irish 4.66%
8 Portuguese 4.17%
9 Morocco_N 0.02%
10 Ethiopians 0.01%

FaerieQueene
10-10-2013, 08:55 AM
Dodecad V3 Oracle results:

Admix Results (sorted):

# Population Percent
1 Mediterranean 31.76
2 West_Asian 30.87
3 Southwest_Asian 25.46
4 Northwest_African 3.79
5 West_European 3.13
6 East_African 2.78
7 South_Asian 1.81
8 Neo_African 0.4

Single Population Sharing:

# Population (source) Distance
1 Samaritians (Behar) 4.56
2 Lebanese (Behar) 5.26
3 Palestinian (HGDP) 5.84
4 Jordanians_19 (Behar) 6.99
5 Syrians (Behar) 9.32
6 Georgia_Jews (Behar) 10.24
7 Druze (HGDP) 10.26
8 Iraq_Jews (Behar) 10.98
9 Iranian_Jews (Behar) 11.67
10 Uzbekistan_Jews (Behar) 14.12
11 Azerbaijan_Jews (Behar) 14.55
12 Cypriots (Behar) 14.8
13 Morocco_Jews (Behar) 15.11
14 Egypt (Henn) 15.92
15 Sephardic_Jews (Behar) 17.06
16 Kurd (Xing) 18.76
17 Assyrian (Dodecad) 19.41
18 Ashkenazi (Dodecad) 19.72
19 Turkish (Dodecad) 19.76
20 Bedouin (HGDP) 20.52

Mixed Mode Population Sharing:

# * Primary Population (source) Secondary Population (source) Distance
1 * 87.3% Samaritians (Behar) + 12.7% Libya (Henn) @ 2.64
2 * 90.5% Samaritians (Behar) + 9.5% Morocco_N (Henn) @ 2.65
3 * 90.3% Samaritians (Behar) + 9.7% Algeria (Henn) @ 2.74
4 * 81.2% Samaritians (Behar) + 18.8% Egypt (Henn) @ 2.77
5 * 90.7% Samaritians (Behar) + 9.3% North_African (Dodecad) @ 2.81
6 * 92.2% Samaritians (Behar) + 7.8% Sahara_OCC (Henn) @ 2.99
7 * 92.5% Samaritians (Behar) + 7.5% TUNISIA (Henn) @ 3.09
8 * 93.3% Samaritians (Behar) + 6.7% Morocco_S (Henn) @ 3.18
9 * 93.2% Samaritians (Behar) + 6.8% Moroccans (Behar) @ 3.19
10 * 81.9% Samaritians (Behar) + 18.1% Morocco_Jews (Behar) @ 3.19
11 * 86.8% Samaritians (Behar) + 13.2% Egyptans (Behar) @ 3.23
12 * 93.6% Samaritians (Behar) + 6.4% Portuguese (Dodecad) @ 3.25
13 * 60.8% Samaritians (Behar) + 39.2% Palestinian (HGDP) @ 3.36
14 * 94.2% Samaritians (Behar) + 5.8% Spanish (Dodecad) @ 3.39
15 * 94.1% Samaritians (Behar) + 5.9% IBS (1000Genomes) @ 3.4
16 * 96.3% Samaritians (Behar) + 3.7% Chenchu (Reich) @ 3.44
17 * 96.2% Samaritians (Behar) + 3.8% AP_Mala (Xing) @ 3.44
18 * 94.3% Samaritians (Behar) + 5.7% Spaniards (Behar) @ 3.44
19 * 96.1% Samaritians (Behar) + 3.9% Bhil (Reich) @ 3.45
20 * 96% Samaritians (Behar) + 4% Satnami(Reich) @ 3.46

Dodecad V3 4-Ancestors Oracle

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Samaritians @ 5.048
2 Lebanese @ 5.754
3 Palestinian @ 6.191
4 Jordanians_19 @ 7.583
5 Syrians @ 10.249
6 Georgia_Jews @ 11.505
7 Druze @ 11.613
8 Iraq_Jews @ 12.387
9 Iranian_Jews @ 13.117
10 Uzbekistan_Jews @ 15.749
227 iterations.

Using 2 populations approximation:
1 50% Palestinian +50% Samaritians @ 3.826
2 50% Jordanians_19 +50% Samaritians @ 4.376
3 50% Lebanese +50% Samaritians @ 4.445
4 50% Samaritians +50% Samaritians @ 5.048
5 50% Lebanese +50% Palestinian @ 5.493
6 50% Lebanese +50% Lebanese @ 5.754
7 50% Druze +50% Jordanians_19 @ 5.861
8 50% Jordanians_19 +50% Lebanese @ 5.899
9 50% Bedouin +50% Cypriots @ 6.106
10 50% Palestinian +50% Palestinian @ 6.191
25878 iterations.

Using 3 populations approximation:
1 50% Samaritians +25% Jordanians_19 +25% Morocco_Jews @ 2.681
2 50% Druze +25% Bedouin +25% Sephardic_Jews @ 2.840
3 50% Iraq_Jews +25% Bedouin +25% Sephardic_Jews @ 2.891
4 50% Jordanians_19 +25% Samaritians +25% Sephardic_Jews @ 3.061
5 50% Jordanians_19 +25% Iraq_Jews +25% Sephardic_Jews @ 3.196
6 50% Samaritians +25% Morocco_Jews +25% Syrians @ 3.229
7 50% Samaritians +25% Jordanians_19 +25% Sephardic_Jews @ 3.251
8 50% Samaritians +25% Samaritians +25% Egypt @ 3.290
9 50% Samaritians +25% Sephardic_Jews +25% Syrians @ 3.297
10 50% Jordanians_19 +25% Morocco_Jews +25% Samaritians @ 3.338
283629 iterations.

Using 4 populations approximation:
1 Bedouin + Iraq_Jews + Samaritians + Sephardic_Jews @ 2.095
2 Bedouin + Iranian_Jews + Samaritians + Sephardic_Jews @ 2.278
3 Azerbaijan_Jews + Bedouin + Samaritians + Sephardic_Jews @ 2.376
4 Bedouin + Druze + Samaritians + Sephardic_Jews @ 2.399
5 Bedouin + Druze + Iraq_Jews + Sephardic_Jews @ 2.495
6 Assyrian + Bedouin + Samaritians + Sephardic_Jews @ 2.646
7 Jordanians_19 + Morocco_Jews + Samaritians + Samaritians @ 2.681
8 Bedouin + Iraq_Jews + S_Italian + Samaritians @ 2.776
9 Jordanians_19 + Samaritians + Sephardic_Jews + Syrians @ 2.797
10 Bedouin + Druze + Iranian_Jews + Sephardic_Jews @ 2.818
11 Bedouin + Druze + Druze + Sephardic_Jews @ 2.840
12 Bedouin + Georgia_Jews + Samaritians + Sephardic_Jews @ 2.856
13 Bedouin + Iraq_Jews + Iraq_Jews + Sephardic_Jews @ 2.891
14 Bedouin + Druze + Georgia_Jews + Sephardic_Jews @ 2.997
15 Bedouin + Iranian_Jews + S_Italian + Samaritians @ 3.006
16 Jordanians_19 + Jordanians_19 + Samaritians + Sephardic_Jews @ 3.061
17 Bedouin + Iraq_Jews + Samaritians + Sicilian @ 3.098
18 Bedouin + Iraq_Jews + S_Italian_Sicilian + Samaritians @ 3.121
19 Palestinian + Samaritians + Sephardic_Jews + Syrians @ 3.155
20 Iraq_Jews + Jordanians_19 + Jordanians_19 + Sephardic_Jews @ 3.196

345447 iterations.

Done.

Elapsed time 0.6355 seconds.

Dodecad V3 Oracle-x Population Fitting

Pct. Calc. Option 1

1 Samaritians 84.84%
2 North_African 4.10%
3 Yemen_Jews 3.03%
4 French_Basque 2.56%
5 Sephardic_Jews 2.55%
6 Chenchu 2.01%
7 East_African 0.91%
8 Morocco_N 0.00%
9 Egypt 0.00%
10 Egyptans 0.00%

Pct. Calc. Option 2

1 Samaritians 77.58%
2 Morocco_N 6.79%
3 French_Basque 3.74%
4 Chenchu 2.88%
5 Egyptans 2.87%
6 Yemen_Jews 2.67%
7 Syrians 2.18%
8 Ethiopian_Jews 1.11%
9 Jordanians_19 0.19%
10 Naidu 0.00%

FaerieQueene
10-10-2013, 09:03 AM
Dodecad V3 Oracle results:

Admix Results (sorted):

# Population Percent
1 West_European 49.08
2 Mediterranean 25.64
3 East_European 11.55
4 West_Asian 10.69
5 South_Asian 1.21
6 Southwest_Asian 1.02
7 East_African 0.27
8 Neo_African 0.27
9 Palaeo_African 0.16
10 Northwest_African 0.13

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 5.31
2 N._European (Xing) 6.05
3 Argyll (1000 Genomes) 6.67
4 Orcadian (HGDP) 7.25
5 Orkney (1000 Genomes) 7.59
6 German (Dodecad) 7.66
7 French (HGDP) 11.05
8 French (Dodecad) 11.49
9 Mixed_Germanic (Dodecad) 11.77
10 Slovenian (Xing) 13.06
11 Dutch (Dodecad) 13.24
12 Kent (1000 Genomes) 15.39
13 British_Isles (Dodecad) 17.21
14 British (Dodecad) 17.34
15 Hungarians (Behar) 17.44
16 Cornwall (1000 Genomes) 17.83
17 Swedish (Dodecad) 19.61
18 Irish (Dodecad) 20.08
19 Norwegian (Dodecad) 20.81
20 French_Basque (HGDP) 22.57

Mixed Mode Population Sharing:

# * Primary Population (source) Secondary Population (source) Distance
1 * 85.4% Argyll (1000 Genomes) + 14.6% Greek (Dodecad) @ 1.13
2 * 90.7% CEU (HapMap) + 9.3% Turks (Behar) @ 1.32
3 * 57.9% Irish (Dodecad) + 42.1% Romanians_14 (Behar) @ 1.34
4 * 90.1% CEU (HapMap) + 9.9% Turkish (Dodecad) @ 1.34
5 * 89% Argyll (1000 Genomes) + 11% Cypriots (Behar) @ 1.45
6 * 90.7% CEU (HapMap) + 9.3% Kurd (Xing) @ 1.46
7 * 61.6% British_Isles (Dodecad) + 38.4% Romanians_14 (Behar) @ 1.5
8 * 90.6% CEU (HapMap) + 9.4% Kurd (Dodecad) @ 1.55
9 * 92.2% CEU (HapMap) + 7.8% Armenians_16 (Behar) @ 1.57
10 * 91.4% CEU (HapMap) + 8.6% Iranian (Dodecad) @ 1.59
11 * 92% CEU (HapMap) + 8% Armenian (Dodecad) @ 1.64
12 * 70.3% Mixed_Germanic (Dodecad) + 29.7% Romanians_14 (Behar) @ 1.64
13 * 67.7% Dutch (Dodecad) + 32.3% Romanians_14 (Behar) @ 1.68
14 * 86.7% Argyll (1000 Genomes) + 13.3% S_Italian (Dodecad) @ 1.69
15 * 60.2% Cornwall (1000 Genomes) + 39.8% Balkans (Dodecad) @ 1.7
16 * 86.2% Argyll (1000 Genomes) + 13.8% Sicilian (Dodecad) @ 1.72
17 * 67.2% Dutch (Dodecad) + 32.8% Balkans (Dodecad) @ 1.73
18 * 87% Orcadian (HGDP) + 13% Turkish (Dodecad) @ 1.73
19 * 90.5% CEU (HapMap) + 9.5% Uzbekistan_Jews (Behar) @ 1.73
20 * 69.8% Mixed_Germanic (Dodecad) + 30.2% Balkans (Dodecad) @ 1.75

Dodecad V3 4-Ancestors Oracle

--------------------------------

Least-squares method.

Using 1 population approximation:
1 CEU @ 5.709
2 N._European @ 6.611
3 Argyll @ 7.196
4 Orcadian @ 7.836
5 Orkney @ 8.229
6 German @ 8.432
7 French @ 12.047
8 French @ 12.577
9 Mixed_Germanic @ 12.846
10 Dutch @ 14.489
227 iterations.

Using 2 populations approximation:
1 50% Dutch +50% Slovenian @ 3.937
2 50% Mixed_Germanic +50% Slovenian @ 4.212
3 50% Kent +50% Slovenian @ 4.296
4 50% Cornwall +50% Hungarians @ 4.649
5 50% Irish +50% Romanians_14 @ 4.662
6 50% Balkans +50% Irish @ 4.718
7 50% Hungarians +50% Kent @ 4.812
8 50% N_Italian +50% Swedish @ 4.853
9 50% Cornwall +50% Slovenian @ 4.926
10 50% Dutch +50% Hungarians @ 5.013
25878 iterations.

Using 3 populations approximation:
1 50% Mixed_Germanic +25% Orcadian +25% Romanians_14 @ 1.128
2 50% Mixed_Germanic +25% Orkney +25% Romanians_14 @ 1.151
3 50% Mixed_Germanic +25% Romanians_14 +25% Argyll @ 1.167
4 50% Mixed_Germanic +25% CEU +25% Romanians_14 @ 1.196
5 50% Argyll +25% Cornwall +25% Romanians_14 @ 1.299
6 50% Argyll +25% British +25% Romanians_14 @ 1.478
7 50% Argyll +25% Kent +25% Romanians_14 @ 1.490
8 50% Mixed_Germanic +25% Romanians_14 +25% N._European @ 1.527
9 50% Dutch +25% Romanians_14 +25% Argyll @ 1.535
10 50% Argyll +25% British_Isles +25% Romanians_14 @ 1.591
408613 iterations.

Using 4 populations approximation:
1 Dutch + Mixed_Germanic + Romanians_14 + Argyll @ 1.107
2 Mixed_Germanic + Mixed_Germanic + Orcadian + Romanians_14 @ 1.128
3 Mixed_Germanic + Mixed_Germanic + Orkney + Romanians_14 @ 1.151
4 Mixed_Germanic + Mixed_Germanic + Romanians_14 + Argyll @ 1.167
5 CEU + Mixed_Germanic + Mixed_Germanic + Romanians_14 @ 1.196
6 CEU + Dutch + Mixed_Germanic + Romanians_14 @ 1.255
7 Cornwall + Romanians_14 + Argyll + Argyll @ 1.299
8 Dutch + Mixed_Germanic + Orcadian + Romanians_14 @ 1.324
9 Dutch + Mixed_Germanic + Orkney + Romanians_14 @ 1.367
10 Cornwall + Romanians_14 + Argyll + N._European @ 1.380
11 Dutch + Mixed_Germanic + Romanians_14 + N._European @ 1.414
12 CEU + Cornwall + Romanians_14 + Argyll @ 1.477
13 British + Romanians_14 + Argyll + Argyll @ 1.478
14 Kent + Romanians_14 + Argyll + Argyll @ 1.490
15 CEU + Kent + Mixed_Germanic + Romanians_14 @ 1.499
16 Cornwall + Orcadian + Romanians_14 + Argyll @ 1.526
17 Mixed_Germanic + Mixed_Germanic + Romanians_14 + N._European @ 1.527
18 Kent + Mixed_Germanic + Romanians_14 + Argyll @ 1.528
19 Dutch + Dutch + Romanians_14 + Argyll @ 1.535
20 Cornwall + Orcadian + Romanians_14 + N._European @ 1.547

1052856 iterations.

Done.

Elapsed time 1.1952 seconds.

Dodecad V3 Oracle-x Population Fitting

Pct. Calc. Option 1

1 CEU 87.87%
2 Balkans 5.18%
3 Georgians 4.33%
4 S_Italian 1.13%
5 GIH 1.09%
6 MKK 0.35%
7 Egyptans 0.05%
8 Egypt 0.00%
9 Iranians 0.00%
10 Yemenese 0.00%

Pct. Calc. Option 2

0 Unable to determine 0.01%
1 CEU 55.80%
2 Iranians 8.24%
3 Argyll 8.24%
4 French 7.42%
5 French_Basque 6.06%
6 Mixed_Germanic 5.27%
7 Belorussian 5.17%
8 FIN 2.70%
9 Turks 1.07%
10 Balkans 0.00%

Kurd
02-13-2015, 02:14 PM
My Dodecad V3

http://i1377.photobucket.com/albums/ah42/dil88888/Dodecad%20V3%20Admix_zpsxrfbns1g.jpg (http://s1377.photobucket.com/user/dil88888/media/Dodecad%20V3%20Admix_zpsxrfbns1g.jpg.html)

Admix Results (sorted):

# Population Percent
1 West_Asian 39.87
2 Mediterranean 18.39
3 South_Asian 14.43
4 Southwest_Asian 12.11
5 West_European 7.71
6 Northeast_Asian 2.44
7 East_European 2.22
8 Southeast_Asian 1.62
9 Northwest_African 0.49
10 East_African 0.38
11 Palaeo_African 0.32
12 Neo_African 0.02
Single Population Sharing:

# Population (source) Distance

1 Kurd (Dodecad) 5.53
2 Kurd (Xing) 7.21
3 Iranians (Behar) 8.6
4 Iranian (Dodecad) 9.93
5 Uzbekistan_Jews (Behar) 10.25
6 Azerbaijan_Jews (Behar) 13.83
7 Turks (Behar) 14.45
8 Iranian_Jews (Behar) 14.48
9 Turkish (Dodecad) 15.09
10 Georgia_Jews (Behar) 15.49
11 Iraq_Jews (Behar) 16.8
12 Makrani (HGDP) 17.93
http://www4.gedmatch.com/oracle2.php[2/12/2015 4:45:14 PM]
13 Stalskoe (Xing) 18.09
14 Assyrian (Dodecad) 19.04
15 Druze (HGDP) 19.75
16 Syrians (Behar) 20.39
17 Armenian (Dodecad) 20.45
18 Brahui (HGDP) 20.52
19 Lebanese (Behar) 20.97
20 Urkarah (Xing) 21.13

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance

1 91.4% Kurd (Dodecad) + 8.6% Tharu (Reich) @ 2.28
2 92.7% Kurd (Dodecad) + 7.3% Madiga (Reich) @ 2.29
3 92.9% Kurd (Dodecad) + 7.1% TN_Dalit (Xing) @ 2.32
4 91.2% Kurd (Dodecad) + 8.8% Velama (Reich) @ 2.32
5 92.8% Kurd (Dodecad) + 7.2% AP_Mala (Xing) @ 2.33
6 92.4% Kurd (Dodecad) + 7.6% Kamsali (Reich) @ 2.33
7 92.6% Kurd (Dodecad) + 7.4% Kurumba (Reich) @ 2.34
8 92.9% Kurd (Dodecad) + 7.1% Mala (Reich) @ 2.34
9 87.1% Kurd (Dodecad) + 12.9% Burusho (HGDP) @ 2.35
10 92.1% Kurd (Dodecad) + 7.9% Hallaki (Reich) @ 2.37

Using 2 populations approximation:

1 50% Azerbaijan_Jews +50% Makrani @ 4.806398

Using 3 populations approximation:

1 50% Azerbaijan_Jews +25% Burusho +25% Iranian @ 1.694000

Using 4 populations approximation:

1 Azerbaijan_Jews + Azerbaijan_Jews + Burusho + Iranian @ 1.694000
2 Adygei + Druze + Iraq_Jews + Meghawal @ 1.842579
3 Assyrian + Bnei_Menashe_Jews + Iranians + Stalskoe @ 1.899988
4 Adygei + Azerbaijan_Jews + Samaritians + Meghawal @ 1.936085
5 Armenian + Burusho + Iranians + Uzbekistan_Jews @ 1.940063
6 Assyrian + Assyrian + Sindhi + Stalskoe @ 2.014706
7 Assyrian + Bnei_Menashe_Jews + Iranian + Stalskoe @ 2.035966
8 Adygei + Cochin_Jews + Druze + Iranian_Jews @ 2.045741
9 Adygei + Azerbaijan_Jews + Cochin_Jews + Druze @ 2.057507
10 Adygei + Cochin_Jews + Druze + Georgia_Jews @ 2.066751

surbakhunWeesste
02-13-2015, 02:43 PM
# Population Percent
1 West_Asian 33.72
2 South_Asian 26.71
3 West_European 12.36
4 Mediterranean 8.9
5 East_European 6.89
6 Southwest_Asian 4.86
7 Northeast_Asian 4.19
8 Southeast_Asian 1.87
9 East_African 0.41
10 Palaeo_African 0.09

Single Population Sharing:

# Population (source) Distance
1 Balochi (HGDP) 9.24
2 Brahui (HGDP) 9.57
3 Makrani (HGDP) 10.15
4 Pathan (HGDP) 13.6
5 Kalash (HGDP) 17.88
6 Burusho (HGDP) 18.13
7 Kashmiri_Pandit (Reich) 18.72
8 Bnei_Menashe_Jews (Behar) 19.94
9 Pakistani (Xing) 20.13
10 Sindhi (HGDP) 20.85
11 Kurd (Dodecad) 22.05
12 Iranians (Behar) 23.24
13 Stalskoe (Xing) 23.27
14 Iranian (Dodecad) 23.31
15 Kurd (Xing) 24
16 Urkarah (Xing) 24.92
17 Uzbekistan_Jews (Behar) 26.71
18 Turks (Behar) 29.17
19 Turkish (Dodecad) 29.82
20 Cochin_Jews (Behar) 29.84

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 73% Pathan (HGDP) + 27% Adygei (HGDP) @ 3.87
2 63.8% Pathan (HGDP) + 36.2% Iranian (Dodecad) @ 3.91
3 73.5% Balochi (HGDP) + 26.5% Stalskoe (Xing) @ 4.11
4 54.6% Urkarah (Xing) + 45.4% Cochin_Jews (Behar) @ 4.38
5 61.1% Urkarah (Xing) + 38.9% Velama (Reich) @ 4.39
6 65.7% Pathan (HGDP) + 34.3% Urkarah (Xing) @ 4.55
7 54.6% Sindhi (HGDP) + 45.4% Urkarah (Xing) @ 4.73
8 55.6% Pakistani (Xing) + 44.4% Urkarah (Xing) @ 4.73
9 56.6% Burusho (HGDP) + 43.4% Iranian (Dodecad) @ 4.8
10 57.5% Kashmiri_Pandit (Reich) + 42.5% Urkarah (Xing) @ 4.82
11 64.2% Pathan (HGDP) + 35.8% Stalskoe (Xing) @ 4.83
12 52.9% Sindhi (HGDP) + 47.1% Stalskoe (Xing) @ 4.87
13 73.5% Brahui (HGDP) + 26.5% Stalskoe (Xing) @ 4.93
14 75.8% Balochi (HGDP) + 24.2% Urkarah (Xing) @ 4.93
15 64.3% Pakistani (Xing) + 35.7% Adygei (HGDP) @ 4.99
16 58.2% Urkarah (Xing) + 41.8% TN_Brahmin (Xing) @ 5.01
17 69.4% Pathan (HGDP) + 30.6% Turks (Behar) @ 5.02
18 55.8% Urkarah (Xing) + 44.2% Meghawal (Reich) @ 5.07
19 53.8% Pakistani (Xing) + 46.2% Stalskoe (Xing) @ 5.07
20 63% Pathan (HGDP) + 37% Kurd (Dodecad) @ 5.09

Salkin
02-13-2015, 02:50 PM
Admix Results (sorted):

# Population Percent
1 West_European 56.28
2 Mediterranean 22.6
3 East_European 14.92
4 West_Asian 3.68
5 South_Asian 1.24
6 Southwest_Asian 0.65
7 Northeast_Asian 0.64

Single Population Sharing:

# Population (source) Distance
1 German (Dodecad) 4.65
2 Orkney (1000 Genomes) 4.85
3 Argyll (1000 Genomes) 4.92
4 Orcadian (HGDP) 5.05
5 N._European (Xing) 5.68
6 CEU (HapMap) 5.9
7 Mixed_Germanic (Dodecad) 10.59
8 Dutch (Dodecad) 11.1
9 Swedish (Dodecad) 12.28
10 Kent (1000 Genomes) 12.74
11 British_Isles (Dodecad) 13.71
12 Norwegian (Dodecad) 13.85
13 British (Dodecad) 14.19
14 French (Dodecad) 15
15 Cornwall (1000 Genomes) 15.06
16 French (HGDP) 15.21
17 Irish (Dodecad) 16.21
18 Slovenian (Xing) 17.11
19 FIN (1000Genomes) 19.92
20 Hungarians (Behar) 20.75

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 82.2% Orkney (1000 Genomes) + 17.8% FIN (1000Genomes) @ 2.26
2 81.5% Orcadian (HGDP) + 18.5% FIN (1000Genomes) @ 2.3
3 70.5% British (Dodecad) + 29.5% Polish (Dodecad) @ 2.44
4 87.6% Orkney (1000 Genomes) + 12.4% Finnish (Dodecad) @ 2.46
5 76.4% British (Dodecad) + 23.6% Belorussian (Behar) @ 2.56
6 87.2% Orcadian (HGDP) + 12.8% Finnish (Dodecad) @ 2.61
7 71.3% British_Isles (Dodecad) + 28.7% Polish (Dodecad) @ 2.65
8 78.4% Kent (1000 Genomes) + 21.6% Belorussian (Behar) @ 2.69
9 72.8% Kent (1000 Genomes) + 27.2% Polish (Dodecad) @ 2.69
10 69.3% Cornwall (1000 Genomes) + 30.7% Polish (Dodecad) @ 2.75
11 77.1% British_Isles (Dodecad) + 22.9% Belorussian (Behar) @ 2.83
12 75.3% Cornwall (1000 Genomes) + 24.7% Belorussian (Behar) @ 2.85
13 92.4% Orkney (1000 Genomes) + 7.6% Lithuanians (Behar) @ 2.89
14 79.3% CEU (HapMap) + 20.7% FIN (1000Genomes) @ 2.9
15 92.8% Orkney (1000 Genomes) + 7.2% Lithuanian (Dodecad) @ 2.9
16 80.9% Dutch (Dodecad) + 19.1% Belorussian (Behar) @ 3.03
17 71.3% British (Dodecad) + 28.7% Mixed_Slav (Dodecad) @ 3.03
18 79.1% German (Dodecad) + 20.9% British_Isles (Dodecad) @ 3.04
19 81.9% German (Dodecad) + 18.1% Irish (Dodecad) @ 3.04
20 79.4% German (Dodecad) + 20.6% Norwegian (Dodecad) @ 3.05

Gray Fox
02-13-2015, 03:50 PM
Admix Results (sorted):


# Population Percent
1 West_European 52.39
2 Mediterranean 25.83
3 East_European 10.48
4 West_Asian 8.1
5 Southwest_Asian 1.32
6 South_Asian 1.22
7 Palaeo_African 0.36
8 Neo_African 0.3

Oracle 4:


Least-squares method.

Using 1 population approximation:
1 CEU @ 2.108189
2 N._European @ 3.760946
3 Argyll @ 4.313212
4 Orcadian @ 4.348445
5 Orkney @ 4.699151
6 German @ 7.669798
7 Mixed_Germanic @ 10.038339
8 French @ 10.494531
9 French @ 10.880107
10 Dutch @ 11.125261
11 Kent @ 13.528136
12 British_Isles @ 15.500381
13 British @ 15.637527
14 Cornwall @ 16.279219
15 Slovenian @ 17.535900
16 Irish @ 18.777277
17 Swedish @ 18.925110
18 Norwegian @ 19.851757
19 Hungarians @ 22.176821
20 French_Basque @ 23.235918


Least-squares method.

Using 1 population approximation:
1 CEU @ 2.108189
2 N._European @ 3.760946
3 Argyll @ 4.313212
4 Orcadian @ 4.348445
5 Orkney @ 4.699151
6 German @ 7.669798
7 Mixed_Germanic @ 10.038339
8 French @ 10.494531
9 French @ 10.880107
10 Dutch @ 11.125261
11 Kent @ 13.528136
12 British_Isles @ 15.500381
13 British @ 15.637527
14 Cornwall @ 16.279219
15 Slovenian @ 17.535900
16 Irish @ 18.777277
17 Swedish @ 18.925110
18 Norwegian @ 19.851757
19 Hungarians @ 22.176821
20 French_Basque @ 23.235918

Using 2 populations approximation:
1 50% CEU +50% CEU @ 2.108189


Using 3 populations approximation:
1 50% British_Isles +25% Orkney +25% Romanians_14 @ 1.296495


Using 4 populations approximation:
1 Dutch + French + Argyll + Slovenian @ 0.837361
2 Dutch + French + Orkney + Slovenian @ 0.952786
3 French + Kent + Argyll + Slovenian @ 1.005613
4 French + Kent + N._European + Slovenian @ 1.024857
5 French + Mixed_Germanic + Orkney + Slovenian @ 1.042179
6 Dutch + French + Orcadian + Slovenian @ 1.047124
7 Dutch + French + N._European + Slovenian @ 1.081809
8 Dutch + French + Argyll + Slovenian @ 1.085328
9 N_Italian + Swedish + Argyll + N._European @ 1.104043
10 French + Kent + Argyll + Slovenian @ 1.111276
11 Balkans + British + British + CEU @ 1.126064
12 Cornwall + French + Hungarians + N._European @ 1.127316
13 N_Italian + Swedish + Argyll + Argyll @ 1.130005
14 Dutch + French + Hungarians + Mixed_Germanic @ 1.142194
15 Balkans + British + CEU + Cornwall @ 1.146934
16 French + Kent + N._European + Slovenian @ 1.147534
17 Dutch + French + Hungarians + Mixed_Germanic @ 1.160283
18 French + Mixed_Germanic + Orcadian + Slovenian @ 1.180625
19 French + Hungarians + Mixed_Germanic + Mixed_Germanic @ 1.187564
20 Balkans + CEU + Cornwall + Cornwall @ 1.188595

SwampThing27
02-13-2015, 04:33 PM
# Population Percent
1 West_European 50.68
2 Mediterranean 27.44
3 East_European 9.40
4 West_Asian 8.06
5 South_Asian 2.45

Using 1 population approximation:
1 CEU @ 4.669805
2 N._European @ 6.475776
3 Orcadian @ 6.767454
4 Argyll @ 6.925710
5 Orkney @ 7.121601

Using 4 populations approximation:
1 Balkans + British + Dutch + French @ 2.545209
2 Balkans + British + Dutch + French @ 2.554089
3 Balkans + Cornwall + Dutch + French @ 2.576302
4 Balkans + British_Isles + Dutch + French @ 2.576550
5 Balkans + British_Isles + Dutch + French @ 2.590739

randwulf
02-13-2015, 05:32 PM
# Population Percent
1 West_European 49.19
2 Mediterranean 28.85
3 East_European 9.24
4 West_Asian 8.35
5 Southwest_Asian 2.36
6 Northwest_African 0.97
7 Northeast_Asian 0.63
8 South_Asian 0.26
9 Palaeo_African 0.14

Using 1 population approximation:
1 CEU @ 6.348778
2 French @ 8.001936
3 N._European @ 8.082537
4 French @ 8.250482
5 Orcadian @ 8.711238
6 Argyll @ 8.972340
7 Orkney @ 9.125158
8 German @ 11.031699

Using 4 populations approximation:
1 French_Basque + Greek + Swedish + Swedish @ 1.072249
2 Cornwall + Romanians_14 + Spaniards + Swedish @ 1.086045
3 IBS + Irish + Romanians_14 + Swedish @ 1.136721
4 French + German + Swedish + Tuscan @ 1.142537
5 CEU + N_Italian + N._European + N._European @ 1.144062
6 IBS + Irish + Norwegian + Romanians_14 @ 1.148145
7 North_Italian + N._European + N._European + N._European @ 1.170753
8 Cornwall + Norwegian + Portuguese + Romanians_14 @ 1.196442
9 Mixed_Germanic + Spaniards + N._European + Slovenian @ 1.201649
10 French + German + Swedish + Tuscan @ 1.209434
11 IBS + Mixed_Germanic + Mixed_Germanic + Slovenian @ 1.216807
12 N_Italian + Orkney + N._European + N._European @ 1.221963
13 N_Italian + N._European + N._European + N._European @ 1.232763
14 N_Italian + Orcadian + N._European + N._European @ 1.237321
15 Cornwall + IBS + Norwegian + Romanians_14 @ 1.253009
16 Irish + Romanians_14 + Spaniards + Swedish @ 1.257789
17 French + German + Norwegian + O_Italian @ 1.260413
18 British + Romanians_14 + Spaniards + Swedish @ 1.261196
19 N_Italian + N_Italian + Swedish + Swedish @ 1.270987
20 Irish + Romanians_14 + Spanish + Swedish @ 1.279319

BalkanKiwi
03-28-2015, 10:31 AM
# Population Percent
1 West_European 47.49
2 Mediterranean 26.06
3 East_European 12.65
4 West_Asian 9.68
5 Southwest_Asian 2.25
6 South_Asian 1.55
7 Northwest_African 0.27
8 Neo_African 0.04

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 63% Dutch (Dodecad) + 37% Balkans (Dodecad) @ 1.37
2 78.7% N._European (Xing) + 21.3% Romanians_14 (Behar) @ 1.51
3 56.4% Cornwall (1000 Genomes) + 43.6% Balkans (Dodecad) @ 1.51
4 57.1% British (Dodecad) + 42.9% Balkans (Dodecad) @ 1.58
5 74.6% German (Dodecad) + 25.4% TSI (HapMap) @ 1.63
6 54.5% Irish (Dodecad) + 45.5% Romanians_14 (Behar) @ 1.75
7 59.7% Kent (1000 Genomes) + 40.3% Balkans (Dodecad) @ 1.77
8 74.7% German (Dodecad) + 25.3% Tuscan (Xing) @ 1.78
9 58.1% British_Isles (Dodecad) + 41.9% Romanians_14 (Behar) @ 1.84
10 74.6% German (Dodecad) + 25.4% Tuscan (Henn) @ 1.84
11 57.3% British_Isles (Dodecad) + 42.7% Balkans (Dodecad) @ 1.87
12 78.6% German (Dodecad) + 21.4% O_Italian (Dodecad) @ 1.89
13 53.8% Irish (Dodecad) + 46.2% Balkans (Dodecad) @ 1.91
14 84.4% N._European (Xing) + 15.6% Greek (Dodecad) @ 1.96
15 63.8% Dutch (Dodecad) + 36.2% Romanians_14 (Behar) @ 2
16 80.8% CEU (HapMap) + 19.2% Romanians_14 (Behar) @ 2.06
17 65.3% Mixed_Germanic (Dodecad) + 34.7% Balkans (Dodecad) @ 2.13
18 57.9% British (Dodecad) + 42.1% Romanians_14 (Behar) @ 2.14
19 81.6% German (Dodecad) + 18.4% C_Italian (Dodecad) @ 2.19
20 75.1% Orkney (1000 Genomes) + 24.9% Romanians_14 (Behar) @ 2.19

Least-squares method.
Using 1 population approximation:
1 CEU @ 7.142
2 N._European @ 7.929
3 German @ 8.466
4 Argyll @ 8.905
5 Orcadian @ 9.471
6 Orkney @ 9.837
7 Slovenian @ 12.743
8 French @ 12.829
9 French @ 12.986
10 Mixed_Germanic @ 14.966


Using 2 populations approximation:
1 50% Balkans +50% Irish @ 2.888
2 50% Irish +50% Romanians_14 @ 3.163
3 50% French +50% Slovenian @ 3.586
4 50% Balkans +50% Cornwall @ 3.628
5 50% Balkans +50% British @ 3.934
6 50% Balkans +50% British_Isles @ 4.143
7 50% Dutch +50% Hungarians @ 4.276
8 50% Dutch +50% Slovenian @ 4.377
9 50% French +50% Slovenian @ 4.407
10 50% Mixed_Germanic +50% Slovenian @ 4.531

Using 3 populations approximation:
1 50% N._European +25% Dutch +25% Romanians_14 @ 1.207
2 50% German +25% Argyll +25% Tuscan @ 1.279
3 50% German +25% Orkney +25% Tuscan @ 1.345
4 50% Cornwall +25% Mixed_Slav +25% O_Italian @ 1.366
5 50% German +25% Orcadian +25% Tuscan @ 1.375
6 50% Irish +25% C_Italian +25% Polish @ 1.399
7 50% German +25% TSI +25% Argyll @ 1.409
8 50% German +25% Argyll +25% Tuscan @ 1.415
9 50% Cornwall +25% O_Italian +25% Polish @ 1.434
10 50% British +25% Romanians_14 +25% Slovenian @ 1.434

Using 4 populations approximation:
1 CEU + Dutch + Romanians_14 + N._European @ 1.206
2 Dutch + Romanians_14 + N._European + N._European @ 1.207
3 German + German + Argyll + Tuscan @ 1.279
4 German + German + Orkney + Tuscan @ 1.345
5 Cornwall + Dutch + Romanians_14 + Slovenian @ 1.348
6 British + Dutch + Romanians_14 + Slovenian @ 1.361
7 Cornwall + Cornwall + Mixed_Slav + O_Italian @ 1.366
8 C_Italian + Cornwall + Irish + Polish @ 1.370
9 CEU + Mixed_Germanic + Romanians_14 + N._European @ 1.373
10 German + German + Orcadian + Tuscan @ 1.375
11 British + Kent + Romanians_14 + Slovenian @ 1.378
12 British + Cornwall + Mixed_Slav + O_Italian @ 1.399
13 C_Italian + Irish + Irish + Polish @ 1.399
14 German + German + TSI + Argyll @ 1.409
15 German + German + Argyll + Tuscan @ 1.415
16 Cornwall + Kent + Romanians_14 + Slovenian @ 1.429
17 Dutch + Romanians_14 + Argyll + N._European @ 1.432
18 Cornwall + Cornwall + O_Italian + Polish @ 1.434
19 British + British + Romanians_14 + Slovenian @ 1.434
20 Cornwall + Cornwall + Hungarians + Romanians_14 @ 1.436

Stephen1986
03-28-2015, 04:48 PM
Mine -


West_European 68.46%
Mediterranean 22.73%
West_Asian 6.40%
East_European 1.76%
South_Asian 0.45%
Northwest_African 0.20%

Using 1 population approximation:
1 Irish @ 2.732579
2 Cornwall @ 3.165281
3 British @ 3.421448
4 British_Isles @ 3.504302
5 Kent @ 5.313777
6 Dutch @ 7.767272
7 Mixed_Germanic @ 9.938682
8 Norwegian @ 11.531176
9 Swedish @ 14.924232
10 Orkney @ 15.252454
11 Orcadian @ 15.602109
12 Argyll @ 16.315554
13 N._European @ 17.082409
14 CEU @ 17.640787
15 French @ 20.039953
16 French @ 21.032179
17 German @ 21.936426
18 French_Basque @ 28.536579
19 FIN @ 35.093735
20 Slovenian @ 35.469650

Using 2 populations approximation:
1 50% Cornwall +50% Irish @ 2.386561


Using 3 populations approximation:
1 50% Cornwall +25% Irish +25% Irish @ 2.386561


Using 4 populations approximation:
1 Cornwall + Cornwall + Irish + Irish @ 2.386561
2 Cornwall + Irish + Irish + Irish @ 2.419799
3 British + Cornwall + Irish + Irish @ 2.436346
4 British + Irish + Irish + Irish @ 2.464183
5 British_Isles + Cornwall + Irish + Irish @ 2.467871
6 British + British + Irish + Irish @ 2.509341
7 British_Isles + Irish + Irish + Irish @ 2.536667
8 British + British_Isles + Irish + Irish @ 2.555271
9 Irish + Irish + Irish + Kent @ 2.579956
10 British_Isles + British_Isles + Irish + Irish @ 2.621894
11 Cornwall + Cornwall + Cornwall + Irish @ 2.667473
12 British_Isles + Cornwall + Cornwall + Irish @ 2.696141
13 Cornwall + Irish + Irish + Kent @ 2.696447
14 British + Cornwall + Cornwall + Irish @ 2.706001
15 Irish + Irish + Irish + Irish @ 2.732579
16 British + British + Cornwall + Irish @ 2.769900
17 British + British_Isles + Cornwall + Irish @ 2.774364
18 British + Irish + Irish + Kent @ 2.781406
19 British_Isles + British_Isles + Cornwall + Irish @ 2.798960
20 British_Isles + Irish + Irish + Kent @ 2.830856



My brother's -

West_European 60.25%
Mediterranean 24.77%
West_Asian 7.71%
East_European 4.55%
South_Asian 1.44%
Southwest_Asian 0.73%
Northwest_African 0.55%

Using 1 population approximation:
1 Dutch @ 2.130246
2 Mixed_Germanic @ 3.902932
3 Kent @ 4.061808
4 British @ 6.101459
5 British_Isles @ 6.203784
6 Cornwall @ 6.608110
7 Orkney @ 7.628653
8 Orcadian @ 7.873881
9 Argyll @ 8.632254
10 N._European @ 9.079848
11 CEU @ 9.318061
12 Irish @ 9.521657
13 French @ 12.365918
14 French @ 13.465328
15 Norwegian @ 14.361567
16 German @ 14.863466
17 Swedish @ 15.617645
18 French_Basque @ 23.638916
19 Slovenian @ 27.232231
20 Portuguese @ 29.564085

Using 2 populations approximation:
1 50% Dutch +50% Dutch @ 2.130246


Using 3 populations approximation:
1 50% Cornwall +25% French +25% Argyll @ 1.583207


Using 4 populations approximation:
1 Cornwall + French + Irish + Argyll @ 1.294076
2 British + French + Irish + Argyll @ 1.389361
3 British_Isles + French + Irish + Argyll @ 1.444977
4 French + Irish + Mixed_Germanic + Mixed_Germanic @ 1.482946
5 Cornwall + French + Irish + N._European @ 1.485964
6 Dutch + French + Irish + Mixed_Germanic @ 1.488864
7 Dutch + French + Irish + Mixed_Germanic @ 1.510176
8 French + Irish + Irish + Argyll @ 1.513601
9 French + Irish + Kent + Argyll @ 1.542329
10 Cornwall + French + Irish + Orkney @ 1.544875
11 British + French + Irish + N._European @ 1.559582
12 CEU + French + Irish + Irish @ 1.563237
13 British_Isles + French + Irish + N._European @ 1.571997
14 British_Isles + French + Kent + Mixed_Germanic @ 1.575222
15 British_Isles + Dutch + French + Mixed_Germanic @ 1.579643
16 Cornwall + French + Irish + Orcadian @ 1.580974
17 Cornwall + Cornwall + French + Argyll @ 1.583207
18 British_Isles + British_Isles + French + Mixed_Germanic @ 1.595847
19 French + Irish + Mixed_Germanic + Mixed_Germanic @ 1.616759
20 British + French + Irish + Orkney @ 1.622287

sweuro
03-28-2015, 05:34 PM
East European 4.3
West European 38.3
Mediterranean 48.2
Neo-African 0.2
West-Asian 1.9
South-Asian 0.7
Northeast Asian 0
Southeast Asian 0.2
East African 0.9
Southwest Asian 4.5
Northwest African 0.9
Paleo African 0


1 IBS (1000Genomes) 5.10
2 Spanish (Dodecad) 5.12
3 Spaniards (Behar) 6.22
4 Portuguese (Dodecad) 8.38
5 North_Italian (HGDP) 11.56
6 Sardinian (HGDP) 12.37
6 N_Italian (Dodecad) 12.76
7 French_Basque (HGDP) 15.38
8 French (Dodecad) 19.47
9 Tuscan (HGDP) 19.87

Anabasis
03-28-2015, 07:20 PM
My results

1 West_Asian 52.77
2 Mediterranean 30.19
3 Southwest_Asian 11.31
4 West_European 4.41
5 South_Asian 1.32

PureEvil
03-29-2015, 12:47 AM
Mine:
West_European 51.75
Mediterranean 25.10
East_European 10.87
West_Asian 7.79
Northwest_African 1.93
South_Asian 1.34

Using 1 population approximation:
1 CEU @ 3.037243
2 N._European @ 4.027048
3 Argyll @ 4.638264
4 Orcadian @ 5.014505
5 Orkney @ 5.273191
6 German @ 7.296768
7 Mixed_Germanic @ 10.693807
8 French @ 11.409155
9 French @ 11.740967
10 Dutch @ 11.906671
11 Kent @ 14.277221
12 British_Isles @ 16.170433
13 British @ 16.342867
14 Slovenian @ 16.875011
15 Cornwall @ 17.013397
16 Swedish @ 18.966045
17 Irish @ 19.398867
18 Norwegian @ 20.067705
19 Hungarians @ 21.522987
20 French_Basque @ 23.974546

Using 2 populations approximation:
1 50% CEU +50% CEU @ 3.037243


Using 3 populations approximation:
1 50% British +25% German +25% Romanians_14 @ 2.599850


Using 4 populations approximation:
1 Mixed_Germanic + Portuguese + Swedish + Slovenian @ 2.082958
2 French + Mixed_Germanic + Argyll + Slovenian @ 2.239219
3 French + Mixed_Germanic + Argyll + Slovenian @ 2.249908
4 Dutch + French + Argyll + Slovenian @ 2.289206
5 British_Isles + French + Hungarians + N._European @ 2.306165
6 French + Mixed_Germanic + Orkney + Slovenian @ 2.315260
7 French + Mixed_Germanic + N._European + Slovenian @ 2.319796
8 French + Mixed_Germanic + N._European + Slovenian @ 2.329509
9 Dutch + French + N._European + Slovenian @ 2.331471
10 French + Mixed_Germanic + Orkney + Slovenian @ 2.335554
11 Balkans + British + British + CEU @ 2.341097
12 British + French + Hungarians + N._European @ 2.359169
13 Balkans + British + British_Isles + CEU @ 2.364492
14 Dutch + French + Argyll + Slovenian @ 2.371196
15 Balkans + British + Dutch + Orkney @ 2.375170
16 Balkans + British + British + N._European @ 2.381670
17 Balkans + British + Kent + N._European @ 2.386932
18 French + Mixed_Germanic + Orcadian + Slovenian @ 2.390144
19 Cornwall + French + Hungarians + N._European @ 2.392473
20 British + French + German + Slovenian @ 2.392513

Kaido
03-29-2015, 12:57 AM
# Population Percent
1 South_Asian 35.82
2 West_Asian 28.68
3 West_European 11.63
4 Mediterranean 8.35
5 East_European 7.11
6 Northeast_Asian 2.99
7 Southeast_Asian 2.88
8 Southwest_Asian 2.2
9 Palaeo_African 0.19
10 Neo_African 0.15

Single Population Sharing:

# Population (source) Distance
1 Pathan (HGDP) 4.34
2 Balochi (HGDP) 8.52
3 Kashmiri_Pandit (Reich) 9.25
4 Burusho (HGDP) 9.57
5 Brahui (HGDP) 9.87
6 Pakistani (Xing) 10.59
7 Sindhi (HGDP) 11.61
8 Makrani (HGDP) 13.11
9 Bnei_Menashe_Jews (Behar) 13.76
10 Kalash (HGDP) 15.81
11 Cochin_Jews (Behar) 20.94
12 Vaish (Reich) 21.48
13 Meghawal (Reich) 21.76
14 TN_Brahmin (Xing) 24.84
15 Srivastava (Reich) 25.74
16 Nepalese (Xing) 25.86
17 AP_Brahmin (Xing) 25.86
18 Indian (Dodecad) 28.03
19 Velama (Reich) 29.58
20 Tharu (Reich) 30.44

Jusarius
03-30-2015, 09:25 AM
Population

West_European 47.93%
East_European 31.36%
Mediterranean 8.36%
Northeast_Asian 7.49%
West_Asian 2.41%
Southeast_Asian 2.24%
South_Asian 0.22%
Neo_African -
East_African -
Southwest_Asian -
Northwest_African -
Palaeo_African -


Using 1 population approximation:
1 FIN @ 8.600430
2 Finnish @ 9.969612
3 Polish @ 21.986406
4 Slovenian @ 22.094454
5 Mixed_Slav @ 22.148821
6 German @ 22.322506
7 Hungarians @ 22.859608
8 Russian @ 23.800045
9 Russian @ 24.480520
10 N._European @ 27.532587
11 Swedish @ 27.535694
12 Argyll @ 27.616291
13 Orkney @ 28.667305
14 CEU @ 28.717003
15 Orcadian @ 28.762934
16 Norwegian @ 31.477734
17 Chuvashs_16 @ 31.803366
18 Lithuanians @ 32.532585
19 Belorussian @ 32.596809
20 Mixed_Germanic @ 33.358246

Using 4 populations approximation:
1 Chuvashs_16 + FIN + Finnish + Swedish @ 2.663900
2 British_Isles + Chuvashs_16 + Finnish + Finnish @ 2.674455
3 British + Chuvashs_16 + Finnish + Finnish @ 2.696377
4 Chuvashs_16 + FIN + Finnish + Norwegian @ 2.721018
5 Chuvashs_16 + FIN + Finnish + Orkney @ 2.789912

rms2
03-30-2015, 10:33 AM
Here's what I got.

Admix Results (sorted):

# Population Percent
1 West_European 53.64
2 Mediterranean 26.02
3 East_European 10.20
4 West_Asian 8.39

Least-squares method.

Using 1 population approximation:
1 CEU @ 1.832696
2 Orcadian @ 3.332089
3 Argyll @ 3.596903
4 Orkney @ 3.788733
5 N._European @ 4.115239
6 German @ 8.238847
7 Mixed_Germanic @ 9.030252
8 Dutch @ 10.149973
9 French @ 10.422591
10 French @ 10.984034
11 Kent @ 12.417024
12 British_Isles @ 14.428957
13 British @ 14.596132
14 Cornwall @ 15.217913
15 Irish @ 17.762417
16 Swedish @ 18.335682
17 Slovenian @ 18.708019
18 Norwegian @ 19.088274
19 French_Basque @ 23.039660
20 Hungarians @ 23.271168

Reith
03-30-2015, 05:54 PM
West_European 50.96%
Mediterranean 22.87%
East_European 16.32%
West_Asian 9.16%
South_Asian 0.36%
Southwest_Asian 0.30%

BalkanKiwi
03-30-2015, 10:35 PM
I personally don't find the V3 particularly accurate however I know it differs from person to person.

Bleuteufel
04-02-2015, 02:46 AM
Admix Results (sorted):

# Population Percent
1 Neo_African 26.61
2 West_European 26.58
3 Palaeo_African 16.15
4 East_European 12.3
5 Mediterranean 9.56
6 East_African 4.38
7 West_Asian 2.15
8 South_Asian 0.86
9 Southeast_Asian 0.83
10 Northeast_Asian 0.3
11 Northwest_African 0.27

Single Population Sharing:

# Population (source) Distance
1 ASW (HapMap) 32.68
2 Siddi (Reich) 32.88
3 Fulani (Henn) 35.29
4 Morocco_S (Henn) 38.66
5 Hema (Xing) 40.93
6 Slovenian (Xing) 42.94
7 SANDAWE (Henn) 43.38
8 Algeria (Henn) 43.81
9 Hungarians (Behar) 43.93
10 Bulala (Henn) 44.61
11 Luhya (Xing) 45.82
12 Mada (Henn) 45.89
13 Balkans (Dodecad) 46.08
14 Luhya (Henn) 46.19
15 Alur (Xing) 46.21
16 German (Dodecad) 46.36
17 Romanians_14 (Behar) 46.72
18 Libya (Henn) 46.98
19 N._European (Xing) 47.02
20 Yemenese (Behar) 47.08

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 52.4% German (Dodecad) + 47.6% Bamoun (Henn) @ 4.16
2 52.1% German (Dodecad) + 47.9% Kongo (Henn) @ 4.17
3 52.3% German (Dodecad) + 47.7% Fang (Henn) @ 4.54
4 52.8% German (Dodecad) + 47.2% Igbo (Henn) @ 4.79
5 51.3% German (Dodecad) + 48.7% Kaba (Henn) @ 4.84
6 58.8% ASW (HapMap) + 41.2% German (Dodecad) @ 4.84
7 52.1% German (Dodecad) + 47.9% Hausa (Henn) @ 4.92
8 52.6% German (Dodecad) + 47.4% Brong (Henn) @ 4.96
9 56.9% ASW (HapMap) + 43.1% Slovenian (Xing) @ 5.17
10 50.5% German (Dodecad) + 49.5% LWK (HapMap) @ 5.28
11 60.2% ASW (HapMap) + 39.8% FIN (1000Genomes) @ 5.57
12 57.5% ASW (HapMap) + 42.5% Hungarians (Behar) @ 5.86
13 53.4% German (Dodecad) + 46.6% Bambaran (Xing) @ 5.88
14 50.1% Luhya (Henn) + 49.9% German (Dodecad) @ 6.02
15 51.7% German (Dodecad) + 48.3% Nguni (Xing) @ 6.11
16 54.4% Slovenian (Xing) + 45.6% Bamoun (Henn) @ 6.19
17 54.1% Slovenian (Xing) + 45.9% Kongo (Henn) @ 6.27
18 54.2% Slovenian (Xing) + 45.8% Fang (Henn) @ 6.49
19 54.7% Slovenian (Xing) + 45.3% Igbo (Henn) @ 6.55
20 51.3% German (Dodecad) + 48.7% Pedi (Xing) @ 6.63

Least-squares method.

Using 1 population approximation:
1 ASW @ 30.415022
2 Siddi @ 34.952751
3 Fulani @ 37.227928
4 Slovenian @ 38.776138
5 Hungarians @ 39.839142
6 Morocco_S @ 41.731209
7 Hema @ 41.987213
8 Balkans @ 42.701515
9 German @ 43.213871
10 Romanians_14 @ 43.611523
11 Luhya @ 43.704021
12 Alur @ 43.777393
13 Luhya @ 44.062767
14 N._European @ 44.197384
15 Mada @ 44.423813
16 SANDAWE @ 44.570488
17 LWK @ 44.610046
18 Pedi @ 44.699299
19 CEU @ 44.894501
20 Algeria @ 44.969509

Using 2 populations approximation:
1 50% German +50% Kongo @ 4.809171


Using 3 populations approximation:
1 50% Bamoun +25% Kent +25% Polish @ 3.184561


Using 4 populations approximation:
1 ASW + British_Isles + Bamoun + Mixed_Slav @ 2.133616
2 ASW + British + Bamoun + Russian @ 2.148533
3 ASW + British_Isles + Mixed_Slav + Kongo @ 2.148944
4 ASW + British + Russian + Kongo @ 2.154837
5 ASW + British_Isles + Mixed_Slav + Fang @ 2.157249
6 ASW + British + Russian + Fang @ 2.164502
7 Irish + Polish + Hausa + Pedi @ 2.168456
8 ASW + Cornwall + Bamoun + Russian @ 2.173123
9 ASW + British + Mixed_Slav + Kongo @ 2.178689
10 ASW + British + Bamoun + Mixed_Slav @ 2.179919
11 ASW + Cornwall + Russian + Kongo @ 2.184102
12 ASW + British + Mixed_Slav + Fang @ 2.195659
13 ASW + Cornwall + Russian + Fang @ 2.196330
14 Irish + Polish + Brong + Pedi @ 2.219694
15 Irish + Polish + Bambaran + Pedi @ 2.227843
16 ASW + British_Isles + Bamoun + Russian @ 2.244191
17 Irish + Polish + Hausa + Nguni @ 2.248447
18 ASW + British_Isles + Russian + Kongo @ 2.254548
19 ASW + British_Isles + Russian + Fang @ 2.266671
20 ASW + Bamoun + Kent + Russian @ 2.275489

surbakhunWeesste
04-26-2015, 10:05 PM
According to Rukha :
7/8 Ghilzai Pashtun, 1/8 Hazara)

# Population Percent
1 West_Asian 27.22
2 South_Asian 26.07
3 West_European 13.13
4 Mediterranean 10.08
5 Northeast_Asian 7.38
6 East_European 6.96
7 Southeast_Asian 4.89
8 Southwest_Asian 4.21
9 Neo_African 0.06

Single Population Sharing:

# Population (source) Distance
1 Pathan (HGDP) 13.61
2 Balochi (HGDP) 13.69
3 Brahui (HGDP) 14.57
4 Makrani (HGDP) 15.15
5 Burusho (HGDP) 15.88
6 Kashmiri_Pandit (Reich) 17.84
7 Bnei_Menashe_Jews (Behar) 18.92
8 Pakistani (Xing) 19.65
9 Sindhi (HGDP) 20.74
10 Kalash (HGDP) 23.09
11 Stalskoe (Xing) 24.37
12 Kurd (Dodecad) 25.21
13 Nepalese (Xing) 25.68
14 Kurd (Xing) 26.89
15 Iranians (Behar) 27.15
16 Iranian (Dodecad) 27.54
17 Uzbeks (Behar) 27.81
18 Cochin_Jews (Behar) 28.04
19 Urkarah (Xing) 28.18
20 Uzbekistan_Jews (Behar) 28.75

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 61.2% Burusho (HGDP) + 38.8% Stalskoe (Xing) @ 4.71
2 66.9% Stalskoe (Xing) + 33.1% AP_Madiga (Xing) @ 4.93
3 66.2% Stalskoe (Xing) + 33.8% Kurumba (Reich) @ 5.06
4 68% Stalskoe (Xing) + 32% TN_Dalit (Xing) @ 5.08
5 64% Stalskoe (Xing) + 36% Hallaki (Reich) @ 5.14
6 54.9% Stalskoe (Xing) + 45.1% Meghawal (Reich) @ 5.17
7 67.5% Stalskoe (Xing) + 32.5% Mala (Reich) @ 5.17
8 58% Stalskoe (Xing) + 42% Srivastava (Reich) @ 5.27
9 66% Stalskoe (Xing) + 34% Bhil (Reich) @ 5.3
10 66% Stalskoe (Xing) + 34% Vysya (Reich) @ 5.33
11 57.6% Stalskoe (Xing) + 42.4% TN_Brahmin (Xing) @ 5.35
12 66.8% Stalskoe (Xing) + 33.2% Madiga (Reich) @ 5.44
13 60.6% Stalskoe (Xing) + 39.4% Tharu (Reich) @ 5.47
14 61.2% Stalskoe (Xing) + 38.8% Velama (Reich) @ 5.48
15 62.9% Stalskoe (Xing) + 37.1% INS (SGVP) @ 5.56
16 58.2% Stalskoe (Xing) + 41.8% AP_Brahmin (Xing) @ 5.56
17 65.8% Stalskoe (Xing) + 34.2% Kamsali (Reich) @ 5.56
18 70.7% Stalskoe (Xing) + 29.3% North_Kannadi (Behar) @ 5.59
19 53.7% Stalskoe (Xing) + 46.3% Cochin_Jews (Behar) @ 5.59
20 58.3% Kashmiri_Pandit (Reich) + 41.7% Stalskoe (Xing) @ 5.6

basmaci
04-30-2015, 06:14 PM
this calc. is realy BS, no wonder , "made by dienekes" :puke:
# Population Percent
1 West_Asian 29.03
2 Mediterranean 23.86
3 West_European 15.23
4 Southwest_Asian 9.37
5 Southeast_Asian 6.05
6 East_European 5.92
7 Northeast_Asian 5.36
8 South_Asian 5.16

Single Population Sharing:

# Population (source) Distance
1 Ashkenazy_Jews (Behar) 14.11
2 Turkish (Dodecad) 14.39
3 Stalskoe (Xing) 14.41
4 Ashkenazi (Dodecad) 14.75
5 Uzbekistan_Jews (Behar) 15.76
6 Kurd (Dodecad) 16.96
7 Kurd (Xing) 17.2
8 Turks (Behar) 17.43
9 Morocco_Jews (Behar) 17.86
10 Georgia_Jews (Behar) 19.33
11 Azerbaijan_Jews (Behar) 19.95
12 Iranian_Jews (Behar) 20.76
13 Lebanese (Behar) 21.29
14 Greek (Dodecad) 21.8
15 S_Italian_Sicilian (Dodecad) 21.83
16 Tuscan (Xing) 21.91
17 Druze (HGDP) 22.19
18 Iranians (Behar) 22.2
19 Iraq_Jews (Behar) 22.31
20 Palestinian (HGDP) 22.31

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 68.1% Ashkenazi (Dodecad) + 31.9% Uzbeks (Behar) @ 5.11
2 69.4% Ashkenazy_Jews (Behar) + 30.6% Uzbeks (Behar) @ 5.55
3 74.6% Ashkenazi (Dodecad) + 25.4% Uygur (HGDP) @ 6.91
4 72.9% Ashkenazi (Dodecad) + 27.1% Hazara (HGDP) @ 7
5 64% Morocco_Jews (Behar) + 36% Uzbeks (Behar) @ 7.09
6 63.4% Stalskoe (Xing) + 36.6% Sephardic_Jews (Behar) @ 7.09
7 74.1% Ashkenazy_Jews (Behar) + 25.9% Hazara (HGDP) @ 7.11
8 75.8% Ashkenazy_Jews (Behar) + 24.2% Uygur (HGDP) @ 7.11
9 58.6% S_Italian_Sicilian (Dodecad) + 41.4% Uzbeks (Behar) @ 7.18
10 57.1% Stalskoe (Xing) + 42.9% Morocco_Jews (Behar) @ 7.93
11 65% Stalskoe (Xing) + 35% Sicilian (Dodecad) @ 8.04
12 50.8% Stalskoe (Xing) + 49.2% Ashkenazi (Dodecad) @ 8.12
13 56.6% S_Italian (Dodecad) + 43.4% Uzbeks (Behar) @ 8.16
14 50.8% Ashkenazy_Jews (Behar) + 49.2% Stalskoe (Xing) @ 8.19
15 81.4% Turkish (Dodecad) + 18.6% FIN (1000Genomes) @ 8.23
16 63.2% Stalskoe (Xing) + 36.8% S_Italian_Sicilian (Dodecad) @ 8.31
17 57.2% C_Italian (Dodecad) + 42.8% Uzbeks (Behar) @ 8.45
18 81.8% Turkish (Dodecad) + 18.2% Swedish (Dodecad) @ 8.49
19 82.2% Turkish (Dodecad) + 17.8% Norwegian (Dodecad) @ 8.5
20 77.7% Turkish (Dodecad) + 22.3% N._European (Xing) @ 8.51

Mellow
04-30-2015, 07:02 PM
# Population Percent
1 Mediterranean 36.02
2 West_European 23
3 West_Asian 21.35
4 East_European 11.64
5 Southwest_Asian 7.03
6 Northwest_African 0.68
7 Southeast_Asian 0.28

# Population (source) Distance
1 Tuscan (Xing) 9.05
2 Ashkenazy_Jews (Behar) 9.29
3 Tuscan (Henn) 9.95
4 O_Italian (Dodecad) 10.09
5 TSI (HapMap) 10.13
6 Ashkenazi (Dodecad) 10.3
7 C_Italian (Dodecad) 10.95
8 Greek (Dodecad) 11.89
9 Romanians_14 (Behar) 12.49
10 S_Italian_Sicilian (Dodecad) 13.8
11 Tuscan (HGDP) 13.83
12 Sicilian (Dodecad) 15.09
13 N_Italian (Dodecad) 15.81
14 Morocco_Jews (Behar) 16.29
15 S_Italian (Dodecad) 16.55
16 Balkans (Dodecad) 17.75
17 Sephardic_Jews (Behar) 18.82
18 North_Italian (HGDP) 19.52
19 Slovenian (Xing) 23.98
20 Hungarians (Behar) 24.23

paulgill
04-30-2015, 07:51 PM
Dodecad V3 Oracle results:

Admix Results (sorted):

# Population Percent
1 South_Asian 41.34
2 West_Asian 23.11
3 West_European 15.2
4 Mediterranean 7.15
5 East_European 4.86
6 Northeast_Asian 3.45
7 Southwest_Asian 2.79
8 Southeast_Asian 2.09

Single Population Sharing:

# Population (source) Distance
1 Pathan (HGDP) 4.44
2 Pakistani (Xing) 6.35
3 Sindhi (HGDP) 7.65
4 Burusho (HGDP) 7.67
5 Kashmiri_Pandit (Reich) 8.11
6 Bnei_Menashe_Jews (Behar) 13.45
7 Balochi (HGDP) 14.57
8 Vaish (Reich) 15.24
9 Brahui (HGDP) 15.78
10 Meghawal (Reich) 15.96
11 Cochin_Jews (Behar) 16.19
12 Kalash (HGDP) 19.13
13 TN_Brahmin (Xing) 19.16
14 Makrani (HGDP) 19.26
15 AP_Brahmin (Xing) 19.86
16 Srivastava (Reich) 20.5
17 Indian (Dodecad) 21.86
18 Velama (Reich) 24.85
19 Nepalese (Xing) 24.89
20 Tharu (Reich) 24.94

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 63.4% Indian (Dodecad) + 36.6% Stalskoe (Xing) @ 2.76
2 56.5% GIH (HapMap) + 43.5% Stalskoe (Xing) @ 2.95
3 91.9% Pakistani (Xing) + 8.1% Irish (Dodecad) @ 3.08
4 91.8% Pakistani (Xing) + 8.2% Cornwall (1000 Genomes) @ 3.1
5 91.8% Pakistani (Xing) + 8.2% British (Dodecad) @ 3.17
6 91.9% Pakistani (Xing) + 8.1% British_Isles (Dodecad) @ 3.19
7 91.8% Pakistani (Xing) + 8.2% Kent (1000 Genomes) @ 3.21
8 91.4% Pakistani (Xing) + 8.6% Mixed_Germanic (Dodecad) @ 3.23
9 91.6% Pakistani (Xing) + 8.4% Dutch (Dodecad) @ 3.27
10 64.8% Indian (Dodecad) + 35.2% Urkarah (Xing) @ 3.36
11 92.2% Pakistani (Xing) + 7.8% Norwegian (Dodecad) @ 3.4
12 84.1% Pathan (HGDP) + 15.9% Vaish (Reich) @ 3.44
13 92.2% Pakistani (Xing) + 7.8% Swedish (Dodecad) @ 3.56
14 89.1% Pathan (HGDP) + 10.9% Indian (Dodecad) @ 3.58
15 88.2% Pathan (HGDP) + 11.8% AP_Brahmin (Xing) @ 3.6
16 67% AP_Brahmin (Xing) + 33% Urkarah (Xing) @ 3.6
17 93.1% Pathan (HGDP) + 6.9% Madiga (Reich) @ 3.62
18 91.4% Pakistani (Xing) + 8.6% N._European (Xing) @ 3.66
19 91.5% Pakistani (Xing) + 8.5% Argyll (1000 Genomes) @ 3.67
20 86.1% Pathan (HGDP) + 13.9% Meghawal (Reich) @ 3.67

Varun R
04-30-2015, 08:58 PM
Population
East_European 5.15%
West_European 10.23%
Mediterranean 6.61%
Neo_African -
West_Asian 14.98%
South_Asian 54.52%
Northeast_Asian 1.75%
Southeast_Asian 4.90%
East_African -
Southwest_Asian 1.62%
Northwest_African -
Palaeo_African 0.24%

# Primary Population (source) Secondary Population (source) Distance
1 91.9% AP_Brahmin (Xing) + 8.1% Urkarah (Xing) @ 2.08
2 64.4% North_Kannadi (Behar) + 35.6% Stalskoe (Xing) @ 2.12
3 78.3% AP_Brahmin (Xing) + 21.7% Pathan (HGDP) @ 2.13
4 82.1% INS (SGVP) + 17.9% Urkarah (Xing) @ 2.16
5 86.5% Velama (Reich) + 13.5% Swedish (Dodecad) @ 2.18
6 81.5% INS (SGVP) + 18.5% Stalskoe (Xing) @ 2.18
7 87.9% Indian (Dodecad) + 12.1% Stalskoe (Xing) @ 2.21
8 69.6% AP_Brahmin (Xing) + 30.4% Pakistani (Xing) @ 2.21
9 94.1% TN_Brahmin (Xing) + 5.9% Mixed_Germanic (Dodecad) @ 2.3
10 85.5% Velama (Reich) + 14.5% Argyll (1000 Genomes) @ 2.31

MonkeyDLuffy
04-30-2015, 11:51 PM
Punjabi tarkhan/ ramgarhia

Admix Results (sorted):

# Population Percent
1 South_Asian 44.91
2 West_Asian 20.59
3 West_European 11.74
4 East_European 9.31
5 Mediterranean 5.27
6 Southeast_Asian 3.72
7 Northeast_Asian 3.18
8 Southwest_Asian 1.27


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Pakistani @ 4.420287
2 Kashmiri_Pandit @ 5.212373
3 Sindhi @ 6.617471
4 Burusho @ 6.877245
5 Pathan @ 8.818439
6 Vaish @ 11.835471
7 Meghawal @ 12.516036
8 Cochin_Jews @ 14.079299
9 Bnei_Menashe_Jews @ 15.902031
10 TN_Brahmin @ 16.116362
11 Srivastava @ 16.445307
12 AP_Brahmin @ 17.040056
13 Indian @ 19.348154
14 Balochi @ 19.925005
15 Brahui @ 21.404869
16 Tharu @ 22.222437
17 Nepalese @ 22.419756
18 Velama @ 22.598793
19 Lodi @ 24.352613
20 Kalash @ 24.414684

Using 2 populations approximation:
1 50% Pathan +50% Vaish @ 3.661102


Using 3 populations approximation:
1 50% Pathan +25% Kashmiri_Pandit +25% Srivastava @ 3.075985


Using 4 populations approximation:
1 Indian + Urkarah + Srivastava + Srivastava @ 2.659027
2 Pathan + Kashmiri_Pandit + Kashmiri_Pandit + Vaish @ 2.821043
3 Pathan + Pakistani + Kashmiri_Pandit + Vaish @ 2.887005
4 Burusho + Pathan + Pakistani + Vaish @ 2.889703
5 Burusho + Pathan + Kashmiri_Pandit + Vaish @ 2.932029
6 Indian + Urkarah + Meghawal + Srivastava @ 2.956814
7 TN_Brahmin + Urkarah + Srivastava + Srivastava @ 2.960486
8 GIH + Urkarah + Srivastava + Vaish @ 2.990501
9 Burusho + Pakistani + Kashmiri_Pandit + Vaish @ 2.996513
10 Indian + Urkarah + Srivastava + Vaish @ 3.008258
11 AP_Brahmin + Urkarah + Srivastava + Srivastava @ 3.015615
12 Pathan + Pathan + Kashmiri_Pandit + Srivastava @ 3.075985
13 Burusho + Pathan + Pathan + Srivastava @ 3.100667
14 Indian + TN_Brahmin + Urkarah + Srivastava @ 3.107482
15 INS + Urkarah + Srivastava + Vaish @ 3.121953
16 Urkarah + Srivastava + Srivastava + Srivastava @ 3.130990
17 Burusho + Pathan + Pakistani + Srivastava @ 3.160833
18 Urkarah + Meghawal + Srivastava + Srivastava @ 3.162200
19 Indian + AP_Brahmin + Urkarah + Srivastava @ 3.187290
20 Pathan + Pathan + Pakistani + Srivastava @ 3.197789

Sapporo
05-01-2015, 12:57 AM
@paul and MonkeyDLuffy

See my results here:

http://www.anthrogenica.com/showthread.php?929-Post-Your-Dodecad-V3-Results&p=14009&viewfull=1#post14009

Pretty similar to both of you.

MonkeyDLuffy
05-01-2015, 08:12 AM
@paul and MonkeyDLuffy

See my results here:

http://www.anthrogenica.com/showthread.php?929-Post-Your-Dodecad-V3-Results&p=14009&viewfull=1#post14009

Pretty similar to both of you.

Makes sense, we punjabis score similar, you're kind of an intermediate between me and paul, but you and I score highest east european always.


Whos the pakistani guy in oracle?

kenji.aryan
05-01-2015, 05:49 PM
Nepali Brahmin's


1
1 South_Asian 44.03
2 West_European 16.16
3 West_Asian 15.66
4 Southeast_Asian 6.96
5 Mediterranean 5.91
6 East_European 5.82
7 Northeast_Asian 4.08
8 Southwest_Asian 1.38


2.
1 South_Asian 44.09
2 West_European 16.16
3 West_Asian 16.15
4 Southeast_Asian 6.29
5 Mediterranean 6.27
6 East_European 5.9
7 Northeast_Asian 4.06
8 Neo_African 0.88
9 Palaeo_African 0.15
10 East_African 0.04
11 Southwest_Asian 0.02



Kashmiri pandit (Bhan)

1 South_Asian 42.67
2 West_Asian 21.63
3 West_European 10.57
4 East_European 6.59
5 Mediterranean 6.3
6 Southeast_Asian 6.18
7 Northeast_Asian 2.95
8 Southwest_Asian 2.93
9 Palaeo_African 0.19


Pathan

# Population Percent
1 South_Asian 39.93
2 West_Asian 20.12
3 West_European 8.63
4 East_European 8.3
5 Southeast_Asian 7.7
6 Mediterranean 6.38
7 Northeast_Asian 4.47
8 Southwest_Asian 4.18
9 East_African 0.2
10 Palaeo_African 0.1




Khan

1 South_Asian 44.94
2 West_Asian 24.05
3 West_European 10.36
4 Mediterranean 7.29
5 East_European 6.65
6 Southwest_Asian 2.31
7 Southeast_Asian 2.19
8 Northeast_Asian 1.86
9 East_African 0.35

Sapporo
05-01-2015, 06:03 PM
Makes sense, we punjabis score similar, you're kind of an intermediate between me and paul, but you and I score highest east european always.


Whos the pakistani guy in oracle?

It is not an individual. I believe they are the Xing Pakistani Punjabi Arain samples. Should be 25 of them.

parasar
06-04-2015, 10:00 PM
I notice NE Europeans score very high Paleo-African overlaps on dv3.

Many South Asians on the other hand are low on African overall, for example for my dv3:

Population

East_European 6.90%
West_European 12.97%
Mediterranean 3.30%

Neo_African -
East_African -
Northwest_African -
Palaeo_African -

West_Asian 13.07%
South_Asian 57.22%

Northeast_Asian 1.62%
Southeast_Asian 2.76%

Southwest_Asian 2.17%

Genetiker recently ran number of populations on dv3 and a similar trend is seen.
https://genetiker.wordpress.com/2015/05/25/dv3-analysis-of-prehistoric-and-modern-genomes/
https://genetiker.files.wordpress.com/2015/05/dv3.png

BalkanKiwi
06-04-2015, 10:45 PM
Since this thread has reappeared I might as well post my 23andMe data results.

Admix Results (sorted):

# Population Percent
1 West_European 46.96
2 Mediterranean 26.32
3 East_European 13.02
4 West_Asian 9.91
5 Southwest_Asian 1.98
6 South_Asian 1.81

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 7.05
2 N._European (Xing) 7.83
3 German (Dodecad) 8
4 Argyll (1000 Genomes) 8.62
5 Orcadian (HGDP) 9.13
6 Orkney (1000 Genomes) 9.46
7 Slovenian (Xing) 10.99
8 French (HGDP) 12.01
9 French (Dodecad) 12.09
10 Mixed_Germanic (Dodecad) 14.16
11 Hungarians (Behar) 15.24
12 Dutch (Dodecad) 15.49
13 Kent (1000 Genomes) 17.68
14 British_Isles (Dodecad) 19.46
15 British (Dodecad) 19.59
16 Cornwall (1000 Genomes) 20.12
17 Swedish (Dodecad) 21.25
18 Tuscan (Henn) 21.6
19 TSI (HapMap) 21.73
20 Tuscan (Xing) 21.76

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 61.4% Dutch (Dodecad) + 38.6% Balkans (Dodecad) @ 1.46
2 55% Cornwall (1000 Genomes) + 45% Balkans (Dodecad) @ 1.59
3 76.8% N._European (Xing) + 23.2% Romanians_14 (Behar) @ 1.67
4 55.7% British (Dodecad) + 44.3% Balkans (Dodecad) @ 1.69
5 73.5% German (Dodecad) + 26.5% TSI (HapMap) @ 1.77
6 58.2% Kent (1000 Genomes) + 41.8% Balkans (Dodecad) @ 1.81
7 53.2% Irish (Dodecad) + 46.8% Romanians_14 (Behar) @ 1.83
8 77.5% German (Dodecad) + 22.5% O_Italian (Dodecad) @ 1.85
9 73.6% German (Dodecad) + 26.4% Tuscan (Xing) @ 1.85
10 56.7% British_Isles (Dodecad) + 43.3% Romanians_14 (Behar) @ 1.89

Least-squares method.

Using 1 population approximation:
1 CEU @ 7.874649
2 N._European @ 8.717148
3 German @ 8.908086
4 Argyll @ 9.612441
5 Orcadian @ 10.196606

Using 2 populations approximation:
1 50% Balkans +50% Irish @ 2.530980

Using 3 populations approximation:
1 50% Kent +25% Romanians_14 +25% Slovenian @ 1.600950

Using 4 populations approximation:
1 British + Dutch + Romanians_14 + Slovenian @ 1.370353
2 Cornwall + Dutch + Romanians_14 + Slovenian @ 1.459606
3 Dutch + Kent + Romanians_14 + Slovenian @ 1.463729
4 British_Isles + Dutch + Romanians_14 + Slovenian @ 1.501897
5 Hungarians + Norwegian + O_Italian + Argyll @ 1.571136
6 Kent + Kent + Romanians_14 + Slovenian @ 1.600950
7 Orkney + Romanians_14 + N._European + N._European @ 1.607596
8 Dutch + Dutch + Romanians_14 + Slovenian @ 1.609210
9 CEU + Mixed_Germanic + Romanians_14 + N._European @ 1.612139
10 British + Cornwall + Hungarians + Romanians_14 @ 1.617181
11 Orcadian + Romanians_14 + N._European + N._European @ 1.622787
12 Cornwall + Cornwall + Hungarians + Romanians_14 @ 1.624760
13 Cornwall + Kent + Mixed_Slav + O_Italian @ 1.628380
14 C_Italian + Cornwall + Irish + Polish @ 1.634482
15 British + C_Italian + Irish + Polish @ 1.642048
16 Cornwall + Hungarians + Kent + Romanians_14 @ 1.642381
17 Swedish + Tuscan + Argyll + Slovenian @ 1.649300
18 C_Italian + Irish + Kent + Polish @ 1.654724
19 Cornwall + Dutch + Hungarians + Romanians_14 @ 1.669292
20 CEU + Dutch + Romanians_14 + N._European @ 1.678481

fil
06-04-2015, 11:50 PM
Population
East_European 4.51%
West_European 2.86%
Mediterranean 7.55%
Neo_African 0.37%
West_Asian 17.39%
South_Asian 54.20%
Northeast_Asian 2.07%
Southeast_Asian 6.52%
East_African -
Southwest_Asian 4.13%
Northwest_African 0.40%
Palaeo_African -

Single Population Sharing:

# Population (source) Distance
1 Cochin_Jews (Behar) 4.63
2 TN_Brahmin (Xing) 6.9
3 Meghawal (Reich) 7
4 AP_Brahmin (Xing) 8.36
5 Velama (Reich) 8.84
6 Srivastava (Reich) 9.01
7 Vaish (Reich) 10.55
8 Indian (Dodecad) 11.02
9 Sindhi (HGDP) 12
10 Tharu (Reich) 12.18
11 Pakistani (Xing) 12.34
12 INS (SGVP) 12.94
13 Kashmiri_Pandit (Reich) 13.42
14 Lodi (Reich) 13.51
15 Hallaki (Reich) 14.72
16 Bnei_Menashe_Jews (Behar) 15.1
17 Naidu (Reich) 15.16
18 Burusho (HGDP) 16
19 GIH (HapMap) 16.62
20 Vysya (Reich) 17.71

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 74.2% Vysya (Reich) + 25.8% Iranian (Dodecad) @ 1.88
2 77.6% Hallaki (Reich) + 22.4% Iranian (Dodecad) @ 1.9
3 69% TN_Dalit (Xing) + 31% Iranian (Dodecad) @ 2.08
4 73.5% Vysya (Reich) + 26.5% Kurd (Dodecad) @ 2.21
5 82.8% Hallaki (Reich) + 17.2% Georgians (Behar) @ 2.21
6 86.7% Velama (Reich) + 13.3% Turkish (Dodecad) @ 2.22
7 81.2% Hallaki (Reich) + 18.8% Armenians_16 (Behar) @ 2.28
8 76% Vysya (Reich) + 24% Turks (Behar) @ 2.36
9 63% Hallaki (Reich) + 37% Balochi (HGDP) @ 2.38
10 56% Kurumba (Reich) + 44% Balochi (HGDP) @ 2.41
11 58.5% Vysya (Reich) + 41.5% Balochi (HGDP) @ 2.41
12 52.6% Mala (Reich) + 47.4% Balochi (HGDP) @ 2.41
13 64% Hallaki (Reich) + 36% Brahui (HGDP) @ 2.43
14 53.7% Mala (Reich) + 46.3% Brahui (HGDP) @ 2.43
15 78.5% Bhil (Reich) + 21.5% Georgians (Behar) @ 2.46
16 57.1% Kurumba (Reich) + 42.9% Brahui (HGDP) @ 2.46
17 82.4% Naidu (Reich) + 17.6% Georgians (Behar) @ 2.47
18 63.7% Velama (Reich) + 36.3% Bnei_Menashe_Jews (Behar) @ 2.53
19 86.8% Velama (Reich) + 13.2% Turks (Behar) @ 2.54
20 57.8% Kamsali (Reich) + 42.2% Balochi (HGDP) @ 2.55

Least-squares method.

Using 1 population approximation:
1 Cochin_Jews @ 5.155724
2 TN_Brahmin @ 7.609082
3 Meghawal @ 7.717153
4 AP_Brahmin @ 9.338551
5 Velama @ 9.667287
6 Srivastava @ 10.016897
7 Vaish @ 11.779643
8 Indian @ 12.047786
9 Sindhi @ 12.842216
10 Tharu @ 13.366828
11 Pakistani @ 13.445129
12 INS @ 14.340172
13 Kashmiri_Pandit @ 14.811628
14 Lodi @ 15.028790
15 Hallaki @ 16.361946
16 Bnei_Menashe_Jews @ 16.500532
17 Vysya @ 16.737223
18 Naidu @ 16.870928
19 Burusho @ 17.518312
20 GIH @ 18.152607

Using 2 populations approximation:
1 50% Balochi +50% Mala @ 2.827958


Using 3 populations approximation:
1 50% INS +25% Iranian +25% TN_Dalit @ 2.328097


Using 4 populations approximation:
1 Iranian + North_Kannadi + TN_Brahmin + Kurumba @ 1.503657
2 INS + Iranian + TN_Dalit + Vysya @ 1.575095
3 Iranian + TN_Dalit + Bhil + Velama @ 1.580688
4 GIH + Iranian + Kurumba + Vysya @ 1.586103
5 Iranian + AP_Madiga + TN_Dalit + Velama @ 1.606266
6 Iranian + TN_Dalit + Chenchu + Velama @ 1.634084
7 INS + Iranian + TN_Dalit + Hallaki @ 1.711182
8 Bnei_Menashe_Jews + Kashmiri_Pandit + Velama + Vysya @ 1.716818
9 GIH + Iranian + AP_Madiga + Vysya @ 1.719931
10 Iranian + TN_Dalit + Hallaki + Vysya @ 1.740606
11 GIH + Iranian + Kurumba + Kurumba @ 1.773567
12 Iranian + TN_Dalit + Mala + Velama @ 1.777214
13 Iranian + TN_Dalit + Hallaki + Hallaki @ 1.780297
14 GIH + Iranian + Mala + Vysya @ 1.786216
15 Iranian + North_Kannadi + Srivastava + Vysya @ 1.796339
16 INS + Iranian + Mala + Vysya @ 1.805661
17 Iranian + TN_Dalit + TN_Dalit + Srivastava @ 1.815634
18 Iranian + TN_Dalit + Kurumba + Velama @ 1.821594
19 Iranian + North_Kannadi + Hallaki + Velama @ 1.832263
20 GIH + Iranian + Hallaki + Kurumba @ 1.836651

The Barnacle
06-05-2015, 10:07 AM
Afghan Pashtun


# Population Percent
1 West_Asian 33.38
2 South_Asian 24.64
3 West_European 12.15
4 Mediterranean 10.23
5 East_European 9.08
6 Southwest_Asian 4.07
7 Northeast_Asian 3.35
8 Southeast_Asian 2.02
9 East_African 0.49
10 Neo_African 0.35
11 Palaeo_African 0.24

Single Population Sharing:

# Population (source) Distance
1 Balochi (HGDP) 11.02
2 Makrani (HGDP) 11.25
3 Brahui (HGDP) 11.39
4 Pathan (HGDP) 15.22
5 Burusho (HGDP) 19.72
6 Kalash (HGDP) 19.97
7 Kashmiri_Pandit (Reich) 20.04
8 Kurd (Dodecad) 20.87
9 Bnei_Menashe_Jews (Behar) 21.23
10 Stalskoe (Xing) 21.59
11 Pakistani (Xing) 21.71
12 Iranian (Dodecad) 22.41
13 Sindhi (HGDP) 22.51
14 Iranians (Behar) 22.6
15 Kurd (Xing) 22.69
16 Urkarah (Xing) 23.4
17 Uzbekistan_Jews (Behar) 25.43
18 Turks (Behar) 27.46
19 Turkish (Dodecad) 27.92
20 Azerbaijan_Jews (Behar) 30.11

Mixed Mode Population Sharing:

randwulf
06-06-2015, 02:59 AM
I had posted my results a few months ago before I got several of my family member's results. It turns out that this calculator produces results consistent with most of the others for us: We all have typical European results for the most part and I am the most "Mediterranean", my father has the most total "Asian" minority components, my wife has the most "Southwest Asian" minority components, my father-in-law is both the most "Northern European" and has the most "African" minority components, and my mother has the most typical European components without much hint of unusual "USA" twists in minority components. Does this calculator maybe stuff the "Oceanian" results into "South Asian"?

Me:

1 West_European 49.19
2 Mediterranean 28.85
3 East_European 9.24
4 West_Asian 8.35
5 Southwest_Asian 2.36
6 Northwest_African 0.97
7 Northeast_Asian 0.63
8 South_Asian 0.26
9 Palaeo_African 0.14

Dad:

1 West_European 47.54
2 Mediterranean 27.86
3 East_European 9.81
4 West_Asian 9.71
5 Southwest_Asian 1.77
6 Northeast_Asian 1.56
7 Northwest_African 0.86
8 South_Asian 0.62
9 Palaeo_African 0.17
10 Southeast_Asian 0.04
11 Neo_African 0.04

Mom:

1 West_European 50.36
2 Mediterranean 28.15
3 East_European 11.12
4 West_Asian 9.18
5 Northwest_African 1.11
6 South_Asian 0.08
7 Southwest_Asian 0.01

Wife:

1 West_European 50.32
2 Mediterranean 25.79
3 East_European 10.63
4 West_Asian 8.67
5 Southwest_Asian 2.89
6 Northwest_African 0.94
7 Northeast_Asian 0.53
8 Neo_African 0.22

Father-in-law:

1 West_European 51.96
2 Mediterranean 24.79
3 East_European 11.23
4 West_Asian 7.84
5 Northwest_African 1.55
6 Southwest_Asian 1.3
7 Northeast_Asian 0.58
8 Neo_African 0.51
9 Palaeo_African 0.24

Gray Fox
07-14-2015, 04:24 AM
Admix Results (sorted):


# Population Percent
1 West_European 52.39
2 Mediterranean 25.83
3 East_European 10.48
4 West_Asian 8.1
5 Southwest_Asian 1.32
6 South_Asian 1.22
7 Palaeo_African 0.36
8 Neo_African 0.3

Oracle 4:


Least-squares method.

Using 1 population approximation:
1 CEU @ 2.108189
2 N._European @ 3.760946
3 Argyll @ 4.313212
4 Orcadian @ 4.348445
5 Orkney @ 4.699151
6 German @ 7.669798
7 Mixed_Germanic @ 10.038339
8 French @ 10.494531
9 French @ 10.880107
10 Dutch @ 11.125261
11 Kent @ 13.528136
12 British_Isles @ 15.500381
13 British @ 15.637527
14 Cornwall @ 16.279219
15 Slovenian @ 17.535900
16 Irish @ 18.777277
17 Swedish @ 18.925110
18 Norwegian @ 19.851757
19 Hungarians @ 22.176821
20 French_Basque @ 23.235918


Least-squares method.

Using 1 population approximation:
1 CEU @ 2.108189
2 N._European @ 3.760946
3 Argyll @ 4.313212
4 Orcadian @ 4.348445
5 Orkney @ 4.699151
6 German @ 7.669798
7 Mixed_Germanic @ 10.038339
8 French @ 10.494531
9 French @ 10.880107
10 Dutch @ 11.125261
11 Kent @ 13.528136
12 British_Isles @ 15.500381
13 British @ 15.637527
14 Cornwall @ 16.279219
15 Slovenian @ 17.535900
16 Irish @ 18.777277
17 Swedish @ 18.925110
18 Norwegian @ 19.851757
19 Hungarians @ 22.176821
20 French_Basque @ 23.235918

Using 2 populations approximation:
1 50% CEU +50% CEU @ 2.108189


Using 3 populations approximation:
1 50% British_Isles +25% Orkney +25% Romanians_14 @ 1.296495


Using 4 populations approximation:
1 Dutch + French + Argyll + Slovenian @ 0.837361
2 Dutch + French + Orkney + Slovenian @ 0.952786
3 French + Kent + Argyll + Slovenian @ 1.005613
4 French + Kent + N._European + Slovenian @ 1.024857
5 French + Mixed_Germanic + Orkney + Slovenian @ 1.042179
6 Dutch + French + Orcadian + Slovenian @ 1.047124
7 Dutch + French + N._European + Slovenian @ 1.081809
8 Dutch + French + Argyll + Slovenian @ 1.085328
9 N_Italian + Swedish + Argyll + N._European @ 1.104043
10 French + Kent + Argyll + Slovenian @ 1.111276
11 Balkans + British + British + CEU @ 1.126064
12 Cornwall + French + Hungarians + N._European @ 1.127316
13 N_Italian + Swedish + Argyll + Argyll @ 1.130005
14 Dutch + French + Hungarians + Mixed_Germanic @ 1.142194
15 Balkans + British + CEU + Cornwall @ 1.146934
16 French + Kent + N._European + Slovenian @ 1.147534
17 Dutch + French + Hungarians + Mixed_Germanic @ 1.160283
18 French + Mixed_Germanic + Orcadian + Slovenian @ 1.180625
19 French + Hungarians + Mixed_Germanic + Mixed_Germanic @ 1.187564
20 Balkans + CEU + Cornwall + Cornwall @ 1.188595

23andMe data for comparison.. I quite like this calculator as it generally adds up to what I am seeing on paper.

Admix Results (sorted):

# Population Percent
1 West_European 52.34
2 Mediterranean 25.78
3 East_European 10.94
4 West_Asian 7.98
5 Southwest_Asian 1.47
6 South_Asian 1.17
7 Neo_African 0.21
8 Northwest_African 0.12


Least-squares method.

Using 1 population approximation:
1 CEU @ 2.003326
2 N._European @ 3.662174
3 Argyll @ 4.243006
4 Orcadian @ 4.318700
5 Orkney @ 4.677088
6 German @ 7.212108
7 Mixed_Germanic @ 10.289433
8 French @ 10.796933
9 French @ 11.104317
10 Dutch @ 11.395184
11 Kent @ 13.794728
12 British_Isles @ 15.738079
13 British @ 15.898305
14 Cornwall @ 16.555975
15 Slovenian @ 17.176186
16 Swedish @ 18.840292
17 Irish @ 19.005358
18 Norwegian @ 19.857323
19 Hungarians @ 21.801611
20 French_Basque @ 23.442968

Using 2 populations approximation:
1 50% CEU +50% CEU @ 2.003326


Using 3 populations approximation:
1 50% French +25% Swedish +25% Slovenian @ 1.332697


Using 4 populations approximation:
1 Dutch + French + Argyll + Slovenian @ 0.812378
2 Dutch + French + Argyll + Slovenian @ 0.891158
3 Cornwall + French + Hungarians + N._European @ 0.892473
4 Balkans + British + British + CEU @ 0.893157
5 French + Mixed_Germanic + Orkney + Slovenian @ 0.899628
6 British_Isles + French + Hungarians + N._European @ 0.902850
7 Cornwall + French + German + Slovenian @ 0.903662
8 French + Mixed_Germanic + Orkney + Slovenian @ 0.920502
9 British + French + Hungarians + N._European @ 0.940053
10 French + Mixed_Germanic + Argyll + Slovenian @ 0.958543
11 French + Hungarians + Irish + N._European @ 0.977715
12 French + Irish + Romanians_14 + Swedish @ 0.982236
13 Dutch + French + N._European + Slovenian @ 0.989703
14 British + French + German + Slovenian @ 0.994382
15 Dutch + French + Orkney + Slovenian @ 0.997652
16 Balkans + French + Kent + Norwegian @ 1.010080
17 Balkans + British + British_Isles + CEU @ 1.010425
18 French + Hungarians + Mixed_Germanic + Mixed_Germanic @ 1.011102
19 Balkans + British + CEU + Cornwall @ 1.012305
20 German + N_Italian + Norwegian + Argyll @ 1.018832

Crom
07-14-2015, 04:53 AM
Dodecad V3 4-Ancestors Oracle

This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: [email protected]
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.

Admix Results (sorted):

# Population Percent
1 West_European 52.02
2 Mediterranean 27.01
3 East_European 9.28
4 West_Asian 7.32
5 Northwest_African 1.59
6 Southwest_Asian 1.17
7 South_Asian 1.00


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 CEU @ 3.371804
2 N._European @ 5.239417
3 Orcadian @ 5.402219
4 Orkney @ 5.725631
5 Argyll @ 5.789811
6 French @ 8.847670
7 French @ 9.195249
8 German @ 9.286866
9 Mixed_Germanic @ 10.537078
10 Dutch @ 11.271797
11 Kent @ 13.604378
12 British_Isles @ 15.632880
13 British @ 15.672297
14 Cornwall @ 16.293707
15 Slovenian @ 18.418461
16 Irish @ 18.979383
17 Swedish @ 20.075670
18 Norwegian @ 20.697966
19 French_Basque @ 21.517984
20 Hungarians @ 22.899717

Using 2 populations approximation:
1 50% French +50% German @ 2.255942


Using 3 populations approximation:
1 50% German +25% Mixed_Germanic +25% Portuguese @ 1.937989


Using 4 populations approximation:
1 German + Mixed_Germanic + Portuguese + Argyll @ 1.322515
2 IBS + Mixed_Germanic + Norwegian + Slovenian @ 1.342602
3 Mixed_Germanic + Norwegian + Spanish + Slovenian @ 1.521947
4 German + Mixed_Germanic + Portuguese + N._European @ 1.534291
5 Hungarians + Irish + Mixed_Germanic + Portuguese @ 1.595433
6 Mixed_Germanic + Norwegian + Spaniards + Slovenian @ 1.611982
7 German + Mixed_Germanic + Orkney + Portuguese @ 1.649302
8 Dutch + IBS + Norwegian + Slovenian @ 1.681154
9 German + Mixed_Germanic + Orcadian + Portuguese @ 1.690460
10 Irish + Mixed_Germanic + Portuguese + Slovenian @ 1.724232
11 Mixed_Germanic + Norwegian + Portuguese + Slovenian @ 1.726173
12 IBS + Kent + Swedish + Slovenian @ 1.728314
13 Dutch + Norwegian + Portuguese + Slovenian @ 1.732928
14 Irish + Portuguese + Argyll + Slovenian @ 1.734781
15 North_Italian + Swedish + Argyll + N._European @ 1.754992
16 Cornwall + IBS + Swedish + Slovenian @ 1.778770
17 North_Italian + Swedish + N._European + N._European @ 1.784947
18 North_Italian + Orkney + Swedish + N._European @ 1.792325
19 Dutch + IBS + Swedish + Slovenian @ 1.807977
20 Irish + Orkney + Portuguese + Slovenian @ 1.824779

Lugus
07-15-2015, 05:20 AM
Crom, Do you have any idea where that "Portuguese" is coming from? Some Iberian admixture?

Lugus
07-15-2015, 05:32 AM
Admix Results (sorted):


# Population Percent
1 West_European 40.47
2 Mediterranean 33.86
3 West_Asian 9.82
4 Southwest_Asian 5.50
5 Northwest_African 4.79
6 East_European 3.45


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Portuguese @ 12.905286
2 French @ 13.249031
3 French @ 13.464860
4 Tuscan @ 14.228851
5 N_Italian @ 14.564877
6 TSI @ 14.638863
7 Tuscan @ 14.887812
8 Spaniards @ 16.145391
9 IBS @ 16.253675
10 Spanish @ 16.754648
11 North_Italian @ 18.654980
12 CEU @ 18.921537
13 O_Italian @ 19.662596
14 N._European @ 20.026678
15 French_Basque @ 20.250776
16 Orcadian @ 21.139896
17 Argyll @ 21.363064
18 Orkney @ 21.485926
19 Tuscan @ 22.085346
20 Slovenian @ 22.322399

Using 2 populations approximation:
1 50% French +50% Tuscan @ 5.310038


Using 3 populations approximation:
1 50% IBS +25% Morocco_Jews +25% Swedish @ 3.172670


Using 4 populations approximation:
1 Morocco_Jews + Norwegian + Portuguese + Portuguese @ 1.663518
2 French + Mixed_Germanic + Morocco_Jews + Portuguese @ 1.745935
3 French + Morocco_Jews + Portuguese + N._European @ 1.839750
4 Morocco_Jews + Portuguese + Portuguese + Swedish @ 1.840466
5 French + Morocco_Jews + Orkney + Portuguese @ 1.895239
6 French + Morocco_Jews + Orcadian + Portuguese @ 1.959428
7 French + Morocco_Jews + Portuguese + N._European @ 1.972468
8 Dutch + French + Morocco_Jews + Portuguese @ 2.010101
9 French + Morocco_Jews + Portuguese + Argyll @ 2.017491
10 French + Mixed_Germanic + Morocco_Jews + Portuguese @ 2.043286
11 Morocco_Jews + Portuguese + Spaniards + Swedish @ 2.063081
12 French + Morocco_Jews + Orkney + Portuguese @ 2.077126
13 CEU + French + Morocco_Jews + Portuguese @ 2.111383
14 French + Morocco_Jews + Portuguese + Argyll @ 2.130872
15 Ashkenazi + Norwegian + Portuguese + Portuguese @ 2.136419
16 French + Morocco_Jews + Orcadian + Portuguese @ 2.137453
17 Dutch + French + Morocco_Jews + Portuguese @ 2.175116
18 IBS + Morocco_Jews + Portuguese + Swedish @ 2.199760
19 Ashkenazi + Portuguese + Portuguese + Swedish @ 2.250051
20 IBS + Morocco_Jews + Norwegian + Portuguese @ 2.276589

Dodecad V3 is my favorite, it gets me right as Portuguese, but the aproximations are obviously exagerated. It should be some Northern European like all Iberians and a larger amount of mixed Mediterranean (all around the pond).

E_M81_I3A
07-15-2015, 06:26 AM
Admix Results (sorted):

# Population Percent
1 Mediterranean 30.69
2 West_European 26.45
3 Northwest_African 11.74
4 Southwest_Asian 8.38
5 West_Asian 7.32
6 East_European 5.49
7 East_African 4.09
8 Neo_African 3.64
9 Palaeo_African 1.53


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Tuscan @ 17.684977
2 Tuscan @ 17.846889
3 TSI @ 18.964031
4 O_Italian @ 20.715826
5 Ashkenazy_Jews @ 20.885031
6 Portuguese @ 21.307022
7 N_Italian @ 21.866413
8 Ashkenazi @ 22.225424
9 Morocco_Jews @ 23.886732
10 Tuscan @ 23.939354
11 C_Italian @ 24.263248
12 Romanians_14 @ 25.001350
13 North_Italian @ 25.146397
14 Morocco_N @ 25.313066
15 IBS @ 25.431597
16 Spanish @ 26.290070
17 Algeria @ 26.606407
18 Slovenian @ 26.892811
19 Spaniards @ 27.078564
20 Balkans @ 27.343098

Using 2 populations approximation:
1 50% French +50% Algeria @ 4.928406


Using 3 populations approximation:
1 50% Algeria +25% N_Italian +25% Orcadian @ 2.188753


Using 4 populations approximation:
1 French_Basque + German + Moroccans + Egypt @ 1.790897
2 German + Algeria + N_Italian + Morocco_N @ 1.972580
3 Algeria + N_Italian + Argyll + Morocco_N @ 2.003466
4 Algeria + N_Italian + Orcadian + Morocco_N @ 2.011344
5 Algeria + N_Italian + Orkney + Morocco_N @ 2.020234
6 CEU + Algeria + N_Italian + Morocco_N @ 2.043332
7 German + Algeria + North_Italian + Morocco_N @ 2.061597
8 Algeria + N_Italian + Morocco_N + N._European @ 2.152405
9 German + Morocco_Jews + Portuguese + Sahara_OCC @ 2.157904
10 Algeria + Algeria + N_Italian + Orcadian @ 2.188753
11 Algeria + Algeria + N_Italian + Orkney @ 2.232083
12 German + Algeria + Algeria + North_Italian @ 2.232574
13 Algeria + Algeria + North_Italian + Argyll @ 2.262220
14 Algeria + Algeria + North_Italian + Orkney @ 2.290729
15 French_Basque + Libya + Morocco_N + Slovenian @ 2.300415
16 French_Basque + German + Egypt + TUNISIA @ 2.307862
17 Algeria + Algeria + North_Italian + Orcadian @ 2.308239
18 CEU + Algeria + Algeria + N_Italian @ 2.345960
19 Algeria + Algeria + N_Italian + Argyll @ 2.377449
20 Algeria + N_Italian + North_African + Orkney @ 2.461017

Lugus
07-15-2015, 07:29 AM
rz1706, what is your ancestry?

anglesqueville
07-15-2015, 07:50 AM
Crom, Do you have any idea where that "Portuguese" is coming from? Some Iberian admixture?

Many northwesterners (if not all) get a southeuropean component with the 4-ancestors oracle. My conviction, and not only mine, far from it, is that this components reflects their EEF ( roughly neolithic, early or middle) part, and therefore is not necessarily linked to a southeuropean ancestrality in the 10 past centuries. This part is called portuguese, iberian, italian, or one of the sub-regional names of these clusters, or west-med, or east-med, depending of many things ( the admixtures used by the ground calculator, the reference populations, etc). Using Oracle with modern populations is very risky, and you should not take the results litterally. Personally, I think now they are for a great part just fun, and prefere work with ancient/archeological references.

Lugus
07-15-2015, 10:10 AM
Many northwesterners (if not all) get a southeuropean component with the 4-ancestors oracle. My conviction, and not only mine, far from it, is that this components reflects their EEF ( roughly neolithic, early or middle) part, and therefore is not necessarily linked to a southeuropean ancestrality in the 10 past centuries. This part is called portuguese, iberian, italian, or one of the sub-regional names of these clusters, or west-med, or east-med, depending of many things ( the admixtures used by the ground calculator, the reference populations, etc). Using Oracle with modern populations is very risky, and you should not take the results litterally. Personally, I think now they are for a great part just fun, and prefere work with ancient/archeological references.

Agreed, but people with parents or grandparents from different ethnicities (which is not my case) often see them appear in the oracles. I lost some of my skepticism about these admixture tools when I saw that they are consistent, although of course in a fuzzy way.

anglesqueville
07-15-2015, 12:41 PM
Lugus, it's not so much a matter of skepticism, but rather of difficulties with the interpretation. I do defend the idea that, when a calculator makes something appear, most often there is actually something. The difficulty is to say what. Just one example. 4mix with an eurogenes prog (don't recall which one, K10Steppes perhaps, or K14ANI), gives me a bit "algonquin". It is highly unlikely I have Algonquin ancestors, and highly probable that the alleles that 4mix, with this precise databasis, identifies as Algonquin, come from a north-eurasian ancestrality. This problem is particularly acute with Oracle with modern populations. But of course an oracle result may happen to be convergent with a genealogical paper trail, fortunately.

Jessie
07-15-2015, 01:07 PM
Here's mine. Does anyone know why it has Orkney and Orcadian? What's the difference?

Admix Results (sorted):

# Population Percent
1 West_European 55.75
2 Mediterranean 22.70
3 East_European 12.84
4 West_Asian 7.79


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Argyll @ 1.570250
2 Orkney @ 2.823640
3 Orcadian @ 2.876477
4 N._European @ 3.216774
5 CEU @ 3.936560
6 German @ 5.403244
7 Mixed_Germanic @ 8.660667
8 Dutch @ 10.131947
9 Kent @ 12.218744
10 British_Isles @ 13.739274
11 British @ 14.188494
12 Swedish @ 14.228313
13 French @ 14.858309
14 Cornwall @ 14.961836
15 French @ 15.224509
16 Norwegian @ 15.717998
17 Irish @ 16.710432
18 Slovenian @ 18.720474
19 Hungarians @ 23.325674
20 FIN @ 24.165121

Using 2 populations approximation:
1 50% Argyll +50% Argyll @ 1.570250


Using 3 populations approximation:
1 50% German +25% Mixed_Germanic +25% Orcadian @ 0.880220


Using 4 populations approximation:
1 German + German + Mixed_Germanic + Orcadian @ 0.880220
2 German + German + Mixed_Germanic + Argyll @ 0.887177
3 German + German + Mixed_Germanic + Orkney @ 0.896190
4 Dutch + German + German + Argyll @ 1.087378
5 German + Argyll + Argyll + Argyll @ 1.119728
6 German + German + Kent + Argyll @ 1.162126
7 German + Orkney + Argyll + Argyll @ 1.176629
8 German + Hungarians + Irish + Kent @ 1.236427
9 German + Orcadian + Argyll + Argyll @ 1.245063
10 CEU + Hungarians + Kent + Norwegian @ 1.303219
11 British_Isles + British_Isles + German + Hungarians @ 1.324639
12 Dutch + German + German + Orcadian @ 1.326830
13 CEU + German + German + Mixed_Germanic @ 1.332659
14 German + Orkney + Orkney + Argyll @ 1.348879
15 Hungarians + Mixed_Germanic + Norwegian + Orcadian @ 1.350129
16 Dutch + German + German + Orkney @ 1.363977
17 British_Isles + German + Hungarians + Irish @ 1.366527
18 Dutch + Hungarians + Norwegian + Orcadian @ 1.404119
19 Hungarians + Mixed_Germanic + Norwegian + Orkney @ 1.404485
20 German + Orcadian + Orkney + Argyll @ 1.404889

My brother's very similar to mine which is more unusual than you would expect.

Admix Results (sorted):

# Population Percent
1 West_European 55.09
2 Mediterranean 24.03
3 East_European 12.25
4 West_Asian 7.71


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Argyll @ 1.054911
2 Orcadian @ 1.956130
3 Orkney @ 2.136456
4 CEU @ 2.525381
5 N._European @ 3.108260
6 German @ 5.945963
7 Mixed_Germanic @ 8.871409
8 Dutch @ 10.090942
9 Kent @ 12.273680
10 French @ 13.404615
11 French @ 13.739767
12 British_Isles @ 13.966196
13 British @ 14.329733
14 Cornwall @ 15.083957
15 Swedish @ 15.656196
16 Norwegian @ 16.886833
17 Irish @ 17.100389
18 Slovenian @ 18.520096
19 Hungarians @ 23.055592
20 FIN @ 25.461868

Using 2 populations approximation:
1 50% Argyll +50% Argyll @ 1.054911


Using 3 populations approximation:
1 50% Argyll +25% Argyll +25% Argyll @ 1.054911


Using 4 populations approximation:
1 CEU + Argyll + Argyll + Argyll @ 0.952509
2 German + Orcadian + Orcadian + Argyll @ 1.022848
3 Argyll + Argyll + Argyll + Argyll @ 1.054911
4 German + Orcadian + Orkney + Argyll @ 1.086777
5 Orcadian + Argyll + Argyll + Argyll @ 1.090237
6 CEU + Orkney + Argyll + Argyll @ 1.105469
7 CEU + Orcadian + Argyll + Argyll @ 1.110820
8 German + Orcadian + Argyll + Argyll @ 1.128745
9 German + Orkney + Orkney + Argyll @ 1.138090
10 Orkney + Argyll + Argyll + Argyll @ 1.157486
11 German + Orcadian + Orcadian + Orcadian @ 1.163591
12 CEU + German + Orkney + Argyll @ 1.179251
13 German + Orkney + Argyll + Argyll @ 1.184273
14 British_Isles + Orcadian + Orkney + Slovenian @ 1.196290
15 CEU + German + Orcadian + Argyll @ 1.199906
16 British_Isles + Orcadian + Orcadian + Slovenian @ 1.203294
17 German + Orcadian + Orcadian + Orkney @ 1.212416
18 British_Isles + Orkney + Orkney + Slovenian @ 1.215992
19 CEU + German + Orkney + Orkney @ 1.238649
20 CEU + German + Orcadian + Orkney @ 1.251538

Jessie
07-15-2015, 01:11 PM
Admix Results (sorted):


# Population Percent
1 West_European 40.47
2 Mediterranean 33.86
3 West_Asian 9.82
4 Southwest_Asian 5.50
5 Northwest_African 4.79
6 East_European 3.45


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Portuguese @ 12.905286
2 French @ 13.249031
3 French @ 13.464860
4 Tuscan @ 14.228851
5 N_Italian @ 14.564877
6 TSI @ 14.638863
7 Tuscan @ 14.887812
8 Spaniards @ 16.145391
9 IBS @ 16.253675
10 Spanish @ 16.754648
11 North_Italian @ 18.654980
12 CEU @ 18.921537
13 O_Italian @ 19.662596
14 N._European @ 20.026678
15 French_Basque @ 20.250776
16 Orcadian @ 21.139896
17 Argyll @ 21.363064
18 Orkney @ 21.485926
19 Tuscan @ 22.085346
20 Slovenian @ 22.322399

Using 2 populations approximation:
1 50% French +50% Tuscan @ 5.310038


Using 3 populations approximation:
1 50% IBS +25% Morocco_Jews +25% Swedish @ 3.172670


Using 4 populations approximation:
1 Morocco_Jews + Norwegian + Portuguese + Portuguese @ 1.663518
2 French + Mixed_Germanic + Morocco_Jews + Portuguese @ 1.745935
3 French + Morocco_Jews + Portuguese + N._European @ 1.839750
4 Morocco_Jews + Portuguese + Portuguese + Swedish @ 1.840466
5 French + Morocco_Jews + Orkney + Portuguese @ 1.895239
6 French + Morocco_Jews + Orcadian + Portuguese @ 1.959428
7 French + Morocco_Jews + Portuguese + N._European @ 1.972468
8 Dutch + French + Morocco_Jews + Portuguese @ 2.010101
9 French + Morocco_Jews + Portuguese + Argyll @ 2.017491
10 French + Mixed_Germanic + Morocco_Jews + Portuguese @ 2.043286
11 Morocco_Jews + Portuguese + Spaniards + Swedish @ 2.063081
12 French + Morocco_Jews + Orkney + Portuguese @ 2.077126
13 CEU + French + Morocco_Jews + Portuguese @ 2.111383
14 French + Morocco_Jews + Portuguese + Argyll @ 2.130872
15 Ashkenazi + Norwegian + Portuguese + Portuguese @ 2.136419
16 French + Morocco_Jews + Orcadian + Portuguese @ 2.137453
17 Dutch + French + Morocco_Jews + Portuguese @ 2.175116
18 IBS + Morocco_Jews + Portuguese + Swedish @ 2.199760
19 Ashkenazi + Portuguese + Portuguese + Swedish @ 2.250051
20 IBS + Morocco_Jews + Norwegian + Portuguese @ 2.276589

Dodecad V3 is my favorite, it gets me right as Portuguese, but the aproximations are obviously exagerated. It should be some Northern European like all Iberians and a larger amount of mixed Mediterranean (all around the pond).

Your distance is quite large though which is odd. Sorry I just saw that you have some Kabyle ancestry. :)

anglesqueville
07-15-2015, 02:56 PM
Here's mine. Does anyone know why it has Orkney and Orcadian? What's the difference?

Admix Results (sorted):

# Population Percent
1 West_European 55.75
2 Mediterranean 22.70
3 East_European 12.84
4 West_Asian 7.79


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Argyll @ 1.570250
2 Orkney @ 2.823640
3 Orcadian @ 2.876477
4 N._European @ 3.216774
5 CEU @ 3.936560
6 German @ 5.403244
7 Mixed_Germanic @ 8.660667
8 Dutch @ 10.131947
9 Kent @ 12.218744
10 British_Isles @ 13.739274
11 British @ 14.188494
12 Swedish @ 14.228313
13 French @ 14.858309
14 Cornwall @ 14.961836
15 French @ 15.224509
16 Norwegian @ 15.717998
17 Irish @ 16.710432
18 Slovenian @ 18.720474
19 Hungarians @ 23.325674
20 FIN @ 24.165121

Using 2 populations approximation:
1 50% Argyll +50% Argyll @ 1.570250


Using 3 populations approximation:
1 50% German +25% Mixed_Germanic +25% Orcadian @ 0.880220


Using 4 populations approximation:
1 German + German + Mixed_Germanic + Orcadian @ 0.880220
2 German + German + Mixed_Germanic + Argyll @ 0.887177
3 German + German + Mixed_Germanic + Orkney @ 0.896190
4 Dutch + German + German + Argyll @ 1.087378
5 German + Argyll + Argyll + Argyll @ 1.119728
6 German + German + Kent + Argyll @ 1.162126
7 German + Orkney + Argyll + Argyll @ 1.176629
8 German + Hungarians + Irish + Kent @ 1.236427
9 German + Orcadian + Argyll + Argyll @ 1.245063
10 CEU + Hungarians + Kent + Norwegian @ 1.303219
11 British_Isles + British_Isles + German + Hungarians @ 1.324639
12 Dutch + German + German + Orcadian @ 1.326830
13 CEU + German + German + Mixed_Germanic @ 1.332659
14 German + Orkney + Orkney + Argyll @ 1.348879
15 Hungarians + Mixed_Germanic + Norwegian + Orcadian @ 1.350129
16 Dutch + German + German + Orkney @ 1.363977
17 British_Isles + German + Hungarians + Irish @ 1.366527
18 Dutch + Hungarians + Norwegian + Orcadian @ 1.404119
19 Hungarians + Mixed_Germanic + Norwegian + Orkney @ 1.404485
20 German + Orcadian + Orkney + Argyll @ 1.404889

My brother's very similar to mine which is more unusual than you would expect.

Admix Results (sorted):

# Population Percent
1 West_European 55.09
2 Mediterranean 24.03
3 East_European 12.25
4 West_Asian 7.71


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Argyll @ 1.054911
2 Orcadian @ 1.956130
3 Orkney @ 2.136456
4 CEU @ 2.525381
5 N._European @ 3.108260
6 German @ 5.945963
7 Mixed_Germanic @ 8.871409
8 Dutch @ 10.090942
9 Kent @ 12.273680
10 French @ 13.404615
11 French @ 13.739767
12 British_Isles @ 13.966196
13 British @ 14.329733
14 Cornwall @ 15.083957
15 Swedish @ 15.656196
16 Norwegian @ 16.886833
17 Irish @ 17.100389
18 Slovenian @ 18.520096
19 Hungarians @ 23.055592
20 FIN @ 25.461868

Using 2 populations approximation:
1 50% Argyll +50% Argyll @ 1.054911


Using 3 populations approximation:
1 50% Argyll +25% Argyll +25% Argyll @ 1.054911


Using 4 populations approximation:
1 CEU + Argyll + Argyll + Argyll @ 0.952509
2 German + Orcadian + Orcadian + Argyll @ 1.022848
3 Argyll + Argyll + Argyll + Argyll @ 1.054911
4 German + Orcadian + Orkney + Argyll @ 1.086777
5 Orcadian + Argyll + Argyll + Argyll @ 1.090237
6 CEU + Orkney + Argyll + Argyll @ 1.105469
7 CEU + Orcadian + Argyll + Argyll @ 1.110820
8 German + Orcadian + Argyll + Argyll @ 1.128745
9 German + Orkney + Orkney + Argyll @ 1.138090
10 Orkney + Argyll + Argyll + Argyll @ 1.157486
11 German + Orcadian + Orcadian + Orcadian @ 1.163591
12 CEU + German + Orkney + Argyll @ 1.179251
13 German + Orkney + Argyll + Argyll @ 1.184273
14 British_Isles + Orcadian + Orkney + Slovenian @ 1.196290
15 CEU + German + Orcadian + Argyll @ 1.199906
16 British_Isles + Orcadian + Orcadian + Slovenian @ 1.203294
17 German + Orcadian + Orcadian + Orkney @ 1.212416
18 British_Isles + Orkney + Orkney + Slovenian @ 1.215992
19 CEU + German + Orkney + Orkney @ 1.238649
20 CEU + German + Orcadian + Orkney @ 1.251538

Because of several reference datas, likely HGDP, 1000Genomes, Dodecad, don't remember which ones.

Lugus
07-15-2015, 04:20 PM
Jessie, where did you see the Kabyle? But there is definitely a clear MENA flavor and not all of it ancient (prehistoric). With our geography and our history it is quite expected (some of it could actually be Jewish). The Northern European might be more surprising. According to a paper that I read a few weeks ago there was some kind of migration to the peninsula from NE around 2000 BC. And again some of it could also be more recent, from the Migration Period.

kerbal
07-15-2015, 05:29 PM
Admix Results (sorted):

# Population Percent
1 West_European 46.97
2 Mediterranean 32.52
3 West_Asian 8.77
4 East_European 8.03
5 Southwest_Asian 1.29
6 Northwest_African 1.23
7 Southeast_Asian 0.9
8 Neo_African 0.19
9 Palaeo_African 0.11

Single Population Sharing:

# Population (source) Distance
1 French (HGDP) 6.31
2 French (Dodecad) 6.35
3 CEU (HapMap) 9.43
4 N._European (Xing) 11.4
5 Orcadian (HGDP) 11.41
6 Orkney (1000 Genomes) 11.82
7 Argyll (1000 Genomes) 11.88
8 German (Dodecad) 13.68
9 Mixed_Germanic (Dodecad) 15.32
10 Portuguese (Dodecad) 15.46
11 Dutch (Dodecad) 15.81
12 French_Basque (HGDP) 16.03
13 Spaniards (Behar) 16.43
14 Slovenian (Xing) 16.72
15 N_Italian (Dodecad) 17.03
16 IBS (1000Genomes) 17.44
17 Spanish (Dodecad) 17.45
18 Kent (1000 Genomes) 17.7
19 Tuscan (Henn) 18.8
20 TSI (HapMap) 18.85

randwulf
07-16-2015, 02:05 AM
Agreed, but people with parents or grandparents from different ethnicities (which is not my case) often see them appear in the oracles. I lost some of my skepticism about these admixture tools when I saw that they are consistent, although of course in a fuzzy way.

I should be about 7/10 West and South German mixed with about 2.5/10 English and a few other surprises and mixes at around .5/10. The 4-ancestors Oracles usually are confused by this. I think they usually have to add something from North and East Europe to grab the Siberian admixture that I have and balance that with a Spaniard or something from Southeast Europe because of the southern Europe admixture not being accounted for in that North and East European pseudo-ancestor. This ends up not really saying much about my actual ancestry, even though the answers are kind of consistent across the calculators - they are trying to pick four ancestors that when mixed add up to the admixture I have. The following are my top two matches for this calculator and are kind of typical:

1 French_Basque + Greek + Swedish + Swedish @ 1.072249
2 Cornwall + Romanians_14 + Spaniards + Swedish @ 1.086045

It seems like the Oracles are pretty accurate if I use the count that best represents the majority splits and ignore the minority - for example, my father is almost all one region in Europe and most of the "single" population Oracles get it right or close to right. Me, my Mom, my Wife, and my Father-in-law are mostly two general regions in Europe and many of the "two" ancestor mixes get them right. But as soon as the Oracle tries to pick three or four populations to mix, the Oracle starts to be able to account for some of the minority admixture and totally misses the ancestry as my family results aren't close to evenly-split three or four way ancestors. My ancestors are more like two basic ancestors for 95% and a bunch of little pieces for 5%. The 4mix calculator helps quite a bit as that method tries assigning uneven splits across the four and I often get some reasonable results that way as that method can assign 70% to one ancestor, 25% to another, and then split the other 5% between a couple more. I still have trouble getting results below a distance of "1", but get much better results.

iraqi
07-16-2015, 03:21 AM
Hello,
I don't understand my results.... It's confusing, I don't get it..What is my ancestry according to these results... thank you

Gedmatch.Com
Dodecad V3 4-Ancestors Oracle

Admix Results (sorted):

# Population Percent
1 West_Asian 30.91
2 Southwest_Asian 25.80
3 Mediterranean 21.85
4 West_European 5.25
5 South_Asian 5.02
6 East_African 3.75
7 Northwest_African 3.25
8 Southeast_Asian 1.60
9 Neo_African 1.15


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Syrians @ 6.801695
2 Palestinian @ 8.012630
3 Jordanians_19 @ 8.557404
4 Lebanese @ 9.471062
5 Georgia_Jews @ 10.537580
6 Uzbekistan_Jews @ 12.815956
7 Samaritians @ 13.108790
8 Iranian_Jews @ 13.111876
9 Iraq_Jews @ 13.825384
10 Druze @ 16.131931
11 Azerbaijan_Jews @ 16.455576
12 Egypt @ 16.760086
13 Kurd @ 17.119003
14 Kurd @ 18.272945
15 Yemenese @ 18.498968
16 Iranians @ 19.851578
17 Bedouin @ 20.190147
18 Morocco_Jews @ 21.162800
19 Egyptans @ 21.434843
20 Turkish @ 22.452730

Using 2 populations approximation:
1 50% Bedouin +50% Kurd @ 3.607182


Using 3 populations approximation:
1 50% Bedouin +25% Kurd +25% Turkish @ 3.406972


Using 4 populations approximation:
1 Bedouin + Iranians + Morocco_Jews + Syrians @ 2.975310
2 Bedouin + Iranians + Uzbekistan_Jews + Egypt @ 3.052487
3 Bedouin + Georgia_Jews + Iranians + Egypt @ 3.274548
4 Bedouin + Jordanians_19 + Kurd + Uzbekistan_Jews @ 3.277274
5 Bedouin + Georgia_Jews + Kurd + Egypt @ 3.284409
6 Bedouin + Kurd + Uzbekistan_Jews + Egypt @ 3.293708
7 Bedouin + Egyptans + Iranian + Uzbekistan_Jews @ 3.338737
8 Bedouin + Georgia_Jews + Iranian + Egypt @ 3.403438
9 Bedouin + Bedouin + Kurd + Turkish @ 3.406972
10 Azerbaijan_Jews + Bedouin + Kurd + Egypt @ 3.411864
11 Azerbaijan_Jews + Bedouin + Iranians + Egypt @ 3.436766
12 Bedouin + Egyptans + Kurd + Kurd @ 3.443569
13 Bedouin + Iranian_Jews + Kurd + Egypt @ 3.444544
14 Azerbaijan_Jews + Bedouin + Egyptans + Kurd @ 3.454573
15 Bedouin + Kurd + Palestinian + Uzbekistan_Jews @ 3.499146
16 Bedouin + Palestinian + Uzbekistan_Jews + Uzbekistan_Jews @ 3.534885
17 Bedouin + Jordanians_19 + Uzbekistan_Jews + Uzbekistan_Jews @ 3.542583
18 Bedouin + Georgia_Jews + Kurd + Palestinian @ 3.546773
19 Bedouin + Egyptans + Kurd + Kurd @ 3.560792
20 Bedouin + Iranian_Jews + Iranians + Egypt @ 3.562439

Lugus
07-16-2015, 05:43 AM
I should be about 7/10 West and South German mixed with about 2.5/10 English and a few other surprises and mixes at around .5/10. The 4-ancestors Oracles usually are confused by this. I think they usually have to add something from North and East Europe to grab the Siberian admixture that I have and balance that with a Spaniard or something from Southeast Europe because of the southern Europe admixture not being accounted for in that North and East European pseudo-ancestor. This ends up not really saying much about my actual ancestry, even though the answers are kind of consistent across the calculators - they are trying to pick four ancestors that when mixed add up to the admixture I have. The following are my top two matches for this calculator and are kind of typical:

1 French_Basque + Greek + Swedish + Swedish @ 1.072249
2 Cornwall + Romanians_14 + Spaniards + Swedish @ 1.086045

It seems like the Oracles are pretty accurate if I use the count that best represents the majority splits and ignore the minority - for example, my father is almost all one region in Europe and most of the "single" population Oracles get it right or close to right. Me, my Mom, my Wife, and my Father-in-law are mostly two general regions in Europe and many of the "two" ancestor mixes get them right. But as soon as the Oracle tries to pick three or four populations to mix, the Oracle starts to be able to account for some of the minority admixture and totally misses the ancestry as my family results aren't close to evenly-split three or four way ancestors. My ancestors are more like two basic ancestors for 95% and a bunch of little pieces for 5%. The 4mix calculator helps quite a bit as that method tries assigning uneven splits across the four and I often get some reasonable results that way as that method can assign 70% to one ancestor, 25% to another, and then split the other 5% between a couple more. I still have trouble getting results below a distance of "1", but get much better results.

Obviously we are still dealing with very clumsy tools that only give us a hazy and unfocused picture of things. I am sure better tools will be developed in the coming years as more genomes are availlable, including ancient and historical DNA.

anglesqueville
07-16-2015, 07:36 AM
randwulf: "I should be about 7/10 West and South German mixed with about 2.5/10 English and a few other surprises and mixes at around .5/10. The 4-ancestors Oracles usually are confused by this. I think they usually have to add something from North and East Europe to grab the Siberian admixture that I have and balance that with a Spaniard or something from Southeast Europe because of the southern Europe admixture not being accounted for in that North and East European pseudo-ancestor." I make exactly the same analysis, for the same reasons (a bit of siberian/uralic/amerindian that confuses the oracle programs). We should never forget the essentialy mathematical nature of these calculators.

Agamemnon
07-16-2015, 11:33 AM
Hello,
I don't understand my results.... It's confusing, I don't get it..What is my ancestry according to these results... thank you

Gedmatch.Com
Dodecad V3 4-Ancestors Oracle

Admix Results (sorted):

# Population Percent
1 West_Asian 30.91
2 Southwest_Asian 25.80
3 Mediterranean 21.85
4 West_European 5.25
5 South_Asian 5.02
6 East_African 3.75
7 Northwest_African 3.25
8 Southeast_Asian 1.60
9 Neo_African 1.15


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Syrians @ 6.801695
2 Palestinian @ 8.012630
3 Jordanians_19 @ 8.557404
4 Lebanese @ 9.471062
5 Georgia_Jews @ 10.537580
6 Uzbekistan_Jews @ 12.815956
7 Samaritians @ 13.108790
8 Iranian_Jews @ 13.111876
9 Iraq_Jews @ 13.825384
10 Druze @ 16.131931
11 Azerbaijan_Jews @ 16.455576
12 Egypt @ 16.760086
13 Kurd @ 17.119003
14 Kurd @ 18.272945
15 Yemenese @ 18.498968
16 Iranians @ 19.851578
17 Bedouin @ 20.190147
18 Morocco_Jews @ 21.162800
19 Egyptans @ 21.434843
20 Turkish @ 22.452730

Using 2 populations approximation:
1 50% Bedouin +50% Kurd @ 3.607182


Using 3 populations approximation:
1 50% Bedouin +25% Kurd +25% Turkish @ 3.406972


Using 4 populations approximation:
1 Bedouin + Iranians + Morocco_Jews + Syrians @ 2.975310
2 Bedouin + Iranians + Uzbekistan_Jews + Egypt @ 3.052487
3 Bedouin + Georgia_Jews + Iranians + Egypt @ 3.274548
4 Bedouin + Jordanians_19 + Kurd + Uzbekistan_Jews @ 3.277274
5 Bedouin + Georgia_Jews + Kurd + Egypt @ 3.284409
6 Bedouin + Kurd + Uzbekistan_Jews + Egypt @ 3.293708
7 Bedouin + Egyptans + Iranian + Uzbekistan_Jews @ 3.338737
8 Bedouin + Georgia_Jews + Iranian + Egypt @ 3.403438
9 Bedouin + Bedouin + Kurd + Turkish @ 3.406972
10 Azerbaijan_Jews + Bedouin + Kurd + Egypt @ 3.411864
11 Azerbaijan_Jews + Bedouin + Iranians + Egypt @ 3.436766
12 Bedouin + Egyptans + Kurd + Kurd @ 3.443569
13 Bedouin + Iranian_Jews + Kurd + Egypt @ 3.444544
14 Azerbaijan_Jews + Bedouin + Egyptans + Kurd @ 3.454573
15 Bedouin + Kurd + Palestinian + Uzbekistan_Jews @ 3.499146
16 Bedouin + Palestinian + Uzbekistan_Jews + Uzbekistan_Jews @ 3.534885
17 Bedouin + Jordanians_19 + Uzbekistan_Jews + Uzbekistan_Jews @ 3.542583
18 Bedouin + Georgia_Jews + Kurd + Palestinian @ 3.546773
19 Bedouin + Egyptans + Kurd + Kurd @ 3.560792
20 Bedouin + Iranian_Jews + Iranians + Egypt @ 3.562439


Your results are almost identical to those of another Iraqi member (http://www.anthrogenica.com/showthread.php?4631-Iraqi-Girl-Posting-my-interesting-findings-amp-results-I-got-from-different-projects&p=87976&viewfull=1#post87976) here on Anthrogenica:

Dodecad V3 4-Ancestors Oracle

Admix Results (sorted):

# Population Percent
1 West_Asian 30.68
2 Southwest_Asian 25.72
3 Mediterranean 22.68
4 West_European 5.27
5 South_Asian 4.95
6 East_African 3.28
7 Northwest_African 2.90
8 Southeast_Asian 1.51
9 Neo_African 1.30
10 Palaeo_African 1.21


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Syrians @ 6.561443
2 Palestinian @ 7.495962
3 Jordanians_19 @ 8.072948
4 Lebanese @ 8.883910
5 Georgia_Jews @ 10.365720
6 Samaritians @ 12.490030
7 Uzbekistan_Jews @ 12.741411
8 Iranian_Jews @ 12.874392
9 Iraq_Jews @ 13.507172
10 Druze @ 15.687428
11 Azerbaijan_Jews @ 16.252089
12 Egypt @ 16.604977
13 Kurd @ 17.222393
14 Kurd @ 18.470303
15 Yemenese @ 18.584024
16 Iranians @ 20.212643
17 Bedouin @ 20.216969
18 Morocco_Jews @ 20.550797
19 Egyptans @ 21.420206
20 Turkish @ 22.252321

Using 2 populations approximation:
1 50% Bedouin +50% Kurd @ 4.122725


Using 3 populations approximation:
1 50% Bedouin +25% Kurd +25% Turkish @ 3.427567


Using 4 populations approximation:
1 Bedouin + Iranians + Morocco_Jews + Syrians @ 2.341725
2 Bedouin + Iranians + Jordanians_19 + Morocco_Jews @ 3.085062
3 Bedouin + Jordanians_19 + Uzbekistan_Jews + Uzbekistan_Jews @ 3.138575
4 Bedouin + Palestinian + Uzbekistan_Jews + Uzbekistan_Jews @ 3.140055
5 Bedouin + Jordanians_19 + Kurd + Uzbekistan_Jews @ 3.219998
6 Bedouin + Georgia_Jews + Kurd + Egypt @ 3.261803
7 Azerbaijan_Jews + Bedouin + Kurd + Egypt @ 3.278032
8 Bedouin + Iranian + Morocco_Jews + Syrians @ 3.291289
9 Bedouin + Iranian_Jews + Kurd + Egypt @ 3.320229
10 Bedouin + Kurd + Uzbekistan_Jews + Egypt @ 3.336227
11 Ashkenazi + Bedouin + Iranians + Syrians @ 3.351954

firemonkey
07-16-2015, 10:50 PM
FTDNA

Dodecad v3:

1 West_European 54.36
2 Mediterranean 24.91
3 East_European 11.97
4 West_Asian 6.37
5 South_Asian 1.63
6 Northwest_African 0.58
7 Northeast_Asian 0.13
8 Southeast_Asian 0.03
9 East_African 0.03


Using 1 population approximation:
1 Orcadian @ 2.199
2 CEU @ 2.222
3 Orkney @ 2.396
4 Argyll @ 2.596
5 N._European @ 3.857
6 German @ 6.406
7 Mixed_Germanic @ 9.669
8 Dutch @ 10.377
9 French @ 12.510
10 Kent @ 12.560
227 iterations.



Using 2 populations approximation:
1 50% CEU +50% Orkney @ 1.775
2 50% CEU +50% Orcadian @ 1.815
3 50% CEU +50% Argyll @ 1.916
4 50% Orcadian +50% Orcadian @ 2.199
5 50% CEU +50% CEU @ 2.222
6 50% Orcadian +50% Argyll @ 2.223
7 50% Orcadian +50% Orkney @ 2.280
8 50% Orkney +50% Argyll @ 2.326
9 50% Orkney +50% Orkney @ 2.396
10 50% Orcadian +50% N._European @ 2.571
25878 iterations.



Using 3 populations approximation:
1 50% CEU +25% Orkney +25% Orkney @ 1.775
2 50% Orkney +25% CEU +25% CEU @ 1.775
3 50% CEU +25% Orcadian +25% Orkney @ 1.789
4 50% CEU +25% Orkney +25% Argyll @ 1.790
5 50% Orcadian +25% CEU +25% German @ 1.791
6 50% Orkney +25% CEU +25% German @ 1.799
7 50% CEU +25% Orcadian +25% Argyll @ 1.809
8 50% CEU +25% Orcadian +25% Orcadian @ 1.815
9 50% Orcadian +25% CEU +25% CEU @ 1.815
10 50% CEU +25% CEU +25% Orkney @ 1.870
413312 iterations.



Using 4 populations approximation:
1 CEU + CEU + Orkney + Orkney @ 1.775
2 CEU + CEU + Orcadian + Orkney @ 1.789
3 CEU + German + Orcadian + Orkney @ 1.789
4 CEU + CEU + Orkney + Argyll @ 1.790
5 CEU + German + Orcadian + Orcadian @ 1.791
6 CEU + German + Orkney + Orkney @ 1.799
7 CEU + CEU + Orcadian + Argyll @ 1.809
8 CEU + CEU + Orcadian + Orcadian @ 1.815
9 CEU + CEU + CEU + Orkney @ 1.870
10 CEU + CEU + German + Orkney @ 1.879
11 German + Orcadian + Orcadian + Orcadian @ 1.883
12 CEU + Orcadian + Orcadian + Argyll @ 1.891
13 CEU + Orcadian + Orkney + Argyll @ 1.907
14 German + Orcadian + Orcadian + Orkney @ 1.914
15 CEU + CEU + German + Orcadian @ 1.915
16 CEU + Orcadian + Orcadian + Orcadian @ 1.915
17 CEU + CEU + Argyll + Argyll @ 1.916
18 CEU + Orcadian + Orcadian + Orkney @ 1.923
19 CEU + CEU + CEU + Orcadian @ 1.928
20 CEU + Orkney + Orkney + Argyll @ 1.934


23andMe

Admix Results (sorted):

# Population Percent
1 West_European 54.14
2 Mediterranean 24.57
3 East_European 12.3
4 West_Asian 6.34
5 South_Asian 1.17
6 Northwest_African 0.75
7 East_African 0.36
8 Northeast_Asian 0.21
9 Palaeo_African 0.09
10 Southeast_Asian 0.07


Least-squares method.

Using 1 population approximation:
1 CEU @ 2.254731
2 Argyll @ 2.603151
3 Orcadian @ 2.702274
4 Orkney @ 2.871514
5 N._European @ 3.516806
6 German @ 5.752908
7 Mixed_Germanic @ 10.029557
8 Dutch @ 10.925960
9 French @ 12.890811
10 French @ 12.986576
11 Kent @ 13.124496
12 British_Isles @ 14.798017
13 British @ 15.117420
14 Cornwall @ 15.919745
15 Swedish @ 16.514938
16 Norwegian @ 17.728075
17 Slovenian @ 17.953983
18 Irish @ 17.985485
19 Hungarians @ 22.346720
20 French_Basque @ 24.719515

Using 2 populations approximation:
1 50% CEU +50% Argyll @ 1.956479


Using 3 populations approximation:
1 50% CEU +25% German +25% Orkney @ 1.508807


Using 4 populations approximation:
1 CEU + CEU + German + Orkney @ 1.508807
2 CEU + CEU + German + Orcadian @ 1.556911
3 CEU + German + Orcadian + Orkney @ 1.573588
4 CEU + German + Orcadian + Orcadian @ 1.578999
5 CEU + German + Orkney + Orkney @ 1.590560
6 British + Hungarians + Orkney + Orkney @ 1.593146
7 British + Hungarians + Orcadian + Orkney @ 1.630573
8 Cornwall + Hungarians + Orkney + Orkney @ 1.638386
9 British_Isles + Hungarians + Orkney + Orkney @ 1.643573
10 CEU + CEU + German + Argyll @ 1.673068
11 Cornwall + Hungarians + Orcadian + Orkney @ 1.690567
12 CEU + German + Orcadian + Argyll @ 1.693032
13 CEU + German + Orkney + Argyll @ 1.699893
14 British + Hungarians + Orcadian + Orcadian @ 1.702272
15 British_Isles + Hungarians + Orcadian + Orkney @ 1.706513
16 CEU + CEU + CEU + German @ 1.747320
17 British_Isles + Hungarians + Orcadian + Orcadian @ 1.749070
18 Cornwall + Hungarians + Orcadian + Orcadian @ 1.759408
19 CEU + Hungarians + Irish + Orkney @ 1.773290
20 Hungarians + Irish + Orcadian + Orcadian @ 1.781111

Jessie
07-17-2015, 02:42 AM
Jessie, where did you see the Kabyle? But there is definitely a clear MENA flavor and not all of it ancient (prehistoric). With our geography and our history it is quite expected (some of it could actually be Jewish). The Northern European might be more surprising. According to a paper that I read a few weeks ago there was some kind of migration to the peninsula from NE around 2000 BC. And again some of it could also be more recent, from the Migration Period.

Sorry Lugus. I must have read incorrectly.

AnnieD
07-17-2015, 05:58 AM
I couldn't resist comparing the top populations of the six of us that have posted our results and indicated heavy British and / or NW - continental heritage (Sam Isaak, FireMonkey, Crom, Jessie and brother and me). All six of us had nearly the same composition of top 10 Least Squares but with some variation in order. The 8 populations listed below were in the top 10 for all of us (in alpha order as I'm not mathematical enough to compute any statistical algorithm - LOL):
Argyll
CEU
Dutch
German
Mix German
N Eur
Orcadian
Orkney

And these populations occurred in the top 5 in varying order for all of us:
Argyll
CEU
N Eur
Orcadian
Orkney

Considering Jessie's and his brother's Irish background, it was surprising that the Irish population featured rather lowly in their results at no. 17 (No. 16 for me but I have more English and Scottish ancestors). German and Mixed German turned up at no. 6 & 7 respectively for all but 1 of us and French was the only population to appear in top 10 in duplicate (assume different sources) including me. However, the mixed mode populations show more variation with some pulling toward more British populations and other towards more continental - German / Mixed German.

Jessie
07-17-2015, 07:22 AM
I couldn't resist comparing the top populations of the six of us that have posted our results and indicated heavy British and / or NW - continental heritage (Sam Isaak, FireMonkey, Crom, Jessie and brother and me). All six of us had nearly the same composition of top 10 Least Squares but with some variation in order. The 8 populations listed below were in the top 10 for all of us (in alpha order as I'm not mathematical enough to compute any statistical algorithm - LOL):
Argyll
CEU
Dutch
German
Mix German
N Eur
Orcadian
Orkney

And these populations occurred in the top 5 in varying order for all of us:
Argyll
CEU
N Eur
Orcadian
Orkney

Considering Jessie's and his brother's Irish background, it was surprising that the Irish population featured rather lowly in their results at no. 17 (No. 16 for me but I have more English and Scottish ancestors). German and Mixed German turned up at no. 6 & 7 respectively for all but 1 of us and French was the only population to appear in top 10 in duplicate (assume different sources) including me. However, the mixed mode populations show more variation with some pulling toward more British populations and other towards more continental - German / Mixed German.

I think it shows that the Irish sample is a bit off. I find Dodecad not very accurate. All these calculators need to be taken with a pinch of salt. I think they might give some insight into your genetics but I wouldn't take them too literally. I have 4 members tested and we will usually get slightly different populations. As an example on the K13 I get North Dutch as my top population and on the K15 my brother gets Orcadian as his top population.

GogMagog
07-17-2015, 09:04 AM
East European 10.78
West European 55.71
Mediterranean 24.33
West Asian 7.52
South Asian 0.74
North East Asian 0.40
South East Asian 0.46
Paleo African 0.06.

French Basque 24.6
Hungarian 24.4
Slovenian 19.8
Norwegian 16.2
Irish 15.7
Swede 15.4
Cornwall 13.6
British 12.8
French 12.8
Kent 10.8
Dutch 8.5
German 7.5
CEU 2.3
Argyll 1.2
Orkney 1.03

Crom
07-17-2015, 03:35 PM
Crom, Do you have any idea where that "Portuguese" is coming from? Some Iberian admixture?

It's not Iberian ancestry, I just have a bit higher Med percentage than your average person of Northern European descent. It comes from my mother's side somewhere, she has a lot of the "olive toned" British ancestry in her family mixed with Dutch/Frisian. My father's side is all Germans and Anglo Saxon "phenotype" English, Swedish, Danish.

Boudicca
07-18-2015, 09:03 AM
Dad (mostly British Isles a few brick walls 1.1% Eastern European, 0.3% MENA and 0.1% AJ on AC)
Population Percent
1 West_European 50.24
2 Mediterranean 26.45
3 East_European 11.91
4 West_Asian 9.14
5 Southwest_Asian 2.1
6 Northwest_African 0.15

Primary Population (source) Secondary Population (source) Distance
1 61.7% Cornwall (1000 Genomes) + 38.3% Balkans (Dodecad) @ 0.81
2 62.5% British (Dodecad) + 37.5% Balkans (Dodecad) @ 0.82
3 68.9% Dutch (Dodecad) + 31.1% Balkans (Dodecad) @ 0.85
4 65.4% Kent (1000 Genomes) + 34.6% Balkans (Dodecad) @ 0.87
5 62.7% British_Isles (Dodecad) + 37.3% Balkans (Dodecad) @ 1.17

Least-squares method.

Using 1 population approximation:
1 CEU @ 4.441615

Using 2 populations approximation:
1 50% Dutch +50% Slovenian @ 3.436731


Using 3 populations approximation:
1 50% German +25% Norwegian +25% Tuscan @ 0.839221


Using 4 populations approximation:
1 Mixed_Germanic + N_Italian + Swedish + Slovenian @ 0.515586

Mum (half UK half unknown US)
1 West_European 53.51
2 Mediterranean 23.63
3 East_European 13.54
4 West_Asian 7.58
5 Southwest_Asian 1.22
6 Southeast_Asian 0.33
7 Northeast_Asian 0.19
8 South_Asian 0.01

Primary Population (source) Secondary Population (source) Distance
1 57% British_Isles (Dodecad) + 43% Hungarians (Behar) @ 0.59
2 55.5% CEU (HapMap) + 44.5% German (Dodecad) @ 0.87
3 56.4% British (Dodecad) + 43.6% Hungarians (Behar) @ 0.92
4 52.6% Irish (Dodecad) + 47.4% Hungarians (Behar) @ 0.95
5 80.3% Orkney (1000 Genomes) + 19.7% Slovenian (Xing) @ 1.06

Least-squares method.

Using 1 population approximation:
1 Argyll @ 3.107789

Using 2 populations approximation:
1 50% CEU +50% German @ 0.992961


Using 3 populations approximation:
1 50% Dutch +25% German +25% Hungarians @ 0.778645


Using 4 populations approximation:
1 German + Kent + Orkney + Slovenian @ 0.517475

Maternal half Aunt (100% UK)
Population Percent
1 West_European 53.66
2 Mediterranean 24.73
3 East_European 13.1
4 West_Asian 4.55
5 Southwest_Asian 1.91
6 South_Asian 1.42
7 Northwest_African 0.42
8 Northeast_Asian 0.2

Primary Population (source) Secondary Population (source) Distance
1 73.6% German (Dodecad) + 26.4% French (Dodecad) @ 2.28
2 84.3% German (Dodecad) + 15.7% French_Basque (HGDP) @ 2.35
3 65.5% French (HGDP) + 34.5% FIN (1000Genomes) @ 2.44
4 74.4% German (Dodecad) + 25.6% French (HGDP) @ 2.45
5 90.8% CEU (HapMap) + 9.2% FIN (1000Genomes) @ 2.51

Least-squares method.

Using 1 population approximation:
1 CEU @ 3.791260

Using 2 populations approximation:
1 50% CEU +50% German @ 3.011140


Using 3 populations approximation:
1 50% British +25% French +25% Polish @ 1.712296


Using 4 populations approximation:
1 Hungarians + Norwegian + Spaniards + Swedish @ 1.481586

Do these results support the Eastern European at AC for my Dad?

randwulf
07-18-2015, 12:47 PM
Dad (mostly British Isles a few brick walls 1.1% Eastern European, 0.3% MENA and 0.1% AJ on AC)
Population Percent
1 West_European 50.24
2 Mediterranean 26.45
3 East_European 11.91
4 West_Asian 9.14
5 Southwest_Asian 2.1
6 Northwest_African 0.15

Do these results support the Eastern European at AC for my Dad?

It could. Again these are close to my mom's numbers similar to the K12b results (see this for details on her admixture: http://www.anthrogenica.com/showthread.php?3520-Post-your-Dodecad-K12b-Results&p=96226&viewfull=1#post96226)

Her numbers:

# Population Percent
1 West_European 50.36
2 Mediterranean 28.15
3 East_European 11.12
4 West_Asian 9.18
5 Northwest_African 1.11
6 South_Asian 0.08
7 Southwest_Asian 0.01

Boeck
07-19-2015, 01:49 AM
Mother (M213516)

Population
East_European 11.17%
West_European 50.45%
Mediterranean 24.34%
Neo_African -
West_Asian 9.93%
South_Asian 0.52%
Northeast_Asian 1.24%
Southeast_Asian -
East_African 0.08%
Southwest_Asian 2.18%
Northwest_African 0.09%
Palaeo_African -

Single Population Sharing:


# Population (source) Distance
1 N._European (Xing) 4.27
2 CEU (HapMap) 4.39
3 Argyll (1000 Genomes) 5.37
4 Orcadian (HGDP) 6.11
5 Orkney (1000 Genomes) 6.37
6 German (Dodecad) 6.78
7 Mixed_Germanic (Dodecad) 10.31
8 French (HGDP) 11.32
9 French (Dodecad) 11.79
10 Dutch (Dodecad) 11.85
11 Slovenian (Xing) 13.96
12 Kent (1000 Genomes) 14.03
13 British_Isles (Dodecad) 15.76
14 British (Dodecad) 15.91
15 Cornwall (1000 Genomes) 16.43
16 Swedish (Dodecad) 17.81
17 Hungarians (Behar) 18.46
18 Irish (Dodecad) 18.55
19 Norwegian (Dodecad) 18.98
20 French_Basque (HGDP) 23.1

Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 91% Argyll (1000 Genomes) + 9% Lebanese (Behar) @ 1.15
2 86.3% Argyll (1000 Genomes) + 13.7% Ashkenazy_Jews (Behar) @ 1.25
3 91.3% Argyll (1000 Genomes) + 8.7% Samaritians (Behar) @ 1.25
4 90.8% N._European (Xing) + 9.2% Greek (Dodecad) @ 1.29
5 86.9% Argyll (1000 Genomes) + 13.1% Ashkenazi (Dodecad) @ 1.32
6 91.3% Argyll (1000 Genomes) + 8.7% Jordanians_19 (Behar) @ 1.39
7 91% Argyll (1000 Genomes) + 9% Palestinian (HGDP) @ 1.4
8 91.3% Argyll (1000 Genomes) + 8.7% Druze (HGDP) @ 1.42
9 91.3% Argyll (1000 Genomes) + 8.7% Cypriots (Behar) @ 1.45
10 90.1% CEU (HapMap) + 9.9% Stalskoe (Xing) @ 1.45
11 91.3% Argyll (1000 Genomes) + 8.7% Syrians (Behar) @ 1.45
12 93% CEU (HapMap) + 7% Iranians (Behar) @ 1.49
13 93% CEU (HapMap) + 7% Iranian (Dodecad) @ 1.5
14 91.5% Argyll (1000 Genomes) + 8.5% Iraq_Jews (Behar) @ 1.52
15 91% Argyll (1000 Genomes) + 9% Georgia_Jews (Behar) @ 1.53
16 92.4% CEU (HapMap) + 7.6% Kurd (Dodecad) @ 1.56
17 91.3% Argyll (1000 Genomes) + 8.7% Iranian_Jews (Behar) @ 1.57
18 88.6% Argyll (1000 Genomes) + 11.4% Morocco_Jews (Behar) @ 1.58
19 68% Norwegian (Dodecad) + 32% Greek (Dodecad) @ 1.61
20 93.2% N._European (Xing) + 6.8% Cypriots (Behar) @ 1.63

Maternal Aunt (M191828)


Population
East_European 10.84%
West_European 49.12%
Mediterranean 27.00%
Neo_African -
West_Asian 9.00%
South_Asian 1.61%
Northeast_Asian 0.95%
Southeast_Asian -
East_African -
Southwest_Asian 1.43%
Northwest_African -
Palaeo_African -


Single Population Sharing:


# Population (source) Distance
1 CEU (HapMap) 4.94
2 N._European (Xing) 6.19
3 Argyll (1000 Genomes) 6.87
4 Orcadian (HGDP) 7.06
5 Orkney (1000 Genomes) 7.41
6 German (Dodecad) 8.21
7 French (HGDP) 9.5
8 French (Dodecad) 9.73
9 Mixed_Germanic (Dodecad) 11.93
10 Dutch (Dodecad) 12.98
11 Slovenian (Xing) 13.8
12 Kent (1000 Genomes) 15.14
13 British_Isles (Dodecad) 16.99
14 British (Dodecad) 17.05
15 Cornwall (1000 Genomes) 17.56
16 Hungarians (Behar) 17.92
17 Irish (Dodecad) 19.93
18 Swedish (Dodecad) 20.03
19 French_Basque (HGDP) 20.8
20 Norwegian (Dodecad) 20.99

Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 85.7% Argyll (1000 Genomes) + 14.3% Sicilian (Dodecad) @ 1.53
2 84.2% Orkney (1000 Genomes) + 15.8% Greek (Dodecad) @ 1.61
3 89.2% CEU (HapMap) + 10.8% Greek (Dodecad) @ 1.64
4 91.9% CEU (HapMap) + 8.1% Cypriots (Behar) @ 1.68
5 83.3% Argyll (1000 Genomes) + 16.7% C_Italian (Dodecad) @ 1.7
6 68.4% Dutch (Dodecad) + 31.6% Romanians_14 (Behar) @ 1.72
7 62.1% British (Dodecad) + 37.9% Romanians_14 (Behar) @ 1.72
8 90.5% CEU (HapMap) + 9.5% Sephardic_Jews (Behar) @ 1.73
9 89.7% CEU (HapMap) + 10.3% Sicilian (Dodecad) @ 1.74
10 89.3% CEU (HapMap) + 10.7% S_Italian_Sicilian (Dodecad) @ 1.76
11 90% CEU (HapMap) + 10% S_Italian (Dodecad) @ 1.76
12 62.2% British_Isles (Dodecad) + 37.8% Romanians_14 (Behar) @ 1.77
13 85.3% Argyll (1000 Genomes) + 14.7% S_Italian_Sicilian (Dodecad) @ 1.77
14 86.3% Argyll (1000 Genomes) + 13.7% S_Italian (Dodecad) @ 1.78
15 80.7% Argyll (1000 Genomes) + 19.3% O_Italian (Dodecad) @ 1.78
16 87.4% CEU (HapMap) + 12.6% Ashkenazy_Jews (Behar) @ 1.8
17 84.8% Orkney (1000 Genomes) + 15.2% Sicilian (Dodecad) @ 1.8
18 86.9% Argyll (1000 Genomes) + 13.1% Sephardic_Jews (Behar) @ 1.81
19 83.2% CEU (HapMap) + 16.8% Tuscan (Xing) @ 1.81
20 85% Orcadian (HGDP) + 15% Greek (Dodecad) @ 1.82

Maternal Uncle (M052036)




Population
East_European 11.81%
West_European 50.77%
Mediterranean 26.56%
Neo_African -
West_Asian 8.47%
South_Asian 0.27%
Northeast_Asian 0.60%
Southeast_Asian 0.41%
East_African -
Southwest_Asian 1.11%
Northwest_African -
Palaeo_African -

Single Population Sharing:


# Population (source) Distance
1 CEU (HapMap) 3.2
2 N._European (Xing) 4.89
3 Argyll (1000 Genomes) 5.24
4 Orcadian (HGDP) 5.36
5 Orkney (1000 Genomes) 5.76
6 German (Dodecad) 6.66
7 French (HGDP) 9.97
8 French (Dodecad) 10.14
9 Mixed_Germanic (Dodecad) 10.91
10 Dutch (Dodecad) 12.01
11 Slovenian (Xing) 14.04
12 Kent (1000 Genomes) 14.12
13 British_Isles (Dodecad) 15.9
14 British (Dodecad) 16.04
15 Cornwall (1000 Genomes) 16.62
16 Hungarians (Behar) 18.14
17 Swedish (Dodecad) 18.46
18 Irish (Dodecad) 18.87
19 Norwegian (Dodecad) 19.5
20 French_Basque (HGDP) 21.18

Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 90.4% CEU (HapMap) + 9.6% Romanians_14 (Behar) @ 0.82
2 92.9% CEU (HapMap) + 7.1% Greek (Dodecad) @ 0.9
3 66.6% Kent (1000 Genomes) + 33.4% Balkans (Dodecad) @ 1.06
4 63.7% British (Dodecad) + 36.3% Balkans (Dodecad) @ 1.07
5 87.6% Orkney (1000 Genomes) + 12.4% Greek (Dodecad) @ 1.09
6 88.5% Orcadian (HGDP) + 11.5% Greek (Dodecad) @ 1.13
7 70.1% Dutch (Dodecad) + 29.9% Balkans (Dodecad) @ 1.26
8 94.9% CEU (HapMap) + 5.1% Cypriots (Behar) @ 1.26
9 90.5% CEU (HapMap) + 9.5% Balkans (Dodecad) @ 1.29
10 62.9% Cornwall (1000 Genomes) + 37.1% Balkans (Dodecad) @ 1.29
11 63.9% British_Isles (Dodecad) + 36.1% Balkans (Dodecad) @ 1.3
12 84.8% Orcadian (HGDP) + 15.2% Romanians_14 (Behar) @ 1.33
13 93.5% CEU (HapMap) + 6.5% Sicilian (Dodecad) @ 1.33
14 93.8% CEU (HapMap) + 6.2% S_Italian (Dodecad) @ 1.36
15 94.5% CEU (HapMap) + 5.5% Turkish (Dodecad) @ 1.39
16 92.1% CEU (HapMap) + 7.9% Ashkenazy_Jews (Behar) @ 1.39
17 93.3% CEU (HapMap) + 6.7% S_Italian_Sicilian (Dodecad) @ 1.4
18 94.1% CEU (HapMap) + 5.9% Sephardic_Jews (Behar) @ 1.42
19 83.8% Orkney (1000 Genomes) + 16.2% Romanians_14 (Behar) @ 1.43
20 92.4% CEU (HapMap) + 7.6% Ashkenazi (Dodecad) @ 1.43


Maternal Grandmother (M203944)


Population
East_European 9.68%
West_European 52.31%
Mediterranean 25.99%
Neo_African -
West_Asian 8.84%
South_Asian 1.58%
Northeast_Asian -
Southeast_Asian -
East_African -
Southwest_Asian 1.51%
Northwest_African -
Palaeo_African -


Single Population Sharing:


# Population (source) Distance
1 CEU (HapMap) 2.74
2 N._European (Xing) 3.82
3 Argyll (1000 Genomes) 4.42
4 Orcadian (HGDP) 4.45
5 Orkney (1000 Genomes) 4.74
6 German (Dodecad) 7.82
7 Mixed_Germanic (Dodecad) 8.78
8 French (HGDP) 9.09
9 French (Dodecad) 9.59
10 Dutch (Dodecad) 9.8
11 Kent (1000 Genomes) 11.97
12 British_Isles (Dodecad) 13.8
13 British (Dodecad) 13.89
14 Cornwall (1000 Genomes) 14.41
15 Slovenian (Xing) 16.26
16 Irish (Dodecad) 16.74
17 Swedish (Dodecad) 17.45
18 Norwegian (Dodecad) 18.12
19 Hungarians (Behar) 20.51
20 French_Basque (HGDP) 20.87

Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 84.5% Orkney (1000 Genomes) + 15.5% Tuscan (Xing) @ 1.1
2 84.4% Orkney (1000 Genomes) + 15.6% TSI (HapMap) @ 1.15
3 84.4% Orkney (1000 Genomes) + 15.6% Tuscan (Henn) @ 1.16
4 92.3% Orkney (1000 Genomes) + 7.7% Cypriots (Behar) @ 1.18
5 90% Orkney (1000 Genomes) + 10% S_Italian_Sicilian (Dodecad) @ 1.19
6 91% Orkney (1000 Genomes) + 9% Sephardic_Jews (Behar) @ 1.21
7 88.6% Orkney (1000 Genomes) + 11.4% Ashkenazi (Dodecad) @ 1.23
8 69.2% British_Isles (Dodecad) + 30.8% Romanians_14 (Behar) @ 1.26
9 76.1% Dutch (Dodecad) + 23.9% Romanians_14 (Behar) @ 1.26
10 75.7% Dutch (Dodecad) + 24.3% Balkans (Dodecad) @ 1.28
11 90.7% Orkney (1000 Genomes) + 9.3% S_Italian (Dodecad) @ 1.28
12 88.3% Orkney (1000 Genomes) + 11.7% Ashkenazy_Jews (Behar) @ 1.3
13 89.4% Orcadian (HGDP) + 10.6% Ashkenazi (Dodecad) @ 1.32
14 85.5% Orcadian (HGDP) + 14.5% Tuscan (Xing) @ 1.34
15 90.1% Orkney (1000 Genomes) + 9.9% Morocco_Jews (Behar) @ 1.34
16 90.7% Orcadian (HGDP) + 9.3% Morocco_Jews (Behar) @ 1.35
17 89% Orcadian (HGDP) + 11% Ashkenazy_Jews (Behar) @ 1.37
18 88.8% Orkney (1000 Genomes) + 11.2% C_Italian (Dodecad) @ 1.37
19 92.9% Orcadian (HGDP) + 7.1% Cypriots (Behar) @ 1.39
20 87% Orkney (1000 Genomes) + 13% O_Italian (Dodecad) @ 1.39


Maternal Grandfather (M211020)

Population
East_European 16.58%
West_European 48.77%
Mediterranean 25.50%
Neo_African -
West_Asian 4.53%
South_Asian 2.77%
Northeast_Asian 0.16%
Southeast_Asian 0.07%
East_African 0.75%
Southwest_Asian -
Northwest_African 0.86%
Palaeo_African -

Single Population Sharing:


# Population (source) Distance
1 German (Dodecad) 5.73
2 CEU (HapMap) 7.55
3 N._European (Xing) 8.52
4 Argyll (1000 Genomes) 8.6
5 Orcadian (HGDP) 8.91
6 Orkney (1000 Genomes) 9.11
7 Slovenian (Xing) 11.12
8 French (Dodecad) 14.03
9 Hungarians (Behar) 14.42
10 French (HGDP) 14.59
11 Mixed_Germanic (Dodecad) 15.49
12 Dutch (Dodecad) 16.3
13 Kent (1000 Genomes) 18.3
14 Swedish (Dodecad) 19.47
15 British_Isles (Dodecad) 19.75
16 British (Dodecad) 20.03
17 Cornwall (1000 Genomes) 20.79
18 Norwegian (Dodecad) 21.24
19 FIN (1000Genomes) 22.12
20 Irish (Dodecad) 22.55

Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 62.5% Orkney (1000 Genomes) + 37.5% Hungarians (Behar) @ 3.48
2 76.9% French (HGDP) + 23.1% Lithuanian (Dodecad) @ 3.53
3 75.9% French (HGDP) + 24.1% Lithuanians (Behar) @ 3.56
4 63.1% Orcadian (HGDP) + 36.9% Hungarians (Behar) @ 3.58
5 86.1% CEU (HapMap) + 13.9% Belorussian (Behar) @ 3.61
6 81.5% CEU (HapMap) + 18.5% Polish (Dodecad) @ 3.64
7 67.9% CEU (HapMap) + 32.1% Hungarians (Behar) @ 3.71
8 82.2% CEU (HapMap) + 17.8% Mixed_Slav (Dodecad) @ 3.8
9 58.6% Hungarians (Behar) + 41.4% British (Dodecad) @ 3.88
10 84.9% German (Dodecad) + 15.1% Portuguese (Dodecad) @ 3.89
11 89.5% German (Dodecad) + 10.5% Sardinian (HGDP) @ 3.91
12 86.1% German (Dodecad) + 13.9% IBS (1000Genomes) @ 3.92
13 58.2% Hungarians (Behar) + 41.8% British_Isles (Dodecad) @ 3.93
14 86.1% German (Dodecad) + 13.9% Spanish (Dodecad) @ 3.96
15 64.5% Argyll (1000 Genomes) + 35.5% Hungarians (Behar) @ 4.01
16 56.3% Hungarians (Behar) + 43.7% Kent (1000 Genomes) @ 4.03
17 87.8% German (Dodecad) + 12.2% North_Italian (HGDP) @ 4.04
18 53.3% Hungarians (Behar) + 46.7% Dutch (Dodecad) @ 4.07
19 59.6% Hungarians (Behar) + 40.4% Cornwall (1000 Genomes) @ 4.08
20 84.8% CEU (HapMap) + 15.2% Russian (Dodecad) @ 4.1

Asimakidis
07-31-2015, 02:38 PM
Admix Results (sorted):

# Population Percent
1 West_Asian 43.51
2 Mediterranean 30.25
3 Southwest_Asian 11.86
4 West_European 8.56
5 East_European 4.29
6 Southeast_Asian 0.62
7 South_Asian 0.49
8 Northeast_Asian 0.23
9 East_African 0.11
10 Neo_African 0.07

Single Population Sharing:

# Population (source) Distance
1 Turkish (Dodecad) 5.92
2 Azerbaijan_Jews (Behar) 8.49
3 Turks (Behar) 8.58
4 Druze (HGDP) 10.34
5 Uzbekistan_Jews (Behar) 10.75
6 Armenian (Dodecad) 11.37
7 Georgia_Jews (Behar) 11.71
8 Iranian_Jews (Behar) 11.81
9 Kurd (Xing) 11.84
10 Iraq_Jews (Behar) 12.27
11 Assyrian (Dodecad) 12.8
12 Kurd (Dodecad) 13.48
13 Armenians_16 (Behar) 14.26
14 Cypriots (Behar) 15.59
15 Lebanese (Behar) 16.69
16 Samaritians (Behar) 16.7
17 Iranian (Dodecad) 17.06
18 Iranians (Behar) 18
19 Palestinian (HGDP) 19.04
20 Ashkenazi (Dodecad) 19.6

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 70.2% Cypriots (Behar) + 29.8% Lezgins (Behar) @ 1.24
2 64.4% Armenian (Dodecad) + 35.6% Ashkenazy_Jews (Behar) @ 2.3
3 58.9% Armenians_16 (Behar) + 41.1% Ashkenazy_Jews (Behar) @ 2.44
4 58.1% Armenians_16 (Behar) + 41.9% Ashkenazi (Dodecad) @ 2.53
5 63.7% Armenian (Dodecad) + 36.3% Ashkenazi (Dodecad) @ 2.65
6 65.4% Cypriots (Behar) + 34.6% Adygei (HGDP) @ 2.86
7 73.5% Armenian (Dodecad) + 26.5% Tuscan (Henn) @ 2.95
8 75.2% Armenian (Dodecad) + 24.8% Romanians_14 (Behar) @ 3.23
9 73.4% Armenian (Dodecad) + 26.6% TSI (HapMap) @ 3.24
10 80.8% Armenian (Dodecad) + 19.2% Hungarians (Behar) @ 3.27
11 80.6% Armenian (Dodecad) + 19.4% Slovenian (Xing) @ 3.36
12 77.9% Armenian (Dodecad) + 22.1% Balkans (Dodecad) @ 3.55
13 77.9% Armenian (Dodecad) + 22.1% N_Italian (Dodecad) @ 3.71
14 72.9% Armenian (Dodecad) + 27.1% O_Italian (Dodecad) @ 3.72
15 82.9% Armenian (Dodecad) + 17.1% French (Dodecad) @ 3.97
16 81.8% Armenian (Dodecad) + 18.2% Portuguese (Dodecad) @ 4
17 83.4% Armenian (Dodecad) + 16.6% German (Dodecad) @ 4.01
18 83.3% Armenian (Dodecad) + 16.7% CEU (HapMap) @ 4.18
19 82.4% Armenian (Dodecad) + 17.6% Spanish (Dodecad) @ 4.19
20 82.2% Armenian (Dodecad) + 17.8% IBS (1000Genomes) @ 4.23


Least-squares method.

Using 1 population approximation:
1 Turkish @ 6.197097
2 Turks @ 9.009250
3 Azerbaijan_Jews @ 9.371653
4 Druze @ 11.477893
5 Uzbekistan_Jews @ 11.891092
6 Armenian @ 12.888544
7 Kurd @ 12.982184
8 Georgia_Jews @ 13.022948
9 Iranian_Jews @ 13.094966
10 Iraq_Jews @ 13.612017
11 Assyrian @ 14.326438
12 Kurd @ 14.758257
13 Armenians_16 @ 16.220453
14 Cypriots @ 17.352747
15 Lebanese @ 18.632921
16 Samaritians @ 18.650528
17 Iranian @ 18.744408
18 Iranians @ 19.708551
19 Palestinian @ 21.154303
20 Syrians @ 21.923326

Using 2 populations approximation:
1 50% Armenians_16 +50% Ashkenazi @ 4.145000


Using 3 populations approximation:
1 50% Armenian +25% Ashkenazy_Jews +25% Turkish @ 2.260551


Using 4 populations approximation:
1 Adygei + Assyrian + Cypriots + S_Italian_Sicilian @ 1.451575
2 Ashkenazy_Jews + Azerbaijan_Jews + Cypriots + Georgians @ 1.933841
3 Assyrian + Cypriots + Georgians + Tuscan @ 1.946588
4 Adygei + Assyrian + Cypriots + Sicilian @ 1.978744
5 Assyrian + Cypriots + Georgians + Tuscan @ 2.005939
6 Adygei + Assyrian + Cypriots + S_Italian @ 2.044922
7 Adygei + Assyrian + C_Italian + Cypriots @ 2.098220
8 Assyrian + Georgians + Lebanese + Tuscan @ 2.099044
9 Ashkenazi + Azerbaijan_Jews + Cypriots + Georgians @ 2.100098
10 Armenian + Armenian + Ashkenazy_Jews + Turkish @ 2.260551
11 C_Italian + Georgians + Samaritians + Turkish @ 2.273588
12 Assyrian + Cypriots + Georgians + TSI @ 2.306669
13 Adygei + Assyrian + Cypriots + Greek @ 2.315176
14 Armenian + Georgians + Syrians + Tuscan @ 2.338519
15 C_Italian + Georgians + Samaritians + Turks @ 2.343476
16 Armenian + Armenian + Ashkenazi + Turkish @ 2.345128
17 Ashkenazi + Cypriots + Georgians + Uzbekistan_Jews @ 2.348227
18 Ashkenazy_Jews + Cypriots + Georgia_Jews + Georgians @ 2.351706
19 Georgians + S_Italian_Sicilian + Samaritians + Turkish @ 2.388352
20 Adygei + Druze + Druze + Greek @ 2.390242

Macura
07-31-2015, 06:12 PM
Admix Results (sorted):

# Population Percent
1 West_European 34.35
2 Mediterranean 27.10
3 East_European 20.93
4 West_Asian 12.67
5 Southwest_Asian 3.43
6 South_Asian 1.24

Using 1 population approximation:
1 Slovenian @ 7.509881
2 Hungarians @ 8.011413
3 Balkans @ 12.622458
4 Romanians_14 @ 14.218436
5 German @ 20.471060
6 Tuscan @ 20.810806
7 Tuscan @ 21.124590
8 TSI @ 21.635637
9 CEU @ 22.697178
10 N._European @ 23.276894
11 N_Italian @ 23.355515
12 Argyll @ 24.150145
13 Orcadian @ 24.902674
14 Orkney @ 25.271694
15 O_Italian @ 25.723495
16 French @ 25.812740
17 French @ 26.127253
18 Ashkenazy_Jews @ 26.819744
19 Mixed_Slav @ 27.177313
20 Polish @ 27.365051

Using 2 populations approximation:
1 50% FIN +50% Greek @ 3.348451


Using 3 populations approximation:
1 50% C_Italian +25% Lithuanian +25% Swedish @ 1.588846


Using 4 populations approximation:
1 Dutch + Greek + Lithuanian + Tuscan @ 1.077674
2 Belorussian + Greek + Swedish + Tuscan @ 1.167948
3 Polish + Romanians_14 + S_Italian_Sicilian + Swedish @ 1.177186
4 Belorussian + Greek + Swedish + TSI @ 1.178180
5 Dutch + Greek + Lithuanian + Tuscan @ 1.189387
6 Greek + Kent + Lithuanian + Tuscan @ 1.223728
7 Mixed_Slav + Romanians_14 + S_Italian_Sicilian + Swedish @ 1.250862
8 Dutch + Greek + Lithuanian + TSI @ 1.276706
9 Polish + Romanians_14 + S_Italian + Swedish @ 1.313036
10 Belorussian + Greek + Swedish + Tuscan @ 1.335689
11 C_Italian + Greek + Lithuanians + Norwegian @ 1.358253
12 Mixed_Slav + Romanians_14 + N._European + Tuscan @ 1.377090
13 Balkans + Mixed_Slav + Norwegian + S_Italian @ 1.379703
14 British_Isles + Greek + Lithuanian + Tuscan @ 1.397977
15 Greek + Kent + Lithuanian + Tuscan @ 1.398089
16 C_Italian + Lithuanian + Argyll + Tuscan @ 1.404609
17 Cornwall + Lithuanians + Romanians_14 + S_Italian_Sicilian @ 1.418145
18 Belorussian + Greek + Norwegian + Tuscan @ 1.421653
19 Irish + Lithuanians + Romanians_14 + S_Italian @ 1.432670
20 British + Greek + Lithuanian + Tuscan @ 1.451496

Macura
07-31-2015, 06:16 PM
I am not sure how can I have more West European than East :\ Ethnic Serb from Croatia with Balkan heritage.

Dorkymon
08-01-2015, 02:03 PM
I am not sure how can I have more West European than East :\ Ethnic Serb from Croatia with Balkan heritage.

Probably the Central European components are included in the West European admixture. I have the same thing and Moldova is even more Eastwards.

Admix Results (sorted):

# Population Percent
1 West_European 31.27
2 Mediterranean 25.76
3 East_European 22.07
4 West_Asian 14.81
5 Southwest_Asian 2.26
6 Southeast_Asian 1.77
7 Northeast_Asian 1.31


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Hungarians @ 9.845621
2 Slovenian @ 10.358085
3 Balkans @ 10.523811
4 Romanians_14 @ 11.974711
5 Tuscan @ 21.695396
6 Tuscan @ 22.307507
7 TSI @ 22.680374
8 German @ 23.914553
9 N_Italian @ 25.345036
10 Ashkenazy_Jews @ 25.899628
11 Mixed_Slav @ 26.216352
12 O_Italian @ 26.304148
13 CEU @ 26.321367
14 N._European @ 26.755033
15 Polish @ 26.938251
16 Argyll @ 27.578871
17 Ashkenazi @ 27.825096
18 Orcadian @ 28.453100
19 Orkney @ 28.819740
20 Tuscan @ 29.427525

Using 2 populations approximation:
1 50% Romanians_14 +50% Slovenian @ 3.759197


Using 3 populations approximation:
1 50% Greek +25% Russian +25% Swedish @ 2.214233


Using 4 populations approximation:
1 Belorussian + North_Italian + Slovenian + Stalskoe @ 1.700942
2 German + Lithuanian + North_Italian + Turkish @ 1.705501
3 Belorussian + French + Hungarians + Turkish @ 1.711167
4 Lithuanians + Spaniards + Turks + Slovenian @ 1.748532
5 German + Lithuanians + N_Italian + Turkish @ 1.778766
6 Belorussian + French + Turkish + Slovenian @ 1.846540
7 Belorussian + French + Turkish + Slovenian @ 1.860126
8 French_Basque + Hungarians + Lithuanians + Turks @ 1.919802
9 German + Lithuanian + North_Italian + Turks @ 1.944537
10 German + Lithuanian + N_Italian + Turkish @ 1.945904
11 German + Lithuanians + North_Italian + Turkish @ 1.957808
12 German + Lithuanians + North_Italian + Turks @ 1.976314
13 French_Basque + Lithuanians + Turks + Slovenian @ 1.984684
14 Balkans + Orkney + Polish + Turkish @ 2.009427
15 Belorussian + French_Basque + Romanians_14 + Stalskoe @ 2.012048
16 Balkans + Orcadian + Polish + Turkish @ 2.016548
17 French_Basque + Lithuanian + Turks + Slovenian @ 2.018149
18 Lithuanians + Romanians_14 + Spaniards + Stalskoe @ 2.019073
19 Belorussian + French + Hungarians + Turkish @ 2.019293
20 Greek + Mixed_Germanic + Romanians_14 + Russian @ 2.029277

khanabadoshi
08-01-2015, 02:38 PM
Dodecad V3

Pakistani (for simplicity's sake)

Population (Sorted)

South_Asian 39.74%
West_Asian 25.52%
West_European 10.79%
Mediterranean 6.42%
East_European 6.07%
Northeast_Asian 3.91%
Southeast_Asian 3.39%
Southwest_Asian 3.40%
Neo_African 0.40%
East_African 0.36%
Northwest_African -
Palaeo_African -

https://i.gyazo.com/91ca5061ef72b1e129de2fa9aedc6c66.png
https://i.gyazo.com/33560b67d0c72eae091a6c6434b3f8b0.png


Oracle 4




Oracle



Oracle 4
Least-squares method.

Using 1 population approximation:

1 Pathan @ 3.083920
2 Kashmiri_Pandit @ 6.070066
3 Burusho @ 6.164038
4 Pakistani @ 6.884644
5 Sindhi @ 7.850230
6 Balochi @ 12.288836
7 Bnei_Menashe_Jews @ 12.875035
8 Brahui @ 13.754103
9 Makrani @ 17.280634
10 Cochin_Jews @ 18.105595
11 Meghawal @ 18.736179
12 Vaish @ 18.915352
13 Kalash @ 19.441765
14 TN_Brahmin @ 22.244350
15 Srivastava @ 23.235043
16 AP_Brahmin @ 23.347881
17 Nepalese @ 23.465776
18 Indian @ 25.850006
19 Velama @ 27.458748
20 Tharu @ 28.353865

Using 2 populations approximation:

1 50% Burusho +50% Pathan @ 2.811397


Using 3 populations approximation:

1 50% Burusho +25% Makrani +25% Pakistani @ 1.919337


Using 4 populations approximation:

1 Balochi + Burusho + Pathan + Pakistani @ 1.518850
2 Brahui + Burusho + Burusho + Pakistani @ 1.598725
3 Balochi + Burusho + Burusho + Pakistani @ 1.672242
4 Balochi + Burusho + Burusho + Pathan @ 1.723862
5 Brahui + Burusho + Pathan + Pakistani @ 1.748080
6 Brahui + Burusho + Burusho + Sindhi @ 1.828945
7 Balochi + Burusho + Pathan + Sindhi @ 1.831119
8 Balochi + Burusho + Burusho + Sindhi @ 1.855490
9 Brahui + Burusho + Burusho + Pathan @ 1.899579
10 Burusho + Burusho + Makrani + Pakistani @ 1.919337
11 Balochi + Burusho + Pathan + Kashmiri_Pandit @ 1.983665
12 Pathan + Urkarah + Meghawal + Velama @ 2.022632
13 Brahui + Burusho + Pathan + Sindhi @ 2.082887
14 Brahui + Burusho + Pathan + Kashmiri_Pandit @ 2.155943
15 Burusho + Pathan + Pathan + Pathan @ 2.177907
16 Kalash + AP_Madiga + Pakistani + Stalskoe @ 2.229054
17 Balochi + Burusho + North_Kannadi + Urkarah @ 2.252773
18 Balochi + Urkarah + Hallaki + Meghawal @ 2.263037
19 Burusho + Burusho + Makrani + Sindhi @ 2.271383
20 Balochi + INS + Urkarah + Meghawal @ 2.293521

dp
09-01-2015, 10:58 PM
Oracle4 results for Dodecad V3 runs of my immediate family. Defaults used. Each kit has its own color to distinguish it from the others, and was used throughout the runs. The runs are for the Gaussian method, using defaults, and were generated by Admix4.

[I don't see a thread specific to this calculator. The one in Open Source Projects seems to be largely a discussion thread]

5750575157525753
My Dodecad World9 runs are here (http://www.anthrogenica.com/showthread.php?2469-Dodecad-World9-results-(Gedmatch)&p=105739&viewfull=1#post105739)
My Eurogenes K13 runs are here (http://www.anthrogenica.com/showthread.php?3539-Eurogenes-K13-Results&p=105770&viewfull=1#post105770)
My Eurogenes V2 EUtest K15 runs are here (http://www.anthrogenica.com/showthread.php?3527-Post-your-Eurogenes-V2-K15-results&p=105852&viewfull=1#post105852)

Stephen1986
09-02-2015, 12:52 AM
My results -

West_European 68.46%
Mediterranean 22.73%
West_Asian 6.40%
East_European 1.76%
South_Asian 0.45%
Northwest_African 0.20%

Using 1 population approximation:
1 Irish @ 2.732579
2 Cornwall @ 3.165281
3 British @ 3.421448
4 British_Isles @ 3.504302
5 Kent @ 5.313777
6 Dutch @ 7.767272
7 Mixed_Germanic @ 9.938682
8 Norwegian @ 11.531176
9 Swedish @ 14.924232
10 Orkney @ 15.252454
11 Orcadian @ 15.602109
12 Argyll @ 16.315554
13 N._European @ 17.082409
14 CEU @ 17.640787
15 French @ 20.039953
16 French @ 21.032179
17 German @ 21.936426
18 French_Basque @ 28.536579
19 FIN @ 35.093735
20 Slovenian @ 35.469650

Using 2 populations approximation:
1 50% Cornwall +50% Irish @ 2.386561


Using 3 populations approximation:
1 50% Cornwall +25% Irish +25% Irish @ 2.386561


Using 4 populations approximation:
1 Cornwall + Cornwall + Irish + Irish @ 2.386561
2 Cornwall + Irish + Irish + Irish @ 2.419799
3 British + Cornwall + Irish + Irish @ 2.436346
4 British + Irish + Irish + Irish @ 2.464183
5 British_Isles + Cornwall + Irish + Irish @ 2.467871
6 British + British + Irish + Irish @ 2.509341
7 British_Isles + Irish + Irish + Irish @ 2.536667
8 British + British_Isles + Irish + Irish @ 2.555271
9 Irish + Irish + Irish + Kent @ 2.579956
10 British_Isles + British_Isles + Irish + Irish @ 2.621894
11 Cornwall + Cornwall + Cornwall + Irish @ 2.667473
12 British_Isles + Cornwall + Cornwall + Irish @ 2.696141
13 Cornwall + Irish + Irish + Kent @ 2.696447
14 British + Cornwall + Cornwall + Irish @ 2.706001
15 Irish + Irish + Irish + Irish @ 2.732579
16 British + British + Cornwall + Irish @ 2.769900
17 British + British_Isles + Cornwall + Irish @ 2.774364
18 British + Irish + Irish + Kent @ 2.781406
19 British_Isles + British_Isles + Cornwall + Irish @ 2.798960
20 British_Isles + Irish + Irish + Kent @ 2.830856

My brother's results (his Oracle is more Continental) -

West_European 60.25%
Mediterranean 24.77%
West_Asian 7.71%
East_European 4.55%
South_Asian 1.44%
Southwest_Asian 0.73%
Northwest_African 0.55%



Using 1 population approximation:
1 Dutch @ 2.130246
2 Mixed_Germanic @ 3.902932
3 Kent @ 4.061808
4 British @ 6.101459
5 British_Isles @ 6.203784
6 Cornwall @ 6.608110
7 Orkney @ 7.628653
8 Orcadian @ 7.873881
9 Argyll @ 8.632254
10 N._European @ 9.079848
11 CEU @ 9.318061
12 Irish @ 9.521657
13 French @ 12.365918
14 French @ 13.465328
15 Norwegian @ 14.361567
16 German @ 14.863466
17 Swedish @ 15.617645
18 French_Basque @ 23.638916
19 Slovenian @ 27.232231
20 Portuguese @ 29.564085

Using 2 populations approximation:
1 50% Dutch +50% Dutch @ 2.130246


Using 3 populations approximation:
1 50% Cornwall +25% French +25% Argyll @ 1.583207


Using 4 populations approximation:
1 Cornwall + French + Irish + Argyll @ 1.294076
2 British + French + Irish + Argyll @ 1.389361
3 British_Isles + French + Irish + Argyll @ 1.444977
4 French + Irish + Mixed_Germanic + Mixed_Germanic @ 1.482946
5 Cornwall + French + Irish + N._European @ 1.485964
6 Dutch + French + Irish + Mixed_Germanic @ 1.488864
7 Dutch + French + Irish + Mixed_Germanic @ 1.510176
8 French + Irish + Irish + Argyll @ 1.513601
9 French + Irish + Kent + Argyll @ 1.542329
10 Cornwall + French + Irish + Orkney @ 1.544875
11 British + French + Irish + N._European @ 1.559582
12 CEU + French + Irish + Irish @ 1.563237
13 British_Isles + French + Irish + N._European @ 1.571997
14 British_Isles + French + Kent + Mixed_Germanic @ 1.575222
15 British_Isles + Dutch + French + Mixed_Germanic @ 1.579643
16 Cornwall + French + Irish + Orcadian @ 1.580974
17 Cornwall + Cornwall + French + Argyll @ 1.583207
18 British_Isles + British_Isles + French + Mixed_Germanic @ 1.595847
19 French + Irish + Mixed_Germanic + Mixed_Germanic @ 1.616759
20 British + French + Irish + Orkney @ 1.622287

randwulf
09-02-2015, 03:40 AM
Me:

Population
East_European 9.24%
West_European 49.19%
Mediterranean 28.85%
Neo_African -
West_Asian 8.35%
South_Asian 0.26%
Northeast_Asian 0.63%
Southeast_Asian -
East_African -
Southwest_Asian 2.36%
Northwest_African 0.97%
Palaeo_African 0.14%

Least-squares method.

Using 1 population approximation:
1 CEU @ 6.348778
2 French @ 8.001936
3 N._European @ 8.082537
4 French @ 8.250482
5 Orcadian @ 8.711238
6 Argyll @ 8.972340
7 Orkney @ 9.125158
8 German @ 11.031699
9 Mixed_Germanic @ 13.454276
10 Dutch @ 14.306337
11 Kent @ 16.627693
12 Slovenian @ 17.027153
13 British @ 18.704908
14 British_Isles @ 18.752327
15 Cornwall @ 19.225639
16 French_Basque @ 20.545235
17 Portuguese @ 21.058384
18 Hungarians @ 21.385269
19 Irish @ 22.095657
20 Spaniards @ 22.185448

Using 2 populations approximation:
1 50% N_Italian +50% Swedish @ 1.270987


Using 3 populations approximation:
1 50% N_Italian +25% Swedish +25% Swedish @ 1.270987


Using 4 populations approximation:
1 French_Basque + Greek + Swedish + Swedish @ 1.072249
2 Cornwall + Romanians_14 + Spaniards + Swedish @ 1.086045
3 IBS + Irish + Romanians_14 + Swedish @ 1.136721
4 French + German + Swedish + Tuscan @ 1.142537
5 CEU + N_Italian + N._European + N._European @ 1.144062
6 IBS + Irish + Norwegian + Romanians_14 @ 1.148145
7 North_Italian + N._European + N._European + N._European @ 1.170753
8 Cornwall + Norwegian + Portuguese + Romanians_14 @ 1.196442
9 Mixed_Germanic + Spaniards + N._European + Slovenian @ 1.201649
10 French + German + Swedish + Tuscan @ 1.209434
11 IBS + Mixed_Germanic + Mixed_Germanic + Slovenian @ 1.216807
12 N_Italian + Orkney + N._European + N._European @ 1.221963
13 N_Italian + N._European + N._European + N._European @ 1.232763
14 N_Italian + Orcadian + N._European + N._European @ 1.237321
15 Cornwall + IBS + Norwegian + Romanians_14 @ 1.253009
16 Irish + Romanians_14 + Spaniards + Swedish @ 1.257789
17 French + German + Norwegian + O_Italian @ 1.260413
18 British + Romanians_14 + Spaniards + Swedish @ 1.261196
19 N_Italian + N_Italian + Swedish + Swedish @ 1.270987
20 Irish + Romanians_14 + Spanish + Swedish @ 1.279319

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 77.2% N._European (Xing) + 22.8% North_Italian (HGDP) @ 0.88
2 74.2% N._European (Xing) + 25.8% N_Italian (Dodecad) @ 1.15
3 50.3% N_Italian (Dodecad) + 49.7% Swedish (Dodecad) @ 1.18
4 82.8% CEU (HapMap) + 17.2% O_Italian (Dodecad) @ 1.43
5 81.3% N._European (Xing) + 18.7% Sardinian (HGDP) @ 1.48
6 76.8% Orkney (1000 Genomes) + 23.2% O_Italian (Dodecad) @ 1.55
7 83.9% CEU (HapMap) + 16.1% Tuscan (HGDP) @ 1.56
8 85.5% CEU (HapMap) + 14.5% C_Italian (Dodecad) @ 1.6
9 83% Orkney (1000 Genomes) + 17% Sicilian (Dodecad) @ 1.64
10 77.7% Orcadian (HGDP) + 22.3% O_Italian (Dodecad) @ 1.64
11 79.7% CEU (HapMap) + 20.3% TSI (HapMap) @ 1.65
12 88.7% CEU (HapMap) + 11.3% Sephardic_Jews (Behar) @ 1.66
13 87.8% CEU (HapMap) + 12.2% Sicilian (Dodecad) @ 1.67
14 84.9% Orcadian (HGDP) + 15.1% Sephardic_Jews (Behar) @ 1.68
15 73.6% Orcadian (HGDP) + 26.4% Tuscan (Henn) @ 1.68
16 80.1% Orkney (1000 Genomes) + 19.9% C_Italian (Dodecad) @ 1.69
17 87.3% CEU (HapMap) + 12.7% S_Italian_Sicilian (Dodecad) @ 1.7
18 72.7% Orkney (1000 Genomes) + 27.3% Tuscan (Henn) @ 1.7
19 83.7% Orcadian (HGDP) + 16.3% Sicilian (Dodecad) @ 1.71
20 84.3% Orkney (1000 Genomes) + 15.7% Sephardic_Jews (Behar) @ 1.77


Dad:

Population
East_European 9.81%
West_European 47.54%
Mediterranean 27.86%
Neo_African -
West_Asian 9.71%
South_Asian 0.62%
Northeast_Asian 1.56%
Southeast_Asian -
East_African -
Southwest_Asian 1.77%
Northwest_African 0.86%
Palaeo_African 0.17%

Least-squares method.

Using 1 population approximation:
1 CEU @ 7.488863
2 N._European @ 8.764982
3 Argyll @ 9.696427
4 Orcadian @ 9.874635
5 French @ 9.985911
6 Orkney @ 10.284455
7 French @ 10.391850
8 German @ 11.088578
9 Mixed_Germanic @ 14.543879
10 Slovenian @ 15.383007
11 Dutch @ 15.772493
12 Kent @ 18.139046
13 Hungarians @ 19.899349
14 British @ 20.257460
15 British_Isles @ 20.270514
16 Cornwall @ 20.745495
17 Portuguese @ 21.757244
18 French_Basque @ 22.385759
19 N_Italian @ 22.640141
20 Tuscan @ 22.919178

Using 2 populations approximation:
1 50% N_Italian +50% Swedish @ 3.325706


Using 3 populations approximation:
1 50% CEU +25% Argyll +25% Tuscan @ 1.667044


Using 4 populations approximation:
1 C_Italian + FIN + French + Kent @ 1.355560
2 C_Italian + Dutch + FIN + French @ 1.371136
3 FIN + Irish + N_Italian + TSI @ 1.533575
4 FIN + French + Irish + S_Italian @ 1.563537
5 FIN + French + Irish + Sicilian @ 1.573531
6 FIN + French + Irish + S_Italian @ 1.575538
7 C_Italian + Cornwall + FIN + French @ 1.611004
8 British + C_Italian + FIN + French @ 1.627524
9 C_Italian + FIN + French + Mixed_Germanic @ 1.660667
10 Cornwall + FIN + French + Sicilian @ 1.663736
11 CEU + CEU + Argyll + Tuscan @ 1.667044
12 C_Italian + FIN + French + Kent @ 1.688073
13 French + Kent + Romanians_14 + N._European @ 1.696795
14 CEU + CEU + CEU + Tuscan @ 1.704793
15 British_Isles + C_Italian + FIN + French @ 1.719534
16 FIN + Irish + North_Italian + TSI @ 1.732859
17 Dutch + French + Romanians_14 + N._European @ 1.734889
18 FIN + Irish + N_Italian + Tuscan @ 1.736196
19 O_Italian + Argyll + Argyll + N._European @ 1.736671
20 Irish + N_Italian + Norwegian + Romanians_14 @ 1.750737

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 81.6% Argyll (1000 Genomes) + 18.4% Sicilian (Dodecad) @ 1.64
2 76% CEU (HapMap) + 24% Tuscan (Xing) @ 1.75
3 86.6% CEU (HapMap) + 13.4% Sephardic_Jews (Behar) @ 1.75
4 80.8% Orkney (1000 Genomes) + 19.2% Sicilian (Dodecad) @ 1.77
5 82.8% Orcadian (HGDP) + 17.2% Sephardic_Jews (Behar) @ 1.78
6 75.1% Argyll (1000 Genomes) + 24.9% O_Italian (Dodecad) @ 1.8
7 78.6% Argyll (1000 Genomes) + 21.4% C_Italian (Dodecad) @ 1.81
8 84.9% CEU (HapMap) + 15.1% S_Italian_Sicilian (Dodecad) @ 1.82
9 78.4% N._European (Xing) + 21.6% Tuscan (HGDP) @ 1.82
10 85.4% CEU (HapMap) + 14.6% Sicilian (Dodecad) @ 1.82
11 86% CEU (HapMap) + 14% S_Italian (Dodecad) @ 1.83
12 82.3% Orkney (1000 Genomes) + 17.7% Sephardic_Jews (Behar) @ 1.84
13 81.5% Orcadian (HGDP) + 18.5% Sicilian (Dodecad) @ 1.88
14 81.1% Argyll (1000 Genomes) + 18.9% S_Italian_Sicilian (Dodecad) @ 1.89
15 83.1% Argyll (1000 Genomes) + 16.9% Sephardic_Jews (Behar) @ 1.9
16 82.4% Argyll (1000 Genomes) + 17.6% S_Italian (Dodecad) @ 1.91
17 70.8% Argyll (1000 Genomes) + 29.2% Tuscan (Xing) @ 1.91
18 81.5% Orkney (1000 Genomes) + 18.5% S_Italian (Dodecad) @ 1.93
19 80.2% Orkney (1000 Genomes) + 19.8% S_Italian_Sicilian (Dodecad) @ 1.93
20 69.6% Orkney (1000 Genomes) + 30.4% Tuscan (Xing) @ 1.97

Mom:

Population
East_European 11.12%
West_European 50.36%
Mediterranean 28.15%
Neo_African -
West_Asian 9.18%
South_Asian 0.08%
Northeast_Asian -
Southeast_Asian -
East_African -
Southwest_Asian -
Northwest_African 1.11%
Palaeo_African -

Least-squares method.

Using 1 population approximation:
1 CEU @ 4.864080
2 Orcadian @ 7.124200
3 N._European @ 7.194192
4 Argyll @ 7.210919
5 Orkney @ 7.622549
6 German @ 9.275868
7 French @ 9.771690
8 French @ 10.100662
9 Mixed_Germanic @ 12.792677
10 Dutch @ 13.932447
11 Kent @ 16.192154
12 Slovenian @ 16.215410
13 British_Isles @ 18.299458
14 British @ 18.390747
15 Cornwall @ 18.949795
16 Hungarians @ 20.563948
17 Irish @ 21.672325
18 French_Basque @ 22.021414
19 Swedish @ 22.118237
20 Portuguese @ 23.108059

Using 2 populations approximation:
1 50% N_Italian +50% Swedish @ 3.375255


Using 3 populations approximation:
1 50% German +25% Mixed_Germanic +25% N_Italian @ 2.200562


Using 4 populations approximation:
1 N_Italian + Argyll + Argyll + Argyll @ 1.853013
2 Balkans + Cornwall + French + Orcadian @ 1.871565
3 Balkans + Cornwall + French + Orkney @ 1.875261
4 Balkans + Cornwall + French + Argyll @ 1.892811
5 Balkans + French + Irish + Orcadian @ 1.942118
6 Balkans + British_Isles + French + Orcadian @ 1.953163
7 Balkans + British_Isles + French + Orkney @ 1.953497
8 Balkans + British + French + Orkney @ 1.955115
9 Balkans + British + French + Orcadian @ 1.967730
10 Balkans + French + Kent + Mixed_Germanic @ 1.969036
11 German + N_Italian + Argyll + Argyll @ 1.978142
12 German + N_Italian + Orkney + Argyll @ 1.989075
13 Balkans + British + French + Argyll @ 1.999349
14 Balkans + French + Irish + Argyll @ 2.004987
15 Balkans + French + Irish + Orkney @ 2.005793
16 Balkans + French + Kent + Mixed_Germanic @ 2.010319
17 Balkans + British_Isles + French + Argyll @ 2.013394
18 N_Italian + Orkney + Argyll + Argyll @ 2.019532
19 German + N_Italian + Orcadian + Argyll @ 2.023574
20 N_Italian + Orcadian + Argyll + Argyll @ 2.035141

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 77.8% Argyll (1000 Genomes) + 22.2% N_Italian (Dodecad) @ 1.48
2 86.3% Orcadian (HGDP) + 13.7% Greek (Dodecad) @ 1.5
3 90.6% CEU (HapMap) + 9.4% Greek (Dodecad) @ 1.62
4 82.7% Argyll (1000 Genomes) + 17.3% Tuscan (HGDP) @ 1.63
5 85.5% Orkney (1000 Genomes) + 14.5% Greek (Dodecad) @ 1.64
6 86.9% Orcadian (HGDP) + 13.1% Sicilian (Dodecad) @ 1.71
7 88.3% CEU (HapMap) + 11.7% Tuscan (HGDP) @ 1.72
8 80.6% Argyll (1000 Genomes) + 19.4% North_Italian (HGDP) @ 1.75
9 89.4% CEU (HapMap) + 10.6% C_Italian (Dodecad) @ 1.76
10 91.4% CEU (HapMap) + 8.6% S_Italian (Dodecad) @ 1.77
11 91.1% CEU (HapMap) + 8.9% Sicilian (Dodecad) @ 1.78
12 87.3% Orcadian (HGDP) + 12.7% S_Italian (Dodecad) @ 1.81
13 84.6% Orcadian (HGDP) + 15.4% C_Italian (Dodecad) @ 1.82
14 87.7% CEU (HapMap) + 12.3% O_Italian (Dodecad) @ 1.84
15 84.9% CEU (HapMap) + 15.1% N_Italian (Dodecad) @ 1.84
16 86.1% Orkney (1000 Genomes) + 13.9% Sicilian (Dodecad) @ 1.91
17 90.9% CEU (HapMap) + 9.1% S_Italian_Sicilian (Dodecad) @ 1.93
18 83.2% Orcadian (HGDP) + 16.8% Tuscan (HGDP) @ 1.93
19 82.3% Orcadian (HGDP) + 17.7% O_Italian (Dodecad) @ 1.97
20 83.8% Orkney (1000 Genomes) + 16.2% C_Italian (Dodecad) @ 1.99

Wife:

Population
East_European 10.63%
West_European 50.32%
Mediterranean 25.79%
Neo_African 0.22%
West_Asian 8.67%
South_Asian -
Northeast_Asian 0.53%
Southeast_Asian -
East_African -
Southwest_Asian 2.89%
Northwest_African 0.94%
Palaeo_African -

Least-squares method.

Using 1 population approximation:
1 CEU @ 4.495755
2 N._European @ 5.142761
3 Argyll @ 6.515795
4 Orcadian @ 6.811149
5 Orkney @ 7.143953
6 German @ 8.130529
7 French @ 10.841440
8 French @ 11.208364
9 Mixed_Germanic @ 11.732199
10 Dutch @ 13.096027
11 Kent @ 15.522985
12 Slovenian @ 15.957510
13 British_Isles @ 17.502047
14 British @ 17.599903
15 Cornwall @ 18.190966
16 Swedish @ 20.525930
17 Irish @ 20.714794
18 Hungarians @ 20.747051
19 Norwegian @ 21.641953
20 French_Basque @ 23.691795

Using 2 populations approximation:
1 50% N_Italian +50% Swedish @ 3.792347


Using 3 populations approximation:
1 50% Norwegian +25% Tuscan +25% Slovenian @ 1.257369


Using 4 populations approximation:
1 German + Norwegian + O_Italian + N._European @ 1.020386
2 British_Isles + German + German + Tuscan @ 1.076114
3 CEU + German + Norwegian + O_Italian @ 1.090263
4 German + Norwegian + O_Italian + Argyll @ 1.100482
5 British + Hungarians + Norwegian + Tuscan @ 1.111483
6 German + O_Italian + Orkney + Swedish @ 1.133074
7 German + Norwegian + O_Italian + Orkney @ 1.141716
8 German + Norwegian + O_Italian + Orcadian @ 1.169772
9 British_Isles + German + German + Tuscan @ 1.174002
10 German + O_Italian + Orcadian + Swedish @ 1.177763
11 Hungarians + Irish + Norwegian + O_Italian @ 1.192156
12 Cornwall + Hungarians + Norwegian + Tuscan @ 1.201143
13 British_Isles + Hungarians + Norwegian + Tuscan @ 1.206262
14 Dutch + FIN + French + TSI @ 1.208956
15 FIN + French + Kent + Tuscan @ 1.210796
16 British + German + German + Tuscan @ 1.232027
17 British + German + German + Tuscan @ 1.232972
18 FIN + French + Kent + TSI @ 1.245759
19 Hungarians + Kent + Norwegian + Tuscan @ 1.250998
20 Norwegian + Norwegian + Tuscan + Slovenian @ 1.257369

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 93.2% CEU (HapMap) + 6.8% Jordanians_19 (Behar) @ 0.9
2 93% CEU (HapMap) + 7% Palestinian (HGDP) @ 0.96
3 93.1% CEU (HapMap) + 6.9% Lebanese (Behar) @ 1
4 93.3% CEU (HapMap) + 6.7% Samaritians (Behar) @ 1.01
5 93.3% CEU (HapMap) + 6.7% Syrians (Behar) @ 1.04
6 93.8% CEU (HapMap) + 6.2% Bedouin (HGDP) @ 1.17
7 91.1% CEU (HapMap) + 8.9% Morocco_Jews (Behar) @ 1.22
8 93% CEU (HapMap) + 7% Egypt (Henn) @ 1.22
9 90.2% N._European (Xing) + 9.8% Sicilian (Dodecad) @ 1.26
10 88.5% N._European (Xing) + 11.5% C_Italian (Dodecad) @ 1.27
11 87.5% N._European (Xing) + 12.5% Tuscan (HGDP) @ 1.28
12 89.5% CEU (HapMap) + 10.5% Ashkenazy_Jews (Behar) @ 1.28
13 86.7% N._European (Xing) + 13.3% O_Italian (Dodecad) @ 1.29
14 93.2% CEU (HapMap) + 6.8% Georgia_Jews (Behar) @ 1.3
15 89.9% CEU (HapMap) + 10.1% Ashkenazi (Dodecad) @ 1.34
16 93.6% CEU (HapMap) + 6.4% Egyptans (Behar) @ 1.37
17 86.9% Orcadian (HGDP) + 13.1% Morocco_Jews (Behar) @ 1.37
18 93.5% CEU (HapMap) + 6.5% Druze (HGDP) @ 1.37
19 86.3% Orkney (1000 Genomes) + 13.7% Morocco_Jews (Behar) @ 1.38
20 93.6% CEU (HapMap) + 6.4% Iraq_Jews (Behar) @ 1.39

Father-in-law:

Population
East_European 11.23%
West_European 51.96%
Mediterranean 24.79%
Neo_African 0.51%
West_Asian 7.84%
South_Asian -
Northeast_Asian 0.58%
Southeast_Asian -
East_African -
Southwest_Asian 1.30%
Northwest_African 1.55%
Palaeo_African 0.24%

Least-squares method.

Using 1 population approximation:
1 CEU @ 2.724874
2 N._European @ 3.491462
3 Argyll @ 4.297367
4 Orcadian @ 4.739259
5 Orkney @ 5.026556
6 German @ 6.678108
7 Mixed_Germanic @ 10.478745
8 French @ 11.778016
9 Dutch @ 11.832810
10 French @ 12.110014
11 Kent @ 14.190498
12 British_Isles @ 16.061928
13 British @ 16.259604
14 Slovenian @ 16.671997
15 Cornwall @ 16.938332
16 Swedish @ 18.481688
17 Irish @ 19.272137
18 Norwegian @ 19.668858
19 Hungarians @ 21.383745
20 French_Basque @ 24.376528

Using 2 populations approximation:
1 50% Cornwall +50% Slovenian @ 2.626230


Using 3 populations approximation:
1 50% CEU +25% Dutch +25% Slovenian @ 1.944849


Using 4 populations approximation:
1 Balkans + Cornwall + French + Swedish @ 1.766686
2 Balkans + British + French + Swedish @ 1.797860
3 Balkans + British_Isles + Kent + N._European @ 1.807917
4 FIN + Mixed_Germanic + Mixed_Germanic + North_Italian @ 1.808730
5 Balkans + British + British + N._European @ 1.814008
6 Balkans + British + British_Isles + N._European @ 1.818051
7 Balkans + British_Isles + British_Isles + N._European @ 1.825512
8 Balkans + British + Kent + N._European @ 1.833827
9 Balkans + British_Isles + French + Swedish @ 1.840355
10 British + French + German + Slovenian @ 1.847972
11 British_Isles + French + German + Slovenian @ 1.858816
12 Balkans + British_Isles + British_Isles + CEU @ 1.877604
13 Cornwall + French + German + Slovenian @ 1.878413
14 FIN + Mixed_Germanic + Mixed_Germanic + N_Italian @ 1.879557
15 Balkans + British + British_Isles + CEU @ 1.882063
16 French + German + Kent + Slovenian @ 1.883760
17 Mixed_Germanic + Portuguese + Swedish + Slovenian @ 1.901439
18 Balkans + CEU + Dutch + Irish @ 1.906384
19 Balkans + French + Irish + Swedish @ 1.909641
20 Balkans + British_Isles + French + Norwegian @ 1.910585

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 96.5% CEU (HapMap) + 3.5% Sahara_OCC (Henn) @ 1.26
2 95.9% CEU (HapMap) + 4.1% Algeria (Henn) @ 1.27
3 93.5% Argyll (1000 Genomes) + 6.5% North_African (Dodecad) @ 1.29
4 97.5% CEU (HapMap) + 2.5% Mozabite (Henn) @ 1.3
5 96.4% CEU (HapMap) + 3.6% Morocco_S (Henn) @ 1.3
6 97.5% CEU (HapMap) + 2.5% Mozabite (HGDP) @ 1.31
7 96.6% CEU (HapMap) + 3.4% Moroccans (Behar) @ 1.33
8 96.2% CEU (HapMap) + 3.8% Libya (Henn) @ 1.36
9 95.9% CEU (HapMap) + 4.1% Morocco_N (Henn) @ 1.37
10 96.5% CEU (HapMap) + 3.5% TUNISIA (Henn) @ 1.44
11 96.3% CEU (HapMap) + 3.7% North_African (Dodecad) @ 1.44
12 93% Argyll (1000 Genomes) + 7% Morocco_N (Henn) @ 1.44
13 93.3% Argyll (1000 Genomes) + 6.7% Algeria (Henn) @ 1.49
14 92.9% Orcadian (HGDP) + 7.1% Libya (Henn) @ 1.52
15 92.6% Orcadian (HGDP) + 7.4% Algeria (Henn) @ 1.53
16 94% Argyll (1000 Genomes) + 6% TUNISIA (Henn) @ 1.54
17 96.7% CEU (HapMap) + 3.3% Yemenese (Behar) @ 1.55
18 96.5% CEU (HapMap) + 3.5% Egypt (Henn) @ 1.55
19 94.4% Argyll (1000 Genomes) + 5.6% Moroccans (Behar) @ 1.59
20 96.8% CEU (HapMap) + 3.2% Egyptans (Behar) @ 1.62

Jessie
09-02-2015, 04:14 AM
Here's mine. I guess Argyll makes sense as it was settled by Gaels. Irish at 17 not so much.

Admix Results (sorted):

# Population Percent
1 West_European 55.75
2 Mediterranean 22.7
3 East_European 12.84
4 West_Asian 7.79
5 Southwest_Asian 0.44
6 Northeast_Asian 0.33
7 South_Asian 0.15

Single Population Sharing:

# Population (source) Distance
1 Argyll (1000 Genomes) 1.47
2 Orkney (1000 Genomes) 2.56
3 Orcadian (HGDP) 2.63
4 N._European (Xing) 2.92
5 CEU (HapMap) 3.59
6 German (Dodecad) 4.88
7 Mixed_Germanic (Dodecad) 7.83
8 Dutch (Dodecad) 9.17
9 Kent (1000 Genomes) 11.04
10 British_Isles (Dodecad) 12.39
11 British (Dodecad) 12.81
12 Swedish (Dodecad) 12.81
13 French (HGDP) 13.51
14 Cornwall (1000 Genomes) 13.51
15 French (Dodecad) 13.82
16 Norwegian (Dodecad) 14.12
17 Irish (Dodecad) 15.06
18 Slovenian (Xing) 16.83
19 Hungarians (Behar) 20.99
20 FIN (1000Genomes) 22.14

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 96.2% Argyll (1000 Genomes) + 3.8% Finnish (Dodecad) @ 0.78
2 94.7% Argyll (1000 Genomes) + 5.3% FIN (1000Genomes) @ 0.78
3 97.9% Argyll (1000 Genomes) + 2.1% Lithuanian (Dodecad) @ 0.94
4 97.8% Argyll (1000 Genomes) + 2.2% Lithuanians (Behar) @ 0.94
5 81.3% Argyll (1000 Genomes) + 18.7% German (Dodecad) @ 0.98
6 97.6% Argyll (1000 Genomes) + 2.4% Russian (HGDP) @ 1.03
7 97.9% Argyll (1000 Genomes) + 2.1% Belorussian (Behar) @ 1.09
8 97.3% Argyll (1000 Genomes) + 2.7% Polish (Dodecad) @ 1.1
9 97.4% Argyll (1000 Genomes) + 2.6% Mixed_Slav (Dodecad) @ 1.12
10 62% German (Dodecad) + 38% Mixed_Germanic (Dodecad) @ 1.17
11 98.4% Argyll (1000 Genomes) + 1.6% Chuvashs_16 (Behar) @ 1.24
12 94.3% Argyll (1000 Genomes) + 5.7% Swedish (Dodecad) @ 1.25
13 79.7% Dutch (Dodecad) + 20.3% Mixed_Slav (Dodecad) @ 1.26
14 69.9% German (Dodecad) + 30.1% Kent (1000 Genomes) @ 1.26
15 58.3% Irish (Dodecad) + 41.7% Hungarians (Behar) @ 1.26
16 93.2% Orcadian (HGDP) + 6.8% Finnish (Dodecad) @ 1.27
17 65.8% German (Dodecad) + 34.2% Dutch (Dodecad) @ 1.29
18 93.5% Orkney (1000 Genomes) + 6.5% Finnish (Dodecad) @ 1.35
19 79.4% Dutch (Dodecad) + 20.6% Polish (Dodecad) @ 1.36
20 97.6% Argyll (1000 Genomes) + 2.4% Hungarians (Behar) @ 1.38

Using 2 populations approximation:
1 50% Argyll +50% Argyll @ 1.570250


Using 3 populations approximation:
1 50% German +25% Mixed_Germanic +25% Orcadian @ 0.880220


Using 4 populations approximation:
1 German + German + Mixed_Germanic + Orcadian @ 0.880220
2 German + German + Mixed_Germanic + Argyll @ 0.887177
3 German + German + Mixed_Germanic + Orkney @ 0.896190
4 Dutch + German + German + Argyll @ 1.087378
5 German + Argyll + Argyll + Argyll @ 1.119728
6 German + German + Kent + Argyll @ 1.162126
7 German + Orkney + Argyll + Argyll @ 1.176629
8 German + Hungarians + Irish + Kent @ 1.236427
9 German + Orcadian + Argyll + Argyll @ 1.245063
10 CEU + Hungarians + Kent + Norwegian @ 1.303219
11 British_Isles + British_Isles + German + Hungarians @ 1.324639
12 Dutch + German + German + Orcadian @ 1.326830
13 CEU + German + German + Mixed_Germanic @ 1.332659
14 German + Orkney + Orkney + Argyll @ 1.348879
15 Hungarians + Mixed_Germanic + Norwegian + Orcadian @ 1.350129
16 Dutch + German + German + Orkney @ 1.363977
17 British_Isles + German + Hungarians + Irish @ 1.366527
18 Dutch + Hungarians + Norwegian + Orcadian @ 1.404119
19 Hungarians + Mixed_Germanic + Norwegian + Orkney @ 1.404485
20 German + Orcadian + Orkney + Argyll @ 1.404889

My mother

Admix Results (sorted):

# Population Percent
1 West_European 54.55
2 Mediterranean 24.3
3 East_European 11.67
4 West_Asian 7.98
5 South_Asian 1.43
6 Southwest_Asian 0.06

Single Population Sharing:

# Population (source) Distance
1 Argyll (1000 Genomes) 1.43
2 CEU (HapMap) 1.99
3 Orcadian (HGDP) 2.06
4 Orkney (1000 Genomes) 2.24
5 N._European (Xing) 2.68
6 German (Dodecad) 5.82
7 Mixed_Germanic (Dodecad) 7.99
8 Dutch (Dodecad) 9.09
9 Kent (1000 Genomes) 11.11
10 French (HGDP) 11.61
11 French (Dodecad) 11.95
12 British_Isles (Dodecad) 12.7
13 British (Dodecad) 12.99
14 Cornwall (1000 Genomes) 13.64
15 Swedish (Dodecad) 14.72
16 Irish (Dodecad) 15.55
17 Norwegian (Dodecad) 15.7
18 Slovenian (Xing) 16.57
19 Hungarians (Behar) 20.72
20 French_Basque (HGDP) 22.78

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 96.9% Orcadian (HGDP) + 3.1% Balochi (HGDP) @ 0.83
2 96.9% Orcadian (HGDP) + 3.1% Brahui (HGDP) @ 0.84
3 97.2% Orcadian (HGDP) + 2.8% Kalash (HGDP) @ 0.84
4 96.8% Orcadian (HGDP) + 3.2% Pathan (HGDP) @ 0.87
5 96.9% Orcadian (HGDP) + 3.1% Makrani (HGDP) @ 0.87
6 97% Orcadian (HGDP) + 3% Kashmiri_Pandit (Reich) @ 0.88
7 96.1% Argyll (1000 Genomes) + 3.9% N_Italian (Dodecad) @ 0.91
8 96.6% Argyll (1000 Genomes) + 3.4% North_Italian (HGDP) @ 0.93
9 97% Argyll (1000 Genomes) + 3% Tuscan (HGDP) @ 0.93
10 97% Orcadian (HGDP) + 3% Pakistani (Xing) @ 0.93
11 97.1% Orcadian (HGDP) + 2.9% Sindhi (HGDP) @ 0.95
12 97.6% Argyll (1000 Genomes) + 2.4% Greek (Dodecad) @ 0.96
13 97.4% Argyll (1000 Genomes) + 2.6% C_Italian (Dodecad) @ 0.98
14 97.8% Argyll (1000 Genomes) + 2.2% Sicilian (Dodecad) @ 0.98
15 97% Argyll (1000 Genomes) + 3% O_Italian (Dodecad) @ 0.98
16 97% Orcadian (HGDP) + 3% Burusho (HGDP) @ 0.99
17 97.9% Argyll (1000 Genomes) + 2.1% S_Italian (Dodecad) @ 0.99
18 97.7% Argyll (1000 Genomes) + 2.3% S_Italian_Sicilian (Dodecad) @ 1.01
19 97% Argyll (1000 Genomes) + 3% Romanians_14 (Behar) @ 1.01
20 97.4% Argyll (1000 Genomes) + 2.6% Sardinian (HGDP)

Admix Results (sorted):

# Population Percent
1 West_European 54.55
2 Mediterranean 24.30
3 East_European 11.67
4 West_Asian 7.98
5 South_Asian 1.43


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Argyll @ 1.535461
2 CEU @ 2.164015
3 Orcadian @ 2.273614
4 Orkney @ 2.475574
5 N._European @ 2.935289
6 German @ 6.424292
7 Mixed_Germanic @ 8.854604
8 Dutch @ 10.073667
9 Kent @ 12.334026
10 French @ 12.772262
11 French @ 13.165826
12 British_Isles @ 14.107820
13 British @ 14.416919
14 Cornwall @ 15.137771
15 Swedish @ 16.331881
16 Irish @ 17.275829
17 Norwegian @ 17.459055
18 Slovenian @ 18.404331
19 Hungarians @ 22.990721
20 French_Basque @ 25.110489

Using 2 populations approximation:
1 50% CEU +50% Argyll @ 1.170297


Using 3 populations approximation:
1 50% CEU +25% Argyll +25% Argyll @ 1.170297


Using 4 populations approximation:
1 CEU + Argyll + Argyll + Argyll @ 1.125148
2 CEU + CEU + Argyll + Argyll @ 1.170297
3 Dutch + Hungarians + Kent + Argyll @ 1.308211
4 CEU + Argyll + Argyll + N._European @ 1.332748
5 CEU + Orcadian + Argyll + Argyll @ 1.337553
6 Dutch + Hungarians + Kent + Orkney @ 1.349539
7 Dutch + Hungarians + Kent + Orcadian @ 1.353246
8 CEU + Orkney + Argyll + Argyll @ 1.377786
9 Cornwall + Orcadian + Orcadian + Slovenian @ 1.392163
10 Cornwall + Orcadian + Orkney + Slovenian @ 1.395744
11 Dutch + Dutch + Hungarians + Orkney @ 1.419875
12 British + Orcadian + Orcadian + Slovenian @ 1.422038
13 Hungarians + Kent + Kent + Argyll @ 1.428832
14 Cornwall + Orkney + Orkney + Slovenian @ 1.435692
15 Kent + Orcadian + Orkney + Slovenian @ 1.435860
16 British + Orcadian + Orkney + Slovenian @ 1.440885
17 Dutch + Dutch + Hungarians + Orcadian @ 1.441843
18 CEU + CEU + Orkney + Argyll @ 1.442227
19 Kent + Orkney + Orkney + Slovenian @ 1.444221
20 British_Isles + Orcadian + Orcadian + Slovenian @ 1.452193

Daughter

Admix Results (sorted):

# Population Percent
1 West_European 55.45
2 Mediterranean 24.75
3 East_European 11.7
4 West_Asian 6.95
5 Southeast_Asian 0.61
6 Southwest_Asian 0.46
7 East_African 0.08

Single Population Sharing:

# Population (source) Distance
1 Orcadian (HGDP) 1.11
2 Orkney (1000 Genomes) 1.41
3 Argyll (1000 Genomes) 1.77
4 CEU (HapMap) 1.9
5 N._European (Xing) 3.01
6 German (Dodecad) 5.99
7 Mixed_Germanic (Dodecad) 7.73
8 Dutch (Dodecad) 8.61
9 Kent (1000 Genomes) 10.54
10 French (HGDP) 11.43
11 French (Dodecad) 11.67
12 British_Isles (Dodecad) 12.07
13 British (Dodecad) 12.38
14 Cornwall (1000 Genomes) 13.08
15 Swedish (Dodecad) 14.21
16 Irish (Dodecad) 14.98
17 Norwegian (Dodecad) 15.07
18 Slovenian (Xing) 17.27
19 Hungarians (Behar) 21.31
20 French_Basque (HGDP) 22.28

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 95.4% Orcadian (HGDP) + 4.6% Slovenian (Xing) @ 0.73
2 96.2% Orcadian (HGDP) + 3.8% Hungarians (Behar) @ 0.74
3 97.9% Orcadian (HGDP) + 2.1% Mixed_Slav (Dodecad) @ 0.77
4 98.4% Orcadian (HGDP) + 1.6% Belorussian (Behar) @ 0.78
5 97.8% Orcadian (HGDP) + 2.2% Polish (Dodecad) @ 0.78
6 97.6% Orcadian (HGDP) + 2.4% Balkans (Dodecad) @ 0.78
7 88.3% Orcadian (HGDP) + 11.7% German (Dodecad) @ 0.79
8 98.2% Orcadian (HGDP) + 1.8% Russian (Dodecad) @ 0.8
9 96.5% Orkney (1000 Genomes) + 3.5% Balkans (Dodecad) @ 0.82
10 98.6% Orcadian (HGDP) + 1.4% Lithuanians (Behar) @ 0.83
11 98.6% Orcadian (HGDP) + 1.4% Lithuanian (Dodecad) @ 0.83
12 98.4% Orcadian (HGDP) + 1.6% Russian (HGDP) @ 0.84
13 97.9% Orcadian (HGDP) + 2.1% Romanians_14 (Behar) @ 0.84
14 99.4% Orcadian (HGDP) + 0.6% Lahu (HGDP) @ 0.85
15 99.4% Orcadian (HGDP) + 0.6% Iban (Xing) @ 0.85
16 99.4% Orcadian (HGDP) + 0.6% Dai (HGDP) @ 0.86
17 95% Orkney (1000 Genomes) + 5% Hungarians (Behar) @ 0.86
18 99.3% Orcadian (HGDP) + 0.7% Cambodians (HGDP) @ 0.86
19 99.4% Orcadian (HGDP) + 0.6% Miaozu (HGDP) @ 0.86
20 99.4% Orcadian (HGDP) + 0.6% CHS (SGVP) @ 0.86

Using 2 populations approximation:
1 50% CEU +50% Orkney @ 1.018040


Using 3 populations approximation:
1 50% CEU +25% Orkney +25% Orkney @ 1.018040


Using 4 populations approximation:
1 CEU + Orcadian + Orcadian + Orkney @ 0.903244
2 CEU + Orcadian + Orcadian + Orcadian @ 0.911846
3 CEU + Orcadian + Orcadian + Argyll @ 0.947716
4 CEU + Orkney + Orkney + Argyll @ 0.964075
5 CEU + Orcadian + Orkney + Argyll @ 0.969004
6 CEU + Orcadian + Orkney + Orkney @ 0.991058
7 CEU + CEU + Orkney + Orkney @ 1.018040
8 CEU + CEU + Orcadian + Orkney @ 1.038351
9 CEU + Orkney + Orkney + Orkney @ 1.056722
10 CEU + CEU + Orkney + Argyll @ 1.072176
11 CEU + CEU + Orcadian + Orcadian @ 1.075877
12 Orcadian + Orcadian + Orcadian + N._European @ 1.086355
13 CEU + CEU + Orcadian + Argyll @ 1.094131
14 CEU + Orcadian + Argyll + Argyll @ 1.132774
15 Orcadian + Orcadian + Orcadian + Argyll @ 1.148549
16 CEU + Orcadian + Orcadian + N._European @ 1.151967
17 Orcadian + Orcadian + Orcadian + Orcadian @ 1.158611
18 CEU + Orkney + Argyll + Argyll @ 1.178635
19 Orcadian + Orcadian + Orkney + Argyll @ 1.184440
20 CEU + Orcadian + Orkney + N._European @ 1.206748

Mestace
09-02-2015, 11:35 AM
Admix Results (sorted):

# Population Percent
1 West_European 45.79
2 Mediterranean 33.87
3 East_European 9.50
4 West_Asian 8.39
5 Southwest_Asian 1.64


Least-squares method.

Using 1 population approximation:
1 French @ 8.051027
2 French @ 8.490770
3 CEU @ 11.727421
4 Orcadian @ 14.009427
5 N._European @ 14.018791
6 Orkney @ 14.493748
7 Argyll @ 14.510611
8 German @ 15.637795
9 Portuguese @ 16.508904
10 Spaniards @ 17.327362
11 N_Italian @ 17.467691
12 Slovenian @ 17.587505
13 French_Basque @ 17.717216
14 IBS @ 18.324879
15 Spanish @ 18.359514
16 Mixed_Germanic @ 18.956839
17 Dutch @ 19.481306
18 Tuscan @ 20.208084
19 TSI @ 20.393299
20 Tuscan @ 20.766748

Using 2 populations approximation:
1 50% N_Italian +50% Orkney @ 2.247058


Using 3 populations approximation:
1 50% German +25% N_Italian +25% Spaniards @ 1.414786


Using 4 populations approximation:
1 German + North_Italian + North_Italian + Swedish @ 0.586430

dp
09-02-2015, 09:02 PM
Admix Results (sorted):

# Population Percent
1 West_European 45.79
2 Mediterranean 33.87
3 East_European 9.50
4 West_Asian 8.39
5 Southwest_Asian 1.64


Least-squares method.

Using 1 population approximation:
1 French @ 8.051027
2 French @ 8.490770
3 CEU @ 11.727421
4 Orcadian @ 14.009427
5 N._European @ 14.018791
6 Orkney @ 14.493748
7 Argyll @ 14.510611
8 German @ 15.637795
9 Portuguese @ 16.508904
10 Spaniards @ 17.327362
11 N_Italian @ 17.467691
12 Slovenian @ 17.587505
13 French_Basque @ 17.717216
14 IBS @ 18.324879
15 Spanish @ 18.359514
16 Mixed_Germanic @ 18.956839
17 Dutch @ 19.481306
18 Tuscan @ 20.208084
19 TSI @ 20.393299
20 Tuscan @ 20.766748

Using 2 populations approximation:
1 50% N_Italian +50% Orkney @ 2.247058


Using 3 populations approximation:
1 50% German +25% N_Italian +25% Spaniards @ 1.414786


Using 4 populations approximation:
1 German + North_Italian + North_Italian + Swedish @ 0.586430


Welcome to Anthogenica.
dp :-)

Dorkymon
09-02-2015, 11:48 PM
# Population Percent
1 West_European 31.27
2 Mediterranean 25.76
3 East_European 22.07
4 West_Asian 14.81
5 Southwest_Asian 2.26
6 Southeast_Asian 1.77
7 Northeast_Asian 1.31

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Hungarians @ 9.845621
2 Slovenian @ 10.358085
3 Balkans @ 10.523811
4 Romanians_14 @ 11.974711
5 Tuscan @ 21.695396
6 Tuscan @ 22.307507
7 TSI @ 22.680374
8 German @ 23.914553
9 N_Italian @ 25.345036
10 Ashkenazy_Jews @ 25.899628
11 Mixed_Slav @ 26.216352
12 O_Italian @ 26.304148
13 CEU @ 26.321367
14 N._European @ 26.755033
15 Polish @ 26.938251
16 Argyll @ 27.578871
17 Ashkenazi @ 27.825096
18 Orcadian @ 28.453100
19 Orkney @ 28.819740
20 Tuscan @ 29.427525

Using 2 populations approximation:
1 50% Romanians_14 +50% Slovenian @ 3.759197


Using 3 populations approximation:
1 50% Greek +25% Russian +25% Swedish @ 2.214233


Using 4 populations approximation:
1 Belorussian + North_Italian + Slovenian + Stalskoe @ 1.700942
2 German + Lithuanian + North_Italian + Turkish @ 1.705501
3 Belorussian + French + Hungarians + Turkish @ 1.711167
4 Lithuanians + Spaniards + Turks + Slovenian @ 1.748532
5 German + Lithuanians + N_Italian + Turkish @ 1.778766
6 Belorussian + French + Turkish + Slovenian @ 1.846540
7 Belorussian + French + Turkish + Slovenian @ 1.860126
8 French_Basque + Hungarians + Lithuanians + Turks @ 1.919802
9 German + Lithuanian + North_Italian + Turks @ 1.944537
10 German + Lithuanian + N_Italian + Turkish @ 1.945904
11 German + Lithuanians + North_Italian + Turkish @ 1.957808
12 German + Lithuanians + North_Italian + Turks @ 1.976314
13 French_Basque + Lithuanians + Turks + Slovenian @ 1.984684
14 Balkans + Orkney + Polish + Turkish @ 2.009427
15 Belorussian + French_Basque + Romanians_14 + Stalskoe @ 2.012048
16 Balkans + Orcadian + Polish + Turkish @ 2.016548
17 French_Basque + Lithuanian + Turks + Slovenian @ 2.018149
18 Lithuanians + Romanians_14 + Spaniards + Stalskoe @ 2.019073
19 Belorussian + French + Hungarians + Turkish @ 2.019293
20 Greek + Mixed_Germanic + Romanians_14 + Russian @ 2.029277

SwampThing27
09-03-2015, 02:34 AM
# Population Percent
1 West_European 50.68
2 Mediterranean 27.44
3 East_European 9.40
4 West_Asian 8.06
5 South_Asian 2.45

Gray Fox
09-03-2015, 03:36 AM
As per usual, I'd have to say that I feel the 23&me data is more accurate.

Ftdna:

Admix Results (sorted):

# Population Percent
1 West_European 52.39
2 Mediterranean 25.83
3 East_European 10.48
4 West_Asian 8.1
5 Southwest_Asian 1.32
6 South_Asian 1.22
7 Palaeo_African 0.36
8 Neo_African 0.3


Least-squares method.

Using 1 population approximation:
1 CEU @ 2.108189
2 N._European @ 3.760946
3 Argyll @ 4.313212
4 Orcadian @ 4.348445
5 Orkney @ 4.699151
6 German @ 7.669798
7 Mixed_Germanic @ 10.038339
8 French @ 10.494531
9 French @ 10.880107
10 Dutch @ 11.125261
11 Kent @ 13.528136
12 British_Isles @ 15.500381
13 British @ 15.637527
14 Cornwall @ 16.279219
15 Slovenian @ 17.535900
16 Irish @ 18.777277
17 Swedish @ 18.925110
18 Norwegian @ 19.851757
19 Hungarians @ 22.176821
20 French_Basque @ 23.235918

Using 2 populations approximation:
1 50% CEU +50% CEU @ 2.108189


Using 3 populations approximation:
1 50% British_Isles +25% Orkney +25% Romanians_14 @ 1.296495


Using 4 populations approximation:
1 Dutch + French + Argyll + Slovenian @ 0.837361
2 Dutch + French + Orkney + Slovenian @ 0.952786
3 French + Kent + Argyll + Slovenian @ 1.005613
4 French + Kent + N._European + Slovenian @ 1.024857
5 French + Mixed_Germanic + Orkney + Slovenian @ 1.042179
6 Dutch + French + Orcadian + Slovenian @ 1.047124
7 Dutch + French + N._European + Slovenian @ 1.081809
8 Dutch + French + Argyll + Slovenian @ 1.085328
9 N_Italian + Swedish + Argyll + N._European @ 1.104043
10 French + Kent + Argyll + Slovenian @ 1.111276
11 Balkans + British + British + CEU @ 1.126064
12 Cornwall + French + Hungarians + N._European @ 1.127316
13 N_Italian + Swedish + Argyll + Argyll @ 1.130005
14 Dutch + French + Hungarians + Mixed_Germanic @ 1.142194
15 Balkans + British + CEU + Cornwall @ 1.146934
16 French + Kent + N._European + Slovenian @ 1.147534
17 Dutch + French + Hungarians + Mixed_Germanic @ 1.160283
18 French + Mixed_Germanic + Orcadian + Slovenian @ 1.180625
19 French + Hungarians + Mixed_Germanic + Mixed_Germanic @ 1.187564
20 Balkans + CEU + Cornwall + Cornwall @ 1.188595

23&me:

Admix Results (sorted):

# Population Percent
1 West_European 52.34
2 Mediterranean 25.78
3 East_European 10.94
4 West_Asian 7.98
5 Southwest_Asian 1.47
6 South_Asian 1.17
7 Neo_African 0.21
8 Northwest_African 0.12


Least-squares method.

Using 1 population approximation:
1 CEU @ 2.003326
2 N._European @ 3.662174
3 Argyll @ 4.243006
4 Orcadian @ 4.318700
5 Orkney @ 4.677088
6 German @ 7.212108
7 Mixed_Germanic @ 10.289433
8 French @ 10.796933
9 French @ 11.104317
10 Dutch @ 11.395184
11 Kent @ 13.794728
12 British_Isles @ 15.738079
13 British @ 15.898305
14 Cornwall @ 16.555975
15 Slovenian @ 17.176186
16 Swedish @ 18.840292
17 Irish @ 19.005358
18 Norwegian @ 19.857323
19 Hungarians @ 21.801611
20 French_Basque @ 23.442968

Using 2 populations approximation:
1 50% CEU +50% CEU @ 2.003326


Using 3 populations approximation:
1 50% French +25% Swedish +25% Slovenian @ 1.332697


Using 4 populations approximation:
1 Dutch + French + Argyll + Slovenian @ 0.812378
2 Dutch + French + Argyll + Slovenian @ 0.891158
3 Cornwall + French + Hungarians + N._European @ 0.892473
4 Balkans + British + British + CEU @ 0.893157
5 French + Mixed_Germanic + Orkney + Slovenian @ 0.899628
6 British_Isles + French + Hungarians + N._European @ 0.902850
7 Cornwall + French + German + Slovenian @ 0.903662
8 French + Mixed_Germanic + Orkney + Slovenian @ 0.920502
9 British + French + Hungarians + N._European @ 0.940053
10 French + Mixed_Germanic + Argyll + Slovenian @ 0.958543
11 French + Hungarians + Irish + N._European @ 0.977715
12 French + Irish + Romanians_14 + Swedish @ 0.982236
13 Dutch + French + N._European + Slovenian @ 0.989703
14 British + French + German + Slovenian @ 0.994382
15 Dutch + French + Orkney + Slovenian @ 0.997652
16 Balkans + French + Kent + Norwegian @ 1.010080
17 Balkans + British + British_Isles + CEU @ 1.010425
18 French + Hungarians + Mixed_Germanic + Mixed_Germanic @ 1.011102
19 Balkans + British + CEU + Cornwall @ 1.012305
20 German + N_Italian + Norwegian + Argyll @ 1.018832

BalkanKiwi
09-03-2015, 04:02 AM
23andMe

# Population Percent
1 West_European 46.96
2 Mediterranean 26.32
3 East_European 13.02
4 West_Asian 9.91
5 Southwest_Asian 1.98
6 South_Asian 1.81


Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 61.4% Dutch (Dodecad) + 38.6% Balkans (Dodecad) @ 1.46
2 55% Cornwall (1000 Genomes) + 45% Balkans (Dodecad) @ 1.59
3 76.8% N._European (Xing) + 23.2% Romanians_14 (Behar) @ 1.67
4 55.7% British (Dodecad) + 44.3% Balkans (Dodecad) @ 1.69
5 73.5% German (Dodecad) + 26.5% TSI (HapMap) @ 1.77
6 58.2% Kent (1000 Genomes) + 41.8% Balkans (Dodecad) @ 1.81
7 53.2% Irish (Dodecad) + 46.8% Romanians_14 (Behar) @ 1.83
8 77.5% German (Dodecad) + 22.5% O_Italian (Dodecad) @ 1.85
9 73.6% German (Dodecad) + 26.4% Tuscan (Xing) @ 1.85
10 56.7% British_Isles (Dodecad) + 43.3% Romanians_14 (Behar) @ 1.89
11 55.9% British_Isles (Dodecad) + 44.1% Balkans (Dodecad) @ 1.96
12 73.5% German (Dodecad) + 26.5% Tuscan (Henn) @ 1.98
13 78.9% CEU (HapMap) + 21.1% Romanians_14 (Behar) @ 1.99
14 52.4% Irish (Dodecad) + 47.6% Balkans (Dodecad) @ 2.03
15 62.2% Dutch (Dodecad) + 37.8% Romanians_14 (Behar) @ 2.03
16 73.3% Orkney (1000 Genomes) + 26.7% Romanians_14 (Behar) @ 2.05
17 80.6% German (Dodecad) + 19.4% C_Italian (Dodecad) @ 2.05
18 75.2% Argyll (1000 Genomes) + 24.8% Romanians_14 (Behar) @ 2.11
19 56.5% British (Dodecad) + 43.5% Romanians_14 (Behar) @ 2.19
20 74.1% Orcadian (HGDP) + 25.9% Romanians_14 (Behar) @ 2.19

Using 2 populations approximation:
1 50% Balkans +50% Irish @ 2.530980


Using 3 populations approximation:
1 50% Kent +25% Romanians_14 +25% Slovenian @ 1.600950


Using 4 populations approximation:
1 British + Dutch + Romanians_14 + Slovenian @ 1.370353
2 Cornwall + Dutch + Romanians_14 + Slovenian @ 1.459606
3 Dutch + Kent + Romanians_14 + Slovenian @ 1.463729
4 British_Isles + Dutch + Romanians_14 + Slovenian @ 1.501897
5 Hungarians + Norwegian + O_Italian + Argyll @ 1.571136
6 Kent + Kent + Romanians_14 + Slovenian @ 1.600950
7 Orkney + Romanians_14 + N._European + N._European @ 1.607596
8 Dutch + Dutch + Romanians_14 + Slovenian @ 1.609210
9 CEU + Mixed_Germanic + Romanians_14 + N._European @ 1.612139
10 British + Cornwall + Hungarians + Romanians_14 @ 1.617181
11 Orcadian + Romanians_14 + N._European + N._European @ 1.622787
12 Cornwall + Cornwall + Hungarians + Romanians_14 @ 1.624760
13 Cornwall + Kent + Mixed_Slav + O_Italian @ 1.628380
14 C_Italian + Cornwall + Irish + Polish @ 1.634482
15 British + C_Italian + Irish + Polish @ 1.642048
16 Cornwall + Hungarians + Kent + Romanians_14 @ 1.642381
17 Swedish + Tuscan + Argyll + Slovenian @ 1.649300

FTDNA

# Population Percent
1 West_European 47.49
2 Mediterranean 26.06
3 East_European 12.65
4 West_Asian 9.68
5 Southwest_Asian 2.25
6 South_Asian 1.55
7 Northwest_African 0.27
8 Neo_African 0.04


Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 63% Dutch (Dodecad) + 37% Balkans (Dodecad) @ 1.37
2 78.7% N._European (Xing) + 21.3% Romanians_14 (Behar) @ 1.51
3 56.4% Cornwall (1000 Genomes) + 43.6% Balkans (Dodecad) @ 1.51
4 57.1% British (Dodecad) + 42.9% Balkans (Dodecad) @ 1.58
5 74.6% German (Dodecad) + 25.4% TSI (HapMap) @ 1.63
6 54.5% Irish (Dodecad) + 45.5% Romanians_14 (Behar) @ 1.75
7 59.7% Kent (1000 Genomes) + 40.3% Balkans (Dodecad) @ 1.77
8 74.7% German (Dodecad) + 25.3% Tuscan (Xing) @ 1.78
9 58.1% British_Isles (Dodecad) + 41.9% Romanians_14 (Behar) @ 1.84
10 74.6% German (Dodecad) + 25.4% Tuscan (Henn) @ 1.84
11 57.3% British_Isles (Dodecad) + 42.7% Balkans (Dodecad) @ 1.87
12 78.6% German (Dodecad) + 21.4% O_Italian (Dodecad) @ 1.89
13 53.8% Irish (Dodecad) + 46.2% Balkans (Dodecad) @ 1.91
14 84.4% N._European (Xing) + 15.6% Greek (Dodecad) @ 1.96
15 63.8% Dutch (Dodecad) + 36.2% Romanians_14 (Behar) @ 2
16 80.8% CEU (HapMap) + 19.2% Romanians_14 (Behar) @ 2.06
17 65.3% Mixed_Germanic (Dodecad) + 34.7% Balkans (Dodecad) @ 2.13
18 57.9% British (Dodecad) + 42.1% Romanians_14 (Behar) @ 2.14
19 81.6% German (Dodecad) + 18.4% C_Italian (Dodecad) @ 2.19
20 75.1% Orkney (1000 Genomes) + 24.9% Romanians_14 (Behar) @ 2.19

Using 2 populations approximation:
1 50% Balkans +50% Irish @ 2.836855


Using 3 populations approximation:
1 50% German +25% Argyll +25% Tuscan @ 1.157909


Using 4 populations approximation:
1 Dutch + Romanians_14 + N._European + N._European @ 1.137378
2 German + German + Argyll + Tuscan @ 1.157909
3 CEU + Dutch + Romanians_14 + N._European @ 1.226503
4 Cornwall + Cornwall + Mixed_Slav + O_Italian @ 1.261889
5 British + Cornwall + Mixed_Slav + O_Italian @ 1.285877
6 British + Dutch + Romanians_14 + Slovenian @ 1.287443
7 Cornwall + Dutch + Romanians_14 + Slovenian @ 1.296018
8 German + German + Orkney + Tuscan @ 1.301957
9 C_Italian + Cornwall + Irish + Polish @ 1.310703
10 CEU + Mixed_Germanic + Romanians_14 + N._European @ 1.325367
11 German + German + Orcadian + Tuscan @ 1.340815
12 British + Kent + Romanians_14 + Slovenian @ 1.358879
13 British + British + Mixed_Slav + O_Italian @ 1.361185
14 German + German + Argyll + Tuscan @ 1.363501
15 British_Isles + Cornwall + Mixed_Slav + O_Italian @ 1.367884
16 CEU + Hungarians + Norwegian + TSI @ 1.378169
17 C_Italian + Irish + Irish + Polish @ 1.379299
18 O_Italian + Orkney + Swedish + Slovenian @ 1.385524
19 British + C_Italian + Irish + Polish @ 1.385898
20 German + German + TSI + Argyll @ 1.386528

dragonsmoke
09-03-2015, 07:08 PM
Kit A217338

Admix Results (sorted):

# Population Percent
1 Neo_African 49.6
2 Palaeo_African 28.36
3 East_African 8.74
4 West_European 5.49
5 Mediterranean 2.78
6 Northwest_African 2.21
7 Southeast_Asian 0.82
8 Northeast_Asian 0.65
9 South_Asian 0.49
10 West_Asian 0.47
11 East_European 0.39

Single Population Sharing:

# Population (source) Distance
1 ASW (HapMap) 6.75
2 LWK (HapMap) 10.75
3 Kaba (Henn) 10.92
4 Luhya (Henn) 11.08
5 Luhya (Xing) 11.73
6 Hausa (Henn) 12.22
7 Kongo (Henn) 12.59
8 Bamoun (Henn) 12.79
9 Mada (Henn) 13.09
10 Brong (Henn) 13.34
11 Fang (Henn) 13.56
12 Igbo (Henn) 13.59
13 Nguni (Xing) 15.26
14 Pedi (Xing) 15.59
15 Bambaran (Xing) 15.71
16 Dogon (Xing) 17.91
17 Xhosa (Henn) 18.31
18 Yoruba (Henn) 19.88
19 Alur (Xing) 20.02
20 Sotho_Tswana (Xing) 21.39

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 66% ASW (HapMap) + 34% Kongo (Henn) @ 2.12
2 66.4% ASW (HapMap) + 33.6% Bamoun (Henn) @ 2.19
3 62.8% ASW (HapMap) + 37.2% Kaba (Henn) @ 2.34
4 68% ASW (HapMap) + 32% Fang (Henn) @ 2.46
5 65.8% ASW (HapMap) + 34.2% Hausa (Henn) @ 2.67
6 62.7% ASW (HapMap) + 37.3% LWK (HapMap) @ 2.69
7 68.4% ASW (HapMap) + 31.6% Igbo (Henn) @ 2.8
8 68.1% ASW (HapMap) + 31.9% Brong (Henn) @ 2.86
9 87.3% Bamoun (Henn) + 12.7% N._European (Xing) @ 3.28
10 87.3% Bamoun (Henn) + 12.7% CEU (HapMap) @ 3.33
11 87.5% Bamoun (Henn) + 12.5% French (HGDP) @ 3.37
12 87.4% Bamoun (Henn) + 12.6% Argyll (1000 Genomes) @ 3.39
13 64.4% ASW (HapMap) + 35.6% Luhya (Henn) @ 3.39
14 87.5% Bamoun (Henn) + 12.5% Orkney (1000 Genomes) @ 3.41
15 87.5% Bamoun (Henn) + 12.5% Orcadian (HGDP) @ 3.42
16 71.9% ASW (HapMap) + 28.1% Nguni (Xing) @ 3.45
17 87.3% Bamoun (Henn) + 12.7% German (Dodecad) @ 3.51
18 87.2% Bamoun (Henn) + 12.8% Portuguese (Dodecad) @ 3.53
19 87.7% Bamoun (Henn) + 12.3% Mixed_Germanic (Dodecad) @ 3.54
20 87.8% Bamoun (Henn) + 12.2% Dutch (Dodecad) @ 3.58


Oracle 4

Admix Results (sorted):

# Population Percent
1 Neo_African 49.60
2 Palaeo_African 28.36
3 East_African 8.74
4 West_European 5.49
5 Mediterranean 2.78
6 Northwest_African 2.21


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 ASW @ 6.576401
2 Kaba @ 10.498199
3 LWK @ 10.641348
4 Kongo @ 11.062304
5 Hausa @ 11.150120
6 Luhya @ 11.356984
7 Bamoun @ 11.383274
8 Fang @ 11.646040
9 Luhya @ 11.782367
10 Brong @ 12.033471
11 Igbo @ 12.186614
12 Nguni @ 12.772382
13 Pedi @ 12.889359
14 Mada @ 13.725225
15 Bambaran @ 13.985531
16 Xhosa @ 14.992270
17 Dogon @ 15.783800
18 Sotho_Tswana @ 17.134348
19 Yoruba @ 17.523979
20 Alur @ 18.135435

Using 2 populations approximation:
1 50% ASW +50% Kaba @ 3.143403


Using 3 populations approximation:
1 50% ASW +25% Mandenka +25% Alur @ 2.655539


Using 4 populations approximation:
1 ASW + ASW + Mandenka + Alur @ 2.655539
2 ASW + ASW + Igbo + Luhya @ 2.662884
3 ASW + ASW + Hausa + Pedi @ 2.701367
4 ASW + ASW + LWK + Kongo @ 2.719592
5 ASW + ASW + LWK + Hausa @ 2.744427
6 ASW + ASW + Kaba + Kongo @ 2.746998
7 ASW + ASW + Bamoun + LWK @ 2.747226
8 ASW + ASW + Fang + Kaba @ 2.765612
9 ASW + ASW + Igbo + Luhya @ 2.766118
10 ASW + ASW + Bamoun + Luhya @ 2.768270
11 ASW + ASW + Kongo + Luhya @ 2.770340
12 ASW + ASW + LWK + Igbo @ 2.776104
13 ASW + ASW + Hausa + Nguni @ 2.785416
14 ASW + ASW + Hausa + Luhya @ 2.787545
15 ASW + ASW + Yoruba + Alur @ 2.788702
16 ASW + ASW + Brong + Luhya @ 2.795357
17 ASW + ASW + Bamoun + Luhya @ 2.805806
18 ASW + ASW + Mandenka + Alur @ 2.846164
19 ASW + ASW + LWK + Brong @ 2.848622
20 ASW + ASW + Yoruba + Alur @ 2.853859

Asimakidis
09-10-2015, 07:34 PM
My father's results (50 greek thracian/50%pontic greek)

Admix Results (sorted):

# Population Percent
1 West_Asian 34.87
2 Mediterranean 30.23
3 West_European 14.24
4 Southwest_Asian 10.83
5 East_European 7.92
6 South_Asian 1.41
7 Northeast_Asian 0.27
8 East_African 0.13
9 Neo_African 0.09
10 Southeast_Asian 0.01

Single Population Sharing:

# Population (source) Distance
1 Turkish (Dodecad) 9.77
2 Ashkenazi (Dodecad) 11.87
3 Ashkenazy_Jews (Behar) 12.02
4 Uzbekistan_Jews (Behar) 12.7
5 Turks (Behar) 14.38
6 Morocco_Jews (Behar) 14.65
7 Azerbaijan_Jews (Behar) 14.9
8 Kurd (Xing) 15.07
9 Georgia_Jews (Behar) 15.23
10 Druze (HGDP) 16
11 Kurd (Dodecad) 16.05
12 Greek (Dodecad) 16.16
13 Iranian_Jews (Behar) 16.62
14 S_Italian_Sicilian (Dodecad) 16.73
15 Cypriots (Behar) 17.49
16 Iraq_Jews (Behar) 17.56
17 S_Italian (Dodecad) 17.84
18 Lebanese (Behar) 18.01
19 Stalskoe (Xing) 18.06
20 Sephardic_Jews (Behar) 18.22

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 62.3% Azerbaijan_Jews (Behar) + 37.7% Romanians_14 (Behar) @ 3.82
2 71.2% Turkish (Dodecad) + 28.8% Tuscan (Henn) @ 4.21
3 56.1% Turkish (Dodecad) + 43.9% Ashkenazy_Jews (Behar) @ 4.25
4 53% Assyrian (Dodecad) + 47% Romanians_14 (Behar) @ 4.28
5 66.9% Azerbaijan_Jews (Behar) + 33.1% Balkans (Dodecad) @ 4.35
6 56.4% Sephardic_Jews (Behar) + 43.6% Urkarah (Xing) @ 4.37
7 55% Ashkenazy_Jews (Behar) + 45% Turks (Behar) @ 4.4
8 71.1% Turkish (Dodecad) + 28.9% TSI (HapMap) @ 4.41
9 55.9% Turkish (Dodecad) + 44.1% Ashkenazi (Dodecad) @ 4.5
10 63.8% Armenian (Dodecad) + 36.2% Hungarians (Behar) @ 4.51
11 71.8% Azerbaijan_Jews (Behar) + 28.2% Hungarians (Behar) @ 4.54
12 67.5% Ashkenazy_Jews (Behar) + 32.5% Armenians_16 (Behar) @ 4.54
13 63.3% Assyrian (Dodecad) + 36.7% Hungarians (Behar) @ 4.59
14 55.5% Ashkenazi (Dodecad) + 44.5% Turks (Behar) @ 4.6
15 76.9% Ashkenazy_Jews (Behar) + 23.1% Georgians (Behar) @ 4.65
16 63.5% Armenian (Dodecad) + 36.5% Slovenian (Xing) @ 4.76
17 77.2% Ashkenazi (Dodecad) + 22.8% Georgians (Behar) @ 4.8
18 61.5% Turks (Behar) + 38.5% Tuscan (Henn) @ 4.81
19 83.6% Turkish (Dodecad) + 16.4% French (Dodecad) @ 4.92
20 50.9% Cypriots (Behar) + 49.1% Stalskoe (Xing) @ 4.96

Least-squares method.

Using 1 population approximation:
1 Turkish @ 10.700184
2 Ashkenazi @ 13.397224
3 Ashkenazy_Jews @ 13.613920
4 Uzbekistan_Jews @ 14.060834
5 Turks @ 15.867180
6 Morocco_Jews @ 16.432970
7 Azerbaijan_Jews @ 16.667679
8 Kurd @ 16.715361
9 Georgia_Jews @ 16.933823
10 Kurd @ 17.761074
11 Druze @ 17.827320
12 Greek @ 17.980600
13 Iranian_Jews @ 18.499334
14 S_Italian_Sicilian @ 18.619385
15 Cypriots @ 19.367861
16 Iraq_Jews @ 19.570026
17 Stalskoe @ 19.674677
18 S_Italian @ 19.759323
19 Lebanese @ 19.926214
20 Sephardic_Jews @ 20.326077

Using 2 populations approximation:
1 50% Ashkenazy_Jews +50% Turkish @ 4.699113


Using 3 populations approximation:
1 50% Assyrian +25% Greek +25% Slovenian @ 1.503117


Using 4 populations approximation:
1 Armenian + Assyrian + Balkans + Tuscan @ 1.362554
2 Armenian + Assyrian + Balkans + TSI @ 1.398375
3 Armenian + Assyrian + Hungarians + S_Italian_Sicilian @ 1.438024
4 Armenian + Assyrian + Balkans + Tuscan @ 1.494202
5 Assyrian + Assyrian + Greek + Slovenian @ 1.503117
6 Armenian + Assyrian + S_Italian_Sicilian + Slovenian @ 1.511783
7 Armenian + Assyrian + Romanians_14 + Tuscan @ 1.536650
8 Armenians_16 + Assyrian + Balkans + Tuscan @ 1.537621
9 Armenian + Assyrian + Greek + Slovenian @ 1.541788
10 Armenian + Assyrian + Romanians_14 + Tuscan @ 1.560722
11 Armenians_16 + Assyrian + Hungarians + S_Italian_Sicilian @ 1.595582
12 Armenians_16 + Assyrian + S_Italian_Sicilian + Slovenian @ 1.653242
13 Armenian + Assyrian + Romanians_14 + TSI @ 1.678715
14 Armenians_16 + Assyrian + Balkans + Tuscan @ 1.703825
15 Armenian + Assyrian + Sicilian + Slovenian @ 1.761497
16 Armenians_16 + Assyrian + Balkans + TSI @ 1.770753
17 Armenians_16 + Assyrian + Romanians_14 + Tuscan @ 1.849357
18 Armenians_16 + Assyrian + Sicilian + Slovenian @ 1.856934
19 Armenian + Ashkenazi + Assyrian + Hungarians @ 1.891162
20 Assyrian + Assyrian + Balkans + TSI @ 1.892142

vettor
09-10-2015, 07:37 PM
I am not sure how can I have more West European than East :\ Ethnic Serb from Croatia with Balkan heritage.

with your Dalmatian Avatar , it indicates a Illyrian/Celtic/Roman mix !:beerchug:

AnnieD
09-10-2015, 08:26 PM
@Asimakidis,
I saw your other post with Eurogenes K13 results, and the Single pop match with Turkey no. (1) at both calculators was impressive. However, the Greek at no. (2) on Eurogenes vs. no. (12) on this tool seemed surprising.

Agamemnon
09-10-2015, 09:46 PM
My results:

Admix Results (sorted):

# Population Percent
1 West_European 37.36
2 Mediterranean 29.33
3 West_Asian 15.82
4 East_European 7.67
5 Southwest_Asian 6.55
6 Northwest_African 1.73
7 South_Asian 0.85
8 Northeast_Asian 0.37
9 Neo_African 0.15
10 Southeast_Asian 0.12
11 East_African 0.05

Single Population Sharing:

# Population (source) Distance
1 Tuscan (Xing) 10.41
2 Tuscan (Henn) 10.42
3 TSI (HapMap) 10.59
4 N_Italian (Dodecad) 15.24
5 Slovenian (Xing) 16.06
6 O_Italian (Dodecad) 16.49
7 French (HGDP) 16.68
8 French (Dodecad) 17.15
9 CEU (HapMap) 18.02
10 N._European (Xing) 18.38
11 Ashkenazy_Jews (Behar) 18.51
12 Hungarians (Behar) 19.25
13 Portuguese (Dodecad) 19.29
14 Argyll (1000 Genomes) 19.71
15 German (Dodecad) 19.76
16 Ashkenazi (Dodecad) 19.89
17 Orcadian (HGDP) 20.1
18 North_Italian (HGDP) 20.19
19 Tuscan (HGDP) 20.23
20 Romanians_14 (Behar) 20.26

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 52.5% Ashkenazy_Jews (Behar) + 47.5% Orkney (1000 Genomes) @ 0.89
2 50.7% Ashkenazi (Dodecad) + 49.3% Orkney (1000 Genomes) @ 0.9
3 52.1% Ashkenazy_Jews (Behar) + 47.9% Orcadian (HGDP) @ 0.9
4 50.2% Argyll (1000 Genomes) + 49.8% Ashkenazi (Dodecad) @ 0.9
5 50.3% Ashkenazi (Dodecad) + 49.7% Orcadian (HGDP) @ 0.97
6 50.7% CEU (HapMap) + 49.3% Ashkenazy_Jews (Behar) @ 0.99
7 52.5% CEU (HapMap) + 47.5% Ashkenazi (Dodecad) @ 1.01
8 51.6% Ashkenazy_Jews (Behar) + 48.4% Argyll (1000 Genomes) @ 1.24
9 52% N._European (Xing) + 48% Ashkenazi (Dodecad) @ 1.39
10 68.3% N._European (Xing) + 31.7% Cypriots (Behar) @ 1.52
11 50.2% N._European (Xing) + 49.8% Ashkenazy_Jews (Behar) @ 1.67
12 54.9% S_Italian_Sicilian (Dodecad) + 45.1% Swedish (Dodecad) @ 1.71
13 56.6% Argyll (1000 Genomes) + 43.4% Morocco_Jews (Behar) @ 2
14 51.8% S_Italian (Dodecad) + 48.2% Swedish (Dodecad) @ 2.08
15 58.8% CEU (HapMap) + 41.2% Morocco_Jews (Behar) @ 2.22
16 56.1% Orcadian (HGDP) + 43.9% Morocco_Jews (Behar) @ 2.23
17 66.1% Orkney (1000 Genomes) + 33.9% Cypriots (Behar) @ 2.27
18 66.9% Argyll (1000 Genomes) + 33.1% Cypriots (Behar) @ 2.3
19 50.5% Sephardic_Jews (Behar) + 49.5% Swedish (Dodecad) @ 2.32
20 55.7% Orkney (1000 Genomes) + 44.3% Morocco_Jews (Behar) @ 2.33

Admix Results (sorted):

# Population Percent
1 West_European 37.36
2 Mediterranean 29.33
3 West_Asian 15.82
4 East_European 7.67
5 Southwest_Asian 6.55
6 Northwest_African 1.73


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Tuscan @ 11.535097
2 Tuscan @ 11.545934
3 TSI @ 11.736073
4 N_Italian @ 16.784407
5 Slovenian @ 17.758490
6 O_Italian @ 18.243864
7 French @ 18.695505
8 French @ 19.257050
9 CEU @ 20.184881
10 N._European @ 20.559490
11 Ashkenazy_Jews @ 20.715975
12 Hungarians @ 21.294636
13 Portuguese @ 21.537693
14 Argyll @ 22.042002
15 German @ 22.069901
16 North_Italian @ 22.238920
17 Ashkenazi @ 22.247576
18 Tuscan @ 22.332329
19 Romanians_14 @ 22.447504
20 Orcadian @ 22.508854

Using 2 populations approximation:
1 50% Ashkenazi +50% Argyll @ 0.939275


Using 3 populations approximation:
1 50% Ashkenazi +25% Orkney +25% Argyll @ 0.800162


Using 4 populations approximation:
1 Ashkenazi + Ashkenazy_Jews + CEU + Orkney @ 0.797075
2 Ashkenazi + Ashkenazi + Orkney + Argyll @ 0.800162
3 Ashkenazi + Ashkenazy_Jews + CEU + Argyll @ 0.824530
4 Ashkenazi + Ashkenazy_Jews + CEU + Orcadian @ 0.826272
5 Ashkenazi + Ashkenazi + Orcadian + Argyll @ 0.837112
6 Ashkenazi + Ashkenazy_Jews + Orcadian + Argyll @ 0.898454
7 Ashkenazi + Ashkenazi + Argyll + Argyll @ 0.939275
8 Ashkenazy_Jews + Ashkenazy_Jews + CEU + Orcadian @ 0.945575
9 Ashkenazi + Ashkenazy_Jews + Orkney + Argyll @ 0.947868
10 Ashkenazi + Ashkenazi + CEU + Argyll @ 0.953327
11 Ashkenazi + Ashkenazi + Orcadian + Orkney @ 0.967010
12 Ashkenazy_Jews + Ashkenazy_Jews + CEU + Orkney @ 0.967832
13 Ashkenazi + Ashkenazi + Orkney + Orkney @ 0.968111
14 Georgia_Jews + Mixed_Germanic + Spaniards + Slovenian @ 0.975060
15 Ashkenazi + Ashkenazy_Jews + Orcadian + Orcadian @ 0.976012
16 Ashkenazi + S_Italian + Swedish + N._European @ 0.984143
17 Ashkenazi + Ashkenazi + Orcadian + Orcadian @ 0.993848
18 Ashkenazy_Jews + Ashkenazy_Jews + CEU + Argyll @ 1.010314
19 Ashkenazi + Ashkenazy_Jews + Orkney + Orkney @ 1.017247
20 Ashkenazi + Ashkenazi + CEU + Orkney @ 1.019118


My mother's results:

Admix Results (sorted):

# Population Percent
1 West_European 54.33
2 Mediterranean 26.13
3 East_European 10.91
4 West_Asian 5.98
5 Southwest_Asian 1.39
6 Northwest_African 1.2
7 Northeast_Asian 0.06
8 Neo_African 0.01

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 1.72
2 Orcadian (HGDP) 2.72
3 Orkney (1000 Genomes) 2.97
4 Argyll (1000 Genomes) 3.56
5 N._European (Xing) 3.66
6 German (Dodecad) 6.84
7 Mixed_Germanic (Dodecad) 8.58
8 Dutch (Dodecad) 9.12
9 French (HGDP) 9.81
10 French (Dodecad) 9.87
11 Kent (1000 Genomes) 11.11
12 British_Isles (Dodecad) 12.73
13 British (Dodecad) 12.92
14 Cornwall (1000 Genomes) 13.61
15 Irish (Dodecad) 15.72
16 Swedish (Dodecad) 15.74
17 Norwegian (Dodecad) 16.39
18 Slovenian (Xing) 17.15
19 French_Basque (HGDP) 20.6
20 Hungarians (Behar) 21.1

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 89.9% Orkney (1000 Genomes) + 10.1% Portuguese (Dodecad) @ 1.43
2 91.1% Orcadian (HGDP) + 8.9% Portuguese (Dodecad) @ 1.47
3 93.3% Orkney (1000 Genomes) + 6.7% Sardinian (HGDP) @ 1.49
4 96% Orcadian (HGDP) + 4% North_African (Dodecad) @ 1.51
5 96.2% Orcadian (HGDP) + 3.8% TUNISIA (Henn) @ 1.51
6 96.6% CEU (HapMap) + 3.4% French_Basque (HGDP) @ 1.56
7 95.8% Orcadian (HGDP) + 4.2% Morocco_N (Henn) @ 1.58
8 94.3% Orcadian (HGDP) + 5.7% Sardinian (HGDP) @ 1.6
9 97.5% CEU (HapMap) + 2.5% Portuguese (Dodecad) @ 1.62
10 97.9% CEU (HapMap) + 2.1% Spanish (Dodecad) @ 1.64
11 91.1% Orkney (1000 Genomes) + 8.9% IBS (1000Genomes) @ 1.64
12 99.4% CEU (HapMap) + 0.6% Mozabite (HGDP) @ 1.64
13 98% CEU (HapMap) + 2% Spaniards (Behar) @ 1.65
14 98.1% CEU (HapMap) + 1.9% IBS (1000Genomes) @ 1.65
15 95.3% CEU (HapMap) + 4.7% French (HGDP) @ 1.66
16 96.6% Orcadian (HGDP) + 3.4% Moroccans (Behar) @ 1.66
17 99.2% CEU (HapMap) + 0.8% TUNISIA (Henn) @ 1.66
18 91.1% Orkney (1000 Genomes) + 8.9% Spanish (Dodecad) @ 1.66
19 96.7% CEU (HapMap) + 3.3% British (Dodecad) @ 1.66
20 96.7% CEU (HapMap) + 3.3% British_Isles (Dodecad) @ 1.67

Admix Results (sorted):

# Population Percent
1 West_European 54.33
2 Mediterranean 26.13
3 East_European 10.91
4 West_Asian 5.98
5 Southwest_Asian 1.39
6 Northwest_African 1.20


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 CEU @ 1.923171
2 Orcadian @ 3.018793
3 Orkney @ 3.298773
4 Argyll @ 3.959288
5 N._European @ 4.027591
6 German @ 7.534000
7 Mixed_Germanic @ 9.554678
8 Dutch @ 10.124324
9 French @ 10.797501
10 French @ 10.861812
11 Kent @ 12.343990
12 British_Isles @ 14.143394
13 British @ 14.344546
14 Cornwall @ 15.113262
15 Swedish @ 17.425821
16 Irish @ 17.464386
17 Norwegian @ 18.182024
18 Slovenian @ 19.053766
19 French_Basque @ 22.683058
20 Hungarians @ 23.419464

Using 2 populations approximation:
1 50% CEU +50% CEU @ 1.923171


Using 3 populations approximation:
1 50% German +25% Norwegian +25% Spaniards @ 1.341599


Using 4 populations approximation:
1 German + Spaniards + Swedish + Argyll @ 1.023146
2 French_Basque + Mixed_Germanic + Swedish + Slovenian @ 1.113911
3 German + IBS + Swedish + Argyll @ 1.210174
4 German + Spanish + Swedish + Argyll @ 1.238664
5 German + Spaniards + Swedish + N._European @ 1.244013
6 German + Orcadian + Portuguese + Swedish @ 1.258096
7 German + Orkney + Portuguese + Swedish @ 1.295823
8 French_Basque + Hungarians + Mixed_Germanic + Swedish @ 1.299515
9 German + Orkney + Spaniards + Swedish @ 1.329143
10 French + German + Orkney + Orkney @ 1.331661
11 German + German + Norwegian + Spaniards @ 1.341599
12 Hungarians + Irish + Spaniards + Swedish @ 1.351833
13 German + Portuguese + Swedish + Argyll @ 1.351872
14 IBS + Norwegian + Norwegian + Slovenian @ 1.352066
15 German + Orcadian + Spaniards + Swedish @ 1.356080
16 French_Basque + Hungarians + Mixed_Germanic + Norwegian @ 1.356163
17 French + German + Orcadian + Orkney @ 1.379786
18 German + IBS + Orkney + Swedish @ 1.403893
19 French_Basque + Norwegian + N._European + Slovenian @ 1.410785
20 French_Basque + Norwegian + Argyll + Slovenian @ 1.416492

vettor
09-10-2015, 09:53 PM
Is this V3 are revamped admixture?

mine below
Admix Results (sorted):

# Population Percent
1 West_European 35.50
2 Mediterranean 33.55
3 West_Asian 13.97
4 East_European 9.92
5 Southwest_Asian 5.30
6 Northwest_African 1.50


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Tuscan @ 9.735290
2 Tuscan @ 9.917777
3 TSI @ 10.214822
4 N_Italian @ 12.499412
5 O_Italian @ 15.460661
6 Slovenian @ 17.446304
7 North_Italian @ 18.061283
8 Tuscan @ 18.669254
9 Portuguese @ 18.750456
10 Romanians_14 @ 19.140285
11 French @ 19.232992
12 French @ 19.284773
13 Hungarians @ 19.781872
14 Ashkenazy_Jews @ 20.513977
15 IBS @ 20.769533
16 C_Italian @ 21.189825
17 Spaniards @ 21.200132
18 Balkans @ 21.401640
19 Spanish @ 21.459267
20 CEU @ 21.645653

Using 2 populations approximation:
1 50% C_Italian +50% German @ 1.841635

Using 4 populations approximation:
1 Dutch + Hungarians + Sicilian + Tuscan @ 0.899145
2 Mixed_Germanic + N_Italian + Sephardic_Jews + Slovenian @ 1.020385
3 Hungarians + Kent + Sicilian + Tuscan @ 1.035275
4 Hungarians + Mixed_Germanic + N_Italian + Sephardic_Jews @ 1.086442


I thought sephatic was Spanish inclined

vettor
09-10-2015, 10:02 PM
Interesting ..is that my son's results shows a lot of O-Italian ( = other Italian ) ........

Admix Results (sorted):

# Population Percent
1 West_European 37.66
2 Mediterranean 32.05
3 West_Asian 13.26
4 East_European 11.63
5 Southwest_Asian 3.54
6 Northwest_African 1.54


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Tuscan @ 13.296688
2 Tuscan @ 13.367864
3 TSI @ 13.579746
4 Slovenian @ 14.450560
5 N_Italian @ 14.702405
6 Hungarians @ 17.170431
7 French @ 17.646603
8 French @ 17.680506
9 CEU @ 18.685652
10 O_Italian @ 18.807083
11 Portuguese @ 19.489283
12 Romanians_14 @ 19.594677
13 N._European @ 19.865948
14 German @ 20.101826
15 North_Italian @ 20.130301
16 Balkans @ 20.873531
17 Argyll @ 20.875471
18 Orcadian @ 21.148928
19 Orkney @ 21.594530
20 Tuscan @ 21.665716

Using 2 populations approximation:
1 50% German +50% O_Italian @ 2.544668


Using 4 populations approximation:
1 Hungarians + O_Italian + Orkney + Tuscan @ 1.152512
2 Hungarians + O_Italian + TSI + Argyll @ 1.179814
3 Hungarians + O_Italian + Orcadian + Tuscan @ 1.204714
4 Hungarians + O_Italian + Orkney + TSI @ 1.227318
5 Hungarians + O_Italian + Argyll + Tuscan @ 1.230362
6 Hungarians + O_Italian + Argyll + Tuscan @ 1.235476

MatAust21
09-10-2015, 10:03 PM
Admix Results (sorted):

# Population Percent
1 West_European 39.69
2 Mediterranean 27.8
3 East_European 14.26
4 West_Asian 12.73
5 Southwest_Asian 3.5
6 Northwest_African 1.6
7 Northeast_Asian 0.22
8 East_African 0.2

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 8.93
2 Hungarians (Behar) 12.39
3 German (Dodecad) 14.23
4 CEU (HapMap) 14.26
5 N._European (Xing) 14.89
6 Argyll (1000 Genomes) 15.86
7 Tuscan (Xing) 16.2
8 Tuscan (Henn) 16.26
9 French (HGDP) 16.39
10 Orcadian (HGDP) 16.4
11 French (Dodecad) 16.41
12 TSI (HapMap) 16.51
13 Orkney (1000 Genomes) 16.75
14 N_Italian (Dodecad) 18.19
15 Balkans (Dodecad) 18.56
16 Romanians_14 (Behar) 18.6
17 Mixed_Germanic (Dodecad) 20.82
18 Portuguese (Dodecad) 21.02
19 O_Italian (Dodecad) 21.52
20 Dutch (Dodecad) 22.35

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 68.1% German (Dodecad) + 31.9% Greek (Dodecad) @ 2.12
2 52.8% Romanians_14 (Behar) + 47.2% Mixed_Germanic (Dodecad) @ 2.14
3 76% German (Dodecad) + 24% Cypriots (Behar) @ 2.24
4 61.2% Romanians_14 (Behar) + 38.8% Irish (Dodecad) @ 2.26
5 59.2% Romanians_14 (Behar) + 40.8% Cornwall (1000 Genomes) @ 2.4
6 70.9% German (Dodecad) + 29.1% S_Italian (Dodecad) @ 2.41
7 58.8% Romanians_14 (Behar) + 41.2% British (Dodecad) @ 2.43
8 54.6% Romanians_14 (Behar) + 45.4% Dutch (Dodecad) @ 2.43
9 58.7% Romanians_14 (Behar) + 41.3% British_Isles (Dodecad) @ 2.47
10 69.8% German (Dodecad) + 30.2% Sicilian (Dodecad) @ 2.47
11 72% German (Dodecad) + 28% Sephardic_Jews (Behar) @ 2.55
12 57% Romanians_14 (Behar) + 43% Kent (1000 Genomes) @ 2.56
13 68.9% German (Dodecad) + 31.1% S_Italian_Sicilian (Dodecad) @ 2.62
14 51.8% Swedish (Dodecad) + 48.2% Greek (Dodecad) @ 2.69
15 64.6% TSI (HapMap) + 35.4% FIN (1000Genomes) @ 2.72

Agamemnon
09-10-2015, 10:36 PM
I thought sephatic was Spanish inclined

Sephardic is more or less identical to Ashkenazi in this case, have a look at my Sephardic and Moroccan Jewish fits.

dp
09-11-2015, 03:25 PM
Oracle4 results for Dodecad V3 runs of my immediate family. Defaults used. Each kit has its own color to distinguish it from the others, and was used throughout the runs. The runs are for the Gaussian method, using defaults, and were generated by Admix4.

[I don't see a thread specific to this calculator. The one in Open Source Projects seems to be largely a discussion thread]
5750575157525753
My Dodecad World9 runs are here (http://www.anthrogenica.com/showthread.php?2469-Dodecad-World9-results-(Gedmatch)&p=105739&viewfull=1#post105739)
My Eurogenes K13 runs are here (http://www.anthrogenica.com/showthread.php?3539-Eurogenes-K13-Results&p=105770&viewfull=1#post105770)
My Eurogenes V2 EUtest K15 runs are here (http://www.anthrogenica.com/showthread.php?3527-Post-your-Eurogenes-V2-K15-results&p=105852&viewfull=1#post105852)

Dstats on the DV3 components of the FTDNA kits of my mother and myself. I'm new to Dstats. Please post any observations/interpretations.
5860
dp :-)
PS: I highlighted components with abs(Z score) > 3. And appended an extra column with the DV3 component breakdown for both kits. :)

Asimakidis
09-11-2015, 07:10 PM
@AnnieD:
I am not skilled enough to have an opinion. Any thoughts on this matter?
Briefly: Father's father has a non-greek haplogroup I2a-din. And my father's autosomal is 10% eastern Europe, 25% southern Europe 64 % asia minor.(because we were talking about that sample that I posted, my father's that is)

Asimakidis
09-18-2015, 06:13 AM
My uncle's results (mother's brother): Pontic Greek.

Admix Results (sorted):

# Population Percent
1 West_Asian 46.81
2 Mediterranean 31.12
3 Southwest_Asian 12.26
4 West_European 6.41
5 East_European 2.28
6 Southeast_Asian 0.56
7 South_Asian 0.55
8 Northwest_African 0.01

Single Population Sharing:

# Population (source) Distance
1 Armenian (Dodecad) 7.78
2 Azerbaijan_Jews (Behar) 8.08
3 Turkish (Dodecad) 8.41
4 Turks (Behar) 9.25
5 Druze (HGDP) 9.82
6 Assyrian (Dodecad) 10.19
7 Armenians_16 (Behar) 11.01
8 Iranian_Jews (Behar) 11.72
9 Iraq_Jews (Behar) 11.77
10 Uzbekistan_Jews (Behar) 12.39
11 Georgia_Jews (Behar) 12.47
12 Kurd (Xing) 12.92
13 Kurd (Dodecad) 14.66
14 Cypriots (Behar) 15.89
15 Samaritians (Behar) 16.93
16 Iranian (Dodecad) 17.03
17 Lebanese (Behar) 17.73
18 Iranians (Behar) 18.18
19 Palestinian (HGDP) 20.15
20 Syrians (Behar) 20.59

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 74.9% Armenian (Dodecad) + 25.1% Ashkenazi (Dodecad) @ 1.46
2 75.7% Armenian (Dodecad) + 24.3% Ashkenazy_Jews (Behar) @ 1.61
3 81.7% Armenian (Dodecad) + 18.3% Tuscan (Henn) @ 1.73
4 80.9% Armenian (Dodecad) + 19.1% O_Italian (Dodecad) @ 1.76
5 81.6% Armenian (Dodecad) + 18.4% TSI (HapMap) @ 1.93
6 79.2% Armenian (Dodecad) + 20.8% C_Italian (Dodecad) @ 1.96
7 84.6% Armenian (Dodecad) + 15.4% N_Italian (Dodecad) @ 1.99
8 82.5% Armenian (Dodecad) + 17.5% Tuscan (HGDP) @ 2.21
9 87.6% Armenian (Dodecad) + 12.4% Spanish (Dodecad) @ 2.21
10 87.4% Armenian (Dodecad) + 12.6% IBS (1000Genomes) @ 2.24
11 85.4% Armenian (Dodecad) + 14.6% North_Italian (HGDP) @ 2.28
12 87.2% Armenian (Dodecad) + 12.8% Portuguese (Dodecad) @ 2.28
13 87.7% Armenian (Dodecad) + 12.3% Spaniards (Behar) @ 2.3
14 76.7% Armenian (Dodecad) + 23.3% S_Italian_Sicilian (Dodecad) @ 2.31
15 86.8% Armenian (Dodecad) + 13.2% Sardinian (HGDP) @ 2.42
16 68% Armenians_16 (Behar) + 32% Ashkenazi (Dodecad) @ 2.47
17 89.1% Armenian (Dodecad) + 10.9% French_Basque (HGDP) @ 2.63
18 67.7% Armenians_16 (Behar) + 32.3% Morocco_Jews (Behar) @ 2.79
19 75.5% Armenian (Dodecad) + 24.5% Morocco_Jews (Behar) @ 2.79
20 78.2% Armenian (Dodecad) + 21.8% Sicilian (Dodecad) @ 2.79

Least-squares method.

Using 1 population approximation:
1 Armenian @ 8.812805
2 Azerbaijan_Jews @ 8.955722
3 Turkish @ 9.114724
4 Turks @ 9.720434
5 Druze @ 10.981126
6 Assyrian @ 11.346411
7 Armenians_16 @ 12.507538
8 Iranian_Jews @ 13.048541
9 Iraq_Jews @ 13.118560
10 Uzbekistan_Jews @ 13.807291
11 Georgia_Jews @ 13.944601
12 Kurd @ 14.216766
13 Kurd @ 16.099342
14 Cypriots @ 17.800802
15 Iranian @ 18.629679
16 Samaritians @ 19.017523
17 Iranians @ 19.877571
18 Lebanese @ 19.892336
19 Palestinian @ 22.496643
20 Syrians @ 22.974890

Using 2 populations approximation:
1 50% Armenian +50% Turkish @ 4.359268


Using 3 populations approximation:
1 50% Armenian +25% Armenian +25% Ashkenazi @ 1.551878


Using 4 populations approximation:
1 Armenian + Armenian + Armenian + Ashkenazi @ 1.551878
2 Armenian + Georgians + S_Italian_Sicilian + Samaritians @ 1.586446
3 Armenian + Armenian + Armenian + Ashkenazy_Jews @ 1.732775
4 Assyrian + Druze + Georgians + S_Italian_Sicilian @ 1.787154
5 Assyrian + C_Italian + Druze + Georgians @ 1.822817
6 Armenians_16 + Armenians_16 + Assyrian + C_Italian @ 1.852534
7 Ashkenazi + Assyrian + Cypriots + Georgians @ 1.854406
8 Armenian + Armenian + Armenians_16 + Ashkenazi @ 1.855667
9 Armenian + Armenians_16 + Assyrian + C_Italian @ 1.860396
10 Armenians_16 + Georgians + S_Italian_Sicilian + Samaritians @ 1.894497
11 Assyrian + Druze + Georgians + Sicilian @ 1.909027
12 Armenian + Georgians + S_Italian + Samaritians @ 1.942345
13 Assyrian + Druze + Georgians + S_Italian @ 1.990661
14 Armenian + Armenian + Armenians_16 + Ashkenazy_Jews @ 2.028814
15 Armenian + C_Italian + Georgians + Samaritians @ 2.047843
16 Armenian + Georgians + Samaritians + Sicilian @ 2.095576
17 Azerbaijan_Jews + Druze + Georgians + S_Italian @ 2.114752
18 Armenians_16 + C_Italian + Georgians + Samaritians @ 2.243525
19 Armenians_16 + Armenians_16 + Assyrian + O_Italian @ 2.244134
20 Armenian + Druze + Georgians + S_Italian_Sicilian @ 2.262322

xlockx
09-27-2015, 07:55 PM
Admix Results (sorted):


# Population Percent
1 West_European 51.13
2 Mediterranean 26.43
3 East_European 11.15
4 West_Asian 7.82
5 South_Asian 1.87

Using 1 population approximation:
1 CEU @ 3.319098
2 N._European @ 5.137279
3 Argyll @ 5.533090
4 Orcadian @ 5.625488
5 Orkney @ 5.981094
6 German @ 7.716543
7 French @ 10.609355
8 French @ 10.793860
9 Mixed_Germanic @ 11.704584
10 Dutch @ 12.718481
11 Kent @ 15.093088
12 Slovenian @ 16.387995
13 British_Isles @ 17.060381
14 British @ 17.193747
15 Cornwall @ 17.846380
16 Swedish @ 20.198832
17 Irish @ 20.354290
18 Hungarians @ 20.879751
19 Norwegian @ 21.264683
20 French_Basque @ 22.994818

Using 2 populations approximation:
1 50% French +50% German @ 2.978027


Using 3 populations approximation:
1 50% French +25% Hungarians +25% Swedish @ 2.297862


Using 4 populations approximation:
1 Dutch + French + Hungarians + Argyll @ 1.614306
2 Dutch + French + Hungarians + N._European @ 1.673789
3 Dutch + French + Hungarians + Orkney @ 1.730644
4 Dutch + French + Hungarians + Orcadian @ 1.749749
5 French + Hungarians + Mixed_Germanic + Orkney @ 1.757221
6 CEU + Dutch + French + Hungarians @ 1.758704
7 French + Orkney + Orkney + Slovenian @ 1.764895
8 French + Hungarians + Kent + N._European @ 1.779299
9 Dutch + French + Hungarians + Argyll @ 1.792986
10 French + Hungarians + Mixed_Germanic + Orcadian @ 1.806328
11 French + Hungarians + Kent + Argyll @ 1.818779
12 French + Orcadian + Orkney + Slovenian @ 1.819801
13 CEU + French + Mixed_Germanic + Slovenian @ 1.828325
14 Dutch + French + Hungarians + N._European @ 1.833815
15 CEU + French + Hungarians + Kent @ 1.836230
16 French + Orkney + Argyll + Slovenian @ 1.838209
17 French + Hungarians + Mixed_Germanic + Argyll @ 1.844100
18 French + Hungarians + Mixed_Germanic + Orkney @ 1.854295
19 French + Hungarians + Kent + N._European @ 1.871023
20 Dutch + French + Argyll + Slovenian @ 1.879360

cybele
09-29-2015, 07:54 AM
Admix Results (sorted):

# Population Percent
1 West_European 54.64
2 Mediterranean 22.45
3 East_European 11.96
4 West_Asian 8.16
5 Southwest_Asian 1.99

Single Population Sharing:

# Population (source) Distance
1 N._European (Xing) 1.48
2 Argyll (1000 Genomes) 2.19
3 Orkney (1000 Genomes) 3.25
4 Orcadian (HGDP) 3.29
5 CEU (HapMap) 3.4
6 German (Dodecad) 5.07
7 Mixed_Germanic (Dodecad) 7.66
8 Dutch (Dodecad) 9.18
9 Kent (1000 Genomes) 11.22
10 British_Isles (Dodecad) 12.64
11 French (HGDP) 12.97
12 British (Dodecad) 12.98
13 French (Dodecad) 13.36
14 Swedish (Dodecad) 13.45
15 Cornwall (1000 Genomes) 13.64
16 Norwegian (Dodecad) 14.71
17 Irish (Dodecad) 15.3
18 Slovenian (Xing) 16.36
19 Hungarians (Behar) 20.73
20 FIN (1000Genomes) 22.8

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 51.7% Irish (Dodecad) + 48.3% Slovenian (Xing) @ 0.68
2 56.4% British_Isles (Dodecad) + 43.6% Slovenian (Xing) @ 0.8
3 83.6% N._European (Xing) + 16.4% German (Dodecad) @ 1.12
4 55.8% British (Dodecad) + 44.2% Slovenian (Xing) @ 1.12
5 57.6% Irish (Dodecad) + 42.4% Hungarians (Behar) @ 1.14
6 97.7% Argyll (1000 Genomes) + 2.3% Saudis (Behar) @ 1.14
7 97.8% Argyll (1000 Genomes) + 2.2% Yemen_Jews (Behar) @ 1.21
8 98.4% N._European (Xing) + 1.6% Lithuanian (Dodecad) @ 1.22
9 98.3% N._European (Xing) + 1.7% Lithuanians (Behar) @ 1.22
10 97.5% N._European (Xing) + 2.5% Finnish (Dodecad) @ 1.22
11 96.5% N._European (Xing) + 3.5% FIN (1000Genomes) @ 1.23
12 60.6% German (Dodecad) + 39.4% Mixed_Germanic (Dodecad) @ 1.24
13 98% N._European (Xing) + 2% Polish (Dodecad) @ 1.28
14 98.5% N._European (Xing) + 1.5% Belorussian (Behar) @ 1.29
15 98.3% N._European (Xing) + 1.7% Russian (Dodecad) @ 1.29
16 54.6% Cornwall (1000 Genomes) + 45.4% Slovenian (Xing) @ 1.3
17 98.1% N._European (Xing) + 1.9% Mixed_Slav (Dodecad) @ 1.3
18 98.4% N._European (Xing) + 1.6% Russian (HGDP) @ 1.3
19 72.5% N._European (Xing) + 27.5% Argyll (1000 Genomes) @ 1.32
20 95.7% N._European (Xing) + 4.3% Swedish (Dodecad) @ 1.35

XooR
10-09-2015, 05:21 PM
Admix Results (sorted):


# Population Percent
1 West_Asian 51.10
2 Mediterranean 27.99
3 Southwest_Asian 11.52
4 West_European 5.40
5 East_European 2.35
6 South_Asian 1.24

Macura
11-03-2015, 08:25 PM
with your Dalmatian Avatar , it indicates a Illyrian/Celtic/Roman mix !:beerchug:

Nope! I am Z63 Germanic (probably east Poland and surroundings) + U2e IE (southern Poland most likely) + auDNA with significant central Europe and northern influence. Old balkanic people are really minority in Dalmatia in last few centuries :)

Tag Heuer
11-03-2015, 11:19 PM
Admix Results (sorted):

# Population Percent
1 West_Asian 44.17
2 West_European 18.84
3 Mediterranean 15.15
4 South_Asian 7.34
5 East_European 7.22
6 Southwest_Asian 3.47
7 Northeast_Asian 2.71
8 Southeast_Asian 1.08

khanabadoshi
11-04-2015, 12:33 AM
Khanabadoshi Dodecade V3

Admix Results (sorted):



#
Population
Percent


1
South_Asian
39.74


2
West_Asian
25.52


3
West_European
10.79


4
Mediterranean
6.42


5
East_European
6.07


6
Northeast_Asian
3.91


7
Southwest_Asian
3.4


8
Southeast_Asian
3.39


9
Neo_African
0.4


10
East_African
0.36



Oracle


Single Population Sharing:



#
Population (source)
Distance


1
Pathan (HGDP)
3


2
Kashmiri_Pandit (Reich)
5.67


3
Burusho (HGDP)
6.06


4
Pakistani (Xing)
6.36


5
Sindhi (HGDP)
7.47


6
Balochi (HGDP)
11.24


7
Bnei_Menashe_Jews (Behar)
11.68


8
Brahui (HGDP)
12.57


9
Makrani (HGDP)
16.02


10
Cochin_Jews (Behar)
16.39


11
Meghawal (Reich)
16.91


12
Vaish (Reich)
17.06


13
Kalash (HGDP)
17.31


14
TN_Brahmin (Xing)
20.11


15
Srivastava (Reich)
21.07


16
AP_Brahmin (Xing)
21.11


17
Indian (Dodecad)
23.43


18
Nepalese (Xing)
23.56


19
Velama (Reich)
24.98


20
Tharu (Reich)
25.81



Mixed Mode Population Sharing:



#

Primary Population (source)
Secondary Population (source)
Distance


1

72%
Pathan (HGDP)
+
28%
Burusho (HGDP)
@
2.01


2

92.4%
Pathan (HGDP)
+
7.6%
Nepalese (Xing)
@
2.31


3

95.8%
Pathan (HGDP)
+
4.2%
Kharia (Reich)
@
2.33


4

74%
Pathan (HGDP)
+
26%
Kashmiri_Pandit (Reich)
@
2.4


5

95.8%
Pathan (HGDP)
+
4.2%
Santhal (Reich)
@
2.4


6

97.9%
Pathan (HGDP)
+
2.1%
Oroqen (HGDP)
@
2.44


7

98%
Pathan (HGDP)
+
2%
Hezhen (HGDP)
@
2.45


8

95.4%
Pathan (HGDP)
+
4.6%
Sahariya (Reich)
@
2.46


9

98%
Pathan (HGDP)
+
2%
Daur (HGDP)
@
2.47


10

97.8%
Pathan (HGDP)
+
2.2%
Buryat (Xing)
@
2.49


11

98%
Pathan (HGDP)
+
2%
Mongola (HGDP)
@
2.5


12

97.8%
Pathan (HGDP)
+
2.2%
Buryat (Rasmussen)
@
2.5


13

98.2%
Pathan (HGDP)
+
1.8%
Japanese (Dodecad)
@
2.51


14

74.5%
Meghawal (Reich)
+
25.5%
Adygei (HGDP)
@
2.51


15

98.1%
Pathan (HGDP)
+
1.9%
Nysha (Reich)
@
2.53


16

98.3%
Pathan (HGDP)
+
1.7%
Korean (Dodecad)
@
2.53


17

98.1%
Pathan (HGDP)
+
1.9%
Xibo (HGDP)
@
2.53


18

98.3%
Pathan (HGDP)
+
1.7%
Japanese (HGDP)
@
2.53


19

98.2%
Pathan (HGDP)
+
1.8%
Aonaga (Reich)
@
2.54


20

97.8%
Pathan (HGDP)
+
2.2%
Tuva (Rasmussen)
@
2.54




Oracle-4


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Pathan @ 3.083920
2 Kashmiri_Pandit @ 6.070066
3 Burusho @ 6.164038
4 Pakistani @ 6.884644
5 Sindhi @ 7.850230
6 Balochi @ 12.288836
7 Bnei_Menashe_Jews @ 12.875035
8 Brahui @ 13.754103
9 Makrani @ 17.280634
10 Cochin_Jews @ 18.105595
11 Meghawal @ 18.736179
12 Vaish @ 18.915352
13 Kalash @ 19.441765
14 TN_Brahmin @ 22.244350
15 Srivastava @ 23.235043
16 AP_Brahmin @ 23.347881
17 Nepalese @ 23.465776
18 Indian @ 25.850006
19 Velama @ 27.458748
20 Tharu @ 28.353865

Using 2 populations approximation:
1 50% Burusho +50% Pathan @ 2.811397


Using 3 populations approximation:
1 50% Burusho +25% Makrani +25% Pakistani @ 1.919337


Using 4 populations approximation:
1 Balochi + Burusho + Pathan + Pakistani @ 1.518850
2 Brahui + Burusho + Burusho + Pakistani @ 1.598725
3 Balochi + Burusho + Burusho + Pakistani @ 1.672242
4 Balochi + Burusho + Burusho + Pathan @ 1.723862
5 Brahui + Burusho + Pathan + Pakistani @ 1.748080
6 Brahui + Burusho + Burusho + Sindhi @ 1.828945
7 Balochi + Burusho + Pathan + Sindhi @ 1.831119
8 Balochi + Burusho + Burusho + Sindhi @ 1.855490
9 Brahui + Burusho + Burusho + Pathan @ 1.899579
10 Burusho + Burusho + Makrani + Pakistani @ 1.919337
11 Balochi + Burusho + Pathan + Kashmiri_Pandit @ 1.983665
12 Pathan + Urkarah + Meghawal + Velama @ 2.022632
13 Brahui + Burusho + Pathan + Sindhi @ 2.082887
14 Brahui + Burusho + Pathan + Kashmiri_Pandit @ 2.155943
15 Burusho + Pathan + Pathan + Pathan @ 2.177907
16 Kalash + AP_Madiga + Pakistani + Stalskoe @ 2.229054
17 Balochi + Burusho + North_Kannadi + Urkarah @ 2.252773
18 Balochi + Urkarah + Hallaki + Meghawal @ 2.263037
19 Burusho + Burusho + Makrani + Sindhi @ 2.271383
20 Balochi + INS + Urkarah + Meghawal @ 2.293521

Done.

Elapsed time 0.6022 seconds.


Khana's Sister Dodecade V3

Admix Results (sorted):



#
Population
Percent


1
South_Asian
37.85


2
West_Asian
24.65


3
West_European
11.12


4
East_European
8.57


5
Mediterranean
7.93


6
Southeast_Asian
3.3


7
Northeast_Asian
2.99


8
Southwest_Asian
2.78


9
Neo_African
0.66


10
East_African
0.15



Oracle


Single Population Sharing:



#
Population (source)
Distance


1
Pathan (HGDP)
2.84


2
Kashmiri_Pandit (Reich)
6.19


3
Burusho (HGDP)
7.27


4
Pakistani (Xing)
7.55


5
Sindhi (HGDP)
8.95


6
Balochi (HGDP)
11.29


7
Bnei_Menashe_Jews (Behar)
12.04


8
Brahui (HGDP)
12.74


9
Makrani (HGDP)
15.84


10
Cochin_Jews (Behar)
17.63


11
Vaish (Reich)
17.81


12
Meghawal (Reich)
18.33


13
Kalash (HGDP)
18.69


14
TN_Brahmin (Xing)
21.49


15
Srivastava (Reich)
22.21


16
AP_Brahmin (Xing)
22.47


17
Nepalese (Xing)
23.75


18
Indian (Dodecad)
24.82


19
Velama (Reich)
26.71


20
Tharu (Reich)
26.99



Mixed Mode Population Sharing:



#

Primary Population (source)
Secondary Population (source)
Distance


1

97.7%
Pathan (HGDP)
+
2.3%
Xibo (HGDP)
@
2.11


2

97.8%
Pathan (HGDP)
+
2.2%
Tu (HGDP)
@
2.12


3

97.7%
Pathan (HGDP)
+
2.3%
Mongola (HGDP)
@
2.12


4

95.6%
Pathan (HGDP)
+
4.4%
Hazara (HGDP)
@
2.14


5

97.9%
Pathan (HGDP)
+
2.1%
Nysha (Reich)
@
2.14


6

97.9%
Pathan (HGDP)
+
2.1%
Japanese (Dodecad)
@
2.15


7

96%
Pathan (HGDP)
+
4%
Uygur (HGDP)
@
2.15


8

98%
Pathan (HGDP)
+
2%
Korean (Dodecad)
@
2.15


9

97.8%
Pathan (HGDP)
+
2.2%
Daur (HGDP)
@
2.15


10

98%
Pathan (HGDP)
+
2%
Aonaga (Reich)
@
2.15


11

98%
Pathan (HGDP)
+
2%
Japanese (HGDP)
@
2.16


12

98.1%
Pathan (HGDP)
+
1.9%
Naxi (HGDP)
@
2.16


13

98.1%
Pathan (HGDP)
+
1.9%
Chinese (Dodecad)
@
2.16


14

98.1%
Pathan (HGDP)
+
1.9%
Yizu (HGDP)
@
2.16


15

97.9%
Pathan (HGDP)
+
2.1%
Hezhen (HGDP)
@
2.17


16

96.8%
Pathan (HGDP)
+
3.2%
Kyrgyzstani (Xing)
@
2.18


17

98.1%
Pathan (HGDP)
+
1.9%
JPT (HapMap)
@
2.18


18

98.2%
Pathan (HGDP)
+
1.8%
Han (HGDP)
@
2.18


19

96.6%
Pathan (HGDP)
+
3.4%
Chuvashs_16 (Behar)
@
2.18


20

98.2%
Pathan (HGDP)
+
1.8%
Tujia (HGDP)
@
2.18




Oracle-4


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Pathan @ 2.994016
2 Kashmiri_Pandit @ 6.660118
3 Burusho @ 7.412360
4 Pakistani @ 8.229302
5 Sindhi @ 9.617514
6 Balochi @ 12.502002
7 Bnei_Menashe_Jews @ 13.313564
8 Brahui @ 14.103632
9 Makrani @ 17.234207
10 Cochin_Jews @ 19.445997
11 Vaish @ 19.711948
12 Meghawal @ 20.232565
13 Kalash @ 21.032528
14 Nepalese @ 23.538731
15 TN_Brahmin @ 23.712700
16 Srivastava @ 24.439510
17 AP_Brahmin @ 24.798304
18 Indian @ 27.339624
19 Velama @ 29.340887
20 Tharu @ 29.585991

Using 2 populations approximation:
1 50% Pathan +50% Pathan @ 2.994016


Using 3 populations approximation:
1 50% Pakistani +25% Stalskoe +25% Srivastava @ 2.208201


Using 4 populations approximation:
1 Indian + Stalskoe + Kashmiri_Pandit + Kashmiri_Pandit @ 1.962431
2 Sindhi + Stalskoe + Kashmiri_Pandit + Srivastava @ 1.996120
3 Pakistani + Stalskoe + TN_Brahmin + Kashmiri_Pandit @ 2.005301
4 Pakistani + Stalskoe + Kashmiri_Pandit + Srivastava @ 2.070600
5 Stalskoe + TN_Brahmin + Kashmiri_Pandit + Kashmiri_Pandit @ 2.077066
6 Sindhi + Stalskoe + TN_Brahmin + Kashmiri_Pandit @ 2.158812
7 Pakistani + Pakistani + Stalskoe + Srivastava @ 2.208201
8 Sindhi + Pakistani + Stalskoe + Srivastava @ 2.318901
9 Indian + Pakistani + Stalskoe + Kashmiri_Pandit @ 2.355990
10 INS + Pathan + Stalskoe + Kashmiri_Pandit @ 2.365950
11 Sindhi + Stalskoe + Kashmiri_Pandit + Meghawal @ 2.376489
12 Pakistani + Stalskoe + Kashmiri_Pandit + Meghawal @ 2.377489
13 AP_Brahmin + Stalskoe + Kashmiri_Pandit + Kashmiri_Pandit @ 2.404431
14 AP_Brahmin + Pakistani + Stalskoe + Kashmiri_Pandit @ 2.407022
15 Sindhi + AP_Brahmin + Stalskoe + Kashmiri_Pandit @ 2.483146
16 Cochin_Jews + Pathan + Urkarah + Srivastava @ 2.491724
17 Pathan + Urkarah + Hallaki + Kashmiri_Pandit @ 2.494107
18 Indian + Sindhi + Stalskoe + Kashmiri_Pandit @ 2.495961
19 Pathan + Pathan + AP_Madiga + Urkarah @ 2.498382
20 GIH + Pathan + Stalskoe + Kashmiri_Pandit @ 2.504999

Done.

Elapsed time 1.6294 seconds.

Khana's Paternal Uncle Dodecade V3

Admix Results (sorted):



#
Population
Percent


1
South_Asian
39.17


2
West_Asian
27.72


3
West_European
8.19


4
East_European
6.95


5
Mediterranean
6.43


6
Southwest_Asian
4.2


7
Northeast_Asian
3.22


8
Southeast_Asian
2.89


9
Neo_African
0.74


10
Palaeo_African
0.44


11
East_African
0.04



Oracle



Single Population Sharing:



#
Population (source)
Distance


1
Pathan (HGDP)
4.78


2
Kashmiri_Pandit (Reich)
6.56


3
Pakistani (Xing)
7.82


4
Sindhi (HGDP)
8.32


5
Burusho (HGDP)
8.44


6
Balochi (HGDP)
8.84


7
Brahui (HGDP)
10.17


8
Bnei_Menashe_Jews (Behar)
11.41


9
Makrani (HGDP)
13.68


10
Kalash (HGDP)
16.06


11
Cochin_Jews (Behar)
17.49


12
Meghawal (Reich)
18.44


13
Vaish (Reich)
19.06


14
TN_Brahmin (Xing)
21.41


15
Srivastava (Reich)
22.4


16
AP_Brahmin (Xing)
22.65


17
Indian (Dodecad)
24.85


18
Nepalese (Xing)
25.05


19
Velama (Reich)
25.66


20
Tharu (Reich)
27.43



Mixed Mode Population Sharing:



#

Primary Population (source)
Secondary Population (source)
Distance


1

61.3%
Kashmiri_Pandit (Reich)
+
38.7%
Brahui (HGDP)
@
1.77


2

57.9%
Kashmiri_Pandit (Reich)
+
42.1%
Balochi (HGDP)
@
1.77


3

68.5%
Kashmiri_Pandit (Reich)
+
31.5%
Makrani (HGDP)
@
2.09


4

51.3%
Burusho (HGDP)
+
48.7%
Balochi (HGDP)
@
2.66


5

55.1%
Burusho (HGDP)
+
44.9%
Brahui (HGDP)
@
2.78


6

82.6%
Pakistani (Xing)
+
17.4%
Iranian (Dodecad)
@
2.81


7

85.1%
Kashmiri_Pandit (Reich)
+
14.9%
Iranians (Behar)
@
2.86


8

53.5%
Pakistani (Xing)
+
46.5%
Balochi (HGDP)
@
2.9


9

72.7%
Balochi (HGDP)
+
27.3%
Srivastava (Reich)
@
2.95


10

64.9%
Pakistani (Xing)
+
35.1%
Makrani (HGDP)
@
3.02


11

57.4%
Pakistani (Xing)
+
42.6%
Brahui (HGDP)
@
3.08


12

88.3%
Pakistani (Xing)
+
11.7%
Georgians (Behar)
@
3.11


13

85.7%
Kashmiri_Pandit (Reich)
+
14.3%
Iranian (Dodecad)
@
3.13


14

69.2%
TN_Brahmin (Xing)
+
30.8%
Adygei (HGDP)
@
3.17


15

82.5%
Pakistani (Xing)
+
17.5%
Iranians (Behar)
@
3.18


16

86.9%
Pakistani (Xing)
+
13.1%
Adygei (HGDP)
@
3.22


17

68.8%
Balochi (HGDP)
+
31.2%
Meghawal (Reich)
@
3.22


18

69.5%
Balochi (HGDP)
+
30.5%
Vaish (Reich)
@
3.22


19

74.8%
Meghawal (Reich)
+
25.2%
Georgians (Behar)
@
3.24


20

86.1%
Sindhi (HGDP)
+
13.9%
Adygei (HGDP)
@
3.3




Oracle-4


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Pathan @ 5.255073
2 Kashmiri_Pandit @ 7.101382
3 Pakistani @ 8.646853
4 Burusho @ 8.841832
5 Sindhi @ 9.067864
6 Balochi @ 9.655560
7 Brahui @ 11.121341
8 Bnei_Menashe_Jews @ 12.637428
9 Makrani @ 14.720111
10 Kalash @ 18.017073
11 Cochin_Jews @ 19.392059
12 Meghawal @ 20.486610
13 Vaish @ 21.231329
14 TN_Brahmin @ 23.748392
15 Srivastava @ 24.766323
16 AP_Brahmin @ 25.114658
17 Nepalese @ 25.154997
18 Indian @ 27.496265
19 Velama @ 28.252020
20 Tharu @ 30.191648

Using 2 populations approximation:
1 50% Balochi +50% Kashmiri_Pandit @ 2.169192


Using 3 populations approximation:
1 50% Balochi +25% Burusho +25% Pakistani @ 2.086638


Using 4 populations approximation:
1 Makrani + Pathan + Kashmiri_Pandit + Kashmiri_Pandit @ 1.910088
2 Balochi + Balochi + Burusho + Pakistani @ 2.086638
3 Balochi + Balochi + Burusho + Kashmiri_Pandit @ 2.086834
4 Brahui + Pathan + Kashmiri_Pandit + Kashmiri_Pandit @ 2.130722
5 Balochi + Balochi + Kashmiri_Pandit + Kashmiri_Pandit @ 2.169192
6 Makrani + Pathan + Pakistani + Kashmiri_Pandit @ 2.237491
7 Balochi + Brahui + Burusho + Pakistani @ 2.290368
8 Balochi + Brahui + Burusho + Kashmiri_Pandit @ 2.297863
9 Balochi + Balochi + Burusho + Sindhi @ 2.304879
10 Balochi + Balochi + Pakistani + Kashmiri_Pandit @ 2.304964
11 Iranian + Sindhi + Kashmiri_Pandit + Srivastava @ 2.313426
12 Burusho + Makrani + Pathan + Kashmiri_Pandit @ 2.378180
13 Balochi + Brahui + Kashmiri_Pandit + Kashmiri_Pandit @ 2.385809
14 Makrani + Pathan + Sindhi + Kashmiri_Pandit @ 2.400820
15 Balochi + Pathan + Kashmiri_Pandit + Kashmiri_Pandit @ 2.406487
16 Indian + Iranian + Kashmiri_Pandit + Kashmiri_Pandit @ 2.431165
17 Burusho + Iranian + Sindhi + Srivastava @ 2.474207
18 Iranian + Pakistani + Kashmiri_Pandit + Srivastava @ 2.476206
19 Burusho + Makrani + Pakistani + Kashmiri_Pandit @ 2.476979
20 Makrani + Pakistani + Kashmiri_Pandit + Kashmiri_Pandit @ 2.480444

Done.

Elapsed time 0.6436 seconds.

khanabadoshi
11-04-2015, 12:33 AM
Khana's Maternal Grandmother Dodecade V3

Admix Results (sorted):



#
Population
Percent


1
West_Asian
27.05


2
South_Asian
25.86


3
West_European
16.01


4
East_European
9.65


5
Southeast_Asian
6.39


6
Mediterranean
6.38


7
Northeast_Asian
6.3


8
Southwest_Asian
2.34


9
Neo_African
0.01



Oracle


Single Population Sharing:



#
Population (source)
Distance


1
Pathan (HGDP)
14.25


2
Burusho (HGDP)
15.52


3
Balochi (HGDP)
16.18


4
Brahui (HGDP)
17.04


5
Makrani (HGDP)
17.82


6
Kashmiri_Pandit (Reich)
17.97


7
Pakistani (Xing)
20.18


8
Sindhi (HGDP)
21.55


9
Bnei_Menashe_Jews (Behar)
21.82


10
Kalash (HGDP)
22.79


11
Stalskoe (Xing)
24.6


12
Nepalese (Xing)
24.99


13
Uzbeks (Behar)
26.81


14
Urkarah (Xing)
27.78


15
Kurd (Dodecad)
28.06


16
Vaish (Reich)
28.42


17
Cochin_Jews (Behar)
29.11


18
Meghawal (Reich)
29.65


19
Iranian (Dodecad)
29.81


20
Iranians (Behar)
29.86



Mixed Mode Population Sharing:



#

Primary Population (source)
Secondary Population (source)
Distance


1

61.9%
Burusho (HGDP)
+
38.1%
Stalskoe (Xing)
@
4.43


2

57.6%
Stalskoe (Xing)
+
42.4%
Srivastava (Reich)
@
5.24


3

66.8%
Pathan (HGDP)
+
33.2%
Uzbeks (Behar)
@
5.74


4

65.5%
Burusho (HGDP)
+
34.5%
Urkarah (Xing)
@
6.06


5

54.9%
Stalskoe (Xing)
+
45.1%
Meghawal (Reich)
@
6.16


6

58.5%
Kashmiri_Pandit (Reich)
+
41.5%
Stalskoe (Xing)
@
6.23


7

60.6%
Stalskoe (Xing)
+
39.4%
Tharu (Reich)
@
6.28


8

66.7%
Stalskoe (Xing)
+
33.3%
Madiga (Reich)
@
6.35


9

67%
Stalskoe (Xing)
+
33%
AP_Madiga (Xing)
@
6.38


10

62.5%
Stalskoe (Xing)
+
37.5%
Lodi (Reich)
@
6.4


11

53.8%
Stalskoe (Xing)
+
46.2%
Vaish (Reich)
@
6.4


12

61.2%
Urkarah (Xing)
+
38.8%
Satnami (Reich)
@
6.41


13

67.5%
Stalskoe (Xing)
+
32.5%
Chenchu (Reich)
@
6.45


14

64.3%
Stalskoe (Xing)
+
35.7%
Satnami (Reich)
@
6.49


15

66.3%
Stalskoe (Xing)
+
33.7%
Kurumba (Reich)
@
6.57


16

58.3%
Stalskoe (Xing)
+
41.7%
AP_Brahmin (Xing)
@
6.6


17

66.2%
Stalskoe (Xing)
+
33.8%
Bhil (Reich)
@
6.65


18

67.8%
Stalskoe (Xing)
+
32.2%
Mala (Reich)
@
6.73


19

57.9%
Stalskoe (Xing)
+
42.1%
TN_Brahmin (Xing)
@
6.78


20

64.2%
Stalskoe (Xing)
+
35.8%
Hallaki (Reich)
@
6.83




Oracle-4


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Pathan @ 15.193583
2 Burusho @ 17.005220
3 Balochi @ 17.224178
4 Brahui @ 18.145452
5 Makrani @ 18.777639
6 Kashmiri_Pandit @ 19.554628
7 Pakistani @ 21.823427
8 Sindhi @ 23.181890
9 Bnei_Menashe_Jews @ 23.835945
10 Kalash @ 24.830626
11 Nepalese @ 26.126554
12 Uzbeks @ 26.789064
13 Stalskoe @ 27.049990
14 Urkarah @ 30.633345
15 Kurd @ 30.783964
16 Vaish @ 31.183229
17 Hazara @ 31.396870
18 Cochin_Jews @ 31.968636
19 Meghawal @ 32.558716
20 Kurd @ 32.815647

Using 2 populations approximation:
1 50% Stalskoe +50% Vaish @ 6.831717


Using 3 populations approximation:
1 50% Sindhi +25% Uzbeks +25% Urkarah @ 4.713196


Using 4 populations approximation:
1 Pathan + Uzbeks + Urkarah + Vaish @ 2.553966
2 Pathan + Uzbeks + Urkarah + Meghawal @ 3.468481
3 Uzbeks + Pakistani + Urkarah + Vaish @ 3.518506
4 Burusho + Uzbeks + Urkarah + Vaish @ 3.635905
5 Uzbeks + Urkarah + Kashmiri_Pandit + Vaish @ 3.693285
6 Pathan + Uzbeks + Stalskoe + Vaish @ 3.725339
7 Uzbeks + Pakistani + Pakistani + Urkarah @ 3.859330
8 Pathan + Uzbeks + Urkarah + Srivastava @ 3.872817
9 Sindhi + Uzbeks + Urkarah + Vaish @ 3.910749
10 Pathan + Uzbeks + AP_Brahmin + Urkarah @ 3.933328
11 Uzbeks + Pakistani + Pakistani + Stalskoe @ 3.971125
12 Hazara + Hungarians + Kalash + Kalash @ 3.976133
13 Pathan + Uzbeks + TN_Brahmin + Urkarah @ 4.036063
14 Balkans + Lezgins + Uzbeks + Irula @ 4.081319
15 Lezgins + Uzbeks + Irula + Slovenian @ 4.084958
16 Hungarians + Lezgins + Uzbeks + Irula @ 4.110324
17 Pathan + Uzbeks + Pakistani + Stalskoe @ 4.157017
18 Burusho + Uzbeks + Pakistani + Urkarah @ 4.175542
19 Hazara + Kalash + Kalash + Slovenian @ 4.180781
20 Indian + Pathan + Uzbeks + Urkarah @ 4.190573

Done.

Elapsed time 3.2961 seconds.

Khana's Maternal Grandfather's SISTER Dodecade V3

Admix Results (sorted):



#
Population
Percent


1
South_Asian
46.1


2
West_Asian
22


3
West_European
9.4


4
East_European
6.16


5
Mediterranean
5.25


6
Southwest_Asian
3.78


7
Northeast_Asian
3.06


8
Southeast_Asian
3.03


9
Neo_African
0.66


10
East_African
0.54



Oracle


Single Population Sharing:



#
Population (source)
Distance


1
Pakistani (Xing)
2.51


2
Sindhi (HGDP)
3.26


3
Kashmiri_Pandit (Reich)
5.25


4
Burusho (HGDP)
7.85


5
Pathan (HGDP)
8.18


6
Meghawal (Reich)
10.38


7
Cochin_Jews (Behar)
10.71


8
Vaish (Reich)
11.36


9
Bnei_Menashe_Jews (Behar)
11.93


10
TN_Brahmin (Xing)
13.46


11
AP_Brahmin (Xing)
14.6


12
Srivastava (Reich)
14.78


13
Balochi (HGDP)
16.36


14
Indian (Dodecad)
16.75


15
Brahui (HGDP)
17.57


16
Velama (Reich)
18.55


17
Tharu (Reich)
20.02


18
Kalash (HGDP)
20.52


19
Makrani (HGDP)
21.12


20
INS (SGVP)
21.4



Mixed Mode Population Sharing:



#

Primary Population (source)
Secondary Population (source)
Distance


1

69.9%
Pathan (HGDP)
+
30.1%
Velama (Reich)
@
1.99


2

87.9%
Pakistani (Xing)
+
12.1%
Meghawal (Reich)
@
2.09


3

61.5%
Meghawal (Reich)
+
38.5%
Balochi (HGDP)
@
2.09


4

84.5%
Meghawal (Reich)
+
15.5%
Adygei (HGDP)
@
2.12


5

93.2%
Pakistani (Xing)
+
6.8%
Velama (Reich)
@
2.12


6

95.8%
Pakistani (Xing)
+
4.2%
Madiga (Reich)
@
2.15


7

92%
Pakistani (Xing)
+
8%
Srivastava (Reich)
@
2.17


8

56.3%
Pathan (HGDP)
+
43.7%
Meghawal (Reich)
@
2.17


9

95.8%
Pakistani (Xing)
+
4.2%
Kurumba (Reich)
@
2.17


10

96.7%
Pakistani (Xing)
+
3.3%
Santhal (Reich)
@
2.18


11

96%
Pakistani (Xing)
+
4%
AP_Madiga (Xing)
@
2.18


12

95.7%
Pakistani (Xing)
+
4.3%
Kamsali (Reich)
@
2.19


13

95.8%
Pakistani (Xing)
+
4.2%
Vysya (Reich)
@
2.2


14

95.8%
Pakistani (Xing)
+
4.2%
Satnami (Reich)
@
2.2


15

91.7%
Pakistani (Xing)
+
8.3%
TN_Brahmin (Xing)
@
2.21


16

77.7%
Pathan (HGDP)
+
22.3%
Vysya (Reich)
@
2.21


17

94.3%
Pakistani (Xing)
+
5.7%
Tharu (Reich)
@
2.21


18

92.4%
Pakistani (Xing)
+
7.6%
AP_Brahmin (Xing)
@
2.21


19

62.8%
Pathan (HGDP)
+
37.2%
TN_Brahmin (Xing)
@
2.21


20

96.4%
Pakistani (Xing)
+
3.6%
Sahariya (Reich)
@
2.21




Oracle-4


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Pakistani @ 2.623027
2 Sindhi @ 3.004318
3 Kashmiri_Pandit @ 5.569885
4 Burusho @ 8.046843
5 Pathan @ 8.993017
6 Meghawal @ 11.488524
7 Cochin_Jews @ 11.757924
8 Vaish @ 12.587069
9 Bnei_Menashe_Jews @ 13.096959
10 TN_Brahmin @ 14.893129
11 AP_Brahmin @ 16.133572
12 Srivastava @ 16.207884
13 Balochi @ 18.112881
14 Indian @ 18.486914
15 Brahui @ 19.452799
16 Velama @ 20.337095
17 Tharu @ 21.785933
18 Makrani @ 23.138264
19 Kalash @ 23.195629
20 Nepalese @ 23.521608

Using 2 populations approximation:
1 50% Sindhi +50% Pakistani @ 2.392842


Using 3 populations approximation:
1 50% Pathan +25% Pakistani +25% Velama @ 2.001011


Using 4 populations approximation:
1 Balochi + Pathan + Meghawal + Meghawal @ 1.478964
2 Brahui + Pathan + Meghawal + Srivastava @ 1.489333
3 Balochi + Pathan + Meghawal + Srivastava @ 1.591702
4 Brahui + Pathan + Meghawal + Meghawal @ 1.671761
5 Brahui + Pathan + AP_Brahmin + Meghawal @ 1.697986
6 Balochi + Pathan + TN_Brahmin + Meghawal @ 1.703381
7 Balochi + Pathan + AP_Brahmin + Meghawal @ 1.721761
8 Brahui + Burusho + Meghawal + Meghawal @ 1.757479
9 Pathan + Sindhi + Sindhi + Meghawal @ 1.762368
10 Pathan + Sindhi + Pakistani + Meghawal @ 1.778842
11 Brahui + Pathan + TN_Brahmin + Meghawal @ 1.790437
12 Brahui + Pakistani + Meghawal + Meghawal @ 1.813379
13 Balochi + Burusho + Indian + Sindhi @ 1.824351
14 Balochi + Burusho + Indian + Pakistani @ 1.826765
15 Pathan + Sindhi + Kashmiri_Pandit + Meghawal @ 1.832497
16 Brahui + Kashmiri_Pandit + Meghawal + Meghawal @ 1.850284
17 Balochi + Burusho + Meghawal + Meghawal @ 1.859447
18 Indian + Makrani + Pathan + Meghawal @ 1.866253
19 Balochi + Pakistani + Meghawal + Meghawal @ 1.880967
20 Burusho + Indian + Makrani + Meghawal @ 1.897421

Done.

Elapsed time 0.4365 seconds.

Anglo- Virginian
11-04-2015, 01:25 AM
Mine. I might have already posted them here, but I can't remember, so..
Admix Results (sorted):

# Population Percent
1 West_European 49.61
2 Mediterranean 27.02
3 East_European 14.58
4 West_Asian 6.75
5 South_Asian 1.21


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 CEU @ 5.718964
2 German @ 6.413199
3 N._European @ 7.600528
4 Argyll @ 7.653700
5 Orcadian @ 7.776720
6 Orkney @ 8.171578
7 French @ 12.663768
8 French @ 13.027877
9 Slovenian @ 13.407598
10 Mixed_Germanic @ 14.985452
11 Dutch @ 15.985805
12 Hungarians @ 17.470774
13 Kent @ 18.275934
14 British_Isles @ 20.118895
15 British @ 20.347883
16 Cornwall @ 21.084616
17 Swedish @ 21.521936
18 Norwegian @ 23.126490
19 Irish @ 23.398907
20 French_Basque @ 24.091248

Using 2 populations approximation:
1 50% Hungarians +50% Kent @ 3.164591


Using 3 populations approximation:
1 50% French +25% Mixed_Germanic +25% Polish @ 1.382747


Using 4 populations approximation:
1 French + German + Hungarians + Orkney @ 1.167658
2 French + German + Hungarians + Orcadian @ 1.184730
3 French + German + Hungarians + Orcadian @ 1.315040
4 French + German + Hungarians + Orkney @ 1.321522
5 French + French + Mixed_Germanic + Polish @ 1.382747
6 French + German + Hungarians + Argyll @ 1.395325
7 Dutch + French + French + Mixed_Slav @ 1.397800
8 French + French + Mixed_Germanic + Polish @ 1.418770
9 Dutch + French + French + Polish @ 1.432998
10 Dutch + French + French + Mixed_Slav @ 1.435208
11 French + Hungarians + Argyll + Argyll @ 1.472697
12 CEU + French + German + Hungarians @ 1.503970
13 French + French + Kent + Mixed_Slav @ 1.509762
14 French + Hungarians + Orcadian + Argyll @ 1.509981
15 Cornwall + Mixed_Slav + Spaniards + Argyll @ 1.514307
16 Irish + Mixed_Slav + Spaniards + Argyll @ 1.523337
17 CEU + French + Hungarians + Argyll @ 1.525988
18 French + Hungarians + Orkney + Argyll @ 1.527730
19 Mixed_Germanic + Mixed_Germanic + Polish + Spaniards @ 1.536902
20 CEU + French + German + Hungarians @ 1.546423

Done.

Elapsed time 1.0479 seconds.

paulgill
11-04-2015, 01:41 AM
# Population Percent
1 South_Asian 41.34
2 West_Asian 23.11
3 West_European 15.2
4 Mediterranean 7.15
5 East_European 4.86
6 Northeast_Asian 3.45
7 Southwest_Asian 2.79
8 Southeast_Asian 2.09

Single Population Sharing:

# Population (source) Distance
1 Pathan (HGDP) 4.44
2 Pakistani (Xing) 6.35
3 Sindhi (HGDP) 7.65
4 Burusho (HGDP) 7.67
5 Kashmiri_Pandit (Reich) 8.11
6 Bnei_Menashe_Jews (Behar) 13.45
7 Balochi (HGDP) 14.57
8 Vaish (Reich) 15.24
9 Brahui (HGDP) 15.78
10 Meghawal (Reich) 15.96
11 Cochin_Jews (Behar) 16.19
12 Kalash (HGDP) 19.13
13 TN_Brahmin (Xing) 19.16
14 Makrani (HGDP) 19.26
15 AP_Brahmin (Xing) 19.86
16 Srivastava (Reich) 20.5
17 Indian (Dodecad) 21.86
18 Velama (Reich) 24.85
19 Nepalese (Xing) 24.89
20 Tharu (Reich) 24.94

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 63.4% Indian (Dodecad) + 36.6% Stalskoe (Xing) @ 2.76
2 56.5% GIH (HapMap) + 43.5% Stalskoe (Xing) @ 2.95
3 91.9% Pakistani (Xing) + 8.1% Irish (Dodecad) @ 3.08
4 91.8% Pakistani (Xing) + 8.2% Cornwall (1000 Genomes) @ 3.1
5 91.8% Pakistani (Xing) + 8.2% British (Dodecad) @ 3.17
6 91.9% Pakistani (Xing) + 8.1% British_Isles (Dodecad) @ 3.19
7 91.8% Pakistani (Xing) + 8.2% Kent (1000 Genomes) @ 3.21
8 91.4% Pakistani (Xing) + 8.6% Mixed_Germanic (Dodecad) @ 3.23
9 91.6% Pakistani (Xing) + 8.4% Dutch (Dodecad) @ 3.27
10 64.8% Indian (Dodecad) + 35.2% Urkarah (Xing) @ 3.36
11 92.2% Pakistani (Xing) + 7.8% Norwegian (Dodecad) @ 3.4
12 84.1% Pathan (HGDP) + 15.9% Vaish (Reich) @ 3.44
13 92.2% Pakistani (Xing) + 7.8% Swedish (Dodecad) @ 3.56
14 89.1% Pathan (HGDP) + 10.9% Indian (Dodecad) @ 3.58
15 88.2% Pathan (HGDP) + 11.8% AP_Brahmin (Xing) @ 3.6
16 67% AP_Brahmin (Xing) + 33% Urkarah (Xing) @ 3.6
17 93.1% Pathan (HGDP) + 6.9% Madiga (Reich) @ 3.62
18 91.4% Pakistani (Xing) + 8.6% N._European (Xing) @ 3.66
19 91.5% Pakistani (Xing) + 8.5% Argyll (1000 Genomes) @ 3.67
20 86.1% Pathan (HGDP) + 13.9% Meghawal (Reich) @ 3.67

MonkeyDLuffy
11-04-2015, 04:25 AM
pretty sure I have posted in the thread before:


# Population Percent
1 South_Asian 44.91
2 West_Asian 20.59
3 West_European 11.74
4 East_European 9.31
5 Mediterranean 5.27
6 Southeast_Asian 3.72
7 Northeast_Asian 3.18
8 Southwest_Asian 1.27

Single Population Sharing:

# Population (source) Distance
1 Pakistani (Xing) 4.1
2 Kashmiri_Pandit (Reich) 4.76
3 Sindhi (HGDP) 6.39
4 Burusho (HGDP) 6.7
5 Pathan (HGDP) 7.99
6 Vaish (Reich) 10.73
7 Meghawal (Reich) 11.34
8 Cochin_Jews (Behar) 12.79
9 Bnei_Menashe_Jews (Behar) 14.42
10 TN_Brahmin (Xing) 14.61
11 Srivastava (Reich) 14.99
12 AP_Brahmin (Xing) 15.45
13 Indian (Dodecad) 17.59
14 Balochi (HGDP) 17.98
15 Brahui (HGDP) 19.31
16 Tharu (Reich) 20.39
17 Velama (Reich) 20.58
18 Kalash (HGDP) 21.6
19 Lodi (Reich) 22.17
20 INS (SGVP) 22.4

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 66.2% Pathan (HGDP) + 33.8% Srivastava (Reich) @ 2.67
2 58.2% Pathan (HGDP) + 41.8% Vaish (Reich) @ 3.07
3 95.4% Pakistani (Xing) + 4.6% Chuvashs_16 (Behar) @ 3.11
4 75.1% Srivastava (Reich) + 24.9% Urkarah (Xing) @ 3.15
5 96.1% Pakistani (Xing) + 3.9% Finnish (Dodecad) @ 3.21
6 80.3% Meghawal (Reich) + 19.7% Urkarah (Xing) @ 3.22
7 95.9% Pakistani (Xing) + 4.1% Russian (HGDP) @ 3.24
8 96.4% Pakistani (Xing) + 3.6% Lithuanian (Dodecad) @ 3.24
9 74.7% Kashmiri_Pandit (Reich) + 25.3% Vaish (Reich) @ 3.26
10 96.4% Pakistani (Xing) + 3.6% Lithuanians (Behar) @ 3.27
11 81.7% Pathan (HGDP) + 18.3% Chenchu (Reich) @ 3.39
12 96.5% Pakistani (Xing) + 3.5% FIN (1000Genomes) @ 3.4
13 59.9% Pathan (HGDP) + 40.1% Meghawal (Reich) @ 3.4
14 71.6% Pakistani (Xing) + 28.4% Burusho (HGDP) @ 3.4
15 75.2% Pathan (HGDP) + 24.8% Lodi (Reich) @ 3.44
16 96.6% Pakistani (Xing) + 3.4% Belorussian (Behar) @ 3.45
17 84.5% Vaish (Reich) + 15.5% Adygei (HGDP) @ 3.49
18 97% Pakistani (Xing) + 3% Selkup (Rasmussen) @ 3.51
19 96.4% Pakistani (Xing) + 3.6% Mixed_Slav (Dodecad) @ 3.51
20 96.8% Pakistani (Xing) + 3.2% Altai (Rasmussen) @ 3.53

Asimakidis
11-05-2015, 01:29 PM
My maternal grandmother's results: (Pontic Greek with roots from Gumushane/Argyroupolis)
Admix Results (sorted):

# Population Percent
1 West_Asian 47.97
2 Mediterranean 31.28
3 Southwest_Asian 12.92
4 West_European 4.27
5 East_European 2.27
6 Southeast_Asian 0.68
7 South_Asian 0.61

Single Population Sharing:

# Population (source) Distance
1 Armenian (Dodecad) 6.23
2 Azerbaijan_Jews (Behar) 8.14
3 Assyrian (Dodecad) 8.72
4 Druze (HGDP) 9.53
5 Turkish (Dodecad) 9.61
6 Turks (Behar) 9.75
7 Armenians_16 (Behar) 9.79
8 Iraq_Jews (Behar) 11.35
9 Iranian_Jews (Behar) 11.51
10 Georgia_Jews (Behar) 12.68
11 Uzbekistan_Jews (Behar) 13.13
12 Kurd (Xing) 13.35
13 Kurd (Dodecad) 15.25
14 Cypriots (Behar) 15.93
15 Samaritians (Behar) 16.77
16 Iranian (Dodecad) 17.11
17 Lebanese (Behar) 17.75
18 Iranians (Behar) 18.21
19 Palestinian (HGDP) 20.33
20 Syrians (Behar) 20.53

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 81.3% Armenian (Dodecad) + 18.7% S_Italian_Sicilian (Dodecad) @ 1.88
2 82.3% Armenian (Dodecad) + 17.7% Sicilian (Dodecad) @ 2
3 80.8% Armenian (Dodecad) + 19.2% Sephardic_Jews (Behar) @ 2
4 80.7% Armenian (Dodecad) + 19.3% Ashkenazi (Dodecad) @ 2.1
5 83.9% Armenian (Dodecad) + 16.1% C_Italian (Dodecad) @ 2.17
6 82% Armenian (Dodecad) + 18% Greek (Dodecad) @ 2.19
7 81.2% Armenian (Dodecad) + 18.8% S_Italian (Dodecad) @ 2.22
8 81.4% Armenian (Dodecad) + 18.6% Ashkenazy_Jews (Behar) @ 2.26
9 80.5% Armenian (Dodecad) + 19.5% Morocco_Jews (Behar) @ 2.34
10 89.7% Armenian (Dodecad) + 10.3% Sardinian (HGDP) @ 2.4
11 85.6% Armenian (Dodecad) + 14.4% O_Italian (Dodecad) @ 2.44
12 86.6% Armenian (Dodecad) + 13.4% Tuscan (HGDP) @ 2.5
13 88.5% Armenian (Dodecad) + 11.5% N_Italian (Dodecad) @ 2.72
14 89% Armenian (Dodecad) + 11% North_Italian (HGDP) @ 2.73
15 90.8% Armenian (Dodecad) + 9.2% Spanish (Dodecad) @ 2.83
16 90.6% Armenian (Dodecad) + 9.4% IBS (1000Genomes) @ 2.84
17 86.4% Armenian (Dodecad) + 13.6% TSI (HapMap) @ 2.85
18 73.9% Armenian (Dodecad) + 26.1% Cypriots (Behar) @ 2.87
19 90.6% Armenian (Dodecad) + 9.4% Portuguese (Dodecad) @ 2.91
20 90.9% Armenian (Dodecad) + 9.1% Spaniards (Behar) @ 2.95
Least-squares method.

Using 1 population approximation:
1 Armenian @ 7.058367
2 Azerbaijan_Jews @ 9.042068
3 Assyrian @ 9.678112
4 Turks @ 10.324286
5 Turkish @ 10.540409
6 Druze @ 10.700296
7 Armenians_16 @ 11.116166
8 Iraq_Jews @ 12.677549
9 Iranian_Jews @ 12.845428
10 Georgia_Jews @ 14.221775
11 Uzbekistan_Jews @ 14.670094
12 Kurd @ 14.728395
13 Kurd @ 16.794065
14 Cypriots @ 17.892670
15 Iranian @ 18.715979
16 Samaritians @ 18.879520
17 Iranians @ 19.922153
18 Lebanese @ 19.964119
19 Palestinian @ 22.750156
20 Syrians @ 22.937157

Using 2 populations approximation:
1 50% Armenians_16 +50% Druze @ 3.650934


Using 3 populations approximation:
1 50% Armenians_16 +25% Assyrian +25% S_Italian_Sicilian @ 1.982817


Using 4 populations approximation:
1 Assyrian + Druze + Georgians + S_Italian @ 1.903571
2 Armenians_16 + Armenians_16 + Assyrian + S_Italian_Sicilian @ 1.982817
3 Armenian + Armenians_16 + Assyrian + S_Italian_Sicilian @ 2.222090
4 Armenian + Armenians_16 + Assyrian + S_Italian @ 2.249165
5 Armenians_16 + Armenians_16 + Assyrian + Sephardic_Jews @ 2.264915
6 Armenians_16 + Armenians_16 + Assyrian + S_Italian @ 2.305207
7 Armenian + Druze + Georgians + Sephardic_Jews @ 2.309880
8 Armenian + Georgians + S_Italian + Samaritians @ 2.328423
9 Azerbaijan_Jews + Cypriots + Druze + Georgians @ 2.356249
10 Armenians_16 + Armenians_16 + Assyrian + Sicilian @ 2.379141
11 Armenians_16 + Georgians + Samaritians + Sephardic_Jews @ 2.408637
12 Assyrian + Georgians + Iraq_Jews + S_Italian @ 2.414459
13 Assyrian + Druze + Georgians + Sicilian @ 2.423460
14 Cypriots + Druze + Druze + Georgians @ 2.471153
15 Armenian + Armenian + Cypriots + Turks @ 2.521592
16 Armenians_16 + Armenians_16 + Azerbaijan_Jews + Cypriots @ 2.535411
17 Assyrian + Cypriots + Cypriots + Georgians @ 2.541579
18 Armenian + Armenians_16 + Assyrian + Greek @ 2.548714
19 Armenians_16 + Georgians + S_Italian + Samaritians @ 2.549673
20 Armenian + Armenian + Druze + Turkish @ 2.560016

Bramoan
11-16-2015, 10:59 AM
# Population Percent
1 Southeast_Asian 72.31
2 South_Asian 11.55
3 Northeast_Asian 9.14
4 East_European 3.46
5 Palaeo_African 1.04

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 68.1% Thai (Xing) 31.9% Nysha (Reich) @ 1.79
2 69.6% Thai (Xing) 30.4% Tu (HGDP) @ 1.83
3 74.8% Thai (Xing) 25.2% Korean (Dodecad) @ 2.01
4 70.8% Thai (Xing) 29.2% Aonaga (Reich) @ 2.04
5 74.6% Thai (Xing) 25.4% Japanese (HGDP) @ 2.21
6 78.9% Thai (Xing) 21.1% Xibo (HGDP) @ 2.49
7 89.2% Cambodians (HGDP) 10.8% Selkup (Rasmussen) @ 2.67
8 84.5% Vietnamese (Xing) 15.5% Srivastava (Reich) @ 2.79
9 80.5% Miaozu (HGDP) 19.5% Lodi (Reich) @ 2.81
10 91.5% Khmer_Cambodian 8.5% Selkup (Rasmussen) @ 2.81
11 78.9% Miaozu (HGDP) 21.1% Satnami (Reich) @ 2.85
12 88.6% Cambodians (HGDP )11.4% Yukagir (Rasmussen) @ 2.86
13 79.7% Miaozu (HGDP) 20.3% Tharu (Reich) @ 2.86
14 84% Cambodians (HGDP) 16% Altai (Rasmussen) @ 2.91
15 80.2% Miaozu (HGDP) 19.8% Srivastava (Reich) @ 2.91
16 84.1% Vietnamese (Xing) 15.9% Tharu (Reich) @ 2.92
17 84.8% Vietnamese (Xing) 15.2% Lodi (Reich) @ 2.94
18 83.4% Vietnamese (Xing) 16.6% Satnami (Reich) @ 2.94
19 82.1% Thai (Xing) 17.9% Mongola (HGDP @ 2.97
20 91.1% Khmer_Cambodian 8.9% Yukagir (Rasmussen) @ 2.99

Jesse1961
12-08-2015, 03:18 PM
Mine is:

East European - 2.39%
Mediterranean - 0.11%
Neo African - 0.21%
South Asian -7.87%
Northeast Asian - 9.40%
East African - 0.74%
Southwest Asian - 0.26%
Palaeo African - 0.93%

Edward J
12-08-2015, 09:19 PM
Population Percent
1 West_European 38.10
2 Mediterranean 29.73
3 East_European 13.55
4 West_Asian 13.46
5 Southwest_Asian 4.16


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Slovenian @ 11.734920
2 Hungarians @ 14.868346
3 Tuscan @ 15.435192
4 Tuscan @ 15.437848
5 TSI @ 15.767817
6 N_Italian @ 17.618837
7 CEU @ 17.915705
8 German @ 18.367603
9 French @ 18.710960
10 French @ 18.745743
11 N._European @ 18.782850
12 Romanians_14 @ 19.154259
13 Balkans @ 19.759542
14 Argyll @ 19.870871
15 Orcadian @ 20.345116
16 Orkney @ 20.770105
17 O_Italian @ 21.148008
18 Portuguese @ 22.328335
19 North_Italian @ 23.081499
20 Tuscan @ 24.270176

Using 2 populations approximation:
1 50% Greek +50% Swedish @ 2.666025


Using 3 populations approximation:
1 50% C_Italian +25% FIN +25% German @ 1.957784


Using 4 populations approximation:
1 Balkans + German + Mixed_Germanic + S_Italian_Sicilian @ 0.638096
2 C_Italian + Irish + Mixed_Slav + TSI @ 0.729193
3 C_Italian + Irish + Mixed_Slav + Tuscan @ 0.933004
4 C_Italian + Irish + Mixed_Slav + Tuscan @ 0.976516
5 C_Italian + Cornwall + Mixed_Slav + TSI @ 1.016846
6 Cypriots + French + Kent + Polish @ 1.026162
7 Kent + Mixed_Slav + O_Italian + TSI @ 1.053219
8 Ashkenazi + Balkans + CEU + CEU @ 1.054225
9 British_Isles + C_Italian + Mixed_Slav + TSI @ 1.056477
10 C_Italian + Irish + Polish + TSI @ 1.091595
11 Dutch + S_Italian + Slovenian + Slovenian @ 1.092583
12 British + C_Italian + Mixed_Slav + TSI @ 1.095269
13 C_Italian + Irish + Polish + Tuscan @ 1.103276
14 Mixed_Germanic + Romanians_14 + Tuscan + Slovenian @ 1.135468
15 Dutch + Mixed_Slav + O_Italian + TSI @ 1.147365
16 C_Italian + Cornwall + Mixed_Slav + Tuscan @ 1.169993
17 Mixed_Germanic + S_Italian + Slovenian + Slovenian @ 1.171245
18 Cornwall + Cypriots + French + Polish @ 1.173241
19 British + Cypriots + French + Polish @ 1.179260
20 C_Italian + Cornwall + Polish + TSI @ 1.180910

Edward J
12-08-2015, 09:22 PM
Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 66% German (Dodecad) + 34% S_Italian (Dodecad) @ 1.71
2 64.8% German (Dodecad) + 35.2% Sicilian (Dodecad) @ 1.85
3 62.9% German (Dodecad) + 37.1% Greek (Dodecad) @ 1.91
4 63.7% German (Dodecad) + 36.3% S_Italian_Sicilian (Dodecad) @ 1.99
5 52% Greek (Dodecad) + 48% Swedish (Dodecad) @ 2.12
6 57.4% Slovenian (Xing) + 42.6% TSI (HapMap) @ 2.2
7 72.2% German (Dodecad) + 27.8% Cypriots (Behar) @ 2.41
8 57% Slovenian (Xing) + 43% Tuscan (Henn) @ 2.46
9 67.6% German (Dodecad) + 32.4% Sephardic_Jews (Behar) @ 2.59
10 62.5% N._European (Xing) + 37.5% Greek (Dodecad) @ 2.67
11 62.4% Romanians_14 (Behar) + 37.6% Cornwall (1000 Genomes) @ 2.73
12 57% Slovenian (Xing) + 43% Tuscan (Xing) @ 2.79
13 59.4% German (Dodecad) + 40.6% C_Italian (Dodecad) @ 2.85
14 62.9% O_Italian (Dodecad) + 37.1% FIN (1000Genomes) @ 2.86
15 69.7% TSI (HapMap) + 30.3% FIN (1000Genomes) @ 2.87
16 62.1% Romanians_14 (Behar) + 37.9% British (Dodecad) @ 2.91
17 58.3% Romanians_14 (Behar) + 41.7% Dutch (Dodecad) @ 2.98
18 60.4% Romanians_14 (Behar) + 39.6% Kent (1000 Genomes) @ 3.03
19 64.4% Romanians_14 (Behar) + 35.6% Irish (Dodecad) @ 3.1
20 56.8% Romanians_14 (Behar) + 43.2% Mixed_Germanic (Dodecad) @ 3.11

lemon
01-07-2016, 10:21 PM
Population Percent:
1 West_European 33.32
2 Mediterranean 25.43
3 East_European 19.66
4 West_Asian 14.26
5 Southwest_Asian 5.16
6 Northeast_Asian 1.32


Single Population Sharing:

Using 1 population approximation:
1 Slovenian (Xing) 8.26
2 Hungarians (Behar) 9.44
3 Balkans (Dodecad) 12.34
4 Romanians_14 (Behar) 13
5 German (Dodecad) 18
6 Tuscan (Xing) 18.39
7 Tuscan (Henn) 18.84
8 TSI (HapMap) 19.34
9 CEU (HapMap) 21.28
10 N._European (Xing) 21.48
11 N_Italian (Dodecad) 21.88
12 Ashkenazy_Jews (Behar) 22.24
13 Argyll (1000 Genomes) 22.48
14 O_Italian (Dodecad) 22.85
15 Orcadian (HGDP) 23.25
16 Orkney (1000 Genomes) 23.56
17 Ashkenazi (Dodecad) 23.98
18 French (Dodecad) 24.25
19 French (HGDP) 24.38
20 Mixed_Slav (Dodecad) 25.56

Using 2 populations approximation:
1 50% Finnish +50% S_Italian @ 3.502456


Using 3 populations approximation:
1 50% CEU +25% Cypriots +25% Russian @ 2.460237


Using 4 populations approximation:
1 Cypriots + Dutch + Russian + Slovenian @ 0.857742
2 Balkans + Cypriots + Finnish + Orkney @ 0.969156
3 Balkans + Cypriots + Finnish + Orcadian @ 0.999004
4 Balkans + Cypriots + FIN + German @ 1.004502
5 Cypriots + Mixed_Germanic + Russian + Slovenian @ 1.090057
6 Cornwall + Cypriots + Hungarians + Russian @ 1.097936
7 Cypriots + Hungarians + Kent + Russian @ 1.164564
8 Cypriots + Kent + Russian + Slovenian @ 1.165930
9 Ashkenazy_Jews + Greek + Russian + Swedish @ 1.175190
10 Balkans + Cypriots + Finnish + Argyll @ 1.203048
11 Balkans + CEU + Cypriots + Finnish @ 1.209429
12 British + Cypriots + Hungarians + Russian @ 1.228483
13 Balkans + Cypriots + Finnish + N._European @ 1.298671
14 British_Isles + Cypriots + Hungarians + Russian @ 1.339402
15 Ashkenazi + Greek + Russian + Swedish @ 1.365144
16 Cypriots + Dutch + Hungarians + Russian @ 1.390378
17 Cypriots + Finnish + Orkney + Romanians_14 @ 1.394681
18 Ashkenazy_Jews + Greek + Norwegian + Russian @ 1.427403
19 Balkans + Cypriots + Finnish + Mixed_Germanic @ 1.451433
20 Cypriots + Finnish + Orcadian + Romanians_14 @ 1.460349

Edward J
01-08-2016, 04:14 PM
Looking back at mine, it seems pretty accurate based on what I know on paper. My maternal grandmother is Italian and my paternal grandfather was Slovenian. My father is mixed northwestern European.

Edward J
01-08-2016, 04:17 PM
Father:
Admix Results (sorted):

# Population Percent
1 West_European 48.28
2 Mediterranean 26.48
3 East_European 13.68
4 West_Asian 9.73


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 CEU @ 6.698771
2 German @ 7.833642
3 N._European @ 8.076349
4 Argyll @ 8.343165
5 Orcadian @ 8.892842
6 Orkney @ 9.321709
7 Slovenian @ 12.576116
8 French @ 13.190109
9 French @ 13.322586
10 Mixed_Germanic @ 15.004823
11 Dutch @ 16.502420
12 Hungarians @ 17.124386
13 Kent @ 18.852098
14 British_Isles @ 20.841774
15 British @ 21.028467
16 Cornwall @ 21.636280
17 Swedish @ 22.675535
18 Irish @ 24.083488
19 Norwegian @ 24.303780
20 Portuguese @ 24.907846

Using 2 populations approximation:
1 50% Balkans +50% Irish @ 2.871990


Using 3 populations approximation:
1 50% Orkney +25% Orkney +25% Romanians_14 @ 1.100544


Using 4 populations approximation:
1 Orkney + Orkney + Orkney + Romanians_14 @ 1.100544
2 Orkney + Orkney + Romanians_14 + Argyll @ 1.131828
3 Orcadian + Orkney + Romanians_14 + Argyll @ 1.156476
4 Orcadian + Orkney + Orkney + Romanians_14 @ 1.165717
5 Orcadian + Orcadian + Romanians_14 + Argyll @ 1.206714
6 Orcadian + Orcadian + Orkney + Romanians_14 @ 1.209814
7 Orcadian + Orcadian + Orcadian + Romanians_14 @ 1.269740
8 Orkney + Romanians_14 + Argyll + Argyll @ 1.310818
9 Orcadian + Romanians_14 + Argyll + Argyll @ 1.330754
10 Balkans + CEU + CEU + Mixed_Germanic @ 1.428974
11 CEU + German + Kent + Romanians_14 @ 1.481824
12 Balkans + CEU + Mixed_Germanic + Orcadian @ 1.484628
13 Mixed_Germanic + Orcadian + Orcadian + Romanians_14 @ 1.494452
14 Dutch + Romanians_14 + Argyll + Argyll @ 1.508139
15 CEU + Dutch + Romanians_14 + Argyll @ 1.508791
16 Mixed_Germanic + Orcadian + Romanians_14 + Argyll @ 1.509726
17 German + Kent + Orcadian + Romanians_14 @ 1.516521
18 CEU + Mixed_Germanic + Orcadian + Romanians_14 @ 1.527978
19 Balkans + CEU + Mixed_Germanic + Argyll @ 1.528971
20 Mixed_Germanic + Orcadian + Orkney + Romanians_14 @ 1.530967

Done.

Elapsed time 0.7704 seconds.

Edward J
01-08-2016, 04:22 PM
I can understand the eastern shift in my father's results since his paternal grandmother was from Bohemia. This side of the family considered themselves German, but probably had a more slavic admixture.

Edward J
01-11-2016, 05:07 PM
I understand the CEU represents a mixed Northwestern European, correct?

Not too sure about the Romanian_14 or the Orkney.

I definitely have traced some lines to Scotland, but nothing that far north.

Thanks!

Stephen1986
01-11-2016, 06:53 PM
Yeah, more specifically CEU comes from white American residents of Utah.

william0509
01-12-2016, 03:30 PM
Population
Southeast_Asian 79.56%
Northeast_Asian 18.52%
East_European 1.25%
South_Asian 0.37%
Palaeo_African 0.27%

Admix Results (sorted):

# Population Percent
1 Southeast_Asian 79.56
2 Northeast_Asian 18.52
3 East_European 1.25


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Chinese @ 0.815615
2 Naxi @ 1.610271
3 Yizu @ 1.901582
4 JPT @ 3.847206
5 Han @ 5.535680
6 Aonaga @ 6.144548
7 Japanese @ 7.020321
8 She @ 7.484802
9 CHB @ 7.521183
10 Tujia @ 7.547431
11 Korean @ 8.218349
12 Nysha @ 8.973392
13 Vietnamese @ 10.336859
14 Tu @ 10.457334
15 CHD @ 11.334614
16 Miaozu @ 11.476331
17 Japanese @ 12.013998
18 CHS @ 13.648870
19 Khmer_Cambodian @ 16.706596
20 Lahu @ 17.347797

Using 2 populations approximation:
1 50% Japanese +50% Miaozu @ 0.794343


Using 3 populations approximation:
1 50% Lahu +25% Oroqen +25% She @ 0.367939


Using 4 populations approximation:
1 CHB + Daur + Lahu + Yizu @ 0.266881
2 Dai + Daur + Japanese + Lahu @ 0.266881
3 Dai + Daur + Korean + Lahu @ 0.266881
4 Dai + Lahu + Oroqen + She @ 0.266881
5 Dai + Lahu + Oroqen + Tujia @ 0.266881
6 Daur + Japanese + Lahu + Lahu @ 0.266881
7 Daur + Korean + Lahu + Lahu @ 0.266881
8 Daur + Lahu + She + Yizu @ 0.266881
9 Daur + Lahu + Tujia + Yizu @ 0.266881
10 Lahu + Lahu + Oroqen + She @ 0.367939
11 Dai + Daur + Tujia + Yizu @ 0.368579
12 Daur + Han + Han + Lahu @ 0.369932
13 Lahu + Lahu + Oroqen + Tujia @ 0.370343
14 Dai + Daur + She + Yizu @ 0.386246
15 Daur + Lahu + Naxi + Tujia @ 0.412439
16 CHB + Dai + Lahu + Oroqen @ 0.423210
17 CHB + Lahu + Lahu + Oroqen @ 0.425845
18 Hezhen + Lahu + Lahu + Aonaga @ 0.428816
19 Daur + Lahu + Naxi + She @ 0.428949
20 Dai + Dai + Daur + Korean @ 0.443781

MfA
01-12-2016, 08:13 PM
.....

psaglav
01-12-2016, 08:26 PM
my results:

# Population Percent
1 West_Asian 25.09
2 Mediterranean 24.03
3 West_European 20.49
4 East_European 15.94
5 Southwest_Asian 7.83
6 Northeast_Asian 3.33
7 South_Asian 1.90


Using 1 population approximation:
1 Ashkenazy_Jews @ 15.592194
2 Romanians_14 @ 16.171728
3 Ashkenazi @ 17.314045
4 Stalskoe @ 19.606508
5 Balkans @ 20.132931
6 Tuscan @ 20.637064
7 Greek @ 21.828295
8 Tuscan @ 21.852833
9 TSI @ 21.957275
10 Morocco_Jews @ 22.802595
11 Turkish @ 23.589651
12 O_Italian @ 24.083540
13 C_Italian @ 24.626339
14 S_Italian_Sicilian @ 25.317295
15 Uzbekistan_Jews @ 25.372910
16 Slovenian @ 26.393406
17 Hungarians @ 26.780510
18 Sicilian @ 26.830513
19 Kurd @ 26.975227
20 Kurd @ 27.084385


Using 2 populations approximation:
1 50% Hungarians +50% Kurd @ 4.062844


Using 3 populations approximation:
1 50% Ashkenazy_Jews +25% Russian +25% Turks @ 2.342645


Using 4 populations approximation:
1 Iraq_Jews + Russian + Tuscan + Stalskoe @ 1.556969
2 Lebanese + Russian + Tuscan + Urkarah @ 1.579277
3 Georgia_Jews + Russian + Tuscan + Stalskoe @ 1.597611
4 Druze + O_Italian + Russian + Stalskoe @ 1.620858
5 Ashkenazi + Russian + Sephardic_Jews + Urkarah @ 1.672966
6 Iranian_Jews + Russian + Tuscan + Stalskoe @ 1.678159
7 Druze + Russian + Tuscan + Stalskoe @ 1.738737
8 Russian + Samaritians + Tuscan + Urkarah @ 1.786348
9 Ashkenazy_Jews + Russian + Sephardic_Jews + Urkarah @ 1.877810
10 N_Italian + Russian + Turks + Uzbekistan_Jews @ 1.931349
11 FIN + Iraq_Jews + Romanians_14 + Turks @ 1.939769
12 Druze + Finnish + Romanians_14 + Turkish @ 1.952421
13 Cypriots + Russian + Stalskoe + Tuscan @ 1.953541
14 Azerbaijan_Jews + Russian + Tuscan + Stalskoe @ 1.974220
15 Ashkenazi + Iranian + O_Italian + Russian @ 1.986704
16 Russian + TSI + Turkish + Uzbekistan_Jews @ 2.002885
17 Ashkenazy_Jews + Iranian + O_Italian + Russian @ 2.011452
18 Druze + Finnish + Romanians_14 + Turks @ 2.017587
19 FIN + Iranian_Jews + Romanians_14 + Turks @ 2.019508
20 Balkans + FIN + Iraq_Jews + Turks @ 2.027077

IIRC, Stalskoe is also a Caucasus population, right?

lemon
01-12-2016, 10:48 PM
Yeah, more specifically CEU comes from white American residents of Utah.

the most pure european white Americans apparently.


I can understand the eastern shift in my father's results since his paternal grandmother was from Bohemia. This side of the family considered themselves German, but probably had a more slavic admixture.

slavics and germanics share certain snps, not a surprise.

VelvetNono
01-13-2016, 03:25 PM
My Results:
3/4 Afghan Pashtun and 1/4 Afghan Tajik. (With some Dardic (Pashai) admixture as well)

Admix Results (sorted):

# Population Percent
1 South_Asian 34.26
2 West_Asian 29.78
3 West_European 11.85
4 East_European 8.51
5 Mediterranean 5.71
6 Southwest_Asian 4.33
7 Northeast_Asian 3.07
8 Southeast_Asian 2.04


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Pathan @ 7.033800
2 Balochi @ 8.766835
3 Brahui @ 9.966206
4 Burusho @ 12.157715
5 Kashmiri_Pandit @ 12.181479
6 Makrani @ 12.922463
7 Pakistani @ 13.693703
8 Sindhi @ 14.595572
9 Kalash @ 16.878637
10 Bnei_Menashe_Jews @ 17.267141
11 Cochin_Jews @ 25.246016
12 Vaish @ 25.711540
13 Meghawal @ 25.866453
14 Nepalese @ 27.677633
15 TN_Brahmin @ 29.407757
16 Srivastava @ 30.092041
17 AP_Brahmin @ 30.575747
18 Kurd @ 32.703369
19 Indian @ 32.880978
20 Iranians @ 33.638393

Using 2 populations approximation:
1 50% Urkarah +50% Velama @ 4.831324


Using 3 populations approximation:
1 50% Pakistani +25% Urkarah +25% Kashmiri_Pandit @ 3.675971


Using 4 populations approximation:
1 Balochi + Pathan + Urkarah + Srivastava @ 3.004414
2 Brahui + Pathan + Urkarah + Srivastava @ 3.017282
3 Brahui + Urkarah + Kashmiri_Pandit + Meghawal @ 3.080450
4 Balochi + Urkarah + Kashmiri_Pandit + Meghawal @ 3.084773
5 Brahui + Urkarah + Kashmiri_Pandit + Srivastava @ 3.112358
6 Brahui + Pakistani + Urkarah + Srivastava @ 3.183751
7 Makrani + Pakistani + Urkarah + Srivastava @ 3.227098
8 Balochi + Urkarah + Kashmiri_Pandit + Srivastava @ 3.232894
9 Balochi + Pakistani + Urkarah + Srivastava @ 3.295228
10 Balochi + Pakistani + Urkarah + Meghawal @ 3.300052
11 Brahui + Pakistani + Urkarah + Meghawal @ 3.312142
12 Brahui + Burusho + Urkarah + Srivastava @ 3.312965
13 Makrani + Urkarah + Kashmiri_Pandit + Srivastava @ 3.322748
14 Adygei + Pathan + Pakistani + Meghawal @ 3.381290
15 Brahui + Burusho + Urkarah + Meghawal @ 3.411435
16 Balochi + Burusho + Urkarah + Meghawal @ 3.412810
17 Adygei + Pathan + Pakistani + Vaish @ 3.434943
18 Balochi + Burusho + Urkarah + Srivastava @ 3.436356
19 Brahui + TN_Brahmin + Urkarah + Kashmiri_Pandit @ 3.465531
20 Makrani + Pathan + Urkarah + Srivastava @ 3.492489

kujira692
02-03-2016, 07:34 PM
I don't think I have posted my Father's results for this one yet:

1 West_European 50.62
2 Mediterranean 26.05
3 East_European 11.11
4 West_Asian 9.08
5 South_Asian 2.22


ORACLE:
Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 3.79
2 N._European (Xing) 5.07
3 Argyll (1000 Genomes) 5.31
4 Orcadian (HGDP) 5.66
5 Orkney (1000 Genomes) 5.98
6 German (Dodecad) 7.32
7 French (HGDP) 10.15
8 French (Dodecad) 10.48
9 Mixed_Germanic (Dodecad) 10.74
10 Dutch (Dodecad) 11.86
11 Kent (1000 Genomes) 13.99
12 Slovenian (Xing) 14.42
13 British_Isles (Dodecad) 15.79
14 British (Dodecad) 15.91
15 Cornwall (1000 Genomes) 16.46
16 Swedish (Dodecad) 18.58
17 Hungarians (Behar) 18.58
18 Irish (Dodecad) 18.71
19 Norwegian (Dodecad) 19.56
20 French_Basque (HGDP) 21.52

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 94.2% CEU (HapMap) + 5.8% Balochi (HGDP) @ 1.63
2 94.3% CEU (HapMap) + 5.7% Brahui (HGDP) @ 1.66
3 94.3% CEU (HapMap) + 5.7% Makrani (HGDP) @ 1.7
4 89.3% Argyll (1000 Genomes) + 10.7% Sicilian (Dodecad) @ 1.74
5 88.9% Argyll (1000 Genomes) + 11.1% Greek (Dodecad) @ 1.77
6 94.5% CEU (HapMap) + 5.5% Bnei_Menashe_Jews (Behar) @ 1.79
7 94.1% CEU (HapMap) + 5.9% Pathan (HGDP) @ 1.82
8 89.7% Argyll (1000 Genomes) + 10.3% S_Italian (Dodecad) @ 1.83
9 87.5% Argyll (1000 Genomes) + 12.5% C_Italian (Dodecad) @ 1.84
10 94.6% CEU (HapMap) + 5.4% Kashmiri_Pandit (Reich) @ 1.88
11 87.6% Orkney (1000 Genomes) + 12.4% Greek (Dodecad) @ 1.89
12 86.4% Argyll (1000 Genomes) + 13.6% Tuscan (HGDP) @ 1.91
13 89% Argyll (1000 Genomes) + 11% S_Italian_Sicilian (Dodecad) @ 1.91
14 85.6% Argyll (1000 Genomes) + 14.4% O_Italian (Dodecad) @ 1.92
15 94.1% CEU (HapMap) + 5.9% Turks (Behar) @ 1.93
16 95% CEU (HapMap) + 5% Kalash (HGDP) @ 1.94
17 94.1% CEU (HapMap) + 5.9% Kurd (Xing) @ 1.94
18 93.8% CEU (HapMap) + 6.2% Turkish (Dodecad) @ 1.95
19 94.7% CEU (HapMap) + 5.3% Pakistani (Xing) @ 1.95
20 94% CEU (HapMap) + 6% Kurd (Dodecad) @ 1.95


ORACLE-4:
1 CEU @ 4.222146
2 N._European @ 5.607490
3 Argyll @ 5.902965
4 Orcadian @ 6.315532
5 Orkney @ 6.679831
6 German @ 8.084305
7 French @ 11.170502
8 French @ 11.560954
9 Mixed_Germanic @ 11.927336
10 Dutch @ 13.183406
11 Kent @ 15.563723
12 Slovenian @ 15.971180
13 British_Isles @ 17.572495
14 British @ 17.705715
15 Cornwall @ 18.300327
16 Hungarians @ 20.578379
17 Swedish @ 20.638824
18 Irish @ 20.815645
19 Norwegian @ 21.779253
20 French_Basque @ 23.753553

Using 2 populations approximation:
1 50% Kent +50% Slovenian @ 4.083094


Using 3 populations approximation:
1 50% Dutch +25% Orkney +25% Romanians_14 @ 2.049223


Using 4 populations approximation:
1 Cornwall + Orkney + Orkney + Romanians_14 @ 2.020204
2 Irish + Orcadian + Orkney + Romanians_14 @ 2.039806
3 Dutch + Dutch + Orkney + Romanians_14 @ 2.049223
4 Irish + Orkney + Orkney + Romanians_14 @ 2.050535
5 Irish + Orcadian + Orcadian + Romanians_14 @ 2.077887
6 British + Orkney + Orkney + Romanians_14 @ 2.091352
7 Dutch + Kent + Romanians_14 + Argyll @ 2.107764
8 Dutch + Dutch + Orcadian + Romanians_14 @ 2.109181
9 Cornwall + Orcadian + Orkney + Romanians_14 @ 2.119182
10 Dutch + Dutch + Romanians_14 + Argyll @ 2.127910
11 Dutch + Kent + Orkney + Romanians_14 @ 2.134015
12 Irish + Orkney + Romanians_14 + Argyll @ 2.134243
13 Cornwall + Orkney + Romanians_14 + Argyll @ 2.150842
14 CEU + Irish + Orkney + Romanians_14 @ 2.152576
15 Irish + Orcadian + Romanians_14 + Argyll @ 2.154197
16 British + Orcadian + Orkney + Romanians_14 @ 2.170582
17 British_Isles + Orkney + Orkney + Romanians_14 @ 2.171481
18 Dutch + Kent + Orcadian + Romanians_14 @ 2.171628
19 Cornwall + Orcadian + Orcadian + Romanians_14 @ 2.197480
20 British_Isles + Dutch + Romanians_14 + Argyll @ 2.199291

The_Lyonnist
02-13-2016, 07:31 PM
Admix Results (sorted):

# Population Percent (average France)
1 West_European 42.96 (52.05)
2 Mediterranean 30.29 (33.87)
3 West_Asian 11.02 (7.19)
4 East_European 10.75 (3.90)
5 Southwest_Asian 2.68 (0.10)
6 Northwest_African 1.91 (0.40)
7 Northeast_Asian 0.39 (0.20)

Single Population Sharing:

# Population (source) Distance
1 French (HGDP) 11.37
2 CEU (HapMap) 11.37
3 French (Dodecad) 11.43
4 N._European (Xing) 12.6
5 Slovenian (Xing) 12.68
6 Argyll (1000 Genomes) 13.45
7 German (Dodecad) 13.49
8 Orcadian (HGDP) 13.59
9 Orkney (1000 Genomes) 13.98
10 Hungarians (Behar) 16.14
11 Tuscan (Henn) 16.22
12 TSI (HapMap) 16.37
13 Tuscan (Xing) 16.44
14 N_Italian (Dodecad) 16.46
15 Portuguese (Dodecad) 17.38
16 Mixed_Germanic (Dodecad) 17.8
17 Dutch (Dodecad) 18.93
18 Spaniards (Behar) 19.3
19 IBS (1000Genomes) 19.72
20 Spanish (Dodecad) 19.96

tchekitchek
02-13-2016, 09:59 PM
Admix Results (sorted):

# Population Percent
1 West_European 46.38
2 Mediterranean 30.83
3 West_Asian 10.43
4 East_European 9.03
5 Southwest_Asian 2.62
6 Northwest_African 0.29
7 South_Asian 0.23
8 East_African 0.19

Single Population Sharing:

# Population (source) Distance
1 French (HGDP) 7.99
2 French (Dodecad) 8.24
3 CEU (HapMap) 9.02
4 N._European (Xing) 10.56
5 Orcadian (HGDP) 11.13

Postumus
02-17-2016, 03:18 AM
My Dodecad v3 results:

# Population Percent
1 West_European 53.47
2 Mediterranean 27.68
3 East_European 10.57
4 West_Asian 5.01
5 South_Asian 1.62

These population results are similar to FTDNA MyOrigins: 60% Scandinavian + 36% South European + 4% Finnish/ N Siberian


Least-squares method.

Using 1 population approximation:
1 CEU @ 3.505401
2 Orcadian @ 4.689712
3 Orkney @ 4.974426
4 Argyll @ 5.733141
5 N._European @ 6.118862
6 German @ 8.881651
7 French @ 9.482469
8 French @ 9.720383
9 Mixed_Germanic @ 11.229780
10 Dutch @ 11.319199
11 Kent @ 13.451640
12 British_Isles @ 15.289821
13 British @ 15.411566
14 Cornwall @ 16.172543
15 Irish @ 18.664692
16 Slovenian @ 19.219797
17 Swedish @ 19.259256
18 Norwegian @ 19.848551
19 French_Basque @ 20.965834
20 Hungarians @ 23.272932

Using 2 populations approximation:
1 50% French +50% German @ 2.898147


Using 3 populations approximation:
1 50% CEU +25% Spanish +25% Swedish @ 2.360558


Using 4 populations approximation:
1 German + IBS + Orcadian + Swedish @ 1.957147
2 German + Orcadian + Spanish + Swedish @ 1.983593
3 CEU + German + Spanish + Swedish @ 1.984693
4 German + IBS + Orkney + Swedish @ 1.986879
5 German + Orkney + Spanish + Swedish @ 2.015812
6 CEU + German + IBS + Swedish @ 2.043227
7 German + Spanish + Swedish + Argyll @ 2.051434
8 British_Isles + Hungarians + Norwegian + Spaniards @ 2.071963
9 French_Basque + German + Argyll + Argyll @ 2.073753
10 CEU + French_Basque + Norwegian + Slovenian @ 2.078914
11 British_Isles + Hungarians + Norwegian + Spanish @ 2.080894
12 CEU + German + Spaniards + Swedish @ 2.088478
13 German + IBS + Swedish + Argyll @ 2.097749
14 CEU + German + IBS + Norwegian @ 2.099473
15 French_Basque + German + German + Argyll @ 2.115139
16 French_Basque + German + Argyll + N._European @ 2.115401
17 French_Basque + German + German + Orkney @ 2.124392
18 German + IBS + Norwegian + Argyll @ 2.148081
19 CEU + German + Norwegian + Spanish @ 2.150149
20 British + Hungarians + Norwegian + Spaniards @ 2.152994

Done.

L1983
07-03-2016, 10:24 AM
Duplicate

L1983
07-03-2016, 10:26 AM
English + Irish g grandmother

Population Percent
1 West_European 51.15
2 Mediterranean 26.84
3 West_Asian 10.48
4 East_European 8.49
5 South_Asian 1.9
6 Southwest_Asian 0.68
7 Southeast_Asian 0.21
8 Northeast_Asian 0.16
9 Neo_African 0.06
10 Palaeo_African 0.04

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 4.78
2 N._European (Xing) 5.87
3 Argyll (1000 Genomes) 6.28
4 Orcadian (HGDP) 6.36
5 Orkney (1000 Genomes) 6.67

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 66.6% Cornwall (1000 Genomes) + 33.4% Romanians_14 (Behar) @ 1.73
2 70.3% Kent (1000 Genomes) + 29.7% Romanians_14 (Behar) @ 1.88
3 67.2% British (Dodecad) + 32.8% Romanians_14 (Behar) @ 1.94
4 74% Dutch (Dodecad) + 26% Romanians_14 (Behar) @ 1.94
5 78.5% Orkney (1000 Genomes) + 21.5% TSI (HapMap) @ 2.12
6 79.7% Argyll (1000 Genomes) + 20.3% TSI (HapMap) @ 2.22
7 78.9% Orkney (1000 Genomes) + 21.1% Tuscan (Xing) @ 2.23
8 79.5% Orcadian (HGDP) + 20.5% TSI (HapMap) @ 2.23
9 82.9% Argyll (1000 Genomes) + 17.1% O_Italian (Dodecad) @ 2.23
10 67.3% British_Isles (Dodecad) + 32.7% Romanians_14 (Behar) @ 2.26

Using 2 populations approximation:
1 50% N_Italian +50% Swedish @ 4.121305


Using 3 populations approximation:
1 50% Dutch +25% Dutch +25% Romanians_14 @ 2.189693


Using 4 populations approximation:
1 French + Irish + Mixed_Germanic + Romanians_14 @ 2.121783
2 Kent + Argyll + Argyll + Tuscan @ 2.151921
3 Dutch + TSI + Argyll + Argyll @ 2.183813
4 Dutch + Dutch + Dutch + Romanians_14 @ 2.189693
5 Dutch + Argyll + Argyll + Tuscan @ 2.204478
6 Dutch + Orkney + Argyll + Tuscan @ 2.211290
7 Kent + TSI + Argyll + Argyll @ 2.234000
8 Kent + Orkney + Argyll + Tuscan @ 2.241040
9 Kent + Orcadian + Argyll + Tuscan @ 2.246742
10 Dutch + Orcadian + Argyll + Tuscan @ 2.250730
11 Norwegian + Tuscan + Argyll + Argyll @ 2.253217
12 British_Isles + Argyll + Argyll + Tuscan @ 2.261410
13 Mixed_Germanic + Swedish + Tuscan + Argyll @ 2.265710
14 Dutch + French + Irish + Romanians_14 @ 2.275117
15 Dutch + Orkney + TSI + Argyll @ 2.277107
16 Cornwall + Greek + Norwegian + Orkney @ 2.281183
17 British + Greek + Norwegian + Orkney @ 2.282793
18 British + Greek + Norwegian + Orcadian @ 2.299838
19 Dutch + Orcadian + TSI + Argyll @ 2.300964
20 Cornwall + Greek + Norwegian + Orcadian @ 2.314093

Abd.H
08-19-2016, 12:09 AM
Interesting calculator
My results show strong Jewish components
Also the Syrian average for West_European in the spreadsheet is 1.8 while I scored 7.19
and the Syrian average for Southwest_Asian is 28.37 ,but I scored 19.05

# Population Percent
1 West_Asian 34.73
2 Mediterranean 28.03
3 Southwest_Asian 19.05
4 West_European 7.19
5 South_Asian 4.15
6 East_European 1.99
7 Northwest_African 1.61
8 East_African 1.38
9 Neo_African 0.84
10 Palaeo_African 0.64
11 Southeast_Asian 0.37

Single Population Sharing:

# Population (source) Distance
1 Georgia_Jews (Behar) 5.47
2 Uzbekistan_Jews (Behar) 6
3 Iranian_Jews (Behar) 7.16
4 Lebanese (Behar) 8.05
5 Iraq_Jews (Behar) 8.05
6 Azerbaijan_Jews (Behar) 8.29
7 Druze (HGDP) 8.29
8 Palestinian (HGDP) 9.67
9 Samaritians (Behar) 9.89
10 Syrians (Behar) 10.68
11 Kurd (Xing) 10.86
12 Turkish (Dodecad) 12.29
13 Jordanians_19 (Behar) 12.4
14 Kurd (Dodecad) 12.73
15 Morocco_Jews (Behar) 14.58
16 Cypriots (Behar) 15.37
17 Assyrian (Dodecad) 15.53
18 Turks (Behar) 15.55
19 Ashkenazi (Dodecad) 16.63
20 Iranians (Behar) 16.66

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 71.5% Iranian_Jews (Behar) + 28.5% Ashkenazy_Jews (Behar) @ 1.98
2 70.7% Iranian_Jews (Behar) + 29.3% Ashkenazi (Dodecad) @ 2.14
3 88.8% Georgia_Jews (Behar) + 11.2% North_Italian (HGDP) @ 2.21
4 90.3% Georgia_Jews (Behar) + 9.7% IBS (1000Genomes) @ 2.21
5 86.5% Georgia_Jews (Behar) + 13.5% Tuscan (HGDP) @ 2.23
6 90.5% Georgia_Jews (Behar) + 9.5% Spanish (Dodecad) @ 2.23
7 84.9% Georgia_Jews (Behar) + 15.1% O_Italian (Dodecad) @ 2.24
8 89.7% Georgia_Jews (Behar) + 10.3% Sardinian (HGDP) @ 2.24
9 88.2% Georgia_Jews (Behar) + 11.8% N_Italian (Dodecad) @ 2.3
10 83.6% Georgia_Jews (Behar) + 16.4% C_Italian (Dodecad) @ 2.31
11 90.6% Georgia_Jews (Behar) + 9.4% Spaniards (Behar) @ 2.31
12 90.2% Georgia_Jews (Behar) + 9.8% Portuguese (Dodecad) @ 2.34
13 87.1% Iranian_Jews (Behar) + 12.9% Portuguese (Dodecad) @ 2.41
14 77.1% Georgia_Jews (Behar) + 22.9% Ashkenazi (Dodecad) @ 2.44
15 69.1% Iraq_Jews (Behar) + 30.9% Ashkenazy_Jews (Behar) @ 2.44
16 81% Georgia_Jews (Behar) + 19% S_Italian_Sicilian (Dodecad) @ 2.49
17 77.9% Georgia_Jews (Behar) + 22.1% Ashkenazy_Jews (Behar) @ 2.49
18 68.2% Iranian_Jews (Behar) + 31.8% Morocco_Jews (Behar) @ 2.51
19 74.8% Georgia_Jews (Behar) + 25.2% Morocco_Jews (Behar) @ 2.54
20 82.3% Georgia_Jews (Behar) + 17.7% Sicilian (Dodecad) @ 2.54


Using 3 populations approximation:
1 50% Georgia_Jews +25% Morocco_Jews +25% Uzbekistan_Jews @ 1.866633

Using 4 populations approximation:
1 Georgia_Jews + Iranians + Jordanians_19 + S_Italian_Sicilian @ 1.057902
2 C_Italian + Iranians + Iraq_Jews + Jordanians_19 @ 1.071091
3 Ashkenazi + Iraq_Jews + Palestinian + Kurd @ 1.093205
4 Ashkenazi + Iraq_Jews + Jordanians_19 + Kurd @ 1.163426
5 Azerbaijan_Jews + Morocco_Jews + Syrians + Uzbekistan_Jews @ 1.236109
6 Georgia_Jews + Kurd + S_Italian_Sicilian + Syrians @ 1.254037
7 Georgia_Jews + Iranians + Palestinian + S_Italian_Sicilian @ 1.265442
8 Ashkenazi + Iraq_Jews + Jordanians_19 + Kurd @ 1.267125
9 Ashkenazi + Iranian_Jews + Jordanians_19 + Kurd @ 1.272920
10 Ashkenazy_Jews + Azerbaijan_Jews + Iranian_Jews + Syrians @ 1.274214
11 C_Italian + Iranian_Jews + Iranians + Jordanians_19 @ 1.302236
12 Ashkenazi + Azerbaijan_Jews + Jordanians_19 + Kurd @ 1.307091
13 Ashkenazi + Iraq_Jews + Lebanese + Kurd @ 1.341450
14 C_Italian + Georgia_Jews + Iranians + Jordanians_19 @ 1.349411
15 Ashkenazi + Druze + Syrians + Kurd @ 1.358423
16 Ashkenazy_Jews + Iraq_Jews + Jordanians_19 + Kurd @ 1.398793
17 Georgia_Jews + Iranians + S_Italian_Sicilian + Syrians @ 1.462853
18 Armenian + Bedouin + C_Italian + Iranians @ 1.465600
19 Ashkenazi + Iraq_Jews + Syrians + Uzbekistan_Jews @ 1.467404
20 Ashkenazi + Iranian_Jews + Syrians + Uzbekistan_Jews @ 1.470583

Mofrad
08-19-2016, 01:35 PM
Me:

1 Mediterranean 27.18
2 West_European 25.06
3 West_Asian 22
4 East_European 10.14
5 Southwest_Asian 9.16
6 Northwest_African 3.72
7 South_Asian 1.68
8 Northeast_Asian 0.8
9 Southeast_Asian 0.23
10 East_African 0.03

Father:

1 West_Asian 30.49
2 Mediterranean 25.17
3 West_European 17.52
4 East_European 9.12
5 Southwest_Asian 8.94
6 South_Asian 4.71
7 Northeast_Asian 1.81
8 Southeast_Asian 1.12
9 East_African 0.66
10 Northwest_African 0.45
11 Neo_African 0.01

Mother:

1 West_European 34.17
2 Mediterranean 31.35
3 West_Asian 14.92
4 Southwest_Asian 6.9
5 East_European 6.39
6 Northwest_African 4.91
7 South_Asian 0.54
8 East_African 0.43
9 Southeast_Asian 0.17
10 Palaeo_African 0.16
11 Neo_African 0.08

My father also shows a strong Jewish ancestry (his father was born Iran, his mother mixed Europe)

Father:

1 Ashkenazy_Jews (Behar) 11.69
2 Ashkenazi (Dodecad) 12.61
3 Stalskoe (Xing) 13.76
4 Turkish (Dodecad) 13.99
5 Uzbekistan_Jews (Behar) 15.1
6 Kurd (Dodecad) 16.61
7 Morocco_Jews (Behar) 16.68
8 Kurd (Xing) 16.69
9 Turks (Behar) 17.63
10 Greek (Dodecad) 18.96
11 Georgia_Jews (Behar) 19.08
12 Tuscan (Xing) 19.34
13 Azerbaijan_Jews (Behar) 19.46
14 S_Italian_Sicilian (Dodecad) 20
15 TSI (HapMap) 20.35
16 Tuscan (Henn) 20.54
17 Iranian_Jews (Behar) 20.66
18 Urkarah (Xing) 20.67
19 C_Italian (Dodecad) 20.91
20 Romanians_14 (Behar) 21.1

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 61.3% Azerbaijan_Jews (Behar) + 38.7% Slovenian (Xing) @ 3.53
2 62% Azerbaijan_Jews (Behar) + 38% Hungarians (Behar) @ 3.69
3 65.1% Kurd (Xing) + 34.9% Slovenian (Xing) @ 3.79
4 67.5% Uzbekistan_Jews (Behar) + 32.5% Slovenian (Xing) @ 3.9
5 68.2% Uzbekistan_Jews (Behar) + 31.8% Hungarians (Behar) @ 3.95
6 65.8% Kurd (Xing) + 34.2% Hungarians (Behar) @ 4.07
7 74.6% Turkish (Dodecad) + 25.4% German (Dodecad) @ 4.17
8 69.4% Turkish (Dodecad) + 30.6% Slovenian (Xing) @ 4.31
9 56.3% Kurd (Dodecad) + 43.7% Romanians_14 (Behar) @ 4.58
10 79.2% Turkish (Dodecad) + 20.8% FIN (1000Genomes) @ 4.62
11 74.7% Turkish (Dodecad) + 25.3% N._European (Xing) @ 4.66
12 53.6% Assyrian (Dodecad) + 46.4% Slovenian (Xing) @ 4.72
13 66.1% Kurd (Dodecad) + 33.9% Hungarians (Behar) @ 4.73
14 60% Iranian_Jews (Behar) + 40% Slovenian (Xing) @ 4.74
15 79.4% Turkish (Dodecad) + 20.6% Swedish (Dodecad) @ 4.78
16 71% Kurd (Xing) + 29% German (Dodecad) @ 4.82
17 62.5% Stalskoe (Xing) + 37.5% Sephardic_Jews (Behar) @ 4.89
18 65.5% Kurd (Dodecad) + 34.5% Slovenian (Xing) @ 4.91
19 71% Kurd (Xing) + 29% CEU (HapMap) @ 4.93
20 75.4% Turkish (Dodecad) + 24.6% Argyll (1000 Genomes) @ 4.94

E_M81_I3A
09-13-2016, 05:48 PM
Interesting results for a native from French island of Reunion :

35.63% West_European
17.22% Mediterranean
8.40% West_Asian
8.26% South_Asian
7.00% Southeast_Asian
6.47% Neo_African
4.69% Palaeo_African
4.46% East_European
3.49% East_African
2.17% Northeast_Asian
2.00% Northwest_African
0.22% Southwest_Asian

cvolt
09-13-2016, 08:02 PM
Mine

# Population Percent
1 West_European 52.5
2 Mediterranean 26.3
3 East_European 11.91
4 West_Asian 6.69
5 Northeast_Asian 1.25
6 Northwest_African 0.6
7 South_Asian 0.42
8 Southwest_Asian 0.17
9 Neo_African 0.15

Bonacci
09-13-2016, 08:58 PM
edit..

Amerijoe
09-13-2016, 09:39 PM
# Population Percent
1 West_European 53.52
2 Mediterranean 25.82
3 East_European 9.94
4 West_Asian 7.42
5 South_Asian 1.41
6 Southwest_Asian 1.36
7 Northeast_Asian 0.3
8 Neo_African 0.13
9 Northwest_African 0.1

JFWinstone
09-14-2016, 12:30 PM
Me:

Admix Results (sorted):

# Population Percent
1 West_European 40.78
2 Mediterranean 18.33
3 Southeast_Asian 9.29
4 East_European 9.25
5 West_Asian 6.58
6 Neo_African 4.29
7 South_Asian 3.86
8 Palaeo_African 3.04
9 Northwest_African 2.45
10 Northeast_Asian 2.1
11 Southwest_Asian 0.03

Single Population Sharing:

# Population (source) Distance
1 N._European (Xing) 17.74
2 Slovenian (Xing) 17.91
3 German (Dodecad) 18.25
4 CEU (HapMap) 18.43
5 Argyll (1000 Genomes) 18.89
6 Orcadian (HGDP) 19.57
7 Orkney (1000 Genomes) 19.61
8 Hungarians (Behar) 21.15
9 French (HGDP) 21.97
10 Mixed_Germanic (Dodecad) 22.18
11 French (Dodecad) 22.2
12 Dutch (Dodecad) 23.38
13 Kent (1000 Genomes) 25.14
14 British_Isles (Dodecad) 26.34
15 British (Dodecad) 26.4
16 Tuscan (Xing) 26.42
17 Swedish (Dodecad) 26.57
18 Tuscan (Henn) 26.74
19 Cornwall (1000 Genomes) 26.88
20 TSI (HapMap) 26.96

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 83.5% N._European (Xing) + 16.5% Thai (Xing) @ 8.61
2 73.6% CEU (HapMap) + 26.4% Uygur (HGDP) @ 8.71
3 72.9% CEU (HapMap) + 27.1% Hazara (HGDP) @ 8.81
4 82.9% CEU (HapMap) + 17.1% Thai (Xing) @ 8.86
5 71.3% Orkney (1000 Genomes) + 28.7% Hazara (HGDP) @ 8.87
6 84.1% N._European (Xing) + 15.9% Nysha (Reich) @ 8.88
7 71.4% Orcadian (HGDP) + 28.6% Hazara (HGDP) @ 8.91
8 74% N._European (Xing) + 26% Hazara (HGDP) @ 8.92
9 83.7% N._European (Xing) + 16.3% Tu (HGDP) @ 8.93
10 72.2% Orkney (1000 Genomes) + 27.8% Uygur (HGDP) @ 8.94
11 84.7% N._European (Xing) + 15.3% Khmer_Cambodian (Xing) @ 8.94
12 74.7% N._European (Xing) + 25.3% Uygur (HGDP) @ 8.95
13 72.2% Orcadian (HGDP) + 27.8% Uygur (HGDP) @ 8.97
14 82.6% Argyll (1000 Genomes) + 17.4% Thai (Xing) @ 9.09
15 72.4% Argyll (1000 Genomes) + 27.6% Hazara (HGDP) @ 9.09
16 84.6% N._European (Xing) + 15.4% Aonaga (Reich) @ 9.11
17 85% N._European (Xing) + 15% Cambodians (HGDP) @ 9.13
18 83.5% CEU (HapMap) + 16.5% Nysha (Reich) @ 9.16
19 84.4% N._European (Xing) + 15.6% Japanese (Dodecad) @ 9.19
20 83.1% CEU (HapMap) + 16.9% Tu (HGDP) @ 9.2

Using 2 populations approximation:
1 50% British_Isles +50% Hazara @ 14.605645


Using 3 populations approximation:
1 50% CEU +25% Hazara +25% N._European @ 8.272342


Using 4 populations approximation:
1 German + Portuguese + Swedish + Uygur @ 7.174776
2 German + Norwegian + Portuguese + Uygur @ 7.323870
3 Portuguese + Swedish + Uygur + N._European @ 7.398913
4 British + FIN + Portuguese + Uygur @ 7.438280
5 Portuguese + Swedish + Uygur + Argyll @ 7.444130
6 Dutch + FIN + Portuguese + Uygur @ 7.465373
7 FIN + Kent + Portuguese + Uygur @ 7.469774
8 Cornwall + FIN + Portuguese + Uygur @ 7.472660
9 British_Isles + FIN + Portuguese + Uygur @ 7.473572
10 Orkney + Portuguese + Swedish + Uygur @ 7.497169
11 CEU + Portuguese + Swedish + Uygur @ 7.499651
12 Orcadian + Portuguese + Swedish + Uygur @ 7.529447
13 German + Hazara + Portuguese + Swedish @ 7.545339
14 FIN + Mixed_Germanic + Portuguese + Uygur @ 7.598089
15 FIN + Irish + Portuguese + Uygur @ 7.601802
16 British + FIN + Hazara + Portuguese @ 7.673161
17 British_Isles + FIN + Hazara + Portuguese @ 7.675694
18 Cornwall + FIN + Hazara + Portuguese @ 7.701857
19 German + IBS + Swedish + Uygur @ 7.708024
20 FIN + Hazara + Kent + Portuguese @ 7.710088

JFWinstone
09-14-2016, 12:41 PM
Mum:

Admix Results (sorted):

# Population Percent
1 West_European 26.27
2 Southeast_Asian 19.25
3 Mediterranean 11.38
4 Neo_African 9.65
5 South_Asian 8.3
6 East_European 7.11
7 Palaeo_African 6.27
8 West_Asian 4.72
9 Northeast_Asian 3.21
10 Northwest_African 2.67
11 East_African 1.17

Single Population Sharing:

# Population (source) Distance
1 Uzbeks (Behar) 32.52
2 Hazara (HGDP) 32.8
3 Slovenian (Xing) 33.81
4 Uygur (HGDP) 34.26
5 Hungarians (Behar) 35.2
6 Nepalese (Xing) 36.45
7 Romanians_14 (Behar) 37.32
8 Tuscan (Xing) 37.43
9 Balkans (Dodecad) 37.46
10 N._European (Xing) 37.65
11 Stalskoe (Xing) 37.71
12 German (Dodecad) 37.71
13 Tuscan (Henn) 38.09
14 Ashkenazy_Jews (Behar) 38.1
15 CEU (HapMap) 38.42
16 TSI (HapMap) 38.42
17 Argyll (1000 Genomes) 38.87
18 Ashkenazi (Dodecad) 39.48
19 Orcadian (HGDP) 39.54
20 Algeria (Henn) 39.55

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 67.9% Slovenian (Xing) + 32.1% Thai (Xing) @ 17.55
2 70.4% Slovenian (Xing) + 29.6% Khmer_Cambodian (Xing) @ 18.03
3 64.9% N._European (Xing) + 35.1% Thai (Xing) @ 18.14
4 64.9% German (Dodecad) + 35.1% Thai (Xing) @ 18.25
5 64.4% CEU (HapMap) + 35.6% Thai (Xing) @ 18.43
6 64.1% Argyll (1000 Genomes) + 35.9% Thai (Xing) @ 18.59
7 69.5% Slovenian (Xing) + 30.5% Nysha (Reich) @ 18.64
8 71.1% Slovenian (Xing) + 28.9% Cambodians (HGDP) @ 18.68
9 72% Slovenian (Xing) + 28% MAS (SGVP) @ 18.82
10 70.5% Slovenian (Xing) + 29.5% Aonaga (Reich) @ 18.96
11 63.7% Orcadian (HGDP) + 36.3% Thai (Xing) @ 18.98
12 63.7% Orkney (1000 Genomes) + 36.3% Thai (Xing) @ 18.99
13 67.6% N._European (Xing) + 32.4% Khmer_Cambodian (Xing) @ 19
14 67.5% German (Dodecad) + 32.5% Khmer_Cambodian (Xing) @ 19
15 68.9% Slovenian (Xing) + 31.1% Tu (HGDP) @ 19.04
16 72.5% Slovenian (Xing) + 27.5% Vietnamese (Xing) @ 19.1
17 71.8% Slovenian (Xing) + 28.2% Naxi (HGDP) @ 19.17
18 67.3% Hungarians (Behar) + 32.7% Thai (Xing) @ 19.18
19 72% Slovenian (Xing) + 28% Yizu (HGDP) @ 19.2
20 66.4% N._European (Xing) + 33.6% Nysha (Reich) @ 19.23

Using 2 populations approximation:
1 50% Hazara +50% N._European @ 18.178377


Using 3 populations approximation:
1 50% N._European +25% Thai +25% Siddi @ 3.978512


Using 4 populations approximation:
1 British + Slovenian + Thai + Siddi @ 3.744421
2 British_Isles + Slovenian + Thai + Siddi @ 3.751964
3 Kent + Slovenian + Thai + Siddi @ 3.791833
4 Cornwall + Slovenian + Thai + Siddi @ 3.801795
5 Hungarians + Irish + Khmer_Cambodian + Siddi @ 3.832277
6 British_Isles + Khmer_Cambodian + Slovenian + Siddi @ 3.839290
7 Hungarians + Irish + Thai + Siddi @ 3.846614
8 British + Khmer_Cambodian + Slovenian + Siddi @ 3.856575
9 Irish + Slovenian + Thai + Siddi @ 3.872930
10 German + Khmer_Cambodian + N._European + Siddi @ 3.882721
11 Dutch + Slovenian + Thai + Siddi @ 3.887241
12 Kent + Khmer_Cambodian + Slovenian + Siddi @ 3.906835
13 German + N._European + Thai + Siddi @ 3.914218
14 German + Argyll + Khmer_Cambodian + Siddi @ 3.916524
15 Cornwall + Hungarians + Thai + Siddi @ 3.920411
16 Irish + Khmer_Cambodian + Slovenian + Siddi @ 3.925012
17 Cornwall + Khmer_Cambodian + Slovenian + Siddi @ 3.942888
18 British + Hungarians + Thai + Siddi @ 3.943006
19 N._European + N._European + Thai + Siddi @ 3.978512
20 British_Isles + Hungarians + Thai + Siddi @ 3.982447

Bonacci
10-10-2016, 01:11 PM
Some individuals i share with&know their ancestry

Near Eastern groups:

Afghan Pashtun

# Population Percent
1 West_Asian 30.76
2 South_Asian 26.34
3 West_European 13.53
4 Mediterranean 9.53
5 East_European 6.23
6 Southwest_Asian 6.16
7 Southeast_Asian 3.82
8 Northeast_Asian 3.46
9 East_African 0.16

Single Population Sharing:

# Population (source) Distance
1 Balochi (HGDP) 10.39
2 Brahui (HGDP) 10.89
3 Makrani (HGDP) 11.42
4 Pathan (HGDP) 13.11
5 Burusho (HGDP) 17.17
6 Kashmiri_Pandit (Reich) 18.16
7 Bnei_Menashe_Jews (Behar) 18.65
8 Pakistani (Xing) 19.59
9 Kalash (HGDP) 20.07
10 Sindhi (HGDP) 20.45
11 Kurd (Dodecad) 22.46
12 Stalskoe (Xing) 23.11
13 Iranians (Behar) 23.98
14 Kurd (Xing) 24.35
15 Iranian (Dodecad) 24.56
16 Urkarah (Xing) 25.86
17 Uzbekistan_Jews (Behar) 26.51
18 Cochin_Jews (Behar) 28.61
19 Nepalese (Xing) 28.75
20 Vaish (Reich) 29.57

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 62.4% Stalskoe (Xing) + 37.6% Velama (Reich) @ 2.72
2 54.2% Pakistani (Xing) + 45.8% Stalskoe (Xing) @ 3.3
3 53.1% Sindhi (HGDP) + 46.9% Stalskoe (Xing) @ 3.39
4 52.6% Urkarah (Xing) + 47.4% Cochin_Jews (Behar) @ 3.41
5 64.4% Pathan (HGDP) + 35.6% Stalskoe (Xing) @ 3.5
6 56.2% Kashmiri_Pandit (Reich) + 43.8% Stalskoe (Xing) @ 3.53
7 59.3% Stalskoe (Xing) + 40.7% TN_Brahmin (Xing) @ 3.65
8 55.4% Stalskoe (Xing) + 44.6% Cochin_Jews (Behar) @ 3.68
9 56.8% Stalskoe (Xing) + 43.2% Meghawal (Reich) @ 3.72
10 67.4% Stalskoe (Xing) + 32.6% Vysya (Reich) @ 3.82
11 64.4% Stalskoe (Xing) + 35.6% INS (SGVP) @ 4.02
12 57% Burusho (HGDP) + 43% Kurd (Dodecad) @ 4.03
13 60% Stalskoe (Xing) + 40% AP_Brahmin (Xing) @ 4.25
14 73.7% Stalskoe (Xing) + 26.3% Irula (Xing) @ 4.29
15 59.9% Stalskoe (Xing) + 40.1% Srivastava (Reich) @ 4.35
16 65.7% Stalskoe (Xing) + 34.3% Hallaki (Reich) @ 4.38
17 65.9% Stalskoe (Xing) + 34.1% Naidu (Reich) @ 4.38
18 58.4% Bnei_Menashe_Jews (Behar) + 41.6% Urkarah (Xing) @ 4.39
19 72% Stalskoe (Xing) + 28% North_Kannadi (Behar) @ 4.4
20 61.8% Stalskoe (Xing) + 38.2% Indian (Dodecad) @ 4.41


Sunni Lebanese from Beirut
# Population Percent
1 Mediterranean 29.79
2 West_Asian 28.19
3 Southwest_Asian 19.19
4 West_European 5.77
5 East_African 4.71
6 South_Asian 3.94
7 Northwest_African 2.85
8 Neo_African 2.26
9 Palaeo_African 1.51
10 East_European 0.93
11 Southeast_Asian 0.71
12 Northeast_Asian 0.16

Single Population Sharing:

# Population (source) Distance
1 Palestinian (HGDP) 7.24
2 Lebanese (Behar) 7.78
3 Jordanians_19 (Behar) 10.33
4 Samaritians (Behar) 11.13
5 Georgia_Jews (Behar) 11.44
6 Morocco_Jews (Behar) 11.63
7 Syrians (Behar) 12.08
8 Uzbekistan_Jews (Behar) 12.24
9 Druze (HGDP) 12.57
10 Iranian_Jews (Behar) 12.79
11 Iraq_Jews (Behar) 13.37
12 Egypt (Henn) 13.65
13 Azerbaijan_Jews (Behar) 14.76
14 Sephardic_Jews (Behar) 15.32
15 Ashkenazi (Dodecad) 15.61
16 Cypriots (Behar) 15.87
17 Ashkenazy_Jews (Behar) 16.33
18 Kurd (Xing) 16.6
19 Turkish (Dodecad) 16.87
20 Kurd (Dodecad) 18.3

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 82.6% Palestinian (HGDP) + 17.4% Tuscan (HGDP) @ 3.57
2 80.7% Palestinian (HGDP) + 19.3% O_Italian (Dodecad) @ 3.6
3 78.9% Palestinian (HGDP) + 21.1% C_Italian (Dodecad) @ 3.63
4 85.8% Palestinian (HGDP) + 14.2% North_Italian (HGDP) @ 3.7
5 85% Palestinian (HGDP) + 15% N_Italian (Dodecad) @ 3.7
6 75.4% Palestinian (HGDP) + 24.6% S_Italian_Sicilian (Dodecad) @ 3.89
7 71.2% Palestinian (HGDP) + 28.8% Ashkenazi (Dodecad) @ 3.9
8 72.2% Palestinian (HGDP) + 27.8% Ashkenazy_Jews (Behar) @ 3.91
9 82.1% Palestinian (HGDP) + 17.9% TSI (HapMap) @ 3.97
10 76.9% Palestinian (HGDP) + 23.1% Sicilian (Dodecad) @ 3.99
11 88% Palestinian (HGDP) + 12% IBS (1000Genomes) @ 4.04
12 86.5% Lebanese (Behar) + 13.5% Portuguese (Dodecad) @ 4.04
13 78.7% Palestinian (HGDP) + 21.3% Greek (Dodecad) @ 4.05
14 88.3% Palestinian (HGDP) + 11.7% Spanish (Dodecad) @ 4.07
15 88.4% Palestinian (HGDP) + 11.6% Spaniards (Behar) @ 4.09
16 64.7% Palestinian (HGDP) + 35.3% Morocco_Jews (Behar) @ 4.15
17 76.9% Palestinian (HGDP) + 23.1% S_Italian (Dodecad) @ 4.18
18 87.8% Palestinian (HGDP) + 12.2% Portuguese (Dodecad) @ 4.19
19 87.1% Lebanese (Behar) + 12.9% IBS (1000Genomes) @ 4.21
20 87.5% Lebanese (Behar) + 12.5% Spaniards (Behar) @ 4.24


Greek Orthodox Palestinian
# Population Percent
1 West_Asian 32.69
2 Mediterranean 28.64
3 Southwest_Asian 26.94
4 West_European 3.98
5 Northwest_African 3.14
6 East_African 2.91
7 South_Asian 1.11
8 Neo_African 0.27
9 Northeast_Asian 0.19
10 East_European 0.08
11 Palaeo_African 0.05

Single Population Sharing:

# Population (source) Distance
1 Samaritians (Behar) 4.77
2 Lebanese (Behar) 5.08
3 Palestinian (HGDP) 5.27
4 Jordanians_19 (Behar) 5.95
5 Syrians (Behar) 6.74
6 Georgia_Jews (Behar) 8.43
7 Iraq_Jews (Behar) 9.84
8 Druze (HGDP) 10.02
9 Iranian_Jews (Behar) 10.59
10 Uzbekistan_Jews (Behar) 13.01
11 Azerbaijan_Jews (Behar) 13.5
12 Egypt (Henn) 16.68
13 Morocco_Jews (Behar) 17.06
14 Cypriots (Behar) 17.29
15 Kurd (Xing) 17.58
16 Assyrian (Dodecad) 17.95
17 Bedouin (HGDP) 19.29
18 Kurd (Dodecad) 19.4
19 Turkish (Dodecad) 19.71
20 Sephardic_Jews (Behar) 20.17

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 66.5% Druze (HGDP) + 33.5% Bedouin (HGDP) @ 2.82
2 58.2% Samaritians (Behar) + 41.8% Jordanians_19 (Behar) @ 3.08
3 54.1% Samaritians (Behar) + 45.9% Palestinian (HGDP) @ 3.13
4 86.4% Samaritians (Behar) + 13.6% Yemenese (Behar) @ 3.19
5 84.3% Samaritians (Behar) + 15.7% Bedouin (HGDP) @ 3.2
6 62.7% Samaritians (Behar) + 37.3% Syrians (Behar) @ 3.22
7 86.3% Samaritians (Behar) + 13.7% Egyptans (Behar) @ 3.43
8 89.3% Samaritians (Behar) + 10.7% Libya (Henn) @ 3.6
9 66.4% Jordanians_19 (Behar) + 33.6% Druze (HGDP) @ 3.6
10 93.9% Samaritians (Behar) + 6.1% Saudis (Behar) @ 3.6
11 61.8% Jordanians_19 (Behar) + 38.2% Georgia_Jews (Behar) @ 3.65
12 95.8% Samaritians (Behar) + 4.2% Finnish (Dodecad) @ 3.67
13 95.4% Samaritians (Behar) + 4.6% Ethiopian_Jews (Behar) @ 3.67
14 95.7% Samaritians (Behar) + 4.3% FIN (1000Genomes) @ 3.68
15 84.3% Samaritians (Behar) + 15.7% Egypt (Henn) @ 3.68
16 95.7% Samaritians (Behar) + 4.3% Swedish (Dodecad) @ 3.69
17 95.8% Samaritians (Behar) + 4.2% Norwegian (Dodecad) @ 3.71
18 95.5% Samaritians (Behar) + 4.5% Ethiopians (Behar) @ 3.72
19 95.7% Samaritians (Behar) + 4.3% East_African (Dodecad) @ 3.79
20 94.2% Samaritians (Behar) + 5.8% Yemen_Jews (Behar) @ 3.84


Sunni Palestinian
# Population Percent
1 West_Asian 26.75
2 Mediterranean 24.29
3 Southwest_Asian 23.15
4 East_African 6.34
5 Northwest_African 5.13
6 West_European 4.12
7 South_Asian 3.92
8 Neo_African 2.6
9 Palaeo_African 1.37
10 East_European 1.02
11 Southeast_Asian 0.8
12 Northeast_Asian 0.5

Single Population Sharing:

# Population (source) Distance
1 Palestinian (HGDP) 5.78
2 Jordanians_19 (Behar) 7.59
3 Lebanese (Behar) 8.56
4 Egypt (Henn) 9.83
5 Syrians (Behar) 9.84
6 Georgia_Jews (Behar) 12.74
7 Samaritians (Behar) 12.87
8 Uzbekistan_Jews (Behar) 14.27
9 Iranian_Jews (Behar) 14.7
10 Iraq_Jews (Behar) 15.32
11 Druze (HGDP) 15.86
12 Egyptans (Behar) 16.09
13 Morocco_Jews (Behar) 16.28
14 Yemenese (Behar) 16.32
15 Azerbaijan_Jews (Behar) 17.45
16 Bedouin (HGDP) 18.03
17 Kurd (Xing) 18.13
18 Kurd (Dodecad) 19.44
19 Libya (Henn) 19.67
20 Ashkenazi (Dodecad) 20.37

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 59.5% Egypt (Henn) + 40.5% Uzbekistan_Jews (Behar) @ 2.15
2 53.1% Uzbekistan_Jews (Behar) + 46.9% Egyptans (Behar) @ 2.47
3 56.9% Egypt (Henn) + 43.1% Georgia_Jews (Behar) @ 2.71
4 67.1% Egypt (Henn) + 32.9% Kurd (Dodecad) @ 2.79
5 65.6% Egypt (Henn) + 34.4% Kurd (Xing) @ 2.89
6 60.7% Egypt (Henn) + 39.3% Iranian_Jews (Behar) @ 3.14
7 64.9% Egypt (Henn) + 35.1% Azerbaijan_Jews (Behar) @ 3.28
8 92% Palestinian (HGDP) + 8% Vaish (Reich) @ 3.36
9 69.7% Egypt (Henn) + 30.3% Iranians (Behar) @ 3.4
10 93.4% Palestinian (HGDP) + 6.6% Sahariya (Reich) @ 3.41
11 93.4% Palestinian (HGDP) + 6.6% Satnami (Reich) @ 3.42
12 53.1% Egyptans (Behar) + 46.9% Kurd (Xing) @ 3.44
13 57.5% Iranian_Jews (Behar) + 42.5% Libya (Henn) @ 3.45
14 92.9% Palestinian (HGDP) + 7.1% Tharu (Reich) @ 3.45
15 92.7% Palestinian (HGDP) + 7.3% Srivastava (Reich) @ 3.48
16 94% Palestinian (HGDP) + 6% Chenchu (Reich) @ 3.48
17 93.9% Palestinian (HGDP) + 6.1% Madiga (Reich) @ 3.49
18 93.3% Palestinian (HGDP) + 6.7% Lodi (Reich) @ 3.51
19 93.8% Palestinian (HGDP) + 6.2% Bhil (Reich) @ 3.54
20 94% Palestinian (HGDP) + 6% AP_Mala (Xing) @ 3.55



Jewish, South European groups:

Ashkenazi Jewish with ancesors from Poland and South-Western Ukraine
# Population Percent
1 Mediterranean 33.84
2 West_Asian 22.84
3 West_European 17.92
4 Southwest_Asian 13.76
5 East_European 4.26
6 Northwest_African 4.03
7 Southeast_Asian 0.98
8 East_African 0.86
9 Northeast_Asian 0.7
10 Neo_African 0.7
11 Palaeo_African 0.1

Single Population Sharing:

# Population (source) Distance
1 Ashkenazi (Dodecad) 2.57
2 Ashkenazy_Jews (Behar) 2.82
3 Morocco_Jews (Behar) 6.21
4 S_Italian_Sicilian (Dodecad) 11.18
5 C_Italian (Dodecad) 12.37
6 Sephardic_Jews (Behar) 12.67
7 Tuscan (Xing) 13.1
8 Sicilian (Dodecad) 13.36
9 O_Italian (Dodecad) 13.44
10 Tuscan (Henn) 13.75
11 TSI (HapMap) 14.17
12 S_Italian (Dodecad) 14.29
13 Greek (Dodecad) 14.88
14 Tuscan (HGDP) 17.88
15 Lebanese (Behar) 20.31
16 Palestinian (HGDP) 20.35
17 Uzbekistan_Jews (Behar) 20.38
18 Turkish (Dodecad) 20.43
19 Cypriots (Behar) 20.52
20 Georgia_Jews (Behar) 21.35

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 94.8% Ashkenazi (Dodecad) + 5.2% Sahara_OCC (Henn) @ 1.27
2 92.6% Ashkenazi (Dodecad) + 7.4% Libya (Henn) @ 1.3
3 93.3% Ashkenazi (Dodecad) + 6.7% Algeria (Henn) @ 1.35
4 93.8% Ashkenazi (Dodecad) + 6.2% North_African (Dodecad) @ 1.44
5 95.2% Ashkenazi (Dodecad) + 4.8% Moroccans (Behar) @ 1.46
6 93.5% Ashkenazi (Dodecad) + 6.5% Morocco_N (Henn) @ 1.48
7 71.7% Ashkenazy_Jews (Behar) + 28.3% Morocco_Jews (Behar) @ 1.51
8 95.5% Ashkenazi (Dodecad) + 4.5% Morocco_S (Henn) @ 1.59
9 95% Ashkenazi (Dodecad) + 5% TUNISIA (Henn) @ 1.6
10 94.3% Ashkenazi (Dodecad) + 5.7% Egyptans (Behar) @ 1.85
11 92.8% Ashkenazi (Dodecad) + 7.2% Egypt (Henn) @ 1.86
12 97.7% Ashkenazi (Dodecad) + 2.3% Mozabite (HGDP) @ 1.88
13 93.1% Ashkenazy_Jews (Behar) + 6.9% Libya (Henn) @ 1.93
14 86.1% Ashkenazy_Jews (Behar) + 13.9% Sephardic_Jews (Behar) @ 1.96
15 91.9% Ashkenazy_Jews (Behar) + 8.1% Egypt (Henn) @ 1.97
16 93.8% Ashkenazy_Jews (Behar) + 6.2% Egyptans (Behar) @ 2
17 95.4% Ashkenazi (Dodecad) + 4.6% Bedouin (HGDP) @ 2.04
18 95.3% Ashkenazi (Dodecad) + 4.7% Yemenese (Behar) @ 2.04
19 94.3% Ashkenazy_Jews (Behar) + 5.7% North_African (Dodecad) @ 2.05
20 94.4% Ashkenazy_Jews (Behar) + 5.6% Bedouin (HGDP) @ 2.07


Georgian Jewish

# Population Percent
1 West_Asian 38.2
2 Mediterranean 27.65
3 Southwest_Asian 19.38
4 West_European 6.93
5 South_Asian 5.29
6 Northwest_African 1.35
7 Southeast_Asian 0.52
8 Northeast_Asian 0.5
9 Neo_African 0.17

Single Population Sharing:

# Population (source) Distance
1 Georgia_Jews (Behar) 4.34
2 Iranian_Jews (Behar) 4.75
3 Uzbekistan_Jews (Behar) 5.02
4 Azerbaijan_Jews (Behar) 5.35
5 Iraq_Jews (Behar) 5.79
6 Druze (HGDP) 7.4
7 Kurd (Xing) 9.4
8 Lebanese (Behar) 10.13
9 Samaritians (Behar) 10.5
10 Kurd (Dodecad) 11.21
11 Syrians (Behar) 11.56
12 Palestinian (HGDP) 11.99
13 Turkish (Dodecad) 12.15
14 Assyrian (Dodecad) 12.69
15 Jordanians_19 (Behar) 14.32
16 Turks (Behar) 14.43
17 Iranians (Behar) 14.71
18 Armenian (Dodecad) 16.26
19 Cypriots (Behar) 16.32
20 Iranian (Dodecad) 17.35

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 92% Iranian_Jews (Behar) + 8% French (HGDP) @ 1.59
2 92.8% Iranian_Jews (Behar) + 7.2% French_Basque (HGDP) @ 1.66
3 93.3% Iranian_Jews (Behar) + 6.7% Cornwall (1000 Genomes) @ 1.7
4 93.3% Iranian_Jews (Behar) + 6.7% British (Dodecad) @ 1.73
5 93.2% Iranian_Jews (Behar) + 6.8% Kent (1000 Genomes) @ 1.75
6 93.4% Iranian_Jews (Behar) + 6.6% British_Isles (Dodecad) @ 1.77
7 93.6% Iranian_Jews (Behar) + 6.4% Irish (Dodecad) @ 1.79
8 93% Iranian_Jews (Behar) + 7% Dutch (Dodecad) @ 1.79
9 87.7% Iranian_Jews (Behar) + 12.3% TSI (HapMap) @ 1.86
10 91.8% Iraq_Jews (Behar) + 8.2% British (Dodecad) @ 1.87
11 91.8% Iraq_Jews (Behar) + 8.2% Cornwall (1000 Genomes) @ 1.87
12 92.9% Iranian_Jews (Behar) + 7.1% Mixed_Germanic (Dodecad) @ 1.89
13 91.7% Iraq_Jews (Behar) + 8.3% Kent (1000 Genomes) @ 1.89
14 91.9% Iraq_Jews (Behar) + 8.1% British_Isles (Dodecad) @ 1.89
15 91.4% Iraq_Jews (Behar) + 8.6% Dutch (Dodecad) @ 1.89
16 87.8% Iranian_Jews (Behar) + 12.2% Tuscan (Henn) @ 1.9
17 92.1% Iraq_Jews (Behar) + 7.9% Irish (Dodecad) @ 1.9
18 92.1% Iranian_Jews (Behar) + 7.9% Spaniards (Behar) @ 1.95
19 91.2% Iraq_Jews (Behar) + 8.8% Mixed_Germanic (Dodecad) @ 1.95
20 91.7% Iranian_Jews (Behar) + 8.3% Portuguese (Dodecad) @ 2



Sicilian from Messina

# Population Percent
1 Mediterranean 34.31
2 West_Asian 25.5
3 West_European 15.36
4 Southwest_Asian 14.51
5 East_European 3.87
6 Northwest_African 3.86
7 East_African 1.5
8 Southeast_Asian 0.52
9 Neo_African 0.47
10 Palaeo_African 0.1

Single Population Sharing:

# Population (source) Distance
1 Ashkenazi (Dodecad) 4.02
2 Morocco_Jews (Behar) 4.62
3 Ashkenazy_Jews (Behar) 5.12
4 S_Italian_Sicilian (Dodecad) 10.58
5 Sephardic_Jews (Behar) 10.97
6 Sicilian (Dodecad) 12.82
7 S_Italian (Dodecad) 13.13
8 C_Italian (Dodecad) 13.36
9 Greek (Dodecad) 14.48
10 O_Italian (Dodecad) 15.56
11 Tuscan (Xing) 15.92
12 Tuscan (Henn) 16.58
13 TSI (HapMap) 16.85
14 Cypriots (Behar) 17.4
15 Lebanese (Behar) 17.5
16 Palestinian (HGDP) 17.74
17 Uzbekistan_Jews (Behar) 17.92
18 Turkish (Dodecad) 18.12
19 Georgia_Jews (Behar) 18.5
20 Samaritians (Behar) 18.59

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 82.8% Ashkenazi (Dodecad) + 17.2% Lebanese (Behar) @ 1.77
2 83.8% Ashkenazi (Dodecad) + 16.2% Samaritians (Behar) @ 1.82
3 83.2% Ashkenazi (Dodecad) + 16.8% Palestinian (HGDP) @ 1.84
4 79.6% Ashkenazy_Jews (Behar) + 20.4% Samaritians (Behar) @ 1.93
5 85.4% Ashkenazi (Dodecad) + 14.6% Jordanians_19 (Behar) @ 1.98
6 55% Ashkenazi (Dodecad) + 45% Morocco_Jews (Behar) @ 2.33
7 86.9% Ashkenazi (Dodecad) + 13.1% Syrians (Behar) @ 2.36
8 85.3% Ashkenazi (Dodecad) + 14.7% Druze (HGDP) @ 2.4
9 79.4% Ashkenazy_Jews (Behar) + 20.6% Lebanese (Behar) @ 2.45
10 79.3% Ashkenazy_Jews (Behar) + 20.7% Cypriots (Behar) @ 2.46
11 53.4% Morocco_Jews (Behar) + 46.6% Ashkenazy_Jews (Behar) @ 2.46
12 87.2% Ashkenazi (Dodecad) + 12.8% Egypt (Henn) @ 2.51
13 87.1% Ashkenazi (Dodecad) + 12.9% Iraq_Jews (Behar) @ 2.57
14 84.9% Ashkenazi (Dodecad) + 15.1% Cypriots (Behar) @ 2.61
15 79.9% Ashkenazy_Jews (Behar) + 20.1% Palestinian (HGDP) @ 2.62
16 85.8% Ashkenazi (Dodecad) + 14.2% Georgia_Jews (Behar) @ 2.63
17 81% Ashkenazy_Jews (Behar) + 19% Druze (HGDP) @ 2.68
18 87.2% Ashkenazi (Dodecad) + 12.8% Iranian_Jews (Behar) @ 2.69
19 52.4% Tuscan (Xing) + 47.6% Lebanese (Behar) @ 2.74
20 51% TSI (HapMap) + 49% Lebanese (Behar) @ 2.77


Italian from Naples, Caserta
# Population Percent
1 Mediterranean 36.77
2 West_Asian 24.86
3 West_European 20.26
4 Southwest_Asian 11.91
5 East_European 2.68
6 Northwest_African 2.09
7 East_African 0.6
8 Neo_African 0.29
9 Palaeo_African 0.22
10 South_Asian 0.18
11 Northeast_Asian 0.15

Single Population Sharing:

# Population (source) Distance
1 Ashkenazi (Dodecad) 3.01
2 Ashkenazy_Jews (Behar) 4.29
3 Morocco_Jews (Behar) 8.33
4 S_Italian_Sicilian (Dodecad) 8.82
5 C_Italian (Dodecad) 9.13
6 O_Italian (Dodecad) 10.37
7 Tuscan (Xing) 11
8 Tuscan (Henn) 11.64
9 TSI (HapMap) 11.65
10 Sicilian (Dodecad) 11.8
11 S_Italian (Dodecad) 12.18
12 Sephardic_Jews (Behar) 12.82
13 Greek (Dodecad) 13.75
14 Tuscan (HGDP) 14.8
15 N_Italian (Dodecad) 19.52
16 Cypriots (Behar) 20.37
17 Turkish (Dodecad) 20.87
18 Uzbekistan_Jews (Behar) 21.71
19 North_Italian (HGDP) 22.1
20 Romanians_14 (Behar) 22.29

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 69.1% O_Italian (Dodecad) + 30.9% Georgia_Jews (Behar) @ 1.73
2 66.5% Tuscan (Henn) + 33.5% Druze (HGDP) @ 1.78
3 79% Ashkenazi (Dodecad) + 21% C_Italian (Dodecad) @ 1.84
4 66.9% TSI (HapMap) + 33.1% Samaritians (Behar) @ 1.86
5 86.5% Ashkenazi (Dodecad) + 13.5% Tuscan (HGDP) @ 1.96
6 81.9% Ashkenazi (Dodecad) + 18.1% O_Italian (Dodecad) @ 1.99
7 68.3% Tuscan (Xing) + 31.7% Samaritians (Behar) @ 2.1
8 91.4% Ashkenazi (Dodecad) + 8.6% North_Italian (HGDP) @ 2.17
9 54.1% N_Italian (Dodecad) + 45.9% Georgia_Jews (Behar) @ 2.19
10 66.6% TSI (HapMap) + 33.4% Druze (HGDP) @ 2.24
11 50.9% North_Italian (HGDP) + 49.1% Georgia_Jews (Behar) @ 2.24
12 93.2% Ashkenazi (Dodecad) + 6.8% Sardinian (HGDP) @ 2.29
13 69.5% Cypriots (Behar) + 30.5% British (Dodecad) @ 2.3
14 81.7% Ashkenazi (Dodecad) + 18.3% S_Italian_Sicilian (Dodecad) @ 2.32
15 69.7% Cypriots (Behar) + 30.3% British_Isles (Dodecad) @ 2.37
16 91.3% Ashkenazi (Dodecad) + 8.7% N_Italian (Dodecad) @ 2.37
17 69.6% Cypriots (Behar) + 30.4% Cornwall (1000 Genomes) @ 2.43
18 68.8% Cypriots (Behar) + 31.2% Kent (1000 Genomes) @ 2.45
19 67.9% Cypriots (Behar) + 32.1% Dutch (Dodecad) @ 2.45
20 87% Ashkenazi (Dodecad) + 13% TSI (HapMap) @ 2.48


Greek from Patras, Mainland
# Population Percent
1 Mediterranean 31.95
2 West_European 24.14
3 West_Asian 21.72
4 East_European 13.81
5 Southwest_Asian 5.6
6 Northwest_African 1.26
7 South_Asian 0.66
8 East_African 0.5
9 Southeast_Asian 0.27
10 Neo_African 0.1

Single Population Sharing:

# Population (source) Distance
1 Romanians_14 (Behar) 10.55
2 Tuscan (Xing) 11.05
3 Ashkenazy_Jews (Behar) 11.17
4 Tuscan (Henn) 12.11
5 TSI (HapMap) 12.19
6 Ashkenazi (Dodecad) 12.67
7 O_Italian (Dodecad) 13.78
8 Greek (Dodecad) 15.02
9 C_Italian (Dodecad) 15.25
10 Balkans (Dodecad) 15.34
11 Tuscan (HGDP) 17.63
12 S_Italian_Sicilian (Dodecad) 17.85
13 N_Italian (Dodecad) 18.1
14 Morocco_Jews (Behar) 18.66
15 Sicilian (Dodecad) 19.09
16 S_Italian (Dodecad) 20.43
17 Slovenian (Xing) 20.92
18 Hungarians (Behar) 21.26
19 North_Italian (HGDP) 22.33
20 Sephardic_Jews (Behar) 22.34

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 58% Slovenian (Xing) + 42% Cypriots (Behar) @ 2.59
2 58.6% Ashkenazy_Jews (Behar) + 41.4% Balkans (Dodecad) @ 3.75
3 51.6% Romanians_14 (Behar) + 48.4% Ashkenazy_Jews (Behar) @ 3.78
4 69.8% S_Italian (Dodecad) + 30.2% Finnish (Dodecad) @ 3.94
5 55.2% Ashkenazi (Dodecad) + 44.8% Balkans (Dodecad) @ 3.96
6 55.2% Romanians_14 (Behar) + 44.8% Ashkenazi (Dodecad) @ 4.12
7 57.8% Hungarians (Behar) + 42.2% Cypriots (Behar) @ 4.24
8 63.7% Ashkenazi (Dodecad) + 36.3% Hungarians (Behar) @ 4.45
9 72.8% S_Italian_Sicilian (Dodecad) + 27.2% Finnish (Dodecad) @ 4.5
10 67.1% Ashkenazy_Jews (Behar) + 32.9% Hungarians (Behar) @ 4.57
11 75.5% Ashkenazi (Dodecad) + 24.5% Polish (Dodecad) @ 4.84
12 75.3% Greek (Dodecad) + 24.7% FIN (1000Genomes) @ 4.87
13 50.6% S_Italian (Dodecad) + 49.4% Slovenian (Xing) @ 4.88
14 58.9% Greek (Dodecad) + 41.1% Slovenian (Xing) @ 4.91
15 75.5% Greek (Dodecad) + 24.5% Swedish (Dodecad) @ 4.97
16 78.3% Ashkenazy_Jews (Behar) + 21.7% Polish (Dodecad) @ 4.97
17 75.2% Ashkenazi (Dodecad) + 24.8% Mixed_Slav (Dodecad) @ 4.99
18 78% Ashkenazy_Jews (Behar) + 22% Mixed_Slav (Dodecad) @ 5.12
19 51.5% Romanians_14 (Behar) + 48.5% Tuscan (Xing) @ 5.13
20 51.5% Cypriots (Behar) + 48.5% German (Dodecad) @ 5.15


Greek from Icaria, Aegean
# Population Percent
1 Mediterranean 34.77
2 West_Asian 31.93
3 Southwest_Asian 13.92
4 West_European 12.5
5 East_European 3.08
6 Northwest_African 2.24
7 Southeast_Asian 0.78
8 East_African 0.37
9 South_Asian 0.18
10 Palaeo_African 0.15
11 Neo_African 0.08

Single Population Sharing:

# Population (source) Distance
1 Morocco_Jews (Behar) 8.78
2 Ashkenazi (Dodecad) 8.86
3 Ashkenazy_Jews (Behar) 10.11
4 Sephardic_Jews (Behar) 11.9
5 S_Italian_Sicilian (Dodecad) 11.96
6 Turkish (Dodecad) 13.01
7 Cypriots (Behar) 13.02
8 S_Italian (Dodecad) 13.08
9 Druze (HGDP) 13.62
10 Uzbekistan_Jews (Behar) 14.1
11 Sicilian (Dodecad) 14.23
12 Georgia_Jews (Behar) 14.48
13 Greek (Dodecad) 15.08
14 Lebanese (Behar) 15.08
15 Azerbaijan_Jews (Behar) 15.24
16 Samaritians (Behar) 15.35
17 Iranian_Jews (Behar) 15.95
18 C_Italian (Dodecad) 16.06
19 Iraq_Jews (Behar) 16.27
20 Palestinian (HGDP) 16.38

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 68% Druze (HGDP) + 32% N_Italian (Dodecad) @ 2.11
2 52.6% Georgia_Jews (Behar) + 47.4% C_Italian (Dodecad) @ 2.22
3 60% Druze (HGDP) + 40% Tuscan (Xing) @ 2.26
4 58.8% Druze (HGDP) + 41.2% O_Italian (Dodecad) @ 2.28
5 60.8% Druze (HGDP) + 39.2% TSI (HapMap) @ 2.41
6 61% Druze (HGDP) + 39% Tuscan (Henn) @ 2.46
7 61.2% Ashkenazi (Dodecad) + 38.8% Druze (HGDP) @ 2.55
8 61.5% Georgia_Jews (Behar) + 38.5% Tuscan (HGDP) @ 2.7
9 79.5% Sephardic_Jews (Behar) + 20.5% Lezgins (Behar) @ 2.81
10 72.5% Ashkenazi (Dodecad) + 27.5% Armenian (Dodecad) @ 2.85
11 72.1% Ashkenazi (Dodecad) + 27.9% Assyrian (Dodecad) @ 2.91
12 57.9% Ashkenazy_Jews (Behar) + 42.1% Druze (HGDP) @ 2.93
13 54.4% Iraq_Jews (Behar) + 45.6% O_Italian (Dodecad) @ 3.05
14 73.9% Druze (HGDP) + 26.1% Portuguese (Dodecad) @ 3.11
15 69.9% Druze (HGDP) + 30.1% North_Italian (HGDP) @ 3.13
16 74.4% Druze (HGDP) + 25.6% IBS (1000Genomes) @ 3.13
17 74.9% Druze (HGDP) + 25.1% Spanish (Dodecad) @ 3.14
18 75% Druze (HGDP) + 25% Spaniards (Behar) @ 3.18
19 55.1% S_Italian_Sicilian (Dodecad) + 44.9% Georgia_Jews (Behar) @ 3.2
20 51.4% Azerbaijan_Jews (Behar) + 48.6% C_Italian (Dodecad) @ 3.23



East Europe, Central Asia, Turkey:

Hungarian Szekler
# Population Percent
1 West_European 36.87
2 Mediterranean 22.12
3 East_European 21.17
4 West_Asian 9.96
5 Southwest_Asian 3.43
6 South_Asian 3.11
7 Northeast_Asian 1.63
8 Southeast_Asian 1.48
9 Northwest_African 0.14
10 Neo_African 0.1

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 4.59
2 Hungarians (Behar) 6.78
3 German (Dodecad) 15.45
4 Balkans (Dodecad) 15.51
5 Romanians_14 (Behar) 17.73
6 N._European (Xing) 18.53
7 CEU (HapMap) 18.63
8 Argyll (1000 Genomes) 19.43
9 Orcadian (HGDP) 20.34
10 Orkney (1000 Genomes) 20.55
11 Mixed_Slav (Dodecad) 22.66
12 Polish (Dodecad) 22.87
13 Tuscan (Xing) 22.91
14 Tuscan (Henn) 23.2
15 French (Dodecad) 23.46
16 TSI (HapMap) 23.68
17 French (HGDP) 23.76
18 FIN (1000Genomes) 24.78
19 Mixed_Germanic (Dodecad) 25.45
20 N_Italian (Dodecad) 25.51

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 92.4% Slovenian (Xing) + 7.6% Nepalese (Xing) @ 1.7
2 92.4% Slovenian (Xing) + 7.6% Bnei_Menashe_Jews (Behar) @ 2.05
3 93.3% Slovenian (Xing) + 6.7% Cochin_Jews (Behar) @ 2.1
4 92.2% Slovenian (Xing) + 7.8% Burusho (HGDP) @ 2.12
5 94.4% Slovenian (Xing) + 5.6% Sahariya (Reich) @ 2.19
6 94.8% Slovenian (Xing) + 5.2% Kharia (Reich) @ 2.22
7 94.9% Slovenian (Xing) + 5.1% Santhal (Reich) @ 2.23
8 92.5% Slovenian (Xing) + 7.5% Kashmiri_Pandit (Reich) @ 2.24
9 94.4% Slovenian (Xing) + 5.6% Satnami (Reich) @ 2.25
10 93.5% Slovenian (Xing) + 6.5% Meghawal (Reich) @ 2.26
11 94.1% Slovenian (Xing) + 5.9% Tharu (Reich) @ 2.27
12 94.4% Slovenian (Xing) + 5.6% Velama (Reich) @ 2.29
13 93.8% Slovenian (Xing) + 6.2% Srivastava (Reich) @ 2.3
14 94.8% Slovenian (Xing) + 5.2% Kurumba (Reich) @ 2.31
15 94.8% Slovenian (Xing) + 5.2% Kamsali (Reich) @ 2.33
16 93.9% Slovenian (Xing) + 6.1% TN_Brahmin (Xing) @ 2.34
17 94.9% Slovenian (Xing) + 5.1% AP_Madiga (Xing) @ 2.35
18 92.7% Slovenian (Xing) + 7.3% Pakistani (Xing) @ 2.35
19 93.9% Slovenian (Xing) + 6.1% AP_Brahmin (Xing) @ 2.35
20 94.6% Slovenian (Xing) + 5.4% Naidu (Reich) @ 2.36


Moldavian
# Population Percent
1 West_European 36.71
2 Mediterranean 25.03
3 East_European 21.49
4 West_Asian 12.92
5 Southwest_Asian 2.07
6 Northeast_Asian 1.63
7 Northwest_African 0.15

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 4.48
2 Hungarians (Behar) 6.17
3 Balkans (Dodecad) 13.45
4 Romanians_14 (Behar) 15.34
5 German (Dodecad) 16.21
6 CEU (HapMap) 18.78
7 N._European (Xing) 19.15
8 Argyll (1000 Genomes) 19.79
9 Orcadian (HGDP) 20.59
10 Orkney (1000 Genomes) 20.91
11 Tuscan (Xing) 20.94
12 Tuscan (Henn) 21.27
13 TSI (HapMap) 21.58
14 French (Dodecad) 22.96
15 French (HGDP) 23.16
16 N_Italian (Dodecad) 23.23
17 Mixed_Slav (Dodecad) 23.58
18 Polish (Dodecad) 23.77
19 O_Italian (Dodecad) 25.68
20 Mixed_Germanic (Dodecad) 25.75

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 90.6% Slovenian (Xing) + 9.4% Turkish (Dodecad) @ 1.84
2 91.4% Slovenian (Xing) + 8.6% Turks (Behar) @ 1.88
3 93% Slovenian (Xing) + 7% Armenians_16 (Behar) @ 1.96
4 92.8% Slovenian (Xing) + 7.2% Armenian (Dodecad) @ 2
5 92% Slovenian (Xing) + 8% Cypriots (Behar) @ 2.08
6 88.5% Slovenian (Xing) + 11.5% Greek (Dodecad) @ 2.09
7 53.2% FIN (1000Genomes) + 46.8% Greek (Dodecad) @ 2.09
8 93.1% Slovenian (Xing) + 6.9% Assyrian (Dodecad) @ 2.27
9 92.4% Slovenian (Xing) + 7.6% Druze (HGDP) @ 2.29
10 92.3% Slovenian (Xing) + 7.7% Azerbaijan_Jews (Behar) @ 2.35
11 90.6% Slovenian (Xing) + 9.4% S_Italian (Dodecad) @ 2.42
12 80.1% Slovenian (Xing) + 19.9% Romanians_14 (Behar) @ 2.42
13 94.3% Slovenian (Xing) + 5.7% Georgians (Behar) @ 2.47
14 92.8% Slovenian (Xing) + 7.2% Iraq_Jews (Behar) @ 2.48
15 92.6% Slovenian (Xing) + 7.4% Iranian_Jews (Behar) @ 2.5
16 90.1% Slovenian (Xing) + 9.9% S_Italian_Sicilian (Dodecad) @ 2.54
17 92.1% Slovenian (Xing) + 7.9% Kurd (Xing) @ 2.54
18 91.8% Slovenian (Xing) + 8.2% Uzbekistan_Jews (Behar) @ 2.56
19 90.4% Slovenian (Xing) + 9.6% Sicilian (Dodecad) @ 2.57
20 88.4% Slovenian (Xing) + 11.6% Ashkenazi (Dodecad) @ 2.59


Uyghur

# Population Percent
1 Southeast_Asian 34.02
2 Northeast_Asian 22.02
3 West_Asian 17.21
4 West_European 10.02
5 South_Asian 7.49
6 East_European 4.54
7 Southwest_Asian 2.54
8 Mediterranean 1.96
9 East_African 0.2

Single Population Sharing:

# Population (source) Distance
1 Uygur (HGDP) 6.47
2 Hazara (HGDP) 9.17
3 Kyrgyzstani (Xing) 11.76
4 Uzbeks (Behar) 16.62
5 Altai (Rasmussen) 21.01
6 Mongol (Rasmussen) 23.01
7 Buryat (Xing) 30.06
8 Tuva (Rasmussen) 30.44
9 Buryat (Rasmussen) 33.36
10 Nepalese (Xing) 34.37
11 Mongola (HGDP) 35.01
12 Daur (HGDP) 36.77
13 Xibo (HGDP) 37.1
14 Hezhen (HGDP) 38.02
15 Oroqen (HGDP) 38.55
16 Dolgan (Rasmussen) 39.12
17 Tu (HGDP) 41.77
18 Japanese (Dodecad) 43.79
19 Yukagir (Rasmussen) 44.19
20 Nysha (Reich) 44.34

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 87.4% Uygur (HGDP) + 12.6% Hezhen (HGDP) @ 3.5
2 87.2% Uygur (HGDP) + 12.8% Daur (HGDP) @ 3.61
3 87.7% Uygur (HGDP) + 12.3% Oroqen (HGDP) @ 3.61
4 81% Uygur (HGDP) + 19% Mongol (Rasmussen) @ 3.69
5 85% Uygur (HGDP) + 15% Buryat (Xing) @ 3.75
6 87% Uygur (HGDP) + 13% Mongola (HGDP) @ 3.88
7 68.4% Uygur (HGDP) + 31.6% Kyrgyzstani (Xing) @ 3.96
8 87.1% Uygur (HGDP) + 12.9% Buryat (Rasmussen) @ 4.2
9 88.2% Uygur (HGDP) + 11.8% Xibo (HGDP) @ 4.2
10 68.4% Uzbeks (Behar) + 31.6% Mongola (HGDP) @ 4.36
11 73.1% Uzbeks (Behar) + 26.9% Japanese (Dodecad) @ 4.49
12 69.7% Uzbeks (Behar) + 30.3% Xibo (HGDP) @ 4.51
13 91% Uygur (HGDP) + 9% Korean (Dodecad) @ 4.51
14 86.8% Uygur (HGDP) + 13.2% Tuva (Rasmussen) @ 4.55
15 91.3% Uygur (HGDP) + 8.7% Japanese (HGDP) @ 4.56
16 82.3% Hazara (HGDP) + 17.7% Xibo (HGDP) @ 4.61
17 81.5% Hazara (HGDP) + 18.5% Mongola (HGDP) @ 4.68
18 91.4% Uygur (HGDP) + 8.6% Aonaga (Reich) @ 4.72
19 69.6% Uzbeks (Behar) + 30.4% Daur (HGDP) @ 4.73
20 85.7% Hazara (HGDP) + 14.3% Korean (Dodecad) @ 4.73


Portugese from Azores

# Population Percent
1 West_European 37.92
2 Mediterranean 33.48
3 West_Asian 9.96
4 East_European 7.02
5 Northwest_African 5.28
6 Southwest_Asian 4.52
7 Palaeo_African 1.01
8 Neo_African 0.75
9 Southeast_Asian 0.08

Single Population Sharing:

# Population (source) Distance
1 Tuscan (Henn) 11.78
2 Tuscan (Xing) 12.09
3 TSI (HapMap) 12.24
4 N_Italian (Dodecad) 12.45
5 Portuguese (Dodecad) 12.68
6 French (Dodecad) 14.1
7 French (HGDP) 14.2
8 IBS (1000Genomes) 15.76
9 Spaniards (Behar) 16.08
10 Spanish (Dodecad) 16.28
11 O_Italian (Dodecad) 16.53
12 North_Italian (HGDP) 16.69
13 Slovenian (Xing) 17.5
14 CEU (HapMap) 17.56
15 N._European (Xing) 18.67
16 Tuscan (HGDP) 18.96
17 Orcadian (HGDP) 19.72
18 Argyll (1000 Genomes) 19.78
19 Hungarians (Behar) 20
20 Orkney (1000 Genomes) 20.07

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 65.2% CEU (HapMap) + 34.8% Sephardic_Jews (Behar) @ 4.83
2 61.9% Orkney (1000 Genomes) + 38.1% Sephardic_Jews (Behar) @ 4.97
3 62.4% Orcadian (HGDP) + 37.6% Sephardic_Jews (Behar) @ 4.97
4 62.4% CEU (HapMap) + 37.6% Sicilian (Dodecad) @ 5.13
5 67.3% French (Dodecad) + 32.7% Morocco_Jews (Behar) @ 5.18
6 59% Orkney (1000 Genomes) + 41% Sicilian (Dodecad) @ 5.19
7 59.5% Orcadian (HGDP) + 40.5% Sicilian (Dodecad) @ 5.28
8 60.9% N._European (Xing) + 39.1% Sicilian (Dodecad) @ 5.33
9 53.9% Sicilian (Dodecad) + 46.1% Norwegian (Dodecad) @ 5.5
10 62.4% Argyll (1000 Genomes) + 37.6% Sephardic_Jews (Behar) @ 5.51
11 53.4% O_Italian (Dodecad) + 46.6% N._European (Xing) @ 5.51
12 51.7% O_Italian (Dodecad) + 48.3% CEU (HapMap) @ 5.56
13 59.4% Argyll (1000 Genomes) + 40.6% Sicilian (Dodecad) @ 5.58
14 61.7% Tuscan (Henn) + 38.3% CEU (HapMap) @ 5.69
15 61.5% CEU (HapMap) + 38.5% S_Italian_Sicilian (Dodecad) @ 5.7
16 75.8% French (Dodecad) + 24.2% Egypt (Henn) @ 5.7
17 55.4% O_Italian (Dodecad) + 44.6% Orkney (1000 Genomes) @ 5.72
18 56.1% CEU (HapMap) + 43.9% C_Italian (Dodecad) @ 5.76
19 54.4% N._European (Xing) + 45.6% C_Italian (Dodecad) @ 5.78
20 64% N._European (Xing) + 36% Sephardic_Jews (Behar) @ 5.79


Turkish from Afyonkarahisar
# Population Percent
1 West_Asian 32.85
2 Mediterranean 25.18
3 West_European 11.72
4 Southwest_Asian 8.53
5 Northeast_Asian 7.12
6 East_European 5.43
7 Southeast_Asian 4.81
8 South_Asian 3.95
9 Neo_African 0.32
10 Palaeo_African 0.07

Single Population Sharing:

# Population (source) Distance
1 Turkish (Dodecad) 10.32
2 Turks (Behar) 13.04
3 Uzbekistan_Jews (Behar) 13.92
4 Kurd (Xing) 14.86
5 Kurd (Dodecad) 15.02
6 Stalskoe (Xing) 15.18
7 Ashkenazy_Jews (Behar) 16.26
8 Ashkenazi (Dodecad) 16.45
9 Azerbaijan_Jews (Behar) 17.07
10 Georgia_Jews (Behar) 17.36
11 Iranian_Jews (Behar) 18.29
12 Morocco_Jews (Behar) 18.57
13 Druze (HGDP) 19.32
14 Lebanese (Behar) 19.69
15 Iraq_Jews (Behar) 19.77
16 Iranian (Dodecad) 19.86
17 Iranians (Behar) 20.23
18 Palestinian (HGDP) 21.21
19 Greek (Dodecad) 21.62
20 S_Italian_Sicilian (Dodecad) 21.93

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 87.6% Turkish (Dodecad) + 12.4% Selkup (Rasmussen) @ 5.29
2 87.3% Turkish (Dodecad) + 12.7% Yukagir (Rasmussen) @ 5.45
3 86.5% Turkish (Dodecad) + 13.5% Altai (Rasmussen) @ 5.62
4 85.4% Turkish (Dodecad) + 14.6% Kyrgyzstani (Xing) @ 5.83
5 88.2% Turkish (Dodecad) + 11.8% Dolgan (Rasmussen) @ 5.85
6 81.4% Turkish (Dodecad) + 18.6% Hazara (HGDP) @ 6.15
7 88.7% Turkish (Dodecad) + 11.3% Tuva (Rasmussen) @ 6.21
8 88.2% Turkish (Dodecad) + 11.8% Mongol (Rasmussen) @ 6.34
9 90.1% Turkish (Dodecad) + 9.9% Yakut (HGDP) @ 6.45
10 79% Turkish (Dodecad) + 21% Uzbeks (Behar) @ 6.49
11 89.5% Turkish (Dodecad) + 10.5% Buryat (Rasmussen) @ 6.49
12 89.5% Turkish (Dodecad) + 10.5% Buryat (Xing) @ 6.56
13 90.9% Turkish (Dodecad) + 9.1% Evenk_15 (Rasmussen) @ 6.6
14 90.7% Turkish (Dodecad) + 9.3% Oroqen (HGDP) @ 6.71
15 83.5% Turkish (Dodecad) + 16.5% Uygur (HGDP) @ 6.72
16 88.1% Turkish (Dodecad) + 11.9% FIN (1000Genomes) @ 7.03
17 91.3% Turkish (Dodecad) + 8.7% Hezhen (HGDP) @ 7.18
18 91.3% Turkish (Dodecad) + 8.7% Daur (HGDP) @ 7.23
19 88.8% Turkish (Dodecad) + 11.2% Finnish (Dodecad) @ 7.34
20 93.2% Turkish (Dodecad) + 6.8% Nganassan_12 (Rasmussen) @ 7.38


Turkish from Trabzon

# Population Percent
1 West_Asian 44.56
2 Mediterranean 33.46
3 Southwest_Asian 11.38
4 South_Asian 5.79
5 East_European 3.09
6 West_European 1.59
7 East_African 0.09
8 Northeast_Asian 0.04

Single Population Sharing:

# Population (source) Distance
1 Azerbaijan_Jews (Behar) 9.06
2 Turkish (Dodecad) 9.83
3 Armenian (Dodecad) 10.18
4 Druze (HGDP) 10.43
5 Turks (Behar) 10.81
6 Iranian_Jews (Behar) 11.02
7 Iraq_Jews (Behar) 11.45
8 Assyrian (Dodecad) 11.88
9 Uzbekistan_Jews (Behar) 12.61
10 Kurd (Xing) 12.67
11 Armenians_16 (Behar) 13.03
12 Georgia_Jews (Behar) 13.46
13 Cypriots (Behar) 13.54
14 Kurd (Dodecad) 14.97
15 Samaritians (Behar) 16.84
16 Lebanese (Behar) 17.16
17 Iranian (Dodecad) 18.01
18 Iranians (Behar) 18.61
19 Palestinian (HGDP) 20
20 Syrians (Behar) 20.54

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 57.9% Cypriots (Behar) + 42.1% Iranian (Dodecad) @ 4.98
2 64.6% Armenians_16 (Behar) + 35.4% Sephardic_Jews (Behar) @ 5.02
3 51.1% Armenians_16 (Behar) + 48.9% Cypriots (Behar) @ 5.13
4 71.4% Armenian (Dodecad) + 28.6% Sephardic_Jews (Behar) @ 5.16
5 58.9% Armenian (Dodecad) + 41.1% Cypriots (Behar) @ 5.24
6 74% Armenian (Dodecad) + 26% Sicilian (Dodecad) @ 5.34
7 72.3% Armenian (Dodecad) + 27.7% S_Italian (Dodecad) @ 5.52
8 71% Cypriots (Behar) + 29% Georgians (Behar) @ 5.52
9 73.6% Armenian (Dodecad) + 26.4% Greek (Dodecad) @ 5.53
10 73.7% Armenian (Dodecad) + 26.3% S_Italian_Sicilian (Dodecad) @ 5.8
11 68% Armenians_16 (Behar) + 32% Sicilian (Dodecad) @ 6.06
12 57.5% Turks (Behar) + 42.5% Cypriots (Behar) @ 6.14
13 70% Assyrian (Dodecad) + 30% Greek (Dodecad) @ 6.19
14 66% Armenians_16 (Behar) + 34% S_Italian (Dodecad) @ 6.3
15 73.1% Cypriots (Behar) + 26.9% Adygei (HGDP) @ 6.36
16 78.1% Armenian (Dodecad) + 21.9% C_Italian (Dodecad) @ 6.38
17 67.3% Armenians_16 (Behar) + 32.7% S_Italian_Sicilian (Dodecad) @ 6.42
18 86% Armenian (Dodecad) + 14% Sardinian (HGDP) @ 6.52
19 69% Assyrian (Dodecad) + 31% S_Italian (Dodecad) @ 6.58
20 82% Armenian (Dodecad) + 18% Tuscan (HGDP) @ 6.65

jortita
10-10-2016, 01:27 PM
My Ancestry DNA results

Admix Results (sorted):

# Population Percent
1 South_Asian 45.57
2 Southeast_Asian 19.4
3 West_Asian 10.86
4 West_European 7.31
5 Northeast_Asian 5.83
6 Mediterranean 5.06
7 East_European 4.06
8 Northwest_African 1.62
9 Palaeo_African 0.28

Single Population Sharing:

# Population (source) Distance
1 Nepalese (Xing) 8.64
2 Tharu (Reich) 16
3 Sahariya (Reich) 16.66
4 Cochin_Jews (Behar) 17.5
5 Burusho (HGDP) 17.5
6 Vaish (Reich) 17.6
7 Srivastava (Reich) 17.64
8 Satnami (Reich) 18.01
9 Meghawal (Reich) 18.26
10 AP_Brahmin (Xing) 19.17
11 Kashmiri_Pandit (Reich) 19.63
12 TN_Brahmin (Xing) 19.91
13 Lodi (Reich) 20.94
14 Santhal (Reich) 21.49
15 Pakistani (Xing) 21.59
16 Kharia (Reich) 21.96
17 Sindhi (HGDP) 22.5
18 Velama (Reich) 22.76
19 Hallaki (Reich) 23.06
20 Bnei_Menashe_Jews (Behar) 23.06

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 65.6% Nepalese (Xing) + 34.4% Tharu (Reich) @ 2.45
2 76.1% Nepalese (Xing) + 23.9% Chenchu (Reich) @ 2.51
3 74.7% Nepalese (Xing) + 25.3% Kamsali (Reich) @ 2.58
4 75.9% Nepalese (Xing) + 24.1% AP_Mala (Xing) @ 2.61
5 76% Nepalese (Xing) + 24% Madiga (Reich) @ 2.63
6 81.9% Nepalese (Xing) + 18.1% North_Kannadi (Behar) @ 2.7
7 76.4% Nepalese (Xing) + 23.6% Vysya (Reich) @ 2.7
8 73.6% Nepalese (Xing) + 26.4% Hallaki (Reich) @ 2.71
9 77.2% Nepalese (Xing) + 22.8% Mala (Reich) @ 2.72
10 78.8% Nepalese (Xing) + 21.2% TN_Dalit (Xing) @ 2.76
11 74.7% Nepalese (Xing) + 25.3% Kurumba (Reich) @ 2.76
12 84.1% Nepalese (Xing) + 15.9% Irula (Xing) @ 2.78
13 74.7% Nepalese (Xing) + 25.3% Naidu (Reich) @ 2.81
14 75.6% Nepalese (Xing) + 24.4% Bhil (Reich) @ 2.84
15 71.8% Nepalese (Xing) + 28.2% Lodi (Reich) @ 2.86
16 68.7% Nepalese (Xing) + 31.3% Satnami (Reich) @ 2.97
17 76.7% Nepalese (Xing) + 23.3% AP_Madiga (Xing) @ 3.08
18 75.1% Indian (Dodecad) + 24.9% Tu (HGDP) @ 3.15
19 78.7% AP_Brahmin (Xing) + 21.3% Tu (HGDP) @ 3.17
20 74.4% Nepalese (Xing) + 25.6% INS (SGVP) @ 3.19

Least-squares method.

Using 1 population approximation:
1 Nepalese @ 9.163494
2 Tharu @ 16.718084
3 Vaish @ 17.260803
4 Cochin_Jews @ 17.349684
5 Srivastava @ 17.800497
6 Meghawal @ 18.016146
7 Burusho @ 18.166634
8 Sahariya @ 18.227921
9 AP_Brahmin @ 19.229961
10 Satnami @ 19.683666
11 TN_Brahmin @ 19.847658
12 Kashmiri_Pandit @ 20.049520
13 Pakistani @ 21.517529
14 Lodi @ 21.814684
15 Sindhi @ 22.282038
16 Kharia @ 22.667803
17 Santhal @ 23.282001
18 Indian @ 23.490730
19 Velama @ 23.532440
20 Bnei_Menashe_Jews @ 23.618862

Using 2 populations approximation:
1 50% Nepalese +50% Tharu @ 4.600527


Using 3 populations approximation:
1 50% GIH +25% Pathan +25% Nysha @ 2.640579


Using 4 populations approximation:
1 Burusho + Nepalese + Nepalese + Santhal @ 2.496669
2 GIH + GIH + Pathan + Nysha @ 2.640579
3 Nepalese + Nepalese + Nepalese + Chenchu @ 2.712538
4 Nepalese + Nepalese + Nepalese + Kamsali @ 2.738312
5 Nepalese + Nepalese + Nepalese + Madiga @ 2.750226
6 Nepalese + Nepalese + Pakistani + Santhal @ 2.775742
7 AP_Mala + Nepalese + Nepalese + Nepalese @ 2.787159
8 Nepalese + Nepalese + Kashmiri_Pandit + Santhal @ 2.834459
9 Hazara + Pathan + Chenchu + Kharia @ 2.846184
10 Nepalese + Nepalese + Nepalese + Hallaki @ 2.848044
11 Nepalese + Nepalese + Pakistani + Kharia @ 2.880034
12 GIH + GIH + Pathan + Aonaga @ 2.897882
13 Nepalese + Nepalese + Nepalese + Kurumba @ 2.905735
14 GIH + Indian + Pakistani + Nysha @ 2.910973
15 GIH + GIH + Pathan + Tu @ 2.921136
16 Hazara + Pakistani + Chenchu + Kharia @ 2.933152
17 Nepalese + Nepalese + Nepalese + Naidu @ 2.944117
18 Sindhi + Nepalese + Nepalese + Kharia @ 2.956480
19 GIH + Indian + Sindhi + Nysha @ 2.962717
20 GIH + GIH + Tu + Pakistani @ 2.968360

fished
10-10-2016, 09:58 PM
Tunisian Jewish:

Admix Results (sorted):

# Population Percent
1 Mediterranean 31.44
2 West_Asian 24.09
3 Southwest_Asian 18.82
4 West_European 9.41
5 Northwest_African 8.26
6 East_European 3.44
7 East_African 2.92
8 South_Asian 0.88
9 Palaeo_African 0.63
10 Neo_African 0.1
11 Northeast_Asian 0.02

Single Population Sharing:

# Population (source) Distance
1 Morocco_Jews (Behar) 6.87
2 Ashkenazi (Dodecad) 11.91
3 Palestinian (HGDP) 12.34
4 Ashkenazy_Jews (Behar) 12.41
5 Sephardic_Jews (Behar) 12.76
6 Lebanese (Behar) 13.03
7 Samaritians (Behar) 14.81
8 Jordanians_19 (Behar) 14.85
9 Egypt (Henn) 14.86
10 Georgia_Jews (Behar) 16.12
11 S_Italian_Sicilian (Dodecad) 16.53
12 Uzbekistan_Jews (Behar) 16.84
13 Syrians (Behar) 17.16
14 Druze (HGDP) 17.21
15 Sicilian (Dodecad) 17.67
16 Cypriots (Behar) 17.8
17 S_Italian (Dodecad) 18.12
18 Iranian_Jews (Behar) 18.34
19 Iraq_Jews (Behar) 18.75
20 Azerbaijan_Jews (Behar) 19.76

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 72.5% Morocco_Jews (Behar) + 27.5% Jordanians_19 (Behar) @ 4.25
2 82.2% Morocco_Jews (Behar) + 17.8% Bedouin (HGDP) @ 4.4
3 68.6% Morocco_Jews (Behar) + 31.4% Palestinian (HGDP) @ 4.41
4 72.9% Morocco_Jews (Behar) + 27.1% Egypt (Henn) @ 4.42
5 76.3% Morocco_Jews (Behar) + 23.7% Syrians (Behar) @ 4.56
6 81.1% Morocco_Jews (Behar) + 18.9% Egyptans (Behar) @ 4.61
7 70.6% Morocco_Jews (Behar) + 29.4% Lebanese (Behar) @ 4.64
8 83.7% Morocco_Jews (Behar) + 16.3% Yemenese (Behar) @ 4.92
9 92.1% Morocco_Jews (Behar) + 7.9% Saudis (Behar) @ 5.03
10 91.9% Morocco_Jews (Behar) + 8.1% Yemen_Jews (Behar) @ 5.08
11 77% Palestinian (HGDP) + 23% Portuguese (Dodecad) @ 5.25
12 75.8% Lebanese (Behar) + 24.2% Portuguese (Dodecad) @ 5.27
13 56.6% Ashkenazi (Dodecad) + 43.4% Egypt (Henn) @ 5.3
14 82.6% Morocco_Jews (Behar) + 17.4% Libya (Henn) @ 5.33
15 76.5% Morocco_Jews (Behar) + 23.5% Samaritians (Behar) @ 5.41
16 78.8% Morocco_Jews (Behar) + 21.2% Georgia_Jews (Behar) @ 5.54
17 55.4% Ashkenazy_Jews (Behar) + 44.6% Egypt (Henn) @ 5.66
18 78.1% Palestinian (HGDP) + 21.9% IBS (1000Genomes) @ 5.66
19 78.6% Palestinian (HGDP) + 21.4% Spanish (Dodecad) @ 5.71
20 50.2% Palestinian (HGDP) + 49.8% Ashkenazy_Jews (Behar) @ 5.72


Libyan Jewish:

Admix Results (sorted):

# Population Percent
1 Mediterranean 32
2 West_Asian 26.07
3 Southwest_Asian 19.14
4 Northwest_African 9.2
5 West_European 7.78
6 East_African 2.85
7 Neo_African 1.73
8 East_European 0.51
9 Southeast_Asian 0.41
10 Palaeo_African 0.3

Single Population Sharing:

# Population (source) Distance
1 Morocco_Jews (Behar) 7.68
2 Palestinian (HGDP) 10.72
3 Lebanese (Behar) 11.73
4 Sephardic_Jews (Behar) 12.97
5 Samaritians (Behar) 12.97
6 Jordanians_19 (Behar) 13.69
7 Ashkenazi (Dodecad) 13.82
8 Egypt (Henn) 14.3
9 Ashkenazy_Jews (Behar) 14.62
10 Georgia_Jews (Behar) 15.11
11 Druze (HGDP) 15.44
12 Syrians (Behar) 16.29
13 Uzbekistan_Jews (Behar) 16.66
14 Cypriots (Behar) 16.76
15 Iranian_Jews (Behar) 17.19
16 Iraq_Jews (Behar) 17.34
17 S_Italian_Sicilian (Dodecad) 17.41
18 Sicilian (Dodecad) 18.54
19 S_Italian (Dodecad) 18.56
20 Azerbaijan_Jews (Behar) 18.64

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 59.9% Morocco_Jews (Behar) + 40.1% Palestinian (HGDP) @ 3.69
2 66.7% Morocco_Jews (Behar) + 33.3% Jordanians_19 (Behar) @ 4.01
3 64.6% Druze (HGDP) + 35.4% Morocco_N (Henn) @ 4.08
4 63.2% Morocco_Jews (Behar) + 36.8% Lebanese (Behar) @ 4.32
5 69.1% Samaritians (Behar) + 30.9% Morocco_N (Henn) @ 4.63
6 71.9% Morocco_Jews (Behar) + 28.1% Syrians (Behar) @ 4.68
7 69.2% Morocco_Jews (Behar) + 30.8% Egypt (Henn) @ 4.8
8 66.8% Morocco_Jews (Behar) + 33.2% Samaritians (Behar) @ 4.82
9 65.1% Druze (HGDP) + 34.9% North_African (Dodecad) @ 5.08
10 80.9% Morocco_Jews (Behar) + 19.1% Bedouin (HGDP) @ 5.16
11 79.6% Morocco_Jews (Behar) + 20.4% Egyptans (Behar) @ 5.34
12 80.9% Palestinian (HGDP) + 19.1% Portuguese (Dodecad) @ 5.38
13 64.3% Druze (HGDP) + 35.7% Algeria (Henn) @ 5.51
14 82% Morocco_Jews (Behar) + 18% Yemenese (Behar) @ 5.56
15 62.1% Iraq_Jews (Behar) + 37.9% Morocco_N (Henn) @ 5.59
16 80.2% Palestinian (HGDP) + 19.8% Sardinian (HGDP) @ 5.63
17 73% Morocco_Jews (Behar) + 27% Georgia_Jews (Behar) @ 5.66
18 81.8% Palestinian (HGDP) + 18.2% IBS (1000Genomes) @ 5.67
19 82.2% Palestinian (HGDP) + 17.8% Spanish (Dodecad) @ 5.74
20 66% Georgia_Jews (Behar) + 34% North_African (Dodecad) @ 5.77

Egyptian Jewish:

Admix Results (sorted):

# Population Percent
1 West_Asian 31.9
2 Mediterranean 30.85
3 Southwest_Asian 18.38
4 West_European 9.95
5 Northwest_African 5.26
6 South_Asian 1.88
7 East_African 1.51
8 Neo_African 0.28

Single Population Sharing:

# Population (source) Distance
1 Morocco_Jews (Behar) 9.41
2 Georgia_Jews (Behar) 10.06
3 Lebanese (Behar) 10.56
4 Palestinian (HGDP) 10.84
5 Druze (HGDP) 10.9
6 Samaritians (Behar) 10.93
7 Uzbekistan_Jews (Behar) 10.99
8 Iranian_Jews (Behar) 12.07
9 Iraq_Jews (Behar) 12.43
10 Azerbaijan_Jews (Behar) 12.69
11 Ashkenazi (Dodecad) 12.82
12 Ashkenazy_Jews (Behar) 13.8
13 Jordanians_19 (Behar) 14.09
14 Syrians (Behar) 14.35
15 Sephardic_Jews (Behar) 14.63
16 Turkish (Dodecad) 14.75
17 Cypriots (Behar) 14.98
18 Kurd (Xing) 15.78
19 S_Italian_Sicilian (Dodecad) 17.28
20 Kurd (Dodecad) 17.28

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 51.7% Morocco_Jews (Behar) + 48.3% Georgia_Jews (Behar) @ 1.61
2 56.5% Morocco_Jews (Behar) + 43.5% Iranian_Jews (Behar) @ 2.1
3 57.2% Morocco_Jews (Behar) + 42.8% Iraq_Jews (Behar) @ 2.12
4 57.8% Morocco_Jews (Behar) + 42.2% Azerbaijan_Jews (Behar) @ 2.45
5 68.1% Morocco_Jews (Behar) + 31.9% Assyrian (Dodecad) @ 2.54
6 80.4% Georgia_Jews (Behar) + 19.6% Sardinian (HGDP) @ 3.19
7 54.4% Morocco_Jews (Behar) + 45.6% Uzbekistan_Jews (Behar) @ 3.39
8 54.2% Morocco_Jews (Behar) + 45.8% Druze (HGDP) @ 3.4
9 77.5% Iraq_Jews (Behar) + 22.5% Portuguese (Dodecad) @ 3.53
10 81.3% Georgia_Jews (Behar) + 18.7% Portuguese (Dodecad) @ 3.53
11 81.9% Georgia_Jews (Behar) + 18.1% IBS (1000Genomes) @ 3.67
12 82.3% Georgia_Jews (Behar) + 17.7% Spanish (Dodecad) @ 3.74
13 71.3% Morocco_Jews (Behar) + 28.7% Iranians (Behar) @ 3.9
14 82.5% Georgia_Jews (Behar) + 17.5% Spaniards (Behar) @ 3.95
15 50.9% Iraq_Jews (Behar) + 49.1% Ashkenazi (Dodecad) @ 4.03
16 56.9% Georgia_Jews (Behar) + 43.1% Ashkenazi (Dodecad) @ 4.09
17 64.4% Morocco_Jews (Behar) + 35.6% Kurd (Xing) @ 4.2
18 52.9% Iraq_Jews (Behar) + 47.1% Ashkenazy_Jews (Behar) @ 4.2
19 56.6% Samaritians (Behar) + 43.4% Ashkenazy_Jews (Behar) @ 4.2
20 79.6% Georgia_Jews (Behar) + 20.4% North_Italian (HGDP) @ 4.22

Northman
10-11-2016, 05:27 PM
Here's mine:

Admix Results (sorted):

# Population Percent
1 West_European 56.27
2 Mediterranean 25.75
3 East_European 10.30
4 West_Asian 5.63


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Orkney @ 1.945314
2 Orcadian @ 1.947212
3 CEU @ 3.055146
4 Argyll @ 3.564013
5 N._European @ 4.463710
6 Mixed_Germanic @ 8.181154
7 Dutch @ 8.330010
8 German @ 8.464020
9 Kent @ 10.445475
10 French @ 11.339002
11 French @ 11.497101
12 British_Isles @ 12.175064
13 British @ 12.412739
14 Cornwall @ 13.227644
15 Irish @ 15.494494
16 Swedish @ 15.960771
17 Norwegian @ 16.405350
18 Slovenian @ 20.940754
19 French_Basque @ 22.903160
20 Hungarians @ 25.274734

Using 2 populations approximation:
1 50% Orcadian +50% Orkney @ 1.910485


Using 3 populations approximation:
1 50% CEU +25% French +25% Swedish @ 1.282236


Using 4 populations approximation:
1 French_Basque + German + Swedish + Argyll @ 1.010013
2 French_Basque + Hungarians + Irish + Swedish @ 1.059234
3 British_Isles + French_Basque + Swedish + Slovenian @ 1.142647
4 French_Basque + German + Swedish + N._European @ 1.184933
5 French_Basque + Irish + Swedish + Slovenian @ 1.251644
6 CEU + CEU + French + Swedish @ 1.282236
7 British + French_Basque + Swedish + Slovenian @ 1.317211
8 British_Isles + French + German + German @ 1.389809
9 French_Basque + German + Orkney + Swedish @ 1.396651
10 French_Basque + German + Orcadian + Swedish @ 1.397864
11 French_Basque + Hungarians + Irish + Norwegian @ 1.403897
12 British + French + German + German @ 1.409105
13 Cornwall + French_Basque + Swedish + Slovenian @ 1.426181
14 French_Basque + Kent + Swedish + Slovenian @ 1.436346
15 CEU + French_Basque + German + Swedish @ 1.440574
16 Cornwall + French + German + German @ 1.461672
17 CEU + French + Orcadian + Swedish @ 1.494006
18 French + German + German + Irish @ 1.516275
19 British_Isles + French + German + Argyll @ 1.583250
20 British_Isles + French + German + Orkney @ 1.584534

Dewsloth
10-11-2016, 05:35 PM
Wow, Dad got a lot of 4-population scores under 1.

Admix Results (sorted):

# Population Percent
1 West_European 46.29
2 Mediterranean 28.14
3 East_European 10.41
4 West_Asian 10.30
5 Southwest_Asian 3.23


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 CEU @ 8.920166
2 N._European @ 9.961310
3 French @ 10.975593
4 Argyll @ 11.125054
5 French @ 11.261314
6 Orcadian @ 11.359147
7 German @ 11.692739
8 Orkney @ 11.761513
9 Slovenian @ 14.381671
10 Mixed_Germanic @ 15.943495
11 Dutch @ 17.248156
12 Hungarians @ 18.905893
13 Kent @ 19.656437
14 Tuscan @ 21.409271
15 TSI @ 21.587769
16 N_Italian @ 21.636534
17 Portuguese @ 21.740038
18 Tuscan @ 21.757109
19 British @ 21.758881
20 British_Isles @ 21.775276

Using 2 populations approximation:
1 50% O_Italian +50% Swedish @ 2.866694


Using 3 populations approximation:
1 50% German +25% Irish +25% Sicilian @ 0.889968


Using 4 populations approximation:
1 Hungarians + Irish + O_Italian + N._European @ 0.661551
2 French + O_Italian + Swedish + Slovenian @ 0.763523
3 CEU + German + O_Italian + N._European @ 0.783417
4 German + O_Italian + N._European + N._European @ 0.809585
5 C_Italian + Dutch + German + German @ 0.820301
6 CEU + Dutch + Tuscan + Slovenian @ 0.840515
7 French + Greek + Swedish + N._European @ 0.843388
8 British_Isles + German + German + Sicilian @ 0.843934
9 British + German + German + Sicilian @ 0.853888
10 C_Italian + German + Orkney + N._European @ 0.853899
11 British_Isles + O_Italian + N._European + Slovenian @ 0.872025
12 Balkans + Cornwall + Norwegian + O_Italian @ 0.873641
13 British + O_Italian + N._European + Slovenian @ 0.878902
14 German + German + Irish + Sicilian @ 0.889968
15 Balkans + British + Norwegian + O_Italian @ 0.902667
16 Cornwall + Hungarians + O_Italian + N._European @ 0.921696
17 British + Hungarians + O_Italian + N._European @ 0.979084
18 CEU + Cornwall + Hungarians + Tuscan @ 0.982950
19 C_Italian + German + Orcadian + N._European @ 0.984526
20 Cornwall + German + German + Sicilian @ 0.985469


Edit: So that 3-pop is the rough equivalent of half Germanic, a quarter Celtic and a quarter neolithic (or 50% Germanic, 25% Celt/neolithic and 25% Roman/neolithic)? That doesn't sound too far off.

Dewsloth
10-11-2016, 05:37 PM
Here's mine (compare to Dad, right above):

Admix Results (sorted):

# Population Percent
1 Mediterranean 29.73
2 West_European 26.45
3 West_Asian 22.66
4 Southwest_Asian 12.51
5 East_European 5.31
6 South_Asian 1.53


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Ashkenazy_Jews @ 8.199514
2 Ashkenazi @ 9.595731
3 Tuscan @ 10.339045
4 Tuscan @ 11.012537
5 TSI @ 11.279505
6 O_Italian @ 14.913602
7 Morocco_Jews @ 16.434187
8 C_Italian @ 17.270792
9 S_Italian_Sicilian @ 19.272734
10 Tuscan @ 20.632273
11 N_Italian @ 21.621630
12 Greek @ 21.827869
13 Sicilian @ 22.189510
14 Romanians_14 @ 22.263845
15 S_Italian @ 23.126469
16 Sephardic_Jews @ 23.508833
17 Stalskoe @ 24.564207
18 North_Italian @ 26.146006
19 Uzbekistan_Jews @ 26.586985
20 Balkans @ 26.871248

Using 2 populations approximation:
1 50% CEU +50% Samaritians @ 2.951961


Using 3 populations approximation:
1 50% Georgia_Jews +25% German +25% Spaniards @ 1.861475


Using 4 populations approximation:
1 Assyrian + French_Basque + German + Syrians @ 0.865931
2 Iraq_Jews + Lebanese + N_Italian + Norwegian @ 1.226061
3 Druze + North_Italian + Swedish + Syrians @ 1.242497
4 Iraq_Jews + Lebanese + North_Italian + Swedish @ 1.281676
5 Azerbaijan_Jews + Jordanians_19 + North_Italian + Swedish @ 1.323820
6 Iranian_Jews + Lebanese + North_Italian + Swedish @ 1.325646
7 French + German + Iraq_Jews + Samaritians @ 1.335316
8 French + German + Iraq_Jews + Samaritians @ 1.340182
9 Iranian_Jews + N_Italian + Samaritians + Swedish @ 1.349025
10 Georgia_Jews + Lebanese + North_Italian + Swedish @ 1.363808
11 Iraq_Jews + Lebanese + N_Italian + Swedish @ 1.371871
12 Azerbaijan_Jews + Lebanese + North_Italian + Swedish @ 1.422862
13 Iranian_Jews + Lebanese + N_Italian + Norwegian @ 1.423618
14 Assyrian + French_Basque + German + Jordanians_19 @ 1.423814
15 North_Italian + Samaritians + Swedish + Uzbekistan_Jews @ 1.426986
16 Druze + Lebanese + N_Italian + Swedish @ 1.533072
17 Georgia_Jews + N_Italian + Samaritians + Swedish @ 1.571324
18 French + German + Iranian_Jews + Samaritians @ 1.581424
19 Azerbaijan_Jews + North_Italian + Swedish + Syrians @ 1.581628
20 Georgia_Jews + North_Italian + Samaritians + Swedish @ 1.589101

Massam
10-11-2016, 06:06 PM
North Eastern French:

# Population Percent
1 West_European 44.74
2 Mediterranean 31.73
3 West_Asian 9.57
4 East_European 8.74
5 Southwest_Asian 2.45
6 Northwest_African 1.54

Using 1 population approximation:
1 French @ 9.441081
2 French @ 9.509965
3 CEU @ 11.674841
4 N._European @ 13.381013
5 Orcadian @ 14.073599

Using 2 populations approximation:
1 50% Swedish +50% Tuscan @ 2.654388

Using 3 populations approximation:
1 50% Mixed_Germanic +25% Romanians_14 +25% Spanish @ 1.523586

Using 4 populations approximation:
1 Greek + Norwegian + Orkney + Portuguese @ 0.695925

Mixed Mode Population Sharing:
1 57.2% N._European + 42.8% N_Italian @ 1.52

South Western French:

# Population Percent
1 West_European 44.23
2 Mediterranean 36.96
3 West_Asian 7.46
4 East_European 6.11
5 Northwest_African 2.64
6 Southwest_Asian 2.12

Using 1 population approximation:
1 French @ 8.462374
2 French @ 9.009335
3 Portuguese @ 11.431300
4 Spaniards @ 12.654256

Using 2 populations approximation:
1 50% Sardinian +50% Argyll @ 3.473480

Using 3 populations approximation:
1 50% N_Italian +25% Norwegian +25% Portuguese @ 1.431385

Using 4 populations approximation:
1 CEU + French + N_Italian + Portuguese @ 1.136392

Mixed Mode Population Sharing:
1 56.8% Argyll + 43.2% Sardinian @ 1.72

kevinduffy
10-11-2016, 06:32 PM
My ethnicity: Irish

Kit T656173

Admix Results (sorted):


# Population Percent
1 West_European 56.16
2 Mediterranean 23.48
3 East_European 10.31
4 West_Asian 7.28
5 Southwest_Asian 1.57
6 South_Asian 1.1
7 Northeast_Asian 0.11

Single Population Sharing:


# Population (source) Distance
1 Orkney (1000 Genomes) 1.71
2 Argyll (1000 Genomes) 1.93
3 Orcadian (HGDP) 2.01
4 N._European (Xing) 2.14
5 CEU (HapMap) 3.13
6 Mixed_Germanic (Dodecad) 6.11
7 German (Dodecad) 6.94
8 Dutch (Dodecad) 7.08
9 Kent (1000 Genomes) 9.15
10 British_Isles (Dodecad) 10.65
11 British (Dodecad) 10.93
12 Cornwall (1000 Genomes) 11.62
13 French (HGDP) 11.73
14 French (Dodecad) 12.16
15 Swedish (Dodecad) 13.14
16 Irish (Dodecad) 13.44
17 Norwegian (Dodecad) 13.79
18 Slovenian (Xing) 18.39
19 Hungarians (Behar) 22.64
20 French_Basque (HGDP) 22.95

Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 67.5% British (Dodecad) + 32.5% Hungarians (Behar) @ 0.67
2 66.1% Cornwall (1000 Genomes) + 33.9% Hungarians (Behar) @ 0.85
3 68.1% British_Isles (Dodecad) + 31.9% Hungarians (Behar) @ 0.89
4 62.8% British (Dodecad) + 37.2% Slovenian (Xing) @ 0.98
5 76.4% Dutch (Dodecad) + 23.6% Hungarians (Behar) @ 1.01
6 63.4% British_Isles (Dodecad) + 36.6% Slovenian (Xing) @ 1.04
7 58.1% Orkney (1000 Genomes) + 41.9% N._European (Xing) @ 1.07
8 71.3% Kent (1000 Genomes) + 28.7% Hungarians (Behar) @ 1.08
9 98.4% Orkney (1000 Genomes) + 1.6% Saudis (Behar) @ 1.1
10 98.5% Orkney (1000 Genomes) + 1.5% Yemen_Jews (Behar) @ 1.17
11 68.7% Swedish (Dodecad) + 31.3% N_Italian (Dodecad) @ 1.19
12 83.7% N._European (Xing) + 16.3% Kent (1000 Genomes) @ 1.2
13 85.7% N._European (Xing) + 14.3% British_Isles (Dodecad) @ 1.21
14 82.6% CEU (HapMap) + 17.4% Norwegian (Dodecad) @ 1.22
15 66.9% Kent (1000 Genomes) + 33.1% Slovenian (Xing) @ 1.23
16 80% N._European (Xing) + 20% Dutch (Dodecad) @ 1.23
17 86.2% N._European (Xing) + 13.8% British (Dodecad) @ 1.24
18 50.5% German (Dodecad) + 49.5% Dutch (Dodecad) @ 1.26
19 71.3% Swedish (Dodecad) + 28.7% North_Italian (HGDP) @ 1.28
20 52.5% Orcadian (HGDP) + 47.5% N._European (Xing) @ 1.28

Oracle 4:

Using 1 population approximation:
1 Orkney @ 1.882519
2 Argyll @ 2.118993
3 Orcadian @ 2.208597
4 N._European @ 2.350782
5 CEU @ 3.449279
6 Mixed_Germanic @ 6.788626
7 German @ 7.659765
8 Dutch @ 7.840814
9 Kent @ 10.154426
10 British_Isles @ 11.825100
11 British @ 12.133173
12 Cornwall @ 12.895269
13 French @ 12.909986
14 French @ 13.392302
15 Swedish @ 14.561364
16 Irish @ 14.940061
17 Norwegian @ 15.327881
18 Slovenian @ 20.437874
19 Hungarians @ 25.129980
20 French_Basque @ 25.286068

Using 2 populations approximation:
1 50% Orkney +50% N._European @ 1.164928


Using 3 populations approximation:
1 50% British_Isles +25% CEU +25% Slovenian @ 0.801396


Using 4 populations approximation:
1 CEU + Cornwall + Hungarians + Irish @ 0.688043
2 British + CEU + Hungarians + Irish @ 0.715238
3 British + CEU + German + N._European @ 0.715259
4 CEU + German + Kent + N._European @ 0.726045
5 Cornwall + French + Swedish + Slovenian @ 0.746009
6 British + Hungarians + Irish + N._European @ 0.748190
7 Dutch + German + Orkney + N._European @ 0.770880
8 British + French + Swedish + Slovenian @ 0.773059
9 Dutch + German + Orcadian + N._European @ 0.781475
10 CEU + Cornwall + German + N._European @ 0.784438
11 Cornwall + Hungarians + Irish + N._European @ 0.797261
12 British + Cornwall + Hungarians + N._European @ 0.800269
13 British_Isles + British_Isles + CEU + Slovenian @ 0.801396
14 British_Isles + CEU + German + N._European @ 0.801754
15 CEU + Dutch + Irish + Slovenian @ 0.808634
16 British + Dutch + Orkney + Slovenian @ 0.813743
17 British_Isles + French + Swedish + Slovenian @ 0.827910
18 British_Isles + Dutch + Orkney + Slovenian @ 0.831743
19 British_Isles + Cornwall + Hungarians + N._European @ 0.838268
20 Cornwall + Cornwall + Hungarians + N._European @ 0.842332

L1983
10-22-2016, 04:27 PM
Using AncestryDNA

Mine
Population
East_European 8.79
West_European 51.07
Mediterranean 26.84
Neo_African 0.17
West_Asian 10.17
South_Asian 1.61
Northeast_Asian 0.79
Southeast_Asian -
East_African -
Southwest_Asian 0.56
Northwest_African -
Palaeo_African -


Mother's
Population
East_European 12.49
West_European 52.08
Mediterranean 23.63
Neo_African -
West_Asian 8.90
South_Asian 0.93
Northeast_Asian -
Southeast_Asian -
East_African -
Southwest_Asian 1.97
Northwest_African -
Palaeo_African -

Father's
Population
East_European 7.44
West_European 52.82
Mediterranean 26.63
Neo_African -
West_Asian 10.13
South_Asian 1.00
Northeast_Asian 1.85
Southeast_Asian 0.13
East_African -
Southwest_Asian -
Northwest_African -
Palaeo_African

AnnieD
10-22-2016, 05:33 PM
Interesting that the member with Irish (K. Duffy) & mixed English heritage (Northman) both score Ireland near bottom quartile of top 20 single mode pop. It is no. 16 in my results, an American of mixed British diaspora plus minor Euro continental. However, Argyll & Orcadian plot much higher up for all of us. Curious that Argyll & Irish, at least, do not plot closer together for mostly British heritage on this tool (unless we're outliers. :) I haven't checked beyond this page)?

MBW1986
10-23-2016, 01:20 AM
I'm an American, and 14/16 of my 2nd great-grandparents had British surnames, so these results seem very accurate. FTDNA seems rather off base giving me 0% British Isles, with 96% West/Central Europe & 4% Finland/Northern Siberia. I don't think migrations can fully explain that discrepancy.

Dodecad V3
Using 1 population approximation:
1 CEU @ 1.616814
2 N._European @ 3.049036
3 Argyll @ 3.296721
4 Orcadian @ 3.553382
5 Orkney @ 3.854730
6 German @ 6.091495
7 Mixed_Germanic @ 10.178682
8 Dutch @ 11.296461
9 French @ 11.956790
10 French @ 12.172789
11 Kent @ 13.644391
12 British_Isles @ 15.465845
13 British @ 15.703203
14 Cornwall @ 16.425955
15 Slovenian @ 17.105614
16 Swedish @ 17.742731
17 Irish @ 18.688065
18 Norwegian @ 18.928053
19 Hungarians @ 21.693750
20 French_Basque @ 24.320763

FredBats
10-25-2016, 12:07 PM
Accuracy is... a desirable... pipe dream. I did love what it said for a relative. He's Japanese, French ancestry, and apparently by DNA he's Irish & Hezhen. Really?


Grandpa - Northern British / Scot. His family has been in this area for a very, very long time. I discount non-paternal / maternal event seeing as all relatives [even those by DNA] are British or of British origin.
# Population Percent
1 West_European 55.70
2 East_European 27.40
3 Mediterranean 16.90

Using 1 population approximation:
1 FIN @ 10.707291
2 German @ 13.831452
3 Swedish @ 18.759594
4 Argyll @ 18.876793
5 Orkney @ 19.306099
6 Orcadian @ 19.435755
7 N._European @ 19.440609
8 Irish @ 19.933529
9 Finnish @ 20.121010
10 Slovenian @ 20.500673
11 Hungarians @ 22.257700
12 Norwegian @ 22.398579
13 Mixed_Germanic @ 24.770382
14 Dutch @ 25.637146
15 Kent @ 26.990131
16 Polish @ 27.301899
17 British_Isles @ 27.414186
18 British @ 28.157362
19 Mixed_Slav @ 28.910597
20 Cornwall @ 29.164139

Using 2 populations approximation:
1 50% Norwegian +50% British_Isles @ 5.817899

Using 3 populations approximation:
1 50% British_Isles +25% FIN +25% Lithuanian @ 5.467392

Using 4 populations approximation:
1 FIN + French_Basque + Lithuanian + Norwegian @ 4.957120
2 FIN + French + Lithuanians + Norwegian @ 5.020471
3 FIN + French_Basque + Lithuanian + Swedish @ 5.051592
4 FIN + French_Basque + Lithuanians + Swedish @ 5.124419
5 FIN + French + Lithuanian + Norwegian @ 5.156912
6 FIN + French_Basque + Lithuanians + Norwegian @ 5.181006
7 FIN + Lithuanians + Norwegian + Orcadian @ 5.238628
8 FIN + Lithuanians + Norwegian + Orkney @ 5.242324
9 FIN + Irish + Lithuanians + Orkney @ 5.265390
10 Belorussian + British_Isles + British_Isles + Swedish @ 5.270394
11 FIN + Irish + Lithuanians + Orcadian @ 5.283986
12 Belorussian + British_Isles + FIN + Norwegian @ 5.295413
13 FIN + French + Lithuanians + Norwegian @ 5.302652
14 Belorussian + FIN + Norwegian + Norwegian @ 5.305741
15 British_Isles + FIN + Lithuanians + Orkney @ 5.327098
16 Belorussian + British + FIN + Swedish @ 5.344756
17 FIN + Kent + Lithuanians + Norwegian @ 5.350531
18 British_Isles + FIN + Lithuanians + Orcadian @ 5.360938
19 FIN + French + Lithuanians + Swedish @ 5.362532
20 Dutch + FIN + Lithuanians + Norwegian @ 5.382976

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 64.1% Norwegian (Dodecad) + 35.9% Belorussian (Behar) @ 4.32
2 55.1% Norwegian (Dodecad) + 44.9% Polish (Dodecad) @ 4.67
3 58% Irish (Dodecad) + 42% Lithuanians (Behar) @ 4.71
4 68.5% Swedish (Dodecad) + 31.5% Belorussian (Behar) @ 4.88
5 59.8% Swedish (Dodecad) + 40.2% Polish (Dodecad) @ 4.91
6 59.7% British_Isles (Dodecad) + 40.3% Lithuanians (Behar) @ 4.91
7 59.7% Irish (Dodecad) + 40.3% Lithuanian (Dodecad) @ 4.92
8 61.3% British_Isles (Dodecad) + 38.7% Lithuanian (Dodecad) @ 5
9 59% British (Dodecad) + 41% Lithuanians (Behar) @ 5.08
10 64.8% Norwegian (Dodecad) + 35.2% Lithuanians (Behar) @ 5.15
11 60.7% British (Dodecad) + 39.3% Lithuanian (Dodecad) @ 5.16
12 58.2% Cornwall (1000 Genomes) + 41.8% Lithuanians (Behar) @ 5.34
13 59.9% Cornwall (1000 Genomes) + 40.1% Lithuanian (Dodecad) @ 5.44
14 66.4% Norwegian (Dodecad) + 33.6% Lithuanian (Dodecad) @ 5.53
15 60.2% Kent (1000 Genomes) + 39.8% Lithuanians (Behar) @ 5.72
16 61.8% Kent (1000 Genomes) + 38.2% Lithuanian (Dodecad) @ 5.77
17 69.3% Swedish (Dodecad) + 30.7% Lithuanians (Behar) @ 5.81
18 56.7% Norwegian (Dodecad) + 43.3% Mixed_Slav (Dodecad) @ 5.83
19 61.5% Swedish (Dodecad) + 38.5% Mixed_Slav (Dodecad) @ 5.97
20 56.4% FIN (1000Genomes) + 43.6% German (Dodecad) @ 6.01



Grandma, grandpa's wife. Paternally Irish/French / French and maternally just simple old French [about as British as a coconut on this side]. She, her mother, and her mother's parents speak one of the Occitan languages by the way.

# Population (source) Distance
1 French (HGDP) 3.22
2 French (Dodecad) 3.56
3 CEU (HapMap) 7.58
4 N._European (Xing) 8.25
5 Orcadian (HGDP) 8.96
6 Argyll (1000 Genomes) 9.15
7 Dutch (Dodecad) 9.28
8 German (Dodecad) 11.26
9 Mixed_Germanic (Dodecad) 13.17
10 Orkney (1000 Genomes) 13.42
11 British (Dodecad) 15.89
12 Slovenian (Xing) 16.25
13 Kent (1000 Genomes) 17.58
14 British_Isles (Dodecad) 17.69
15 Cornwall (1000 Genomes) 17.81
16 French_Basque (HGDP) 18.25
17 Portuguese (Dodecad) 18.63
18 Spaniards (Behar) 19.05
19 N_Italian (Dodecad) 19.21
20 Tuscan (Henn) 21.05

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 58.6% British (Dodecad) + 41.4% Sephardic_Jews (Behar) @ 6.45
2 58.5% Cornwall (1000 Genomes) + 41.5% Sephardic_Jews (Behar) @ 6.48
3 58.6% British_Isles (Dodecad) + 41.4% Sephardic_Jews (Behar) @ 6.71
4 59% Kent (1000 Genomes) + 41% Sephardic_Jews (Behar) @ 6.82
5 59.2% British (Dodecad) + 40.8% Swedish (Dodecad) @ 7.09
6 59.1% Cornwall (1000 Genomes) + 40.9% S_Italian (Dodecad) @ 7.14
7 57.9% Irish (Dodecad) + 42.1% Sephardic_Jews (Behar) @ 7.18
8 59.6% Kent (1000 Genomes) + 40.4% S_Italian (Dodecad) @ 7.36
9 59.2% British_Isles (Dodecad) + 40.8% S_Italian (Dodecad) @ 7.36
10 59.6% Dutch (Dodecad) + 40.4% Sephardic_Jews (Behar) @ 7.42
11 59% British (Dodecad) + 41% TSI (HapMap) @ 7.75
12 58.8% Cornwall (1000 Genomes) + 41.2% TSI (HapMap) @ 7.78
13 58.5% Irish (Dodecad) + 41.5% S_Italian (Dodecad) @ 7.78
14 60.2% Dutch (Dodecad) + 39.8% S_Italian (Dodecad) @ 7.87
15 58.9% British_Isles (Dodecad) + 41.1% TSI (HapMap) @ 8.02
16 59.3% Kent (1000 Genomes) + 40.7% TSI (HapMap) @ 8.04
17 55.5% Cornwall (1000 Genomes) + 44.5% Swedish (Dodecad) @ 8.11
18 55.6% British (Dodecad) + 44.4% N_Italian (Dodecad) @ 8.11
19 55.5% British_Isles (Dodecad) + 44.5% N_Italian (Dodecad) @ 8.35
20 58.2% Irish (Dodecad) + 41.8% TSI (HapMap) @ 8.35




Dad - grandpa + grandma - go figure
Admix Results (sorted):

# Population Percent
1 West_European 51.05
2 Mediterranean 27.61
3 East_European 10.44
4 West_Asian 8.75
5 Southwest_Asian 1.07

Using 1 population approximation:
1 Orcadian @ 3.826565
2 N._European @ 6.010464
3 Orcadian @ 6.193893
4 Argyll @ 6.372579
5 Orkney @ 6.664141
6 German @ 8.960540
7 French @ 9.267496
8 French @ 9.650969
9 Mixed_Germanic @ 11.649133
10 Dutch @ 12.727283
11 Kent @ 15.050915
12 Slovenian @ 16.911283
13 British_Isles @ 17.143284
14 British @ 17.219078
15 Cornwall @ 17.787252
16 Irish @ 20.503038
17 Swedish @ 21.157907
18 Hungarians @ 21.400843
19 French_Basque @ 21.931217
20 Norwegian @ 22.038643

Using 2 populations approximation:
1 50% French +50% German @ 2.434114

Using 3 populations approximation:
1 50% Orcadian +25% Swedish +25% Tuscan @ 1.055368

Using 4 populations approximation:
1 Balkans + British_Isles + Dutch + French @ 0.822299
2 Balkans + British_Isles + French + Mixed_Germanic @ 0.860221
3 Balkans + British_Isles + French + Mixed_Germanic @ 0.864755
4 Balkans + British + French + Mixed_Germanic @ 0.925528
5 Balkans + French + Kent + Kent @ 0.935029
6 Balkans + French + Irish + Mixed_Germanic @ 0.937869
7 Balkans + Cornwall + French + Mixed_Germanic @ 0.941429
8 Cornwall + North_Italian + Swedish + Slovenian @ 0.975319
9 Balkans + British + French + Mixed_Germanic @ 0.989860
10 Balkans + Dutch + French + Kent @ 0.994361
11 Kent + North_Italian + Swedish + Slovenian @ 1.006950
12 Balkans + British + Dutch + French @ 1.010063
13 Balkans + French + Kent + Kent @ 1.028512
14 British_Isles + North_Italian + Swedish + Slovenian @ 1.028608
15 Balkans + British_Isles + Dutch + French @ 1.037563
16 British + North_Italian + Swedish + Slovenian @ 1.051403
17 Orcadian + Orcadian + Swedish + Tuscan @ 1.055368
18 Balkans + British_Isles + French + Kent @ 1.056786
19 Cornwall + German + German + N_Italian @ 1.062987
20 Orcadian + Orkney + Swedish + Tuscan @ 1.075554

# Primary Population (source) Secondary Population (source) Distance
1 88.2% Orcadian (HGDP) + 11.8% Sicilian (Dodecad) @ 0.52
2 89.5% Orkney (1000 Genomes) + 10.5% O_Italian (Dodecad) @ 0.56
3 91% Orkney (1000 Genomes) + 9% C_Italian (Dodecad) @ 0.57
4 92.7% Orkney (1000 Genomes) + 7.3% S_Italian (Dodecad) @ 0.64
5 90.1% German (Dodecad) + 9.9% Tuscan (HGDP) @ 0.66
6 86.2% Orcadian (HGDP) + 13.8% C_Italian (Dodecad) @ 0.68
7 92.5% Argyll (1000 Genomes) + 7.5% Sicilian (Dodecad) @ 0.71
8 88.6% Orcadian (HGDP) + 11.4% S_Italian (Dodecad) @ 0.71
9 87.4% Orkney (1000 Genomes) + 12.6% Sicilian (Dodecad) @ 0.72
10 87.5% Cornwall (1000 Genomes) + 12.5% TSI (HapMap) @ 0.73
11 92.2% British_Isles (Dodecad) + 7.8% S_Italian_Sicilian (Dodecad) @ 0.73
12 80% Argyll (1000 Genomes) + 20% N_Italian (Dodecad) @ 0.76
13 83.9% Orcadian (HGDP) + 16.1% O_Italian (Dodecad) @ 0.76
14 85.3% Orkney (1000 Genomes) + 14.7% C_Italian (Dodecad) @ 0.78
15 87.8% Orcadian (HGDP) + 12.2% S_Italian_Sicilian (Dodecad) @ 0.81
16 87.9% Orkney (1000 Genomes) + 12.1% S_Italian (Dodecad) @ 0.86
17 83% Orkney (1000 Genomes) + 17% O_Italian (Dodecad) @ 0.88
18 87.3% Cornwall (1000 Genomes) + 12.7% N_Italian (Dodecad) @ 0.94
19 84.4% Argyll (1000 Genomes) + 15.6% Tuscan (HGDP) @ 0.97
20 87.1% Orkney (1000 Genomes) + 12.9% S_Italian_Sicilian (Dodecad) @ 1.01

kikkk
10-25-2016, 01:48 PM
Dodecad V3 gave me the closest and most accurate oracle:
1 CEU + Morocco_Jews + Swedish + Sahara_OCC @ 1.618438 DODECAD V3

As for the reason why my North African half is modeled as North African+Palestinian/Bedouin/Egyptian/North African Jew, this is due to the fact that the Tunisian sample used by gedmatch calcs is of Tunisian Berbers from southern Tunisia : who are rather distinct from other Tunisians ; as I did explain in this thread:
http://www.anthrogenica.com/showthread.php?8833-What-was-the-amount-of-the-genetic-input-of-Arabs-in-North-Africa

I should add that I dont imply that Tunisians are not Berber ; nonetheless, I think that maybe Tunisian Berbers (from the desertic far south of the country) did not participate (because of geographic isolation) in the supposed ethnic mixing that occured (especially in coastal Tunisia) between Berbers and Phoenicians and which eventually, would have led to majority of Tunisians being a bit more West Asian shifted in comparison with Tunisian Berbers of southern Tunisia.

Dubhthach
10-25-2016, 02:08 PM
Interesting that the member with Irish (K. Duffy) & mixed English heritage (Northman) both score Ireland near bottom quartile of top 20 single mode pop. It is no. 16 in my results, an American of mixed British diaspora plus minor Euro continental. However, Argyll & Orcadian plot much higher up for all of us. Curious that Argyll & Irish, at least, do not plot closer together for mostly British heritage on this tool (unless we're outliers. :) I haven't checked beyond this page)?

I'm Irish, born in Ireland as were 7 of my great-grandparents (8th was Liverpool Irish), show up as 89% Irish in Ancestry (with range of 77%-100%)

--
Dodecad V3 Oracle results:

The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.

Kit A708277

Admix Results (sorted):

# Population Percent
1 West_European 67.65
2 Mediterranean 20.06
3 West_Asian 9.8
4 South_Asian 2.14
5 Southwest_Asian 0.25
6 Southeast_Asian 0.09

Single Population Sharing:

# Population (source) Distance
1 Irish (Dodecad) 3.87
2 Cornwall (1000 Genomes) 4.48
3 British (Dodecad) 5.14
4 British_Isles (Dodecad) 5.28
5 Kent (1000 Genomes) 6.35
6 Dutch (Dodecad) 8.02
7 Mixed_Germanic (Dodecad) 9.02
8 Norwegian (Dodecad) 11.42
9 Swedish (Dodecad) 14.24
10 Orkney (1000 Genomes) 15
11 Orcadian (HGDP) 15.33
12 Argyll (1000 Genomes) 15.58
13 N._European (Xing) 16
14 CEU (HapMap) 17
15 French (HGDP) 19.37
16 French (Dodecad) 20.59
17 German (Dodecad) 20.77
18 French_Basque (HGDP) 28.14
19 Slovenian (Xing) 32.36
20 FIN (1000Genomes) 32.81

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 96.2% Irish (Dodecad) + 3.8% Lezgins (Behar) @ 2.95
2 96.7% Irish (Dodecad) + 3.3% Kalash (HGDP) @ 3.05
3 97.2% Irish (Dodecad) + 2.8% Georgians (Behar) @ 3.12
4 96.7% Irish (Dodecad) + 3.3% Adygei (HGDP) @ 3.14
5 96.1% Irish (Dodecad) + 3.9% Urkarah (Xing) @ 3.24
6 97.1% Irish (Dodecad) + 2.9% Brahui (HGDP) @ 3.34
7 97.4% Irish (Dodecad) + 2.6% Armenians_16 (Behar) @ 3.36
8 97.2% Irish (Dodecad) + 2.8% Balochi (HGDP) @ 3.36
9 97.2% Irish (Dodecad) + 2.8% Iranian (Dodecad) @ 3.36
10 97.2% Irish (Dodecad) + 2.8% Makrani (HGDP) @ 3.36
11 96.4% Irish (Dodecad) + 3.6% Stalskoe (Xing) @ 3.4
12 97.5% Irish (Dodecad) + 2.5% Armenian (Dodecad) @ 3.42
13 97.2% Irish (Dodecad) + 2.8% Pathan (HGDP) @ 3.42
14 97.4% Irish (Dodecad) + 2.6% Iranians (Behar) @ 3.44
15 97.4% Irish (Dodecad) + 2.6% Burusho (HGDP) @ 3.44
16 97.5% Irish (Dodecad) + 2.5% Sindhi (HGDP) @ 3.45
17 97.5% Irish (Dodecad) + 2.5% Pakistani (Xing) @ 3.46
18 97.5% Irish (Dodecad) + 2.5% Kashmiri_Pandit (Reich) @ 3.47
19 97.3% Irish (Dodecad) + 2.7% Kurd (Dodecad) @ 3.47
20 97.5% Irish (Dodecad) + 2.5% Turks (Behar) @ 3.49
--

Dodecad V3 4-Ancestors Oracle

This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: [email protected]
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.

Admix Results (sorted):

# Population Percent
1 West_European 67.65
2 Mediterranean 20.06
3 West_Asian 9.80
4 South_Asian 2.14


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Irish @ 4.344072
2 Cornwall @ 4.979576
3 British @ 5.719791
4 British_Isles @ 5.874787
5 Kent @ 7.038718
6 Dutch @ 8.900884
7 Mixed_Germanic @ 10.000454
8 Norwegian @ 12.659293
9 Swedish @ 15.734845
10 Orkney @ 16.639595
11 Orcadian @ 17.001629
12 Argyll @ 17.273108
13 N._European @ 17.760433
14 CEU @ 18.863783
15 French @ 21.481615
16 French @ 22.833975
17 German @ 23.022709
18 French_Basque @ 31.135456
19 Slovenian @ 35.923870
20 FIN @ 36.047718

Using 2 populations approximation:
1 50% Cornwall +50% Irish @ 4.333304


Using 3 populations approximation:
1 50% Cornwall +25% Irish +25% Irish @ 4.333304


Using 4 populations approximation:
1 Cornwall + Irish + Irish + Irish @ 4.249732
2 Cornwall + Cornwall + Irish + Irish @ 4.333304
3 Irish + Irish + Irish + Irish @ 4.344072
4 British + Irish + Irish + Irish @ 4.454053
5 Irish + Irish + Irish + Kent @ 4.526766
6 British_Isles + Irish + Irish + Irish @ 4.528671
7 British + Cornwall + Irish + Irish @ 4.533187
8 British_Isles + Cornwall + Irish + Irish @ 4.583575
9 Cornwall + Cornwall + Cornwall + Irish @ 4.585068
10 Cornwall + Irish + Irish + Kent @ 4.685227
11 Irish + Irish + Irish + Mixed_Germanic @ 4.686168
12 Dutch + Irish + Irish + Irish @ 4.736288
13 British + British + Irish + Irish @ 4.741165
14 British + Cornwall + Cornwall + Irish @ 4.772997
15 British + British_Isles + Irish + Irish @ 4.797371
16 British_Isles + Cornwall + Cornwall + Irish @ 4.799534
17 British_Isles + British_Isles + Irish + Irish @ 4.864615
18 British + Irish + Irish + Kent @ 4.897151
19 Cornwall + Irish + Irish + Mixed_Germanic @ 4.926523
20 Cornwall + Dutch + Irish + Irish @ 4.955551

Done.
---

Should note that I had submitted my 23andme results to Dienekes when he was doing up Dodecad, so I imagine I'm part of the Irish sample set.

firemonkey
10-25-2016, 02:39 PM
I have 19% known Irish ancestry.

Single population sharing

Ancestry

2 Orcadian (HGDP) 2.36
3 Argyll (1000 Genomes) 2.41
4 Orkney (1000 Genomes) 2.53
11 Kent (1000 Genomes) 11.73
12 British_Isles (Dodecad) 13.25
13 British (Dodecad) 13.53
14 Cornwall (1000 Genomes) 14.2
17 Irish (Dodecad) 16.14


Using 2 populations approximation:
1 50% CEU +50% Argyll @ 1.915421


Using 3 populations approximation:
1 50% CEU +25% German +25% Orkney @ 1.647957


Using 4 populations approximation:
1 CEU + CEU + German + Orkney @ 1.647957
2 CEU + CEU + German + Orcadian @ 1.679987
3 CEU + German + Orcadian + Orcadian @ 1.729510
4 CEU + German + Orcadian + Orkney @ 1.735480
5 CEU + German + Orkney + Orkney @ 1.754328
6 British + Hungarians + Orkney + Orkney @ 1.756610
7 Cornwall + Hungarians + Orkney + Orkney @ 1.785249
8 British + Hungarians + Orcadian + Orkney @ 1.795742
9 Cornwall + Hungarians + Orcadian + Orkney @ 1.824423
10 CEU + CEU + German + Argyll @ 1.840632
11 British + Hungarians + Orcadian + Orcadian @ 1.846290
12 CEU + CEU + CEU + German @ 1.856135
13 British_Isles + Hungarians + Orkney + Orkney @ 1.857239
14 CEU + CEU + CEU + Argyll @ 1.874554
15 Cornwall + Hungarians + Orcadian + Orcadian @ 1.874838
16 CEU + German + Orcadian + Argyll @ 1.877037
17 CEU + German + Orkney + Argyll @ 1.889532
18 British_Isles + Hungarians + Orcadian + Orkney @ 1.890605
19 CEU + CEU + Orkney + Argyll @ 1.904257
20 CEU + CEU + Orcadian + Argyll @ 1.914004


FTDNA

2 Orcadian (HGDP) 2.25
3 Argyll (1000 Genomes) 2.38
4 Orkney (1000 Genomes) 2.4
11 Kent (1000 Genomes) 11.53
12 British_Isles (Dodecad) 13.05
13 British (Dodecad) 13.33
14 Cornwall (1000 Genomes) 14.05
16 Irish (Dodecad) 15.94



Using 2 populations approximation:
1 50% CEU +50% Argyll @ 1.904047


Using 3 populations approximation:
1 50% CEU +25% German +25% Orkney @ 1.817937


Using 4 populations approximation:
1 CEU + CEU + German + Orkney @ 1.817937
2 CEU + CEU + German + Orcadian @ 1.851192
3 CEU + CEU + Orkney + Argyll @ 1.852485
4 CEU + German + Orcadian + Orkney @ 1.852592
5 CEU + German + Orcadian + Orcadian @ 1.858274
6 CEU + German + Orkney + Orkney @ 1.859061
7 CEU + CEU + CEU + Argyll @ 1.873693
8 CEU + CEU + Orcadian + Argyll @ 1.876248
9 CEU + CEU + CEU + Orkney @ 1.883036
10 CEU + CEU + Argyll + Argyll @ 1.904047
11 CEU + CEU + Orkney + Orkney @ 1.907287
12 CEU + CEU + Orcadian + Orkney @ 1.929804
13 CEU + CEU + CEU + Orcadian @ 1.949853
14 CEU + CEU + Orcadian + Orcadian @ 1.957623
15 British + Hungarians + Orkney + Orkney @ 1.964511
16 Cornwall + Hungarians + Orkney + Orkney @ 1.965952
17 British + Hungarians + Orcadian + Orkney @ 2.009995
18 Cornwall + Hungarians + Orcadian + Orkney @ 2.012000
19 CEU + German + Orcadian + Argyll @ 2.012113
20 CEU + German + Orkney + Argyll @ 2.023374

23andMe

2 Argyll (1000 Genomes) 2.34
3 Orcadian (HGDP) 2.44
4 Orkney (1000 Genomes) 2.59
11 Kent (1000 Genomes) 11.83
12 British_Isles (Dodecad) 13.33
13 British (Dodecad) 13.62
14 Cornwall (1000 Genomes) 14.35
18 Irish (Dodecad) 16.2


Using 2 populations approximation:
1 50% CEU +50% Argyll @ 1.956479


Using 3 populations approximation:
1 50% CEU +25% German +25% Orkney @ 1.508807


Using 4 populations approximation:
1 CEU + CEU + German + Orkney @ 1.508807
2 CEU + CEU + German + Orcadian @ 1.556911
3 CEU + German + Orcadian + Orkney @ 1.573588
4 CEU + German + Orcadian + Orcadian @ 1.578999
5 CEU + German + Orkney + Orkney @ 1.590560
6 British + Hungarians + Orkney + Orkney @ 1.593146
7 British + Hungarians + Orcadian + Orkney @ 1.630573
8 Cornwall + Hungarians + Orkney + Orkney @ 1.638386
9 British_Isles + Hungarians + Orkney + Orkney @ 1.643573
10 CEU + CEU + German + Argyll @ 1.673068
11 Cornwall + Hungarians + Orcadian + Orkney @ 1.690567
12 CEU + German + Orcadian + Argyll @ 1.693032
13 CEU + German + Orkney + Argyll @ 1.699893
14 British + Hungarians + Orcadian + Orcadian @ 1.702272
15 British_Isles + Hungarians + Orcadian + Orkney @ 1.706513
16 CEU + CEU + CEU + German @ 1.747320
17 British_Isles + Hungarians + Orcadian + Orcadian @ 1.749070
18 Cornwall + Hungarians + Orcadian + Orcadian @ 1.759408
19 CEU + Hungarians + Irish + Orkney @ 1.773290
20 Hungarians + Irish + Orcadian + Orcadian @ 1.781111


My father with no known Irish ancestry-FTDNA

2 Argyll (1000 Genomes) 2.11
3 Orcadian (HGDP) 2.2
5 Orkney (1000 Genomes) 2.48
9 Kent (1000 Genomes) 10.35
12 British_Isles (Dodecad) 12.05
13 British (Dodecad) 12.28
14 Cornwall (1000 Genomes) 12.87
15 Irish (Dodecad) 14.96

Using 2 populations approximation:
1 50% CEU +50% Argyll @ 1.595132


Using 3 populations approximation:
1 50% Dutch +25% Orcadian +25% Slovenian @ 1.175266


Using 4 populations approximation:
1 Balkans + Irish + Irish + Orcadian @ 0.809111
2 Balkans + Irish + Irish + Orkney @ 0.887875
3 Balkans + British_Isles + British_Isles + Dutch @ 0.950407
4 Balkans + British_Isles + British_Isles + Mixed_Germanic @ 0.953217
5 CEU + Dutch + Kent + Slovenian @ 0.981743
6 Balkans + Cornwall + Irish + Orkney @ 1.020348
7 Balkans + British_Isles + Kent + Kent @ 1.030203
8 Balkans + British_Isles + British_Isles + Kent @ 1.033918
9 Balkans + Cornwall + Irish + Orcadian @ 1.068517
10 CEU + Kent + Mixed_Germanic + Slovenian @ 1.104962
11 Balkans + CEU + Irish + Irish @ 1.113880
12 Balkans + Dutch + Irish + Kent @ 1.129007
13 Balkans + British + British_Isles + Mixed_Germanic @ 1.139244
14 CEU + Dutch + Dutch + Slovenian @ 1.140488
15 Balkans + British + British_Isles + Dutch @ 1.147108
16 Balkans + Irish + Irish + Argyll @ 1.149282
17 Balkans + British_Isles + Dutch + Kent @ 1.175028
18 Dutch + Dutch + Orcadian + Slovenian @ 1.175266
19 Balkans + Irish + Kent + Mixed_Germanic @ 1.194706
20 CEU + Kent + Kent + Slovenian @ 1.201009

Some Irish in my father's oracle and none in mine. I wonder where the Balkans in my father's is coming from.

kevinduffy
10-25-2016, 03:01 PM
Should note that I had submitted my 23andme results to Dienekes when he was doing up Dodecad, so I imagine I'm part of the Irish sample set.

Do you know how many Irish people did Dienekes use in creating his Irish sample set?

kevinduffy
10-25-2016, 03:08 PM
I'm an American, and 14/16 of my 2nd great-grandparents had British surnames, so these results seem very accurate. FTDNA seems rather off base giving me 0% British Isles, with 96% West/Central Europe & 4% Finland/Northern Siberia. I don't think migrations can fully explain that discrepancy.

I think FTDNA were telling you that your ancestry was Anglo-Saxon with a little bit of Viking/Norman. FTDNA's "British Isles" category generally refers to Gaelic or Brythonic Celtic ancestry.

L1983
10-25-2016, 03:46 PM
My father with an Irish maternal grandmother and unknown paternal grandfather.

Least-squares method.

Using 1 population approximation:
1 CEU @ 5.284864
2 Orcadian @ 6.382812
3 N._European @ 6.404055
4 Argyll @ 6.467514
5 Orkney @ 6.700758
6 French @ 8.974909
7 Mixed_Germanic @ 9.151398
8 French @ 10.130501
9 Dutch @ 10.252240
10 German @ 11.357962
11 Kent @ 12.483483
12 British @ 14.656969
13 British_Isles @ 14.686965
14 Cornwall @ 15.068529
15 Irish @ 17.933197
16 Slovenian @ 20.157930
17 Swedish @ 20.364408
18 Norwegian @ 20.672260
19 French_Basque @ 22.205351
20 Hungarians @ 24.844948

Using 2 populations approximation:
1 50% French +50% Argyll @ 3.948429


Using 3 populations approximation:
1 50% Kent +25% Kent +25% Romanians_14 @ 2.690871


Using 4 populations approximation:
1 Kent + Kent + Kent + Romanians_14 @ 2.690871
2 Mixed_Germanic + Norwegian + Tuscan + Argyll @ 2.699833
3 Cornwall + Dutch + Kent + Romanians_14 @ 2.722855
4 French + Irish + Irish + Romanians_14 @ 2.740053
5 Kent + Swedish + Tuscan + Argyll @ 2.756403
6 Dutch + Kent + Kent + Romanians_14 @ 2.769271
7 Cornwall + Kent + Kent + Romanians_14 @ 2.783152
8 Cornwall + Swedish + Tuscan + Argyll @ 2.793943
9 Cornwall + Dutch + Dutch + Romanians_14 @ 2.805017
10 British + Dutch + Kent + Romanians_14 @ 2.815939
11 Mixed_Germanic + Norwegian + Orkney + Tuscan @ 2.830724
12 Dutch + Norwegian + Tuscan + Argyll @ 2.831279
13 Mixed_Germanic + Norwegian + Orcadian + Tuscan @ 2.840206
14 Kent + Norwegian + Tuscan + Argyll @ 2.842497
15 British + Kent + Kent + Romanians_14 @ 2.842951
16 British + Swedish + Tuscan + Argyll @ 2.845227
17 British_Isles + Swedish + Tuscan + Argyll @ 2.850222
18 Cornwall + Cornwall + Dutch + Romanians_14 @ 2.858380
19 Irish + N_Italian + Argyll + Argyll @ 2.868936
20 Irish + Orcadian + TSI + Argyll @ 2.879961

Dubhthach
10-25-2016, 03:51 PM
Do you know how many Irish people did Dienekes use in creating his Irish sample set?

Going off this spreadsheet on the Dodecad page there was 17 people in it, all of them had 4 grandparents born in Ireland as far as I recall
https://docs.google.com/spreadsheets/d/1lps42RGFjkjt-iedVYPXeaQ5RPFJIbJiJmurkJTqUEs/edit#gid=2

Massam
10-25-2016, 03:59 PM
I'm Irish, born in Ireland as were 7 of my great-grandparents (8th was Liverpool Irish), show up as 89% Irish in Ancestry (with range of 77%-100%)

--
Dodecad V3 Oracle results:

The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.

Kit A708277

Admix Results (sorted):

# Population Percent
1 West_European 67.65
2 Mediterranean 20.06
3 West_Asian 9.8
4 South_Asian 2.14
5 Southwest_Asian 0.25
6 Southeast_Asian 0.09


Dubhthach you forgot your East European or it looks like it was added to your West. It lacks a Baltic vibe to it :D

Massam
10-25-2016, 04:22 PM
Dubhthach you forgot your East European or it looks like it was added to your West. It lacks a Baltic vibe to it :D

Sorry I've just seen your gedmatch id in your post :doh: . I really didn't expect that no "East European" would be possible for an Irish...

Dubhthach
10-25-2016, 04:23 PM
Dubhthach you forgot your East European or it looks like it was added to your West. It lacks a Baltic vibe to it :D

East_European -
West_European 67.65
Mediterranean 20.06
Neo_African -
West_Asian 9.80
South_Asian 2.14
Northeast_Asian -
Southeast_Asian 0.09
East_African -
Southwest_Asian 0.25
Northwest_African -
Palaeo_African -

0% in other words ;)

L1983
10-25-2016, 04:30 PM
Mother's oracles.

Single Population Sharing:

# Population (source) Distance
1 N._European (Xing) 2.86
2 CEU (HapMap) 3.31
3 Argyll (1000 Genomes) 3.72
4 Orcadian (HGDP) 4.65
5 German (Dodecad) 4.8
6 Orkney (1000 Genomes) 4.84
7 Mixed_Germanic (Dodecad) 9.65
8 Dutch (Dodecad) 11.14
9 French (HGDP) 12.27
10 French (Dodecad) 12.58
11 Kent (1000 Genomes) 13.28
12 Slovenian (Xing) 14.19
13 British_Isles (Dodecad) 14.87
14 British (Dodecad) 15.13
15 Cornwall (1000 Genomes) 15.74
16 Swedish (Dodecad) 15.99
17 Norwegian (Dodecad) 17.37
18 Irish (Dodecad) 17.63
19 Hungarians (Behar) 18.6
20 FIN (1000Genomes) 23.54

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 56% Dutch (Dodecad) + 44% Slovenian (Xing) @ 0.61
2 52.6% Slovenian (Xing) + 47.4% Cornwall (1000 Genomes) @ 0.82
3 51.7% Kent (1000 Genomes) + 48.3% Slovenian (Xing) @ 0.88
4 51.6% Slovenian (Xing) + 48.4% British (Dodecad) @ 1.01
5 91.7% N._European (Xing) + 8.3% Balkans (Dodecad) @ 1.05
6 66% Mixed_Germanic (Dodecad) + 34% Hungarians (Behar) @ 1.12
7 92.1% N._European (Xing) + 7.9% Romanians_14 (Behar) @ 1.14
8 62.4% Irish (Dodecad) + 37.6% Balkans (Dodecad) @ 1.19
9 84.6% N._European (Xing) + 15.4% Slovenian (Xing) @ 1.25
10 51.2% Slovenian (Xing) + 48.8% British_Isles (Dodecad) @ 1.26
11 62.7% Dutch (Dodecad) + 37.3% Hungarians (Behar) @ 1.29
12 88% N._European (Xing) + 12% Hungarians (Behar) @ 1.3
13 59.7% Mixed_Germanic (Dodecad) + 40.3% Slovenian (Xing) @ 1.4
14 54.2% Cornwall (1000 Genomes) + 45.8% Hungarians (Behar) @ 1.49
15 94.3% Argyll (1000 Genomes) + 5.7% Syrians (Behar) @ 1.52
16 94.2% Argyll (1000 Genomes) + 5.8% Lebanese (Behar) @ 1.56
17 94.3% Argyll (1000 Genomes) + 5.7% Jordanians_19 (Behar) @ 1.56
18 94.2% Argyll (1000 Genomes) + 5.8% Palestinian (HGDP) @ 1.67
19 58.4% Kent (1000 Genomes) + 41.6% Hungarians (Behar) @ 1.68
20 94.5% Argyll (1000 Genomes) + 5.5% Samaritians (Behar) @ 1.69

MBW1986
10-25-2016, 07:45 PM
I didn't include my Oracle 4:

Known Ancestry:
14/16 of 2nd great-grandparents had British surnames, 1 German, 1 French.

Using 4 populations approximation:
1 British + CEU + CEU + Slovenian @ 1.086019
2 CEU + Dutch + Dutch + Hungarians @ 1.154502
3 CEU + CEU + Kent + Slovenian @ 1.196428
4 French + German + Irish + Slovenian @ 1.206292
5 French + German + Irish + Slovenian @ 1.209723
6 British_Isles + CEU + CEU + Slovenian @ 1.224540
7 CEU + CEU + Cornwall + Slovenian @ 1.231777
8 British_Isles + French + German + Slovenian @ 1.238725
9 CEU + Dutch + Orkney + Slovenian @ 1.287608
10 CEU + CEU + Cornwall + Hungarians @ 1.287699
11 French + German + German + Argyll @ 1.288230
12 CEU + Dutch + Orcadian + Slovenian @ 1.301435
13 French + German + German + N._European @ 1.307790
14 British + French + German + Slovenian @ 1.309555
15 CEU + Cornwall + Hungarians + Orcadian @ 1.320243
16 Balkans + British_Isles + British_Isles + Orkney @ 1.327009
17 CEU + Cornwall + Hungarians + Orkney @ 1.339983
18 Balkans + British_Isles + British_Isles + Orcadian @ 1.340413
19 French + German + Hungarians + Irish @ 1.343667
20 Balkans + French + Irish + Swedish @ 1.348659

FTDNA:
96% West & Central Europe / 4% Finland & Northern Siberia

kevinduffy
10-25-2016, 10:13 PM
Going off this spreadsheet on the Dodecad page there was 17 people in it, all of them had 4 grandparents born in Ireland as far as I recall
https://docs.google.com/spreadsheets/d/1lps42RGFjkjt-iedVYPXeaQ5RPFJIbJiJmurkJTqUEs/edit#gid=2

If you don't mind me asking, what part(s) of Ireland did your parents come from? My father came from Monaghan and my mother came from Cavan.

FredBats
10-25-2016, 10:46 PM
Sorry I've just seen your gedmatch id in your post :doh: . I really didn't expect that no "East European" would be possible for an Irish...

Not quite no East European but still

1 West_European 81.39
2 Mediterranean 17.89
3 East_European 0.47
4 Southwest_Asian 0.24
5 Northeast_Asian 0.01

# Population (source) Distance
1 Irish (Dodecad) 3.89
2 British_Isles (Dodecad) 4.96
3 Cornwall (1000 Genomes) 5.16
4 British (Dodecad) 5.17
5 Kent (1000 Genomes) 6.96
6 Swedish (Dodecad) 11.25
7 Norwegian (Dodecad) 11.62
8 Dutch (Dodecad) 12.22
9 Mixed_Germanic (Dodecad) 12.58
10 Orkney (1000 Genomes) 14.35
11 Orcadian (HGDP) 14.74
12 Argyll (1000 Genomes) 15.3
13 N._European (Xing) 16.04
14 CEU (HapMap) 16.81
15 German (Dodecad) 19.06
16 French (HGDP) 19.86
17 French (Dodecad) 20.36
18 FIN (1000Genomes) 25.32
19 French_Basque (HGDP) 25.52
20 Slovenian (Xing) 31.9



Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 68.7% Irish (Dodecad) + 31.3% Norwegian (Dodecad) @ 2.17
2 98.5% Irish (Dodecad) + 1.5% Swedish (Dodecad) @ 2.49
3 100% Irish (Dodecad) + 0% Adygei (HGDP) @ 2.49
4 100% Irish (Dodecad) + 0% Altai (Rasmussen) @ 2.49
5 100% Irish (Dodecad) + 0% Armenian (Dodecad) @ 2.49
6 100% Irish (Dodecad) + 0% Armenians_16 (Behar) @ 2.49
7 100% Irish (Dodecad) + 0% Ashkenazi (Dodecad) @ 2.49
8 100% Irish (Dodecad) + 0% Ashkenazy_Jews (Behar) @ 2.49
9 100% Irish (Dodecad) + 0% Assyrian (Dodecad) @ 2.49
10 100% Irish (Dodecad) + 0% ASW (HapMap) @ 2.49
11 100% Irish (Dodecad) + 0% Azerbaijan_Jews (Behar) @ 2.49
12 100% Irish (Dodecad) + 0% Balkans (Dodecad) @ 2.49
13 100% Irish (Dodecad) + 0% Balochi (HGDP) @ 2.49
14 100% Irish (Dodecad) + 0% Bedouin (HGDP) @ 2.49
15 100% Irish (Dodecad) + 0% Belorussian (Behar) @ 2.49
16 100% Irish (Dodecad) + 0% Biaka_Pygmies (HGDP) @ 2.49
17 100% Irish (Dodecad) + 0% Bnei_Menashe_Jews (Behar) @ 2.49
18 100% Irish (Dodecad) + 0% Brahui (HGDP) @ 2.49
19 100% Irish (Dodecad) + 0% British (Dodecad) @ 2.49
20 100% Irish (Dodecad) + 0% British_Isles (Dodecad) @ 2.49


Using 2 populations approximation:
1 50% Irish +50% Cornwall @ 3.754737


Using 3 populations approximation:
1 50% Irish +25% Irish +25% Cornwall @ 3.667976


Using 4 populations approximation:
1 Irish + Irish + Irish + Irish @ 3.327976
2 Irish + Irish + Irish + Cornwall @ 3.344737
3 Irish + Irish + Irish + Cornwall @ 3.359310
4 Irish + Irish + Cornwall + Cornwall @ 4.368456
5 Cornwall + Irish + Irish + Cornwall @ 4.368908
6 British_Isles + Irish + Irish + Cornwall @ 4.373376
7 Cornwall + Irish + Irish + Cornwall @ 4.375963
8 British + Irish + Irish + Cornwall @ 4.377903
9 Irish + Irish + Irish + Swedish @ 4.388109
10 British + Irish + Irish + Cornwall @ 4.400802
11 British_Isles + Irish + Irish + Cornwall @ 4.412559
12 Irish + Irish + Cornwall + Irish @ 4.573709
13 Kent + Irish + Irish + Irish @ 4.672479
14 British + Irish + Irish + Irish @ 4.732498
15 Cornwall + Irish + Irish + Irish @ 4.739270
16 Cornwall + Irish + Irish + Cornwall @ 4.754348
17 British + Cornwall + Irish + Irish @ 4.852119
18 Irish + Irish + Kent + Cornwall @ 4.862769
19 British_Isles + Irish + Cornwall + Cornwall @ 4.898933
20 Irish + Irish + Cornwall + Cornwall @ 4.912757

It'll be interesting to see what region Dubhthach's ancestry comes from. If, that is, they're not in & around Dublin as his location is listed as.

Dubhthach
10-26-2016, 10:32 AM
If you don't mind me asking, what part(s) of Ireland did your parents come from? My father came from Monaghan and my mother came from Cavan.

Well I'm from Galway myself, I've only lived in Dublin for last 10 years or so (well come next March)

Well my mother is from East Clare near the Galway border, so her family all that area. My father is from Athlone, though in his case his father was from Belfast (with a mother who was "Liverpool Irish") and his mother was from South Roscommon/East Galway area.

At the Great-Grandparent level it breaks down as follows
6 great grandparents from East Clare/East Galway/South Roscommon (bout 70km as by road)
1 great grandparent from Belfast
1 great grandparent from Liverpool (her mother's family was Cassidy's and McGonigal's)

Of course I'm planning on testing both my parents with AncestryDNA in next while to see if I can narrow down some of components to particular line of descent.

Dubhthach
10-26-2016, 10:49 AM
I did a google and found the Dodecad v3 blog post from 2011 that links to the spreadsheet with results. In it Irish_D has a sample size of 20 (I know couple people removed their results subsequent). The average for "East_European" for sample was 2.5%


https://docs.google.com/spreadsheets/d/1okwfVnOBgXH2-HDd_VoIVkgeQAAkXkzu02kjgWThEg8/edit?hl=en_US&authkey=COCa89AJ#gid=0


Population
Source
N
East_European
West_European
Mediterranean
Neo_African
West_Asian
South_Asian
Northeast_Asian
Southeast_Asian
East_African
Southwest_Asian
Northwest_African
Palaeo_African


Irish_D
Dodecad
20
2.5
67.9
20.8
0
6.7
0.5
0.1
0
0
1.5
0
0

Jessie
10-26-2016, 11:35 AM
East_European -
West_European 67.65
Mediterranean 20.06
Neo_African -
West_Asian 9.80
South_Asian 2.14
Northeast_Asian -
Southeast_Asian 0.09
East_African -
Southwest_Asian 0.25
Northwest_African -
Palaeo_African -

0% in other words ;)

That's unusual but interesting. All my family are 100% Irish. Your West European is really high. Also on Dodecad V3 we are all distant to Irish as it comes in at 16 and 17 so it doesn't appear to be all that accurate for my family anyway. We are all born in Ireland with all Irish born family going back as far as late 1700s as that is as far as I've been able to trace by paper-trail. My daughter was not born in Ireland but is of all Irish ancestry as well.

Mine

Population
East_European 12.84
West_European 55.75
Mediterranean 22.70
Neo_African -
West_Asian 7.79
South_Asian 0.15
Northeast_Asian 0.33
Southeast_Asian -
East_African -
Southwest_Asian 0.44
Northwest_African -
Palaeo_African -

Least-squares method.

Using 1 population approximation:
1 Argyll @ 1.570250
2 Orkney @ 2.823640
3 Orcadian @ 2.876477
4 N._European @ 3.216774
5 CEU @ 3.936560
6 German @ 5.403244
7 Mixed_Germanic @ 8.660667
8 Dutch @ 10.131947
9 Kent @ 12.218744
10 British_Isles @ 13.739274
11 British @ 14.188494
12 Swedish @ 14.228313
13 French @ 14.858309
14 Cornwall @ 14.961836
15 French @ 15.224509
16 Norwegian @ 15.717998
17 Irish @ 16.710432
18 Slovenian @ 18.720474
19 Hungarians @ 23.325674
20 FIN @ 24.165121

Using 2 populations approximation:
1 50% Argyll +50% Argyll @ 1.570250


Using 3 populations approximation:
1 50% German +25% Mixed_Germanic +25% Orcadian @ 0.880220


Using 4 populations approximation:
1 German + German + Mixed_Germanic + Orcadian @ 0.880220
2 German + German + Mixed_Germanic + Argyll @ 0.887177
3 German + German + Mixed_Germanic + Orkney @ 0.896190
4 Dutch + German + German + Argyll @ 1.087378
5 German + Argyll + Argyll + Argyll @ 1.119728
6 German + German + Kent + Argyll @ 1.162126
7 German + Orkney + Argyll + Argyll @ 1.176629
8 German + Hungarians + Irish + Kent @ 1.236427
9 German + Orcadian + Argyll + Argyll @ 1.245063
10 CEU + Hungarians + Kent + Norwegian @ 1.303219
11 British_Isles + British_Isles + German + Hungarians @ 1.324639
12 Dutch + German + German + Orcadian @ 1.326830
13 CEU + German + German + Mixed_Germanic @ 1.332659
14 German + Orkney + Orkney + Argyll @ 1.348879
15 Hungarians + Mixed_Germanic + Norwegian + Orcadian @ 1.350129
16 Dutch + German + German + Orkney @ 1.363977
17 British_Isles + German + Hungarians + Irish @ 1.366527
18 Dutch + Hungarians + Norwegian + Orcadian @ 1.404119
19 Hungarians + Mixed_Germanic + Norwegian + Orkney @ 1.404485
20 German + Orcadian + Orkney + Argyll @ 1.404889

Mother

Population
East_European 11.67
West_European 54.55
Mediterranean 24.30
Neo_African -
West_Asian 7.98
South_Asian 1.43
Northeast_Asian -
Southeast_Asian -
East_African -
Southwest_Asian 0.06
Northwest_African -
Palaeo_African -

Least-squares method.

Using 1 population approximation:
1 Argyll @ 1.535461
2 CEU @ 2.164015
3 Orcadian @ 2.273614
4 Orkney @ 2.475574
5 N._European @ 2.935289
6 German @ 6.424292
7 Mixed_Germanic @ 8.854604
8 Dutch @ 10.073667
9 Kent @ 12.334026
10 French @ 12.772262
11 French @ 13.165826
12 British_Isles @ 14.107820
13 British @ 14.416919
14 Cornwall @ 15.137771
15 Swedish @ 16.331881
16 Irish @ 17.275829
17 Norwegian @ 17.459055
18 Slovenian @ 18.404331
19 Hungarians @ 22.990721
20 French_Basque @ 25.110489

Using 2 populations approximation:
1 50% CEU +50% Argyll @ 1.170297


Using 3 populations approximation:
1 50% CEU +25% Argyll +25% Argyll @ 1.170297


Using 4 populations approximation:
1 CEU + Argyll + Argyll + Argyll @ 1.125148
2 CEU + CEU + Argyll + Argyll @ 1.170297
3 Dutch + Hungarians + Kent + Argyll @ 1.308211
4 CEU + Argyll + Argyll + N._European @ 1.332748
5 CEU + Orcadian + Argyll + Argyll @ 1.337553
6 Dutch + Hungarians + Kent + Orkney @ 1.349539
7 Dutch + Hungarians + Kent + Orcadian @ 1.353246
8 CEU + Orkney + Argyll + Argyll @ 1.377786
9 Cornwall + Orcadian + Orcadian + Slovenian @ 1.392163
10 Cornwall + Orcadian + Orkney + Slovenian @ 1.395744
11 Dutch + Dutch + Hungarians + Orkney @ 1.419875
12 British + Orcadian + Orcadian + Slovenian @ 1.422038
13 Hungarians + Kent + Kent + Argyll @ 1.428832
14 Cornwall + Orkney + Orkney + Slovenian @ 1.435692
15 Kent + Orcadian + Orkney + Slovenian @ 1.435860
16 British + Orcadian + Orkney + Slovenian @ 1.440885
17 Dutch + Dutch + Hungarians + Orcadian @ 1.441843
18 CEU + CEU + Orkney + Argyll @ 1.442227
19 Kent + Orkney + Orkney + Slovenian @ 1.444221
20 British_Isles + Orcadian + Orcadian + Slovenian @ 1.452193

Brother

Population
East_European 12.25
West_European 55.09
Mediterranean 24.03
Neo_African -
West_Asian 7.71
South_Asian 0.92
Northeast_Asian -
Southeast_Asian -
East_African -
Southwest_Asian -
Northwest_African -
Palaeo_African -

Least-squares method.

Using 1 population approximation:
1 Argyll @ 1.054911
2 Orcadian @ 1.956130
3 Orkney @ 2.136456
4 CEU @ 2.525381
5 N._European @ 3.108260
6 German @ 5.945963
7 Mixed_Germanic @ 8.871409
8 Dutch @ 10.090942
9 Kent @ 12.273680
10 French @ 13.404615
11 French @ 13.739767
12 British_Isles @ 13.966196
13 British @ 14.329733
14 Cornwall @ 15.083957
15 Swedish @ 15.656196
16 Norwegian @ 16.886833
17 Irish @ 17.100389
18 Slovenian @ 18.520096
19 Hungarians @ 23.055592
20 FIN @ 25.461868

Using 2 populations approximation:
1 50% Argyll +50% Argyll @ 1.054911


Using 3 populations approximation:
1 50% Argyll +25% Argyll +25% Argyll @ 1.054911


Using 4 populations approximation:
1 CEU + Argyll + Argyll + Argyll @ 0.952509
2 German + Orcadian + Orcadian + Argyll @ 1.022848
3 Argyll + Argyll + Argyll + Argyll @ 1.054911
4 German + Orcadian + Orkney + Argyll @ 1.086777
5 Orcadian + Argyll + Argyll + Argyll @ 1.090237
6 CEU + Orkney + Argyll + Argyll @ 1.105469
7 CEU + Orcadian + Argyll + Argyll @ 1.110820
8 German + Orcadian + Argyll + Argyll @ 1.128745
9 German + Orkney + Orkney + Argyll @ 1.138090
10 Orkney + Argyll + Argyll + Argyll @ 1.157486
11 German + Orcadian + Orcadian + Orcadian @ 1.163591
12 CEU + German + Orkney + Argyll @ 1.179251
13 German + Orkney + Argyll + Argyll @ 1.184273
14 British_Isles + Orcadian + Orkney + Slovenian @ 1.196290
15 CEU + German + Orcadian + Argyll @ 1.199906
16 British_Isles + Orcadian + Orcadian + Slovenian @ 1.203294
17 German + Orcadian + Orcadian + Orkney @ 1.212416
18 British_Isles + Orkney + Orkney + Slovenian @ 1.215992
19 CEU + German + Orkney + Orkney @ 1.238649
20 CEU + German + Orcadian + Orkney @ 1.251538


Daughter

Population
East_European 11.70
West_European 55.45
Mediterranean 24.75
Neo_African -
West_Asian 6.95
South_Asian -
Northeast_Asian -
Southeast_Asian 0.61
East_African 0.08
Southwest_Asian 0.46
Northwest_African -
Palaeo_African -

Least-squares method.

Using 1 population approximation:
1 Orcadian @ 1.158611
2 Orkney @ 1.492240
3 Argyll @ 1.893945
4 CEU @ 2.049995
5 N._European @ 3.298395
6 German @ 6.599926
7 Mixed_Germanic @ 8.575939
8 Dutch @ 9.525538
9 Kent @ 11.681218
10 French @ 12.569080
11 French @ 12.840936
12 British_Isles @ 13.396226
13 British @ 13.722836
14 Cornwall @ 14.498217
15 Swedish @ 15.742785
16 Irish @ 16.620523
17 Norwegian @ 16.730835
18 Slovenian @ 19.200811
19 Hungarians @ 23.664249
20 French_Basque @ 24.541822

Using 2 populations approximation:
1 50% CEU +50% Orkney @ 1.018040


Using 3 populations approximation:
1 50% CEU +25% Orkney +25% Orkney @ 1.018040


Using 4 populations approximation:
1 CEU + Orcadian + Orcadian + Orkney @ 0.903244
2 CEU + Orcadian + Orcadian + Orcadian @ 0.911846
3 CEU + Orcadian + Orcadian + Argyll @ 0.947716
4 CEU + Orkney + Orkney + Argyll @ 0.964075
5 CEU + Orcadian + Orkney + Argyll @ 0.969004
6 CEU + Orcadian + Orkney + Orkney @ 0.991058
7 CEU + CEU + Orkney + Orkney @ 1.018040
8 CEU + CEU + Orcadian + Orkney @ 1.038351
9 CEU + Orkney + Orkney + Orkney @ 1.056722
10 CEU + CEU + Orkney + Argyll @ 1.072176
11 CEU + CEU + Orcadian + Orcadian @ 1.075877
12 Orcadian + Orcadian + Orcadian + N._European @ 1.086355
13 CEU + CEU + Orcadian + Argyll @ 1.094131
14 CEU + Orcadian + Argyll + Argyll @ 1.132774
15 Orcadian + Orcadian + Orcadian + Argyll @ 1.148549
16 CEU + Orcadian + Orcadian + N._European @ 1.151967
17 Orcadian + Orcadian + Orcadian + Orcadian @ 1.158611
18 CEU + Orkney + Argyll + Argyll @ 1.178635
19 Orcadian + Orcadian + Orkney + Argyll @ 1.184440
20 CEU + Orcadian + Orkney + N._European @ 1.206748

Dubhthach
10-26-2016, 11:54 AM
That's unusual but interesting. All my family are 100% Irish. Your West European is really high.

You should see DOD350's results, he's from Donegal and is Haplogroup I2 (he posts here I believe)

DOD350
East_European 0.1%
West_European 73.4%
Mediterranean 18.8%
West_Asian: 6.5%
Southwest_Asian: 1.1%

He has highest "West_European" for an Irish person that I ever saw back when people where posting results/ancestry in Dodecad blog.

Jessie
10-26-2016, 12:02 PM
You should see DOD350's results, he's from Donegal and is Haplogroup I2 (he posts here I believe)

DOD350
East_European 0.1%
West_European 73.4%
Mediterranean 18.8%
West_Asian: 6.5%
Southwest_Asian: 1.1%

He has highest "West_European" for an Irish person that I ever saw back when people where posting results/ancestry in Dodecad blog.

That's an amazingly high result. I wonder why there is the discrepancy with people like myself and Kevin? Possibly the calculator effect. It is interesting for people to compare as there is not many Irish people posting results so it's always great to see people such as yourself posting. I just dismissed Dodecad V3 as inaccurate but it obviously wasn't for yourself.

Dubhthach
10-26-2016, 12:23 PM
Well Kevin and myself share a surname, though we obviously belong to separate Y-DNA lineages (there's at least 4-5 distinct families bearing the name), in his case the surname and Y-DNA points to deep ancestry in Monaghan area. What should be remember though that Cavan and Monaghan been in Ulster have high levels of Plantation input (Cavan was one of the planted counties initially) during the 17th century.

So some of variation we are seeing MIGHT be due to different localised population histories in various parts of Ireland over the last 400 years. If we go back to 1911 census for example Galway was about 2.2% Protestant in population composition, Monaghan was 24% and Cavan was at about 18%

shazou
10-26-2016, 01:20 PM
Admix Results (sorted):

# Population Percent
1 Southeast_Asian 78.49
2 Northeast_Asian 8.78
3 South_Asian 5.93
4 East_European 3.78
5 Southwest_Asian 1.21
6 Mediterranean 0.6
7 East_African 0.57
8 West_European 0.29
9 Neo_African 0.21
10 Palaeo_African 0.08
11 West_Asian 0.05

Single Population Sharing:

# Population (source) Distance
1 Khmer_Cambodian (Xing) 6.74
2 Cambodians (HGDP) 7.33
3 Vietnamese (Xing) 7.5
4 MAS (SGVP) 10.5
5 Naxi (HGDP) 10.91
6 Yizu (HGDP) 11.1
7 She (HGDP) 11.16
8 Han (HGDP) 11.17
9 Tujia (HGDP) 11.27
10 CHB (HapMap) 11.62
11 JPT (HapMap) 12.22
12 Chinese (Dodecad) 12.33
13 Thai (Xing) 12.4
14 Miaozu (HGDP) 12.45
15 CHD (HapMap) 12.76
16 CHS (SGVP) 13.86
17 Dai (HGDP) 15.49
18 Lahu (HGDP) 15.56
19 Nysha (Reich) 15.6
20 Aonaga (Reich) 15.65

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 61.9% MAS (SGVP) + 38.1% Tu (HGDP) @ 2.42
2 73.6% Cambodians (HGDP) + 26.4% Korean (Dodecad) @ 2.51
3 72.7% MAS (SGVP) + 27.3% Xibo (HGDP) @ 2.53
4 70.7% Cambodians (HGDP) + 29.3% Tu (HGDP) @ 2.54
5 69.2% Cambodians (HGDP) + 30.8% Aonaga (Reich) @ 2.59
6 72.7% Cambodians (HGDP) + 27.3% Japanese (HGDP) @ 2.6
7 80% Cambodians (HGDP) + 20% Xibo (HGDP) @ 2.81
8 52.5% Tujia (HGDP) + 47.5% Thai (Xing) @ 2.86
9 76.4% MAS (SGVP) + 23.6% Mongola (HGDP) @ 2.86
10 52.8% She (HGDP) + 47.2% Thai (Xing) @ 2.86
11 92.9% Vietnamese (Xing) + 7.1% Vaish (Reich) @ 2.95
12 92.9% Vietnamese (Xing) + 7.1% Srivastava (Reich) @ 2.95
13 69.5% Cambodians (HGDP) + 30.5% Nysha (Reich) @ 2.96
14 61% Cambodians (HGDP) + 39% Naxi (HGDP) @ 2.98
15 64.1% Cambodians (HGDP) + 35.9% Chinese (Dodecad) @ 3
16 92.8% Vietnamese (Xing) + 7.2% Kashmiri_Pandit (Reich) @ 3.01
17 93% Vietnamese (Xing) + 7% Meghawal (Reich) @ 3.03
18 52.8% Han (HGDP) + 47.2% Thai (Xing) @ 3.05
19 92.9% Vietnamese (Xing) + 7.1% Cochin_Jews (Behar) @ 3.05
20 93% Vietnamese (Xing) + 7% Pakistani (Xing) @ 3.06

FredBats
10-28-2016, 10:24 AM
Friend
Admix Results (sorted):

# Population Percent
1 West_European 62.22
2 East_European 37.78

Using 1 population approximation:
1 Finnish @ 3.042158
2 FIN @ 3.295510
3 Swedish @ 10.975588
4 Norwegian @ 10.562717
5 German @ 15.781105
6 Polish @ 15.309380
7 Russian @ 15.968143 --- (HGDP)
8 Russian @ 16.289684 --- (Dodecad)
9 Mixed_Slav @ 16.297916
10 Argyll @ 18.671253
11 Lithuanians @ 18.740601 ---- (Behar)
12 N._European @ 19.113262
13 Slovenian @ 19.315521
14 Orkney @ 19.326683
15 Orcadian @ 19.598877
16 Hungarians @ 20.512272
17 CEU @ 20.606056
18 Lithuanian @ 20.639107 --- (Dodecad)
19 Mixed_Germanic @ 21.228123
20 Belorussian @ 23.101513

Using 2 populations approximation:
1 50% FIN +50% Finnish @ 2.839005

Using 3 populations approximation:
1 50% Finnish +25% Finnish +25% Swedish @ 2.402457

Using 4 populations approximation:
1 Finnish + Finnish + Finnish + Swedish @ 2.402457
2 Finnish + Finnish + Finnish + Norwegian @ 2.598648
3 FIN + FIN + Finnish + Finnish @ 2.839005
4 FIN + Finnish + Finnish + Finnish @ 3.115759
5 FIN + FIN + FIN + Finnish @ 3.252655
6 FIN + Finnish + Finnish + Swedish @ 3.277217
7 FIN + Finnish + Finnish + Norwegian @ 3.693109
8 FIN + Finnish + Finnish + Norwegian @ 3.955425
9 Finnish + Finnish + Finnish + Finnish @ 4.042158
10 FIN + Finnish + FIN + Swedish @ 4.071076
11 FIN + Finnish + FIN + Norwegian @ 4.120743
12 FIN + Finnish + Lithuanians + Swedish @ 4.181254
13 Finnish + Finnish + FIN + Norwegian @ 4.193195
14 Finnish + Finnish + Lithuanians + Norwegian @ 4.202097
15 Finnish + Finnish + Swedish + Swedish @ 4.230703
16 FIN + FIN + FIN + Swedish @ 4.245555
17 FIN + FIN + FIN + FIN @ 4.295510
18 Finnish + Finnish + Finnish + Swedish @ 4.339775
19 FIN + FIN + FIN + Norwegian @ 4.352918
20 Finnish + Finnish + Finnish + Swedish @ 4.481847

I guess those 2 Lithuanians were just sort of thrown in there for the heck of it.


Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 78.7% Finnish (Dodecad) + 21.3% Swedish (Dodecad) @ 1.5
2 81.3% Finnish (Dodecad) + 18.7% Norwegian (Dodecad) @ 1.55
3 52.9% Finnish (Dodecad) + 47.1% FIN (1000Genomes) @ 2.12
4 87.8% Finnish (Dodecad) + 12.2% Irish (Dodecad) @ 2.16
5 89% Finnish (Dodecad) + 11% British_Isles (Dodecad) @ 2.39
6 89.5% Finnish (Dodecad) + 10.5% British (Dodecad) @ 2.44
7 89.7% Finnish (Dodecad) + 10.3% Cornwall (1000 Genomes) @ 2.44
8 90.2% Finnish (Dodecad) + 9.8% Kent (1000 Genomes) @ 2.56
9 91.1% Finnish (Dodecad) + 8.9% Dutch (Dodecad) @ 2.7
10 91.3% Finnish (Dodecad) + 8.7% Mixed_Germanic (Dodecad) @ 2.75
11 89.2% FIN (1000Genomes) + 10.8% Lithuanian (Dodecad) @ 2.83
12 89.5% FIN (1000Genomes) + 10.5% Lithuanians (Behar) @ 2.93
13 93.1% Finnish (Dodecad) + 6.9% Orkney (1000 Genomes) @ 2.95
14 93.5% Finnish (Dodecad) + 6.5% Orcadian (HGDP) @ 2.98
15 93.6% Finnish (Dodecad) + 6.4% Argyll (1000 Genomes) @ 2.99
16 94.9% Finnish (Dodecad) + 5.1% N._European (Xing) @ 3.05
17 94.8% Finnish (Dodecad) + 5.2% German (Dodecad) @ 3.08
18 95.8% Finnish (Dodecad) + 4.2% CEU (HapMap) @ 3.08
19 99.1% Finnish (Dodecad) + 0.9% French (HGDP) @ 3.15
20 99.8% Finnish (Dodecad) + 0.2% French_Basque (HGDP) @ 3.16


Ps. Including the mixed population's ID in the first population for Russians & Lithuanians for anyone's curiosity as well they're not so readily IDed being the same name.

AnnieD
10-29-2016, 01:42 AM
Friend
Admix Results (sorted):

# Population Percent
1 West_European 62.22
2 East_European 37.78

Using 1 population approximation:
1 Finnish @ 3.042158
2 FIN @ 3.295510
3 Swedish @ 10.975588

Would your friend let you tell us what his or her known ancestry is? Those are very Finnish results. Finnish are generally considered an outlier in genetics, very distinct.

gruder
10-29-2016, 03:45 AM
Population Percent
1 West_European 54.13
2 Mediterranean 26.43
3 East_European 9.27
4 West_Asian 6.84
5 Northeast_Asian 1.08
6 South_Asian 1.02
7 Southwest_Asian 0.55
8 Palaeo_African 0.27
9 Southeast_Asian 0.26
10 East_African 0.09
11 Neo_African 0.06

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 2.28
2 Orcadian (HGDP) 3.13
3 Orkney (1000 Genomes) 3.39
4 Argyll (1000 Genomes) 3.89
5 N._European (Xing) 4.06
6 Mixed_Germanic (Dodecad) 8.02
7 German (Dodecad) 8.25
8 Dutch (Dodecad) 8.45
9 French (HGDP) 8.72
10 French (Dodecad) 9.05
11 Kent (1000 Genomes) 10.49
12 British_Isles (Dodecad) 12.27
13 British (Dodecad) 12.36
14 Cornwall (1000 Genomes) 12.96
15 Irish (Dodecad) 15.29
16 Swedish (Dodecad) 16.43
17 Norwegian (Dodecad) 16.77
18 Slovenian (Xing) 17.9
19 French_Basque (HGDP) 19.91
20 Hungarians (Behar) 21.93

FredBats
10-29-2016, 09:01 AM
Would your friend let you tell us what his or her known ancestry is? Those are very Finnish results. Finnish are generally considered an outlier in genetics, very distinct.

I'd hope they're Finnish results. He is, after all, a Finn.

He was born in Helsinki, however, most of his ancestry is from outside the city. One grandparent I believe, have to confirm, is likewise Helsinki born the others no.

Tomris
11-06-2016, 02:46 PM
Admix Results (sorted):

# Population Percent
1 Mediterranean 27.46
2 West_European 26.11
3 West_Asian 20.20
4 East_European 13.43
5 Southwest_Asian 6.31
6 Northeast_Asian 3.05
7 Southeast_Asian 2.37


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Romanians_14 @ 13.640671
2 Tuscan @ 13.848379
3 Ashkenazy_Jews @ 14.435120
4 Tuscan @ 14.933278
5 TSI @ 15.154315
6 Ashkenazi @ 16.361935
7 Balkans @ 17.514614
8 O_Italian @ 18.471294
9 Slovenian @ 20.568363
10 C_Italian @ 21.039499
11 Hungarians @ 21.628323
12 Greek @ 21.777884
13 N_Italian @ 22.226318
14 Tuscan @ 23.077087
15 Morocco_Jews @ 23.106056
16 S_Italian_Sicilian @ 23.968016
17 Stalskoe @ 24.285656
18 Sicilian @ 25.580950
19 S_Italian @ 27.111544
20 North_Italian @ 27.300959

Using 2 populations approximation:
1 50% Cypriots +50% FIN @ 5.789934


Using 3 populations approximation:
1 50% C_Italian +25% Finnish +25% Stalskoe @ 3.109386


Using 4 populations approximation:
1 Ashkenazy_Jews + Finnish + North_Italian + Turks @ 1.804314
2 Ashkenazy_Jews + Finnish + Turkish + Tuscan @ 1.824089
3 Ashkenazi + Finnish + North_Italian + Turks @ 1.854655
4 Ashkenazi + Finnish + N_Italian + Turks @ 1.947446
5 Finnish + Sephardic_Jews + Tuscan + Stalskoe @ 1.999625
6 C_Italian + Finnish + Turkish + Tuscan @ 2.001350
7 C_Italian + Finnish + Turks + Tuscan @ 2.073280
8 Ashkenazi + Finnish + N_Italian + Turkish @ 2.087702
9 Ashkenazi + Finnish + Turkish + Tuscan @ 2.103745
10 C_Italian + Finnish + Sicilian + Stalskoe @ 2.108786
11 C_Italian + Finnish + Turkish + Tuscan @ 2.136323
12 Assyrian + Chuvashs_16 + French + Tuscan @ 2.173797
13 C_Italian + Finnish + Turks + Tuscan @ 2.175209
14 Ashkenazy_Jews + Finnish + N_Italian + Turks @ 2.176568
15 Chuvashs_16 + Cypriots + Irish + S_Italian @ 2.235047
16 Assyrian + Chuvashs_16 + French + Tuscan @ 2.238436
17 Cypriots + Finnish + North_Italian + Stalskoe @ 2.263971
18 C_Italian + Finnish + TSI + Turkish @ 2.263996
19 Ashkenazy_Jews + Finnish + O_Italian + Turkish @ 2.267557
20 Assyrian + Chuvashs_16 + French + North_Italian @ 2.275190


12467 12468 12469

Tomenable
11-06-2016, 03:15 PM
This calculator is very Western-biased.

This is me (I'm Western Polish):

Admix Results (sorted):

# Population Percent
1 West_European 42.87
2 East_European 28.79
3 Mediterranean 18.88
4 West_Asian 8.71
5 South_Asian 0.41
6 Southwest_Asian 0.29
7 East_African 0.05

This is Eastern Pole from Kresy:

https://en.wikipedia.org/wiki/Kresy

Admix Results (sorted):

# Population Percent
1 West_European 39.91
2 East_European 36.54
3 Mediterranean 15.78
4 West_Asian 5.16
5 Southwest_Asian 1.67
6 Southeast_Asian 0.67
7 Northeast_Asian 0.21
8 South_Asian 0.05

===============

So I don't know where exactly does "Eastern Europe" start according to this calculator ???

Maybe someone from the Ural would score 45% East Europe... and 35% West Europe? :biggrin1:

bix
11-06-2016, 03:41 PM
Admix Results (sorted):

# Population Percent
1 West_European 51.51
2 Mediterranean 24.50
3 East_European 12.78
4 West_Asian 8.33

This is what I get.

Most of my family has been in the U.S. for 200 to 300 years, and have most of the genealogy nailed down (Swiss Mennonites, Huguenots, Irish and English and one great grandmother North German) I don't know, or know anyone for that matter who knew or ever knew much of my mother's paternal grandfather.

I'm thinking most of the East Euro and West Asian must have come from him.

Underworld
11-06-2016, 06:21 PM
This calculator is very Western-biased.

So I don't know where exactly does "Eastern Europe" start according to this calculator ???

Maybe someone from the Ural would score 45% East Europe... and 35% West Europe? :biggrin1:

Yes it's biased because this calculator includes both West and Northern European genes under the West European label. A lot of the West European that shows up in your results is actually Northern European :)

FredBats
11-06-2016, 06:29 PM
Yes it's biased because this calculator includes both West and Northern European genes under the West European label. A lot of the West European that shows up in your results is actually Northern European :)

Oh? Then Russians are only ever to be considered Northern Europeans? I thought they were eastern Europeans...

However, this is a close friend whose ancestry goes back to Russia, more central and eastern than western Russia, for well over 300 years.

# Population Percent
1 West_European 42.29
2 East_European 40.62
3 Mediterranean 12.97
4 West_Asian 2.49
5 Northeast_Asian 1.63

Using 1 population approximation:
1 Polish @ 9.675122
2 Mixed_Slav @ 10.834229
3 Russian @ 13.556856
4 Finnish @ 13.982534
5 Russian @ 16.349611
6 FIN @ 18.449131
7 Hungarians @ 20.548237
8 Belorussian @ 20.607470
9 Lithuanians @ 21.685549
10 Slovenian @ 22.578369

Using 2 populations approximation:
1 50% German +50% Lithuanian @ 2.623104

Using 3 populations approximation:
1 50% Belorussian +25% Finnish +25% Orkney @ 2.272137

Using 4 populations approximation:
1 Belorussian + FIN + German + Lithuanians @ 0.688140
2 Belorussian + FIN + German + Lithuanian @ 0.800640
3 Finnish + French + Lithuanians + Lithuanians @ 0.928347
4 Finnish + French + Lithuanians + Lithuanians @ 1.115381
5 Finnish + French + Lithuanian + Lithuanians @ 1.190320
6 Belorussian + Finnish + Lithuanians + Orcadian @ 1.208691
7 Belorussian + Finnish + Lithuanians + Orkney @ 1.284012
8 Belorussian + FIN + Lithuanian + Argyll @ 1.306984
9 Belorussian + CEU + FIN + Lithuanian @ 1.349241
10 Finnish + French + Lithuanian + Lithuanians @ 1.434693

The fact that it indeed doesn't really move past the generic Baltic region is a good indication that the oracle is indeed rather western based.

Underworld
11-06-2016, 07:57 PM
Oh? Then Russians are only ever to be considered Northern Europeans? I thought they were eastern Europeans...

However, this is a close friend whose ancestry goes back to Russia, more central and eastern than western Russia, for well over 300 years.

The fact that it indeed doesn't really move past the generic Baltic region is a good indication that the oracle is indeed rather western based.

I don't think we disagreed, as I also said that the calculator is western-biased, I just gave a reason as to why I think it is. Russians are obviously Eastern Europeans, but they have a lot of NorthernEuropean-like genes too, and when you put those together with their actual Western genes, it goes over their Eastern genes, but only because this calculator's definition of Eastern European admixture is very limited (it includes a lot of the Baltic-like genes as Western admixture). The Oracle is off too.

Ukrainian:

1 West_European 39.76
2 East_European 28.45
3 Mediterranean 20.2
4 West_Asian 8.04
5 Southeast_Asian 1.12
6 Northeast_Asian 1.04
7 Southwest_Asian 0.75
8 South_Asian 0.64

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 5.76
2 Slovenian (Xing) 6.7
3 German (Dodecad) 15.86
4 Polish (Dodecad) 16.1
5 Mixed_Slav (Dodecad) 16.29
6 Balkans (Dodecad) 17.3
7 FIN (1000Genomes) 19.93
8 N._European (Xing) 20.82
9 CEU (HapMap) 20.83
10 Argyll (1000 Genomes) 21.11
11 Romanians_14 (Behar) 21.49
12 Russian (Dodecad) 21.62
13 Orcadian (HGDP) 22.02
14 Orkney (1000 Genomes) 22.2
15 Finnish (Dodecad) 22.3
16 Russian (HGDP) 25.15
17 French (Dodecad) 27.41
18 Belorussian (Behar) 27.63
19 Mixed_Germanic (Dodecad) 27.71
20 French (HGDP) 27.88

Russian with all ancestors from Pskov, Saint Petersburg, very near the Baltics:

1 West_European 42.33
2 East_European 36.13
3 Mediterranean 15.98
4 West_Asian 4.25
5 Northeast_Asian 0.79
6 South_Asian 0.37
7 Southwest_Asian 0.15

Single Population Sharing:

# Population (source) Distance
1 Polish (Dodecad) 10.33
2 Mixed_Slav (Dodecad) 11.28
3 Hungarians (Behar) 13.73
4 Slovenian (Xing) 15.34
5 Russian (Dodecad) 15.65
6 Finnish (Dodecad) 15.65
7 FIN (1000Genomes) 16.34
8 Russian (HGDP) 18.99
9 German (Dodecad) 20.69
10 Belorussian (Behar) 21.79
11 Balkans (Dodecad) 23.52
12 Lithuanians (Behar) 24.18
13 Argyll (1000 Genomes) 26.35
14 N._European (Xing) 26.35
15 CEU (HapMap) 26.58
16 Lithuanian (Dodecad) 26.78
17 Orcadian (HGDP) 27.22
18 Orkney (1000 Genomes) 27.3
19 Romanians_14 (Behar) 28.63
20 Swedish (Dodecad) 30.04

Western Russian:

# Population Percent
1 West_European 36.37
2 East_European 33.63
3 Mediterranean 15.99
4 West_Asian 8.71
5 Northeast_Asian 3.5
6 Northwest_African 0.84
7 Southeast_Asian 0.53
8 Neo_African 0.26
9 South_Asian 0.17

Single Population Sharing:

# Population (source) Distance
1 Mixed_Slav (Dodecad) 10.76
2 Hungarians (Behar) 11.34
3 Polish (Dodecad) 11.69
4 Slovenian (Xing) 13.33
5 Russian (Dodecad) 15.21
6 Russian (HGDP) 18.4
7 Balkans (Dodecad) 18.81
8 Finnish (Dodecad) 19.36
9 FIN (1000Genomes) 20.54
10 Belorussian (Behar) 22.24
11 German (Dodecad) 22.25
12 Romanians_14 (Behar) 23.55
13 Lithuanians (Behar) 26.11
14 Chuvashs_16 (Behar) 26.39
15 N._European (Xing) 27.22
16 Argyll (1000 Genomes) 27.48
17 CEU (HapMap) 27.49
18 Orcadian (HGDP) 28.52
19 Lithuanian (Dodecad) 28.53
20 Orkney (1000 Genomes) 28.66

Using EUTest on this last Russian:

# Population Percent
1 SOUTH_BALTIC 27.21
2 EAST_EURO 24.94
3 ATLANTIC 16.49
4 NORTH-CENTRAL_EURO 14.09
5 WEST_ASIAN 6.64
6 WEST_MED 3.94
7 EAST_MED 3.67
8 SIBERIAN 2.63
9 EAST_AFRICAN 0.37

Single Population Sharing:

# Population (source) Distance
1 West_Russian 4.4
2 Ukrainian-Russian 5.9
3 PL 7.2
4 UA 7.84
5 East_Russian 8.09
6 Belorussian 8.4
7 Northwest_Russian 9.12
8 Erzya 9.33
9 EE 9.65
10 North_Russian 9.83
11 East_Finnish 11.31
12 South_Finnish 11.88
13 LIT 12.39
14 HU 14.29
15 North_Swedish 17.18
16 Udmurt 17.39
17 AT 17.76
18 Serbian 18.78
19 Komi 18.78
20 South_&_Central_Swedish 20.7

Comparing both, Dodecad V3 seems to include East_Euro in it's Eastern Euro category as expected, but then it only includes a small part of Baltic (Northeast European) genes, which under this calculator's circumstances (only separates between West and East, not North) should probably also be included as Eastern Euro.

For curiosity's sake, examples of Northern Europeans - Finns also appear as primarily Western European, and a lot more than the previous examples, as they obviously have more Northwest and Northeast European genes, both of which are included in West European. The Oracle seems to work better for them:

1 West_European 49.59
2 East_European 30.37
3 Mediterranean 12.59
4 Northeast_Asian 5.06
5 South_Asian 1.1
6 Northwest_African 0.7
7 Southwest_Asian 0.34
8 West_Asian 0.21
9 Southeast_Asian 0.04

Single Population Sharing:

# Population (source) Distance
1 FIN (1000Genomes) 6.93
2 Finnish (Dodecad) 11.99
3 German (Dodecad) 17.15
4 Slovenian (Xing) 18.07
5 Hungarians (Behar) 18.77
6 Polish (Dodecad) 19.92
7 Mixed_Slav (Dodecad) 20.64
8 Argyll (1000 Genomes) 22.12
9 N._European (Xing) 22.17
10 Swedish (Dodecad) 22.64
11 Orkney (1000 Genomes) 22.92
12 CEU (HapMap) 22.99
13 Orcadian (HGDP) 23.01
14 Russian (Dodecad) 23.15
15 Russian (HGDP) 24.61
16 Norwegian (Dodecad) 26.07
17 Mixed_Germanic (Dodecad) 27.72
18 Dutch (Dodecad) 28.88
19 Kent (1000 Genomes) 30.32
20 Belorussian (Behar) 30.34

Southwest Swedish, with huge West European:

1 West_European 55.19
2 Mediterranean 20.48
3 East_European 14.68
4 West_Asian 4.9
5 South_Asian 3.29
6 Southwest_Asian 1.38
7 Neo_African 0.08

Single Population Sharing:

# Population (source) Distance
1 German (Dodecad) 4.56
2 Argyll (1000 Genomes) 5.4
3 N._European (Xing) 5.46
4 Orkney (1000 Genomes) 5.92
5 Orcadian (HGDP) 6.2
6 CEU (HapMap) 6.76
7 Mixed_Germanic (Dodecad) 10.73
8 Dutch (Dodecad) 11.61
9 Swedish (Dodecad) 12.09
10 Kent (1000 Genomes) 13.39
11 Norwegian (Dodecad) 13.99
12 British_Isles (Dodecad) 14.32
13 British (Dodecad) 14.78
14 Cornwall (1000 Genomes) 15.61
15 French (Dodecad) 16.2
16 French (HGDP) 16.24
17 Slovenian (Xing) 16.44
18 Irish (Dodecad) 16.62
19 FIN (1000Genomes) 19.48
20 Hungarians (Behar) 20.36

Danish:

1 West_European 61.89
2 Mediterranean 19.85
3 East_European 10.54
4 West_Asian 5.31
5 Southwest_Asian 1.4
6 South_Asian 0.64
7 Northeast_Asian 0.22
8 Neo_African 0.12
9 Palaeo_African 0.04

Single Population Sharing:

# Population (source) Distance
1 Mixed_Germanic (Dodecad) 6.43
2 Orkney (1000 Genomes) 6.62
3 Dutch (Dodecad) 6.65
4 Argyll (1000 Genomes) 7.1
5 Orcadian (HGDP) 7.11
6 Swedish (Dodecad) 7.25
7 Kent (1000 Genomes) 7.52
8 Norwegian (Dodecad) 7.53
9 N._European (Xing) 7.73
10 British_Isles (Dodecad) 7.77
11 British (Dodecad) 8.44
12 CEU (HapMap) 9.12
13 Cornwall (1000 Genomes) 9.3
14 Irish (Dodecad) 9.66
15 German (Dodecad) 10.34
16 French (HGDP) 16.73
17 French (Dodecad) 17.13
18 FIN (1000Genomes) 22.51
19 Slovenian (Xing) 23.05
20 French_Basque (HGDP) 26.82


Last one :deadhorse:, a Spaniard that is Basque, Navarrese and Catalonian, should be a lot more West European then a Finn right? Not on this calculator :wacko:


# Population Percent
1 Mediterranean 49.49
2 West_European 44
3 West_Asian 2.98
4 East_European 1.04
5 Northwest_African 0.91
6 Neo_African 0.69
7 Southwest_Asian 0.63
8 Palaeo_African 0.27

Single Population Sharing:

# Population (source) Distance
1 Spaniards (Behar) 2.91
2 Spanish (Dodecad) 4.1
3 IBS (1000Genomes) 4.86
4 French_Basque (HGDP) 8.47
5 Portuguese (Dodecad) 8.75
6 North_Italian (HGDP) 12.77
7 N_Italian (Dodecad) 14.31
8 Sardinian (HGDP) 14.61
9 French (Dodecad) 15.75
10 French (HGDP) 16.64
11 Tuscan (HGDP) 21.03
12 Tuscan (Henn) 22.2
13 TSI (HapMap) 22.34
14 O_Italian (Dodecad) 22.95
15 Tuscan (Xing) 23.1
16 CEU (HapMap) 25.47
17 Orcadian (HGDP) 26.85
18 Orkney (1000 Genomes) 27.21
19 C_Italian (Dodecad) 27.61
20 N._European (Xing) 27.81

FredBats
11-06-2016, 10:15 PM
I don't think we disagreed, as I also said that the calculator is western-biased, I just gave a reason as to why I think it is. Russians are obviously Eastern Europeans, but they have a lot of NorthernEuropean-like genes too, and when you put those together with their actual Western genes, it goes over their Eastern genes, but only because this calculator's definition of Eastern European admixture is very limited (it includes a lot of the Baltic-like genes as Western admixture). The Oracle is off too.


Serves me for responding on a rush at work - missed that agreement.


Though sometimes it makes one wonder. Just about an hour & a half northeast from Moscow.

Using 1 population approximation:
1 Mixed_Slav @ 8.985642
2 Polish @ 11.565685
3 Hungarians @ 13.659542
4 Russian @ 14.658631
5 Slovenian @ 17.256424

Using 2 populations approximation:
1 50% Balkans +50% Finnish @ 2.562142

Using 3 populations approximation:
1 50% Russian +25% Argyll +25% Slovenian @ 2.656845

Using 4 populations approximation:
1 Hungarians + Russian + Russian + Argyll @ 2.312163
2 Balkans + Russian + Russian + Swedish @ 2.336529
3 Hungarians + Orcadian + Russian + Russian @ 2.339568
4 German + Russian + Russian + Slovenian @ 2.345623
5 Hungarians + Orkney + Russian + Russian @ 2.385896
6 FIN + Finnish + Greek + Lithuanians @ 2.536152


EU
# Population (source) Distance
1 Northwest_Russian 4.25
2 Ukrainian-Russian 4.58
3 West_Russian 5.62
4 Belorussian 5.65
5 UA 6.98
6 North_Russian 7.15
7 East_Russian 7.56
8 EE 7.68
9 LIT 8.65
10 PL 8.91



versus sibling, same region

Using 1 population approximation:
1 Polish @ 9.675122
2 Mixed_Slav @ 10.834229
3 Russian @ 13.556856
4 Finnish @ 13.982534
5 Russian @ 16.349611
6 FIN @ 18.449131

Using 2 populations approximation:
1 50% German +50% Lithuanian @ 2.623104

Using 3 populations approximation:
1 50% Belorussian +25% Finnish +25% Orkney @ 2.272137

Using 4 populations approximation:
1 Belorussian + FIN + German + Lithuanians @ 0.688140
2 Belorussian + FIN + German + Lithuanian @ 0.800640
3 Finnish + French + Lithuanians + Lithuanians @ 0.928347
4 Finnish + French + Lithuanians + Lithuanians @ 1.115381
5 Finnish + French + Lithuanian + Lithuanians @ 1.190320
6 Belorussian + Finnish + Lithuanians + Orcadian @ 1.208691


EUtest
# Population (source) Distance
1 Northwest_Russian 5.43
2 LIT 6.25
3 Belorussian 7.96
4 EE 8.71
5 West_Russian 10.84
6 Ukrainian-Russian 11.02
7 North_Russian 12.11
8 UA 12.25
9 PL 12.55
10 East_Russian 13.99

Tomenable
11-06-2016, 11:56 PM
Oh? Then Russians are only ever to be considered Northern Europeans? I thought they were Eastern Europeans.

From the genetic point of view there are, first of all, Northern and Southern Europeans.

This is the main "division", rather than Western/Eastern.

Then within Northern Europeans you can distinguish North-Eastern and North-Western.

And within Southern Europeans, you can also distinguish South-Western and Balkan.

Russians are pretty much North-Eastern Europeans, yes.

Tz85
11-07-2016, 12:41 AM
Me
Admix Results (sorted):

# Population Percent
1 West_European 38.33
2 Mediterranean 26.1
3 East_European 17.39
4 West_Asian 13.65
5 Southwest_Asian 3.05
6 Northwest_African 0.58
7 Southeast_Asian 0.46
8 East_African 0.17
9 Neo_African 0.17
10 South_Asian 0.08

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 6.38
2 Hungarians (Behar) 9.69
3 German (Dodecad) 14.81
4 Balkans (Dodecad) 16.14
5 CEU (HapMap) 16.16
6 N._European (Xing) 16.58
7 Romanians_14 (Behar) 16.82
8 Argyll (1000 Genomes) 17.42
9 Tuscan (Xing) 17.98
10 Orcadian (HGDP) 18.14
11 Tuscan (Henn) 18.2
12 TSI (HapMap) 18.45
13 Orkney (1000 Genomes) 18.48
14 French (Dodecad) 19.59
15 French (HGDP) 19.61
16 N_Italian (Dodecad) 20.5
17 Mixed_Germanic (Dodecad) 22.81
18 O_Italian (Dodecad) 23.15
19 Portuguese (Dodecad) 24.2
20 Ashkenazy_Jews (Behar) 24.45

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 75.1% Slovenian (Xing) + 24.9% TSI (HapMap) @ 1.87
2 74.8% Slovenian (Xing) + 25.2% Tuscan (Xing) @ 2.07
3 75.1% Slovenian (Xing) + 24.9% Tuscan (Henn) @ 2.18
4 64.8% Romanians_14 (Behar) + 35.2% Norwegian (Dodecad) @ 2.32
5 50.4% N._European (Xing) + 49.6% Romanians_14 (Behar) @ 2.63
6 63.3% Romanians_14 (Behar) + 36.7% Swedish (Dodecad) @ 2.7
7 80% Slovenian (Xing) + 20% O_Italian (Dodecad) @ 2.73
8 58.8% Balkans (Dodecad) + 41.2% Mixed_Germanic (Dodecad) @ 2.92
9 57.7% Romanians_14 (Behar) + 42.3% Mixed_Germanic (Dodecad) @ 2.93
10 82.1% Slovenian (Xing) + 17.9% Ashkenazi (Dodecad) @ 2.93
11 81.2% Slovenian (Xing) + 18.8% Ashkenazy_Jews (Behar) @ 3.01
12 83% Slovenian (Xing) + 17% C_Italian (Dodecad) @ 3.06
13 50.9% Romanians_14 (Behar) + 49.1% Argyll (1000 Genomes) @ 3.17
14 65.3% Romanians_14 (Behar) + 34.7% Irish (Dodecad) @ 3.23
15 85.3% Slovenian (Xing) + 14.7% S_Italian_Sicilian (Dodecad) @ 3.24
16 82.7% Slovenian (Xing) + 17.3% Tuscan (HGDP) @ 3.38
17 85.5% Slovenian (Xing) + 14.5% Morocco_Jews (Behar) @ 3.38
18 86.6% Slovenian (Xing) + 13.4% S_Italian (Dodecad) @ 3.41
19 64.7% TSI (HapMap) + 35.3% Finnish (Dodecad) @ 3.46
20 63.2% Romanians_14 (Behar) + 36.8% British_Isles (Dodecad) @ 3.56

Mom
Admix Results (sorted):

# Population Percent
1 West_European 31.69
2 Mediterranean 28.76
3 West_Asian 17.41
4 East_European 16.16
5 Southwest_Asian 3.67
6 Northwest_African 1.17
7 Southeast_Asian 0.54
8 Northeast_Asian 0.46
9 Neo_African 0.14

Single Population Sharing:

# Population (source) Distance
1 Romanians_14 (Behar) 11.54
2 Slovenian (Xing) 12.47
3 Balkans (Dodecad) 13.22
4 Tuscan (Xing) 13.33
5 Hungarians (Behar) 13.67
6 Tuscan (Henn) 13.96
7 TSI (HapMap) 14.14
8 N_Italian (Dodecad) 17.95
9 O_Italian (Dodecad) 17.99
10 Ashkenazy_Jews (Behar) 18.13
11 Ashkenazi (Dodecad) 19.79
12 Tuscan (HGDP) 21.37
13 C_Italian (Dodecad) 21.51
14 German (Dodecad) 22.03
15 CEU (HapMap) 22.56
16 North_Italian (HGDP) 22.88
17 Greek (Dodecad) 22.95
18 N._European (Xing) 23.1
19 French (HGDP) 23.68
20 French (Dodecad) 23.76

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 75.5% Slovenian (Xing) + 24.5% Cypriots (Behar) @ 2.9
2 69.9% Slovenian (Xing) + 30.1% S_Italian (Dodecad) @ 3.08
3 73.9% TSI (HapMap) + 26.1% Russian (HGDP) @ 3.1
4 61.8% Slovenian (Xing) + 38.2% Ashkenazi (Dodecad) @ 3.13
5 68.6% TSI (HapMap) + 31.4% Mixed_Slav (Dodecad) @ 3.18
6 67.7% Slovenian (Xing) + 32.3% S_Italian_Sicilian (Dodecad) @ 3.19
7 59.7% Slovenian (Xing) + 40.3% Ashkenazy_Jews (Behar) @ 3.21
8 78% TSI (HapMap) + 22% Lithuanian (Dodecad) @ 3.25
9 77.1% TSI (HapMap) + 22.9% Lithuanians (Behar) @ 3.32
10 70% Tuscan (Xing) + 30% Mixed_Slav (Dodecad) @ 3.45
11 73.4% Tuscan (Xing) + 26.6% Russian (Dodecad) @ 3.46
12 59.6% Hungarians (Behar) + 40.4% Ashkenazi (Dodecad) @ 3.59
13 57.4% Hungarians (Behar) + 42.6% Ashkenazy_Jews (Behar) @ 3.59
14 79.1% Tuscan (Xing) + 20.9% Lithuanian (Dodecad) @ 3.61
15 78.3% Tuscan (Xing) + 21.7% Lithuanians (Behar) @ 3.61
16 75.3% Tuscan (Xing) + 24.7% Russian (HGDP) @ 3.65
17 68.9% Slovenian (Xing) + 31.1% Sicilian (Dodecad) @ 3.77
18 65.6% Slovenian (Xing) + 34.4% Greek (Dodecad) @ 3.79
19 64.6% C_Italian (Dodecad) + 35.4% Finnish (Dodecad) @ 3.84
20 55.5% S_Italian (Dodecad) + 44.5% FIN (1000Genomes) @ 3.86

FredBats
11-07-2016, 01:18 AM
From the genetic point of view there are, first of all, Northern and Southern Europeans.

This is the main "division", rather than Western/Eastern.

Then within Northern Europeans you can distinguish North-Eastern and North-Western.

And within Southern Europeans, you can also distinguish South-Western and Balkan.

Russians are pretty much North-Eastern Europeans, yes.

Thanks. Though the issue has already been dealt with previously. Nothing more than miscommunication.

kevinduffy
11-07-2016, 01:24 AM
This calculator is very Western-biased.

This is me (I'm Western Polish):

Admix Results (sorted):

# Population Percent
1 West_European 42.87
2 East_European 28.79
3 Mediterranean 18.88
4 West_Asian 8.71
5 South_Asian 0.41
6 Southwest_Asian 0.29
7 East_African 0.05

This is Eastern Pole from Kresy:

https://en.wikipedia.org/wiki/Kresy

Admix Results (sorted):

# Population Percent
1 West_European 39.91
2 East_European 36.54
3 Mediterranean 15.78
4 West_Asian 5.16
5 Southwest_Asian 1.67
6 Southeast_Asian 0.67
7 Northeast_Asian 0.21
8 South_Asian 0.05

===============

So I don't know where exactly does "Eastern Europe" start according to this calculator ???

Maybe someone from the Ural would score 45% East Europe... and 35% West Europe? :biggrin1:

Just because someone comes from Eastern Europe doesn't mean they can't have Western European ancestry. And vice versa. There has been gene flow between western and eastern Europe for a very long time.

kevinduffy
11-07-2016, 01:27 AM
Admix Results (sorted):

# Population Percent
1 Mediterranean 27.46
2 West_European 26.11
3 West_Asian 20.20
4 East_European 13.43
5 Southwest_Asian 6.31
6 Northeast_Asian 3.05
7 Southeast_Asian 2.37


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Romanians_14 @ 13.640671
2 Tuscan @ 13.848379
3 Ashkenazy_Jews @ 14.435120
4 Tuscan @ 14.933278
5 TSI @ 15.154315
6 Ashkenazi @ 16.361935
7 Balkans @ 17.514614
8 O_Italian @ 18.471294
9 Slovenian @ 20.568363
10 C_Italian @ 21.039499
11 Hungarians @ 21.628323
12 Greek @ 21.777884
13 N_Italian @ 22.226318
14 Tuscan @ 23.077087
15 Morocco_Jews @ 23.106056
16 S_Italian_Sicilian @ 23.968016
17 Stalskoe @ 24.285656
18 Sicilian @ 25.580950
19 S_Italian @ 27.111544
20 North_Italian @ 27.300959

Using 2 populations approximation:
1 50% Cypriots +50% FIN @ 5.789934


Using 3 populations approximation:
1 50% C_Italian +25% Finnish +25% Stalskoe @ 3.109386


Using 4 populations approximation:
1 Ashkenazy_Jews + Finnish + North_Italian + Turks @ 1.804314
2 Ashkenazy_Jews + Finnish + Turkish + Tuscan @ 1.824089
3 Ashkenazi + Finnish + North_Italian + Turks @ 1.854655
4 Ashkenazi + Finnish + N_Italian + Turks @ 1.947446
5 Finnish + Sephardic_Jews + Tuscan + Stalskoe @ 1.999625
6 C_Italian + Finnish + Turkish + Tuscan @ 2.001350
7 C_Italian + Finnish + Turks + Tuscan @ 2.073280
8 Ashkenazi + Finnish + N_Italian + Turkish @ 2.087702
9 Ashkenazi + Finnish + Turkish + Tuscan @ 2.103745
10 C_Italian + Finnish + Sicilian + Stalskoe @ 2.108786
11 C_Italian + Finnish + Turkish + Tuscan @ 2.136323
12 Assyrian + Chuvashs_16 + French + Tuscan @ 2.173797
13 C_Italian + Finnish + Turks + Tuscan @ 2.175209
14 Ashkenazy_Jews + Finnish + N_Italian + Turks @ 2.176568
15 Chuvashs_16 + Cypriots + Irish + S_Italian @ 2.235047
16 Assyrian + Chuvashs_16 + French + Tuscan @ 2.238436
17 Cypriots + Finnish + North_Italian + Stalskoe @ 2.263971
18 C_Italian + Finnish + TSI + Turkish @ 2.263996
19 Ashkenazy_Jews + Finnish + O_Italian + Turkish @ 2.267557
20 Assyrian + Chuvashs_16 + French + North_Italian @ 2.275190


12467 12468 12469

Do you have any non-Turkish ancestry that might help to explain these results?

PureEvil
11-07-2016, 01:28 AM
My Results:
West_European 51.75
Mediterranean 25.1
East_European 10.87
West_Asian 7.79
Northwest_African 1.93
South_Asian 1.34
Southwest_Asian 0.77
Palaeo_African 0.25
Neo_African 0.14
Northeast_Asian 0.06

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 2.74
2 N._European (Xing) 3.65
3 Argyll (1000 Genomes) 4.18
4 Orcadian (HGDP) 4.51
5 Orkney (1000 Genomes) 4.73
6 German (Dodecad) 6.62
7 Mixed_Germanic (Dodecad) 9.62
8 French (HGDP) 10.38
9 French (Dodecad) 10.67
10 Dutch (Dodecad) 10.71
11 Kent (1000 Genomes) 12.84
12 British_Isles (Dodecad) 14.53
13 British (Dodecad) 14.69
14 Slovenian (Xing) 15.22
15 Cornwall (1000 Genomes) 15.3
16 Swedish (Dodecad) 17.08
17 Irish (Dodecad) 17.44
18 Norwegian (Dodecad) 18.04
19 Hungarians (Behar) 19.42
20 French_Basque (HGDP) 21.75

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 97.2% CEU (HapMap) + 2.8% Mozabite (HGDP) @ 1.3
2 93% Argyll (1000 Genomes) + 7% North_African (Dodecad) @ 1.39
3 96% CEU (HapMap) + 4% TUNISIA (Henn) @ 1.45
4 96.3% CEU (HapMap) + 3.7% Moroccans (Behar) @ 1.47
5 95.4% CEU (HapMap) + 4.6% Morocco_N (Henn) @ 1.47
6 95.8% CEU (HapMap) + 4.2% North_African (Dodecad) @ 1.5
7 95.6% CEU (HapMap) + 4.4% Algeria (Henn) @ 1.53
8 96.3% CEU (HapMap) + 3.7% Sahara_OCC (Henn) @ 1.53
9 93.5% Argyll (1000 Genomes) + 6.5% TUNISIA (Henn) @ 1.57
10 92.6% Orcadian (HGDP) + 7.4% North_African (Dodecad) @ 1.6
11 92.6% Argyll (1000 Genomes) + 7.4% Morocco_N (Henn) @ 1.61
12 96.3% CEU (HapMap) + 3.7% Morocco_S (Henn) @ 1.64
13 96.5% CEU (HapMap) + 3.5% Bnei_Menashe_Jews (Behar) @ 1.7
14 96.4% CEU (HapMap) + 3.6% Makrani (HGDP) @ 1.7
15 96.4% CEU (HapMap) + 3.6% Balochi (HGDP) @ 1.71
16 96.4% CEU (HapMap) + 3.6% Brahui (HGDP) @ 1.72
17 92% Orcadian (HGDP) + 8% Morocco_N (Henn) @ 1.73
18 96.1% CEU (HapMap) + 3.9% Libya (Henn) @ 1.75
19 92.3% Orkney (1000 Genomes) + 7.7% North_African (Dodecad) @ 1.76
20 96.3% CEU (HapMap) + 3.7% Pathan (HGDP) @ 1.77
That Northwest African though, I actually get North African on 23andMe, DNALand, and other calculators now that I actually have thought about it...

kevinduffy
11-07-2016, 01:35 AM
That's unusual but interesting. All my family are 100% Irish. Your West European is really high. Also on Dodecad V3 we are all distant to Irish as it comes in at 16 and 17 so it doesn't appear to be all that accurate for my family anyway. We are all born in Ireland with all Irish born family going back as far as late 1700s as that is as far as I've been able to trace by paper-trail. My daughter was not born in Ireland but is of all Irish ancestry as well.

Mine

Population
East_European 12.84
West_European 55.75
Mediterranean 22.70
Neo_African -
West_Asian 7.79
South_Asian 0.15
Northeast_Asian 0.33
Southeast_Asian -
East_African -
Southwest_Asian 0.44
Northwest_African -
Palaeo_African -

Least-squares method.

Using 1 population approximation:
1 Argyll @ 1.570250
2 Orkney @ 2.823640
3 Orcadian @ 2.876477
4 N._European @ 3.216774
5 CEU @ 3.936560
6 German @ 5.403244
7 Mixed_Germanic @ 8.660667
8 Dutch @ 10.131947
9 Kent @ 12.218744
10 British_Isles @ 13.739274
11 British @ 14.188494
12 Swedish @ 14.228313
13 French @ 14.858309
14 Cornwall @ 14.961836
15 French @ 15.224509
16 Norwegian @ 15.717998
17 Irish @ 16.710432
18 Slovenian @ 18.720474
19 Hungarians @ 23.325674
20 FIN @ 24.165121

Using 2 populations approximation:
1 50% Argyll +50% Argyll @ 1.570250


Using 3 populations approximation:
1 50% German +25% Mixed_Germanic +25% Orcadian @ 0.880220


Using 4 populations approximation:
1 German + German + Mixed_Germanic + Orcadian @ 0.880220
2 German + German + Mixed_Germanic + Argyll @ 0.887177
3 German + German + Mixed_Germanic + Orkney @ 0.896190
4 Dutch + German + German + Argyll @ 1.087378
5 German + Argyll + Argyll + Argyll @ 1.119728
6 German + German + Kent + Argyll @ 1.162126
7 German + Orkney + Argyll + Argyll @ 1.176629
8 German + Hungarians + Irish + Kent @ 1.236427
9 German + Orcadian + Argyll + Argyll @ 1.245063
10 CEU + Hungarians + Kent + Norwegian @ 1.303219
11 British_Isles + British_Isles + German + Hungarians @ 1.324639
12 Dutch + German + German + Orcadian @ 1.326830
13 CEU + German + German + Mixed_Germanic @ 1.332659
14 German + Orkney + Orkney + Argyll @ 1.348879
15 Hungarians + Mixed_Germanic + Norwegian + Orcadian @ 1.350129
16 Dutch + German + German + Orkney @ 1.363977
17 British_Isles + German + Hungarians + Irish @ 1.366527
18 Dutch + Hungarians + Norwegian + Orcadian @ 1.404119
19 Hungarians + Mixed_Germanic + Norwegian + Orkney @ 1.404485
20 German + Orcadian + Orkney + Argyll @ 1.404889

Mother

Population
East_European 11.67
West_European 54.55
Mediterranean 24.30
Neo_African -
West_Asian 7.98
South_Asian 1.43
Northeast_Asian -
Southeast_Asian -
East_African -
Southwest_Asian 0.06
Northwest_African -
Palaeo_African -

Least-squares method.

Using 1 population approximation:
1 Argyll @ 1.535461
2 CEU @ 2.164015
3 Orcadian @ 2.273614
4 Orkney @ 2.475574
5 N._European @ 2.935289
6 German @ 6.424292
7 Mixed_Germanic @ 8.854604
8 Dutch @ 10.073667
9 Kent @ 12.334026
10 French @ 12.772262
11 French @ 13.165826
12 British_Isles @ 14.107820
13 British @ 14.416919
14 Cornwall @ 15.137771
15 Swedish @ 16.331881
16 Irish @ 17.275829
17 Norwegian @ 17.459055
18 Slovenian @ 18.404331
19 Hungarians @ 22.990721
20 French_Basque @ 25.110489

Using 2 populations approximation:
1 50% CEU +50% Argyll @ 1.170297


Using 3 populations approximation:
1 50% CEU +25% Argyll +25% Argyll @ 1.170297


Using 4 populations approximation:
1 CEU + Argyll + Argyll + Argyll @ 1.125148
2 CEU + CEU + Argyll + Argyll @ 1.170297
3 Dutch + Hungarians + Kent + Argyll @ 1.308211
4 CEU + Argyll + Argyll + N._European @ 1.332748
5 CEU + Orcadian + Argyll + Argyll @ 1.337553
6 Dutch + Hungarians + Kent + Orkney @ 1.349539
7 Dutch + Hungarians + Kent + Orcadian @ 1.353246
8 CEU + Orkney + Argyll + Argyll @ 1.377786
9 Cornwall + Orcadian + Orcadian + Slovenian @ 1.392163
10 Cornwall + Orcadian + Orkney + Slovenian @ 1.395744
11 Dutch + Dutch + Hungarians + Orkney @ 1.419875
12 British + Orcadian + Orcadian + Slovenian @ 1.422038
13 Hungarians + Kent + Kent + Argyll @ 1.428832
14 Cornwall + Orkney + Orkney + Slovenian @ 1.435692
15 Kent + Orcadian + Orkney + Slovenian @ 1.435860
16 British + Orcadian + Orkney + Slovenian @ 1.440885
17 Dutch + Dutch + Hungarians + Orcadian @ 1.441843
18 CEU + CEU + Orkney + Argyll @ 1.442227
19 Kent + Orkney + Orkney + Slovenian @ 1.444221
20 British_Isles + Orcadian + Orcadian + Slovenian @ 1.452193

Brother

Population
East_European 12.25
West_European 55.09
Mediterranean 24.03
Neo_African -
West_Asian 7.71
South_Asian 0.92
Northeast_Asian -
Southeast_Asian -
East_African -
Southwest_Asian -
Northwest_African -
Palaeo_African -

Least-squares method.

Using 1 population approximation:
1 Argyll @ 1.054911
2 Orcadian @ 1.956130
3 Orkney @ 2.136456
4 CEU @ 2.525381
5 N._European @ 3.108260
6 German @ 5.945963
7 Mixed_Germanic @ 8.871409
8 Dutch @ 10.090942
9 Kent @ 12.273680
10 French @ 13.404615
11 French @ 13.739767
12 British_Isles @ 13.966196
13 British @ 14.329733
14 Cornwall @ 15.083957
15 Swedish @ 15.656196
16 Norwegian @ 16.886833
17 Irish @ 17.100389
18 Slovenian @ 18.520096
19 Hungarians @ 23.055592
20 FIN @ 25.461868

Using 2 populations approximation:
1 50% Argyll +50% Argyll @ 1.054911


Using 3 populations approximation:
1 50% Argyll +25% Argyll +25% Argyll @ 1.054911


Using 4 populations approximation:
1 CEU + Argyll + Argyll + Argyll @ 0.952509
2 German + Orcadian + Orcadian + Argyll @ 1.022848
3 Argyll + Argyll + Argyll + Argyll @ 1.054911
4 German + Orcadian + Orkney + Argyll @ 1.086777
5 Orcadian + Argyll + Argyll + Argyll @ 1.090237
6 CEU + Orkney + Argyll + Argyll @ 1.105469
7 CEU + Orcadian + Argyll + Argyll @ 1.110820
8 German + Orcadian + Argyll + Argyll @ 1.128745
9 German + Orkney + Orkney + Argyll @ 1.138090
10 Orkney + Argyll + Argyll + Argyll @ 1.157486
11 German + Orcadian + Orcadian + Orcadian @ 1.163591
12 CEU + German + Orkney + Argyll @ 1.179251
13 German + Orkney + Argyll + Argyll @ 1.184273
14 British_Isles + Orcadian + Orkney + Slovenian @ 1.196290
15 CEU + German + Orcadian + Argyll @ 1.199906
16 British_Isles + Orcadian + Orcadian + Slovenian @ 1.203294
17 German + Orcadian + Orcadian + Orkney @ 1.212416
18 British_Isles + Orkney + Orkney + Slovenian @ 1.215992
19 CEU + German + Orkney + Orkney @ 1.238649
20 CEU + German + Orcadian + Orkney @ 1.251538


Daughter

Population
East_European 11.70
West_European 55.45
Mediterranean 24.75
Neo_African -
West_Asian 6.95
South_Asian -
Northeast_Asian -
Southeast_Asian 0.61
East_African 0.08
Southwest_Asian 0.46
Northwest_African -
Palaeo_African -

Least-squares method.

Using 1 population approximation:
1 Orcadian @ 1.158611
2 Orkney @ 1.492240
3 Argyll @ 1.893945
4 CEU @ 2.049995
5 N._European @ 3.298395
6 German @ 6.599926
7 Mixed_Germanic @ 8.575939
8 Dutch @ 9.525538
9 Kent @ 11.681218
10 French @ 12.569080
11 French @ 12.840936
12 British_Isles @ 13.396226
13 British @ 13.722836
14 Cornwall @ 14.498217
15 Swedish @ 15.742785
16 Irish @ 16.620523
17 Norwegian @ 16.730835
18 Slovenian @ 19.200811
19 Hungarians @ 23.664249
20 French_Basque @ 24.541822

Using 2 populations approximation:
1 50% CEU +50% Orkney @ 1.018040


Using 3 populations approximation:
1 50% CEU +25% Orkney +25% Orkney @ 1.018040


Using 4 populations approximation:
1 CEU + Orcadian + Orcadian + Orkney @ 0.903244
2 CEU + Orcadian + Orcadian + Orcadian @ 0.911846
3 CEU + Orcadian + Orcadian + Argyll @ 0.947716
4 CEU + Orkney + Orkney + Argyll @ 0.964075
5 CEU + Orcadian + Orkney + Argyll @ 0.969004
6 CEU + Orcadian + Orkney + Orkney @ 0.991058
7 CEU + CEU + Orkney + Orkney @ 1.018040
8 CEU + CEU + Orcadian + Orkney @ 1.038351
9 CEU + Orkney + Orkney + Orkney @ 1.056722
10 CEU + CEU + Orkney + Argyll @ 1.072176
11 CEU + CEU + Orcadian + Orcadian @ 1.075877
12 Orcadian + Orcadian + Orcadian + N._European @ 1.086355
13 CEU + CEU + Orcadian + Argyll @ 1.094131
14 CEU + Orcadian + Argyll + Argyll @ 1.132774
15 Orcadian + Orcadian + Orcadian + Argyll @ 1.148549
16 CEU + Orcadian + Orcadian + N._European @ 1.151967
17 Orcadian + Orcadian + Orcadian + Orcadian @ 1.158611
18 CEU + Orkney + Argyll + Argyll @ 1.178635
19 Orcadian + Orcadian + Orkney + Argyll @ 1.184440
20 CEU + Orcadian + Orkney + N._European @ 1.206748

I wonder if the Dodecad Irish samples came from the west of Ireland? If so, they might not be representative of people from other parts of the country.

Tomris
11-07-2016, 08:54 AM
Do you have any non-Turkish ancestry that might help to explain these results?

My grandfather was a Pomak.So I guess it made him a Slav.Others are Turks from Balkans as far as we know. (From Bulgaria and Greece) My fathers family is Gajal,so was my mothers grandmother. We're not sure what her husband was though. :D He was the most non-Turkish looking person of our family from what I've seen from the photos. :D he is my suspicion for the western&central europe results LOL Of course I might be wrong...
According to wikipedia Gajals are "closely related to the Gagauz" And again about Gagauzes from wikipedia: "According to a more detailed autosomal analysis of thousands of SNPs, not just of the sex chromosome, Gagauzes are most proximal to Macedonians, followed by Greek Macedonians apart from Thessaloniki, and others such as Bulgarians, Romanians and Montenegrins." and I see these all on gedmatch...

Afshar
11-07-2016, 10:45 AM
My grandfather was a Pomak.So I guess it made him a Slav.Others are all Turks from Balkans as far as we know. :) (From Bulgaria and Greece) My fathers family is Gajal,so was my mothers grandmother. We're not sure what her husband was though. :D He was the most non-Turkish looking person of our family from what I've seen from the photos. :D he is my suspicion for the western˘ral europe results haha also maybe jewish since his name was Ismail LOL Of course I might be wrong...
According to wikipedia Gajals are "closely related to the Gagauz" And again about Gagauzes from wikipedia: "According to a more detailed autosomal analysis of thousands of SNPs, not just of the sex chromosome, Gagauzes are most proximal to Macedonians, followed by Greek Macedonians apart from Thessaloniki, and others such as Bulgarians, Romanians and Montenegrins." and I see these all on gedmatch...

Would be nice if you did some ydna on your dad, are you planning to?

Jessie
11-07-2016, 12:23 PM
I wonder if the Dodecad Irish samples came from the west of Ireland? If so, they might not be representative of people from other parts of the country.

Well I'm half Western Irish as is my brother (well more Northwest). All my father's family were Sligo/North Roscommon literally forever. I'd have loved to have got my father tested but unfortunately he had passed on by the time I got interested in the subject. Brother's ydna is also M222. The Northwest Irish appear to have a Scottish pull which isn't too surprising.

Also my mother's side is solidly North Tipperary and she is distant to the Dodecad Irish sample as well. My daughter's paternal side is Wexford/Dublin so we kind of cover all the areas of Ireland except Ulster.

Aha
05-13-2017, 05:18 PM
That's an amusing calculator, showing me more western european than eastern european

Admix Results (sorted):

# Population Percent
1 West_European 39.27
2 East_European 31.51
3 Mediterranean 16.17
4 West_Asian 6.83
5 South_Asian 2.54
6 Southwest_Asian 1.77
7 Northeast_Asian 1.25

kevinduffy
05-14-2017, 05:12 PM
Admix Results (sorted):

# Population Percent
1 West_European 56.16
2 Mediterranean 23.48
3 East_European 10.31
4 West_Asian 7.28
5 Southwest_Asian 1.57
6 South_Asian 1.1
7 Northeast_Asian 0.11

Single Population Sharing:

# Population (source) Distance
1 Orkney (1000 Genomes) 1.71
2 Argyll (1000 Genomes) 1.93
3 Orcadian (HGDP) 2.01
4 N._European (Xing) 2.14
5 CEU (HapMap) 3.13
6 Mixed_Germanic (Dodecad) 6.11
7 German (Dodecad) 6.94
8 Dutch (Dodecad) 7.08
9 Kent (1000 Genomes) 9.15
10 British_Isles (Dodecad) 10.65
11 British (Dodecad) 10.93
12 Cornwall (1000 Genomes) 11.62
13 French (HGDP) 11.73
14 French (Dodecad) 12.16
15 Swedish (Dodecad) 13.14
16 Irish (Dodecad) 13.44
17 Norwegian (Dodecad) 13.79
18 Slovenian (Xing) 18.39
19 Hungarians (Behar) 22.64
20 French_Basque (HGDP) 22.95

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 67.5% British (Dodecad) + 32.5% Hungarians (Behar) @ 0.67
2 66.1% Cornwall (1000 Genomes) + 33.9% Hungarians (Behar) @ 0.85
3 68.1% British_Isles (Dodecad) + 31.9% Hungarians (Behar) @ 0.89
4 62.8% British (Dodecad) + 37.2% Slovenian (Xing) @ 0.98
5 76.4% Dutch (Dodecad) + 23.6% Hungarians (Behar) @ 1.01
6 63.4% British_Isles (Dodecad) + 36.6% Slovenian (Xing) @ 1.04
7 58.1% Orkney (1000 Genomes) + 41.9% N._European (Xing) @ 1.07
8 71.3% Kent (1000 Genomes) + 28.7% Hungarians (Behar) @ 1.08
9 98.4% Orkney (1000 Genomes) + 1.6% Saudis (Behar) @ 1.1
10 98.5% Orkney (1000 Genomes) + 1.5% Yemen_Jews (Behar) @ 1.17
11 68.7% Swedish (Dodecad) + 31.3% N_Italian (Dodecad) @ 1.19
12 83.7% N._European (Xing) + 16.3% Kent (1000 Genomes) @ 1.2
13 85.7% N._European (Xing) + 14.3% British_Isles (Dodecad) @ 1.21
14 82.6% CEU (HapMap) + 17.4% Norwegian (Dodecad) @ 1.22
15 66.9% Kent (1000 Genomes) + 33.1% Slovenian (Xing) @ 1.23
16 80% N._European (Xing) + 20% Dutch (Dodecad) @ 1.23
17 86.2% N._European (Xing) + 13.8% British (Dodecad) @ 1.24
18 50.5% German (Dodecad) + 49.5% Dutch (Dodecad) @ 1.26
19 71.3% Swedish (Dodecad) + 28.7% North_Italian (HGDP) @ 1.28
20 52.5% Orcadian (HGDP) + 47.5% N._European (Xing) @ 1.28

Oracle-4:

Least-squares method.

Using 1 population approximation:
1 Orkney @ 1.882519
2 Argyll @ 2.118993
3 Orcadian @ 2.208597
4 N._European @ 2.350782
5 CEU @ 3.449279
6 Mixed_Germanic @ 6.788626
7 German @ 7.659765
8 Dutch @ 7.840814
9 Kent @ 10.154426
10 British_Isles @ 11.825100
11 British @ 12.133173
12 Cornwall @ 12.895269
13 French @ 12.909986
14 French @ 13.392302
15 Swedish @ 14.561364
16 Irish @ 14.940061
17 Norwegian @ 15.327881
18 Slovenian @ 20.437874
19 Hungarians @ 25.129980
20 French_Basque @ 25.286068

Using 2 populations approximation:
1 50% Orkney +50% N._European @ 1.164928


Using 3 populations approximation:
1 50% British_Isles +25% CEU +25% Slovenian @ 0.801396


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++
1 CEU + Cornwall + Hungarians + Irish @ 0.688043
2 British + CEU + Hungarians + Irish @ 0.715238
3 British + CEU + German + N._European @ 0.715259
4 CEU + German + Kent + N._European @ 0.726045
5 Cornwall + French + Swedish + Slovenian @ 0.746009
6 British + Hungarians + Irish + N._European @ 0.748190
7 Dutch + German + Orkney + N._European @ 0.770880
8 British + French + Swedish + Slovenian @ 0.773059
9 Dutch + German + Orcadian + N._European @ 0.781475
10 CEU + Cornwall + German + N._European @ 0.784438
11 Cornwall + Hungarians + Irish + N._European @ 0.797261
12 British + Cornwall + Hungarians + N._European @ 0.800269
13 British_Isles + British_Isles + CEU + Slovenian @ 0.801396
14 British_Isles + CEU + German + N._European @ 0.801754
15 CEU + Dutch + Irish + Slovenian @ 0.808634
16 British + Dutch + Orkney + Slovenian @ 0.813743
17 British_Isles + French + Swedish + Slovenian @ 0.827910
18 British_Isles + Dutch + Orkney + Slovenian @ 0.831743
19 British_Isles + Cornwall + Hungarians + N._European @ 0.838268
20 Cornwall + Cornwall + Hungarians + N._European @ 0.842332

My nMonte results:

[1] "distance%=0.1337 / distance=0.001337"

KevinDuffy

Irish 22.60
Dutch 16.60
German 12.25
Kent 7.85
Swedish 7.75
French_Basque 4.60
Orcadian 4.40
N_Italian 3.60
French2 2.60
Lithuanian 2.45
Polish 2.45
Cornwall 2.35
Lithuanians 1.55
North_Italian 1.55
Belorussian 1.10
British_Isles 0.80
Orkney 0.80
Balkans 0.75
Kalash 0.50
Assyrian 0.40
Tuscan 0.40
GIH 0.35
Cypriots 0.25
Greek 0.25
Indian 0.25
Norwegian 0.25
Romanians_14 0.25
British 0.20
Lezgins 0.20
Hungarians 0.15
Brahui 0.10
Iraq_Jews 0.10
Urkarah 0.10
Azerbaijan_Jews 0.05
CEU 0.05
Iranian_Jews 0.05
Argyll 0.05

lukaszM
05-14-2017, 05:30 PM
Not very good for me. Hungarian is first.



Admix Results (sorted):

# Population Percent
1 West_European 38.11
2 East_European 34.38
3 Mediterranean 18.48
4 West_Asian 6.86
5 Southwest_Asian 0.98
6 South_Asian 0.94
7 Northwest_African 0.27

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 9.78
2 Polish (Dodecad) 10.24
3 Mixed_Slav (Dodecad) 10.62
4 Slovenian (Xing) 12.29
5 Russian (Dodecad) 16.23
6 Balkans (Dodecad) 18.41
7 Russian (HGDP) 20.21
8 Finnish (Dodecad) 20.26
9 FIN (1000Genomes) 20.62
10 German (Dodecad) 20.82
11 Belorussian (Behar) 21.81
12 Romanians_14 (Behar) 23.52
13 Lithuanians (Behar) 25.88
14 N._European (Xing) 26.16
15 CEU (HapMap) 26.21
16 Argyll (1000 Genomes) 26.36
17 Orcadian (HGDP) 27.24
18 Orkney (1000 Genomes) 27.39
19 Lithuanian (Dodecad) 28.43
20 Chuvashs_16 (Behar) 30.54

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 67.9% Slovenian (Xing) + 32.1% Lithuanians (Behar) @ 0.94
2 69.9% Slovenian (Xing) + 30.1% Lithuanian (Dodecad) @ 1.05
3 71.4% Mixed_Slav (Dodecad) + 28.6% CEU (HapMap) @ 1.75
4 71.4% Mixed_Slav (Dodecad) + 28.6% N._European (Xing) @ 1.91
5 54.7% Polish (Dodecad) + 45.3% Slovenian (Xing) @ 1.94
6 71.6% Mixed_Slav (Dodecad) + 28.4% Argyll (1000 Genomes) @ 2.04
7 72.3% Mixed_Slav (Dodecad) + 27.7% Orcadian (HGDP) @ 2.08
8 72.4% Mixed_Slav (Dodecad) + 27.6% Orkney (1000 Genomes) @ 2.14
9 66.6% Mixed_Slav (Dodecad) + 33.4% German (Dodecad) @ 2.18
10 76.3% Mixed_Slav (Dodecad) + 23.7% French (HGDP) @ 2.2
11 76% Mixed_Slav (Dodecad) + 24% Mixed_Germanic (Dodecad) @ 2.26
12 76.9% Mixed_Slav (Dodecad) + 23.1% Dutch (Dodecad) @ 2.31
13 53.8% Mixed_Slav (Dodecad) + 46.2% Slovenian (Xing) @ 2.39
14 77.9% Mixed_Slav (Dodecad) + 22.1% Kent (1000 Genomes) @ 2.54
15 79% Mixed_Slav (Dodecad) + 21% Cornwall (1000 Genomes) @ 2.7
16 54.6% Belorussian (Behar) + 45.4% N._European (Xing) @ 2.75
17 78.7% Mixed_Slav (Dodecad) + 21.3% British (Dodecad) @ 2.76
18 72.5% Polish (Dodecad) + 27.5% N._European (Xing) @ 2.81
19 78.6% Mixed_Slav (Dodecad) + 21.4% British_Isles (Dodecad) @ 2.86
20 73.3% Hungarians (Behar) + 26.7% Lithuanians (Behar) @ 2

Amerijoe
05-14-2017, 08:56 PM
Doesn't do much for me.

Dodecad V3 Oracle results:

Admix Results (sorted):

# Population Percent
1 West_European 53.67
2 Mediterranean 25.56
3 East_European 10.1
4 West_Asian 7.23
5 South_Asian 1.69
6 Southwest_Asian 1.44
7 Northeast_Asian 0.24
8 Neo_African 0.06

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 1.69
2 N._European (Xing) 2.92
3 Orcadian (HGDP) 2.99
4 Orkney (1000 Genomes) 3.19
5 Argyll (1000 Genomes) 3.27
6 German (Dodecad) 7.14
7 Mixed_Germanic (Dodecad) 8.15
8 Dutch (Dodecad) 8.87
9 French (HGDP) 9.63
10 French (Dodecad) 9.92
11 Kent (1000 Genomes) 11.02
12 British_Isles (Dodecad) 12.72
13 British (Dodecad) 12.87
14 Cornwall (1000 Genomes) 13.49
15 Irish (Dodecad) 15.67
16 Swedish (Dodecad) 16.03
17 Norwegian (Dodecad) 16.66
18 Slovenian (Xing) 16.94
19 French_Basque (HGDP) 21
20 Hungarians (Behar) 21.09

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 98.8% CEU (HapMap) + 1.2% Irula (Xing) @ 1.19
2 98.5% CEU (HapMap) + 1.5% Naidu (Reich) @ 1.21
3 98.7% CEU (HapMap) + 1.3% North_Kannadi (Behar) @ 1.21
4 98.6% CEU (HapMap) + 1.4% TN_Dalit (Xing) @ 1.22
5 94.2% Orkney (1000 Genomes) + 5.8% Sephardic_Jews (Behar) @ 1.22
6 98.6% CEU (HapMap) + 1.4% Kamsali (Reich) @ 1.23
7 98.5% CEU (HapMap) + 1.5% GIH (HapMap) @ 1.23
8 98.6% CEU (HapMap) + 1.4% AP_Mala (Xing) @ 1.23
9 98.6% CEU (HapMap) + 1.4% Madiga (Reich) @ 1.24
10 98.6% CEU (HapMap) + 1.4% Vysya (Reich) @ 1.24
11 98.5% CEU (HapMap) + 1.5% INS (SGVP) @ 1.24
12 98.6% CEU (HapMap) + 1.4% Mala (Reich) @ 1.25
13 98.4% CEU (HapMap) + 1.6% Indian (Dodecad) @ 1.25
14 98.6% CEU (HapMap) + 1.4% Bhil (Reich) @ 1.25
15 98.6% CEU (HapMap) + 1.4% Hallaki (Reich) @ 1.25
16 98.6% CEU (HapMap) + 1.4% AP_Madiga (Xing) @ 1.25
17 98.4% CEU (HapMap) + 1.6% AP_Brahmin (Xing) @ 1.26
18 98.5% CEU (HapMap) + 1.5% Velama (Reich) @ 1.26
19 98.5% CEU (HapMap) + 1.5% Lodi (Reich) @ 1.26
20 98.6% CEU (HapMap) + 1.4% Kurumba (Reich) @ 1.26

JerryS.
05-14-2017, 09:42 PM
Admix Results (sorted):


# Population Percent
1 West_European 50.72
2 Mediterranean 26.84
3 East_European 10.45
4 West_Asian 9.5
5 South_Asian 1
6 Northwest_African 0.93
7 East_African 0.56

the closest distance I can get with any calculating model from any admixture chart is this scale:

Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 84.9% Argyll (1000 Genomes) + 15.1% Tuscan (HGDP) @ 1.29
2 84.1% Argyll (1000 Genomes) + 15.9% O_Italian (Dodecad) @ 1.46
3 86.3% Argyll (1000 Genomes) + 13.7% C_Italian (Dodecad) @ 1.46
4 86.9% Orkney (1000 Genomes) + 13.1% Greek (Dodecad) @ 1.5
5 88.3% Argyll (1000 Genomes) + 11.7% Sicilian (Dodecad) @ 1.52
6 88.7% Argyll (1000 Genomes) + 11.3% S_Italian (Dodecad) @ 1.55
7 80.9% Argyll (1000 Genomes) + 19.1% N_Italian (Dodecad) @ 1.56
8 87.7% Orcadian (HGDP) + 12.3% Greek (Dodecad) @ 1.58
9 87.8% Orkney (1000 Genomes) + 12.2% S_Italian (Dodecad) @ 1.59
10 88.5% Orcadian (HGDP) + 11.5% S_Italian (Dodecad) @ 1.6
11 88.1% Orcadian (HGDP) + 11.9% Sicilian (Dodecad) @ 1.64
12 87.4% Orkney (1000 Genomes) + 12.6% Sicilian (Dodecad) @ 1.64
13 88% Argyll (1000 Genomes) + 12% S_Italian_Sicilian (Dodecad) @ 1.71
14 87.8% Orcadian (HGDP) + 12.2% S_Italian_Sicilian (Dodecad) @ 1.74
15 85.3% Orkney (1000 Genomes) + 14.7% C_Italian (Dodecad) @ 1.77
16 92.6% CEU (HapMap) + 7.4% S_Italian (Dodecad) @ 1.78
17 87% Orkney (1000 Genomes) + 13% S_Italian_Sicilian (Dodecad) @ 1.78
18 86.2% Orcadian (HGDP) + 13.8% C_Italian (Dodecad) @ 1.79
19 92.1% CEU (HapMap) + 7.9% Greek (Dodecad) @ 1.81
20 81.5% Argyll (1000 Genomes) + 18.5% TSI (HapMap) @ 1.83

lukaszM
05-15-2017, 09:36 AM
In this calculator there are in one list mixed big regions (CEU Europe, N. European) and very small (Kent, Orkney). Not good idea for me. Should be listed separately...

# Population (source) Distance
1 CEU (HapMap) 1.69
2 N._European (Xing) 2.92
3 Orcadian (HGDP) 2.99
4 Orkney (1000 Genomes) 3.19
5 Argyll (1000 Genomes) 3.27
6 German (Dodecad) 7.14
7 Mixed_Germanic (Dodecad) 8.15
8 Dutch (Dodecad) 8.87
9 French (HGDP) 9.63
10 French (Dodecad) 9.92
11 Kent (1000 Genomes) 11.02
12 British_Isles (Dodecad) 12.72

arikamryn
05-23-2017, 11:50 PM
# Population Percent
1 Neo_African 49.6
2 Palaeo_African 29.05
3 East_African 9.98
4 West_European 4.16
5 South_Asian 1.34
6 Southeast_Asian 1.34
7 Northeast_Asian 1.23
8 Northwest_African 1.11
9 West_Asian 0.85
10 East_European 0.79
11 Southwest_Asian 0.36
12 Mediterranean 0.19

JFWinstone
05-24-2017, 04:46 PM
Mine


Admix Results (sorted):

# Population Percent
1 West_European 40.05
2 Mediterranean 18.73
3 East_European 9.47
4 Southeast_Asian 9.04
5 West_Asian 7.08
6 Neo_African 4.23
7 South_Asian 3.81
8 Palaeo_African 3.11
9 Northeast_Asian 2.3
10 Northwest_African 2.07
11 Southwest_Asian 0.11

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 17.44
2 N._European (Xing) 17.92
3 German (Dodecad) 18.36
4 CEU (HapMap) 18.55
5 Argyll (1000 Genomes) 19.08
6 Orcadian (HGDP) 19.77
7 Orkney (1000 Genomes) 19.83
8 Hungarians (Behar) 20.63
9 French (HGDP) 21.96
10 French (Dodecad) 22.18
11 Mixed_Germanic (Dodecad) 22.5
12 Dutch (Dodecad) 23.73
13 Kent (1000 Genomes) 25.54
14 Tuscan (Xing) 25.69
15 Tuscan (Henn) 26.04
16 TSI (HapMap) 26.26
17 British_Isles (Dodecad) 26.79
18 British (Dodecad) 26.84
19 Swedish (Dodecad) 27.09
20 Portuguese (Dodecad) 27.16

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 73.1% CEU (HapMap) + 26.9% Uygur (HGDP) @ 8.39
2 72.3% CEU (HapMap) + 27.7% Hazara (HGDP) @ 8.42
3 70.7% Orkney (1000 Genomes) + 29.3% Hazara (HGDP) @ 8.61
4 70.8% Orcadian (HGDP) + 29.2% Hazara (HGDP) @ 8.63
5 73.3% N._European (Xing) + 26.7% Hazara (HGDP) @ 8.64
6 74.2% N._European (Xing) + 25.8% Uygur (HGDP) @ 8.76
7 71.7% Orcadian (HGDP) + 28.3% Uygur (HGDP) @ 8.78
8 71.7% Orkney (1000 Genomes) + 28.3% Uygur (HGDP) @ 8.78
9 71.8% Argyll (1000 Genomes) + 28.2% Hazara (HGDP) @ 8.81
10 83.5% N._European (Xing) + 16.5% Thai (Xing) @ 8.99
11 72.8% Argyll (1000 Genomes) + 27.2% Uygur (HGDP) @ 9.02
12 82.9% CEU (HapMap) + 17.1% Thai (Xing) @ 9.14
13 84% N._European (Xing) + 16% Nysha (Reich) @ 9.16
14 83.6% N._European (Xing) + 16.4% Tu (HGDP) @ 9.17
15 84.7% N._European (Xing) + 15.3% Khmer_Cambodian (Xing) @ 9.32
16 83.5% CEU (HapMap) + 16.5% Nysha (Reich) @ 9.33
17 73.1% German (Dodecad) + 26.9% Hazara (HGDP) @ 9.33
18 83.1% CEU (HapMap) + 16.9% Tu (HGDP) @ 9.35
19 83.3% N._European (Xing) + 16.7% Xibo (HGDP) @ 9.39
20 84.5% N._European (Xing) + 15.5% Aonaga (Reich) @ 9.4

Least-squares method.

Using 1 population approximation:
1 Slovenian @ 17.876966
2 N._European @ 18.526602
3 German @ 18.921116
4 CEU @ 19.224207
5 Argyll @ 19.847754
6 Orcadian @ 20.668297
7 Orkney @ 20.742451
8 Hungarians @ 21.537897
9 French @ 23.095621
10 French @ 23.339378
11 Mixed_Germanic @ 23.896473
12 Dutch @ 25.317780
13 Kent @ 27.414032
14 Tuscan @ 27.595631
15 Tuscan @ 27.899965
16 TSI @ 28.186926
17 British_Isles @ 28.881376
18 British @ 28.943756
19 Portuguese @ 29.089962
20 Swedish @ 29.258009

Using 2 populations approximation:
1 50% British_Isles +50% Hazara @ 14.327482


Using 3 populations approximation:
1 50% German +25% Portuguese +25% Uygur @ 7.741524


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +
1 German + Portuguese + Swedish + Uygur @ 6.905515
2 Norwegian + Portuguese + Uygur + Slovenian @ 7.127363
3 German + Norwegian + Portuguese + Uygur @ 7.135180
4 Portuguese + Swedish + Uygur + N._European @ 7.192215
5 German + Hazara + Portuguese + Swedish @ 7.213391
6 Dutch + FIN + Portuguese + Uygur @ 7.214777
7 CEU + Portuguese + Swedish + Uygur @ 7.256320
8 Portuguese + Swedish + Uygur + Argyll @ 7.258063
9 FIN + Kent + Portuguese + Uygur @ 7.287764
10 FIN + Mixed_Germanic + Portuguese + Uygur @ 7.291073
11 Portuguese + Swedish + Uygur + Slovenian @ 7.314753
12 British + FIN + Portuguese + Uygur @ 7.330184
13 Orkney + Portuguese + Swedish + Uygur @ 7.345720
14 Orcadian + Portuguese + Swedish + Uygur @ 7.360205
15 German + IBS + Swedish + Uygur @ 7.360969
16 Cornwall + FIN + Portuguese + Uygur @ 7.364595
17 British_Isles + FIN + Portuguese + Uygur @ 7.369711
18 FIN + Hazara + Mixed_Germanic + Portuguese @ 7.386467
19 German + Spanish + Swedish + Uygur @ 7.408636
20 Dutch + FIN + Hazara + Portuguese @ 7.411644


Mum


Admix Results (sorted):

# Population Percent
1 West_European 26.27
2 Southeast_Asian 19.25
3 Mediterranean 11.38
4 Neo_African 9.65
5 South_Asian 8.3
6 East_European 7.11
7 Palaeo_African 6.27
8 West_Asian 4.72
9 Northeast_Asian 3.21
10 Northwest_African 2.67
11 East_African 1.17

Single Population Sharing:

# Population (source) Distance
1 Uzbeks (Behar) 32.52
2 Hazara (HGDP) 32.8
3 Slovenian (Xing) 33.81
4 Uygur (HGDP) 34.26
5 Hungarians (Behar) 35.2
6 Nepalese (Xing) 36.45
7 Romanians_14 (Behar) 37.32
8 Tuscan (Xing) 37.43
9 Balkans (Dodecad) 37.46
10 N._European (Xing) 37.65
11 Stalskoe (Xing) 37.71
12 German (Dodecad) 37.71
13 Tuscan (Henn) 38.09
14 Ashkenazy_Jews (Behar) 38.1
15 CEU (HapMap) 38.42
16 TSI (HapMap) 38.42
17 Argyll (1000 Genomes) 38.87
18 Ashkenazi (Dodecad) 39.48
19 Orcadian (HGDP) 39.54
20 Algeria (Henn) 39.55

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 67.9% Slovenian (Xing) + 32.1% Thai (Xing) @ 17.55
2 70.4% Slovenian (Xing) + 29.6% Khmer_Cambodian (Xing) @ 18.03
3 64.9% N._European (Xing) + 35.1% Thai (Xing) @ 18.14
4 64.9% German (Dodecad) + 35.1% Thai (Xing) @ 18.25
5 64.4% CEU (HapMap) + 35.6% Thai (Xing) @ 18.43
6 64.1% Argyll (1000 Genomes) + 35.9% Thai (Xing) @ 18.59
7 69.5% Slovenian (Xing) + 30.5% Nysha (Reich) @ 18.64
8 71.1% Slovenian (Xing) + 28.9% Cambodians (HGDP) @ 18.68
9 72% Slovenian (Xing) + 28% MAS (SGVP) @ 18.82
10 70.5% Slovenian (Xing) + 29.5% Aonaga (Reich) @ 18.96
11 63.7% Orcadian (HGDP) + 36.3% Thai (Xing) @ 18.98
12 63.7% Orkney (1000 Genomes) + 36.3% Thai (Xing) @ 18.99
13 67.6% N._European (Xing) + 32.4% Khmer_Cambodian (Xing) @ 19
14 67.5% German (Dodecad) + 32.5% Khmer_Cambodian (Xing) @ 19
15 68.9% Slovenian (Xing) + 31.1% Tu (HGDP) @ 19.04
16 72.5% Slovenian (Xing) + 27.5% Vietnamese (Xing) @ 19.1
17 71.8% Slovenian (Xing) + 28.2% Naxi (HGDP) @ 19.17
18 67.3% Hungarians (Behar) + 32.7% Thai (Xing) @ 19.18
19 72% Slovenian (Xing) + 28% Yizu (HGDP) @ 19.2
20 66.4% N._European (Xing) + 33.6% Nysha (Reich) @ 19.23

Least-squares method.

Using 1 population approximation:
1 Hazara @ 32.639862
2 Uzbeks @ 33.379341
3 Slovenian @ 34.010929
4 Uygur @ 34.251823
5 Hungarians @ 35.546680
6 Romanians_14 @ 38.180420
7 Balkans @ 38.264565
8 Tuscan @ 38.354324
9 Nepalese @ 38.655312
10 German @ 38.682209
11 Kyrgyzstani @ 38.715385
12 N._European @ 38.731201
13 Tuscan @ 39.040596
14 TSI @ 39.468773
15 Ashkenazy_Jews @ 39.499126
16 CEU @ 39.591042
17 Argyll @ 40.120029
18 Stalskoe @ 40.283417
19 Orcadian @ 40.918602
20 Orkney @ 40.945667

Using 2 populations approximation:
1 50% Hazara +50% N._European @ 18.178377


Using 3 populations approximation:
1 50% N._European +25% Thai +25% Siddi @ 3.978512


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++
1 British + Slovenian + Thai + Siddi @ 3.744421
2 British_Isles + Slovenian + Thai + Siddi @ 3.751964
3 Kent + Slovenian + Thai + Siddi @ 3.791833
4 Cornwall + Slovenian + Thai + Siddi @ 3.801795
5 Hungarians + Irish + Khmer_Cambodian + Siddi @ 3.832277
6 British_Isles + Khmer_Cambodian + Slovenian + Siddi @ 3.839290
7 Hungarians + Irish + Thai + Siddi @ 3.846614
8 British + Khmer_Cambodian + Slovenian + Siddi @ 3.856575
9 Irish + Slovenian + Thai + Siddi @ 3.872930
10 German + Khmer_Cambodian + N._European + Siddi @ 3.882721
11 Dutch + Slovenian + Thai + Siddi @ 3.887241
12 Kent + Khmer_Cambodian + Slovenian + Siddi @ 3.906835
13 German + N._European + Thai + Siddi @ 3.914218
14 German + Argyll + Khmer_Cambodian + Siddi @ 3.916524
15 Cornwall + Hungarians + Thai + Siddi @ 3.920411
16 Irish + Khmer_Cambodian + Slovenian + Siddi @ 3.925012
17 Cornwall + Khmer_Cambodian + Slovenian + Siddi @ 3.942888
18 British + Hungarians + Thai + Siddi @ 3.943006
19 N._European + N._European + Thai + Siddi @ 3.978512
20 British_Isles + Hungarians + Thai + Siddi @ 3.982447

Magnetic
05-25-2017, 02:06 AM
# Population Percent

1 West_Asian 39.62
2 Mediterranean 23.68
3 Southwest_Asian 14.98
4 South_Asian 8.57
5 West_European 8.03
6 East_European 1.74
7 Southeast_Asian 1.38
8 Northeast_Asian 1.05
9 Neo_African 0.91
10 East_African 0.02

Single Population Sharing:

# Population (source) Distance

1 Uzbekistan_Jews (Behar) 3.84
2 Kurd (Xing) 4.42
3 Kurd (Dodecad) 5.42
4 Azerbaijan_Jews (Behar) 7.13
5 Iranian_Jews (Behar) 8.31
6 Georgia_Jews (Behar) 8.84
7 Turkish (Dodecad) 10.25
8 Iranians (Behar) 10.28
9 Iraq_Jews (Behar) 10.38
10 Turks (Behar) 11.34
11 Iranian (Dodecad) 12.13
12 Druze (HGDP) 12.59
13 Assyrian (Dodecad) 14.07
14 Lebanese (Behar) 14.92
15 Syrians (Behar) 15.38
16 Armenian (Dodecad) 16.11
17 Palestinian (HGDP) 16.58
18 Samaritians (Behar) 16.79
19 Jordanians_19 (Behar) 18.93
20 Stalskoe (Xing) 18.95

Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance

1 71.7% Iranians (Behar) + 28.3% S_Italian_Sicilian (Dodecad) @ 1.9
2 72.3% Iranians (Behar) + 27.7% S_Italian (Dodecad) @ 2.2
3 74.5% Iranians (Behar) + 25.5% C_Italian (Dodecad) @ 2.3
4 73.3% Iranians (Behar) + 26.7% Sicilian (Dodecad) @ 2.3
5 83.7% Kurd (Dodecad) + 16.3% Sephardic_Jews (Behar) @ 2.62
6 78.2% Iranians (Behar) + 21.8% Tuscan (HGDP) @ 2.71
7 86% Azerbaijan_Jews (Behar) + 14% Burusho (HGDP) @ 2.73
8 82.9% Iranians (Behar) + 17.1% Sardinian (HGDP) @ 2.83
9 93.4% Kurd (Xing) + 6.6% Sardinian (HGDP) @ 2.85
10 84.6% Azerbaijan_Jews (Behar) + 15.4% Pathan (HGDP) @ 2.9
11 84.8% Kurd (Dodecad) + 15.2% S_Italian_Sicilian (Dodecad) @ 2.91
12 85.1% Kurd (Dodecad) + 14.9% S_Italian (Dodecad) @ 2.92
13 94% Kurd (Xing) + 6% Spaniards (Behar) @ 2.95
14 94% Kurd (Xing) + 6% Spanish (Dodecad) @ 2.98
15 93.9% Kurd (Xing) + 6.1% IBS (1000Genomes) @ 2.98
16 65.3% Uzbekistan_Jews (Behar) + 34.7% Kurd (Dodecad) @ 3
17 90.7% Kurd (Xing) + 9.3% O_Italian (Dodecad) @ 3
18 71.2% Iranians (Behar) + 28.8% Sephardic_Jews (Behar) @ 3
19 94.7% Kurd (Xing) + 5.3% French_Basque (HGDP) @ 3.01
20 86.5% Kurd (Xing) + 13.5% Ashkenazi (Dodecad) @ 3.01

https://img.clipartfox.com/939aa9a607903d5cd700be005d1a9195_jerusalem-wall-vector-realistic-clipart-jewish-man_1300-1300.jpeg

curiousII
10-25-2017, 06:35 AM
Old thread, hope I'm not "necro-bumping" or whatever thread revival is called here. I found a couple of these GEDMatch calculator threads in the Autosomal Result forum, figured I'd see what they'd say.

I had my Big Y results come in for a time, then they disappeared only to return for a day or two. Now I'm supposed to get them back freshly revived and rejuvenated at the end of the month. But I did get to look at my results long enough to see my haplogroup is unchanged.

I suppose we all have reasons for doing our genetic tests, adoptees' and orphans' drives and curiosity probably more understandable than others. My curiosity comes from, in part, my father's side of the family. After i reached majority age I found out from my father's family we're supposed to be part Native Americans from Canada. News to me, I never heard that growing up but in retrospect does explain a couple of things. And, not only Native American in name, but Grandfather was supposed to have been born in a teepee and had been passed around the teepees during his youth. Also a new story, one that I can't verify with my parents as I only heard about it after they both passed on.

So, when comparing Grandpa Teepee's story with my upbringing, I decided to take these tests and I am quite pleased with FTDNA's extensive haplogroup and autosomal tests. I have backed some of my SNP tests up with YSEQ, and I'm secure with my Z2573. I am also secure in my knowledge that no, not only am I not Native American, but neither was Grandfather Wigwam. Hence, if the Canadian teepee story is true then it was a baby Z2573 from a) France, b) Spain, or c) somewhere in the UK who was born and the quaint little Indian tale about tribal unity takes a darker turn. Whichever tribe it was Grandfather Sweatlodge was with, they had to have known he wasn't Native American. How he ended up in that predicament I'll probably never know as my family doesn't seem too excited about sharing his story with me, so, even though I'm not an orphan, these DNA tests seem to be the only way for me to find answers for who and why I am.

And no, I'm not being facetious in this post. If my test results came back definitively that I'm Native American, if I had haplogroup D, C, or maybe X results, or a high enough Native American percentage in my Family Finder to prove conclusively that I have recent Indian heritage, then there it is. I can live with that as it seems that's how I've been perceived as being so far in my life anyway. But that's not what my test results show.

Grandfather's photo is in my Albums; he's the one with the mustache. I really wish I knew who he was as he just grew exponentially both in physical and moral stature. I'll never know how he ended up where he was, but we read stories about things like that from time-to-time.

We read on the Web about people finding out they're not black, they're not African American even though they have copies of every Soul Train ever televised. I've just had my revelation.

Dodecad V3 (dv3)

Population

East European 17.07
West European 48.17
Mediterranean 25.66
Neo-African -
West Asian 6.18
South Asian -
Northeast Asian 0.75
Southeast Asian -
East African 0.06
Southwest Asian 1.30
Northwest African 0.82
Palaeo_African -

Condensed:

East European 17.07
West European 48.17
Mediterranean 25.66
West Asian 6.18
Northeast Asian 0.75
East African 0.06
Southwest Asian 1.30
Northwest African 0.82

pvlawyer
10-25-2017, 11:10 AM
Oral history is Sephardic, French-Basque and French, Slovenian result is confusing.

Population Percent
1 West_European 25.08
2 Mediterranean 18.23
3 Northeast_Asian 16.04
4 West_Asian 8.16
5 Southeast_Asian 7.08
6 East_European 7.03
7 Neo_African 6.91
8 South_Asian 4.4
9 Palaeo_African 2.75
10 East_African 2.33
11 Northwest_African 1.17
12 Southwest_Asian 0.83

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 28.84
2 Tuscan (Xing) 29.43
3 Romanians_14 (Behar) 29.98
4 Hungarians (Behar) 30.07
5 Tuscan (Henn) 30.22
6 Ashkenazy_Jews (Behar) 30.37
7 Uzbeks (Behar) 30.41
8 TSI (HapMap) 30.53
9 Balkans (Dodecad) 31.09
10 Ashkenazi (Dodecad) 31.65
11 Stalskoe (Xing) 32.01
12 O_Italian (Dodecad) 32.62
13 Hazara (HGDP) 32.69
14 N_Italian (Dodecad) 33.61
15 N._European (Xing) 33.93
16 German (Dodecad) 34.17
17 CEU (HapMap) 34.37
18 Morocco_Jews (Behar) 34.73
19 Portuguese (Dodecad) 34.83
20 Argyll (1000 Genomes) 35.12

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 61.9% Tuscan (Henn) + 38.1% Selkup (Rasmussen) 13.54
2 61.6% TSI (HapMap) + 38.4% Selkup (Rasmussen) 13.58
3 61.8% Tuscan (Xing) + 38.2% Yukagir (Rasmussen) 13.62
4 64.2% Tuscan (Henn) + 35.8% Dolgan (Rasmussen) 13.76
5 63.9% TSI (HapMap) + 36.1% Dolgan (Rasmussen) 13.83
6 60.3% Tuscan (Henn) + 39.7% Altai (Rasmussen) 13.88
7 61.1% Tuscan (Henn) + 38.9% Yukagir (Rasmussen) 13.9
8 60.8% TSI (HapMap) + 39.2% Yukagir (Rasmussen) 13.93
9 70.3% Slovenian (Xing) + 29.7% Yakut (HGDP) 13.97
10 60% TSI (HapMap) + 40% Altai (Rasmussen) 13.99
11 57.2% N_Italian (Dodecad) + 42.8% Altai (Rasmussen) 14.14
12 56.1% Portuguese (Dodecad) + 43.9% Altai (Rasmussen) 14.16
13 72.1% Slovenian (Xing) + 27.9% Evenk_15 (Rasmussen) 14.17
14 54.2% Uzbeks (Behar) + 45.8% Portuguese (Dodecad) 14.29
15 65.7% Slovenian (Xing) + 34.3% Dolgan (Rasmussen) 14.32
16 55.7% French (HGDP) + 44.3% Altai (Rasmussen) 14.35
17 59.8% O_Italian (Dodecad) + 40.2% Selkup (Rasmussen) 14.4
18 59.5% Uzbeks (Behar) + 40.5% French_Basque (HGDP) 14.48
19 68.9% Slovenian (Xing) + 31.1% Buryat (Rasmussen) 14.49
20 66.6% Tuscan (Xing) + 33.4% Tuva (Rasmussen) 14.5

pvlawyer
10-25-2017, 11:14 AM
CuriousII, try running MDLP World 22 in gedmatch for possible Native American results. Let us know! :)

rayvs
10-25-2017, 11:30 AM
Nothing wrong with Soul Train after watching tons of Saturday morning cartoons. here is mine

dmix Results (sorted):

# Population Percent
1 Southeast_Asian 76.48
2 Northeast_Asian 10.7
3 South_Asian 4.48
4 West_European 2.81
5 Mediterranean 2
6 Southwest_Asian 1.58
7 Neo_African 1.14
8 East_African 0.74
9 Palaeo_African 0.07

Single Population Sharing:

# Population (source) Distance
1 Vietnamese (Xing) 9.08
2 Khmer_Cambodian (Xing) 9.09
3 Naxi (HGDP) 9.68
4 Yizu (HGDP) 9.94
5 Chinese (Dodecad) 10.84
6 Han (HGDP) 10.91
7 Cambodians (HGDP) 11.25
8 JPT (HapMap) 11.28
9 She (HGDP) 11.53
10 Tujia (HGDP) 11.64
11 CHB (HapMap) 11.79
12 Nysha (Reich) 13.17
13 Aonaga (Reich) 13.21
14 Miaozu (HGDP) 13.75
15 Thai (Xing) 13.79
16 CHD (HapMap) 13.83
17 MAS (SGVP) 14.06
18 Tu (HGDP) 14.28
19 CHS (SGVP) 15.39
20 Japanese (HGDP) 15.9

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 87% Vietnamese (Xing) + 13% Hazara (HGDP) @ 3.33
2 91.7% Vietnamese (Xing) + 8.3% Tuscan (Henn) @ 3.49
3 91.8% Vietnamese (Xing) + 8.2% TSI (HapMap) @ 3.53
4 91.4% Vietnamese (Xing) + 8.6% Algeria (Henn) @ 3.57
5 91.5% Vietnamese (Xing) + 8.5% Ashkenazy_Jews (Behar) @ 3.58
6 91.4% Vietnamese (Xing) + 8.6% Libya (Henn) @ 3.58
7 92% Vietnamese (Xing) + 8% Portuguese (Dodecad) @ 3.59
8 81.2% Iban (Xing) + 18.8% Yukagir (Rasmussen) @ 3.62
9 91.6% Vietnamese (Xing) + 8.4% Ashkenazi (Dodecad) @ 3.64
10 71.7% Iban (Xing) + 28.3% Mongol (Rasmussen) @ 3.66
11 92.2% Vietnamese (Xing) + 7.8% French (HGDP) @ 3.66
12 91.9% Vietnamese (Xing) + 8.1% O_Italian (Dodecad) @ 3.67
13 91.6% Vietnamese (Xing) + 8.4% Morocco_N (Henn) @ 3.68
14 91.7% Vietnamese (Xing) + 8.3% Morocco_Jews (Behar) @ 3.69
15 86.8% CHD (HapMap) + 13.2% Bnei_Menashe_Jews (Behar) @ 3.7
16 92% Vietnamese (Xing) + 8% N_Italian (Dodecad) @ 3.72
17 92.2% Vietnamese (Xing) + 7.8% IBS (1000Genomes) @ 3.72
18 92.1% Vietnamese (Xing) + 7.9% N._European (Xing) @ 3.72
19 92.3% Vietnamese (Xing) + 7.7% Spaniards (Behar) @ 3.73
20 92.2% Vietnamese (Xing) + 7.8% Spanish (Dodecad) @ 3.74

Targum
10-25-2017, 01:32 PM
Admix Results (sorted):

# Population Percent
1 Mediterranean 33.43
2 West_Asian 23.5
3 West_European 19.57
4 Southwest_Asian 13.36
5 East_European 3.59
6 Northwest_African 2.57
7 Southeast_Asian 1.23
8 South_Asian 0.82
9 Neo_African 0.81
10 Northeast_Asian 0.81
11 East_African 0.29
12 Palaeo_African 0.03

Single Population Sharing:

# Population (source) Distance
1 Ashkenazi (Dodecad) 2.01
2 Ashkenazy_Jews (Behar) 2.09
3 Morocco_Jews (Behar) 7.75
4 S_Italian_Sicilian (Dodecad) 11.62
5 Tuscan (Xing) 11.94
6 C_Italian (Dodecad) 12.19
7 Tuscan (Henn) 12.61
8 O_Italian (Dodecad) 12.72
9 TSI (HapMap) 12.92
10 Sephardic_Jews (Behar) 13.97
11 Sicilian (Dodecad) 14.15
12 S_Italian (Dodecad) 14.88
13 Greek (Dodecad) 15.44
14 Tuscan (HGDP) 17.43
15 Uzbekistan_Jews (Behar) 20.29
16 Turkish (Dodecad) 20.35
17 Lebanese (Behar) 21.21
18 N_Italian (Dodecad) 21.22
19 Palestinian (HGDP) 21.34
20 Cypriots (Behar) 21.36

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 64.2% Tuscan (Xing) + 35.8% Lebanese (Behar) @ 1.68
2 98.9% Ashkenazi (Dodecad) + 1.1% Mandenka (Henn) @ 1.72
3 98.6% Ashkenazi (Dodecad) + 1.4% ASW (HapMap) @ 1.73
4 99% Ashkenazi (Dodecad) + 1% Mandenka (HGDP) @ 1.73
5 98.4% Ashkenazi (Dodecad) + 1.6% Siddi (Reich) @ 1.73
6 99% Ashkenazi (Dodecad) + 1% Yoruba (HGDP) @ 1.73
7 99% Ashkenazi (Dodecad) + 1% YRI (HapMap) @ 1.73
8 98.7% Ashkenazi (Dodecad) + 1.3% Kharia (Reich) @ 1.75
9 98.1% Ashkenazi (Dodecad) + 1.9% Nepalese (Xing) @ 1.75
10 98.7% Ashkenazi (Dodecad) + 1.3% Santhal (Reich) @ 1.75
11 98.6% Ashkenazi (Dodecad) + 1.4% Sahariya (Reich) @ 1.75
12 99% Ashkenazi (Dodecad) + 1% Dogon (Xing) @ 1.76
13 98.7% Ashkenazi (Dodecad) + 1.3% Madiga (Reich) @ 1.76
14 98.7% Ashkenazi (Dodecad) + 1.3% AP_Mala (Xing) @ 1.76
15 99% Ashkenazi (Dodecad) + 1% Bambaran (Xing) @ 1.76
16 98.6% Ashkenazi (Dodecad) + 1.4% Satnami (Reich) @ 1.77
17 98.7% Ashkenazi (Dodecad) + 1.3% Chenchu (Reich) @ 1.77
18 98.3% Ashkenazi (Dodecad) + 1.7% Vaish (Reich) @ 1.77
19 98.7% Ashkenazi (Dodecad) + 1.3% AP_Madiga (Xing) @ 1.77
20 98.6% Ashkenazi (Dodecad) + 1.4% Lodi (Reich) @ 1.77

curiousII
10-25-2017, 01:33 PM
CuriousII, try running MDLP World 22 in gedmatch for possible Native American results. Let us know! :)

pvlawyer,

Hi! Here's my MDLP World-22 results:

MDLP World-22

Population

Pygmy -
West Asian 5.20
North-European Mesolithic 5.19
Indo-Tibetan 0.28
Mesoamerican -
Arctic-Amerind 0.66
South-America Amerind 0.11
Indian -
North-Siberean -
Atlantic Mediterranean Neolithic 32.32
Samoedic 0.43
Indo-Iranian 1.19
East-Siberean -
North-East European 50.86
South-African -
North-Amerind -
Sub-Saharian 0.08
East-South-Asian -
Near East 3.52
Melanesian 0.16
Paleo-Siberian -
Austronesian -

Condensed:

West Asian 5.20
North-European Mesolithic 5.19
Indo-Tibetan 0.28
Arctic-Amerind 0.66
South-America Amerind 0.11
Atlantic Mediterranean Neolithic 32.32
Samoedic 0.43
Indo-Iranian 1.19
Atlantic Mediterranean Neolithic 32.32
Samoedic 0.43
Indo-Iranian 1.19
North-East European 50.86
Sub-Saharian 0.08
Near East 3.52
Melanesian 0.16

Single Population Sharing:

# Population (source) Distance

1 CEU V (derived) 2.24
2 German V (derived) 3.04
3 Austrian (derived) 3.42
4 German-North (derived) 4.41
5 Hungarian (derived) 4.76
6 Swedish (derived) 5.09
7 German (derived) 5.23
8 Slovenian (derived) 5.24
9 Welsh (derived) 5.74
10 Croatian (derived) 6.77
11 Norwegian V (derived) 6.94
12 CEU (derived) 7.07
13 Swedish V (derived) 7.76
14 Czech (derived) 7.91
15 British (derived) 8.05
16 Bosnian (derived) 8.13
17 Orcadian (derived) 8.64
18 Croatian V (derived) 8.96
19 Slovakian (derived) 9.61
20 Serbian (derived) 9.76

I high-lighted the two Native American hits, Arctic-Amerind 0.66 and South-America Amerind 0.11. I understand that in some company's autosomal tests Native American markers might appear as Asian of some sort, perhaps Siberian. Would that be inferred in my results? The two groups that I matched with are both decimals. Maybe the Arctic-Amerind is Siberian? My grandmother (the lady in the photo with mustachioed Grandfather Totem Pole) was Polish, supposedly born in Colorado ca. 1870. I got a couple vague wagon train stories from that side of the family that alluded to her arrival in the West, but I always thought that was extreme Manifest Destiny expansion for the Poles. If there is Native American in my GEDMatch results, they might be from her rather than Grandfather.

I also read that DF27 sometime shows up as South American Indian due to admixture from colonial days. I've read that on a couple of sites, anyway.

Oracle (CEU is interesting: http://www.internationalgenome.org/faq/which-populations-are-part-your-study):

Single Population Sharing:

# Population (source) Distance

1 CEU V (derived) 2.24
2 German V (derived) 3.04
3 Austrian (derived) 3.42
4 German-North (derived) 4.41
5 Hungarian (derived) 4.76
6 Swedish (derived) 5.09
7 German (derived) 5.23
8 Slovenian (derived) 5.24
9 Welsh (derived) 5.74
10 Croatian (derived) 6.77
11 Norwegian V (derived) 6.94
12 CEU (derived) 7.07
13 Swedish V (derived) 7.76
14 Czech (derived) 7.91
15 British (derived) 8.05
16 Bosnian (derived) 8.13
17 Orcadian (derived) 8.64
18 Croatian V (derived) 8.96
19 Slovakian (derived) 9.61
20 Serbian (derived) 9.76

MDLP World-22 4-Ancestors Oracle

Admix Results (sorted):

# Population Percent

1 North-East-European 50.86
2 Atlantic Mediterranean Neolithic 32.32
3 West-Asian 5.20
4 North-European-Mesolithic 5.19
5 Near East 3.52
6 Indo-Iranian 1.19

Least-squares method.

Using 1 population approximation:

1 CEU V derived 2.413870
2 German V derived 3.410131
3 Austrian derived 3.746228
4 German-North derived 4.943682
5 Hungarian derived 5.276834
6 Swedish derived 5.666959
7 German derived 5.795880
8 Slovenian derived 5.854749
9 Welsh derived 6.284910
10 Croatian derived 7.553215
11 Norwegian V derived 7.647914
12 CEU derived 7.871026
13 Swedish V derived 8.640465
14 Czech derived 8.886125
15 British derived 8.933540
16 Bosnian derived 9.098716
17 Orcadian derived 9.559265
18 Croatian V derived 9.934665
19 Slovakian derived 10.830610
20 Serbian derived 11.017591

Using 2 populations approximation:

1 50% Croatian V derived +50% Orcadian derived 1.556877


Using 3 populations approximation:

1 50% CEU derived +25% Estonian derived +25% Italian North derived 1.301521

curiousII
10-26-2017, 01:30 PM
Aw, come on, pvlawyer! Went through all that and you don't have an opinion?

Well, while I'm waiting on your advice, I'll try to figure out how Grandpa Tomahawk ended up where he was. Perhaps his family was Tory during the Revolution and had to flee to the North after the war. My y111 matched me with a person who shares my family name and whose ancestor came to the New World from England in 1700. That was when America was still a colony, so about all there was then were Tories and Frenchmen.

That's one option. If that family had to escape North they may have had to live with whoever accepted them. And the French contact with tribal life was quite intimate, but I don't think my grandfather was French as my dad, aunts, and uncles all spoke English.

But here's a thought: Maybe he was Jewish. Were the Jews tight with Indian tribes, or did they remain separate? So, if the GEDMatch Jtest is accurate, here's my results. I don't think I'm Jewish:

Jtest Oracle results

Admix Results (sorted):

# Population Percent

1 ATLANTIC 25.9
2 NORTH-CENTRALEUROPEAN 24.38
3 SOUTH BALTIC 16.96
4 EAST EUROPEAN 13.22
5 WEST MED 9.76
6 EAST MED 5.3
7 ASHKENAZI 2.75
8 WEST ASIAN 1.2
9 MIDDLE EASTERN 0.26
10 SIBERIAN 0.23
11 EAST AFRICAN 0.07

Single Population Sharing:

# Population (source) Distance

1 West & Central German 4.65
2 NL 5.26 Netherlands?
3 Cornish 6.62
4 Orcadian 6.91
5 DK 6.93 Denmark?
6 English 7.06
7 South & Central Swedish 7.32
8 NO 7.39 Norway
9 AT 8.02 Austria
10 IE 8.04 Ireland?
11 Scottish 8.37
12 North Swedish 9.71
13 FR 11.9 France
14 HU 12.83 Hungary
15 Serbian 15.84
16 South Finnish 16.17
17 PL 17.55 Any idea?
18 PT 18.46 Portugal
19 RO 18.91 Romania?
20 ES 18.93 Estonia?

You'll see my Ashkenazi is 2.75. A cut-and-paste: "So anyone who gets an Ashkenazi score of around 2-3% either has very distant Jewish ancestry or, more likely, none at all. However, those who show more than 25% membership in that cluster are almost certainly of fully Ashkenazi ancestry..." That from this blog, no idea how reliable but one I found when I tried to interpret my results: http://bga101.blogspot.com/2012/09/eurogenes-ashkenazim-ancestry-test-files.html

So there I am, pvlawyer. No idea how accurate the tribal story is, but wherever Grandfather was, this is just about what he looked like. When you have the time, how about a little input?

rayvs
10-26-2017, 10:47 PM
You can also try Wegene, I got mayan for amerind.

curiousII
10-27-2017, 12:51 AM
You can also try Wegene, I got mayan for amerind.

No, but thanks. I don't think I need to "try" anywhere else. My GEDMatch pretty much explains things, along with my FTDNA results. I did upload to DNA.Land:

West Eurasian 100%

Northwest European 64%
Northeast European 20%
North Slavic 17%
Finnish 2.5%
Southwestern European 8.9%
Ashkenazi 3.8%
Balkan 2.5%
Ambiguous 1.2%

You'll see my Ashkenazi is still quite low and I have exactly zip Native American. As far as "trying" goes, I'm still me no matter what company I use and no matter what algorithm FTDNA decides to use on its FF next time. And Grandfather just traded his teepee in for a diamond stickpin and a watchfob.

I believe the teepee story to be true as I have a cousin (never met her) who used Native American minority heritage to gain and retire from civil service. Always the chance of an NPE in here somewhere, but not me as my parents stayed together and there was never any allegations of infidelity.

Not just trivia to me as I'm in the Mayflower Society from my mom's heritage. Now I believe her family believed my father and his siblings were Indian. Pilgrims used to enslave Indians, so going on that assumption my mother really married down a notch or two from her siblings' viewpoint. Always knew there was veiled hostility between the two sides, now that's in perspective also. Or, perhaps it was due to Mom's side also being SAR and DAR while Dad's was maybe past Tory.

But I'll never know. What I do know is that I'm going to safely say I'm not Native American, and if my Ashkenazi hit is real it's far back in history as we never talked about that over the dinner table, either. And, as I've been told that DF27 holders usually dispute any minimal Jewish heritage, I'm following along a well-traveled road when I deny that, also.

So, pvlawyer, see what rayvs opined? He was kind enough to suggest I try another company. I believe I don't need to and my interpretation of my FTDNA, DNA.Land, and GEDMatch are supported by my results. Am I correct? I'm not trying to get enrolled in any tribe as I'm not Native American. Right? I'm not trying for Aliyah as my Jewish ancestry is, at best, quite vague and probably non-existent. True?

Pvlawyer, if the latter-part of your name is an indication of your employment, where will President Trump deport me to when he gets around to me? Both a rez or Israel are out. South America, no. Catalan? No way! Italy or France? Well, maybe OK, I guess I could live with that.

Geborgenheit
10-27-2017, 09:11 PM
My results

1 West_European 37.17
2 East_European 30.42
3 Mediterranean 20.28
4 West_Asian 9.46
5 Southwest_Asian 1.32


Least-squares method.

Using 1 population approximation:
1 Hungarians_Behar @ 6.630300
2 Slovenian_Xing @ 9.160544
3 Mixed_Slav_Dodecad @ 15.724402
4 Polish_Dodecad @ 15.882170
5 Balkans_Dodecad @ 17.021681
6 German_Dodecad @ 20.876806
7 Russian_Dodecad @ 21.755491
8 Romanians_14_Behar @ 22.104963
9 FIN_1000Genomes @ 24.437826
10 Finnish_Dodecad @ 25.414909
11 Russian_HGDP @ 25.705196
12 CEU_HapMap @ 26.161322
13 N._European_Xing @ 26.200632
14 Argyll_1000 Genomes @ 26.592810
15 Orcadian_HGDP @ 27.605305
16 Orkney_1000 Genomes @ 27.838020
17 Belorussian_Behar @ 28.203138
18 Chuvashs_16_Behar @ 32.737637
19 French_Dodecad @ 32.905682
20 Lithuanians_Behar @ 33.217545

Using 2 populations approximation:
1 50% Mixed_Slav_Dodecad +50% Slovenian_Xing @ 3.619570


Using 3 populations approximation:
1 50% Balkans_Dodecad +25% Russian_HGDP +25% Swedish_Dodecad @ 1.651900

Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++
1 Mixed_Germanic_Dodecad + Mixed_Slav_Dodecad + Romanians_14_Behar + Russian_Dodecad @ 0.940630
2 Greek_Dodecad + Irish_Dodecad + Lithuanians_Behar + Russian_Dodecad @ 1.028183
3 Mixed_Germanic_Dodecad + Polish_Dodecad + Romanians_14_Behar + Russian_Dodecad @ 1.239685
4 Greek_Dodecad + Irish_Dodecad + Lithuanian_Dodecad + Russian_Dodecad @ 1.342117
5 Greek_Dodecad + Lithuanians_Behar + Mixed_Slav_Dodecad + Norwegian_Dodecad @ 1.371029
6 Balkans_Dodecad + Mixed_Germanic_Dodecad + Mixed_Slav_Dodecad + Mixed_Slav_Dodecad @ 1.448529
7 Dutch_Dodecad + Mixed_Slav_Dodecad + Romanians_14_Behar + Russian_Dodecad @ 1.454215
8 CEU_HapMap + Finnish_Dodecad + Greek_Dodecad + Lithuanians_Behar @ 1.474725
9 Greek_Dodecad + Irish_Dodecad + Lithuanian_Dodecad + Mixed_Slav_Dodecad @ 1.547203
10 Balkans_Dodecad + Lithuanian_Dodecad + Norwegian_Dodecad + Romanians_14_Behar @ 1.552769
11 British_Isles_Dodecad + Greek_Dodecad + Lithuanians_Behar + Russian_Dodecad @ 1.566158
12 Cornwall_1000 Genomes + Greek_Dodecad + Lithuanians_Behar + Russian_Dodecad @ 1.570396
13 Kent_1000 Genomes + Mixed_Slav_Dodecad + Romanians_14_Behar + Russian_Dodecad @ 1.611767
14 Lithuanian_Dodecad + Mixed_Germanic_Dodecad + O_Italian_Dodecad + Russian_Dodecad @ 1.645641
15 Balkans_Dodecad + Balkans_Dodecad + Russian_HGDP + Swedish_Dodecad @ 1.651900
16 British_Dodecad + Greek_Dodecad + Lithuanians_Behar + Russian_Dodecad @ 1.663189
17 Balkans_Dodecad + Lithuanians_Behar + Romanians_14_Behar + Swedish_Dodecad @ 1.677391
18 Lithuanian_Dodecad + Mixed_Slav_Dodecad + TSI_HapMap + Argyll_1000 Genomes @ 1.685110
19 CEU_HapMap + Finnish_Dodecad + Greek_Dodecad + Lithuanian_Dodecad @ 1.692497
20 Greek_Dodecad + Irish_Dodecad + Lithuanians_Behar + Russian_HGDP @ 1.696992

jortita
12-10-2017, 06:31 AM
Living DNA Results (even though calculator is outdated)

Admix Results (sorted):

# Population Percent
1 South_Asian 45.8
2 Southeast_Asian 18.87
3 West_European 9.14
4 West_Asian 8.87
5 Northeast_Asian 4.99
6 East_European 4.28
7 Mediterranean 4.01
8 Northwest_African 2.22
9 Palaeo_African 1
10 Neo_African 0.41
11 Southwest_Asian 0.39

Single Population Sharing:

# Population (source) Distance
1 Nepalese (Xing) 9.97
2 Tharu (Reich) 15.35
3 Sahariya (Reich) 16.05
4 Vaish (Reich) 16.69
5 Srivastava (Reich) 17.12
6 Satnami (Reich) 17.32
7 Cochin_Jews (Behar) 17.6
8 Meghawal (Reich) 17.91
9 Burusho (HGDP) 18.09
10 AP_Brahmin (Xing) 18.65
11 TN_Brahmin (Xing) 19.59
12 Lodi (Reich) 20.16
13 Kashmiri_Pandit (Reich) 20.22
14 Santhal (Reich) 21.11
15 Pakistani (Xing) 21.82
16 Kharia (Reich) 21.86
17 Hallaki (Reich) 22.6
18 Sindhi (HGDP) 22.66
19 Indian (Dodecad) 22.79
20 Velama (Reich) 22.94

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 73.2% Nepalese (Xing) + 26.8% Chenchu (Reich) @ 3.69
2 61.7% Nepalese (Xing) + 38.3% Tharu (Reich) @ 3.8
3 73.1% Nepalese (Xing) + 26.9% Madiga (Reich) @ 3.83
4 73.2% Nepalese (Xing) + 26.8% AP_Mala (Xing) @ 3.96
5 76.7% Sahariya (Reich) + 23.3% Stalskoe (Xing) @ 3.98
6 68.4% Nepalese (Xing) + 31.6% Lodi (Reich) @ 4
7 79.5% AP_Brahmin (Xing) + 20.5% Tu (HGDP) @ 4.08
8 75.9% Indian (Dodecad) + 24.1% Tu (HGDP) @ 4.09
9 81.4% AP_Brahmin (Xing) + 18.6% Chinese (Dodecad) @ 4.09
10 81.5% Vaish (Reich) + 18.5% Nysha (Reich) @ 4.11
11 80.5% AP_Brahmin (Xing) + 19.5% Aonaga (Reich) @ 4.13
12 81.3% AP_Brahmin (Xing) + 18.7% Naxi (HGDP) @ 4.13
13 72.9% Nepalese (Xing) + 27.1% Bhil (Reich) @ 4.13
14 81.4% AP_Brahmin (Xing) + 18.6% Yizu (HGDP) @ 4.14
15 82.2% Vaish (Reich) + 17.8% Aonaga (Reich) @ 4.15
16 65% Nepalese (Xing) + 35% Satnami (Reich) @ 4.16
17 81.8% AP_Brahmin (Xing) + 18.2% JPT (HapMap) @ 4.17
18 79.7% AP_Brahmin (Xing) + 20.3% Nysha (Reich) @ 4.18
19 83.1% Vaish (Reich) + 16.9% Chinese (Dodecad) @ 4.2
20 83.5% Vaish (Reich) + 16.5% JPT (HapMap) @ 4.21

Least-squares method.

Using 1 population approximation:
1 Nepalese @ 10.522668
2 Tharu @ 16.086790
3 Vaish @ 16.393646
4 Srivastava @ 17.376848
5 Sahariya @ 17.485670
6 Cochin_Jews @ 17.713820
7 Meghawal @ 17.809727
8 AP_Brahmin @ 18.801018
9 Satnami @ 18.939188
10 Burusho @ 19.047659
11 TN_Brahmin @ 19.679264
12 Kashmiri_Pandit @ 21.010281
13 Lodi @ 21.059074
14 Pakistani @ 22.071800
15 Kharia @ 22.427023
16 Sindhi @ 22.802721
17 Santhal @ 22.808447
18 Indian @ 23.022032
19 Hallaki @ 23.868355
20 Velama @ 23.950003

Using 2 populations approximation:
1 50% Nepalese +50% Tharu @ 4.927691


Using 3 populations approximation:
1 50% Nepalese +25% Sahariya +25% Vaish @ 3.341270


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++
1 Nepalese + Nepalese + Sahariya + Vaish @ 3.341270
2 Nepalese + Nepalese + Santhal + Vaish @ 3.638154
3 Nepalese + Nepalese + Kharia + Vaish @ 3.670803
4 Uygur + Santhal + Tharu + Vaish @ 3.721903
5 Uzbeks + Chenchu + Kharia + Vaish @ 3.819750
6 Nepalese + Nepalese + Nepalese + Chenchu @ 3.823148
7 Hazara + Kharia + Lodi + Vaish @ 3.858263
8 Nepalese + Nepalese + Nepalese + Madiga @ 3.998313
9 Hazara + Santhal + Tharu + Vaish @ 4.000577
10 Hazara + Kharia + Tharu + Vaish @ 4.001059
11 Stalskoe + Sahariya + Sahariya + Santhal @ 4.011677
12 Uzbeks + AP_Mala + Kharia + Vaish @ 4.014915
13 Uzbeks + Sahariya + Santhal + Vaish @ 4.046338
14 GIH + Indian + Tu + Vaish @ 4.053141
15 Uygur + Lodi + Santhal + Vaish @ 4.088153
16 Stalskoe + Chenchu + Kharia + Sahariya @ 4.104115
17 AP_Mala + Nepalese + Nepalese + Nepalese @ 4.127340
18 Nepalese + Nepalese + Meghawal + Sahariya @ 4.145914
19 Uzbeks + Kharia + Madiga + Vaish @ 4.148939
20 Stalskoe + Kharia + Sahariya + Satnami @ 4.150465

michal3141
12-10-2017, 10:13 AM
Admix Results (sorted):

# Population Percent
1 West_European 39.31
2 East_European 31.95
3 Mediterranean 18.02
4 West_Asian 7.54
5 Northeast_Asian 1.05
6 South_Asian 1.01
7 Southwest_Asian 0.78
8 Southeast_Asian 0.16
9 East_African 0.11
10 Palaeo_African 0.08

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 8.72
2 Slovenian (Xing) 10.36
3 Polish (Dodecad) 12.72
4 Mixed_Slav (Dodecad) 12.86
5 Russian (Dodecad) 18.03
6 German (Dodecad) 18.61
7 Balkans (Dodecad) 18.69
8 FIN (1000Genomes) 19.12
9 Finnish (Dodecad) 19.78
10 Russian (HGDP) 21.59
11 Romanians_14 (Behar) 23.39
12 N._European (Xing) 23.84
13 CEU (HapMap) 24.01
14 Argyll (1000 Genomes) 24.07
15 Belorussian (Behar) 24.26
16 Orcadian (HGDP) 25.02
17 Orkney (1000 Genomes) 25.17
18 Lithuanians (Behar) 28
19 Swedish (Dodecad) 29.95
20 Lithuanian (Dodecad) 30.54

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 65.1% Mixed_Slav (Dodecad) + 34.9% N._European (Xing) @ 1.7
2 75% Slovenian (Xing) + 25% Lithuanian (Dodecad) @ 1.94
3 73.3% Slovenian (Xing) + 26.7% Lithuanians (Behar) @ 1.94
4 65.4% Mixed_Slav (Dodecad) + 34.6% Argyll (1000 Genomes) @ 1.98
5 70.6% Mixed_Slav (Dodecad) + 29.4% Mixed_Germanic (Dodecad) @ 2.01
6 65.3% Mixed_Slav (Dodecad) + 34.7% CEU (HapMap) @ 2.02
7 71.7% Mixed_Slav (Dodecad) + 28.3% Dutch (Dodecad) @ 2.28
8 66.3% Mixed_Slav (Dodecad) + 33.7% Orcadian (HGDP) @ 2.29
9 66.4% Mixed_Slav (Dodecad) + 33.6% Orkney (1000 Genomes) @ 2.33
10 59.4% Mixed_Slav (Dodecad) + 40.6% German (Dodecad) @ 2.4
11 64% Slovenian (Xing) + 36% Russian (Dodecad) @ 2.55
12 73% Mixed_Slav (Dodecad) + 27% Kent (1000 Genomes) @ 2.58
13 63.7% Russian (Dodecad) + 36.3% French (HGDP) @ 2.6
14 74.3% Mixed_Slav (Dodecad) + 25.7% Cornwall (1000 Genomes) @ 2.72
15 68.2% Slovenian (Xing) + 31.8% Russian (HGDP) @ 2.72
16 74% Mixed_Slav (Dodecad) + 26% British (Dodecad) @ 2.84
17 57.2% Russian (Dodecad) + 42.8% CEU (HapMap) @ 2.94
18 70.5% Hungarians (Behar) + 29.5% Finnish (Dodecad) @ 2.96
19 73.8% Mixed_Slav (Dodecad) + 26.2% British_Isles (Dodecad) @ 2.97
20 55.8% Slovenian (Xing) + 44.2% Mixed_Slav (Dodecad) @ 3.05

rayvs
12-10-2017, 02:08 PM
double post

JerryS.
12-12-2017, 02:01 AM
Dodecad V3


Admix Results (sorted):
# Population Percent
1 West_European 50.71
2 Mediterranean 26.83
3 East_European 10.45
4 West_Asian 9.5
5 South_Asian 1
6 Northwest_African 0.96
7 East_African 0.55


Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 84.9% Argyll (1000 Genomes) + 15.1% Tuscan (HGDP) @ 1.3
2 84.1% Argyll (1000 Genomes) + 15.9% O_Italian (Dodecad) @ 1.46
3 86.3% Argyll (1000 Genomes) + 13.7% C_Italian (Dodecad) @ 1.46
4 86.9% Orkney (1000 Genomes) + 13.1% Greek (Dodecad) @ 1.51
5 88.3% Argyll (1000 Genomes) + 11.7% Sicilian (Dodecad) @ 1.52
6 88.7% Argyll (1000 Genomes) + 11.3% S_Italian (Dodecad) @ 1.55
7 80.9% Argyll (1000 Genomes) + 19.1% N_Italian (Dodecad) @ 1.58
8 87.7% Orcadian (HGDP) + 12.3% Greek (Dodecad) @ 1.59
9 87.8% Orkney (1000 Genomes) + 12.2% S_Italian (Dodecad) @ 1.6
10 88.5% Orcadian (HGDP) + 11.5% S_Italian (Dodecad) @ 1.61
11 87.4% Orkney (1000 Genomes) + 12.6% Sicilian (Dodecad) @ 1.66
12 88.1% Orcadian (HGDP) + 11.9% Sicilian (Dodecad) @ 1.66
13 88% Argyll (1000 Genomes) + 12% S_Italian_Sicilian (Dodecad) @ 1.71
14 87.8% Orcadian (HGDP) + 12.2% S_Italian_Sicilian (Dodecad) @ 1.76
15 85.3% Orkney (1000 Genomes) + 14.7% C_Italian (Dodecad) @ 1.78
16 92.6% CEU (HapMap) + 7.4% S_Italian (Dodecad) @ 1.79
17 87% Orkney (1000 Genomes) + 13% S_Italian_Sicilian (Dodecad) @ 1.79
18 86.2% Orcadian (HGDP) + 13.8% C_Italian (Dodecad) @ 1.81
19 92.1% CEU (HapMap) + 7.9% Greek (Dodecad) @ 1.82
20 81.5% Argyll (1000 Genomes) + 18.5% TSI (HapMap) @ 1.84

poi
12-12-2017, 05:27 AM
Are these calculators even relevant?



Admix Results (sorted):

# Population Percent
1 South_Asian 42.56
2 West_Asian 17.17
3 West_European 13.62
4 East_European 10.39
5 Southeast_Asian 8.51
6 Mediterranean 4.01
7 Northeast_Asian 3.38


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Burusho_HGDP @ 7.807457
2 Kashmiri_Pandit_Reich @ 9.344172
3 Pakistani_Xing @ 10.569928
4 Vaish_Reich @ 12.219046
5 Sindhi_HGDP @ 12.471115
6 Pathan_HGDP @ 12.673097
7 Meghawal_Reich @ 14.636930
8 Cochin_Jews_Behar @ 16.340933
9 Srivastava_Reich @ 17.204103
10 Nepalese_Xing @ 17.545198
11 TN_Brahmin_Xing @ 18.364447
12 AP_Brahmin_Xing @ 18.564047
13 Bnei_Menashe_Jews_Behar @ 19.039810
14 Indian_Dodecad @ 21.624748
15 Tharu_Reich @ 21.835077
16 Balochi_HGDP @ 23.668041
17 Lodi_Reich @ 24.779404
18 Brahui_HGDP @ 25.166664
19 Velama_Reich @ 25.242758
20 INS_SGVP @ 26.203306

Using 2 populations approximation:
1 50% Burusho_HGDP +50% Vaish_Reich @ 6.244065


Using 3 populations approximation:
1 50% Pathan_HGDP +25% Nepalese_Xing +25% Vaish_Reich @ 5.747197


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++
1 Finnish_Dodecad + Kalash_HGDP + Santhal_Reich + Velama_Reich @ 4.369518
2 Kalash_HGDP + Mixed_Slav_Dodecad + Santhal_Reich + Velama_Reich @ 4.388776
3 Kalash_HGDP + Mixed_Slav_Dodecad + Irula_Xing + Nepalese_Xing @ 4.672191
4 Kalash_HGDP + Polish_Dodecad + Santhal_Reich + Velama_Reich @ 4.739844
5 Uzbeks_Behar + Vaish_Reich + Vaish_Reich + Vaish_Reich @ 4.768292
6 Indian_Dodecad + Kalash_HGDP + Mixed_Slav_Dodecad + Santhal_Reich @ 4.774008
7 Hungarians_Behar + Kalash_HGDP + Santhal_Reich + Srivastava_Reich @ 4.789046
8 Kalash_HGDP + Slovenian_Xing + Santhal_Reich + Srivastava_Reich @ 4.803334
9 Kalash_HGDP + Russian_Dodecad + Santhal_Reich + Velama_Reich @ 4.835364
10 INS_SGVP + Kalash_HGDP + Mixed_Slav_Dodecad + Santhal_Reich @ 4.854217
11 GIH_HapMap + Kalash_HGDP + Mixed_Slav_Dodecad + Kharia_Reich @ 4.956849
12 GIH_HapMap + Hungarians_Behar + Kalash_HGDP + Kharia_Reich @ 4.958053
13 Urkarah_Xing + Sahariya_Reich + Vaish_Reich + Vaish_Reich @ 4.975749
14 Kalash_HGDP + Mixed_Slav_Dodecad + AP_Brahmin_Xing + Santhal_Reich @ 4.981715
15 FIN_1000Genomes + Kalash_HGDP + Santhal_Reich + Velama_Reich @ 4.994190
16 Hungarians_Behar + Kalash_HGDP + Irula_Xing + Nepalese_Xing @ 4.998852
17 GIH_HapMap + Kalash_HGDP + Slovenian_Xing + Kharia_Reich @ 5.007258
18 GIH_HapMap + Kalash_HGDP + Mixed_Slav_Dodecad + Santhal_Reich @ 5.011281
19 Hungarians_Behar + INS_SGVP + Kalash_HGDP + Santhal_Reich @ 5.023133
20 Hungarians_Behar + Kalash_HGDP + Santhal_Reich + Velama_Reich @ 5.045331

Grahamscy
12-18-2017, 02:31 AM
Mine ( for the record , for me Dodecad seems broadly consistent with what other Gedmatch calculators dredge up )

Kit M040821

Admix Results (sorted):
# Population Percent
1 West_European 51.17
2 Mediterranean 24.49
3 East_European 11.49
4 West_Asian 11.44
5 Northwest_African 0.64
6 Neo_African 0.5
7 Southeast_Asian 0.21
8 Palaeo_African 0.05


Single Population Sharing:
# Population (source) Distance
1 CEU (HapMap) 4.62
2 N._European (Xing) 5.08
3 Argyll (1000 Genomes) 5.19
4 Orcadian (HGDP) 6
5 Orkney (1000 Genomes) 6.32
6 German (Dodecad) 7.2
7 Mixed_Germanic (Dodecad) 10.03
8 French (HGDP) 11.75
9 Dutch (Dodecad) 11.81
10 French (Dodecad) 12.41
11 Kent (1000 Genomes) 13.86
12 Slovenian (Xing) 14.38
13 British_Isles (Dodecad) 15.63
14 British (Dodecad) 15.83
15 Cornwall (1000 Genomes) 16.3
16 Swedish (Dodecad) 17.85
17 Irish (Dodecad) 18.44
18 Hungarians (Behar) 18.83
19 Norwegian (Dodecad) 19.04
20 French_Basque (HGDP) 23.45


Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 92.8% CEU (HapMap) + 7.2% Adygei (HGDP) @ 1.24
2 93.9% CEU (HapMap) + 6.1% Georgians (Behar) @ 1.4
3 90.6% CEU (HapMap) + 9.4% Urkarah (Xing) @ 1.49
4 92.9% CEU (HapMap) + 7.1% Lezgins (Behar) @ 1.57
5 92.5% Argyll (1000 Genomes) + 7.5% Armenians_16 (Behar) @ 1.63
6 92.2% Orcadian (HGDP) + 7.8% Georgians (Behar) @ 1.67
7 90.8% Argyll (1000 Genomes) + 9.2% Turkish (Dodecad) @ 1.71
8 92.4% Argyll (1000 Genomes) + 7.6% Armenian (Dodecad) @ 1.74
9 74.3% Mixed_Germanic (Dodecad) + 25.7% Balkans (Dodecad) @ 1.76
10 91.4% Argyll (1000 Genomes) + 8.6% Turks (Behar) @ 1.79
11 90% Orcadian (HGDP) + 10% Turks (Behar) @ 1.82
12 91.4% Orcadian (HGDP) + 8.6% Armenians_16 (Behar) @ 1.82
13 91.9% Orkney (1000 Genomes) + 8.1% Georgians (Behar) @ 1.9
14 91% Orkney (1000 Genomes) + 9% Armenians_16 (Behar) @ 1.91
15 89.6% Orkney (1000 Genomes) + 10.4% Turks (Behar) @ 1.94
16 89.5% Orcadian (HGDP) + 10.5% Turkish (Dodecad) @ 1.96
17 90% CEU (HapMap) + 10% Stalskoe (Xing) @ 1.97
18 91.3% Orcadian (HGDP) + 8.7% Armenian (Dodecad) @ 2.02
19 89% Orkney (1000 Genomes) + 11% Turkish (Dodecad) @ 2.04
20 93.4% Argyll (1000 Genomes) + 6.6% Georgians (Behar) @ 2.06

and Oracle 4


Least-squares method.

Using 1 population approximation:
1 CEU_HapMap @ 5.221026
2 N._European_Xing @ 5.690565
3 Argyll_1000 Genomes @ 5.815450
4 Orcadian_HGDP @ 6.748865
5 Orkney_1000 Genomes @ 7.112990
6 German_Dodecad @ 8.034203
7 Mixed_Germanic_Dodecad @ 11.149891
8 French_HGDP @ 12.959194
9 Dutch_Dodecad @ 13.148886
10 French_Dodecad @ 13.736839
11 Kent_1000 Genomes @ 15.435905
12 Slovenian_Xing @ 15.943696
13 British_Isles_Dodecad @ 17.426533
14 British_Dodecad @ 17.635868
15 Cornwall_1000 Genomes @ 18.148548
16 Swedish_Dodecad @ 19.881134
17 Irish_Dodecad @ 20.539392
18 Hungarians_Behar @ 20.871054
19 Norwegian_Dodecad @ 21.243999
20 French_Basque_HGDP @ 25.937216

Using 2 populations approximation:
1 50% Kent_1000 Genomes +50% Slovenian_Xing @ 3.791729


Using 3 populations approximation:
1 50% Mixed_Germanic_Dodecad +25% Mixed_Germanic_Dodecad +25% Romanians_14_Behar @ 2.381539


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++
1 Balkans_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 1.921043
2 British_Isles_Dodecad + Mixed_Germanic_Dodecad + Romanians_14_Behar + Argyll_1000 Genomes @ 2.298084
3 Balkans_Dodecad + Dutch_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 2.334818
4 Kent_1000 Genomes + Mixed_Germanic_Dodecad + Romanians_14_Behar + Argyll_1000 Genomes @ 2.377467
5 Irish_Dodecad + Mixed_Germanic_Dodecad + Romanians_14_Behar + Argyll_1000 Genomes @ 2.379179
6 Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Romanians_14_Behar @ 2.381539
7 Cornwall_1000 Genomes + Mixed_Germanic_Dodecad + Romanians_14_Behar + Argyll_1000 Genomes @ 2.410438
8 British_Dodecad + Mixed_Germanic_Dodecad + Romanians_14_Behar + Argyll_1000 Genomes @ 2.435155
9 Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Romanians_14_Behar + Argyll_1000 Genomes @ 2.485761
10 Balkans_Dodecad + Cornwall_1000 Genomes + Mixed_Germanic_Dodecad + Argyll_1000 Genomes @ 2.506135
11 Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Orkney_1000 Genomes + Romanians_14_Behar @ 2.512423
12 Balkans_Dodecad + Kent_1000 Genomes + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad @ 2.520648
13 Balkans_Dodecad + Kent_1000 Genomes + Mixed_Germanic_Dodecad + Argyll_1000 Genomes @ 2.530087
14 Balkans_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Argyll_1000 Genomes @ 2.546924
15 Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Orcadian_HGDP + Romanians_14_Behar @ 2.566109
16 British_Isles_Dodecad + Mixed_Germanic_Dodecad + Orcadian_HGDP + Romanians_14_Behar @ 2.576004
17 British_Isles_Dodecad + Mixed_Germanic_Dodecad + Orkney_1000 Genomes + Romanians_14_Behar @ 2.583473
18 Balkans_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Orkney_1000 Genomes @ 2.605618
19 Kent_1000 Genomes + Mixed_Germanic_Dodecad + Orkney_1000 Genomes + Romanians_14_Behar @ 2.614712
20 Balkans_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Orcadian_HGDP @ 2.621651

gyanwali
12-19-2017, 12:26 AM
Are these calculators even relevant?



Admix Results (sorted):

# Population Percent
1 South_Asian 42.56
2 West_Asian 17.17
3 West_European 13.62
4 East_European 10.39
5 Southeast_Asian 8.51
6 Mediterranean 4.01
7 Northeast_Asian 3.38


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Burusho_HGDP @ 7.807457
2 Kashmiri_Pandit_Reich @ 9.344172
3 Pakistani_Xing @ 10.569928
4 Vaish_Reich @ 12.219046
5 Sindhi_HGDP @ 12.471115
6 Pathan_HGDP @ 12.673097
7 Meghawal_Reich @ 14.636930
8 Cochin_Jews_Behar @ 16.340933
9 Srivastava_Reich @ 17.204103
10 Nepalese_Xing @ 17.545198
11 TN_Brahmin_Xing @ 18.364447
12 AP_Brahmin_Xing @ 18.564047
13 Bnei_Menashe_Jews_Behar @ 19.039810
14 Indian_Dodecad @ 21.624748
15 Tharu_Reich @ 21.835077
16 Balochi_HGDP @ 23.668041
17 Lodi_Reich @ 24.779404
18 Brahui_HGDP @ 25.166664
19 Velama_Reich @ 25.242758
20 INS_SGVP @ 26.203306

Using 2 populations approximation:
1 50% Burusho_HGDP +50% Vaish_Reich @ 6.244065


Using 3 populations approximation:
1 50% Pathan_HGDP +25% Nepalese_Xing +25% Vaish_Reich @ 5.747197


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++
1 Finnish_Dodecad + Kalash_HGDP + Santhal_Reich + Velama_Reich @ 4.369518
2 Kalash_HGDP + Mixed_Slav_Dodecad + Santhal_Reich + Velama_Reich @ 4.388776
3 Kalash_HGDP + Mixed_Slav_Dodecad + Irula_Xing + Nepalese_Xing @ 4.672191
4 Kalash_HGDP + Polish_Dodecad + Santhal_Reich + Velama_Reich @ 4.739844
5 Uzbeks_Behar + Vaish_Reich + Vaish_Reich + Vaish_Reich @ 4.768292
6 Indian_Dodecad + Kalash_HGDP + Mixed_Slav_Dodecad + Santhal_Reich @ 4.774008
7 Hungarians_Behar + Kalash_HGDP + Santhal_Reich + Srivastava_Reich @ 4.789046
8 Kalash_HGDP + Slovenian_Xing + Santhal_Reich + Srivastava_Reich @ 4.803334
9 Kalash_HGDP + Russian_Dodecad + Santhal_Reich + Velama_Reich @ 4.835364
10 INS_SGVP + Kalash_HGDP + Mixed_Slav_Dodecad + Santhal_Reich @ 4.854217
11 GIH_HapMap + Kalash_HGDP + Mixed_Slav_Dodecad + Kharia_Reich @ 4.956849
12 GIH_HapMap + Hungarians_Behar + Kalash_HGDP + Kharia_Reich @ 4.958053
13 Urkarah_Xing + Sahariya_Reich + Vaish_Reich + Vaish_Reich @ 4.975749
14 Kalash_HGDP + Mixed_Slav_Dodecad + AP_Brahmin_Xing + Santhal_Reich @ 4.981715
15 FIN_1000Genomes + Kalash_HGDP + Santhal_Reich + Velama_Reich @ 4.994190
16 Hungarians_Behar + Kalash_HGDP + Irula_Xing + Nepalese_Xing @ 4.998852
17 GIH_HapMap + Kalash_HGDP + Slovenian_Xing + Kharia_Reich @ 5.007258
18 GIH_HapMap + Kalash_HGDP + Mixed_Slav_Dodecad + Santhal_Reich @ 5.011281
19 Hungarians_Behar + INS_SGVP + Kalash_HGDP + Santhal_Reich @ 5.023133
20 Hungarians_Behar + Kalash_HGDP + Santhal_Reich + Velama_Reich @ 5.045331

South_Asian 42.69
2 West_Asian 16.73
3 West_European 13.94
4 East_European 9.07
5 Southeast_Asian 7.79
6 Northeast_Asian 4.63
7 Mediterranean 4.34

Why is it that our Euro scores are higher than West Asian? Isn’t west Asian ancestry more plausible? Does that mean that the Med, West Euro and East Euro are from the steppe?

poi
12-19-2017, 12:33 AM
South_Asian 42.69
2 West_Asian 16.73
3 West_European 13.94
4 East_European 9.07
5 Southeast_Asian 7.79
6 Northeast_Asian 4.63
7 Mediterranean 4.34

Why is it that our Euro scores are higher than West Asian? Isn’t west Asian ancestry more plausible? Does that mean that the Med, West Euro and East Euro are from the steppe?

The only thing I get out of these old calculators is that we have identical results, regardless of results themselves. New calcs are all over the place.

JerryS.
12-19-2017, 01:07 AM
Dodecad V3 has categories for European and African ancestry primarily depending upon the model used. not every calculator will have a focus on the various east Asian regions. you must use the correct model for your ethnicity to ensure accuracy.

lukaszM
02-05-2018, 09:32 PM
mine

East_European 34.38
West_European 38.11
Mediterranean 18.48
Neo_African -
West_Asian 6.86
South_Asian 0.94
Northeast_Asian -
Southeast_Asian -
East_African -
Southwest_Asian 0.98
Northwest_African 0.27
Palaeo_African -


my
normal result
Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 9.78
2 Polish (Dodecad) 10.24
3 Mixed_Slav (Dodecad) 10.62
4 Slovenian (Xing) 12.29
5 Russian (Dodecad) 16.23
6 Balkans (Dodecad) 18.41
7 Russian (HGDP) 20.21
8 Finnish (Dodecad) 20.26
9 FIN (1000Genomes) 20.62
10 German (Dodecad) 20.82
11 Belorussian (Behar) 21.81
12 Romanians_14 (Behar) 23.52
13 Lithuanians (Behar) 25.88
14 N._European (Xing) 26.16
15 CEU (HapMap) 26.21
16 Argyll (1000 Genomes) 26.36
17 Orcadian (HGDP) 27.24
18 Orkney (1000 Genomes) 27.39
19 Lithuanian (Dodecad) 28.43
20 Chuvashs_16 (Behar) 30.54

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 67.9% Slovenian (Xing) + 32.1% Lithuanians (Behar) @ 0.94
2 69.9% Slovenian (Xing) + 30.1% Lithuanian (Dodecad) @ 1.05
3 71.4% Mixed_Slav (Dodecad) + 28.6% CEU (HapMap) @ 1.75
4 71.4% Mixed_Slav (Dodecad) + 28.6% N._European (Xing) @ 1.91
5 54.7% Polish (Dodecad) + 45.3% Slovenian (Xing) @ 1.94
6 71.6% Mixed_Slav (Dodecad) + 28.4% Argyll (1000 Genomes) @ 2.04
7 72.3% Mixed_Slav (Dodecad) + 27.7% Orcadian (HGDP) @ 2.08
8 72.4% Mixed_Slav (Dodecad) + 27.6% Orkney (1000 Genomes) @ 2.14
9 66.6% Mixed_Slav (Dodecad) + 33.4% German (Dodecad) @ 2.18
10 76.3% Mixed_Slav (Dodecad) + 23.7% French (HGDP) @ 2.2
11 76% Mixed_Slav (Dodecad) + 24% Mixed_Germanic (Dodecad) @ 2.26
12 76.9% Mixed_Slav (Dodecad) + 23.1% Dutch (Dodecad) @ 2.31
13 53.8% Mixed_Slav (Dodecad) + 46.2% Slovenian (Xing) @ 2.39
14 77.9% Mixed_Slav (Dodecad) + 22.1% Kent (1000 Genomes) @ 2.54
15 79% Mixed_Slav (Dodecad) + 21% Cornwall (1000 Genomes) @ 2.7
16 54.6% Belorussian (Behar) + 45.4% N._European (Xing) @ 2.75
17 78.7% Mixed_Slav (Dodecad) + 21.3% British (Dodecad) @ 2.76
18 72.5% Polish (Dodecad) + 27.5% N._European (Xing) @ 2.81
19 78.6% Mixed_Slav (Dodecad) + 21.4% British_Isles (Dodecad) @ 2.86
20 73.3% Hungarians (Behar) + 26.7% Lithuanians (Behar) @ 2.87

JerryS.
02-06-2018, 02:08 AM
mine

East_European 34.38
West_European 38.11
Mediterranean 18.48
Neo_African -
West_Asian 6.86
South_Asian 0.94
Northeast_Asian -
Southeast_Asian -
East_African -
Southwest_Asian 0.98
Northwest_African 0.27
Palaeo_African -


my
normal result
Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 9.78
2 Polish (Dodecad) 10.24
3 Mixed_Slav (Dodecad) 10.62
4 Slovenian (Xing) 12.29
5 Russian (Dodecad) 16.23
6 Balkans (Dodecad) 18.41
7 Russian (HGDP) 20.21
8 Finnish (Dodecad) 20.26
9 FIN (1000Genomes) 20.62
10 German (Dodecad) 20.82
11 Belorussian (Behar) 21.81
12 Romanians_14 (Behar) 23.52
13 Lithuanians (Behar) 25.88
14 N._European (Xing) 26.16
15 CEU (HapMap) 26.21
16 Argyll (1000 Genomes) 26.36
17 Orcadian (HGDP) 27.24
18 Orkney (1000 Genomes) 27.39
19 Lithuanian (Dodecad) 28.43
20 Chuvashs_16 (Behar) 30.54

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 67.9% Slovenian (Xing) + 32.1% Lithuanians (Behar) @ 0.94
2 69.9% Slovenian (Xing) + 30.1% Lithuanian (Dodecad) @ 1.05
3 71.4% Mixed_Slav (Dodecad) + 28.6% CEU (HapMap) @ 1.75
4 71.4% Mixed_Slav (Dodecad) + 28.6% N._European (Xing) @ 1.91
5 54.7% Polish (Dodecad) + 45.3% Slovenian (Xing) @ 1.94
6 71.6% Mixed_Slav (Dodecad) + 28.4% Argyll (1000 Genomes) @ 2.04
7 72.3% Mixed_Slav (Dodecad) + 27.7% Orcadian (HGDP) @ 2.08
8 72.4% Mixed_Slav (Dodecad) + 27.6% Orkney (1000 Genomes) @ 2.14
9 66.6% Mixed_Slav (Dodecad) + 33.4% German (Dodecad) @ 2.18
10 76.3% Mixed_Slav (Dodecad) + 23.7% French (HGDP) @ 2.2
11 76% Mixed_Slav (Dodecad) + 24% Mixed_Germanic (Dodecad) @ 2.26
12 76.9% Mixed_Slav (Dodecad) + 23.1% Dutch (Dodecad) @ 2.31
13 53.8% Mixed_Slav (Dodecad) + 46.2% Slovenian (Xing) @ 2.39
14 77.9% Mixed_Slav (Dodecad) + 22.1% Kent (1000 Genomes) @ 2.54
15 79% Mixed_Slav (Dodecad) + 21% Cornwall (1000 Genomes) @ 2.7
16 54.6% Belorussian (Behar) + 45.4% N._European (Xing) @ 2.75
17 78.7% Mixed_Slav (Dodecad) + 21.3% British (Dodecad) @ 2.76
18 72.5% Polish (Dodecad) + 27.5% N._European (Xing) @ 2.81
19 78.6% Mixed_Slav (Dodecad) + 21.4% British_Isles (Dodecad) @ 2.86
20 73.3% Hungarians (Behar) + 26.7% Lithuanians (Behar) @ 2.87

how do these two population groupings match up with others you've seen for yourself? I find that if the primary population showed a German or two listing this would be darn near exact for me.

SaltyShanker
02-06-2018, 07:06 AM
# Population Percent
1 West_European 48.52
2 Mediterranean 26.61
3 East_European 13.91
4 West_Asian 6.81
5 Southwest_Asian 3.99
6 East_African 0.16

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 6.22
2 German (Dodecad) 6.57
3 N._European (Xing) 7.07
4 Argyll (1000 Genomes) 8.08
5 Orcadian (HGDP) 8.23
6 Orkney (1000 Genomes) 8.53
7 French (Dodecad) 11.53
8 Slovenian (Xing) 11.72
9 French (HGDP) 11.87
10 Mixed_Germanic (Dodecad) 13.85
11 Dutch (Dodecad) 14.86
12 Hungarians (Behar) 15.68
13 Kent (1000 Genomes) 17
14 British_Isles (Dodecad) 18.64
15 British (Dodecad) 18.8
16 Cornwall (1000 Genomes) 19.43
17 Swedish (Dodecad) 19.89
18 Norwegian (Dodecad) 21.31
19 Irish (Dodecad) 21.52
20 Portuguese (Dodecad) 22.12

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 84.3% German (Dodecad) + 15.7% Sardinian (HGDP) @ 1.98
2 78.9% German (Dodecad) + 21.1% N_Italian (Dodecad) @ 2.3
3 83.4% German (Dodecad) + 16.6% Tuscan (HGDP) @ 2.4
4 81.7% German (Dodecad) + 18.3% North_Italian (HGDP) @ 2.42
5 82.5% German (Dodecad) + 17.5% O_Italian (Dodecad) @ 2.51
6 79.7% German (Dodecad) + 20.3% TSI (HapMap) @ 2.69
7 85% German (Dodecad) + 15% C_Italian (Dodecad) @ 2.73
8 80.4% German (Dodecad) + 19.6% IBS (1000Genomes) @ 2.89
9 86.9% German (Dodecad) + 13.1% S_Italian_Sicilian (Dodecad) @ 2.91
10 87.3% German (Dodecad) + 12.7% Sicilian (Dodecad) @ 2.92
11 78.9% German (Dodecad) + 21.1% Portuguese (Dodecad) @ 2.94
12 88.3% German (Dodecad) + 11.7% Sephardic_Jews (Behar) @ 2.94
13 80.5% German (Dodecad) + 19.5% Spanish (Dodecad) @ 3
14 82.5% CEU (HapMap) + 17.5% Balkans (Dodecad) @ 3.04
15 78.1% French (HGDP) + 21.9% Russian (HGDP) @ 3.05
16 87.9% German (Dodecad) + 12.1% S_Italian (Dodecad) @ 3.06
17 80% German (Dodecad) + 20% Spaniards (Behar) @ 3.08
18 81.3% French (HGDP) + 18.7% Lithuanian (Dodecad) @ 3.08
19 80.5% French (HGDP) + 19.5% Lithuanians (Behar) @ 3.16
20 58% British (Dodecad) + 42% Balkans (Dodecad) @ 3.18

JFWinstone
02-06-2018, 01:15 PM
Mine


Admix Results (sorted):

# Population Percent
1 West_European 39.99
2 Mediterranean 18.73
3 East_European 9.46
4 Southeast_Asian 9.01
5 West_Asian 7.11
6 Neo_African 4.23
7 South_Asian 3.85
8 Palaeo_African 3.1
9 Northeast_Asian 2.34
10 Northwest_African 2.05
11 Southwest_Asian 0.14

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 17.43
2 N._European (Xing) 17.94
3 German (Dodecad) 18.38
4 CEU (HapMap) 18.58
5 Argyll (1000 Genomes) 19.11
6 Orcadian (HGDP) 19.8
7 Orkney (1000 Genomes) 19.86
8 Hungarians (Behar) 20.62
9 French (HGDP) 21.97
10 French (Dodecad) 22.19
11 Mixed_Germanic (Dodecad) 22.53
12 Dutch (Dodecad) 23.76
13 Kent (1000 Genomes) 25.57
14 Tuscan (Xing) 25.64
15 Tuscan (Henn) 25.99
16 TSI (HapMap) 26.22
17 British_Isles (Dodecad) 26.82
18 British (Dodecad) 26.87
19 Swedish (Dodecad) 27.14
20 Portuguese (Dodecad) 27.15

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 73.1% CEU (HapMap) + 26.9% Uygur (HGDP) @ 8.37
2 72.2% CEU (HapMap) + 27.8% Hazara (HGDP) @ 8.38
3 70.7% Orkney (1000 Genomes) + 29.3% Hazara (HGDP) @ 8.58
4 70.7% Orcadian (HGDP) + 29.3% Hazara (HGDP) @ 8.6
5 73.3% N._European (Xing) + 26.7% Hazara (HGDP) @ 8.61
6 74.1% N._European (Xing) + 25.9% Uygur (HGDP) @ 8.74
7 71.7% Orcadian (HGDP) + 28.3% Uygur (HGDP) @ 8.77
8 71.6% Orkney (1000 Genomes) + 28.4% Uygur (HGDP) @ 8.77
9 71.7% Argyll (1000 Genomes) + 28.3% Hazara (HGDP) @ 8.78
10 72.7% Argyll (1000 Genomes) + 27.3% Uygur (HGDP) @ 9
11 83.5% N._European (Xing) + 16.5% Thai (Xing) @ 9.02
12 82.9% CEU (HapMap) + 17.1% Thai (Xing) @ 9.18
13 84% N._European (Xing) + 16% Nysha (Reich) @ 9.18
14 83.6% N._European (Xing) + 16.4% Tu (HGDP) @ 9.19
15 73.1% German (Dodecad) + 26.9% Hazara (HGDP) @ 9.3
16 84.7% N._European (Xing) + 15.3% Khmer_Cambodian (Xing) @ 9.36
17 83.5% CEU (HapMap) + 16.5% Nysha (Reich) @ 9.36
18 83.1% CEU (HapMap) + 16.9% Tu (HGDP) @ 9.37
19 83.3% N._European (Xing) + 16.7% Xibo (HGDP) @ 9.41
20 84.5% N._European (Xing) + 15.5% Aonaga (Reich) @ 9.42

Using 1 population approximation:
1 Slovenian_Xing @ 17.868919
2 N._European_Xing @ 18.559790
3 German_Dodecad @ 18.955853
4 CEU_HapMap @ 19.258741
5 Argyll_1000 Genomes @ 19.886429
6 Orcadian_HGDP @ 20.708174
7 Orkney_1000 Genomes @ 20.783165
8 Hungarians_Behar @ 21.526739
9 French_HGDP @ 23.112511
10 French_Dodecad @ 23.355898
11 Mixed_Germanic_Dodecad @ 23.936014
12 Dutch_Dodecad @ 25.357946
13 Kent_1000 Genomes @ 27.456915
14 Tuscan_Xing @ 27.544741
15 Tuscan_Henn @ 27.850721
16 TSI_HapMap @ 28.139454
17 British_Isles_Dodecad @ 28.926500
18 British_Dodecad @ 28.987516
19 Portuguese_Dodecad @ 29.081575
20 Swedish_Dodecad @ 29.309099

Using 2 populations approximation:
1 50% British_Isles_Dodecad +50% Hazara_HGDP @ 14.279618


Using 3 populations approximation:
1 50% German_Dodecad +25% Portuguese_Dodecad +25% Uygur_HGDP @ 7.701291


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +
1 German_Dodecad + Portuguese_Dodecad + Swedish_Dodecad + Uygur_HGDP @ 6.890855
2 Norwegian_Dodecad + Portuguese_Dodecad + Uygur_HGDP + Slovenian_Xing @ 7.088501
3 German_Dodecad + Norwegian_Dodecad + Portuguese_Dodecad + Uygur_HGDP @ 7.124149
4 Portuguese_Dodecad + Swedish_Dodecad + Uygur_HGDP + N._European_Xing @ 7.177237
5 German_Dodecad + Hazara_HGDP + Portuguese_Dodecad + Swedish_Dodecad @ 7.186707
6 Dutch_Dodecad + FIN_1000Genomes + Portuguese_Dodecad + Uygur_HGDP @ 7.197997
7 CEU_HapMap + Portuguese_Dodecad + Swedish_Dodecad + Uygur_HGDP @ 7.242456
8 Portuguese_Dodecad + Swedish_Dodecad + Uygur_HGDP + Argyll_1000 Genomes @ 7.247831
9 FIN_1000Genomes + Mixed_Germanic_Dodecad + Portuguese_Dodecad + Uygur_HGDP @ 7.272718
10 Portuguese_Dodecad + Swedish_Dodecad + Uygur_HGDP + Slovenian_Xing @ 7.273803
11 FIN_1000Genomes + Kent_1000 Genomes + Portuguese_Dodecad + Uygur_HGDP @ 7.276608
12 British_Dodecad + FIN_1000Genomes + Portuguese_Dodecad + Uygur_HGDP @ 7.322205
13 Orkney_1000 Genomes + Portuguese_Dodecad + Swedish_Dodecad + Uygur_HGDP @ 7.338106
14 German_Dodecad + IBS_1000Genomes + Swedish_Dodecad + Uygur_HGDP @ 7.344524
15 Orcadian_HGDP + Portuguese_Dodecad + Swedish_Dodecad + Uygur_HGDP @ 7.352102
16 FIN_1000Genomes + Hazara_HGDP + Mixed_Germanic_Dodecad + Portuguese_Dodecad @ 7.356068
17 Cornwall_1000 Genomes + FIN_1000Genomes + Portuguese_Dodecad + Uygur_HGDP @ 7.356596
18 British_Isles_Dodecad + FIN_1000Genomes + Portuguese_Dodecad + Uygur_HGDP @ 7.363142
19 Dutch_Dodecad + FIN_1000Genomes + Hazara_HGDP + Portuguese_Dodecad @ 7.383799
20 German_Dodecad + Spanish_Dodecad + Swedish_Dodecad + Uygur_HGDP @ 7.394627


Mum


Admix Results (sorted):

# Population Percent
1 West_European 26.29
2 Southeast_Asian 19.27
3 Mediterranean 11.4
4 Neo_African 9.64
5 South_Asian 8.29
6 East_European 7.11
7 Palaeo_African 6.27
8 West_Asian 4.69
9 Northeast_Asian 3.21
10 Northwest_African 2.65
11 East_African 1.18

Single Population Sharing:

# Population (source) Distance
1 Uzbeks (Behar) 32.54
2 Hazara (HGDP) 32.82
3 Slovenian (Xing) 33.81
4 Uygur (HGDP) 34.27
5 Hungarians (Behar) 35.2
6 Nepalese (Xing) 36.46
7 Romanians_14 (Behar) 37.33
8 Tuscan (Xing) 37.43
9 Balkans (Dodecad) 37.46
10 N._European (Xing) 37.64
11 German (Dodecad) 37.7
12 Stalskoe (Xing) 37.73
13 Tuscan (Henn) 38.09
14 Ashkenazy_Jews (Behar) 38.12
15 CEU (HapMap) 38.41
16 TSI (HapMap) 38.43
17 Argyll (1000 Genomes) 38.86
18 Ashkenazi (Dodecad) 39.49
19 Orcadian (HGDP) 39.52
20 Orkney (1000 Genomes) 39.54

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 67.9% Slovenian (Xing) + 32.1% Thai (Xing) @ 17.54
2 70.4% Slovenian (Xing) + 29.6% Khmer_Cambodian (Xing) @ 18.01
3 64.9% N._European (Xing) + 35.1% Thai (Xing) @ 18.11
4 64.9% German (Dodecad) + 35.1% Thai (Xing) @ 18.22
5 64.4% CEU (HapMap) + 35.6% Thai (Xing) @ 18.4
6 64.1% Argyll (1000 Genomes) + 35.9% Thai (Xing) @ 18.56
7 69.5% Slovenian (Xing) + 30.5% Nysha (Reich) @ 18.63
8 71.1% Slovenian (Xing) + 28.9% Cambodians (HGDP) @ 18.66
9 72% Slovenian (Xing) + 28% MAS (SGVP) @ 18.8
10 63.7% Orcadian (HGDP) + 36.3% Thai (Xing) @ 18.95
11 70.5% Slovenian (Xing) + 29.5% Aonaga (Reich) @ 18.95
12 63.7% Orkney (1000 Genomes) + 36.3% Thai (Xing) @ 18.96
13 67.6% N._European (Xing) + 32.4% Khmer_Cambodian (Xing) @ 18.97
14 67.5% German (Dodecad) + 32.5% Khmer_Cambodian (Xing) @ 18.97
15 68.9% Slovenian (Xing) + 31.1% Tu (HGDP) @ 19.02
16 72.5% Slovenian (Xing) + 27.5% Vietnamese (Xing) @ 19.08
17 71.8% Slovenian (Xing) + 28.2% Naxi (HGDP) @ 19.15
18 67.3% Hungarians (Behar) + 32.7% Thai (Xing) @ 19.16
19 72% Slovenian (Xing) + 28% Yizu (HGDP) @ 19.19
20 66.4% N._European (Xing) + 33.6% Nysha (Reich) @ 19.21

Using 1 population approximation:
1 Hazara_HGDP @ 32.660660
2 Uzbeks_Behar @ 33.406761
3 Slovenian_Xing @ 34.005550
4 Uygur_HGDP @ 34.271355
5 Hungarians_Behar @ 35.542324
6 Romanians_14_Behar @ 38.188961
7 Balkans_Dodecad @ 38.270290
8 Tuscan_Xing @ 38.357410
9 German_Dodecad @ 38.666279
10 Nepalese_Xing @ 38.674900
11 N._European_Xing @ 38.714405
12 Kyrgyzstani_Xing @ 38.723507
13 Tuscan_Henn @ 39.042160
14 TSI_HapMap @ 39.470867
15 Ashkenazy_Jews_Behar @ 39.513680
16 CEU_HapMap @ 39.573605
17 Argyll_1000 Genomes @ 40.102921
18 Stalskoe_Xing @ 40.310635
19 Orcadian_HGDP @ 40.900211
20 Orkney_1000 Genomes @ 40.927147

Using 2 populations approximation:
1 50% Hazara_HGDP +50% N._European_Xing @ 18.179165


Using 3 populations approximation:
1 50% N._European_Xing +25% Thai_Xing +25% Siddi_Reich @ 3.951351


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++
1 British_Dodecad + Slovenian_Xing + Thai_Xing + Siddi_Reich @ 3.722906
2 British_Isles_Dodecad + Slovenian_Xing + Thai_Xing + Siddi_Reich @ 3.730594
3 Kent_1000 Genomes + Slovenian_Xing + Thai_Xing + Siddi_Reich @ 3.774358
4 Cornwall_1000 Genomes + Slovenian_Xing + Thai_Xing + Siddi_Reich @ 3.780605
5 Hungarians_Behar + Irish_Dodecad + Khmer_Cambodian_Xing + Siddi_Reich @ 3.800921
6 British_Isles_Dodecad + Khmer_Cambodian_Xing + Slovenian_Xing + Siddi_Reich @ 3.810478
7 Hungarians_Behar + Irish_Dodecad + Thai_Xing + Siddi_Reich @ 3.824155
8 British_Dodecad + Khmer_Cambodian_Xing + Slovenian_Xing + Siddi_Reich @ 3.827970
9 Irish_Dodecad + Slovenian_Xing + Thai_Xing + Siddi_Reich @ 3.848609
10 German_Dodecad + Khmer_Cambodian_Xing + N._European_Xing + Siddi_Reich @ 3.849824
11 Dutch_Dodecad + Slovenian_Xing + Thai_Xing + Siddi_Reich @ 3.873198
12 German_Dodecad + Argyll_1000 Genomes + Khmer_Cambodian_Xing + Siddi_Reich @ 3.881262
13 Kent_1000 Genomes + Khmer_Cambodian_Xing + Slovenian_Xing + Siddi_Reich @ 3.882105
14 German_Dodecad + N._European_Xing + Thai_Xing + Siddi_Reich @ 3.888271
15 Irish_Dodecad + Khmer_Cambodian_Xing + Slovenian_Xing + Siddi_Reich @ 3.893593
16 Cornwall_1000 Genomes + Hungarians_Behar + Thai_Xing + Siddi_Reich @ 3.902612
17 Cornwall_1000 Genomes + Khmer_Cambodian_Xing + Slovenian_Xing + Siddi_Reich @ 3.914900
18 British_Dodecad + Hungarians_Behar + Thai_Xing + Siddi_Reich @ 3.924595
19 N._European_Xing + N._European_Xing + Thai_Xing + Siddi_Reich @ 3.951351
20 British_Isles_Dodecad + Hungarians_Behar + Thai_Xing + Siddi_Reich @ 3.964600


Dad


Admix Results (sorted):

# Population Percent
1 West_European 55.35
2 Mediterranean 25.97
3 East_European 12.03
4 West_Asian 5.95
5 Southwest_Asian 0.7

Single Population Sharing:

# Population (source) Distance
1 Orcadian (HGDP) 1.88
2 CEU (HapMap) 1.99
3 Orkney (1000 Genomes) 2.21
4 Argyll (1000 Genomes) 3.01
5 N._European (Xing) 3.98
6 German (Dodecad) 6.23
7 Mixed_Germanic (Dodecad) 8.64
8 Dutch (Dodecad) 9.14
9 French (HGDP) 10.84
10 French (Dodecad) 10.84
11 Kent (1000 Genomes) 11.02
12 British_Isles (Dodecad) 12.56
13 British (Dodecad) 12.83
14 Cornwall (1000 Genomes) 13.56
15 Swedish (Dodecad) 14.94
16 Irish (Dodecad) 15.51
17 Norwegian (Dodecad) 15.71
18 Slovenian (Xing) 17.28
19 Hungarians (Behar) 21.13
20 French_Basque (HGDP) 21.26

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 97.1% Orcadian (HGDP) + 2.9% Sardinian (HGDP) @ 1.53
2 96.1% Orcadian (HGDP) + 3.9% Spanish (Dodecad) @ 1.55
3 95.2% Orcadian (HGDP) + 4.8% Hungarians (Behar) @ 1.56
4 96.8% Orcadian (HGDP) + 3.2% Balkans (Dodecad) @ 1.56
5 96.2% Orcadian (HGDP) + 3.8% IBS (1000Genomes) @ 1.56
6 54% Orcadian (HGDP) + 46% CEU (HapMap) @ 1.57
7 96.1% Orcadian (HGDP) + 3.9% Spaniards (Behar) @ 1.59
8 96% Orcadian (HGDP) + 4% Portuguese (Dodecad) @ 1.59
9 56.4% CEU (HapMap) + 43.6% Orkney (1000 Genomes) @ 1.62
10 97% Orcadian (HGDP) + 3% North_Italian (HGDP) @ 1.63
11 97.2% Orcadian (HGDP) + 2.8% Romanians_14 (Behar) @ 1.63
12 97.4% Orcadian (HGDP) + 2.6% Polish (Dodecad) @ 1.63
13 98.1% Orcadian (HGDP) + 1.9% Belorussian (Behar) @ 1.63
14 96.2% Orkney (1000 Genomes) + 3.8% Sardinian (HGDP) @ 1.63
15 96.7% Orcadian (HGDP) + 3.3% N_Italian (Dodecad) @ 1.65
16 95.1% Orcadian (HGDP) + 4.9% Slovenian (Xing) @ 1.66
17 96% Orcadian (HGDP) + 4% French_Basque (HGDP) @ 1.67
18 97.7% Orcadian (HGDP) + 2.3% Mixed_Slav (Dodecad) @ 1.68
19 94.8% Orkney (1000 Genomes) + 5.2% Spanish (Dodecad) @ 1.68
20 92.7% Orcadian (HGDP) + 7.3% French (Dodecad) @ 1.69

Using 1 population approximation:
1 Orcadian_HGDP @ 2.081091
2 CEU_HapMap @ 2.201780
3 Orkney_1000 Genomes @ 2.430068
4 Argyll_1000 Genomes @ 3.331667
5 N._European_Xing @ 4.389812
6 German_Dodecad @ 6.864124
7 Mixed_Germanic_Dodecad @ 9.598547
8 Dutch_Dodecad @ 10.125910
9 French_HGDP @ 11.931448
10 French_Dodecad @ 11.934935
11 Kent_1000 Genomes @ 12.222537
12 British_Isles_Dodecad @ 13.931444
13 British_Dodecad @ 14.224055
14 Cornwall_1000 Genomes @ 15.030956
15 Swedish_Dodecad @ 16.530756
16 Irish_Dodecad @ 17.214569
17 Norwegian_Dodecad @ 17.422602
18 Slovenian_Xing @ 19.217560
19 French_Basque_HGDP @ 23.416613
20 Hungarians_Behar @ 23.467461

Using 2 populations approximation:
1 50% CEU_HapMap +50% Orcadian_HGDP @ 1.725554


Using 3 populations approximation:
1 50% Cornwall_1000 Genomes +25% French_Basque_HGDP +25% Mixed_Slav_Dodecad @ 1.640906


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++
1 Cornwall_1000 Genomes + French_Basque_HGDP + Irish_Dodecad + Mixed_Slav_Dodecad @ 1.199476
2 French_Basque_HGDP + Irish_Dodecad + Irish_Dodecad + Mixed_Slav_Dodecad @ 1.301810
3 British_Dodecad + French_Basque_HGDP + Irish_Dodecad + Mixed_Slav_Dodecad @ 1.409590
4 British_Isles_Dodecad + French_Basque_HGDP + Irish_Dodecad + Mixed_Slav_Dodecad @ 1.413616
5 Cornwall_1000 Genomes + French_Basque_HGDP + Irish_Dodecad + Polish_Dodecad @ 1.532986
6 French_Basque_HGDP + German_Dodecad + German_Dodecad + Swedish_Dodecad @ 1.549618
7 French_Basque_HGDP + Irish_Dodecad + Kent_1000 Genomes + Mixed_Slav_Dodecad @ 1.604043
8 Cornwall_1000 Genomes + Cornwall_1000 Genomes + French_Basque_HGDP + Mixed_Slav_Dodecad @ 1.640906
9 British_Isles_Dodecad + French_Basque_HGDP + Hungarians_Behar + Swedish_Dodecad @ 1.704185
10 French_Basque_HGDP + Irish_Dodecad + Irish_Dodecad + Polish_Dodecad @ 1.715580
11 French_Dodecad + German_Dodecad + Orkney_1000 Genomes + Orkney_1000 Genomes @ 1.725125
12 CEU_HapMap + CEU_HapMap + Orcadian_HGDP + Orcadian_HGDP @ 1.725554
13 CEU_HapMap + CEU_HapMap + Orcadian_HGDP + Orkney_1000 Genomes @ 1.730304
14 British_Dodecad + French_Basque_HGDP + Irish_Dodecad + Polish_Dodecad @ 1.732848
15 British_Isles_Dodecad + French_Basque_HGDP + Irish_Dodecad + Polish_Dodecad @ 1.738828
16 British_Isles_Dodecad + Cornwall_1000 Genomes + French_Basque_HGDP + Mixed_Slav_Dodecad @ 1.750730
17 CEU_HapMap + CEU_HapMap + Orkney_1000 Genomes + Orkney_1000 Genomes @ 1.773837
18 British_Dodecad + Cornwall_1000 Genomes + French_Basque_HGDP + Mixed_Slav_Dodecad @ 1.778399
19 French_Dodecad + German_Dodecad + Orcadian_HGDP + Orkney_1000 Genomes @ 1.778782
20 French_Dodecad + German_Dodecad + German_Dodecad + Kent_1000 Genomes @ 1.794402

lukaszM
02-06-2018, 02:12 PM
how do these two population groupings match up with others you've seen for yourself? I find that if the primary population showed a German or two listing this would be darn near exact for me.

There are much worse Dodecad results for me. This is quite good.

mother results
1 West_European 39.38
2 East_European 31.08
3 Mediterranean 19.22
4 West_Asian 6.97
5 Southwest_Asian 1.62
6 South_Asian 1
7 Northwest_African 0.45
8 Northeast_Asian 0.28

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 7.51
2 Slovenian (Xing) 9.23
3 Polish (Dodecad) 13.43
4 Mixed_Slav (Dodecad) 13.82
5 German (Dodecad) 17.75
6 Balkans (Dodecad) 18.01
7 Russian (Dodecad) 19.23
8 FIN (1000Genomes) 19.67
9 Finnish (Dodecad) 20.91
10 Romanians_14 (Behar) 22.67
11 Russian (HGDP) 22.93
12 N._European (Xing) 22.96
13 CEU (HapMap) 23.05
14 Argyll (1000 Genomes) 23.25
15 Orcadian (HGDP) 24.15
16 Orkney (1000 Genomes) 24.3
17 Belorussian (Behar) 25.04
18 Lithuanians (Behar) 29.02
19 Swedish (Dodecad) 29.56
20 French (Dodecad) 29.73

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 76.1% Slovenian (Xing) + 23.9% Lithuanians (Behar) @ 1.39
2 77.6% Slovenian (Xing) + 22.4% Lithuanian (Dodecad) @ 1.48
3 62.7% Mixed_Slav (Dodecad) + 37.3% CEU (HapMap) @ 2.05
4 62.6% Mixed_Slav (Dodecad) + 37.4% N._European (Xing) @ 2.09
5 59.7% Slovenian (Xing) + 40.3% Polish (Dodecad) @ 2.27
6 68.9% Mixed_Slav (Dodecad) + 31.1% French (HGDP) @ 2.48
7 63% Mixed_Slav (Dodecad) + 37% Argyll (1000 Genomes) @ 2.55
8 63.9% Mixed_Slav (Dodecad) + 36.1% Orcadian (HGDP) @ 2.63
9 68.3% Slovenian (Xing) + 31.7% Russian (Dodecad) @ 2.65
10 60.6% Slovenian (Xing) + 39.4% Mixed_Slav (Dodecad) @ 2.67
11 74.7% Hungarians (Behar) + 25.3% Finnish (Dodecad) @ 2.68
12 64% Mixed_Slav (Dodecad) + 36% Orkney (1000 Genomes) @ 2.69
13 61.3% Russian (Dodecad) + 38.7% French (HGDP) @ 2.7
14 56.4% Mixed_Slav (Dodecad) + 43.6% German (Dodecad) @ 2.71
15 68.7% Mixed_Slav (Dodecad) + 31.3% Mixed_Germanic (Dodecad) @ 2.82
16 69.8% Mixed_Slav (Dodecad) + 30.2% Dutch (Dodecad) @ 2.85
17 52.2% N._European (Xing) + 47.8% Belorussian (Behar) @ 2.93
18 63.5% Polish (Dodecad) + 36.5% N._European (Xing) @ 3.03
19 74.1% Slovenian (Xing) + 25.9% Belorussian (Behar) @ 3.09
20 72.3% Slovenian (Xing) + 27.7% Russian (HGDP) @

Aldric
02-06-2018, 02:21 PM
# Population Percent
1 West_European 52.68
2 Mediterranean 27.36
3 East_European 8.82
4 West_Asian 7.9
5 Southwest_Asian 1.69
6 Northeast_Asian 0.78
7 Northwest_African 0.43
8 South_Asian 0.16
9 Palaeo_African 0.12
10 Neo_African 0.06

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 3.1
2 Orcadian (HGDP) 4.73
3 N._European (Xing) 4.82
4 Orkney (1000 Genomes) 5.07
5 Argyll (1000 Genomes) 5.26
6 French (HGDP) 7.5
7 French (Dodecad) 7.96
8 Mixed_Germanic (Dodecad) 8.86
9 German (Dodecad) 8.89
10 Dutch (Dodecad) 9.52
11 Kent (1000 Genomes) 11.59
12 British_Isles (Dodecad) 13.48
13 British (Dodecad) 13.49
14 Cornwall (1000 Genomes) 14.01
15 Irish (Dodecad) 16.5
16 Slovenian (Xing) 17.26
17 Swedish (Dodecad) 18.01
18 Norwegian (Dodecad) 18.39
19 French_Basque (HGDP) 19.21
20 Hungarians (Behar) 21.36

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 60.5% Swedish (Dodecad) + 39.5% North_Italian (HGDP) @ 1.11
2 61.4% N._European (Xing) + 38.6% French (HGDP) @ 1.27
3 56.6% Norwegian (Dodecad) + 43.4% N_Italian (Dodecad) @ 1.34
4 72.7% CEU (HapMap) + 27.3% French (HGDP) @ 1.38
5 82.8% N._European (Xing) + 17.2% Spaniards (Behar) @ 1.4
6 57.1% Swedish (Dodecad) + 42.9% N_Italian (Dodecad) @ 1.47
7 87.1% Argyll (1000 Genomes) + 12.9% Sardinian (HGDP) @ 1.59
8 86.1% Orkney (1000 Genomes) + 13.9% O_Italian (Dodecad) @ 1.6
9 83.7% N._European (Xing) + 16.3% Spanish (Dodecad) @ 1.61
10 83.8% N._European (Xing) + 16.2% IBS (1000Genomes) @ 1.62
11 86.9% Orkney (1000 Genomes) + 13.1% Tuscan (HGDP) @ 1.63
12 84.8% Orcadian (HGDP) + 15.2% Tuscan (Henn) @ 1.69
13 83.8% Orkney (1000 Genomes) + 16.2% TSI (HapMap) @ 1.7
14 87.1% Orcadian (HGDP) + 12.9% O_Italian (Dodecad) @ 1.7
15 59.5% Argyll (1000 Genomes) + 40.5% French (HGDP) @ 1.72
16 84.9% Orcadian (HGDP) + 15.1% TSI (HapMap) @ 1.74
17 83.4% Orkney (1000 Genomes) + 16.6% N_Italian (Dodecad) @ 1.74
18 88.2% Orkney (1000 Genomes) + 11.8% C_Italian (Dodecad) @ 1.77
19 81.7% Argyll (1000 Genomes) + 18.3% Spaniards (Behar) @ 1.78
20 87.9% Orcadian (HGDP) + 12.1% Tuscan (HGDP) @ 1.79

wilhelmhalys
02-06-2018, 02:36 PM
Admix Results (sorted):

# Population Percent
1 West_European 39.79
2 Mediterranean 26.42
3 East_European 18.16
4 West_Asian 6.47
5 Southwest_Asian 3.59
6 East_African 2.07
7 South_Asian 1.73


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Slovenian_Xing @ 6.695775
2 Hungarians_Behar @ 9.627071
3 German_Dodecad @ 14.043674
4 CEU_HapMap @ 16.214540
5 N._European_Xing @ 16.812088
6 Argyll_1000 Genomes @ 17.873333
7 Orcadian_HGDP @ 18.398214
8 Orkney_1000 Genomes @ 18.704863
9 French_Dodecad @ 19.806124
10 Balkans_Dodecad @ 19.846939
11 French_HGDP @ 20.467796
12 Romanians_14_Behar @ 21.891281
13 Tuscan_Henn @ 23.572903
14 Tuscan_Xing @ 23.661985
15 N_Italian_Dodecad @ 24.071516
16 TSI_HapMap @ 24.258158
17 Mixed_Germanic_Dodecad @ 24.705887
18 Portuguese_Dodecad @ 25.167324
19 Dutch_Dodecad @ 26.012238
20 Spaniards_Behar @ 27.716309

Using 2 populations approximation:
1 50% Balkans_Dodecad +50% N._European_Xing @ 4.956295


Using 3 populations approximation:
1 50% French_Dodecad +25% Lithuanian_Dodecad +25% Tuscan_Xing @ 3.594049


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++
1 French_Basque_HGDP + Lithuanian_Dodecad + Norwegian_Dodecad + Sephardic_Jews_Behar @ 2.943278
2 French_Basque_HGDP + Lithuanians_Behar + Sephardic_Jews_Behar + Swedish_Dodecad @ 3.023172
3 Ashkenazi_Dodecad + Lithuanians_Behar + Norwegian_Dodecad + Spanish_Dodecad @ 3.035962
4 Ashkenazy_Jews_Behar + Lithuanians_Behar + Norwegian_Dodecad + Spanish_Dodecad @ 3.060643
5 French_Basque_HGDP + Lithuanian_Dodecad + Sephardic_Jews_Behar + Swedish_Dodecad @ 3.066837
6 Ashkenazy_Jews_Behar + French_Basque_HGDP + Lithuanians_Behar + N._European_Xing @ 3.095088
7 Ashkenazi_Dodecad + IBS_1000Genomes + Lithuanians_Behar + Norwegian_Dodecad @ 3.101071
8 Ashkenazy_Jews_Behar + IBS_1000Genomes + Lithuanians_Behar + Norwegian_Dodecad @ 3.105884
9 French_Basque_HGDP + Lithuanians_Behar + Norwegian_Dodecad + Sephardic_Jews_Behar @ 3.157392
10 FIN_1000Genomes + French_Basque_HGDP + Morocco_Jews_Behar + Polish_Dodecad @ 3.161675
11 Ashkenazi_Dodecad + Lithuanians_Behar + Norwegian_Dodecad + Spaniards_Behar @ 3.175282
12 Ashkenazi_Dodecad + Lithuanian_Dodecad + Norwegian_Dodecad + Spanish_Dodecad @ 3.179610
13 Belorussian_Behar + Portuguese_Dodecad + Swedish_Dodecad + Tuscan_Xing @ 3.200798
14 Ashkenazy_Jews_Behar + Lithuanians_Behar + Norwegian_Dodecad + Spaniards_Behar @ 3.206907
15 Ashkenazy_Jews_Behar + French_Basque_HGDP + Lithuanian_Dodecad + N._European_Xing @ 3.213815
16 Ashkenazy_Jews_Behar + Belorussian_Behar + Norwegian_Dodecad + Spaniards_Behar @ 3.214851
17 Ashkenazy_Jews_Behar + Irish_Dodecad + Lithuanian_Dodecad + Spanish_Dodecad @ 3.246778
18 Ashkenazy_Jews_Behar + Belorussian_Behar + French_Basque_HGDP + Swedish_Dodecad @ 3.247245
19 Ashkenazy_Jews_Behar + French_Basque_HGDP + Lithuanians_Behar + Orkney_1000 Genomes @ 3.260723
20 Ashkenazy_Jews_Behar + British_Isles_Dodecad + Lithuanian_Dodecad + Spanish_Dodecad @ 3.264133

lukaszM
02-06-2018, 10:07 PM
And father results

Admix Results (sorted):

# Population Percent
1 West_European 40.40
2 East_European 33.51
3 Mediterranean 17.99
4 West_Asian 6.02


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Hungarians_Behar @ 11.100888
2 Polish_Dodecad @ 12.699450
3 Slovenian_Xing @ 13.106114
4 Mixed_Slav_Dodecad @ 13.339344
5 Russian_Dodecad @ 18.955778
6 FIN_1000Genomes @ 20.095751
7 Finnish_Dodecad @ 20.372597
8 German_Dodecad @ 21.090921
9 Balkans_Dodecad @ 22.315344
10 Russian_HGDP @ 22.735153
11 Belorussian_Behar @ 25.662958
12 N._European_Xing @ 27.113310
13 CEU_HapMap @ 27.226643
14 Argyll_1000 Genomes @ 27.271641
15 Romanians_14_Behar @ 27.828472
16 Orcadian_HGDP @ 28.250570
17 Orkney_1000 Genomes @ 28.394905
18 Lithuanians_Behar @ 29.399057
19 Lithuanian_Dodecad @ 32.242081
20 Chuvashs_16_Behar @ 32.335354

Using 2 populations approximation:
1 50% Belorussian_Behar +50% N._European_Xing @ 1.913155


Using 3 populations approximation:
1 50% Belorussian_Behar +25% Cornwall_1000 Genomes +25% Slovenian_Xing @ 1.439326


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++++
1 Hungarians_Behar + Lithuanians_Behar + Mixed_Germanic_Dodecad + Mixed_Slav_Dodecad @ 0.911614
2 Lithuanians_Behar + Mixed_Slav_Dodecad + Orcadian_HGDP + Slovenian_Xing @ 1.008023
3 Lithuanians_Behar + Mixed_Slav_Dodecad + Orkney_1000 Genomes + Slovenian_Xing @ 1.032801
4 Kent_1000 Genomes + Mixed_Slav_Dodecad + Mixed_Slav_Dodecad + Mixed_Slav_Dodecad @ 1.077494
5 CEU_HapMap + Lithuanians_Behar + Mixed_Slav_Dodecad + Slovenian_Xing @ 1.092134
6 Dutch_Dodecad + Hungarians_Behar + Lithuanians_Behar + Mixed_Slav_Dodecad @ 1.093876
7 Lithuanians_Behar + Mixed_Slav_Dodecad + Argyll_1000 Genomes + Slovenian_Xing @ 1.107767
8 Dutch_Dodecad + Mixed_Slav_Dodecad + Mixed_Slav_Dodecad + Polish_Dodecad @ 1.187459
9 Belorussian_Behar + Hungarians_Behar + Kent_1000 Genomes + Russian_Dodecad @ 1.202398
10 Balkans_Dodecad + Irish_Dodecad + Lithuanian_Dodecad + Polish_Dodecad @ 1.204029
11 Kent_1000 Genomes + Mixed_Slav_Dodecad + Mixed_Slav_Dodecad + Polish_Dodecad @ 1.205925
12 Balkans_Dodecad + Irish_Dodecad + Lithuanians_Behar + Mixed_Slav_Dodecad @ 1.206685
13 Belorussian_Behar + British_Isles_Dodecad + Hungarians_Behar + Russian_Dodecad @ 1.252431
14 Hungarians_Behar + Lithuanians_Behar + Mixed_Germanic_Dodecad + Polish_Dodecad @ 1.254023
15 Dutch_Dodecad + Hungarians_Behar + Lithuanian_Dodecad + Mixed_Slav_Dodecad @ 1.259957
16 Cornwall_1000 Genomes + Mixed_Slav_Dodecad + Mixed_Slav_Dodecad + Mixed_Slav_Dodecad @ 1.266358
17 Balkans_Dodecad + Irish_Dodecad + Lithuanians_Behar + Polish_Dodecad @ 1.266838
18 Lithuanians_Behar + Polish_Dodecad + Argyll_1000 Genomes + Slovenian_Xing @ 1.273443
19 Dutch_Dodecad + Mixed_Slav_Dodecad + Mixed_Slav_Dodecad + Mixed_Slav_Dodecad @ 1.276321
20 British_Dodecad + Mixed_Slav_Dodecad + Mixed_Slav_Dodecad + Mixed_Slav_Dodecad @ 1.281129

JerryS.
02-07-2018, 01:28 AM
# Population Percent
1 West_European 52.68
2 Mediterranean 27.36
3 East_European 8.82
4 West_Asian 7.9
5 Southwest_Asian 1.69
6 Northeast_Asian 0.78
7 Northwest_African 0.43
8 South_Asian 0.16
9 Palaeo_African 0.12
10 Neo_African 0.06

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 3.1
2 Orcadian (HGDP) 4.73
3 N._European (Xing) 4.82
4 Orkney (1000 Genomes) 5.07
5 Argyll (1000 Genomes) 5.26
6 French (HGDP) 7.5
7 French (Dodecad) 7.96
8 Mixed_Germanic (Dodecad) 8.86
9 German (Dodecad) 8.89
10 Dutch (Dodecad) 9.52
11 Kent (1000 Genomes) 11.59
12 British_Isles (Dodecad) 13.48
13 British (Dodecad) 13.49
14 Cornwall (1000 Genomes) 14.01
15 Irish (Dodecad) 16.5
16 Slovenian (Xing) 17.26
17 Swedish (Dodecad) 18.01
18 Norwegian (Dodecad) 18.39
19 French_Basque (HGDP) 19.21
20 Hungarians (Behar) 21.36

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 60.5% Swedish (Dodecad) + 39.5% North_Italian (HGDP) @ 1.11
2 61.4% N._European (Xing) + 38.6% French (HGDP) @ 1.27
3 56.6% Norwegian (Dodecad) + 43.4% N_Italian (Dodecad) @ 1.34
4 72.7% CEU (HapMap) + 27.3% French (HGDP) @ 1.38
5 82.8% N._European (Xing) + 17.2% Spaniards (Behar) @ 1.4
6 57.1% Swedish (Dodecad) + 42.9% N_Italian (Dodecad) @ 1.47
7 87.1% Argyll (1000 Genomes) + 12.9% Sardinian (HGDP) @ 1.59
8 86.1% Orkney (1000 Genomes) + 13.9% O_Italian (Dodecad) @ 1.6
9 83.7% N._European (Xing) + 16.3% Spanish (Dodecad) @ 1.61
10 83.8% N._European (Xing) + 16.2% IBS (1000Genomes) @ 1.62
11 86.9% Orkney (1000 Genomes) + 13.1% Tuscan (HGDP) @ 1.63
12 84.8% Orcadian (HGDP) + 15.2% Tuscan (Henn) @ 1.69
13 83.8% Orkney (1000 Genomes) + 16.2% TSI (HapMap) @ 1.7
14 87.1% Orcadian (HGDP) + 12.9% O_Italian (Dodecad) @ 1.7
15 59.5% Argyll (1000 Genomes) + 40.5% French (HGDP) @ 1.72
16 84.9% Orcadian (HGDP) + 15.1% TSI (HapMap) @ 1.74
17 83.4% Orkney (1000 Genomes) + 16.6% N_Italian (Dodecad) @ 1.74
18 88.2% Orkney (1000 Genomes) + 11.8% C_Italian (Dodecad) @ 1.77
19 81.7% Argyll (1000 Genomes) + 18.3% Spaniards (Behar) @ 1.78
20 87.9% Orcadian (HGDP) + 12.1% Tuscan (HGDP) @ 1.79

your primary being Scottish regions seems reasonable, but what's with the considerable pull to the north Mediterranean?

Vestri
02-07-2018, 09:25 AM
Admix Results (sorted):

# Population Percent
1 West_European 53.15
2 Mediterranean 24.84
3 East_European 10.82
4 West_Asian 7.99
5 Southwest_Asian 1.64


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 CEU_HapMap @ 1.741522
2 N._European_Xing @ 2.482356
3 Argyll_1000 Genomes @ 3.287536
4 Orcadian_HGDP @ 3.575955
5 Orkney_1000 Genomes @ 3.872207
6 German_Dodecad @ 6.902936
7 Mixed_Germanic_Dodecad @ 9.258810
8 Dutch_Dodecad @ 10.554661
9 French_HGDP @ 11.461567
10 French_Dodecad @ 11.882736
11 Kent_1000 Genomes @ 12.931873
12 British_Isles_Dodecad @ 14.820288
13 British_Dodecad @ 15.020090
14 Cornwall_1000 Genomes @ 15.690042
15 Swedish_Dodecad @ 17.634314
16 Slovenian_Xing @ 17.746649
17 Irish_Dodecad @ 18.040281
18 Norwegian_Dodecad @ 18.655575
19 Hungarians_Behar @ 22.465387
20 French_Basque_HGDP @ 24.192513

Using 2 populations approximation:
1 50% CEU_HapMap +50% N._European_Xing @ 1.352796


Using 3 populations approximation:
1 50% Swedish_Dodecad +25% Tuscan_HGDP +25% Argyll_1000 Genomes @ 1.080547


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++++
1 Balkans_Dodecad + French_HGDP + Irish_Dodecad + Norwegian_Dodecad @ 0.678862
2 Balkans_Dodecad + British_Dodecad + CEU_HapMap + Irish_Dodecad @ 0.819227
3 Balkans_Dodecad + British_Isles_Dodecad + CEU_HapMap + Irish_Dodecad @ 0.900125
4 Balkans_Dodecad + CEU_HapMap + Cornwall_1000 Genomes + Irish_Dodecad @ 0.936264
5 French_HGDP + German_Dodecad + Irish_Dodecad + Slovenian_Xing @ 0.949948
6 Balkans_Dodecad + British_Dodecad + British_Dodecad + Orkney_1000 Genomes @ 0.994998
7 Balkans_Dodecad + British_Dodecad + Irish_Dodecad + Orcadian_HGDP @ 1.028034
8 Balkans_Dodecad + British_Dodecad + Irish_Dodecad + N._European_Xing @ 1.029023
9 Balkans_Dodecad + British_Dodecad + British_Isles_Dodecad + Orkney_1000 Genomes @ 1.034633
10 Balkans_Dodecad + British_Isles_Dodecad + Cornwall_1000 Genomes + Orkney_1000 Genomes @ 1.035850
11 FIN_1000Genomes + Kent_1000 Genomes + Mixed_Germanic_Dodecad + N_Italian_Dodecad @ 1.040769
12 German_Dodecad + Norwegian_Dodecad + Swedish_Dodecad + Tuscan_HGDP @ 1.040984
13 Balkans_Dodecad + Irish_Dodecad + Kent_1000 Genomes + Orkney_1000 Genomes @ 1.046980
14 Balkans_Dodecad + British_Dodecad + British_Dodecad + Orcadian_HGDP @ 1.047589
15 Balkans_Dodecad + British_Dodecad + Cornwall_1000 Genomes + Orkney_1000 Genomes @ 1.050115
16 Balkans_Dodecad + British_Dodecad + Irish_Dodecad + Orkney_1000 Genomes @ 1.073074
17 Swedish_Dodecad + Swedish_Dodecad + Tuscan_HGDP + Argyll_1000 Genomes @ 1.080547
18 Balkans_Dodecad + British_Isles_Dodecad + Irish_Dodecad + N._European_Xing @ 1.091388
19 Balkans_Dodecad + British_Dodecad + British_Dodecad + N._European_Xing @ 1.092276
20 Balkans_Dodecad + Cornwall_1000 Genomes + French_HGDP + Norwegian_Dodecad @ 1.096560

vasyl
02-07-2018, 05:08 PM
Dodekad good, like dodekad


# Population Percent
1 West_European 38.28
2 East_European 37.02
3 Mediterranean 15.08
4 West_Asian 6.38
5 South_Asian 1.67
6 Northeast_Asian 1.38
7 Northwest_African 0.19

Single Population Sharing:

# Population (source) Distance
1 Mixed_Slav (Dodecad) 8.27
2 Polish (Dodecad) 8.38
3 Russian (Dodecad) 12.85
4 Hungarians (Behar) 13.73
5 Slovenian (Xing) 15.92
6 Russian (HGDP) 16.42
7 Finnish (Dodecad) 17.16
8 FIN (1000Genomes) 19.43
9 Belorussian (Behar) 19.47
10 Balkans (Dodecad) 21.61
11 Lithuanians (Behar) 22.63
12 German (Dodecad) 23.37
13 Lithuanian (Dodecad) 25.14
14 Romanians_14 (Behar) 26.76
15 Chuvashs_16 (Behar) 27.56
16 N._European (Xing) 28.76
17 Argyll (1000 Genomes) 28.9
18 CEU (HapMap) 29.05
19 Orcadian (HGDP) 29.87
20 Orkney (1000 Genomes) 29.98

CrazyDude
02-13-2018, 10:06 PM
Admix Results (sorted):

# Population Percent
1 West_European 39.45
2 Mediterranean 27.60
3 East_European 15.54
4 West_Asian 14.06
5 Northwest_African 2.18


Finished reading population data. 227 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Slovenian_Xing 9.398467
2 Hungarians_Behar 12.875288
3 German_Dodecad 16.445444
4 CEU_HapMap 16.780043
5 N._European_Xing 17.640491
6 Argyll_1000 Genomes 18.279675
7 Orcadian_HGDP 19.008327
8 Tuscan_Xing 19.243820
9 Orkney_1000 Genomes 19.425570
10 Tuscan_Henn 19.545536
11 TSI_HapMap 19.571795
12 French_HGDP 19.664446
13 Balkans_Dodecad 19.716410
14 French_Dodecad 19.830269
15 Romanians_14_Behar 20.007412
16 N_Italian_Dodecad 20.939772
17 Mixed_Germanic_Dodecad 24.039999
18 Portuguese_Dodecad 24.646908
19 O_Italian_Dodecad 24.757494
20 Dutch_Dodecad 25.908533

Using 2 populations approximation:
1 50% Mixed_Germanic_Dodecad +50% Romanians_14_Behar 3.601447


Using 3 populations approximation:
1 50% French_Basque_HGDP +25% Russian_Dodecad +25% Urkarah_Xing 3.063344


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++
1 French_Basque_HGDP + French_Basque_HGDP + Russian_Dodecad + Urkarah_Xing 3.063344
2 French_Basque_HGDP + French_Dodecad + Polish_Dodecad + Urkarah_Xing 3.063401
3 French_Basque_HGDP + French_Dodecad + Mixed_Slav_Dodecad + Urkarah_Xing 3.096434
4 Mixed_Germanic_Dodecad + Romanians_14_Behar + Romanians_14_Behar + Argyll_1000 Genomes 3.165347
5 French_Basque_HGDP + French_Basque_HGDP + Russian_HGDP + Urkarah_Xing 3.171613
6 French_HGDP + French_Basque_HGDP + Polish_Dodecad + Urkarah_Xing 3.204899
7 French_HGDP + French_Basque_HGDP + Mixed_Slav_Dodecad + Urkarah_Xing 3.322630
8 Mixed_Germanic_Dodecad + Romanians_14_Behar + Romanians_14_Behar + N._European_Xing 3.324105
9 French_Dodecad + Polish_Dodecad + Spaniards_Behar + Urkarah_Xing 3.334299
10 Greek_Dodecad + Romanians_14_Behar + Swedish_Dodecad + Argyll_1000 Genomes 3.358236
11 CEU_HapMap + Mixed_Germanic_Dodecad + Romanians_14_Behar + Romanians_14_Behar 3.366585
12 Balkans_Dodecad + Greek_Dodecad + Swedish_Dodecad + Argyll_1000 Genomes 3.390945
13 Mixed_Germanic_Dodecad + Orcadian_HGDP + Romanians_14_Behar + Romanians_14_Behar 3.394458
14 French_Dodecad + Polish_Dodecad + Spanish_Dodecad + Urkarah_Xing 3.414867
15 Mixed_Germanic_Dodecad + Orkney_1000 Genomes + Romanians_14_Behar + Romanians_14_Behar 3.416610
16 French_HGDP + Polish_Dodecad + Spaniards_Behar + Urkarah_Xing 3.422083
17 Orcadian_HGDP + Polish_Dodecad + Spaniards_Behar + Stalskoe_Xing 3.431664
18 French_HGDP + Polish_Dodecad + Spanish_Dodecad + Urkarah_Xing 3.434688
19 Belorussian_Behar + French_HGDP + French_Basque_HGDP + Urkarah_Xing 3.435958
20 Greek_Dodecad + Kent_1000 Genomes + Slovenian_Xing + Slovenian_Xing 3.436887

JerryS.
02-13-2018, 10:07 PM
# Population Percent
1 West_European 48.52
2 Mediterranean 26.61
3 East_European 13.91
4 West_Asian 6.81
5 Southwest_Asian 3.99
6 East_African 0.16

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 6.22
2 German (Dodecad) 6.57
3 N._European (Xing) 7.07
4 Argyll (1000 Genomes) 8.08
5 Orcadian (HGDP) 8.23
6 Orkney (1000 Genomes) 8.53
7 French (Dodecad) 11.53
8 Slovenian (Xing) 11.72
9 French (HGDP) 11.87
10 Mixed_Germanic (Dodecad) 13.85
11 Dutch (Dodecad) 14.86
12 Hungarians (Behar) 15.68
13 Kent (1000 Genomes) 17
14 British_Isles (Dodecad) 18.64
15 British (Dodecad) 18.8
16 Cornwall (1000 Genomes) 19.43
17 Swedish (Dodecad) 19.89
18 Norwegian (Dodecad) 21.31
19 Irish (Dodecad) 21.52
20 Portuguese (Dodecad) 22.12

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 84.3% German (Dodecad) + 15.7% Sardinian (HGDP) @ 1.98
2 78.9% German (Dodecad) + 21.1% N_Italian (Dodecad) @ 2.3
3 83.4% German (Dodecad) + 16.6% Tuscan (HGDP) @ 2.4
4 81.7% German (Dodecad) + 18.3% North_Italian (HGDP) @ 2.42
5 82.5% German (Dodecad) + 17.5% O_Italian (Dodecad) @ 2.51
6 79.7% German (Dodecad) + 20.3% TSI (HapMap) @ 2.69
7 85% German (Dodecad) + 15% C_Italian (Dodecad) @ 2.73
8 80.4% German (Dodecad) + 19.6% IBS (1000Genomes) @ 2.89
9 86.9% German (Dodecad) + 13.1% S_Italian_Sicilian (Dodecad) @ 2.91
10 87.3% German (Dodecad) + 12.7% Sicilian (Dodecad) @ 2.92
11 78.9% German (Dodecad) + 21.1% Portuguese (Dodecad) @ 2.94
12 88.3% German (Dodecad) + 11.7% Sephardic_Jews (Behar) @ 2.94
13 80.5% German (Dodecad) + 19.5% Spanish (Dodecad) @ 3
14 82.5% CEU (HapMap) + 17.5% Balkans (Dodecad) @ 3.04
15 78.1% French (HGDP) + 21.9% Russian (HGDP) @ 3.05
16 87.9% German (Dodecad) + 12.1% S_Italian (Dodecad) @ 3.06
17 80% German (Dodecad) + 20% Spaniards (Behar) @ 3.08
18 81.3% French (HGDP) + 18.7% Lithuanian (Dodecad) @ 3.08
19 80.5% French (HGDP) + 19.5% Lithuanians (Behar) @ 3.16
20 58% British (Dodecad) + 42% Balkans (Dodecad) @ 3.18

I'm going to guess that your southern French regional flag (along the Mediterranean) explains your scattered minor ethnicity ranging from south Italian to Spanish to Portuguese to the Balkans to the Baltic..... mine is a bit similar to yours but Scottish regions (not German) is the primary, and my minor Italian is consistent. of course that CEU in mine could reflect the Scottish/English/German overlap?

JerryS.
02-13-2018, 10:25 PM
# Population Percent
1 West_European 52.68
2 Mediterranean 27.36
3 East_European 8.82
4 West_Asian 7.9
5 Southwest_Asian 1.69
6 Northeast_Asian 0.78
7 Northwest_African 0.43
8 South_Asian 0.16
9 Palaeo_African 0.12
10 Neo_African 0.06

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 3.1
2 Orcadian (HGDP) 4.73
3 N._European (Xing) 4.82
4 Orkney (1000 Genomes) 5.07
5 Argyll (1000 Genomes) 5.26
6 French (HGDP) 7.5
7 French (Dodecad) 7.96
8 Mixed_Germanic (Dodecad) 8.86
9 German (Dodecad) 8.89
10 Dutch (Dodecad) 9.52
11 Kent (1000 Genomes) 11.59
12 British_Isles (Dodecad) 13.48
13 British (Dodecad) 13.49
14 Cornwall (1000 Genomes) 14.01
15 Irish (Dodecad) 16.5
16 Slovenian (Xing) 17.26
17 Swedish (Dodecad) 18.01
18 Norwegian (Dodecad) 18.39
19 French_Basque (HGDP) 19.21
20 Hungarians (Behar) 21.36

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 60.5% Swedish (Dodecad) + 39.5% North_Italian (HGDP) @ 1.11
2 61.4% N._European (Xing) + 38.6% French (HGDP) @ 1.27
3 56.6% Norwegian (Dodecad) + 43.4% N_Italian (Dodecad) @ 1.34
4 72.7% CEU (HapMap) + 27.3% French (HGDP) @ 1.38
5 82.8% N._European (Xing) + 17.2% Spaniards (Behar) @ 1.4
6 57.1% Swedish (Dodecad) + 42.9% N_Italian (Dodecad) @ 1.47
7 87.1% Argyll (1000 Genomes) + 12.9% Sardinian (HGDP) @ 1.59
8 86.1% Orkney (1000 Genomes) + 13.9% O_Italian (Dodecad) @ 1.6
9 83.7% N._European (Xing) + 16.3% Spanish (Dodecad) @ 1.61
10 83.8% N._European (Xing) + 16.2% IBS (1000Genomes) @ 1.62
11 86.9% Orkney (1000 Genomes) + 13.1% Tuscan (HGDP) @ 1.63
12 84.8% Orcadian (HGDP) + 15.2% Tuscan (Henn) @ 1.69
13 83.8% Orkney (1000 Genomes) + 16.2% TSI (HapMap) @ 1.7
14 87.1% Orcadian (HGDP) + 12.9% O_Italian (Dodecad) @ 1.7
15 59.5% Argyll (1000 Genomes) + 40.5% French (HGDP) @ 1.72
16 84.9% Orcadian (HGDP) + 15.1% TSI (HapMap) @ 1.74
17 83.4% Orkney (1000 Genomes) + 16.6% N_Italian (Dodecad) @ 1.74
18 88.2% Orkney (1000 Genomes) + 11.8% C_Italian (Dodecad) @ 1.77
19 81.7% Argyll (1000 Genomes) + 18.3% Spaniards (Behar) @ 1.78
20 87.9% Orcadian (HGDP) + 12.1% Tuscan (HGDP) @ 1.79

just looking at your flags.... what would account for your minor ethnicity to pull so hard to Spain/France/N. Italy? I realize that S.E. France and N.W. Italy share a common border and find it reasonable to believe they share common DNA, but the Spain thing I don't get.

Aldric
02-13-2018, 10:52 PM
your primary being Scottish regions seems reasonable, but what's with the considerable pull to the north Mediterranean?

I would say possibly genetic overlap(s) between these European countries is the mostly sensible thing I can think of... Eurogenes k15 in particular shows that my French ancestry has a southern pull commonest among Basques and Northern Spaniards (that is understandable since this region in particular has a lot of genetic overlap)...

K15:
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 74.1% Orcadian + 25.9% Southwest_French @ 1.95
2 88.6% Southeast_English + 11.4% French_Basque @ 2.01
3 79.3% Irish + 20.7% Spanish_Cantabria @ 2.03
4 76.9% West_Scottish + 23.1% Spanish_Cantabria @ 2.08
5 75.5% Orcadian + 24.5% Spanish_Aragon @ 2.13
6 81.1% Irish + 18.9% Spanish_Aragon @ 2.19
7 91.8% Southwest_English + 8.2% French_Basque @ 2.19
8 78.7% West_Scottish + 21.3% Spanish_Aragon @ 2.2
9 80.8% Irish + 19.2% Spanish_Castilla_La_Mancha @ 2.21
10 78.5% West_Scottish + 21.5% Spanish_Castilla_La_Mancha @ 2.25
11 75.4% Orcadian + 24.6% Spanish_Castilla_La_Mancha @ 2.32
12 87.5% Southeast_English + 12.5% Spanish_Aragon @ 2.32
13 86.4% Southeast_English + 13.6% Spanish_Cantabria @ 2.33
14 79% Orcadian + 21% French_Basque @ 2.36
15 77.8% West_Scottish + 22.2% Southwest_French @ 2.38
16 73.9% Orcadian + 26.1% Spanish_Cantabria @ 2.38
17 87.6% Southeast_English + 12.4% Spanish_Castilla_La_Mancha @ 2.41
18 87% Southeast_English + 13% Southwest_French @ 2.41
19 75.6% Orcadian + 24.4% Spanish_Valencia @ 2.44
20 80.4% Irish + 19.6% Southwest_French @ 2.45

Using 2 populations approximation:
1 50% Southwest_English +50% Southwest_English @ 3.402273


Using 3 populations approximation:
1 50% Irish +25% Orcadian +25% Spanish_Cantabria @ 1.936638


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++
1 Irish + Orcadian + Orcadian + Southwest_French @ 1.864682
2 Irish + Irish + Orcadian + Spanish_Cantabria @ 1.936638
3 Irish + Orcadian + Orcadian + Spanish_Aragon @ 1.957822
4 Orcadian + Orcadian + Southwest_French + West_Scottish @ 1.961639
5 Irish + Orcadian + Spanish_Cantabria + West_Scottish @ 1.964434
6 Irish + Orcadian + Orcadian + Spanish_Cantabria @ 1.985191
7 Orcadian + Orcadian + Spanish_Aragon + West_Scottish @ 2.061483
8 Orcadian + Spanish_Cantabria + West_Scottish + West_Scottish @ 2.067798
9 Orcadian + Orcadian + Orcadian + Southwest_French @ 2.09235510 Irish + Orcadian + Orcadian + Spanish_Castilla_La_Mancha @ 2.105760
11 Orcadian + Orcadian + Spanish_Cantabria + West_Scottish @ 2.160044
12 French_Basque + Orcadian + Orcadian + Swedish @ 2.175061
13 Irish + Orcadian + Spanish_Aragon + West_Scottish @ 2.194532
14 Orcadian + Spanish_Aragon + West_Scottish + West_Scottish @ 2.207424
15 French_Basque + North_Dutch + Orcadian + West_Norwegian @ 2.232980
16 French_Basque + North_Dutch + North_Dutch + Orcadian @ 2.233196
17 Orcadian + Orcadian + Spanish_Castilla_La_Mancha + West_Scottish @ 2.240972
18 Irish + Irish + Orcadian + Spanish_Aragon @ 2.244953
19 Orcadian + Orcadian + Southeast_English + Southwest_French @ 2.247144
20 Irish + Orcadian + Southwest_French + West_Scottish @ 2.256258

etc.


just looking at your flags.... what would account for your minor ethnicity to pull so hard to Spain/France/N. Italy? I realize that S.E. France and N.W. Italy share a common border and find it reasonable to believe they share common DNA, but the Spain thing I don't get.

I would say the French ancestry pulls towards the Southwestern cline of Europe... so its falls in line with its Southwestern European genetics samples... namely, Iberians and Basques. :-P

SaltyShanker
02-13-2018, 11:54 PM
yeah my mothers father is from languedoc roussillon :) and im not sure what the CEU means haha

JerryS.
02-13-2018, 11:55 PM
yeah my mothers father is from languedoc roussillon :) and im not sure what the CEU means haha

That explains it quite well.


Central European (Utah). supposedly a population sample from people in Utah claiming only Central European ancestry.

SaltyShanker
02-14-2018, 12:01 AM
Ohhhh ! interesting , thats probably why its my highest match considering im mostly swiss german and palatine german

sammygene
02-15-2018, 12:33 AM
Mine

Population
East_European 11.21
West_European 51.92
Mediterranean 25.21
Neo_African 0.15
West_Asian 7.68
South_Asian 2.39
Northeast_Asian 0.30
Southeast_Asian -
East_African -
Southwest_Asian 0.75
Northwest_African 0.12
Palaeo_African 0.23

Brothers

Population
East_European 8.83
West_European 53.65
Mediterranean 26.39
Neo_African 0.98
West_Asian 9.11
South_Asian -
Northeast_Asian -
Southeast_Asian 0.25
East_African -
Southwest_Asian 0.75
Northwest_African -
Palaeo_African -

Grandma's

Population
East_European 12.04
West_European 55.51
Mediterranean 23.22
Neo_African 0.31
West_Asian 5.38
South_Asian 1.95
Northeast_Asian 0.25
Southeast_Asian -
East_African -
Southwest_Asian -
Northwest_African 1.35
Palaeo_African -

Leto
04-10-2018, 02:12 PM
Dodecad V3 Oracle results:

Admix Results (sorted):

# Population Percent
1 West_European 38.28
2 East_European 32.52
3 Mediterranean 15.15
4 West_Asian 6.14
5 Northeast_Asian 4.79
6 Southwest_Asian 1.83
7 South_Asian 0.68
8 Southeast_Asian 0.62

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 12.04
2 Mixed_Slav (Dodecad) 12.28
3 Polish (Dodecad) 12.83
4 Slovenian (Xing) 13.37
5 Russian (Dodecad) 16.05
6 Finnish (Dodecad) 17.19
7 FIN (1000Genomes) 17.85
8 Russian (HGDP) 18.67
9 German (Dodecad) 20.84
10 Balkans (Dodecad) 20.85
11 Belorussian (Behar) 23.51
12 Romanians_14 (Behar) 25.42
13 N._European (Xing) 25.82
14 Argyll (1000 Genomes) 26.2
15 CEU (HapMap) 26.28
16 Chuvashs_16 (Behar) 26.48
17 Lithuanians (Behar) 26.81
18 Orcadian (HGDP) 27.22
19 Orkney (1000 Genomes) 27.31
20 Lithuanian (Dodecad) 29.26

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 59.7% Finnish (Dodecad) + 40.3% Romanians_14 (Behar) @ 1.39
2 64.5% Russian (HGDP) + 35.5% French (HGDP) @ 1.6
3 54.9% Finnish (Dodecad) + 45.1% Balkans (Dodecad) @ 1.99
4 71.6% Finnish (Dodecad) + 28.4% Greek (Dodecad) @ 2.51
5 58.6% Russian (HGDP) + 41.4% CEU (HapMap) @ 3.12
6 58.6% Slovenian (Xing) + 41.4% Russian (HGDP) @ 3.12
7 58.3% Russian (HGDP) + 41.7% N._European (Xing) @ 3.57
8 73.9% Finnish (Dodecad) + 26.1% Sicilian (Dodecad) @ 3.61
9 74.7% Finnish (Dodecad) + 25.3% S_Italian (Dodecad) @ 3.82
10 59.6% Russian (HGDP) + 40.4% Orcadian (HGDP) @ 3.93
11 58.7% Russian (HGDP) + 41.3% Argyll (1000 Genomes) @ 3.95
12 52.9% Russian (HGDP) + 47.1% German (Dodecad) @ 4.06
13 59.7% Russian (HGDP) + 40.3% Orkney (1000 Genomes) @ 4.07
14 67.5% Russian (Dodecad) + 32.5% Mixed_Germanic (Dodecad) @ 4.07
15 68.6% Russian (Dodecad) + 31.4% Dutch (Dodecad) @ 4.12
16 70% Russian (HGDP) + 30% French_Basque (HGDP) @ 4.2
17 73.8% Finnish (Dodecad) + 26.2% S_Italian_Sicilian (Dodecad) @ 4.36
18 69.8% Russian (Dodecad) + 30.2% Kent (1000 Genomes) @ 4.42
19 59.8% Hungarians (Behar) + 40.2% Finnish (Dodecad) @ 4.5
20 75.2% Finnish (Dodecad) + 24.8% Sephardic_Jews (Behar) @ 4.52

Lei_VA
04-23-2018, 05:22 AM
Admix Results (sorted):

# Population Percent
1 West_European 38.72
2 Mediterranean 32.41
3 West_Asian 12.91
4 East_European 6.2
5 Southwest_Asian 5.33
6 Northwest_African 2.5
7 Southeast_Asian 0.81
8 East_African 0.59
9 Palaeo_African 0.53

Single Population Sharing:

# Population (source) Distance
1 Tuscan (Henn) 10.37
2 TSI (HapMap) 10.6
3 Tuscan (Xing) 10.69
4 N_Italian (Dodecad) 12.61
5 French (HGDP) 13.73
6 French (Dodecad) 14.03
7 Portuguese (Dodecad) 15.03
8 O_Italian (Dodecad) 15.93
9 CEU (HapMap) 17
10 North_Italian (HGDP) 17.25
11 Slovenian (Xing) 17.42
12 Spaniards (Behar) 17.45
13 IBS (1000Genomes) 17.45
14 N._European (Xing) 17.88
15 Spanish (Dodecad) 17.97
16 Tuscan (HGDP) 18.84
17 Argyll (1000 Genomes) 19.07
18 Orcadian (HGDP) 19.12
19 Orkney (1000 Genomes) 19.47
20 German (Dodecad) 19.7

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance

1 53.4% Sicilian (Dodecad) + 46.6% Norwegian (Dodecad) 2
2 62.1% Orkney (1000 Genomes) + 37.9% Sephardic_Jews (Behar) 2.14
3 62.5% Orcadian (HGDP) + 37.5% Sephardic_Jews (Behar) 2.14
4 65.3% CEU (HapMap) + 34.7% Sephardic_Jews (Behar) 2.32
5 63.7% Tuscan (Henn) + 36.3% N._European (Xing) 2.35
6 62.5% Tuscan (Henn) + 37.5% CEU (HapMap) 2.36
7 65.7% Tuscan (Henn) + 34.3% Orkney (1000 Genomes) 2.39
8 65.3% Tuscan (Henn) + 34.7% Orcadian (HGDP) 2.44
9 63% Tuscan (Xing) + 37% N._European (Xing) 2.46
10 66.7% O_Italian (Dodecad) + 33.3% Swedish (Dodecad) 2.47
11 65.3% Tuscan (Henn) + 34.7% Argyll (1000 Genomes) 2.48
12 53% O_Italian (Dodecad) + 47% N._European (Xing) 2.52
13 60.1% French (HGDP) + 39.9% Ashkenazy_Jews (Behar) 2.66
14 63.3% TSI (HapMap) + 36.7% N._European (Xing) 2.71
15 60.2% C_Italian (Dodecad) + 39.8% Norwegian (Dodecad) 2.72
16 61.4% N._European (Xing) + 38.6% Sicilian (Dodecad) 2.73
17 54.6% N._European (Xing) + 45.4% C_Italian (Dodecad) 2.75
18 67.2% O_Italian (Dodecad) + 32.8% Norwegian (Dodecad) 2.76
19 75.7% Tuscan (Xing) + 24.3% Norwegian (Dodecad) 2.76
20 59.9% N._European (Xing) + 40.1% S_Italian_Sicilian (Dodecad) 2.78

misanthropy
04-23-2018, 05:27 AM
Admix Results (sorted):

# Population Percent
1 South_Asian 55.3
2 West_Asian 10.55
3 Southeast_Asian 7.54
4 Southwest_Asian 5.78
5 West_European 5.5
6 East_European 4.57
7 Mediterranean 4.2
8 Northeast_Asian 2.67
9 East_African 1.89
10 Northwest_African 0.81
11 Palaeo_African 0.77
12 Neo_African 0.42

Single Population Sharing:

# Population (source) Distance
1 AP_Brahmin (Xing) 5.4
2 TN_Brahmin (Xing) 5.69
3 Meghawal (Reich) 6.01
4 Srivastava (Reich) 6.03
5 Cochin_Jews (Behar) 6.42
6 Tharu (Reich) 7.44
7 Vaish (Reich) 8.4
8 Lodi (Reich) 9.02
9 Indian (Dodecad) 9.31
10 Velama (Reich) 9.4
11 INS (SGVP) 10.08
12 Hallaki (Reich) 11.17
13 Naidu (Reich) 11.67
14 Kamsali (Reich) 14.33
15 Satnami (Reich) 14.43
16 GIH (HapMap) 14.72
17 Bhil (Reich) 14.78
18 Vysya (Reich) 15.05
19 Kurumba (Reich) 15.51
20 Sindhi (HGDP) 15.8

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 86.7% Lodi (Reich) + 13.3% Yemenese (Behar) @ 2.77
2 87.4% Lodi (Reich) + 12.6% Syrians (Behar) @ 3.01
3 87.7% Lodi (Reich) + 12.3% Jordanians_19 (Behar) @ 3.04
4 87.7% Lodi (Reich) + 12.3% Palestinian (HGDP) @ 3.08
5 78.7% Bhil (Reich) + 21.3% Iranians (Behar) @ 3.13
6 88.1% Lodi (Reich) + 11.9% Bedouin (HGDP) @ 3.15
7 76.6% Madiga (Reich) + 23.4% Kurd (Dodecad) @ 3.17
8 87.8% Lodi (Reich) + 12.2% Egyptans (Behar) @ 3.21
9 74.4% Cochin_Jews (Behar) + 25.6% Madiga (Reich) @ 3.23
10 87.4% Lodi (Reich) + 12.6% Egypt (Henn) @ 3.24
11 87.8% Lodi (Reich) + 12.2% Lebanese (Behar) @ 3.3
12 77.3% AP_Madiga (Xing) + 22.7% Stalskoe (Xing) @ 3.33
13 60.5% Cochin_Jews (Behar) + 39.5% Lodi (Reich) @ 3.38
14 54.8% Cochin_Jews (Behar) + 45.2% Tharu (Reich) @ 3.38
15 77.4% Madiga (Reich) + 22.6% Uzbekistan_Jews (Behar) @ 3.42
16 76.8% Madiga (Reich) + 23.2% Iranians (Behar) @ 3.43
17 79.3% Bhil (Reich) + 20.7% Iranian (Dodecad) @ 3.44
18 87.7% Lodi (Reich) + 12.3% Georgia_Jews (Behar) @ 3.45
19 86.5% Lodi (Reich) + 13.5% Iranians (Behar) @ 3.46
20 70% Bhil (Reich) + 30% Makrani (HGDP) @ 3.5

okarinaofsteiner
04-28-2018, 06:28 PM
Original GEDmatch results (not Genesis)



Dodecad V3 Oracle results:

The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.

Kit *******

Admix Results (sorted):

# Population Percent
1 Southeast_Asian 76.03
2 Northeast_Asian 20.84
3 West_Asian 1.13
4 South_Asian 1.09
5 Neo_African 0.48
6 Palaeo_African 0.44

Single Population Sharing:

# Population (source) Distance
1 Aonaga (Reich) 2.41
2 Japanese (HGDP) 4.06
3 Korean (Dodecad) 5.08
4 Chinese (Dodecad) 5.33
5 Nysha (Reich) 5.55
6 Naxi (HGDP) 6.05
7 Yizu (HGDP) 6.57
8 Tu (HGDP) 7.14
9 JPT (HapMap) 8.51
10 Japanese (Dodecad) 8.63
11 Han (HGDP) 10.52
12 CHB (HapMap) 12.6
13 She (HGDP) 12.66
14 Tujia (HGDP) 12.73
15 Vietnamese (Xing) 15.17
16 Xibo (HGDP) 15.75
17 CHD (HapMap) 16.74
18 Miaozu (HGDP) 16.95
19 Khmer_Cambodian (Xing) 19.12
20 CHS (SGVP) 19.24

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 77.1% CHB (HapMap) + 22.9% Buryat (Xing) 1.36
2 81.1% Aonaga (Reich) + 18.9% JPT (HapMap) 1.41
3 79.7% CHB (HapMap) + 20.3% Buryat (Rasmussen) 1.44
4 86.6% Aonaga (Reich) + 13.4% CHB (HapMap) 1.45
5 84.4% Aonaga (Reich) + 15.6% Han (HGDP) 1.45
6 80.2% Han (HGDP) + 19.8% Buryat (Xing) 1.46
7 72.8% Aonaga (Reich) + 27.2% Chinese (Dodecad) 1.47
8 89.7% Aonaga (Reich) + 10.3% CHD (HapMap) 1.48
9 86.9% Aonaga (Reich) + 13.1% Tujia (HGDP) 1.48
10 86.9% Aonaga (Reich) + 13.1% She (HGDP) 1.49
11 88.5% Yizu (HGDP) + 11.5% Buryat (Rasmussen) 1.49
12 91% Aonaga (Reich) + 9% CHS (SGVP) 1.5
13 82.5% Han (HGDP) + 17.5% Buryat (Rasmussen) 1.5
14 83.5% Japanese (HGDP) + 16.5% Khmer_Cambodian (Xing) 1.51
15 90% Aonaga (Reich) + 10% Miaozu (HGDP) 1.51
16 72% CHS (SGVP) + 28% Buryat (Rasmussen) 1.51
17 74.7% CHD (HapMap) + 25.3% Buryat (Rasmussen) 1.52
18 85% Japanese (HGDP) + 15% Cambodians (HGDP) 1.52
19 77.4% Aonaga (Reich) + 22.6% Yizu (HGDP) 1.52
20 86.8% Yizu (HGDP) + 13.2% Buryat (Xing) 1.55