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BalkanKiwi
05-03-2015, 10:29 AM
I find some of these lessor used calculators quite interesting in regards to populations displayed. My secondary Mixed Mode populations are quite interesting when compared to those used in the 4 Oracle.

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 68.65
2 Caucasus_Gedrosia 14.38
3 Southern 14.29
4 South_Asian 1.61
5 Australasian 0.82
6 Amerindian 0.14
7 East_Asian 0.08
8 Siberian 0.03

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 2.08
2 Mixed_Germanic (Dodecad) 5.28
3 French (HGDP) 5.36
4 Dutch (Dodecad) 6
5 German (Dodecad) 6.63
6 French (Dodecad) 6.79
7 CEU30 (1000Genomes) 7.23
8 Cornwall (1000 Genomes) 7.59
9 Kent (1000 Genomes) 7.73
10 British (Dodecad) 7.83
11 Ukranians (Yunusbayev) 8.33
12 British_Isles (Dodecad) 8.84
13 Argyll (1000 Genomes) 9.16
14 Irish (Dodecad) 9.54
15 Orcadian (HGDP) 9.75
16 Orkney (1000 Genomes) 10.19
17 Polish (Dodecad) 10.78
18 Belorussian (Behar) 12.5
19 Cataluna (1000 Genomes) 12.63
20 Russian_B (Behar) 13.15

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 89.3% British (Dodecad) + 10.7% Uzbekistan_Jews @ 0.92
2 92.6% Mixed_Germanic (Dodecad) + 7.4% Iranians (Behar) @ 0.94
3 89.6% Cornwall (1000 Genomes) + 10.4% Iranians (Behar) @ 0.96
4 75% Dutch (Dodecad) + 25% Romanians (Behar) @ 0.96
5 73.1% German (Dodecad) + 26.9% Romanians (Behar) @ 0.99
6 69.6% British (Dodecad) + 30.4% Romanians (Behar) @ 1.02
7 90.8% CEU30 (1000Genomes) + 9.2% Iraq_Jews (Behar) @ 1.02
8 90.2% British (Dodecad) + 9.8% Iranian_Jews (Behar) @ 1.04
9 92.4% Mixed_Germanic (Dodecad) + 7.6% Iranian (Dodecad) @ 1.05
10 89.7% British (Dodecad) + 10.3% Azerbaijan_Jews @ 1.05
11 71.3% CEU30 (1000Genomes) + 28.7% Romanians (Behar) @ 1.05
12 63.7% Orkney (1000 Genomes) + 36.3% Romanians (Behar) @ 1.05
13 90.9% CEU30 (1000Genomes) + 9.1% Iranian_Jews (Behar) @ 1.06
14 64.8% Orcadian (HGDP) + 35.2% Romanians (Behar) @ 1.07
15 90% CEU30 (1000Genomes) + 10% Uzbekistan_Jews @ 1.08
16 89.7% British (Dodecad) + 10.3% Assyrian (Dodecad) @ 1.08
17 92.6% Mixed_Germanic (Dodecad) + 7.4% Kurd (Dodecad) @ 1.08
18 90.4% CEU30 (1000Genomes) + 9.6% Assyrian (Dodecad) @ 1.09
19 89.6% Cornwall (1000 Genomes) + 10.4% Uzbekistan_Jews @ 1.09
20 89.6% Cornwall (1000 Genomes) + 10.4% Kurd (Dodecad) @ 1.09

Using 2 populations approximation:
1 50% Hungarians +50% Hungarians @ 2.170748


Using 3 populations approximation:
1 50% Dutch +25% CEU30 +25% Romanians @ 0.798708


Using 4 populations approximation:
1 Mixed_Germanic + Dutch + Dutch + Romanians @ 0.784181
2 Dutch + Dutch + CEU30 + Romanians @ 0.798708
3 Mixed_Germanic + Dutch + CEU30 + Romanians @ 0.805332
4 German + Mixed_Germanic + Dutch + Romanians @ 0.810971
5 German + Mixed_Germanic + CEU30 + Romanians @ 0.812480
6 Dutch + Dutch + Dutch + Romanians @ 0.819024
7 British + Mixed_Germanic + Dutch + Romanians @ 0.830387
8 German + German + Mixed_Germanic + Romanians @ 0.832068
9 German + Dutch + Dutch + Romanians @ 0.835775
10 Mixed_Germanic + Mixed_Germanic + Romanians + Argyll @ 0.849483
11 Dutch + Dutch + Romanians + Cornwall @ 0.862811
12 British + Dutch + Dutch + Romanians @ 0.878423
13 Mixed_Germanic + Dutch + Romanians + Cornwall @ 0.883017
14 German + Mixed_Germanic + Mixed_Germanic + Romanians @ 0.897057
15 German + Dutch + CEU30 + Romanians @ 0.903189
16 German + German + Dutch + Romanians @ 0.930989
17 Dutch + Dutch + Romanians + Kent @ 0.945070
18 Mixed_Germanic + Dutch + Romanians + Kent @ 0.953642
19 Mixed_Germanic + Mixed_Germanic + CEU30 + Romanians @ 0.956351
20 German + Mixed_Germanic + Romanians + Cornwall @ 0.959288

Wulf Warrior
05-03-2015, 10:41 AM
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 72.49
2 Caucasus_Gedrosia 12.59
3 Southern 12.53
4 Siberian 1.02


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic @ 1.730099
2 Dutch @ 2.163575
3 German @ 2.740424
4 CEU30 @ 3.463271
5 Cornwall @ 3.997397
6 Kent @ 4.043127
7 British @ 4.141861
8 Hungarians @ 5.023643
9 British_Isles @ 5.230673
10 Argyll @ 5.595792
11 Irish @ 5.941169
12 Ukranians @ 6.163229
13 Orcadian @ 6.212293
14 Orkney @ 6.668859
15 French @ 6.977670
16 Polish @ 7.557415
17 French @ 8.137307
18 Belorussian @ 9.516523
19 Norwegian @ 10.504659
20 Russian_B @ 10.561511

Using 2 populations approximation:
1 50% British_Isles +50% Hungarians @ 0.000000


Using 3 populations approximation:
1 50% British_Isles +25% Hungarians +25% Hungarians @ 0.000000


Using 4 populations approximation:
1 British + Swedish + Lithuanian + Tuscan @ 0.000000
2 British + Swedish + Lithuanian + TSI30 @ 0.000000
3 British + Norwegian + Lithuanian + Tuscan @ 0.000000
4 British + Norwegian + Lithuanian + TSI30 @ 0.000000
5 British + British_Isles + Hungarians + Hungarians @ 0.000000
6 Irish + Belorussian + Baleares + Ukranians @ 0.000000
7 Polish + Dutch + French + Hungarians @ 0.000000
8 Polish + French + French + Ukranians @ 0.000000
9 Polish + French + CEU30 + Hungarians @ 0.000000
10 Polish + North_Italian + Orcadian + Belorussian @ 0.000000
11 Polish + North_Italian + Belorussian + Orkney @ 0.000000
12 French + Dutch + Belorussian + Hungarians @ 0.000000
13 French + Hungarians + Orkney + Ukranians @ 0.000000
14 Swedish + Mixed_Germanic + N_Italian + Belorussian @ 0.000000
15 Swedish + British_Isles + Lithuanian + Tuscan @ 0.000000
16 Swedish + Dutch + N_Italian + Belorussian @ 0.000000
17 Swedish + Lithuanian + Tuscan + Kent @ 0.000000
18 Swedish + Lithuanian + Tuscan + Cornwall @ 0.000000
19 Swedish + Lithuanian + CEU30 + TSI30 @ 0.000000
20 Swedish + Lithuanian + TSI30 + Kent @ 0.000000

BalkanKiwi
05-03-2015, 10:47 AM
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 72.49
2 Caucasus_Gedrosia 12.59
3 Southern 12.53
4 Siberian 1.02


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic @ 1.730099
2 Dutch @ 2.163575
3 German @ 2.740424
4 CEU30 @ 3.463271
5 Cornwall @ 3.997397
6 Kent @ 4.043127
7 British @ 4.141861
8 Hungarians @ 5.023643
9 British_Isles @ 5.230673
10 Argyll @ 5.595792
11 Irish @ 5.941169
12 Ukranians @ 6.163229
13 Orcadian @ 6.212293
14 Orkney @ 6.668859
15 French @ 6.977670
16 Polish @ 7.557415
17 French @ 8.137307
18 Belorussian @ 9.516523
19 Norwegian @ 10.504659
20 Russian_B @ 10.561511

Using 2 populations approximation:
1 50% British_Isles +50% Hungarians @ 0.000000


Using 3 populations approximation:
1 50% British_Isles +25% Hungarians +25% Hungarians @ 0.000000


Using 4 populations approximation:
1 British + Swedish + Lithuanian + Tuscan @ 0.000000
2 British + Swedish + Lithuanian + TSI30 @ 0.000000
3 British + Norwegian + Lithuanian + Tuscan @ 0.000000
4 British + Norwegian + Lithuanian + TSI30 @ 0.000000
5 British + British_Isles + Hungarians + Hungarians @ 0.000000
6 Irish + Belorussian + Baleares + Ukranians @ 0.000000
7 Polish + Dutch + French + Hungarians @ 0.000000
8 Polish + French + French + Ukranians @ 0.000000
9 Polish + French + CEU30 + Hungarians @ 0.000000
10 Polish + North_Italian + Orcadian + Belorussian @ 0.000000
11 Polish + North_Italian + Belorussian + Orkney @ 0.000000
12 French + Dutch + Belorussian + Hungarians @ 0.000000
13 French + Hungarians + Orkney + Ukranians @ 0.000000
14 Swedish + Mixed_Germanic + N_Italian + Belorussian @ 0.000000
15 Swedish + British_Isles + Lithuanian + Tuscan @ 0.000000
16 Swedish + Dutch + N_Italian + Belorussian @ 0.000000
17 Swedish + Lithuanian + Tuscan + Kent @ 0.000000
18 Swedish + Lithuanian + Tuscan + Cornwall @ 0.000000
19 Swedish + Lithuanian + CEU30 + TSI30 @ 0.000000
20 Swedish + Lithuanian + TSI30 + Kent @ 0.000000

That's the first time I've seen someone get a distance of 0 for every result.

MonkeyDLuffy
05-03-2015, 11:47 AM
Mine (Punjabi tarkhan/ramgarhia)


# Population Percent
1 South_Asian 41.35
2 Caucasus_Gedrosia 39.34
3 Atlantic_Baltic 12.26
4 Siberian 2.99
5 Southern 2.95
6 Amerindian 1.11

anglesqueville
05-03-2015, 02:25 PM
Mine: (100% normand)
1.03% Amerindian
0.00% East_Asian
0.09% African
71.61% Atlantic_Baltic
0.68% Australasian
0.08% Siberian
11.10% Caucasus_Gedrosia
15.40% Southern
0.00% South_Asian

One week ago I would not have paid attention to the 1,03% amerindian. Now I see only it. I don't post the oracles, as they are depressingly familiar: in gaussian, 3/4 Kent + 1/4 southern (french or N-Italian, don't recall).

randwulf
05-03-2015, 05:48 PM
I am listing only the Oracle results that clearly are ahead of the pack by FST distance.

Me:

# Population Percent
1 Atlantic_Baltic 69.19
2 Southern 17.57
3 Caucasus_Gedrosia 10.92
4 Siberian 1.33
5 South_Asian 0.67
6 African 0.25
7 Australasian 0.05

Single Population Sharing:

# Population (source) Distance
1 French (HGDP) 1.43

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 56.5% Cataluna (1000 Genomes) + 43.5% Ukranians (Yunusbayev) @ 0.47
2 51.6% Valencia (1000 Genomes) + 48.4% Ukranians (Yunusbayev) @ 0.61
3 95.4% French (HGDP) + 4.6% Chuvashs (Behar) @ 0.64

Least-squares method.

Using 1 population approximation:
1 French @ 1.403869

Using 2 populations approximation:
1 50% Valencia +50% Ukranians @ 0.559975


Using 3 populations approximation:
1 50% Swedish +25% TSI30 +25% Aragon @ 0.430645


Using 4 populations approximation:
1 Dutch + Sardinian + Ukranians + Ukranians @ 0.000000

Dad (German American with some mystery East Asian mix):

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 66.99
2 Southern 16.35
3 Caucasus_Gedrosia 13.46
4 Siberian 1.56
5 Australasian 0.75
6 Amerindian 0.62
7 African 0.25

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 3.11
2 French (HGDP) 4.12

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 74.1% Norwegian (Dodecad) + 25.9% Sephardic_Jews (Behar) @ 0.75
2 70.5% Norwegian (Dodecad) + 29.5% Ashkenazi (Dodecad) @ 0.83
3 69.7% Norwegian (Dodecad) + 30.3% Sicilian (Dodecad) @ 0.85

Least-squares method.

Using 1 population approximation:
1 Hungarians @ 3.290658
2 French @ 4.460093

Using 2 populations approximation:
1 50% North_Italian +50% Belorussian @ 1.147675


Using 3 populations approximation:
1 50% French +25% Bulgarian +25% Russian_B @ 0.744391


Using 4 populations approximation:
1 C_Italian + Lithuanians + Russian_B + Spaniards @ 0.564339
2 C_Italian + Lithuanians + Russian_B + Valencia @ 0.593539
3 German + Russian_B + Spaniards + Bulgarians @ 0.607562
4 Spanish + C_Italian + Lithuanians + Russian_B @ 0.607580
5 Bulgarian + Russian_B + Spaniards + Kent @ 0.609628

Mom (Colonial American, mostly English and German):

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 72.59
2 Southern 14.99
3 Caucasus_Gedrosia 10.97
4 South_Asian 1.23
5 Siberian 0.21

Single Population Sharing:

# Population (source) Distance
1 Mixed_Germanic (Dodecad) 2.37
2 Dutch (Dodecad) 3.7

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 79.6% Dutch (Dodecad) + 20.4% Aragon (1000 Genomes) @ 0.52
2 90.1% Dutch (Dodecad) + 9.9% Sardinian @ 0.56
3 76.7% Dutch (Dodecad) + 23.3% Cataluna (1000 Genomes) @ 0.57
4 86.1% Mixed_Germanic (Dodecad) + 13.9% Aragon (1000 Genomes) @ 0.59
5 84% Mixed_Germanic (Dodecad) + 16% Cataluna (1000 Genomes) @ 0.6

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic @ 2.520533
2 Dutch @ 3.946036

Using 2 populations approximation:
1 50% French +50% CEU30 @ 0.666574


Using 3 populations approximation:
1 50% Dutch +25% CEU30 +25% Cataluna @ 0.478202


Using 4 populations approximation:
1 Dutch + Dutch + CEU30 + Cataluna @ 0.478202
2 Mixed_Germanic + Dutch + Argyll + Cataluna @ 0.533900
3 Mixed_Germanic + Mixed_Germanic + Argyll + Cataluna @ 0.543686

Helgenes50
05-03-2015, 06:11 PM
Mine ( 4 Norman gps)

I prefer Eurogenes, but this calculator is interesting
My results are close to those of Anglesqueville ( above)


# Population Percent
1 Atlantic_Baltic 71.4
2 Southern 16.89
3 Caucasus_Gedrosia 10.3
4 Amerindian 1.07
5 African 0.33

Tolan
05-03-2015, 06:39 PM
My ancestors are between 100 and 200 kms to the south of my two Norman neighbors.
About 2500 ancestors: 89.6% Brittany (Ille et Vilaine), 10.3% Maine (Mayenne) and 0.3% Normandy (Sud-Manche and Orne).
It shows a little in my results:

Amerindian -
East_Asian -
African -
Atlantic_Baltic 68.25%
Australasian 0.09%
Siberian -
Caucasus_Gedrosia 12.83%
Southern 18.25%
South_Asian 0.58%

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 68.25
2 Southern 18.25
3 Caucasus_Gedrosia 12.83
4 South_Asian 0.58
5 Australasian 0.09

Single Population Sharing:

# Population (source) Distance
1 French (HGDP) 2.17
2 French (Dodecad) 3.43
3 Hungarians (Behar) 4.85
4 Mixed_Germanic (Dodecad) 7.04
5 Dutch (Dodecad) 8.24
6 Cataluna (1000 Genomes) 8.68
7 German (Dodecad) 8.85
8 Cornwall (1000 Genomes) 9.16
9 CEU30 (1000Genomes) 9.27
10 Kent (1000 Genomes) 9.36
11 British (Dodecad) 9.62
12 Valencia (1000 Genomes) 10.48
13 British_Isles (Dodecad) 10.52
14 Spaniards (Behar) 10.76
15 Cantabria (1000 Genomes) 10.77
16 Spanish (Dodecad) 10.81
17 Aragon (1000 Genomes) 11.49
18 Argyll (1000 Genomes) 11.64
19 Irish (Dodecad) 11.7
20 Orcadian (HGDP) 11.85

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 67.1% Mixed_Germanic (Dodecad) + 32.9% North_Italian (HGDP) @ 0.32
2 63.5% Dutch (Dodecad) + 36.5% North_Italian (HGDP) @ 0.46
3 59.3% Cornwall (1000 Genomes) + 40.7% N_Italian (Dodecad) @ 0.52
4 55.1% Irish (Dodecad) + 44.9% North_Italian (HGDP) @ 0.55
5 58.7% Kent (1000 Genomes) + 41.3% N_Italian (Dodecad) @ 0.55
6 65.5% Mixed_Germanic (Dodecad) + 34.5% N_Italian (Dodecad) @ 0.57
7 52.2% Orkney (1000 Genomes) + 47.8% N_Italian (Dodecad) @ 0.58
8 55.9% British_Isles (Dodecad) + 44.1% N_Italian (Dodecad) @ 0.58
9 70% Cornwall (1000 Genomes) + 30% TSI30 (Metspalu) @ 0.6
10 55.2% Argyll (1000 Genomes) + 44.8% North_Italian (HGDP) @ 0.62
11 61.9% German (Dodecad) + 38.1% North_Italian (HGDP) @ 0.63
12 58.1% British (Dodecad) + 41.9% N_Italian (Dodecad) @ 0.64
13 67% British_Isles (Dodecad) + 33% TSI30 (Metspalu) @ 0.66
14 52.9% Orcadian (HGDP) + 47.1% N_Italian (Dodecad) @ 0.68
15 70.9% Cornwall (1000 Genomes) + 29.1% Tuscan (HGDP) @ 0.69
16 53.2% Irish (Dodecad) + 46.8% N_Italian (Dodecad) @ 0.7
17 60.8% CEU30 (1000Genomes) + 39.2% North_Italian (HGDP) @ 0.71
18 54.8% Orcadian (HGDP) + 45.2% North_Italian (HGDP) @ 0.73
19 69.6% Kent (1000 Genomes) + 30.4% TSI30 (Metspalu) @ 0.74
20 67.9% British_Isles (Dodecad) + 32.1% Tuscan (HGDP) @ 0.76

fil
05-03-2015, 07:19 PM
1 South_Asian 50.79
2 Caucasus_Gedrosia 37.24
3 Southern 6.12
4 East_Asian 2.22
5 Australasian 2.03

Least-squares method.

Using 1 population approximation:
1 Cochin_Jews @ 5.495955
2 Brahmins_from_Tamil_Nadu @ 7.776968
3 Indian @ 7.873769
4 Meena @ 9.123140
5 GIH30 @ 9.491214
6 Kshatriya @ 11.246963
7 Meghawal @ 12.234797
8 Bengali @ 12.515326
9 Lambadi @ 12.574231
10 Kurmi @ 12.913998
11 Brahmins_from_Uttar_Pradesh @ 12.976432
12 Tharus @ 13.117763
13 INS30 @ 13.534379
14 Muslim @ 14.849828
15 Dharkars @ 15.829437
16 Bnei_Menashe_Jews @ 16.474920
17 Sindhi @ 17.312685
18 Kanjars @ 18.409880
19 Tamil_Nadu_Scheduled_Caste @ 18.867987
20 Uttar_Pradesh_Scheduled_Caste @ 19.742336

Using 2 populations approximation:
1 50% Balochi +50% Hakkipikki @ 2.310165


Using 3 populations approximation:
1 50% Balochi +25% Paniya +25% Tamil_Nadu_Scheduled_Caste @ 1.535553


Using 4 populations approximation:
1 Balochi + Balochi + Paniya + Tamil_Nadu_Scheduled_Caste @ 1.535553
2 Balochi + Balochi + Paniya + Kurumba @ 1.708148
3 Balochi + Brahui + Paniya + Tamil_Nadu_Scheduled_Caste @ 1.721395
4 Balochi + Brahui + Paniya + Piramalai_Kallars @ 1.745459
5 Balochi + Brahui + Paniya + Kurumba @ 1.755483
6 Balochi + Balochi + Piramalai_Kallars + Pulliyar @ 1.797092
7 Balochi + Balochi + Paniya + Piramalai_Kallars @ 1.850189
8 Brahui + Brahui + Paniya + Piramalai_Kallars @ 1.853380
9 Balochi + Brahui + Piramalai_Kallars + Pulliyar @ 1.939354
10 Balochi + Balochi + Kurumba + Pulliyar @ 1.946589
11 Balochi + Balochi + Pulliyar + Tamil_Nadu_Scheduled_Caste @ 1.966848
12 Brahui + Brahui + Paniya + Kurumba @ 1.967788
13 Balochi + Balochi + Paniya + Dusadh @ 1.982237
14 Balochi + Brahui + Paniya + Dusadh @ 1.983894
15 Brahui + Brahui + Paniya + Tamil_Nadu_Scheduled_Caste @ 2.065062
16 Balochi + Balochi + Dusadh + Pulliyar @ 2.072317
17 Brahui + Cochin_Jews + Bengali + Piramalai_Kallars @ 2.118876
18 Brahui + Cochin_Jews + Chenchus + Meghawal @ 2.134886
19 Balochi + Cochin_Jews + Bengali + Tamil_Nadu_Scheduled_Caste @ 2.152119
20 Brahui + Brahui + Paniya + Dusadh @ 2.155959

Helgenes50
05-03-2015, 07:25 PM
My ancestors are between 100 and 200 kms to the south of my two Norman neighbors.
About 2500 ancestors: 89.6% Brittany (Ille et Vilaine), 10.3% Maine (Mayenne) and 0.3% Normandy (Sud-Manche and Orne).
It shows a little in my results:

Amerindian -
East_Asian -
African -
Atlantic_Baltic 68.25%
Australasian 0.09%
Siberian -
Caucasus_Gedrosia 12.83%
Southern 18.25%
South_Asian 0.58%

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 68.25
2 Southern 18.25
3 Caucasus_Gedrosia 12.83
4 South_Asian 0.58
5 Australasian 0.09

Single Population Sharing:

# Population (source) Distance
1 French (HGDP) 2.17
2 French (Dodecad) 3.43
3 Hungarians (Behar) 4.85
4 Mixed_Germanic (Dodecad) 7.04
5 Dutch (Dodecad) 8.24
6 Cataluna (1000 Genomes) 8.68
7 German (Dodecad) 8.85
8 Cornwall (1000 Genomes) 9.16
9 CEU30 (1000Genomes) 9.27
10 Kent (1000 Genomes) 9.36
11 British (Dodecad) 9.62
12 Valencia (1000 Genomes) 10.48
13 British_Isles (Dodecad) 10.52
14 Spaniards (Behar) 10.76
15 Cantabria (1000 Genomes) 10.77
16 Spanish (Dodecad) 10.81
17 Aragon (1000 Genomes) 11.49
18 Argyll (1000 Genomes) 11.64
19 Irish (Dodecad) 11.7
20 Orcadian (HGDP) 11.85

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 67.1% Mixed_Germanic (Dodecad) + 32.9% North_Italian (HGDP) @ 0.32
2 63.5% Dutch (Dodecad) + 36.5% North_Italian (HGDP) @ 0.46
3 59.3% Cornwall (1000 Genomes) + 40.7% N_Italian (Dodecad) @ 0.52
4 55.1% Irish (Dodecad) + 44.9% North_Italian (HGDP) @ 0.55
5 58.7% Kent (1000 Genomes) + 41.3% N_Italian (Dodecad) @ 0.55
6 65.5% Mixed_Germanic (Dodecad) + 34.5% N_Italian (Dodecad) @ 0.57
7 52.2% Orkney (1000 Genomes) + 47.8% N_Italian (Dodecad) @ 0.58
8 55.9% British_Isles (Dodecad) + 44.1% N_Italian (Dodecad) @ 0.58
9 70% Cornwall (1000 Genomes) + 30% TSI30 (Metspalu) @ 0.6
10 55.2% Argyll (1000 Genomes) + 44.8% North_Italian (HGDP) @ 0.62
11 61.9% German (Dodecad) + 38.1% North_Italian (HGDP) @ 0.63
12 58.1% British (Dodecad) + 41.9% N_Italian (Dodecad) @ 0.64
13 67% British_Isles (Dodecad) + 33% TSI30 (Metspalu) @ 0.66
14 52.9% Orcadian (HGDP) + 47.1% N_Italian (Dodecad) @ 0.68
15 70.9% Cornwall (1000 Genomes) + 29.1% Tuscan (HGDP) @ 0.69
16 53.2% Irish (Dodecad) + 46.8% N_Italian (Dodecad) @ 0.7
17 60.8% CEU30 (1000Genomes) + 39.2% North_Italian (HGDP) @ 0.71
18 54.8% Orcadian (HGDP) + 45.2% North_Italian (HGDP) @ 0.73
19 69.6% Kent (1000 Genomes) + 30.4% TSI30 (Metspalu) @ 0.74
20 67.9% British_Isles (Dodecad) + 32.1% Tuscan (HGDP) @ 0.76


Where this amerindian comes from in the Norman results ?

Idem for my mother ( 100 % Normand) with 1.27 %

Helgenes50
05-03-2015, 07:39 PM
And now, those of my first cousin
half from Lower Brittany and half from Lower Normandy

1 Atlantic_Baltic 74.09
2 Southern 17
3 Caucasus_Gedrosia 8.51
4 Australasian 0.24
5 Amerindian 0.11
6 African 0.06

Her level of Amerindian is lower

SwampThing27
05-03-2015, 08:03 PM
# Population Percent
1 Atlantic_Baltic 69.14
2 Southern 13.92
3 Caucasus_Gedrosia 12.51
4 South_Asian 2.50

Using 1 population approximation:
1 Hungarians @ 3.583173

Using 4 populations approximation:
1 Lithuanian + Lithuanian + Romanians + Canarias @ 1.259684

anglesqueville
05-03-2015, 08:04 PM
There are allways surprises with admixture caculators. With that one my mother gets no 'amerindian' at all, but 'siberian' instead:

0.07% Amerindian
0.00% East_Asian
0.11% African
71.64% Atlantic_Baltic
0.19% Australasian
0.38% Siberian
11.76% Caucasus_Gedrosia
15.82% Southern
0.02% South_Asian

and, as usual, 3/4 Kent + 1/4 North-Italia

ashwinb
05-03-2015, 09:09 PM
# Population Percent
1 South_Asian 55.25
2 Caucasus_Gedrosia 34.49
3 Atlantic_Baltic 5.31
4 Siberian 2.21
5 Southern 1.58

paulgill
05-03-2015, 09:23 PM
World9 4-Ancestors Oracle

Admix Results (sorted):

# Population Percent
1 Caucasus_Gedrosia 42.80
2 South_Asian 36.98
3 Atlantic_Baltic 12.62
4 Southern 4.59
5 Siberian 2.27


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Pathan @ 7.422672
2 Sindhi @ 8.797500
3 Burusho @ 9.807796
4 Brahmins_from_Uttar_Pradesh @ 16.186237
5 Meena @ 16.506189
6 Indian @ 17.459475
7 Bnei_Menashe_Jews @ 17.747152
8 Kshatriya @ 19.270027
9 Cochin_Jews @ 20.061293
10 Brahmins_from_Tamil_Nadu @ 21.245934
11 Balochi @ 22.564966
12 GIH30 @ 23.473665
13 Brahui @ 24.685505
14 Tharus @ 25.485075
15 Kalash @ 25.963699
16 Makrani @ 26.103605
17 Bengali @ 27.475508
18 Tajiks @ 27.838696
19 Brahmins_from_Uttaranchal @ 27.855490
20 Lambadi @ 27.883869

Using 2 populations approximation:
1 50% Lezgins +50% Piramalai_Kallars @ 4.634716


Using 3 populations approximation:
1 50% Pathan +25% Pathan +25% Brahmins_from_Uttar_Pradesh @ 2.464102


Using 4 populations approximation:
1 Pathan + Lezgins + Kshatriya + Tharus @ 1.938922
2 Sindhi + Lezgins + Kshatriya + Kshatriya @ 1.962319
3 Pathan + Lezgins + Kshatriya + Muslim @ 1.990003
4 Pathan + Lezgins + Dharkars + Meena @ 1.992543
5 Pathan + Lezgins + INS30 + Brahmins_from_Uttar_Pradesh @ 1.998155
6 Pathan + Lezgins + Brahmins_from_Tamil_Nadu + Tharus @ 2.037982
7 Pathan + Lezgins + Meena + Muslim @ 2.042119
8 Pathan + Lezgins + Brahmins_from_Uttar_Pradesh + Muslim @ 2.060277
9 Pathan + GIH30 + Lezgins + Kshatriya @ 2.062433
10 Pathan + Lezgins + Brahmins_from_Uttar_Pradesh + Dharkars @ 2.080304
11 Pathan + Lezgins + Dharkars + Kshatriya @ 2.082686
12 Pathan + Lezgins + Kanjars + Meena @ 2.085701
13 Kalash + Chechens + Brahmins_from_Uttar_Pradesh + Chamar @ 2.086836
14 Pathan + Lezgins + INS30 + Kshatriya @ 2.087174
15 Pathan + GIH30 + Lezgins + Tharus @ 2.097094
16 Sindhi + Lezgins + Brahmins_from_Uttar_Pradesh + Tharus @ 2.108212
17 Pathan + Lezgins + Brahmins_from_Uttar_Pradesh + Kanjars @ 2.113837
18 Sindhi + Lezgins + Brahmins_from_Uttar_Pradesh + Kshatriya @ 2.136461
19 Pathan + Lezgins + Brahmins_from_Uttar_Pradesh + Meghawal @ 2.146140
20 Pathan + Lezgins + Brahmins_from_Uttar_Pradesh + Kurmi @ 2.147899

Stephen1986
05-03-2015, 11:19 PM
My brother's Oracle results are quite different to mine.

Myself -


Atlantic_Baltic 77.18%
Southern 11.26%
Caucasus_Gedrosia 9.71%
South_Asian 1.30%
Siberian 0.32%
Amerindian 0.22%

Using 1 population approximation:
1 British_Isles @ 0.751895
2 British @ 1.715851
3 Cornwall @ 1.939382
4 Orkney @ 1.957383
5 Kent @ 1.972795
6 Orcadian @ 2.014891
7 Irish @ 2.288639
8 CEU30 @ 2.430342
9 Argyll @ 3.140043
10 German @ 3.488418
11 Dutch @ 3.965840
12 Mixed_Germanic @ 4.505238
13 Polish @ 5.749953
14 Norwegian @ 5.972309
15 Swedish @ 6.611019
16 Belorussian @ 7.591087
17 Ukranians @ 8.256985
18 Russian_B @ 10.074590
19 French @ 10.686428
20 Hungarians @ 10.738816

Using 2 populations approximation:
1 50% British_Isles +50% British_Isles @ 0.751895


Using 3 populations approximation:
1 50% British_Isles +25% British_Isles +25% British_Isles @ 0.751895


Using 4 populations approximation:
1 British_Isles + British_Isles + British_Isles + British_Isles @ 0.751895
2 British_Isles + British_Isles + British_Isles + Orkney @ 0.837240
3 British_Isles + British_Isles + Orkney + Cornwall @ 0.852505
4 Lithuanian + Orkney + Orkney + Cataluna @ 0.878912
5 British + British_Isles + British_Isles + Orkney @ 0.883861
6 Dutch + Lithuanian + Argyll + Pais_Vasco @ 0.893291
7 Polish + Mixed_Germanic + Lithuanian + Pais_Vasco @ 0.905841
8 British_Isles + British_Isles + Orkney + Kent @ 0.932945
9 British_Isles + British_Isles + British_Isles + Orcadian @ 0.935936
10 Polish + Mixed_Germanic + Lithuanian + French_Basque @ 0.947080
11 Polish + Dutch + Lithuanian + Pais_Vasco @ 0.949720
12 British + British_Isles + British_Isles + British_Isles @ 0.949754
13 Lithuanian + Orcadian + Orkney + Cataluna @ 0.960131
14 Dutch + Lithuanians + Argyll + Pais_Vasco @ 0.961153
15 Swedish + Lithuanian + Argyll + Aragon @ 0.963612
16 British_Isles + British_Isles + British_Isles + Cornwall @ 0.963983
17 Irish + Swedish + Lithuanian + Aragon @ 0.966317
18 Polish + Dutch + Lithuanian + French_Basque @ 0.974459
19 Mixed_Germanic + Lithuanian + Lithuanian + Aragon @ 0.980478
20 Norwegian + British_Isles + Lithuanian + Cataluna @ 0.986045

My brother -


Atlantic_Baltic 73.08%
Southern 12.44%
Caucasus_Gedrosia 11.47%
South_Asian 2.33%
Amerindian 0.56%
Siberian 0.06%
African 0.05%

Using 1 population approximation:
1 Mixed_Germanic @ 1.933415
2 Dutch @ 2.326002
3 CEU30 @ 2.798315
4 German @ 2.906609
5 Cornwall @ 3.303142
6 British @ 3.554456
7 Kent @ 3.578331
8 British_Isles @ 4.491825
9 Argyll @ 5.244771
10 Irish @ 5.430424
11 Orcadian @ 5.554171
12 Orkney @ 5.992414
13 Hungarians @ 6.548599
14 Ukranians @ 7.115651
15 French @ 7.358266
16 Polish @ 7.597687
17 French @ 8.276373
18 Belorussian @ 9.575240
19 Norwegian @ 10.078575
20 Swedish @ 10.382874

Using 2 populations approximation:
1 50% Mixed_Germanic +50% Mixed_Germanic @ 1.933415


Using 3 populations approximation:
1 50% Lithuanian +25% Romanians +25% Pais_Vasco @ 1.526789


Using 4 populations approximation:
1 Lithuanian + Lithuanian + Romanians + Pais_Vasco @ 1.526789
2 Lithuanian + Lithuanian + French_Basque + Romanians @ 1.556643
3 Lithuanian + French_Basque + Lithuanians + Romanians @ 1.650321
4 Lithuanian + Lithuanians + Romanians + Pais_Vasco @ 1.670335
5 Lithuanian + North_Italian + Orcadian + CEU30 @ 1.736697
6 Argyll + Argyll + Cataluna + Ukranians @ 1.758453
7 Lithuanian + North_Italian + CEU30 + Orkney @ 1.768473
8 French + CEU30 + CEU30 + Ukranians @ 1.784546
9 British_Isles + Lithuanian + N_Italian + CEU30 @ 1.785597
10 Lithuanian + North_Italian + CEU30 + Argyll @ 1.790372
11 British_Isles + Lithuanian + North_Italian + CEU30 @ 1.796130
12 Dutch + French + CEU30 + CEU30 @ 1.799731
13 Orcadian + Argyll + Cataluna + Ukranians @ 1.804025
14 CEU30 + CEU30 + CEU30 + Hungarians @ 1.804546
15 Lithuanian + North_Italian + CEU30 + CEU30 @ 1.807298
16 Belorussian + Argyll + Argyll + Galicia @ 1.807542
17 Lithuanian + N_Italian + CEU30 + CEU30 @ 1.808600
18 CEU30 + CEU30 + Hungarians + Cornwall @ 1.811194
19 Irish + Lithuanian + North_Italian + CEU30 @ 1.813355
20 French + CEU30 + CEU30 + CEU30 @ 1.815900

randwulf
05-04-2015, 02:54 AM
My brother's Oracle results are quite different to mine.



It is interesting how the mix of the parent's information works out. I consistently come out a little more "Mediterranean/Southern Europe" than either of my parents. I used the GedMatch tools and saw that in a lot of places I got Mediterranean from both parents, excluding other types of information from those same areas on the chromosomes. It happened so many places that it shows up in pretty much every calculator. I am thinking that may not have happened with my siblings, though they have not been tested.

PureEvil
05-04-2015, 05:38 AM
My results:
Atlantic_Baltic 72.36
Southern 13.07
Caucasus_Gedrosia 11.62
South_Asian 1.89

Using 1 population approximation:
1 Mixed_Germanic @ 1.871664
2 Dutch @ 2.766351
3 German @ 3.419639
4 CEU30 @ 3.524586
5 Cornwall @ 3.926493
6 Kent @ 4.180374
7 British @ 4.200924
8 British_Isles @ 5.242333
9 Hungarians @ 5.668040
10 Argyll @ 6.082507
11 Irish @ 6.272567
12 French @ 6.408523
13 Orcadian @ 6.419629
14 Orkney @ 6.838149
15 Ukranians @ 7.400979
16 French @ 7.417311
17 Polish @ 8.339248
18 Belorussian @ 10.319625
19 Norwegian @ 10.883267
20 Swedish @ 11.227802

Using 2 populations approximation:
1 50% French +50% Argyll @ 1.733262


Using 3 populations approximation:
1 50% Argyll +25% Galicia +25% Ukranians @ 1.217055


Using 4 populations approximation:
1 Lithuanian + French_Basque + Belorussian + Romanians @ 1.200684
2 Argyll + Argyll + Galicia + Ukranians @ 1.217055
3 Polish + Lithuanian + French_Basque + Romanians @ 1.220148
4 Polish + Lithuanian + Romanians + Pais_Vasco @ 1.224314
5 Lithuanian + Belorussian + Romanians + Pais_Vasco @ 1.245501
6 Argyll + Argyll + Castilla_La_Mancha + Ukranians @ 1.263182
7 Irish + Argyll + Galicia + Ukranians @ 1.291564
8 Lithuanian + North_Italian + CEU30 + CEU30 @ 1.294747
9 Polish + French_Basque + Lithuanians + Romanians @ 1.295764
10 CEU30 + Argyll + Cataluna + Ukranians @ 1.296633
11 Orcadian + Argyll + Galicia + Ukranians @ 1.298882
12 Argyll + Argyll + Extremadura + Ukranians @ 1.309602
13 Orcadian + Argyll + Extremadura + Ukranians @ 1.309761
14 Portuguese + Argyll + Argyll + Ukranians @ 1.318881
15 Polish + Lithuanians + Romanians + Pais_Vasco @ 1.319361
16 French_Basque + Belorussian + Lithuanians + Romanians @ 1.320977
17 Lithuanian + Hungarians + Argyll + Extremadura @ 1.321045
18 Polish + Polish + Dutch + Extremadura @ 1.323215
19 Dutch + Argyll + Cataluna + Ukranians @ 1.326566
20 CEU30 + Belorussian + Argyll + Baleares @ 1.326579

Sapporo
05-04-2015, 06:26 AM
World9 Oracle results:

Admix Results (sorted):

# Population Percent
1 Caucasus_Gedrosia 43.18
2 South_Asian 37.44
3 Atlantic_Baltic 12.45
4 Southern 3.52
5 Siberian 2.04
6 Amerindian 1.32
7 African 0.05

Single Population Sharing:

# Population (source) Distance
1 Pathan (HGDP) 6.79
2 Sindhi (HGDP) 7.88
3 Burusho (HGDP) 8.79
4 Brahmins_from_Uttar_Pradesh (Metspalu) 13.86
5 Indian (Dodecad) 14.91
6 Kshatriya (Metspalu) 16.53
7 Bnei_Menashe_Jews 17.31
8 Cochin_Jews (Behar) 17.88
9 Brahmins_from_Tamil_Nadu (Metspalu) 18.23
10 GIH30 (Dodecad) 20.12
11 Balochi (HGDP) 20.46
12 Tharus (Metspalu) 22.01
13 Brahui (HGDP) 22.42
14 Kalash 22.85
15 Makrani 24.22
16 Muslim (Metspalu) 24.94
17 INS30 (SGVP) 25.03
18 Tajiks (Yunusbayev) 25.15
19 Dharkars (Metspalu) 25.84
20 Kanjars (Metspalu) 28.45

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 67.5% Pathan (HGDP) + 32.5% Brahmins_from_Uttar_Pradesh (Metspalu) @ 1.32
2 71.7% Pathan (HGDP) + 28.3% Kshatriya (Metspalu) @ 2.04
3 77.6% Pathan (HGDP) + 22.4% Tharus (Metspalu) @ 2.47
4 80.5% Pathan (HGDP) + 19.5% Dharkars (Metspalu) @ 2.66
5 90.7% Pathan (HGDP) + 9.3% Malayan (Chaubey) @ 2.67
6 90.7% Pathan (HGDP) + 9.3% MALAYAN (Behar) @ 2.67
7 82% Pathan (HGDP) + 18% Kanjars (Metspalu) @ 2.68
8 79.9% Pathan (HGDP) + 20.1% Muslim (Metspalu) @ 2.7
9 86.2% Pathan (HGDP) + 13.8% Chamar (Metspalu) @ 2.84
10 83.1% Pathan (HGDP) + 16.9% Uttar_Pradesh_Scheduled_Caste (Metspalu) @ 2.87
11 70.4% Pathan (HGDP) + 29.6% Indian (Dodecad) @ 2.87
12 90.1% Pathan (HGDP) + 9.9% Paniya (Chaubey) @ 2.9
13 71.4% Indian (Dodecad) + 28.6% Lezgins (Behar) @ 2.92
14 88.4% Pathan (HGDP) + 11.6% SAKILLI @ 2.92
15 88.4% Pathan (HGDP) + 11.6% Sakilli (Chaubey) @ 2.92
16 89.6% Pathan (HGDP) + 10.4% Pulliyar (Metspalu) @ 2.94
17 86.6% Pathan (HGDP) + 13.4% North_Kannadi @ 2.94
18 84% Pathan (HGDP) + 16% Kol (Metspalu) @ 2.97
19 86.6% Pathan (HGDP) + 13.4% Gond (Metspalu) @ 3.02
20 87.1% Pathan (HGDP) + 12.9% Hakkipikki (Metspalu) @ 3.05

anglesqueville
05-04-2015, 08:59 AM
My wife (1/2 north-central french 1/2 german-like):

0.48% Amerindian
0.00% East_Asian
0.00% African
67.31% Atlantic_Baltic
0.04% Australasian
0.29% Siberian
12.04% Caucasus_Gedrosia
19.74% Southern
0.10% South_Asian
Least-squares method.

Using 1 population approximation:
1 French @ 2,559835
2 French_D @ 3,194112
3 Hungarians @ 6,878574
4 Cataluna_1KG @ 7,596553
5 Mixed_Germanic_D @ 9,04993
6 Valencia_1KG @ 9,472176
7 Spaniards @ 9,77537
8 Spanish_D @ 9,853346
9 Cantabria_1KG @ 9,880434
10 Dutch_D @ 10,400361
11 Aragon_1KG @ 10,616164
12 German_D @ 11,002185
13 Cornwall_1KG @ 11,236228
14 Galicia_1KG @ 11,295821
15 Castilla_La_Mancha_1KG @ 11,313878
16 Baleares_1KG @ 11,397181
17 CEU30 @ 11,415182
18 Kent_1KG @ 11,452661
19 Extremadura_1KG @ 11,531253
20 British_D @ 11,737663
250 iterations.

Using 2 populations approximation:
1 North_Italian+Orkney_1KG @ 1,022161
2 North_Italian+Orcadian @ 1,193956
3 British_Isles_D+North_Italian @ 1,198103
4 Irish_D+North_Italian @ 1,268472
5 Dutch_D+Baleares_1KG @ 1,384745
6 British_Isles_D+N_Italian_D @ 1,440909
7 German_D+Baleares_1KG @ 1,447406
8 North_Italian+Kent_1KG @ 1,655782
9 British_D+North_Italian @ 1,674297
10 Hungarians+Cataluna_1KG @ 1,732304
11 N_Italian_D+Orkney_1KG @ 1,749462
12 N_Italian_D+Kent_1KG @ 1,755481
13 North_Italian+Cornwall_1KG @ 1,769895
14 N_Italian_D+Cornwall_1KG @ 1,78014
15 North_Italian+Argyll_1KG @ 1,789714
16 British_D+N_Italian_D @ 1,834154
17 Mixed_Germanic_D+Baleares_1KG @ 1,842696
18 N_Italian_D+Orcadian @ 1,901249
19 CEU30+Baleares_1KG @ 1,982875
20 Irish_D+N_Italian_D @ 2,011
31375 iterations.

Using 3 populations approximation:
1 50% French_D +25% Dutch_D +25% N_Italian_D @ 0,854914
2 50% French +25% Mixed_Germanic_D +25% North_Italian @ 0,855645
3 50% French +25% Dutch_D +25% North_Italian @ 0,874261
4 50% French_D +25% Mixed_Germanic_D +25% N_Italian_D @ 0,886565
5 50% French +25% North_Italian +25% Kent_1KG @ 0,888831
6 50% French +25% German_D +25% North_Italian @ 0,910299
7 50% Kent_1KG +25% N_Italian_D +25% Baleares_1KG @ 0,911499
8 50% French +25% North_Italian +25% Cornwall_1KG @ 0,919557
9 50% French_D +25% German_D +25% N_Italian_D @ 0,939683
10 50% Orkney_1KG +25% Greek_D +25% French_Basque @ 0,941888
11 50% French_D +25% Dutch_D +25% North_Italian @ 0,945893
12 50% Dutch_D +25% N_Italian_D +25% Valencia_1KG @ 0,971621
13 50% Mixed_Germanic_D +25% N_Italian_D +25% Cataluna_1KG @ 0,974016
14 50% French +25% Mixed_Germanic_D +25% N_Italian_D @ 0,989381
15 50% French_D +25% German_D +25% North_Italian @ 0,991522
16 50% German_D +25% O_Italian_D +25% French_Basque @ 0,996191
17 50% Irish_D +25% Tuscan +25% Aragon_1KG @ 0,998527
18 50% Orkney_1KG +25% Greek_D +25% Pais_Vasco_1KG @ 1,001246
19 50% Dutch_D +25% N_Italian_D +25% Spaniards @ 1,006946
20 50% North_Italian +25% British_Isles_D +25% Orkney_1KG @ 1,008669
2723819 iterations.

Using 4 populations approximation:
1 French_D+Dutch_D+French+North_Italian @ 0,816177
2 French_D+Mixed_Germanic_D+N_Italian_D+French @ 0,847973
3 French_D+French_D+Dutch_D+N_Italian_D @ 0,854914
4 Mixed_Germanic_D+French+French+North_Italian @ 0,855645
5 German_D+French_D+French+North_Italian @ 0,861686
6 Dutch_D+French+French+North_Italian @ 0,874261
7 French_D+French_D+Mixed_Germanic_D+N_Italian_D @ 0,886565
8 French+French+North_Italian+Kent_1KG @ 0,888831
9 German_D+French+French+North_Italian @ 0,910299
10 N_Italian_D+Kent_1KG+Kent_1KG+Baleares_1KG @ 0,911499
11 French_D+Mixed_Germanic_D+French+North_Italian @ 0,915105
12 French+French+North_Italian+Cornwall_1KG @ 0,919557
13 French_D+Dutch_D+N_Italian_D+French @ 0,931352
14 Irish_D+Greek_D+French_Basque+Orkney_1KG @ 0,938766
15 German_D+French_D+French_D+N_Italian_D @ 0,939683
16 North_Italian+Kent_1KG+Argyll_1KG+Baleares_1KG @ 0,941348
17 Greek_D+French_Basque+Orkney_1KG+Orkney_1KG @ 0,941888
18 Irish_D+German_D+North_Italian+Baleares_1KG @ 0,943059
19 French_D+French_D+Dutch_D+North_Italian @ 0,945893
20 Irish_D+North_Italian+Kent_1KG+Baleares_1KG @ 0,951861
21 Irish_D+Dutch_D+North_Italian+Baleares_1KG @ 0,952691
22 Greek_D+French_Basque+Orcadian+Orkney_1KG @ 0,970384
23 Dutch_D+Dutch_D+N_Italian_D+Valencia_1KG @ 0,971621
24 Mixed_Germanic_D+Mixed_Germanic_D+N_Italian_D+Cata luna_1KG @ 0,974016
25 German_D+C_Italian_D+French_Basque+Argyll_1KG @ 0,977877
26 British_Isles_D+N_Italian_D+Kent_1KG+Baleares_1KG @ 0,977959
27 Irish_D+N_Italian_D+Kent_1KG+Baleares_1KG @ 0,97943
28 German_D+Dutch_D+O_Italian_D+French_Basque @ 0,979691
29 Dutch_D+North_Italian+Orkney_1KG+Baleares_1KG @ 0,981291
30 N_Italian_D+Kent_1KG+Cornwall_1KG+Baleares_1KG @ 0,98131
31 Mixed_Germanic_D+N_Italian_D+French+French @ 0,989381
32 German_D+French_D+French_D+North_Italian @ 0,991522
33 Mixed_Germanic_D+Dutch_D+N_Italian_D+Valencia_1KG @ 0,992787
34 C_Italian_D+Dutch_D+French_Basque+Argyll_1KG @ 0,994973
35 German_D+German_D+O_Italian_D+French_Basque @ 0,996191
36 North_Italian+Cornwall_1KG+Argyll_1KG+Baleares_1KG @ 0,997494
37 Irish_D+Irish_D+Tuscan+Aragon_1KG @ 0,998527
38 TSI30+Kent_1KG+Argyll_1KG+Cantabria_1KG @ 0,999098
39 TSI30+Orkney_1KG+Kent_1KG+Cataluna_1KG @ 0,999669
40 French_D+French+North_Italian+Kent_1KG @ 1,000169
7082472 iterations.


Gaussian method.
Noise dispersion set to 0,584552

Using 1 population approximation:
1 French_D @ 3,367344
2 French @ 3,407829
3 Mixed_Germanic_D @ 4,349046
4 Cataluna_1KG @ 4,417041
5 North_Italian @ 4,441268
6 N_Italian_D @ 4,511615
7 Baleares_1KG @ 4,663172
8 Dutch_D @ 4,67393
9 Hungarians @ 4,73429
10 Valencia_1KG @ 4,806639
11 Spaniards @ 4,830609
12 Kent_1KG @ 4,833202
13 Cornwall_1KG @ 4,85039
14 German_D @ 5,055507
15 Andalucia_1KG @ 5,150569
16 Spanish_D @ 5,192911
17 Cantabria_1KG @ 5,295131
18 British_D @ 5,301353
19 British_Isles_D @ 5,31111
20 Aragon_1KG @ 5,368114
250 iterations.

Using 2 populations approximation:
1 North_Italian+Kent_1KG @ 2,931053
2 Irish_D+North_Italian @ 3,014135
3 North_Italian+Cornwall_1KG @ 3,020106
4 Dutch_D+North_Italian @ 3,036532
5 British_Isles_D+North_Italian @ 3,070732
6 Mixed_Germanic_D+North_Italian @ 3,091824
7 N_Italian_D+Kent_1KG @ 3,122133
8 North_Italian+Orkney_1KG @ 3,158069
9 North_Italian+Argyll_1KG @ 3,179844
10 German_D+North_Italian @ 3,209101
11 N_Italian_D+Cornwall_1KG @ 3,209363
12 North_Italian+Orcadian @ 3,210713
13 Dutch_D+N_Italian_D @ 3,249104
14 Irish_D+N_Italian_D @ 3,252493
15 British_Isles_D+N_Italian_D @ 3,266016
16 Mixed_Germanic_D+N_Italian_D @ 3,267633
17 British_D+North_Italian @ 3,302157
18 N_Italian_D+Orkney_1KG @ 3,36009
19 French_D+French_D @ 3,367344
20 French_D+North_Italian @ 3,375268
31375 iterations.

Using 3 populations approximation:
1 50% Dutch_D +25% French_Basque +25% TSI30 @ 2,903796
2 50% North_Italian +25% Kent_1KG +25% Kent_1KG @ 2,931053
3 50% North_Italian +25% Irish_D +25% French_Basque @ 2,932322
4 50% Kent_1KG +25% French_Basque +25% TSI30 @ 2,944741
5 50% North_Italian +25% Dutch_D +25% French_Basque @ 2,949206
6 50% North_Italian +25% French_Basque +25% Kent_1KG @ 2,952208
7 50% Mixed_Germanic_D +25% French_Basque +25% TSI30 @ 2,960237
8 50% Dutch_D +25% French_Basque +25% Tuscan @ 2,967766
9 50% North_Italian +25% Irish_D +25% Kent_1KG @ 2,972678
10 50% Dutch_D +25% French_Basque +25% North_Italian @ 2,973915
11 50% North_Italian +25% Kent_1KG +25% Cornwall_1KG @ 2,98183
12 50% North_Italian +25% Dutch_D +25% Kent_1KG @ 2,986168
13 50% North_Italian +25% French_Basque +25% Argyll_1KG @ 2,988962
14 50% Dutch_D +25% TSI30 +25% Pais_Vasco_1KG @ 2,989639
15 50% Kent_1KG +25% French_Basque +25% Tuscan @ 2,99494
16 50% North_Italian +25% British_Isles_D +25% Kent_1KG @ 3,005759
17 50% North_Italian +25% French_Basque +25% Cornwall_1KG @ 3,010966
18 50% N_Italian_D +25% French_Basque +25% Kent_1KG @ 3,011914
19 50% Irish_D +25% North_Italian +25% North_Italian @ 3,014135
20 50% North_Italian +25% Irish_D +25% Cornwall_1KG @ 3,015954
4187989 iterations.

Using 4 populations approximation:
1 Dutch_D+Dutch_D+French_Basque+TSI30 @ 2,903796
2 Dutch_D+French_Basque+TSI30+Kent_1KG @ 2,923604
3 North_Italian+North_Italian+Kent_1KG+Kent_1KG @ 2,931053
4 Irish_D+French_Basque+North_Italian+North_Italian @ 2,932322
5 Mixed_Germanic_D+Dutch_D+French_Basque+TSI30 @ 2,934691
6 French_Basque+TSI30+Kent_1KG+Kent_1KG @ 2,944741
7 Dutch_D+French_Basque+North_Italian+North_Italian @ 2,949206
8 French_Basque+North_Italian+North_Italian+Kent_1KG @ 2,952208
9 Mixed_Germanic_D+French_Basque+TSI30+Kent_1KG @ 2,954898
10 Mixed_Germanic_D+Mixed_Germanic_D+French_Basque+TS I30 @ 2,960237
11 Dutch_D+French_Basque+TSI30+Cornwall_1KG @ 2,966846
12 Dutch_D+Dutch_D+French_Basque+Tuscan @ 2,967766
13 Irish_D+Dutch_D+French_Basque+TSI30 @ 2,972629
14 Irish_D+North_Italian+North_Italian+Kent_1KG @ 2,972678
15 Dutch_D+Dutch_D+French_Basque+North_Italian @ 2,973915
16 Irish_D+N_Italian_D+French_Basque+North_Italian @ 2,976889
17 Dutch_D+French_Basque+Tuscan+Kent_1KG @ 2,980673
18 N_Italian_D+French_Basque+North_Italian+Kent_1KG @ 2,981535
19 North_Italian+North_Italian+Kent_1KG+Cornwall_1KG @ 2,98183
20 Dutch_D+North_Italian+North_Italian+Kent_1KG @ 2,986168
21 French_Basque+North_Italian+North_Italian+Argyll_1 KG @ 2,988962
22 Dutch_D+Dutch_D+TSI30+Pais_Vasco_1KG @ 2,989639
23 Dutch_D+N_Italian_D+French_Basque+North_Italian @ 2,991593
24 Mixed_Germanic_D+French_Basque+TSI30+Cornwall_1KG @ 2,994903
25 French_Basque+Tuscan+Kent_1KG+Kent_1KG @ 2,99494
26 French_Basque+TSI30+Kent_1KG+Cornwall_1KG @ 2,994976
27 Mixed_Germanic_D+Dutch_D+French_Basque+Tuscan @ 2,996805
28 Irish_D+French_Basque+TSI30+Kent_1KG @ 2,99989
29 Irish_D+Mixed_Germanic_D+French_Basque+TSI30 @ 3,001263
30 Mixed_Germanic_D+Dutch_D+French_Basque+North_Itali an @ 3,003373
31 British_Isles_D+North_Italian+North_Italian+Kent_1 KG @ 3,005759
32 Dutch_D+TSI30+Kent_1KG+Pais_Vasco_1KG @ 3,007306
33 Mixed_Germanic_D+French_Basque+Tuscan+Kent_1KG @ 3,009988
34 French_Basque+North_Italian+North_Italian+Cornwall _1KG @ 3,010966
35 N_Italian_D+N_Italian_D+French_Basque+Kent_1KG @ 3,011914
36 Irish_D+Irish_D+North_Italian+North_Italian @ 3,014135
37 British_Isles_D+Dutch_D+French_Basque+TSI30 @ 3,014821
38 Mixed_Germanic_D+Dutch_D+TSI30+Pais_Vasco_1KG @ 3,015157
39 Irish_D+North_Italian+North_Italian+Cornwall_1KG @ 3,015954
40 Mixed_Germanic_D+North_Italian+North_Italian+Kent_ 1KG @ 3,017107

NK19191
05-04-2015, 11:54 AM
Admix Results (sorted):

# Population Percent
1 Caucasus_Gedrosia 47.92
2 Southern 28.14
3 Atlantic_Baltic 12.27
4 South_Asian 7.68
5 East_Asian 2.05
6 Siberian 1.34


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Iranian @ 4.404662
2 Iranians @ 6.430562
3 Kurd @ 6.665097
4 Kurds @ 7.293358
5 Armenians @ 10.686488
6 Turks @ 10.692645
7 Uzbekistan_Jews @ 11.219732
8 Georgians @ 11.559118
9 Armenians @ 12.132321
10 Armenian @ 12.437011
11 Abhkasians @ 13.069292
12 Kumyks @ 13.642799
13 North_Ossetians @ 14.424385
14 Turkish @ 14.599189
15 Azerbaijan_Jews @ 14.664085
16 Balkars @ 15.444592
17 Assyrian @ 15.560289
18 Turkmens @ 15.650429
19 Adygei @ 15.693233
20 Chechens @ 17.382275

Using 2 populations approximation:
1 50% Iranian_Jews +50% Tajiks @ 4.321683


Using 3 populations approximation:
1 50% Armenian +25% Burusho +25% Armenians @ 1.180760


Using 4 populations approximation:
1 Armenian + Armenian + Burusho + Armenians @ 1.180760
2 Burusho + Druze + Armenians + Abhkasians @ 1.217194
3 Burusho + Armenians + Armenians + Iranian_Jews @ 1.281268
4 Armenian + Burusho + Armenians + Armenians @ 1.283794
5 Burusho + Cypriots + Armenians + Abhkasians @ 1.315973
6 Pathan + Samaritians + Abhkasians + Kumyks @ 1.359662
7 Turkish + Balochi + Azerbaijan_Jews + Turks @ 1.412785
8 Pathan + Samaritians + Abhkasians + Balkars @ 1.421928
9 Armenian + Burusho + Druze + Georgians @ 1.431963
10 Burusho + Azerbaijan_Jews + Cypriots + Abhkasians @ 1.442311
11 Armenian + Assyrian + Burusho + Armenians @ 1.442856
12 Turkish + Balochi + Iraq_Jews + Kumyks @ 1.452004
13 Assyrian + Pathan + Georgia_Jews + North_Ossetians @ 1.455232
14 Burusho + Druze + Georgians + Armenians @ 1.455368
15 Armenian + Burusho + Cypriots + Abhkasians @ 1.461228
16 Burusho + Armenians + Armenians + Armenians @ 1.470067
17 Assyrian + Balochi + Turks + Turks @ 1.479152
18 Armenian + Balochi + Turks + Turks @ 1.484599
19 Turkish + Balochi + Turks + Armenians @ 1.485285
20 Balochi + Turks + Turks + Uzbekistan_Jews @ 1.493511

Kurd
05-05-2015, 02:27 AM
Not my favorite calculator, but informative in its own way. This calculator's references or algorithm places me quite distant from all W & SC Asian references

http://i.imgur.com/MZL0mbm.jpg
http://i.imgur.com/yvCRnxe.jpg
Using 2 populations approximation:
1 50% Burusho + 50% Georgia_Jews @ 2.765105


Using 3 populations approximation:
1 50% Pathan +25% Yemen_Jews +25% North_Ossetians @ 2.423892
http://i.imgur.com/EPhaM1r.jpg

Rukha
05-05-2015, 03:49 AM
Admix Results (sorted):

# Population Percent
1 Caucasus_Gedrosia 47.12
2 South_Asian 21.40
3 Atlantic_Baltic 16.18
4 Southern 8.35
5 Amerindian 2.81
6 Siberian 2.18
7 East_Asian 1.07

Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Pathan @ 12.024155
2 Tajiks @ 13.639380
3 Burusho @ 15.439724
4 Balochi @ 18.117762
5 Brahui @ 19.254988
6 Turkmens @ 19.408201
7 Makrani @ 19.734234
8 Sindhi @ 20.271463
9 Kalash @ 21.278021
10 Lezgins @ 24.101084
11 Kumyks @ 24.379284
12 Chechens @ 24.758316
13 Iranian @ 25.215305
14 North_Ossetians @ 25.229147
15 Balkars @ 25.470831
16 Adygei @ 25.480131
17 Bnei_Menashe_Jews @ 26.891520
18 Iranians @ 28.013052
19 Kurd @ 29.372971
20 Kurds @ 29.926674

Using 2 populations approximation:
1 50% Pathan +50% Tajiks @ 4.562852


Using 3 populations approximation:
1 50% Kalash +25% Sindhi +25% Tuscan @ 3.017291


Using 4 populations approximation:
1 Burusho + Lezgins + Lezgins + Kshatriya @ 1.665346
2 Burusho + Lezgins + Lezgins + Brahmins_from_Uttar_Pradesh @ 1.788684
3 Burusho + Lezgins + Chechens + Meena @ 1.884987
4 Burusho + Lezgins + Lezgins + Meena @ 1.923887
5 Indian + Burusho + Lezgins + Lezgins @ 1.969613
6 Burusho + Lezgins + Chechens + Kshatriya @ 2.040253
7 Burusho + Lezgins + Chechens + Brahmins_from_Uttar_Pradesh @ 2.156600
8 Indian + Burusho + Lezgins + Chechens @ 2.203667
9 Balochi + Burusho + Kalash + Romanians @ 2.306463
10 Adygei + Burusho + Lezgins + Meena @ 2.336274
11 Burusho + Chechens + Chechens + Meena @ 2.340800
12 Brahui + Burusho + Kalash + Romanians @ 2.353183
13 Pathan + Lezgins + Lezgins + Kshatriya @ 2.465175
14 Burusho + Lezgins + Lezgins + Brahmins_from_Tamil_Nadu @ 2.507721
15 Pathan + Sindhi + Lezgins + Tajiks @ 2.538068
16 Burusho + Lezgins + Lezgins + Tharus @ 2.539029
17 Burusho + Lezgins + Balkars + Meena @ 2.581911
18 Pathan + Lezgins + Chechens + Kshatriya @ 2.597579
19 Adygei + Kalash + Tajiks + Brahmins_from_Uttar_Pradesh @ 2.647105
20 Burusho + GIH30 + Lezgins + Lezgins @ 2.648935

Hanna
05-05-2015, 04:59 AM
Admix Results (sorted):

# Population Percent
1 Caucasus_Gedrosia 46.70
2 Southern 32.06
3 Atlantic_Baltic 15.38
4 Siberian 3.46
5 East_Asian 2.22


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Armenians @ 4.586259
2 Turks @ 5.264636
3 Armenian @ 8.838160
4 Armenians @ 9.140386
5 Turkish @ 9.358273
6 Uzbekistan_Jews @ 9.376534
7 Kurds @ 9.540112
8 Kurd @ 9.809800
9 Georgians @ 10.797691
10 Iranian @ 11.100307
11 Iranians @ 12.122344
12 Azerbaijan_Jews @ 12.189021
13 Assyrian @ 12.593275
14 Kumyks @ 13.106474
15 Abhkasians @ 13.382278
16 Georgia_Jews @ 13.564471
17 North_Ossetians @ 13.639699
18 Balkars @ 14.067990
19 Adygei @ 14.531388
20 Iranian_Jews @ 16.955582

Using 2 populations approximation:
1 50% Georgia_Jews +50% Balkars @ 1.508663


Using 3 populations approximation:
1 50% Georgians +25% Samaritians +25% Nogais @ 1.075801


Using 4 populations approximation:
1 Georgians + Georgians + Samaritians + Nogais @ 1.075801
2 Armenian + Armenian + Armenian + Nogais @ 1.173292
3 Armenian + Armenian + Armenians + Nogais @ 1.216771
4 Armenians + Samaritians + North_Ossetians + North_Ossetians @ 1.337155
5 Armenian + Armenians + Armenians + Nogais @ 1.346830
6 Assyrian + Druze + Balkars + North_Ossetians @ 1.365097
7 Georgia_Jews + Georgia_Jews + Balkars + North_Ossetians @ 1.373711
8 Assyrian + Georgia_Jews + Georgians + Nogais @ 1.375560
9 Armenian + Georgia_Jews + Georgians + Nogais @ 1.384754
10 Georgians + Samaritians + Abhkasians + Nogais @ 1.405307
11 Iraq_Jews + Turks + Turks + North_Ossetians @ 1.432685
12 Druze + Azerbaijan_Jews + Balkars + North_Ossetians @ 1.446485
13 Druze + Georgia_Jews + North_Ossetians + North_Ossetians @ 1.456285
14 Cypriots + Iranian_Jews + North_Ossetians + North_Ossetians @ 1.457588
15 Assyrian + Armenians + Armenians + Nogais @ 1.460791
16 Armenians + Armenians + Armenians + Nogais @ 1.505581
17 Georgia_Jews + Georgia_Jews + Balkars + Balkars @ 1.508663
18 Armenian + Druze + Abhkasians + Nogais @ 1.515403
19 Druze + Armenians + Abhkasians + Nogais @ 1.529200
20 Georgia_Jews + Iraq_Jews + Balkars + Balkars @ 1.532866

firemonkey
05-10-2015, 03:56 AM
World 9

1 AtlanticBaltic 73.96
2 Southern 11.89
3 CaucasusGedrosia 11.32
4 AmerIndian 1.32
5 SouthAsian 1.03
6 Siberian 0.41
7 EastAsian 0.02
8 African 0.01


Single population sharing

1 German (Dodecad) 1.61
2 Dutch (Dodecad) 1.63
3 CEU30 (1000Genomes) 1.69
4 Mixed_Germanic (Dodecad) 1.85
5 Cornwall (1000 Genomes) 2.1
6 Kent (1000 Genomes) 2.2
7 British (Dodecad) 2.32
8 British_Isles (Dodecad) 3.06
9 Argyll (1000 Genomes) 3.81
10 Irish (Dodecad) 3.87
11 Orcadian (HGDP) 3.99
12 Orkney (1000 Genomes) 4.4
13 Polish (Dodecad) 6.16
14 Ukranians (Yunusbayev) 6.19
15 Hungarians (Behar) 6.48
16 French (HGDP) 7.62
17 Belorussian (Behar) 8.06
18 Norwegian (Dodecad) 8.12
19 French (Dodecad) 8.44
20 Swedish (Dodecad) 8.5

Dodecad world 9

# Primary Population (source) Secondary Population (source) Distance
1 97.7% CEU30 (1000Genomes) + 2.3% MEX30 @ 0.85
2 96.6% CEU30 (1000Genomes) + 3.4% CLM30 @ 0.88
3 98% CEU30 (1000Genomes) + 2% Ecuadorian @ 0.9
4 97% German (Dodecad) + 3% CLM30 @ 0.92
5 95.4% Orcadian (HGDP) + 4.6% Saudis (Behar) @ 0.93
6 95.6% Orcadian (HGDP) + 4.4% Yemen_Jews (Behar) @ 0.93
7 97.3% CEU30 (1000Genomes) + 2.7% Colombian @ 0.94
8 98.6% CEU30 (1000Genomes) + 1.4% PEL30 @ 0.95
9 98.5% CEU30 (1000Genomes) + 1.5% Athabask @ 0.97
10 97.6% German (Dodecad) + 2.4% Colombian @ 0.97
11 93.2% Orcadian (HGDP) + 6.8% Morocco_Jews (Behar) @ 0.98
12 98.8% CEU30 (1000Genomes) + 1.2% Maya @ 0.98
13 98% German (Dodecad) + 2% MEX30 @ 0.99
14 98.7% Dutch (Dodecad) + 1.3% PEL30 @ 0.99
15 98.9% CEU30 (1000Genomes) + 1.1% Pima @ 0.99
16 99% Dutch (Dodecad) + 1% Pima @ 1
17 95.3% Orcadian (HGDP) + 4.7% Bedouin (HGDP) @ 1
18 98.9% Dutch (Dodecad) + 1.1% Maya @ 1
19 99% Dutch (Dodecad) + 1% Karitiana @ 1
20 99% Dutch (Dodecad) + 1% Surui @ 1

Dodecad world 9

Using 1 population approximation:
1 Dutch @ 1.646360
2 German @ 1.680913
3 CEU30 @ 1.707442
4 Mixed_Germanic @ 1.802399
5 Cornwall @ 2.239165
6 Kent @ 2.372745
7 British @ 2.449650
8 British_Isles @ 3.364631
9 Argyll @ 4.116223
10 Irish @ 4.225014
11 Orcadian @ 4.366717
12 Orkney @ 4.826415
13 Polish @ 6.560855
14 Ukranians @ 6.603112
15 Hungarians @ 7.179628
16 French @ 8.111217
17 Belorussian @ 8.559903
18 Norwegian @ 8.853275
19 French @ 8.957968
20 Swedish @ 9.209811

Using 2 populations approximation:
1 50% Mixed_Germanic +50% CEU30 @ 1.184560


Using 3 populations approximation:
1 50% British_Isles +25% CEU30 +25% Hungarians @ 1.090079


Using 4 populations approximation:
1 French + Orcadian + Cornwall + Ukranians @ 1.040987
2 Lithuanian + North_Italian + Orcadian + Orcadian @ 1.051922
3 French + Orcadian + CEU30 + Ukranians @ 1.057435
4 Lithuanian + North_Italian + Orcadian + Orkney @ 1.059977
5 British_Isles + CEU30 + Hungarians + Cornwall @ 1.061666
6 British_Isles + British_Isles + CEU30 + Hungarians @ 1.090079
7 Belorussian + Argyll + Argyll + Cataluna @ 1.090216
8 French + CEU30 + Orkney + Ukranians @ 1.091329
9 Orcadian + CEU30 + Hungarians + Cornwall @ 1.092552
10 British_Isles + CEU30 + CEU30 + Hungarians @ 1.093679
11 French + Orcadian + Kent + Ukranians @ 1.095989
12 French + British_Isles + Orcadian + Ukranians @ 1.096038
13 Lithuanian + North_Italian + Orkney + Orkney @ 1.102490
14 French + Mixed_Germanic + CEU30 + Belorussian @ 1.103535
15 Polish + French + CEU30 + CEU30 @ 1.104357
16 British + British_Isles + CEU30 + Hungarians @ 1.105257
17 Lithuanian + CEU30 + Argyll + Baleares @ 1.107032
18 British_Isles + CEU30 + Hungarians + Kent @ 1.108726
19 Orcadian + Hungarians + Cornwall + Cornwall @ 1.112681
20 German + Lithuanian + Argyll + Baleares @ 1.113775

Passa
05-17-2015, 07:45 PM
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 42.55
2 Southern 34.37
3 Caucasus_Gedrosia 22.44


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 C_Italian @ 1.489970
2 O_Italian @ 4.549160
3 Greek @ 4.677879
4 Tuscan @ 7.667219
5 Sicilian @ 7.841342
6 Ashkenazy_Jews @ 7.974844
7 S_Italian_Sicilian @ 8.475839
8 TSI30 @ 8.690057
9 S_Italian @ 9.368809
10 Ashkenazi @ 9.467302
11 Bulgarian @ 15.658640
12 Romanians @ 16.216581
13 Bulgarians @ 16.713888
14 Sephardic_Jews @ 17.384075
15 North_Italian @ 17.484911
16 N_Italian @ 17.741978
17 Morocco_Jews @ 18.751863
18 Canarias @ 21.625851
19 Murcia @ 22.230675
20 Baleares @ 22.902433

Using 2 populations approximation:
1 50% S_Italian_Sicilian +50% TSI30 @ 0.444267


Using 3 populations approximation:
1 50% TSI30 +25% TSI30 +25% Cypriots @ 0.323092


Using 4 populations approximation:
1 Greek + TSI30 + Cypriots + Baleares @ 0.000000
2 C_Italian + N_Italian + Tuscan + Cypriots @ 0.000000
3 C_Italian + N_Italian + TSI30 + Cypriots @ 0.000000
4 C_Italian + North_Italian + Tuscan + Cypriots @ 0.000000
5 C_Italian + North_Italian + TSI30 + Cypriots @ 0.000000
6 S_Italian_Sicilian + N_Italian + North_Italian + Cypriots @ 0.000000
7 S_Italian + Sardinian + Georgians + Valencia @ 0.000000
8 Sicilian + N_Italian + N_Italian + Cypriots @ 0.256184
9 Greek + O_Italian + Cypriots + Spaniards @ 0.265141
10 Greek + C_Italian + Cypriots + Cataluna @ 0.274254
11 N_Italian + North_Italian + Ashkenazy_Jews + Cypriots @ 0.278019
12 S_Italian_Sicilian + French_Basque + TSI30 + Georgia_Jews @ 0.283260
13 S_Italian_Sicilian + Sardinian + Georgians + Valencia @ 0.283279
14 Greek + Tuscan + Cypriots + Baleares @ 0.284115
15 Spanish + S_Italian + Sardinian + Georgians @ 0.289747
16 S_Italian_Sicilian + N_Italian + N_Italian + Cypriots @ 0.290668
17 Assyrian + French_Basque + Cypriots + Cantabria @ 0.300050
18 Mixed_Germanic + S_Italian + North_Italian + Samaritians @ 0.301773
19 TSI30 + TSI30 + TSI30 + Cypriots @ 0.323092
20 S_Italian_Sicilian + S_Italian + TSI30 + TSI30 @ 0.325733

Gray Fox
05-17-2015, 08:31 PM
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 71.29
2 Caucasus_Gedrosia 13.67
3 Southern 12.49
4 South_Asian 1.21
5 African 0.66
6 Australasian 0.48
7 Amerindian 0.2


Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic @ 3.160672
2 Dutch @ 3.524199
3 Hungarians @ 3.989113
4 German @ 4.192891
5 CEU30 @ 4.890331
6 Cornwall @ 5.542659
7 Kent @ 5.635502
8 British @ 5.684919
9 Ukranians @ 6.382546
10 British_Isles @ 6.791645
11 Argyll @ 6.798609
12 French @ 6.990695
13 Irish @ 7.299996
14 Orcadian @ 7.576499
15 Orkney @ 8.103077
16 French @ 8.331759
17 Polish @ 8.519629
18 Belorussian @ 10.401358
19 Russian_B @ 11.291695
20 Russian @ 11.705537

Using 2 populations approximation:
1 50% Dutch +50% Hungarians @ 1.362182


Using 3 populations approximation:
1 50% Irish +25% Romanians +25% Orkney @ 0.957231


Using 4 populations approximation:
1 Irish + Orcadian + Orcadian + Romanians @ 0.950413
2 Irish + Irish + Romanians + Orkney @ 0.957231
3 Irish + Irish + Orcadian + Romanians @ 0.966993
4 Romanians + Orkney + Orkney + Argyll @ 0.967199
5 Orcadian + Romanians + Orkney + Argyll @ 1.002574
6 Irish + Romanians + Orkney + Argyll @ 1.009770
7 Irish + Irish + Irish + Romanians @ 1.009895
8 Irish + Romanians + Orkney + Orkney @ 1.009929
9 Irish + Orcadian + Romanians + Orkney @ 1.010584
10 Orcadian + Orcadian + Orcadian + Romanians @ 1.011258
11 Orcadian + Orcadian + Romanians + Orkney @ 1.045244
12 Irish + Orcadian + Romanians + Argyll @ 1.053937
13 Orcadian + Orcadian + Romanians + Argyll @ 1.060515
14 Irish + Irish + Romanians + Argyll @ 1.070612
15 Lithuanian + O_Italian + Orcadian + Argyll @ 1.074461
16 Orcadian + Romanians + Orkney + Orkney @ 1.096208
17 Lithuanian + O_Italian + Orcadian + Orcadian @ 1.101063
18 Lithuanian + O_Italian + Orkney + Argyll @ 1.101361
19 Romanians + Orkney + Argyll + Argyll @ 1.110757
20 Norwegian + Dutch + Orcadian + Romanians @ 1.117835

Hassan
05-18-2015, 06:23 PM
my results:

Amerindian -
East_Asian -
African 51.54%
Atlantic_Baltic-
Australasian 0.92%
Siberian 1.36%
Caucasus_Gedrosia -
Southern 44.33%
South_Asian 1.85%


Using 1 population approximation:
1 Somali (Dodecad) 1.75
2 Ethiopians (Behar) 6.96
3 Ethiopian_Jews (Behar) 9.24
4 MKK30 (Dodecad) 31.57
5 Moroccans (Behar) 33.75
6 Mozabite 36.51
7 Sandawe_He 37.27
8 Dominican 41.04
9 Yemenese (Behar) 43.34
10 Egyptans (Behar) 46.25
11 Hadza_He 50.98
12 ASW30 (HapMap3) 52.9
13 Puerto_Rican 55.08
14 Bedouin (HGDP) 55.79
15 San_He 57.94
16 Jordanians (Behar) 58.23
17 ACB30 58.57
18 Palestinian (HGDP) 59.35
19 Bantu_N.E. (HGDP) 60.15
20 Saudis (Behar) 60.28


I'm of Somali origin.

Jessie
05-19-2015, 04:58 AM
Mine: (100% normand)
1.03% Amerindian
0.00% East_Asian
0.09% African
71.61% Atlantic_Baltic
0.68% Australasian
0.08% Siberian
11.10% Caucasus_Gedrosia
15.40% Southern
0.00% South_Asian

One week ago I would not have paid attention to the 1,03% amerindian. Now I see only it. I don't post the oracles, as they are depressingly familiar: in gaussian, 3/4 Kent + 1/4 southern (french or N-Italian, don't recall).

Just wondered why you commented on the Amerindian?

Jessie
05-19-2015, 05:28 AM
Oracle is off on this as well.

Mine

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 74.81
2 Caucasus_Gedrosia 12.20
3 Southern 11.16
4 Amerindian 1.17


Finished reading population data. 250 populations found.
9 components mode.

------------------------------*--

Least-squares method.

Using 1 population approximation:
1 German @ 0.737632
2 Dutch @ 1.299701
3 CEU30 @ 1.552566
4 Kent @ 2.115940
5 British @ 2.248880
6 Cornwall @ 2.261080
7 Mixed_Germanic @ 2.436000
8 Argyll @ 2.956504
9 British_Isles @ 3.019912
10 Irish @ 3.256096
11 Orcadian @ 3.540065
12 Orkney @ 4.092195
13 Polish @ 5.340858
14 Ukranians @ 5.757589
15 Belorussian @ 7.403570
16 Hungarians @ 7.710814
17 Norwegian @ 8.023502
18 Swedish @ 8.328689
19 Russian_B @ 9.206434
20 French @ 9.247556

Using 2 populations approximation:
1 50% German +50% German @ 0.737632


Using 3 populations approximation:
1 50% German +25% German +25% German @ 0.737632


Using 4 populations approximation:
1 German + Orcadian + Orcadian + Hungarians @ 0.675051
2 Irish + German + Orcadian + Hungarians @ 0.720972
3 German + German + German + German @ 0.737632
4 Orcadian + Hungarians + Kent + Argyll @ 0.742685
5 Irish + Irish + Hungarians + Cornwall @ 0.752953
6 German + Orcadian + Hungarians + Orkney @ 0.755176
7 Orcadian + Hungarians + Cornwall + Argyll @ 0.762616
8 Irish + Hungarians + Cornwall + Argyll @ 0.764567
9 Orcadian + Orcadian + Hungarians + Cornwall @ 0.773423
10 Irish + Irish + Hungarians + Kent @ 0.776573
11 Irish + Orcadian + Hungarians + Kent @ 0.781464
12 Irish + Orcadian + CEU30 + Hungarians @ 0.781622
13 Irish + Orcadian + Hungarians + Cornwall @ 0.782011
14 Irish + Hungarians + Kent + Argyll @ 0.789422
15 German + German + Mixed_Germanic + Argyll @ 0.791309
16 Orcadian + Orcadian + Hungarians + Kent @ 0.796848
17 Irish + German + Hungarians + Orkney @ 0.802747
18 British_Isles + Orcadian + Hungarians + Argyll @ 0.804505
19 Irish + Irish + CEU30 + Hungarians @ 0.816631
20 Irish + Irish + German + Hungarians @ 0.817185

I'll post another family member when Gedmatch is running a bit quicker.

Jessie
05-19-2015, 05:35 AM
Mother

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 73.50
2 Caucasus_Gedrosia 12.54
3 Southern 11.39
4 Amerindian 1.31
5 South_Asian 1.26


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Dutch @ 1.572586
2 German @ 1.897534
3 Mixed_Germanic @ 2.186364
4 CEU30 @ 2.481387
5 Cornwall @ 3.270586
6 Kent @ 3.323139
7 British @ 3.374486
8 Argyll @ 4.175432
9 British_Isles @ 4.269870
10 Irish @ 4.615969
11 Orcadian @ 4.860894
12 Orkney @ 5.430746
13 Ukranians @ 5.689066
14 Polish @ 6.306697
15 Hungarians @ 6.544254
16 Belorussian @ 8.291686
17 French @ 8.484536
18 Norwegian @ 9.367632
19 French @ 9.509688
20 Swedish @ 9.575792

Using 2 populations approximation:
1 50% Orcadian +50% Hungarians @ 1.479715


Using 3 populations approximation:
1 50% CEU30 +25% Hungarians +25% Argyll @ 1.248026


Using 4 populations approximation:
1 Dutch + CEU30 + Hungarians + Argyll @ 1.205421
2 Lithuanian + N_Italian + Argyll + Argyll @ 1.209829
3 CEU30 + CEU30 + Hungarians + Argyll @ 1.248026
4 German + CEU30 + Hungarians + Argyll @ 1.249890
5 Dutch + Orcadian + CEU30 + Hungarians @ 1.252796
6 Lithuanian + N_Italian + Orcadian + Argyll @ 1.269905
7 German + German + Hungarians + Argyll @ 1.284085
8 Dutch + Dutch + Orcadian + Hungarians @ 1.287781
9 Mixed_Germanic + Hungarians + Argyll + Argyll @ 1.291163
10 Irish + Dutch + CEU30 + Hungarians @ 1.294770
11 German + Dutch + Orcadian + Hungarians @ 1.294773
12 Mixed_Germanic + CEU30 + Hungarians + Argyll @ 1.303576
13 Irish + German + CEU30 + Hungarians @ 1.305232
14 German + German + Orcadian + Hungarians @ 1.306141
15 German + Orcadian + CEU30 + Hungarians @ 1.306640
16 German + Dutch + Hungarians + Argyll @ 1.309793
17 Irish + Lithuanian + N_Italian + Argyll @ 1.310758
18 Dutch + Hungarians + Cornwall + Argyll @ 1.312385
19 Mixed_Germanic + Orcadian + Hungarians + Argyll @ 1.323994
20 Lithuanian + North_Italian + Argyll + Argyll @ 1.329566


Daughter's is more accurate with the calculator

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 75.38
2 Southern 11.90
3 Caucasus_Gedrosia 10.75


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Cornwall @ 0.701394
2 Kent @ 0.896353
3 CEU30 @ 0.942972
4 British @ 1.081128
5 German @ 1.669388
6 British_Isles @ 1.850087
7 Dutch @ 2.084165
8 Mixed_Germanic @ 2.467153
9 Irish @ 3.088964
10 Orcadian @ 3.136930
11 Argyll @ 3.359956
12 Orkney @ 3.509811
13 Polish @ 6.104319
14 Ukranians @ 7.237299
15 Norwegian @ 7.676373
16 Belorussian @ 8.133591
17 Swedish @ 8.173676
18 Hungarians @ 8.579847
19 French @ 8.911375
20 French @ 9.580593

Using 2 populations approximation:
1 50% CEU30 +50% Cornwall @ 0.559757


Using 3 populations approximation:
1 50% Irish +25% French +25% Orcadian @ 0.434307


Using 4 populations approximation:
1 French + Orcadian + Orcadian + Argyll @ 0.359557
2 Irish + French + Orcadian + Argyll @ 0.384407
3 French + Orcadian + Orcadian + Orcadian @ 0.384607
4 French + Orcadian + Orkney + Argyll @ 0.409307
5 Irish + French + Orcadian + Orcadian @ 0.409457
6 Irish + French + Orkney + Argyll @ 0.434157
7 French + Orkney + Argyll + Argyll @ 0.434307
8 Irish + Irish + French + Orcadian @ 0.434307
9 Irish + French + Orcadian + Orcadian @ 0.440287
10 French + Orcadian + Orkney + Argyll @ 0.459357
11 Irish + Irish + French + Orcadian @ 0.462140
12 Irish + Irish + French + Argyll @ 0.482208
13 Irish + Irish + French + Orkney @ 0.484056
14 Irish + Irish + Irish + French @ 0.484293
15 British_Isles + French + Orcadian + Argyll @ 0.484607
16 French + Orcadian + Argyll + Argyll @ 0.503117
17 French + Orcadian + Orcadian + Argyll @ 0.505783
18 French + Orkney + Orkney + Argyll @ 0.509106
19 Polish + French + British_Isles + Orcadian @ 0.509482
20 French + Orcadian + Orcadian + Orkney @ 0.524817

Done.

Elapsed time 0.8702 seconds.


Brother's result

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 75.13
2 Caucasus_Gedrosia 12.45
3 Southern 10.32
4 South_Asian 1.24


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 German @ 1.569797
2 CEU30 @ 1.788823
3 Dutch @ 1.878439
4 Argyll @ 2.221581
5 British @ 2.545884
6 Kent @ 2.640359
7 Cornwall @ 2.751874
8 Irish @ 2.806973
9 British_Isles @ 3.092540
10 Orcadian @ 3.123407
11 Mixed_Germanic @ 3.228466
12 Orkney @ 3.736168
13 Polish @ 4.527769
14 Ukranians @ 5.278525
15 Belorussian @ 6.587423
16 Norwegian @ 7.558635
17 Swedish @ 7.726202
18 Hungarians @ 8.282935
19 Russian_B @ 8.548442
20 Russian @ 9.317714

Using 2 populations approximation:
1 50% Dutch +50% Argyll @ 0.865189


Using 3 populations approximation:
1 50% Dutch +25% Argyll +25% Argyll @ 0.865189


Using 4 populations approximation:
1 Orcadian + Hungarians + Argyll + Argyll @ 0.826700
2 Dutch + Dutch + Argyll + Argyll @ 0.865189
3 Irish + Hungarians + Argyll + Argyll @ 0.886517
4 Irish + Orcadian + Hungarians + Argyll @ 0.894621
5 Hungarians + Orkney + Argyll + Argyll @ 0.900012
6 Orcadian + Orcadian + Hungarians + Argyll @ 0.911455
7 Polish + Dutch + Dutch + CEU30 @ 0.933128
8 Irish + Irish + Hungarians + Argyll @ 0.950946
9 Polish + Dutch + Dutch + Dutch @ 0.988990
10 Hungarians + Argyll + Argyll + Argyll @ 0.996679
11 Polish + Mixed_Germanic + Mixed_Germanic + Argyll @ 0.999625
12 Dutch + Orcadian + Cornwall + Ukranians @ 1.002894
13 Mixed_Germanic + Dutch + Argyll + Argyll @ 1.004873
14 Mixed_Germanic + Orcadian + CEU30 + Ukranians @ 1.008831
15 Orcadian + Hungarians + Orkney + Argyll @ 1.011484
16 Polish + German + Dutch + Dutch @ 1.012812
17 German + Dutch + Argyll + Argyll @ 1.012849
18 Irish + Hungarians + Orkney + Argyll @ 1.015192
19 Dutch + Orcadian + CEU30 + Ukranians @ 1.045881
20 Polish + German + Dutch + CEU30 @ 1.047170

Gray Fox
05-19-2015, 05:44 AM
Oracle is off on this as well.

Mine

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 74.81
2 Caucasus_Gedrosia 12.20
3 Southern 11.16
4 Amerindian 1.17


Finished reading population data. 250 populations found.
9 components mode.

------------------------------*--

Least-squares method.

Using 1 population approximation:
1 German @ 0.737632
2 Dutch @ 1.299701
3 CEU30 @ 1.552566
4 Kent @ 2.115940
5 British @ 2.248880
6 Cornwall @ 2.261080
7 Mixed_Germanic @ 2.436000
8 Argyll @ 2.956504
9 British_Isles @ 3.019912
10 Irish @ 3.256096
11 Orcadian @ 3.540065
12 Orkney @ 4.092195
13 Polish @ 5.340858
14 Ukranians @ 5.757589
15 Belorussian @ 7.403570
16 Hungarians @ 7.710814
17 Norwegian @ 8.023502
18 Swedish @ 8.328689
19 Russian_B @ 9.206434
20 French @ 9.247556

Using 2 populations approximation:
1 50% German +50% German @ 0.737632


Using 3 populations approximation:
1 50% German +25% German +25% German @ 0.737632


Using 4 populations approximation:
1 German + Orcadian + Orcadian + Hungarians @ 0.675051
2 Irish + German + Orcadian + Hungarians @ 0.720972
3 German + German + German + German @ 0.737632
4 Orcadian + Hungarians + Kent + Argyll @ 0.742685
5 Irish + Irish + Hungarians + Cornwall @ 0.752953
6 German + Orcadian + Hungarians + Orkney @ 0.755176
7 Orcadian + Hungarians + Cornwall + Argyll @ 0.762616
8 Irish + Hungarians + Cornwall + Argyll @ 0.764567
9 Orcadian + Orcadian + Hungarians + Cornwall @ 0.773423
10 Irish + Irish + Hungarians + Kent @ 0.776573
11 Irish + Orcadian + Hungarians + Kent @ 0.781464
12 Irish + Orcadian + CEU30 + Hungarians @ 0.781622
13 Irish + Orcadian + Hungarians + Cornwall @ 0.782011
14 Irish + Hungarians + Kent + Argyll @ 0.789422
15 German + German + Mixed_Germanic + Argyll @ 0.791309
16 Orcadian + Orcadian + Hungarians + Kent @ 0.796848
17 Irish + German + Hungarians + Orkney @ 0.802747
18 British_Isles + Orcadian + Hungarians + Argyll @ 0.804505
19 Irish + Irish + CEU30 + Hungarians @ 0.816631
20 Irish + Irish + German + Hungarians @ 0.817185

I'll post another family member when Gedmatch is running a bit quicker.

Sprechen Sie Deutsch? ;)

Jessie
05-19-2015, 05:52 AM
Sprechen Sie Deutsch? ;)

I wish I could. :) The calculators are fascinating and I love using them but all my ancestry is Irish so I often wonder how Americans work out where they come from in Europe especially if they are unsure. I think a paper trail is the only way to know your ancestry although these calculators might hint at something more ancient.

anglesqueville
05-19-2015, 07:30 AM
Sprechen Sie Deutsch? Ja ein Bischen. Sam, it seems that this calculator pulls us eastword, especially with the least squares methods. My own oracles with LS is:
1 German_D+German_D+German_D+Spaniards @ 0,988882
2 German_D+German_D+Orcadian+Baleares_1KG @ 0,998852
3 German_D+German_D+Kent_1KG+Baleares_1KG @ 1,020763

while with gaussian method:

1 North_Italian+Kent_1KG+Kent_1KG+Kent_1KG @ 2,216621
2 Irish_D+North_Italian+Kent_1KG+Kent_1KG @ 2,284752

Gray Fox
05-19-2015, 07:42 AM
I wish I could. :) The calculators are fascinating and I love using them but all my ancestry is Irish so I often wonder how Americans work out where they come from in Europe especially if they are unsure. I think a paper trail is the only way to know your ancestry although these calculators might hint at something more ancient.

The main thing I take from it is that I am close to most Brits, but not spot on. I have enough central euro ancestry to lower my percentages just enough to not align with them. Which is pretty accurate, since that's what I am reading on paper. Heavy Ulster-Scots and English with less Welsh and virtually no Irish. Although I do have one L21 Coffey line. Then lesser, but slightly more recent southern German/Swiss and a few French Huguenot lines here and there to round it out. There was always the legend of Amerindian DNA, but I've yet to see anything paper trail wise to confirm that. My zero east Asian, Amerindian etc. scores pretty much put that legend to rest. Though a few family members have angrily contested that the test was flawed.. Based on what? No response of course! Just wishful thinking that didn't pan out. African input seems more plausible than Amerindian, but I can't quite put my finger down on that. Nothing ever shows up higher than less than a percent and some tests indicate zero percent altogether for it, but I'm still not sure.

One things for sure though, its very difficult to ascertain a lock on anyone group of people. Like you have speculated, I would be lost without my solid paperwork, which is very extensive! Its actually a pretty common hobby for a lot of older folks in this region, especially women.

Gray Fox
05-19-2015, 07:54 AM
Ja ein Bischen. Sam, it seems that this calculator pulls us eastword, especially with the least squares methods. My own oracles with LS is:
1 German_D+German_D+German_D+Spaniards @ 0,988882
2 German_D+German_D+Orcadian+Baleares_1KG @ 0,998852
3 German_D+German_D+Kent_1KG+Baleares_1KG @ 1,020763

while with gaussian method:

1 North_Italian+Kent_1KG+Kent_1KG+Kent_1KG @ 2,216621
2 Irish_D+North_Italian+Kent_1KG+Kent_1KG @ 2,284752

Here are the top scores for my oracle..

Using 2 populations approximation:
1 50% Dutch +50% Hungarians @ 1.362182


Using 3 populations approximation:
1 50% Irish +25% Romanians +25% Orkney @ 0.957231


Using 4 populations approximation:
1 Irish + Orcadian + Orcadian + Romanians @ 0.950413
2 Irish + Irish + Romanians + Orkney @ 0.957231
3 Irish + Irish + Orcadian + Romanians @ 0.966993
4 Romanians + Orkney + Orkney + Argyll @ 0.967199

I guess I could jump on board with that. Irish and Orcadian reflecting my high north Atlantic and the Romanian representing my central Euro. Not bad as far as the oracles are concerned. This run is definitely for a mixed individual, someone with an essentially 100 percent background in a specific ethnicity is going to get conflicting results.. Though it doesn't make sense in Jessie's case as there does appear to be a reference group for her ethnicity. Not sure about that one, especially with her showing that much German in the oracle runs.

BalkanKiwi
05-19-2015, 08:00 AM
The main thing I take from it is that I am close to most Brits, but not spot on. I have enough central euro ancestry to lower my percentages just enough to not align with them. Which is pretty accurate, since that's what I am reading on paper. Heavy Ulster-Scots and English with less Welsh and virtually no Irish. Although I do have one L21 Coffey line. Then lesser, but slightly more recent southern German/Swiss and a few French Huguenot lines here and there to round it out. There was always the legend of Amerindian DNA, but I've yet to see anything paper trail wise to confirm that. My zero east Asian, Amerindian etc. scores pretty much put that legend to rest. Though a few family members have angrily contested that the test was flawed.. Based on what? No response of course! Just wishful thinking that didn't pan out. African input seems more plausible than Amerindian, but I can't quite put my finger down on that. Nothing ever shows up higher than less than a percent and some tests indicate zero percent altogether for it, but I'm still not sure.

One things for sure though, its very difficult to ascertain a lock on anyone group of people. Like you have speculated, I would be lost without my solid paperwork, which is very extensive! Its actually a pretty common hobby for a lot of older folks in this region, especially women.

To add to what Sam has said, the older generation seem to be reluctant to believe DNA results if it doesn't fit with what they know or have been told. Yes DNA testing isn't perfect, but I think it's at a good level to prove or disprove something with the help of paper records. If people found no truth in 23andMe, FTDNA, Ancestry etc then no one would test at all.

For those of us from the likes of New Zealand, Australia, Canada, The United States and South Africa, we are made up of mostly migrants from all over the place so it can be much harder to trace ancestry. If someone is mostly Irish/British, it probably makes it slightly easier to narrow down potential ancient ancestry if it shows consistently.

Mellow
06-02-2015, 07:33 PM
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 47.23
2 Southern 30
3 Caucasus_Gedrosia 22.31
4 East_Asian 0.27
5 Siberian 0.12
6 African 0.06
7 Australasian 0.02

Single Population Sharing:

# Population (source) Distance
1 O_Italian (Dodecad) 2.49
2 Tuscan (HGDP) 3.63
3 TSI30 (Metspalu) 4.18
4 C_Italian (Dodecad) 5.01
5 Greek (Dodecad) 8.47
6 Bulgarian (Dodecad) 8.64
7 Bulgarians (Yunusbayev) 9.57
8 Romanians (Behar) 9.62
9 N_Italian (Dodecad) 11.16
10 North_Italian (HGDP) 11.36
11 Ashkenazy_Jews 12.63
12 Sicilian (Dodecad) 12.88
13 S_Italian_Sicilian (Dodecad) 13.25
14 S_Italian (Dodecad) 13.99
15 Ashkenazi (Dodecad) 14.19
16 Baleares (1000 Genomes) 16.49
17 Murcia (1000 Genomes) 16.83
18 Canarias (1000 Genomes) 17.22
19 Andalucia (1000 Genomes) 17.84
20 Extremadura (1000 Genomes) 18.41

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 75.4% North_Italian (HGDP) + 24.6% Armenians (Behar) @ 0.33
2 89.6% TSI30 (Metspalu) + 10.4% Chechens (Yunusbayev) @ 0.42
3 90.2% TSI30 (Metspalu) + 9.8% Lezgins (Behar) @ 0.43
4 79.6% N_Italian (Dodecad) + 20.4% Assyrian (Dodecad) @ 0.49
5 79.7% N_Italian (Dodecad) + 20.3% Azerbaijan_Jews @ 0.53
6 57.1% French_Basque + 42.9% Armenians (Yunusbayev) @ 0.54
7 57.4% Pais_Vasco (1000 Genomes) + 42.6% Armenians (Yunusbayev) @ 0.59
8 89.1% TSI30 (Metspalu) + 10.9% Adygei (HGDP) @ 0.59
9 74.8% Greek (Dodecad) + 25.2% French (Dodecad) @ 0.61
10 56.9% Pais_Vasco (1000 Genomes) + 43.1% Armenian (Dodecad) @ 0.63
11 59.9% Aragon (1000 Genomes) + 40.1% Armenians (Behar) @ 0.66
12 56.7% French_Basque + 43.3% Armenian (Dodecad) @ 0.67
13 54.5% French (HGDP) + 45.5% Cypriots (Behar) @ 0.67
14 78.8% N_Italian (Dodecad) + 21.2% Armenian (Dodecad) @ 0.69
15 91.5% Tuscan (HGDP) + 8.5% Lezgins (Behar) @ 0.72
16 81.1% N_Italian (Dodecad) + 18.9% Iranian_Jews (Behar) @ 0.76
17 89.1% TSI30 (Metspalu) + 10.9% Balkars (Yunusbayev) @ 0.76
18 89.9% TSI30 (Metspalu) + 10.1% North_Ossetians (Yunusbayev) @ 0.78
19 60.2% Dutch (Dodecad) + 39.8% Samaritians (Behar) @ 0.79
20 60.9% Mixed_Germanic (Dodecad) + 39.1% Samaritians (Behar) @ 0.80

Macura
06-04-2015, 07:15 AM
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 61.58
2 Caucasus_Gedrosia 18.41
3 Southern 17.80


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Hungarians @ 8.679881
2 Bulgarians @ 9.213031
3 Bulgarian @ 10.432737
4 N_Italian @ 10.933130
5 French @ 10.999126
6 Romanians @ 11.494071
7 French @ 12.140811
8 North_Italian @ 12.752199
9 Baleares @ 13.668897
10 Cataluna @ 14.102602
11 Mixed_Germanic @ 14.609112
12 Spaniards @ 14.643140
13 Extremadura @ 14.906806
14 Valencia @ 15.198932
15 Galicia @ 15.377445
16 Dutch @ 15.400028
17 Andalucia @ 15.463187
18 Spanish @ 15.648545
19 Castilla_La_Mancha @ 15.845430
20 Portuguese @ 16.004213

Using 2 populations approximation:
1 50% Greek +50% Lithuanian @ 1.320729


Using 3 populations approximation:
1 50% British +25% Druze +25% Lithuanians @ 1.122485


Using 4 populations approximation:
1 German + Druze + Lithuanians + Cornwall @ 1.038805
2 Orcadian + Lithuanians + Pais_Vasco + Armenians @ 1.040787
3 Druze + Lithuanians + Kent + Cornwall @ 1.057103
4 British + German + Druze + Lithuanians @ 1.066169
5 Druze + Lithuanians + Cornwall + Cornwall @ 1.072834
6 German + Druze + Lithuanians + Kent @ 1.073561
7 French_Basque + Orcadian + Lithuanians + Armenians @ 1.078779
8 British + Druze + Lithuanians + Kent @ 1.081137
9 Orcadian + Armenians + Lithuanians + Cantabria @ 1.081160
10 Druze + Lithuanians + Kent + Kent @ 1.090709
11 Lithuanians + Orkney + Pais_Vasco + Armenians @ 1.091692
12 British + Druze + Lithuanians + Cornwall @ 1.093091
13 French + Orcadian + Pais_Vasco + Chechens @ 1.099917
14 Mixed_Germanic + Druze + Orcadian + Lithuanians @ 1.104542
15 Armenian + Orcadian + Lithuanians + Pais_Vasco @ 1.105478
16 German + Orcadian + Cypriots + Ukranians @ 1.107067
17 Armenians + Lithuanians + Orkney + Cantabria @ 1.109283
18 French + French_Basque + Orcadian + Chechens @ 1.111339
19 French + French_Basque + Orcadian + Chechens @ 1.116608
20 British_Isles + Armenians + Lithuanians + Cantabria @ 1.117471

BalkanKiwi
06-04-2015, 09:18 AM
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 61.58
2 Caucasus_Gedrosia 18.41
3 Southern 17.80


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Hungarians @ 8.679881
2 Bulgarians @ 9.213031
3 Bulgarian @ 10.432737
4 N_Italian @ 10.933130
5 French @ 10.999126
6 Romanians @ 11.494071
7 French @ 12.140811
8 North_Italian @ 12.752199
9 Baleares @ 13.668897
10 Cataluna @ 14.102602
11 Mixed_Germanic @ 14.609112
12 Spaniards @ 14.643140
13 Extremadura @ 14.906806
14 Valencia @ 15.198932
15 Galicia @ 15.377445
16 Dutch @ 15.400028
17 Andalucia @ 15.463187
18 Spanish @ 15.648545
19 Castilla_La_Mancha @ 15.845430
20 Portuguese @ 16.004213

Using 2 populations approximation:
1 50% Greek +50% Lithuanian @ 1.320729


Using 3 populations approximation:
1 50% British +25% Druze +25% Lithuanians @ 1.122485


Using 4 populations approximation:
1 German + Druze + Lithuanians + Cornwall @ 1.038805
2 Orcadian + Lithuanians + Pais_Vasco + Armenians @ 1.040787
3 Druze + Lithuanians + Kent + Cornwall @ 1.057103
4 British + German + Druze + Lithuanians @ 1.066169
5 Druze + Lithuanians + Cornwall + Cornwall @ 1.072834
6 German + Druze + Lithuanians + Kent @ 1.073561
7 French_Basque + Orcadian + Lithuanians + Armenians @ 1.078779
8 British + Druze + Lithuanians + Kent @ 1.081137
9 Orcadian + Armenians + Lithuanians + Cantabria @ 1.081160
10 Druze + Lithuanians + Kent + Kent @ 1.090709
11 Lithuanians + Orkney + Pais_Vasco + Armenians @ 1.091692
12 British + Druze + Lithuanians + Cornwall @ 1.093091
13 French + Orcadian + Pais_Vasco + Chechens @ 1.099917
14 Mixed_Germanic + Druze + Orcadian + Lithuanians @ 1.104542
15 Armenian + Orcadian + Lithuanians + Pais_Vasco @ 1.105478
16 German + Orcadian + Cypriots + Ukranians @ 1.107067
17 Armenians + Lithuanians + Orkney + Cantabria @ 1.109283
18 French + French_Basque + Orcadian + Chechens @ 1.111339
19 French + French_Basque + Orcadian + Chechens @ 1.116608
20 British_Isles + Armenians + Lithuanians + Cantabria @ 1.117471

A fellow Balkan person, welcome to the forum :)

The Barnacle
06-04-2015, 10:02 AM
Afghan Pashtun barakzai


# Population Percent
1 Caucasus_Gedrosia 46.72
2 South_Asian 20.27
3 Atlantic_Baltic 15.72
4 Southern 11.49
5 Siberian 3.64
6 Amerindian 1.27
7 African 0.7
8 East_Asian 0.18

Single Population Sharing:

# Population (source) Distance
1 Tajiks (Yunusbayev) 11.55
2 Pathan (HGDP) 12.37
3 Turkmens (Yunusbayev) 15.36
4 Burusho (HGDP) 15.94
5 Balochi (HGDP) 16.19
6 Brahui (HGDP) 17.1
7 Makrani 17.6
8 Sindhi (HGDP) 19.28
9 Kumyks (Yunusbayev) 19.59
10 Lezgins (Behar) 19.96
11 Chechens (Yunusbayev) 20.23
12 North_Ossetians (Yunusbayev) 20.33
13 Iranian (Dodecad) 20.38
14 Balkars (Yunusbayev) 20.58
15 Adygei (HGDP) 20.64
16 Kalash 21.06
17 Iranians (Behar) 23.09
18 Bnei_Menashe_Jews 23.36
19 Kurd (Dodecad) 24.29
20 Kurds (Yunusbayev) 24.82

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 62.7% Pathan (HGDP) + 37.3% Balkars (Yunusbayev) @ 2
2 62.7% Pathan (HGDP) + 37.3% Adygei (HGDP) @ 2.15
3 63.2% Chechens (Yunusbayev) + 36.8% Brahmins_from_Tamil_Nadu (Metspalu) @ 2.22
4 61.5% Pathan (HGDP) + 38.5% Kumyks (Yunusbayev) @ 2.23
5 64.6% Chechens (Yunusbayev) + 35.4% GIH30 (Dodecad) @ 2.45
6 61% Chechens (Yunusbayev) + 39% Indian (Dodecad) @ 2.65
7 62.5% Pathan (HGDP) + 37.5% North_Ossetians (Yunusbayev) @ 2.68
8 70.9% Lezgins (Behar) + 29.1% Kurumba (Metspalu) @ 2.76
9 63.6% Lezgins (Behar) + 36.4% Brahmins_from_Tamil_Nadu (Metspalu) @ 2.82
10 67.6% Lezgins (Behar) + 32.4% INS30 (SGVP) @ 2.83
11 51.7% Sindhi (HGDP) + 48.3% Balkars (Yunusbayev) @ 2.83
12 51.7% Sindhi (HGDP) + 48.3% Adygei (HGDP) @ 2.84
13 71.7% Lezgins (Behar) + 28.3% Piramalai_Kallars (Metspalu) @ 2.87
14 69.1% Chechens (Yunusbayev) + 30.9% Velamas (Metspalu) @ 2.9
15 70.9% Lezgins (Behar) + 29.1% Kol (Metspalu) @ 2.96
16 70.1% Lezgins (Behar) + 29.9% Uttar_Pradesh_Scheduled_Caste (Metspalu) @ 2.97
17 70.4% Lezgins (Behar) + 29.6% Tamil_Nadu_Scheduled_Caste (Metspalu) @ 2.99
18 67.6% Lezgins (Behar) + 32.4% Muslim (Metspalu) @ 3
19 69.4% Lezgins (Behar) + 30.6% Velamas (Metspalu) @ 3.02
20 70.7% Lezgins (Behar) + 29.3% Dusadh (Metspalu) @ 3.02

Macura
06-04-2015, 08:12 PM
A fellow Balkan person, welcome to the forum :)

Thanks :)

basmaci
06-05-2015, 02:42 AM
# Population Percent
1 Caucasus_Gedrosia 33.38
2 Southern 25.8
3 Atlantic_Baltic 25.79
4 Siberian 5.21
5 East_Asian 4.79
6 South_Asian 2.34
7 Amerindian 1.88
8 Australasian 0.81

Single Population Sharing:

# Population (source) Distance
1 Turkish (Dodecad) 9.8
2 Turks (Behar) 12.12
3 Nogais (Yunusbayev) 14.46
4 Balkars (Yunusbayev) 15
5 Kumyks (Yunusbayev) 15.48
6 Adygei (HGDP) 16.04
7 Ashkenazy_Jews 16.87
8 Turkmens (Yunusbayev) 16.87
9 S_Italian (Dodecad) 17.29
10 Ashkenazi (Dodecad) 17.39
11 North_Ossetians (Yunusbayev) 17.39
12 Greek (Dodecad) 17.39
13 Armenians (Behar) 17.54
14 S_Italian_Sicilian (Dodecad) 17.64
15 Sicilian (Dodecad) 18.42
16 Chechens (Yunusbayev) 18.93
17 Sephardic_Jews (Behar) 19.35
18 Cypriots (Behar) 19.71
19 Tajiks (Yunusbayev) 20.58
20 C_Italian (Dodecad) 21.83

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 50.8% Turkmens (Yunusbayev) + 49.2% Greek (Dodecad) @ 2.61
2 50% Turkmens (Yunusbayev) + 50% Ashkenazy_Jews @ 3
3 56.6% Turkmens (Yunusbayev) + 43.4% C_Italian (Dodecad) @ 3.05
4 51.1% Turkmens (Yunusbayev) + 48.9% S_Italian_Sicilian (Dodecad) @ 3.33
5 52.3% Turkmens (Yunusbayev) + 47.7% Sicilian (Dodecad) @ 3.36
6 82.9% Turkish (Dodecad) + 17.1% Aleut @ 3.51
7 50.8% Turkmens (Yunusbayev) + 49.2% Ashkenazi (Dodecad) @ 3.56
8 50.6% Turkmens (Yunusbayev) + 49.4% S_Italian (Dodecad) @ 3.62
9 58% Turkmens (Yunusbayev) + 42% O_Italian (Dodecad) @ 3.77
10 54.4% Ashkenazi (Dodecad) + 45.6% Tajiks (Yunusbayev) @ 3.95
11 82.7% Turkish (Dodecad) + 17.3% Chuvashs (Behar) @ 4.01
12 57.7% Nogais (Yunusbayev) + 42.3% Sephardic_Jews (Behar) @ 4.2
13 61% Turkmens (Yunusbayev) + 39% Tuscan (HGDP) @ 4.23
14 54.6% S_Italian (Dodecad) + 45.4% Tajiks (Yunusbayev) @ 4.32
15 55.2% Ashkenazy_Jews + 44.8% Tajiks (Yunusbayev) @ 4.37
16 51.6% Sephardic_Jews (Behar) + 48.4% Tajiks (Yunusbayev) @ 4.38
17 79.7% Turks (Behar) + 20.3% Aleut @ 4.41
18 61.7% Turkmens (Yunusbayev) + 38.3% TSI30 (Metspalu) @ 4.43
19 54.1% S_Italian_Sicilian (Dodecad) + 45.9% Tajiks (Yunusbayev) @ 4.45
20 58.3% Nogais (Yunusbayev) + 41.7% Cypriots (Behar) @ 4.62

jortita
12-10-2017, 06:29 AM
Living DNA results for an outdated calculator

Admix Results (sorted):

# Population Percent
1 South_Asian 45.65
2 Caucasus_Gedrosia 24.41
3 East_Asian 14.39
4 Atlantic_Baltic 6.52
5 Siberian 4.14
6 Australasian 2.69
7 Amerindian 1.05
8 Southern 0.62
9 African 0.53

Single Population Sharing:

# Population (source) Distance
1 Cochin_Jews (Behar) 17.49
2 Kshatriya (Metspalu) 17.5
3 Brahmins_from_Uttar_Pradesh (Metspalu) 17.57
4 Indian (Dodecad) 17.86
5 Tharus (Metspalu) 18.05
6 Muslim (Metspalu) 18.9
7 Brahmins_from_Tamil_Nadu (Metspalu) 19.24
8 Dharkars (Metspalu) 19.57
9 INS30 (SGVP) 19.92
10 GIH30 (Dodecad) 20.23
11 Kanjars (Metspalu) 21.51
12 Kol (Metspalu) 21.97
13 Uttar_Pradesh_Scheduled_Caste (Metspalu) 22.05
14 Dusadh (Metspalu) 22.48
15 Gond (Metspalu) 23.04
16 Velamas (Metspalu) 23.14
17 Tamil_Nadu_Scheduled_Caste (Metspalu) 23.44
18 Chenchus (Metspalu) 23.44
19 Burusho (HGDP) 23.76
20 Bnei_Menashe_Jews 24.35

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 58.1% Burusho (HGDP) + 41.9% Kharia (Chaubey) @ 3.08
2 58.3% Burusho (HGDP) + 41.7% Savara (Chaubey) @ 3.19
3 57.9% Burusho (HGDP) + 42.1% Juang (Chaubey) @ 3.43
4 77.3% Kshatriya (Metspalu) + 22.7% Garo (Chaubey) @ 3.47
5 79.6% Tharus (Metspalu) + 20.4% Tu (HGDP) @ 3.48
6 70.1% Kshatriya (Metspalu) + 29.9% Khasi (Chaubey) @ 3.53
7 80.5% Tharus (Metspalu) + 19.5% Naga (Metspalu) @ 3.55
8 70.9% Kshatriya (Metspalu) + 29.1% PANIYA @ 3.58
9 58.6% Burusho (HGDP) + 41.4% Ho (Chaubey) @ 3.6
10 58.1% Burusho (HGDP) + 41.9% BONDA (Chaubey) @ 3.62
11 81% Tharus (Metspalu) + 19% JPT30 (Behar) @ 3.69
12 81% Tharus (Metspalu) + 19% Japanese (HGDP) @ 3.69
13 81.2% Tharus (Metspalu) + 18.8% Korean (Dodecad) @ 3.7
14 80.9% Tharus (Metspalu) + 19.1% Japanese (Dodecad) @ 3.72
15 81.1% Tharus (Metspalu) + 18.9% Yizu (HGDP) @ 3.73
16 80.9% Tharus (Metspalu) + 19.1% Naxi (HGDP) @ 3.74
17 76.6% Kshatriya (Metspalu) + 23.4% Burmanese (Chaubey) @ 3.9
18 70.9% Brahmins_from_Uttar_Pradesh (Metspalu) + 29.1% PANIYA @ 3.94
19 82% Tharus (Metspalu) + 18% CHB30 (Metspalu) @ 4.17
20 53.6% Pathan (HGDP) + 46.4% Juang (Chaubey) @ 4.19

Least-squares method.

Using 1 population approximation:
1 Brahmins_from_Uttaranchal @ 13.238410
2 Bengali @ 17.476383
3 Cochin_Jews @ 18.868128
4 Kshatriya @ 19.094530
5 Brahmins_from_Uttar_Pradesh @ 19.111107
6 Indian @ 19.493872
7 Lambadi @ 19.654066
8 Tharus @ 19.917074
9 Muslim @ 21.004564
10 Brahmins_from_Tamil_Nadu @ 21.101799
11 Meena @ 21.424250
12 Dharkars @ 21.772081
13 Kurmi @ 22.049370
14 Velamas @ 22.051498
15 INS30 @ 22.163027
16 GIH30 @ 22.276358
17 Meghawal @ 23.220621
18 Kanjars @ 24.041538
19 Uttar_Pradesh_Scheduled_Caste @ 24.749855
20 Kol @ 24.787594

Using 2 populations approximation:
1 50% Pathan +50% Juang @ 4.997402


Using 3 populations approximation:
1 50% Indian +25% Uygur +25% Savara @ 2.963287


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++
1 Tajiks + Gadaba + Brahmins_from_Uttaranchal + Dusadh @ 2.352847
2 Tajiks + Gadaba + Brahmins_from_Uttaranchal + Kol @ 2.442443
3 Tajiks + Gadaba + Brahmins_from_Uttaranchal + Piramalai_Kallars @ 2.444724
4 Tajiks + Gadaba + Brahmins_from_Uttaranchal + Kurumba @ 2.465945
5 Tajiks + Gadaba + Brahmins_from_Uttaranchal + Uttar_Pradesh_Scheduled_Caste @ 2.484285
6 Kalash + Uzbeks + ASUR + Dhurwa @ 2.504683
7 Uygur + GIH30 + Gadaba + Meena @ 2.510289
8 Tajiks + Juang + Brahmins_from_Uttaranchal + Piramalai_Kallars @ 2.535248
9 Kalash + Uzbeks + Santhal + Dhurwa @ 2.535713
10 Tajiks + Gadaba + Brahmins_from_Uttaranchal + Kanjars @ 2.542121
11 Kalash + Uzbeks + Santhal + Santhal @ 2.565680
12 Burusho + Pathan + MALAYAN + Khasi @ 2.566194
13 Tajiks + Kharia + Brahmins_from_Uttaranchal + Dusadh @ 2.566689
14 Burusho + Pathan + Malayan + Khasi @ 2.567074
15 Tajiks + Kharia + Brahmins_from_Uttaranchal + Kol @ 2.604635
16 Tajiks + Juang + Brahmins_from_Uttaranchal + Kurumba @ 2.604900
17 Kalash + Uzbeks + Santhal + Mawasi @ 2.605454
18 Tajiks + Savara + Brahmins_from_Uttaranchal + Dusadh @ 2.613245
19 Tajiks + BONDA + Brahmins_from_Uttaranchal + Piramalai_Kallars @ 2.631028
20 Kalash + Uygur + Santhal + Nihali @ 2.640791

michal3141
12-10-2017, 10:11 AM
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 72.31
2 Caucasus_Gedrosia 14.26
3 Southern 8.86
4 Siberian 2.51
5 Amerindian 1.27
6 South_Asian 0.68
7 African 0.1

Single Population Sharing:

# Population (source) Distance
1 Ukranians (Yunusbayev) 2.34
2 German (Dodecad) 4.43
3 Dutch (Dodecad) 4.47
4 Argyll (1000 Genomes) 5.05
5 CEU30 (1000Genomes) 5.08
6 Polish (Dodecad) 5.25
7 Mixed_Germanic (Dodecad) 5.32
8 British (Dodecad) 5.74
9 Kent (1000 Genomes) 5.85
10 Irish (Dodecad) 5.85
11 Cornwall (1000 Genomes) 6.03
12 Hungarians (Behar) 6.18
13 Orcadian (HGDP) 6.23
14 British_Isles (Dodecad) 6.32
15 Belorussian (Behar) 6.52
16 Russian_B (Behar) 6.62
17 Orkney (1000 Genomes) 6.64
18 Russian (Dodecad) 6.88
19 Mordovians (Yunusbayev) 8.62
20 Swedish (Dodecad) 8.81

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 87% Swedish (Dodecad) + 13% Turks (Behar) @ 1.04
2 92.1% Ukranians (Yunusbayev) + 7.9% Brazilian (Dodecad) @ 1.09
3 51.8% Hungarians (Behar) + 48.2% Russian_B (Behar) @ 1.14
4 88.8% Swedish (Dodecad) + 11.2% Kurd (Dodecad) @ 1.23
5 86.4% Swedish (Dodecad) + 13.6% Turkish (Dodecad) @ 1.25
6 91.8% Ukranians (Yunusbayev) + 8.2% Castilla_Y_Leon (1000 Genomes) @ 1.27
7 91.7% Ukranians (Yunusbayev) + 8.3% Castilla_La_Mancha (1000 Genomes) @ 1.27
8 91.7% Ukranians (Yunusbayev) + 8.3% Galicia (1000 Genomes) @ 1.27
9 91.1% Ukranians (Yunusbayev) + 8.9% Spanish (Dodecad) @ 1.27
10 95.2% Ukranians (Yunusbayev) + 4.8% Sardinian @ 1.28
11 88.7% Swedish (Dodecad) + 11.3% Kurds (Yunusbayev) @ 1.28
12 88.8% Swedish (Dodecad) + 11.2% Iranians (Behar) @ 1.28
13 91% Ukranians (Yunusbayev) + 9% Cantabria (1000 Genomes) @ 1.28
14 90.2% Ukranians (Yunusbayev) + 9.8% Cataluna (1000 Genomes) @ 1.28
15 91.1% Ukranians (Yunusbayev) + 8.9% Valencia (1000 Genomes) @ 1.29
16 92% Ukranians (Yunusbayev) + 8% Portuguese (Dodecad) @ 1.29
17 91.8% Ukranians (Yunusbayev) + 8.2% Extremadura (1000 Genomes) @ 1.29
18 91.3% Ukranians (Yunusbayev) + 8.7% Aragon (1000 Genomes) @ 1.29
19 88.8% Swedish (Dodecad) + 11.2% Uzbekistan_Jews @ 1.29
20 91.3% Ukranians (Yunusbayev) + 8.7% Spaniards (Behar) @ 1.3

kitbluee
12-10-2017, 12:50 PM
# Population Percent
1 Atlantic_Baltic 74.33
2 Caucasus_Gedrosia 12.84
3 Southern 10.50
4 Siberian 1.18


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 German_Dodecad @ 1.548363
2 Dutch_Dodecad @ 1.632942
3 CEU30_1000Genomes @ 2.307665
4 Mixed_Germanic_Dodecad @ 2.912168
5 British_Dodecad @ 3.038914
6 Argyll_1000 Genomes @ 3.107878
7 Kent_1000 Genomes @ 3.111661
8 Cornwall_1000 Genomes @ 3.299191
9 Irish_Dodecad @ 3.742000
10 British_Isles_Dodecad @ 3.827624
11 Orcadian_HGDP @ 4.145531
12 Ukranians_Yunusbayev @ 4.429209
13 Orkney_1000 Genomes @ 4.628409
14 Polish_Dodecad @ 4.794956
15 Belorussian_Behar @ 6.799519
16 Hungarians_Behar @ 7.237319
17 Norwegian_Dodecad @ 8.130342
18 Russian_B_Behar @ 8.225396
19 Swedish_Dodecad @ 8.297194
20 Russian_Dodecad @ 8.792463

Using 2 populations approximation:
1 50% Cornwall_1000 Genomes +50% Ukranians_Yunusbayev @ 0.877398


Using 3 populations approximation:
1 50% CEU30_1000Genomes +25% Belorussian_Behar +25% Hungarians_Behar @ 0.274725


Using 4 populations approximation:
1 Irish_Dodecad + Polish_Dodecad + French_HGDP + Ukranians_Yunusbayev @ 0.000000
2 Irish_Dodecad + Mixed_Germanic_Dodecad + Belorussian_Behar + Hungarians_Behar @ 0.000000
3 Irish_Dodecad + Lithuanian_Dodecad + N_Italian_Dodecad + Belorussian_Behar @ 0.000000
4 Polish_Dodecad + Lithuanian_Dodecad + North_Italian_HGDP + Belorussian_Behar @ 0.000000
5 Polish_Dodecad + French_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 0.000000
6 German_Dodecad + British_Isles_Dodecad + Belorussian_Behar + Hungarians_Behar @ 0.000000
7 Mixed_Germanic_Dodecad + British_Isles_Dodecad + Belorussian_Behar + Hungarians_Behar @ 0.000000
8 Mixed_Germanic_Dodecad + Belorussian_Behar + Hungarians_Behar + Orkney_1000 Genomes @ 0.000000
9 British_Isles_Dodecad + Dutch_Dodecad + Belorussian_Behar + Hungarians_Behar @ 0.000000
10 British_Isles_Dodecad + Hungarians_Behar + Orkney_1000 Genomes + Ukranians_Yunusbayev @ 0.000000
11 Dutch_Dodecad + Belorussian_Behar + Hungarians_Behar + Kent_1000 Genomes @ 0.000000
12 Dutch_Dodecad + Belorussian_Behar + Hungarians_Behar + Cornwall_1000 Genomes @ 0.000000
13 Polish_Dodecad + German_Dodecad + Hungarians_Behar + Argyll_1000 Genomes @ 0.252217
14 Mixed_Germanic_Dodecad + Belorussian_Behar + Hungarians_Behar + Argyll_1000 Genomes @ 0.257707
15 German_Dodecad + CEU30_1000Genomes + Belorussian_Behar + Hungarians_Behar @ 0.274725
16 CEU30_1000Genomes + CEU30_1000Genomes + Belorussian_Behar + Hungarians_Behar @ 0.274725
17 German_Dodecad + Belorussian_Behar + Hungarians_Behar + Cornwall_1000 Genomes @ 0.274775
18 Mixed_Germanic_Dodecad + Orcadian_HGDP + Belorussian_Behar + Hungarians_Behar @ 0.274825
19 British_Dodecad + Dutch_Dodecad + Belorussian_Behar + Hungarians_Behar @ 0.274875
20 Polish_Dodecad + Dutch_Dodecad + Hungarians_Behar + Orkney_1000 Genomes @ 0.276842

wilhelmhalys
01-20-2018, 11:48 PM
Least-squares method.

Using 1 population approximation:
1 Hungarians_Behar -> 3.942790
2 French_HGDP -> 4.161511
3 French_Dodecad -> 5.505869
4 Mixed_Germanic_Dodecad -> 7.289094
5 Dutch_Dodecad -> 8.372297
6 German_Dodecad -> 9.019129
7 CEU30_1000Genomes -> 9.386806
8 Cornwall_1000 Genomes -> 9.676145
9 Kent_1000 Genomes -> 9.895832
10 British_Dodecad -> 9.974137
11 Cataluna_1000 Genomes -> 10.869069
12 British_Isles_Dodecad -> 11.049500
13 Ukranians_Yunusbayev -> 11.139314
14 Argyll_1000 Genomes -> 11.855256
15 Irish_Dodecad -> 12.129104
16 Orcadian_HGDP -> 12.302197
17 Orkney_1000 Genomes -> 12.704832
18 Valencia_1000 Genomes -> 12.740108
19 Spaniards_Behar -> 12.984756
20 Spanish_Dodecad -> 13.044467

Using 2 populations approximation:
1 50% Russian_B_Behar +50% Baleares_1000 Genomes -> 2.222719


Using 3 populations approximation:
1 50% Swedish_Dodecad +25% Romanians_Behar +25% Canarias_1000 Genomes -> 0.908607


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++
1 Lithuanian_Dodecad + Romanians_Behar + Orkney_1000 Genomes + Canarias_1000 Genomes -> 0.622840
2 Irish_Dodecad + Lithuanian_Dodecad + Romanians_Behar + Canarias_1000 Genomes -> 0.657986
3 Lithuanian_Dodecad + Romanians_Behar + Argyll_1000 Genomes + Canarias_1000 Genomes -> 0.707036
4 Lithuanian_Dodecad + Orcadian_HGDP + Romanians_Behar + Canarias_1000 Genomes -> 0.719467
5 Swedish_Dodecad + Portuguese_Dodecad + Romanians_Behar + Argyll_1000 Genomes -> 0.793336
6 British_Isles_Dodecad + Lithuanian_Dodecad + Romanians_Behar + Canarias_1000 Genomes -> 0.804494
7 Lithuanian_Dodecad + CEU30_1000Genomes + Romanians_Behar + Murcia_1000 Genomes -> 0.821342
8 Swedish_Dodecad + Romanians_Behar + Argyll_1000 Genomes + Extremadura_1000 Genomes -> 0.845104
9 British_Dodecad + Lithuanian_Dodecad + Romanians_Behar + Murcia_1000 Genomes -> 0.854463
10 Orcadian_HGDP + Lithuanians + Romanians_Behar + Canarias_1000 Genomes -> 0.855334
11 Lithuanians + Romanians_Behar + Orkney_1000 Genomes + Canarias_1000 Genomes -> 0.859132
12 Irish_Dodecad + Lithuanians + Romanians_Behar + Canarias_1000 Genomes -> 0.868783
13 British_Isles_Dodecad + Lithuanian_Dodecad + Romanians_Behar + Murcia_1000 Genomes -> 0.892394
14 Swedish_Dodecad + Romanians_Behar + Argyll_1000 Genomes + Galicia_1000 Genomes -> 0.901177
15 Swedish_Dodecad + Swedish_Dodecad + Romanians_Behar + Canarias_1000 Genomes -> 0.908607
16 Swedish_Dodecad + Swedish_Dodecad + Romanians_Behar + Murcia_1000 Genomes -> 0.910418
17 British_Isles_Dodecad + Lithuanians + Romanians_Behar + Canarias_1000 Genomes -> 0.911265
18 Lithuanians + Romanians_Behar + Argyll_1000 Genomes + Canarias_1000 Genomes -> 0.913837
19 Irish_Dodecad + Swedish_Dodecad + Romanians_Behar + Extremadura_1000 Genomes -> 0.921434
20 Portuguese_Dodecad + Belorussian_Behar + Romanians_Behar + Orkney_1000 Genomes -> 0.921669

KingofPhoenicia001
01-21-2018, 11:24 PM
Admix Results (sorted):

# Population Percent
1 Southern 40.42
2 Caucasus_Gedrosia 33.35
3 Atlantic_Baltic 18.6
4 African 4.58
5 South_Asian 2.34
6 Amerindian 0.71

Single Population Sharing:

# Population (source) Distance
1 Cypriots (Behar) 6.81
2 Lebanese (Behar) 7.84
3 Syrians (Behar) 9.92
4 Druze (HGDP) 11.41
5 Sephardic_Jews (Behar) 11.66
6 Turkish (Dodecad) 11.75
7 Jordanians (Behar) 12.09
8 Morocco_Jews (Behar) 12.83
9 Palestinian (HGDP) 12.98
10 Georgia_Jews (Behar) 14.13
11 Turks (Behar) 14.4
12 Armenians (Behar) 15.55
13 Uzbekistan_Jews 16.62
14 S_Italian (Dodecad) 16.63
15 Ashkenazi (Dodecad) 16.91
16 Armenian (Dodecad) 17.36
17 S_Italian_Sicilian (Dodecad) 17.42
18 Assyrian (Dodecad) 17.58
19 Ashkenazy_Jews 17.9
20 Azerbaijan_Jews 17.97

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 84.7% Syrians (Behar) + 15.3% French (Dodecad) @ 1.23
2 83.7% Syrians (Behar) + 16.3% Cataluna (1000 Genomes) @ 1.33
3 82.4% Syrians (Behar) + 17.6% Extremadura (1000 Genomes) @ 1.41
4 80.4% Syrians (Behar) + 19.6% N_Italian (Dodecad) @ 1.45
5 83.4% Syrians (Behar) + 16.6% Valencia (1000 Genomes) @ 1.46
6 83.1% Syrians (Behar) + 16.9% Spaniards (Behar) @ 1.46
7 82.7% Syrians (Behar) + 17.3% Galicia (1000 Genomes) @ 1.46
8 82% Syrians (Behar) + 18% Baleares (1000 Genomes) @ 1.48
9 83.5% Syrians (Behar) + 16.5% Spanish (Dodecad) @ 1.48
10 84.1% Syrians (Behar) + 15.9% Cantabria (1000 Genomes) @ 1.49
11 80.4% Syrians (Behar) + 19.6% North_Italian (HGDP) @ 1.51
12 85.9% Syrians (Behar) + 14.1% Pais_Vasco (1000 Genomes) @ 1.51
13 82.6% Syrians (Behar) + 17.4% Portuguese (Dodecad) @ 1.53
14 85.9% Syrians (Behar) + 14.1% French_Basque @ 1.53
15 83% Syrians (Behar) + 17% Castilla_La_Mancha (1000 Genomes) @ 1.57
16 81.7% Syrians (Behar) + 18.3% Brazilian (Dodecad) @ 1.57
17 74.3% Syrians (Behar) + 25.7% O_Italian (Dodecad) @ 1.58
18 86.2% Syrians (Behar) + 13.8% Cornwall (1000 Genomes) @ 1.58
19 82.3% Syrians (Behar) + 17.7% Andalucia (1000 Genomes) @ 1.6
20 86.5% Syrians (Behar) + 13.5% British_Isles (Dodecad) @ 1.61

Thracian88
01-22-2018, 01:59 PM
# Population Percent
1 Atlantic_Baltic 45.36
2 Caucasus_Gedrosia 26.6
3 Southern 24.73
4 Siberian 1.07
5 South_Asian 0.81
6 Amerindian 0.73
7 Australasian 0.71

Single Population Sharing:

# Population (source) Distance
1 Romanians (Behar) 8.42
2 Bulgarian (Dodecad) 8.53
3 O_Italian (Dodecad) 8.57
4 Bulgarians (Yunusbayev) 9.75
5 Tuscan (HGDP) 10.07
6 C_Italian (Dodecad) 10.14
7 Greek (Dodecad) 10.33
8 TSI30 (Metspalu) 10.42
9 Ashkenazy_Jews 14.76
10 N_Italian (Dodecad) 14.85
11 S_Italian_Sicilian (Dodecad) 15.48
12 Sicilian (Dodecad) 15.56
13 North_Italian (HGDP) 15.74
14 S_Italian (Dodecad) 16.05
15 Ashkenazi (Dodecad) 16.48
16 Baleares (1000 Genomes) 20.65
17 Murcia (1000 Genomes) 21.71
18 Brazilian (Dodecad) 21.87
19 Andalucia (1000 Genomes) 22.22
20 Canarias (1000 Genomes) 22.34

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 53.6% Norwegian (Dodecad) + 46.4% Iraq_Jews (Behar) @ 0.87
2 64.1% Hungarians (Behar) + 35.9% Iraq_Jews (Behar) @ 0.87
3 82.5% Bulgarian (Dodecad) + 17.5% Kurd (Dodecad) @ 0.94
4 82.4% Bulgarian (Dodecad) + 17.6% Kurds (Yunusbayev) @ 0.95
5 80.4% Bulgarians (Yunusbayev) + 19.6% Kurds (Yunusbayev) @ 1.08
6 80.5% Bulgarians (Yunusbayev) + 19.5% Kurd (Dodecad) @ 1.08
7 50.7% Norwegian (Dodecad) + 49.3% Georgia_Jews (Behar) @ 1.1
8 50.6% Swedish (Dodecad) + 49.4% Georgia_Jews (Behar) @ 1.11
9 53.5% Swedish (Dodecad) + 46.5% Iraq_Jews (Behar) @ 1.12
10 65.9% North_Italian (HGDP) + 34.1% Chechens (Yunusbayev) @ 1.14
11 64.7% Hungarians (Behar) + 35.3% Iranian_Jews (Behar) @ 1.14
12 61.4% Hungarians (Behar) + 38.6% Georgia_Jews (Behar) @ 1.16
13 82.3% Bulgarian (Dodecad) + 17.7% Uzbekistan_Jews @ 1.17
14 82.7% Bulgarian (Dodecad) + 17.3% Iranians (Behar) @ 1.19
15 59.6% Baleares (1000 Genomes) + 40.4% Chechens (Yunusbayev) @ 1.21
16 66.1% N_Italian (Dodecad) + 33.9% Adygei (HGDP) @ 1.22
17 58.1% British (Dodecad) + 41.9% Iranian_Jews (Behar) @ 1.24
18 79.1% Bulgarian (Dodecad) + 20.9% Armenians (Behar) @ 1.25
19 80.3% Bulgarians (Yunusbayev) + 19.7% Uzbekistan_Jews @ 1.25
20 55.3% Ukranians (Yunusbayev) + 44.7% Druze (HGDP) @ 1.28

JFWinstone
01-22-2018, 04:46 PM
Mine


Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 56.30
2 Caucasus_Gedrosia 10.50
3 East_Asian 9.93
4 Southern 9.86
5 African 7.66
6 South_Asian 3.73
7 Siberian 1.58


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Hungarians_Behar @ 18.538809
2 Brazilian_Dodecad @ 19.078882
3 Romanians_Behar @ 20.304420
4 French_HGDP @ 20.322664
5 French_Dodecad @ 20.976957
6 Bulgarians_Yunusbayev @ 21.035784
7 Bulgarian_Dodecad @ 21.614979
8 Mixed_Germanic_Dodecad @ 21.892376
9 Ukranians_Yunusbayev @ 21.903849
10 N_Italian_Dodecad @ 22.221140
11 Extremadura_1000 Genomes @ 22.223719
12 Cataluna_1000 Genomes @ 22.352770
13 Dutch_Dodecad @ 22.401201
14 Mordovians_Yunusbayev @ 22.446348
15 Portuguese_Dodecad @ 22.612768
16 Baleares_1000 Genomes @ 22.656509
17 Galicia_1000 Genomes @ 22.691391
18 German_Dodecad @ 22.717775
19 Spaniards_Behar @ 22.722828
20 CEU30_1000Genomes @ 22.774212

Using 2 populations approximation:
1 50% PUR30 +50% Mordovians_Yunusbayev @ 12.405417


Using 3 populations approximation:
1 50% Norwegian_Dodecad +25% Uygur_HGDP +25% Puerto_Rican @ 8.238623


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++
1 Lithuanian_Dodecad + Uygur_HGDP + Puerto_Rican + Orkney_1000 Genomes @ 8.079214
2 Norwegian_Dodecad + Lithuanian_Dodecad + Uygur_HGDP + Puerto_Rican @ 8.085306
3 Uygur_HGDP + Lithuanians + Puerto_Rican + Orkney_1000 Genomes @ 8.104507
4 Norwegian_Dodecad + Uygur_HGDP + Lithuanians + Puerto_Rican @ 8.113898
5 Lithuanian_Dodecad + Orcadian_HGDP + Uygur_HGDP + Puerto_Rican @ 8.115261
6 Orcadian_HGDP + Uygur_HGDP + Lithuanians + Puerto_Rican @ 8.141445
7 British_Isles_Dodecad + Lithuanian_Dodecad + Uygur_HGDP + Puerto_Rican @ 8.159204
8 Lithuanian_Dodecad + Uygur_HGDP + PUR30 + Orkney_1000 Genomes @ 8.172572
9 British_Isles_Dodecad + Uygur_HGDP + Lithuanians + Puerto_Rican @ 8.177282
10 Swedish_Dodecad + Lithuanian_Dodecad + Uygur_HGDP + Puerto_Rican @ 8.179790
11 Lithuanian_Dodecad + Orcadian_HGDP + Uygur_HGDP + PUR30 @ 8.184978
12 Irish_Dodecad + Lithuanian_Dodecad + Uygur_HGDP + Puerto_Rican @ 8.197108
13 Uygur_HGDP + Lithuanians + PUR30 + Orkney_1000 Genomes @ 8.209001
14 British_Isles_Dodecad + Lithuanian_Dodecad + Uygur_HGDP + PUR30 @ 8.210799
15 Swedish_Dodecad + Uygur_HGDP + Lithuanians + Puerto_Rican @ 8.210984
16 Irish_Dodecad + Uygur_HGDP + Lithuanians + Puerto_Rican @ 8.221956
17 Orcadian_HGDP + Uygur_HGDP + Lithuanians + PUR30 @ 8.222330
18 Norwegian_Dodecad + Norwegian_Dodecad + Uygur_HGDP + Puerto_Rican @ 8.238623
19 British_Isles_Dodecad + Uygur_HGDP + Lithuanians + PUR30 @ 8.248759
20 British_Dodecad + Lithuanian_Dodecad + Uygur_HGDP + Puerto_Rican @ 8.252292


Mum


Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 37.74
2 East_Asian 19.99
3 African 16.82
4 Caucasus_Gedrosia 8.13
5 South_Asian 7.06
6 Southern 6.15
7 Siberian 2.18
8 Australasian 1.40


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Puerto_Rican @ 29.817068
2 PUR30 @ 30.072315
3 Brazilian_Dodecad @ 34.965706
4 Romanians_Behar @ 35.540852
5 Dominican @ 35.698097
6 CLM30 @ 37.119843
7 Bulgarian_Dodecad @ 37.677181
8 Bulgarians_Yunusbayev @ 37.893661
9 Chuvashs_Behar @ 37.948761
10 Uzbeks_Behar @ 38.193264
11 Aleut @ 38.376316
12 Nogais_Yunusbayev @ 38.980789
13 Uygur_HGDP @ 39.241299
14 O_Italian_Dodecad @ 39.825245
15 N_Italian_Dodecad @ 39.982681
16 Canarias_1000 Genomes @ 40.177784
17 Tuscan_HGDP @ 40.224335
18 TSI30_Metspalu @ 40.237267
19 AthabaskHD4 @ 40.358349
20 North_Italian_HGDP @ 40.618950

Using 2 populations approximation:
1 50% German_Dodecad +50% PANIYA @ 20.023756


Using 3 populations approximation:
1 50% Russian_Dodecad +25% MKK30_Dodecad +25% MAS30_SGVP @ 3.404291


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +
1 MKK30_Dodecad + Belorussian_Behar + MAS30_SGVP + Mordovians_Yunusbayev @ 3.331667
2 Lithuanian_Dodecad + MKK30_Dodecad + MAS30_SGVP + Mordovians_Yunusbayev @ 3.333066
3 MKK30_Dodecad + Russian_B_Behar + MAS30_SGVP + Mordovians_Yunusbayev @ 3.349858
4 Russian_HGDP + MKK30_Dodecad + Russian_B_Behar + MAS30_SGVP @ 3.399638
5 Russian_Dodecad + Russian_Dodecad + MKK30_Dodecad + MAS30_SGVP @ 3.404291
6 Russian_Dodecad + MKK30_Dodecad + Russian_B_Behar + MAS30_SGVP @ 3.414672
7 MKK30_Dodecad + Lithuanians + MAS30_SGVP + Mordovians_Yunusbayev @ 3.436323
8 Russian_Dodecad + MKK30_Dodecad + MAS30_SGVP + Mordovians_Yunusbayev @ 3.442325
9 Russian_HGDP + MKK30_Dodecad + Belorussian_Behar + MAS30_SGVP @ 3.448193
10 MKK30_Dodecad + Russian_B_Behar + Russian_B_Behar + MAS30_SGVP @ 3.471263
11 Russian_Dodecad + Russian_HGDP + MKK30_Dodecad + MAS30_SGVP @ 3.499355
12 Polish_Dodecad + MKK30_Dodecad + MAS30_SGVP + Mordovians_Yunusbayev @ 3.568804
13 Cambodians_HGDP + MKK30_Dodecad + Belorussian_Behar + Mordovians_Yunusbayev @ 3.579841
14 Lithuanian_Dodecad + Cambodians_HGDP + MKK30_Dodecad + Mordovians_Yunusbayev @ 3.589179
15 Cambodians_HGDP + MKK30_Dodecad + Russian_B_Behar + Mordovians_Yunusbayev @ 3.617684
16 Polish_Dodecad + Russian_HGDP + MKK30_Dodecad + MAS30_SGVP @ 3.645572
17 Russian_Dodecad + Russian_Dodecad + Cambodians_HGDP + MKK30_Dodecad @ 3.663436
18 Swedish_Dodecad + MKK30_Dodecad + MAS30_SGVP + Mordovians_Yunusbayev @ 3.670134
19 Russian_Dodecad + Cambodians_HGDP + MKK30_Dodecad + Russian_B_Behar @ 3.677170
20 Cambodians_HGDP + Russian_HGDP + MKK30_Dodecad + Russian_B_Behar @ 3.678453


Dad


Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 76.35
2 Caucasus_Gedrosia 11.98
3 Southern 11.27


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Kent_1000 Genomes @ 1.473447
2 German_Dodecad @ 1.654163
3 British_Dodecad @ 1.706356
4 CEU30_1000Genomes @ 1.798751
5 Cornwall_1000 Genomes @ 1.840783
6 British_Isles_Dodecad @ 2.064624
7 Irish_Dodecad @ 2.204224
8 Dutch_Dodecad @ 2.263756
9 Argyll_1000 Genomes @ 2.353145
10 Orcadian_HGDP @ 2.523969
11 Orkney_1000 Genomes @ 2.974555
12 Mixed_Germanic_Dodecad @ 3.258656
13 Polish_Dodecad @ 4.954372
14 Ukranians_Yunusbayev @ 6.565894
15 Norwegian_Dodecad @ 6.939067
16 Belorussian_Behar @ 7.053829
17 Swedish_Dodecad @ 7.406543
18 Hungarians_Behar @ 9.094526
19 Russian_B_Behar @ 9.419199
20 French_HGDP @ 10.080856

Using 2 populations approximation:
1 50% Irish_Dodecad +50% German_Dodecad @ 1.022642


Using 3 populations approximation:
1 50% German_Dodecad +25% Orcadian_HGDP +25% Kent_1000 Genomes @ 0.972226


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++
1 Irish_Dodecad + German_Dodecad + German_Dodecad + Kent_1000 Genomes @ 0.928434
2 German_Dodecad + Kent_1000 Genomes + Kent_1000 Genomes + Argyll_1000 Genomes @ 0.942017
3 German_Dodecad + German_Dodecad + Orcadian_HGDP + Kent_1000 Genomes @ 0.972226
4 Irish_Dodecad + Irish_Dodecad + Mixed_Germanic_Dodecad + Kent_1000 Genomes @ 0.974359
5 Irish_Dodecad + Irish_Dodecad + German_Dodecad + Mixed_Germanic_Dodecad @ 0.975175
6 Irish_Dodecad + German_Dodecad + Kent_1000 Genomes + Kent_1000 Genomes @ 0.986417
7 Irish_Dodecad + German_Dodecad + Mixed_Germanic_Dodecad + Orcadian_HGDP @ 0.988878
8 Irish_Dodecad + Irish_Dodecad + German_Dodecad + Dutch_Dodecad @ 0.999336
9 Irish_Dodecad + Mixed_Germanic_Dodecad + Kent_1000 Genomes + Argyll_1000 Genomes @ 1.001635
10 Irish_Dodecad + German_Dodecad + German_Dodecad + Cornwall_1000 Genomes @ 1.003319
11 Dutch_Dodecad + Kent_1000 Genomes + Kent_1000 Genomes + Argyll_1000 Genomes @ 1.006590
12 German_Dodecad + German_Dodecad + Kent_1000 Genomes + Argyll_1000 Genomes @ 1.00944
13 Irish_Dodecad + Dutch_Dodecad + Kent_1000 Genomes + Kent_1000 Genomes @ 1.012693
14 Irish_Dodecad + German_Dodecad + Dutch_Dodecad + Kent_1000 Genomes @ 1.014835
15 Irish_Dodecad + German_Dodecad + British_Isles_Dodecad + Dutch_Dodecad @ 1.018247
16 German_Dodecad + Kent_1000 Genomes + Cornwall_1000 Genomes + Argyll_1000 Genomes @ 1.019709
17 Irish_Dodecad + Irish_Dodecad + Mixed_Germanic_Dodecad + Dutch_Dodecad @ 1.020160
18 Irish_Dodecad + German_Dodecad + German_Dodecad + British_Isles_Dodecad @ 1.022254
19 Irish_Dodecad + Irish_Dodecad + German_Dodecad + German_Dodecad @ 1.022642
20 German_Dodecad + German_Dodecad + Orcadian_HGDP + Cornwall_1000 Genomes @ 1.023232

maydonez
01-23-2018, 07:14 PM
Ethnicity: Adyghe(Abzakh) + Chechen

My results for Dodecat World9:

Caucasus-Gedrosia: 45.97
Southern: 28.13
Atlantic_Baltic: 18.89
South_Asian: 3.96
Siberian: 2.07


What does Southern mean btw? Southern what? Europe? Asia?

Sapporo
01-23-2018, 08:29 PM
Ethnicity: Adyghe(Abzakh) + Chechen

My results for Dodecat World9:

Caucasus-Gedrosia: 45.97
Southern: 28.13
Atlantic_Baltic: 18.89
South_Asian: 3.96
Siberian: 2.07


What does Southern mean btw? Southern what? Europe? Asia?
Southern peaks in Southwest Asia (such as Saudis + Samaritans + some Levantine Arabs). So Eastern Mediterranean and Arabia.

https://docs.google.com/spreadsheets/d/1byA81ZksJ_GnxEPqp0zKkjNKIf5N25a7snRr-WWqh_8/htmlview

This isn’t a good calculator though (it’s quite outdated too). For example, the Atlantic_Baltic and Southern components are very poorly defined components.

I’m South Asian. Here are my results.

Admix Results (sorted):

# Population Percent
1 Caucasus_Gedrosia 43.18
2 South_Asian 37.44
3 Atlantic_Baltic 12.45
4 Southern 3.52
5 Siberian 2.03
6 Amerindian 1.32
7 African 0.05

sammygene
01-23-2018, 09:05 PM
# Population Percent

1) Atlantic_Baltic 71.16
2) Caucasus_Gedrosia 13.02
3) Southern 12.3
4) South_Asian 1.46
5) Siberian 0.98
6) Amerindian 0.76
7) African 0.3

Mabuhay
01-24-2018, 03:50 PM
Admix Results (sorted):

# Population Percent
1 East_Asian 85.54
2 Atlantic_Baltic 3.3
3 Siberian 2.72
4 Southern 2.63
5 Australasian 2.45
6 Amerindian 1.95
7 South_Asian 0.95
8 African 0.46

Vestri
01-25-2018, 06:39 PM
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 72.45
2 Southern 12.73
3 Caucasus_Gedrosia 12.67
4 Siberian 0.96
5 Amerindian 0.53
6 South_Asian 0.47
7 Australasian 0.19

Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 1.727396
2 Dutch_Dodecad @ 2.295100
3 German_Dodecad @ 2.846143
4 CEU30_1000Genomes @ 3.617908
5 Cornwall_1000 Genomes @ 4.079784
6 Kent_1000 Genomes @ 4.122535
7 British_Dodecad @ 4.257390
8 Hungarians_Behar @ 4.902313
9 British_Isles_Dodecad @ 5.354685
10 Argyll_1000 Genomes @ 5.764629
11 Irish_Dodecad @ 6.080881
12 Ukranians_Yunusbayev @ 6.319236
13 Orcadian_HGDP @ 6.359934
14 French_HGDP @ 6.799885
15 Orkney_1000 Genomes @ 6.815377
16 Polish_Dodecad @ 7.732528
17 French_Dodecad @ 7.969563
18 Belorussian_Behar @ 9.700563
19 Norwegian_Dodecad @ 10.658816
20 Russian_B_Behar @ 10.758492

Using 2 populations approximation:
1 50% British_Isles_Dodecad +50% Hungarians_Behar @ 0.000000


Using 3 populations approximation:
1 50% British_Isles_Dodecad +25% Hungarians_Behar +25% Hungarians_Behar @ 0.000000


Using 4 populations approximation:
++++++++++++++
1 British_Dodecad + Swedish_Dodecad + Lithuanian_Dodecad + Tuscan_HGDP @ 0.000000
2 British_Dodecad + Norwegian_Dodecad + Lithuanian_Dodecad + Tuscan_HGDP @ 0.000000
3 British_Dodecad + Norwegian_Dodecad + Lithuanian_Dodecad + TSI30_Metspalu @ 0.000000
4 British_Dodecad + British_Isles_Dodecad + Hungarians_Behar + Hungarians_Behar @ 0.000000
5 Irish_Dodecad + French_Dodecad + Hungarians_Behar + Ukranians_Yunusbayev @ 0.000000
6 Polish_Dodecad + German_Dodecad + French_Dodecad + Hungarians_Behar @ 0.000000
7 Polish_Dodecad + German_Dodecad + Swedish_Dodecad + N_Italian_Dodecad @ 0.000000
8 Polish_Dodecad + German_Dodecad + French_HGDP + Hungarians_Behar @ 0.000000
9 Polish_Dodecad + British_Isles_Dodecad + North_Italian_HGDP + Belorussian_Behar @ 0.000000
10 Polish_Dodecad + French_HGDP + CEU30_1000Genomes + Hungarians_Behar @ 0.000000
11 Polish_Dodecad + North_Italian_HGDP + Orcadian_HGDP + Belorussian_Behar @ 0.000000
12 Polish_Dodecad + North_Italian_HGDP + Belorussian_Behar + Orkney_1000 Genomes @ 0.000000
13 German_Dodecad + Norwegian_Dodecad + Lithuanian_Dodecad + TSI30_Metspalu @ 0.000000
14 German_Dodecad + Norwegian_Dodecad + N_Italian_Dodecad + Belorussian_Behar @ 0.000000
15 French_Dodecad + Dutch_Dodecad + Belorussian_Behar + Hungarians_Behar @ 0.000000
16 French_Dodecad + Hungarians_Behar + Orkney_1000 Genomes + Ukranians_Yunusbayev @ 0.000000
17 Swedish_Dodecad + Dutch_Dodecad + North_Italian_HGDP + Belorussian_Behar @ 0.000000
18 Swedish_Dodecad + Lithuanian_Dodecad + Tuscan_HGDP + Kent_1000 Genomes @ 0.000000
19 Swedish_Dodecad + Lithuanian_Dodecad + Tuscan_HGDP + Cornwall_1000 Genomes @ 0.000000
20 Swedish_Dodecad + Lithuanian_Dodecad + TSI30_Metspalu + Kent_1000 Genomes @ 0.000000

ddloe
02-01-2018, 03:29 PM
# Population Percent
1 Southern 42.19
2 Caucasus_Gedrosia 33.99
3 Atlantic_Baltic 22.4
4 Siberian 0.97
5 East_Asian 0.15
6 Amerindian 0.14
7 African 0.12
8 South_Asian 0.03

Single Population Sharing:

# Population (source) Distance
1 Cypriots (Behar) 3.01
2 Sephardic_Jews (Behar) 8.98
3 Turkish (Dodecad) 11.4
4 Lebanese (Behar) 11.47
5 Morocco_Jews (Behar) 11.47
6 Druze (HGDP) 12.56
7 Syrians (Behar) 13.51
8 S_Italian (Dodecad) 13.76
9 Ashkenazi (Dodecad) 14.16
10 S_Italian_Sicilian (Dodecad) 14.59
11 Turks (Behar) 14.71
12 Georgia_Jews (Behar) 15.06
13 Ashkenazy_Jews 15.28
14 Armenians (Behar) 15.44
15 Sicilian (Dodecad) 15.58
16 Palestinian (HGDP) 16.64
17 Jordanians (Behar) 16.66
18 Uzbekistan_Jews 17.87
19 Armenian (Dodecad) 17.98
20 Assyrian (Dodecad) 18.45

Ype
02-01-2018, 06:24 PM
World9 Oracle results:

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 76.39
2 Caucasus_Gedrosia 12.04
3 Southern 9.06
4 Siberian 1.55
5 South_Asian 0.6
6 Amerindian 0.36

Single Population Sharing:

# Population (source) Distance
1 Argyll (1000 Genomes) 1.26
2 Irish (Dodecad) 1.85
3 Orcadian (HGDP) 2.28
4 Orkney (1000 Genomes) 2.51
5 Polish (Dodecad) 2.54
6 CEU30 (1000Genomes) 2.86
7 German (Dodecad) 2.89
8 British_Isles (Dodecad) 2.9
9 British (Dodecad) 2.98
10 Kent (1000 Genomes) 3.22
11 Dutch (Dodecad) 3.44
12 Cornwall (1000 Genomes) 3.53
13 Belorussian (Behar) 4.45
14 Ukranians (Yunusbayev) 4.52
15 Mixed_Germanic (Dodecad) 4.68
16 Norwegian (Dodecad) 4.99
17 Swedish (Dodecad) 5.16
18 Russian_B (Behar) 6.54
19 Russian (Dodecad) 7.25
20 Hungarians (Behar) 8.94

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 89.3% Polish (Dodecad) + 10.7% Aragon (1000 Genomes) @ 0.48
2 98.9% Argyll (1000 Genomes) + 1.1% Nganassan @ 0.49
3 88.9% Polish (Dodecad) + 11.1% Cantabria (1000 Genomes) @ 0.5
4 71.4% Lithuanian (Dodecad) + 28.6% North_Italian (HGDP) @ 0.54
5 98.7% Argyll (1000 Genomes) + 1.3% Dolgan @ 0.55
6 94.1% Polish (Dodecad) + 5.9% Sardinian @ 0.56
7 98.6% Argyll (1000 Genomes) + 1.4% Yukagir @ 0.56
8 98.4% Argyll (1000 Genomes) + 1.6% Selkup @ 0.56
9 98.9% Argyll (1000 Genomes) + 1.1% Evenk @ 0.56
10 89.2% Swedish (Dodecad) + 10.8% Greek (Dodecad) @ 0.57
11 98.6% Argyll (1000 Genomes) + 1.4% Ket @ 0.58
12 64.7% Orkney (1000 Genomes) + 35.3% Ukranians (Yunusbayev) @ 0.58
13 63.5% Swedish (Dodecad) + 36.5% Hungarians (Behar) @ 0.58
14 98.8% Argyll (1000 Genomes) + 1.2% Yakut (HGDP) @ 0.59
15 82.9% Swedish (Dodecad) + 17.1% Bulgarians (Yunusbayev) @ 0.61
16 86.2% Irish (Dodecad) + 13.8% Mordovians (Yunusbayev) @ 0.61
17 92.6% Swedish (Dodecad) + 7.4% Cypriots (Behar) @ 0.61
18 96% Argyll (1000 Genomes) + 4% Chuvashs (Behar) @ 0.62
19 98.7% Argyll (1000 Genomes) + 1.3% Koryak @ 0.63
20 89.4% Polish (Dodecad) + 10.6% Spanish (Dodecad) @ 0.63

Mstock
02-01-2018, 08:46 PM
# Population Percent
1 Atlantic_Baltic 70.35
2 Southern 15.45
3 Caucasus_Gedrosia 11.26
4 Siberian 1.65
5 South_Asian 1.29


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 French_HGDP @ 3.587418
2 Mixed_Germanic_Dodecad @ 4.481899
3 Hungarians_Behar @ 4.634800
4 French_Dodecad @ 4.787295
5 Dutch_Dodecad @ 5.729542
6 German_Dodecad @ 6.317027
7 CEU30_1000Genomes @ 6.575072
8 Cornwall_1000 Genomes @ 6.652493
9 Kent_1000 Genomes @ 6.865083
10 British_Dodecad @ 6.992523
11 British_Isles_Dodecad @ 8.001781
12 Argyll_1000 Genomes @ 9.197037
13 Irish_Dodecad @ 9.288149
14 Orcadian_HGDP @ 9.436887
15 Ukranians_Yunusbayev @ 9.678996
16 Orkney_1000 Genomes @ 9.753607
17 Polish_Dodecad @ 11.320666
18 Cataluna_1000 Genomes @ 11.674020
19 Belorussian_Behar @ 13.246056
20 Cantabria_1000 Genomes @ 13.427877

Using 2 populations approximation:
1 50% Cataluna_1000 Genomes +50% Ukranians_Yunusbayev @ 1.412957


Using 3 populations approximation:
1 50% Swedish_Dodecad +25% Romanians_Behar +25% Aragon_1000 Genomes @ 0.806423


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++
1 Swedish_Dodecad + Norwegian_Dodecad + Romanians_Behar + Cantabria_1000 Genomes @ 0.780345
2 Norwegian_Dodecad + French_Basque + Romanians_Behar + Ukranians_Yunusbayev @ 0.783608
3 Russian_Dodecad + French_HGDP + CEU30_1000Genomes + Baleares_1000 Genomes @ 0.791455
4 Russian_Dodecad + British_Isles_Dodecad + French_HGDP + Baleares_1000 Genomes @ 0.795302
5 British_Dodecad + Russian_Dodecad + French_HGDP + Baleares_1000 Genomes @ 0.797710
6 Russian_Dodecad + Dutch_Dodecad + French_HGDP + Galicia_1000 Genomes @ 0.805516
7 Swedish_Dodecad + Swedish_Dodecad + Romanians_Behar + Aragon_1000 Genomes @ 0.806423
8 Russian_Dodecad + Dutch_Dodecad + French_HGDP + Castilla_La_Mancha_1000 Genomes @ 0.812153
9 Russian_Dodecad + French_HGDP + Cornwall_1000 Genomes + Baleares_1000 Genomes @ 0.817825
10 Swedish_Dodecad + Norwegian_Dodecad + Romanians_Behar + Aragon_1000 Genomes @ 0.822723
11 Norwegian_Dodecad + Norwegian_Dodecad + Romanians_Behar + Aragon_1000 Genomes @ 0.828100
12 Russian_Dodecad + Mixed_Germanic_Dodecad + French_HGDP + Spaniards_Behar @ 0.838712
13 Russian_Dodecad + French_Dodecad + CEU30_1000Genomes + Baleares_1000 Genomes @ 0.852230
14 Russian_Dodecad + British_Isles_Dodecad + Pais_Vasco_1000 Genomes + Bulgarians_Yunusbayev @ 0.853425
15 Norwegian_Dodecad + Norwegian_Dodecad + Romanians_Behar + Cantabria_1000 Genomes @ 0.859450
16 Russian_Dodecad + Mixed_Germanic_Dodecad + French_HGDP + Galicia_1000 Genomes @ 0.862578
17 Russian_Dodecad + British_Isles_Dodecad + French_Basque + Bulgarians_Yunusbayev @ 0.876555
18 British_Isles_Dodecad + French_Basque + Belorussian_Behar + Romanians_Behar @ 0.877520
19 Russian_Dodecad + Dutch_Dodecad + French_HGDP + Spaniards_Behar @ 0.880934
20 British_Dodecad + Russian_Dodecad + French_Dodecad + Baleares_1000 Genomes @ 0.881128

Mingle
02-01-2018, 09:23 PM
Admix Results (sorted):

# Population Percent
1 Caucasus_Gedrosia 46.66
2 South_Asian 27.16
3 Atlantic_Baltic 15.18
4 Southern 8.85
5 Siberian 0.77
6 Amerindian 0.75
7 East_Asian 0.62

Single Population Sharing:

# Population (source) Distance
1 Pathan (HGDP) 6.54
2 Burusho (HGDP) 11.67
3 Sindhi (HGDP) 13.68
4 Balochi (HGDP) 15.35
5 Tajiks (Yunusbayev) 16.85
6 Brahui (HGDP) 16.93
7 Makrani 18.41
8 Kalash 19.44
9 Bnei_Menashe_Jews 19.94
10 Turkmens (Yunusbayev) 21.35
11 Brahmins_from_Uttar_Pradesh (Metspalu) 24.35
12 Indian (Dodecad) 25.38
13 Lezgins (Behar) 25.73
14 Iranian (Dodecad) 25.84
15 Kumyks (Yunusbayev) 26.08
16 Cochin_Jews (Behar) 26.19
17 Chechens (Yunusbayev) 26.35
18 North_Ossetians (Yunusbayev) 26.88
19 Adygei (HGDP) 27.01
20 Balkars (Yunusbayev) 27.07

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 54.3% Lezgins (Behar) + 45.7% GIH30 (Dodecad) @ 0.86
2 50.3% Indian (Dodecad) + 49.7% Lezgins (Behar) @ 1.16
3 52.7% Lezgins (Behar) + 47.3% Brahmins_from_Tamil_Nadu (Metspalu) @ 1.26
4 60.1% Lezgins (Behar) + 39.9% Velamas (Metspalu) @ 1.62
5 57.9% Lezgins (Behar) + 42.1% INS30 (SGVP) @ 2
6 87.7% Pathan (HGDP) + 12.3% Greek (Dodecad) @ 2.13
7 51.3% Lezgins (Behar) + 48.7% Kshatriya (Metspalu) @ 2.3
8 62.3% Lezgins (Behar) + 37.7% Kurumba (Metspalu) @ 2.32
9 55.8% Lezgins (Behar) + 44.2% Tharus (Metspalu) @ 2.35
10 88.7% Pathan (HGDP) + 11.3% C_Italian (Dodecad) @ 2.37
11 53.7% Chechens (Yunusbayev) + 46.3% GIH30 (Dodecad) @ 2.39
12 88% Pathan (HGDP) + 12% S_Italian_Sicilian (Dodecad) @ 2.39
13 88.8% Pathan (HGDP) + 11.2% O_Italian (Dodecad) @ 2.39
14 88% Pathan (HGDP) + 12% S_Italian (Dodecad) @ 2.4
15 88% Pathan (HGDP) + 12% Ashkenazy_Jews @ 2.47
16 63.3% Lezgins (Behar) + 36.7% Piramalai_Kallars (Metspalu) @ 2.47
17 88.3% Pathan (HGDP) + 11.7% Sicilian (Dodecad) @ 2.47
18 57.9% Lezgins (Behar) + 42.1% Muslim (Metspalu) @ 2.48
19 89.3% Pathan (HGDP) + 10.7% Tuscan (HGDP) @ 2.52
20 89.4% Pathan (HGDP) + 10.6% TSI30 (Metspalu) @ 2.55

physical-anthro
05-25-2018, 09:38 PM
Amerindian 0.23
East_Asian -
African -
Atlantic_Baltic 75.72
Australasian 0.31
Siberian 1.46
Caucasus_Gedrosia 14.22
Southern 7.11
South_Asian 0.96

PoxVoldius
05-26-2018, 02:13 AM
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 73
2 Southern 11.98
3 Caucasus_Gedrosia 10.7
4 East_Asian 1.32
5 African 0.96
6 Siberian 0.9
7 South_Asian 0.84
8 Australasian 0.25
9 Amerindian 0.05

Single Population Sharing:

# Population (source) Distance
1 Mixed_Germanic (Dodecad) 2.3
2 CEU30 (1000Genomes) 2.58
3 Dutch (Dodecad) 2.65
4 German (Dodecad) 2.76
5 British (Dodecad) 3.04
6 Cornwall (1000 Genomes) 3.08
7 Kent (1000 Genomes) 3.22
8 British_Isles (Dodecad) 3.99
9 Argyll (1000 Genomes) 4.89
10 Irish (Dodecad) 4.93
11 Orcadian (HGDP) 4.99
12 Orkney (1000 Genomes) 5.31
13 Hungarians (Behar) 6.17
14 Ukranians (Yunusbayev) 6.48
15 Polish (Dodecad) 6.86
16 French (HGDP) 7.19
17 French (Dodecad) 8.05
18 Belorussian (Behar) 8.64
19 Norwegian (Dodecad) 8.71
20 Swedish (Dodecad) 9.13

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 69.3% Belorussian (Behar) + 30.7% Portuguese (Dodecad) 1.2
2 95.8% Cornwall (1000 Genomes) + 4.2% Uygur (HGDP) 1.29
3 95.8% British (Dodecad) + 4.2% Uygur (HGDP) 1.31
4 68.7% Belorussian (Behar) + 31.3% Castilla_Y_Leon (1000 Genomes) 1.33
5 95.9% Cornwall (1000 Genomes) + 4.1% Hazara (HGDP) 1.33
6 68.3% Belorussian (Behar) + 31.7% Galicia (1000 Genomes) 1.35
7 96% British (Dodecad) + 4% Hazara (HGDP) 1.36
8 74.2% Polish (Dodecad) + 25.8% Portuguese (Dodecad) 1.36
9 97.6% CEU30 (1000Genomes) + 2.4% Mongola (HGDP) 1.38
10 97.6% CEU30 (1000Genomes) + 2.4% Xibo (HGDP) 1.38
11 97.7% CEU30 (1000Genomes) + 2.3% Daur (HGDP) 1.38
12 97.7% CEU30 (1000Genomes) + 2.3% Hezhen (HGDP) 1.4
13 68.7% Belorussian (Behar) + 31.3% Extremadura (1000 Genomes) 1.4
14 97.6% CEU30 (1000Genomes) + 2.4% Ethiopian_Jews (Behar) 1.41
15 78.8% Polish (Dodecad) + 21.2% Canarias (1000 Genomes) 1.41
16 95.5% British (Dodecad) + 4.5% Uzbeks (Behar) 1.41
17 95.5% Cornwall (1000 Genomes) + 4.5% Uzbeks (Behar) 1.41
18 97.7% CEU30 (1000Genomes) + 2.3% Tu (HGDP) 1.41
19 97.7% CEU30 (1000Genomes) + 2.3% Ethiopians (Behar) 1.42
20 68.3% Belorussian (Behar) + 31.7% Castilla_La_Mancha (1000 Genomes) 1.42

oz
05-26-2018, 10:20 AM
1 Atlantic_Baltic 61.71
2 Caucasus_Gedrosia 19.69
3 Southern 15.92
4 Amerindian 1.05
5 Siberian 0.88
6 Australasian 0.51
7 African 0.23

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 7.58
2 Bulgarians (Yunusbayev) 9.38
3 Bulgarian (Dodecad) 10.36
4 French (HGDP) 10.88
5 Romanians (Behar) 11.02
6 French (Dodecad) 12.07
7 N_Italian (Dodecad) 12.31
8 Mixed_Germanic (Dodecad) 13.13
9 Dutch (Dodecad) 13.67
10 Ukranians (Yunusbayev) 13.87
11 North_Italian (HGDP) 14.06
12 German (Dodecad) 14.22
13 Cataluna (1000 Genomes) 14.82
14 Baleares (1000 Genomes) 14.92
15 CEU30 (1000Genomes) 15.01
16 Cornwall (1000 Genomes) 15.44
17 Kent (1000 Genomes) 15.5
18 Spaniards (Behar) 15.59
19 British (Dodecad) 15.66
20 Extremadura (1000 Genomes) 15.93

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 65.1% Lithuanians + 34.9% Cypriots (Behar) @ 0.98
2 65.1% Lithuanian (Dodecad) + 34.9% Cypriots (Behar) @ 0.99
3 73.9% Norwegian (Dodecad) + 26.1% Assyrian (Dodecad) @ 1.11
4 77.6% German (Dodecad) + 22.4% Armenians (Behar) @ 1.12
5 76.5% Polish (Dodecad) + 23.5% Druze (HGDP) @ 1.13
6 73.9% Norwegian (Dodecad) + 26.1% Azerbaijan_Jews @ 1.14
7 73.2% Swedish (Dodecad) + 26.8% Georgia_Jews (Behar) @ 1.14
8 71.7% Belorussian (Behar) + 28.3% Cypriots (Behar) @ 1.15
9 87.9% Hungarians (Behar) + 12.1% Georgians (Behar) @ 1.17
10 75.2% Norwegian (Dodecad) + 24.8% Iranian_Jews (Behar) @ 1.18
11 76.6% German (Dodecad) + 23.4% Turks (Behar) @ 1.21
12 74.8% Swedish (Dodecad) + 25.2% Iraq_Jews (Behar) @ 1.23
13 88.4% Hungarians (Behar) + 11.6% Abhkasians (Yunusbayev) @ 1.23
14 86.8% Hungarians (Behar) + 13.2% Armenians (Behar) @ 1.25
15 88.3% Hungarians (Behar) + 11.7% Kurds (Yunusbayev) @ 1.25
16 73.4% Orkney (1000 Genomes) + 26.6% Armenians (Behar) @ 1.26
17 71.8% Lithuanians + 28.2% Samaritians (Behar) @ 1.28
18 80% German (Dodecad) + 20% Armenian (Dodecad) @ 1.28
19 71.7% Irish (Dodecad) + 28.3% Turkish (Dodecad) @ 1.3
20 76.3% Orkney (1000 Genomes) + 23.7% Armenians (Yunusbayev) @ 1.3

I might as well put under my ethnicity: 75% European 25% Mountain Jew.

fmondella
06-27-2018, 08:33 PM
# Population Percent
1 Atlantic_Baltic 37.09
2 Southern 36.49
3 Caucasus_Gedrosia 24.31
4 African 1.63
5 South_Asian 0.45
6 East_Asian 0.04

Single Population Sharing:

# Population (source) Distance
1 Sicilian (Dodecad) 1.86
2 Ashkenazy_Jews 2.19
3 S_Italian_Sicilian (Dodecad) 2.43
4 S_Italian (Dodecad) 3.11
5 Ashkenazi (Dodecad) 3.42
6 Greek (Dodecad) 4.08
7 C_Italian (Dodecad) 6.97
8 O_Italian (Dodecad) 9.61
9 Sephardic_Jews (Behar) 10.41
10 Morocco_Jews (Behar) 12.03
11 Tuscan (HGDP) 12.52
12 TSI30 (Metspalu) 13.43
13 Cypriots (Behar) 19.27
14 Bulgarian (Dodecad) 19.58
15 Romanians (Behar) 19.82
16 Turkish (Dodecad) 20.46
17 Bulgarians (Yunusbayev) 20.6
18 North_Italian (HGDP) 21.24
19 N_Italian (Dodecad) 21.57
20 Canarias (1000 Genomes) 24.04

lrp1985
06-27-2018, 09:25 PM
World9 Oracle results:
Kit ZG8885093

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 63.12
2 Southern 25.31
3 Caucasus_Gedrosia 9.6
4 East_Asian 1.01
5 African 0.96

Single Population Sharing:

# Population (source) Distance
1 Spaniards (Behar) 2.84
2 Cataluna (1000 Genomes) 3.4
3 Valencia (1000 Genomes) 3.45
4 Baleares (1000 Genomes) 3.71
5 Galicia (1000 Genomes) 3.79
6 Spanish (Dodecad) 3.82
7 Extremadura (1000 Genomes) 3.84
8 Castilla_La_Mancha (1000 Genomes) 4.04
9 Andalucia (1000 Genomes) 4.46
10 Portuguese (Dodecad) 4.69
11 Castilla_Y_Leon (1000 Genomes) 4.7
12 Cantabria (1000 Genomes) 5.57
13 Aragon (1000 Genomes) 5.7
14 Murcia (1000 Genomes) 7.07
15 N_Italian (Dodecad) 7.72
16 North_Italian (HGDP) 7.78
17 French (Dodecad) 8.21
18 French (HGDP) 8.8
19 Canarias (1000 Genomes) 10.09
20 Brazilian (Dodecad) 11.52

jellybee
06-30-2018, 03:12 PM
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 47.51
2 East_Asian 29.17
3 Southern 8.11
4 Caucasus_Gedrosia 6.06
5 Amerindian 2.89
6 South_Asian 2.02
7 Australasian 1.73
8 Siberian 1.44
9 African 1.07

Single Population Sharing:

# Population (source) Distance
1 Brazilian (Dodecad) 32.54
2 Romanians (Behar) 32.67
3 Bulgarians (Yunusbayev) 33.84
4 Bulgarian (Dodecad) 33.86
5 Chuvashs (Behar) 34.16
6 Hungarians (Behar) 34.2
7 N_Italian (Dodecad) 34.91
8 Aleut 35.1
9 French (HGDP) 35.16
10 Extremadura (1000 Genomes) 35.35
11 Portuguese (Dodecad) 35.39
12 Baleares (1000 Genomes) 35.45
13 French (Dodecad) 35.47
14 North_Italian (HGDP) 35.56
15 Galicia (1000 Genomes) 35.66
16 Spaniards (Behar) 35.73
17 Cataluna (1000 Genomes) 35.79
18 Murcia (1000 Genomes) 35.82
19 Castilla_La_Mancha (1000 Genomes) 35.86
20 PUR30 35.89

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 66.10% CEU30 (1000Genomes) 33.90% Lahu 4.37
2 66.50% Mixed_Germanic (Dodecad) 33.50% Lahu 4.37
3 66.20% German (Dodecad) 33.80% Lahu 4.43
4 65.90% Cornwall (1000 Genomes) 34.10% Lahu 4.46
5 65.90% British (Dodecad) 34.10% Lahu 4.51
6 65.80% Kent (1000 Genomes) 34.20% Lahu 4.52
7 63.40% Kent (1000 Genomes) 36.60% Cambodians (HGDP) 4.53
8 66.20% Dutch (Dodecad) 33.80% Lahu 4.54
9 62.60% Kent (1000 Genomes) 37.40% MAS30 (SGVP) 4.56
10 63.80% German (Dodecad) 36.20% Cambodians (HGDP) 4.6
11 63.50% Cornwall (1000 Genomes) 36.50% Cambodians (HGDP) 4.61
12 63.50% British (Dodecad) 36.50% Cambodians (HGDP) 4.64
13 62.70% Cornwall (1000 Genomes) 37.30% MAS30 (SGVP) 4.64
14 63.80% CEU30 (1000Genomes) 36.20% Cambodians (HGDP) 4.68
15 62.70% British (Dodecad) 37.30% MAS30 (SGVP) 4.7
16 62.30% British_Isles (Dodecad) 37.70% MAS30 (SGVP) 4.74
17 63% German (Dodecad) 37% MAS30 (SGVP) 4.75
18 64.10% Mixed_Germanic (Dodecad) 35.90% Cambodians (HGDP) 4.77
19 63% CEU30 (1000Genomes) 37% MAS30 (SGVP) 4.78
20 63.10% British_Isles (Dodecad) 36.90% Cambodians (HGDP) 4.79

Using 2 populations approximation:
1 50% Norwegian_Dodecad +50% Burmanese_Chaubey - 12.546939


Using 3 populations approximation:
1 50% Russian_B_Behar +25% PUR30 +25% CDX30_1000Genomes - 6.161086


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++
1 CEU30_1000Genomes + Russian_B_Behar + PUR30 + CDX30_1000Genomes - 6.032074
2 Orcadian_HGDP + PUR30 + CDX30_1000Genomes + Mordovians_Yunusbayev - 6.032321
3 British_Dodecad + Russian_B_Behar + PUR30 + CDX30_1000Genomes - 6.049447
4 PUR30 + CDX30_1000Genomes + Orkney_1000 Genomes + Mordovians_Yunusbayev - 6.052827
5 Orcadian_HGDP + Russian_HGDP + PUR30 + CDX30_1000Genomes - 6.057907
6 Russian_HGDP + CEU30_1000Genomes + PUR30 + CDX30_1000Genomes - 6.059480
7 British_Isles_Dodecad + PUR30 + CDX30_1000Genomes + Mordovians_Yunusbayev - 6.059589
8 British_Dodecad + Russian_HGDP + PUR30 + CDX30_1000Genomes - 6.059669
9 Russian_HGDP + PUR30 + CDX30_1000Genomes + Cornwall_1000 Genomes - 6.060831
10 Dai_HGDP + Orcadian_HGDP + PUR30 + Mordovians_Yunusbayev - 6.062199
11 Dai_HGDP + CEU30_1000Genomes + Russian_B_Behar + PUR30 - 6.064421
12 Orcadian_HGDP + Russian_B_Behar + PUR30 + CDX30_1000Genomes - 6.074006
13 Russian_B_Behar + PUR30 + CDX30_1000Genomes + Cornwall_1000 Genomes - 6.075079
14 Hungarians_Behar + FIN30_1000Genomes + PUR30 + CDX30_1000Genomes - 6.075745
15 British_Dodecad + PUR30 + CDX30_1000Genomes + Mordovians_Yunusbayev - 6.076265
16 British_Isles_Dodecad + Russian_HGDP + PUR30 + CDX30_1000Genomes - 6.078035
17 British_Dodecad + Dai_HGDP + Russian_B_Behar + PUR30 - 6.081600
18 Dai_HGDP + PUR30 + Orkney_1000 Genomes + Mordovians_Yunusbayev - 6.082504
19 British_Isles_Dodecad + Russian_B_Behar + PUR30 + CDX30_1000Genomes - 6.083100
20 Russian_Dodecad + CEU30_1000Genomes + PUR30 + CDX30_1000Genomes - 6.083535

Magnetic
07-02-2018, 07:51 AM
# Population Percent

1 Caucasus_Gedrosia 46.84
2 Southern 32.02
3 Atlantic_Baltic 12.96
4 South_Asian 4.19
5 East_Asian 1.41
6 Amerindian 1.01
7 African 0.94
8 Siberian 0.63

Single Population Sharing:

# Population (source) Distance

1 Armenians (Behar) 5.9
2 Kurd (Dodecad) 5.92
3 Kurds (Yunusbayev) 6.06
4 Uzbekistan_Jews 6.61
5 Iranians (Behar) 6.83
6 Iranian (Dodecad) 7.18
7 Armenian (Dodecad) 7.39
8 Armenians (Yunusbayev) 7.4
9 Turks (Behar) 7.44
10 Azerbaijan_Jews 9.89
11 Georgians (Behar) 10.15
12 Turkish (Dodecad) 10.59
13 Assyrian (Dodecad) 10.6
14 Abhkasians (Yunusbayev) 11.96
15 Georgia_Jews (Behar) 12.09
16 Iranian_Jews (Behar) 14.04
17 Kumyks (Yunusbayev) 14.05
18 North_Ossetians (Yunusbayev) 14.77
19 Iraq_Jews (Behar) 14.91
20 Syrians (Behar) 15.13

Mixed Mode Population Sharing:

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

1 83.1% Kurd (Dodecad) + 16.9% Ashkenazi (Dodecad) @ 1.34
2 90.9% Kurd (Dodecad) + 9.1% Sardinian @ 1.38
3 83.8% Kurd (Dodecad) + 16.2% Sicilian (Dodecad) @ 1.4
4 83.4% Kurd (Dodecad) + 16.6% Ashkenazy_Jews @ 1.44
5 82.9% Kurd (Dodecad) + 17.1% S_Italian (Dodecad) @ 1.49
6 81.7% Kurd (Dodecad) + 18.3% Sephardic_Jews (Behar) @ 1.53
7 83.3% Kurd (Dodecad) + 16.7% S_Italian_Sicilian (Dodecad) @ 1.54
8 83% Kurd (Dodecad) + 17% Morocco_Jews (Behar) @ 1.58
9 71.5% Iranian (Dodecad) + 28.5% Cypriots (Behar) @ 1.63
10 90.4% Kurd (Dodecad) + 9.6% Canarias (1000 Genomes) @ 1.8
11 54% Armenians (Behar) + 46% Iranians (Behar) @ 1.92
12 86.5% Kurd (Dodecad) + 13.5% C_Italian (Dodecad) @ 1.96
13 65.1% Kurd (Dodecad) + 34.9% Turkish (Dodecad) @ 1.97
14 84.6% Kurd (Dodecad) + 15.4% Greek (Dodecad) @ 2.03
15 90.6% Kurd (Dodecad) + 9.4% Murcia (1000 Genomes) @ 2.03
16 83% Kurds (Yunusbayev) + 17% Morocco_Jews (Behar) @ 2.09
17 87.2% Kurd (Dodecad) + 12.8% O_Italian (Dodecad) @ 2.15
18 83.3% Kurds (Yunusbayev) + 16.7% Ashkenazi (Dodecad) @ 2.15
19 81.8% Kurds (Yunusbayev) + 18.2% Sephardic_Jews (Behar) @ 2.18
20 91% Kurds (Yunusbayev) + 9% Sardinian @ 2.2

Abd.H
07-03-2018, 01:26 AM
The spread sheet shows that average Atlanticrians_Baltic for Syrians is 9.4 while I have 15.5

my results
# Population Percent
1 Southern 40.09
2 Caucasus_Gedrosia 38.76
3 Atlantic_Baltic 15.5
4 South_Asian 2.17
5 African 2.04
6 East_Asian 0.85
7 Australasian 0.6

Single Population Sharing:

# Population (source) Distance
1 Lebanese (Behar) 6.9
2 Cypriots (Behar) 7.32
3 Syrians (Behar) 7.41
4 Druze (HGDP) 7.72
5 Georgia_Jews (Behar) 8.49
6 Turkish (Dodecad) 10.04
7 Uzbekistan_Jews 10.52
8 Armenians (Behar) 10.87
9 Turks (Behar) 11.14
10 Armenian (Dodecad) 11.29
11 Assyrian (Dodecad) 11.5
12 Azerbaijan_Jews 11.89
13 Armenians (Yunusbayev) 12.2
14 Jordanians (Behar) 13.04
15 Iraq_Jews (Behar) 13.37
16 Palestinian (HGDP) 13.86
17 Iranian_Jews (Behar) 14.85
18 Iranians (Behar) 15.64
19 Kurds (Yunusbayev) 16.17
20 Kurd (Dodecad) 16.18

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 63.4% Uzbekistan_Jews + 36.6% Morocco_Jews (Behar) @ 1.26
2 68.5% Cypriots (Behar) + 31.5% Iranians (Behar) @ 1.49
3 76.2% Iranian_Jews (Behar) + 23.8% Canarias (1000 Genomes) @ 1.61
4 78.6% Iraq_Jews (Behar) + 21.4% Brazilian (Dodecad) @ 2.09
5 61.1% Uzbekistan_Jews + 38.9% Sephardic_Jews (Behar) @ 2.15
6 76.7% Iranian_Jews (Behar) + 23.3% Murcia (1000 Genomes) @ 2.18
7 77.7% Iranian_Jews (Behar) + 22.3% Portuguese (Dodecad) @ 2.23
8 57% Druze (HGDP) + 43% Turkish (Dodecad) @ 2.25
9 85.6% Georgia_Jews (Behar) + 14.4% Brazilian (Dodecad) @ 2.34
10 60.5% Iranian_Jews (Behar) + 39.5% Sicilian (Dodecad) @ 2.35
11 84.2% Cypriots (Behar) + 15.8% Makrani @ 2.35
12 60% Iranian_Jews (Behar) + 40% Ashkenazy_Jews @ 2.35
13 76.8% Iranian_Jews (Behar) + 23.2% Brazilian (Dodecad) @ 2.4
14 77.6% Iranian_Jews (Behar) + 22.4% Extremadura (1000 Genomes) @ 2.41
15 59% Iranian_Jews (Behar) + 41% Ashkenazi (Dodecad) @ 2.43
16 60.7% Azerbaijan_Jews + 39.3% Morocco_Jews (Behar) @ 2.43
17 78.2% Iranian_Jews (Behar) + 21.8% Castilla_Y_Leon (1000 Genomes) @ 2.47
18 60% Armenians (Yunusbayev) + 40% Morocco_Jews (Behar) @ 2.47
19 77.9% Iranian_Jews (Behar) + 22.1% Galicia (1000 Genomes) @ 2.49
20 58.2% Syrians (Behar) + 41.8% Turkish (Dodecad) @ 2.5

Sizzles
07-03-2018, 11:09 AM
Kit Num: A198764
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com
World9 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.

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 57.93
2 Southern 21.51
3 Caucasus_Gedrosia 17.97
4 South_Asian 1.39


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Bulgarians_Yunusbayev @ 5.209372
2 Bulgarian_Dodecad @ 6.449278
3 N_Italian_Dodecad @ 6.579205
4 Romanians_Behar @ 7.503873
5 North_Italian_HGDP @ 8.450165
6 Baleares_1000 Genomes @ 11.077332
7 Extremadura_1000 Genomes @ 12.783128
8 TSI30_Metspalu @ 12.899697
9 Andalucia_1000 Genomes @ 13.068513
10 Spaniards_Behar @ 13.345938
11 Hungarians_Behar @ 13.371861
12 Galicia_1000 Genomes @ 13.488532
13 Tuscan_HGDP @ 13.729434
14 Cataluna_1000 Genomes @ 13.832983
15 Portuguese_Dodecad @ 13.882856
16 French_HGDP @ 13.950114
17 Castilla_La_Mancha_1000 Genomes @ 14.130434
18 Murcia_1000 Genomes @ 14.219641
19 Valencia_1000 Genomes @ 14.291637
20 Brazilian_Dodecad @ 14.293260

Using 2 populations approximation:
1 50% Greek_Dodecad +50% Orcadian_HGDP @ 1.368732


Using 3 populations approximation:
1 50% CEU30_1000Genomes +25% Azerbaijan_Jews +25% Pais_Vasco_1000 Genomes @ 0.850645


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++
1 Mixed_Germanic_Dodecad + CEU30_1000Genomes + Uzbekistan_Jews + Pais_Vasco_1000 Genomes @ 0.669765
2 French_Dodecad + British_Isles_Dodecad + French_Basque + Kurds_Yunusbayev @ 0.697015
3 French_Dodecad + French_Basque + Orcadian_HGDP + Kurds_Yunusbayev @ 0.711220
4 French_Dodecad + British_Isles_Dodecad + Pais_Vasco_1000 Genomes + Kurds_Yunusbayev @ 0.719424
5 Mixed_Germanic_Dodecad + French_Basque + CEU30_1000Genomes + Uzbekistan_Jews @ 0.730574
6 French_Dodecad + French_Basque + Orkney_1000 Genomes + Kurds_Yunusbayev @ 0.748436
7 Dutch_Dodecad + CEU30_1000Genomes + Uzbekistan_Jews + Pais_Vasco_1000 Genomes @ 0.754450
8 German_Dodecad + Mixed_Germanic_Dodecad + French_Basque + Uzbekistan_Jews @ 0.755015
9 French_Dodecad + Kurd_Dodecad + French_Basque + Orkney_1000 Genomes @ 0.770333
10 French_Dodecad + British_Isles_Dodecad + Kurd_Dodecad + French_Basque @ 0.772619
11 British_Isles_Dodecad + Orcadian_HGDP + Uzbekistan_Jews + Cantabria_1000 Genomes @ 0.775215
12 French_Dodecad + Kurd_Dodecad + French_Basque + Orcadian_HGDP @ 0.776366
13 British_Isles_Dodecad + Uzbekistan_Jews + Orkney_1000 Genomes + Aragon_1000 Genomes @ 0.780276
14 German_Dodecad + Mixed_Germanic_Dodecad + Uzbekistan_Jews + Pais_Vasco_1000 Genomes @ 0.788171
15 French_Basque + Orcadian_HGDP + Iranian_Jews_Behar + Argyll_1000 Genomes @ 0.790376
16 Dutch_Dodecad + French_Basque + CEU30_1000Genomes + Uzbekistan_Jews @ 0.792243
17 French_Dodecad + Orkney_1000 Genomes + Pais_Vasco_1000 Genomes + Kurds_Yunusbayev @ 0.794077
18 Orcadian_HGDP + Iranian_Jews_Behar + Argyll_1000 Genomes + Pais_Vasco_1000 Genomes @ 0.795250
19 British_Isles_Dodecad + Uzbekistan_Jews + Orkney_1000 Genomes + Cantabria_1000 Genomes @ 0.803757
20 French_Dodecad + Kurd_Dodecad + Orkney_1000 Genomes + Pais_Vasco_1000 Genomes @ 0.805423

Done.

Elapsed time 0.6487 seconds.

Bruma
10-11-2018, 06:45 PM
World9 Oracle results:

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 57.53
2 Southern 30.14
3 Caucasus_Gedrosia 8.17
4 African 3.38
5 Australasian 0.78

Single Population Sharing:

# Population (source) Distance
1 Murcia (1000 Genomes) 2.26
2 Canarias (1000 Genomes) 3.01
3 Andalucia (1000 Genomes) 4.01
4 Portuguese (Dodecad) 4.21
5 Extremadura (1000 Genomes) 4.34
6 Baleares (1000 Genomes) 4.79
7 Galicia (1000 Genomes) 5.28
8 Castilla_La_Mancha (1000 Genomes) 5.98
9 Castilla_Y_Leon (1000 Genomes) 6.05
10 Spaniards (Behar) 6.77
11 North_Italian (HGDP) 6.79
12 Valencia (1000 Genomes) 7.85
13 Spanish (Dodecad) 7.86
14 N_Italian (Dodecad) 7.96
15 Brazilian (Dodecad) 9.37
16 Cataluna (1000 Genomes) 9.45
17 Aragon (1000 Genomes) 9.57
18 Cantabria (1000 Genomes) 9.92
19 TSI30 (Metspalu) 12.37
20 Tuscan (HGDP) 13.13

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 84.5% Cantabria (1000 Genomes) + 15.5% Egyptans (Behar) @ 0.87
2 92.9% Portuguese (Dodecad) + 7.1% Egyptans (Behar) @ 0.98
3 94.9% Andalucia (1000 Genomes) + 5.1% Ethiopian_Jews (Behar) @ 1.02
4 87.4% Spanish (Dodecad) + 12.6% Egyptans (Behar) @ 1.06
5 95% Andalucia (1000 Genomes) + 5% Ethiopians (Behar) @ 1.07
6 93.4% Portuguese (Dodecad) + 6.6% Bedouin (HGDP) @ 1.16
7 92.8% Extremadura (1000 Genomes) + 7.2% Egyptans (Behar) @ 1.17
8 92.7% Andalucia (1000 Genomes) + 7.3% Moroccans (Behar) @ 1.18
9 87.4% Valencia (1000 Genomes) + 12.6% Egyptans (Behar) @ 1.18
10 85.8% Aragon (1000 Genomes) + 14.2% Yemenese (Behar) @ 1.19
11 85.4% Cantabria (1000 Genomes) + 14.6% Yemenese (Behar) @ 1.22
12 95.3% Andalucia (1000 Genomes) + 4.7% Somali (Dodecad) @ 1.24
13 93.5% Portuguese (Dodecad) + 6.5% Yemenese (Behar) @ 1.25
14 92.9% Portuguese (Dodecad) + 7.1% Palestinian (HGDP) @ 1.26
15 92.8% Portuguese (Dodecad) + 7.2% Jordanians (Behar) @ 1.26
16 87.9% Canarias (1000 Genomes) + 12.1% Hungarians (Behar) @ 1.27
17 90.7% Castilla_Y_Leon (1000 Genomes) + 9.3% Yemenese (Behar) @ 1.3
18 91.3% Galicia (1000 Genomes) + 8.7% Egyptans (Behar) @ 1.31
19 93.8% Portuguese (Dodecad) + 6.2% Saudis (Behar) @ 1.31
20 92.6% Andalucia (1000 Genomes) + 7.4% Mozabite @ 1.32


Using 2 populations approximation:
1 50% Canarias_1000 Genomes +50% Baleares_1000 Genomes @ 1.517088


Using 3 populations approximation:
1 50% Canarias_1000 Genomes +25% Murcia_1000 Genomes +25% Baleares_1000 Genomes @ 1.468615


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++
1 Portuguese_Dodecad + North_Italian_HGDP + Canarias_1000 Genomes + Canarias_1000 Genomes @ 1.043425
2 Portuguese_Dodecad + N_Italian_Dodecad + Canarias_1000 Genomes + Canarias_1000 Genomes @ 1.100404
3 North_Italian_HGDP + Canarias_1000 Genomes + Canarias_1000 Genomes + Extremadura_1000 Genomes @ 1.115379
4 North_Italian_HGDP + Canarias_1000 Genomes + Canarias_1000 Genomes + Galicia_1000 Genomes @ 1.236963
5 N_Italian_Dodecad + Canarias_1000 Genomes + Canarias_1000 Genomes + Extremadura_1000 Genomes @ 1.263750

PoxVoldius
10-11-2018, 07:58 PM
Dad

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 72.4
2 Southern 11.91
3 Caucasus_Gedrosia 11.8
4 African 1.93
5 East_Asian 0.94
6 Siberian 0.51
7 Australasian 0.51
8 Amerindian 0.01

Single Population Sharing:

# Population (source) Distance
1 Mixed_Germanic (Dodecad) 2.91
2 Dutch (Dodecad) 3.15
3 German (Dodecad) 3.32
4 CEU30 (1000Genomes) 3.49
5 British (Dodecad) 4.01
6 Cornwall (1000 Genomes) 4.09
7 Kent (1000 Genomes) 4.14
8 British_Isles (Dodecad) 5.02
9 Argyll (1000 Genomes) 5.47
10 Hungarians (Behar) 5.61
11 Irish (Dodecad) 5.66
12 Orcadian (HGDP) 5.8
13 Orkney (1000 Genomes) 6.18
14 Ukranians (Yunusbayev) 6.29
15 Polish (Dodecad) 7.18
16 French (HGDP) 7.29
17 French (Dodecad) 8.28
18 Belorussian (Behar) 8.93
19 Norwegian (Dodecad) 9.46
20 Swedish (Dodecad) 9.84

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 97.1% German (Dodecad) + 2.9% MKK30 (Dodecad) @ 1.12
2 97.2% German (Dodecad) + 2.8% Sandawe_He @ 1.15
3 96.7% German (Dodecad) + 3.3% Somali (Dodecad) @ 1.23
4 97.4% Dutch (Dodecad) + 2.6% Sandawe_He @ 1.29
5 97.4% German (Dodecad) + 2.6% Hadza_He @ 1.29
6 96.7% German (Dodecad) + 3.3% Ethiopians (Behar) @ 1.3
7 98% Mixed_Germanic (Dodecad) + 2% San @ 1.32
8 97.4% Dutch (Dodecad) + 2.6% MKK30 (Dodecad) @ 1.32
9 98.1% Mixed_Germanic (Dodecad) + 1.9% Biaka_Pygmies @ 1.32
10 98.1% Mixed_Germanic (Dodecad) + 1.9% Mbuti_Pygmies @ 1.32
11 97.6% Dutch (Dodecad) + 2.4% Hadza_He @ 1.32
12 97.8% Mixed_Germanic (Dodecad) + 2.2% San_He @ 1.32
13 98.1% Mixed_Germanic (Dodecad) + 1.9% Bantu_S.E._Tswana (HGDP) @ 1.32
14 98% Mixed_Germanic (Dodecad) + 2% Bantu_S.W._Herero (HGDP) @ 1.32
15 98.1% Mixed_Germanic (Dodecad) + 1.9% Yoruba (HGDP) @ 1.32
16 98.1% Mixed_Germanic (Dodecad) + 1.9% YRI30 (HGDP) @ 1.33
17 97.8% Dutch (Dodecad) + 2.2% Bantu_N.E. (HGDP) @ 1.34
18 97.8% Mixed_Germanic (Dodecad) + 2.2% ACB30 @ 1.34
19 97.6% Mixed_Germanic (Dodecad) + 2.4% ASW30 (HapMap3) @ 1.35
20 97.8% Dutch (Dodecad) + 2.2% LWK30 (Behar) @ 1.35

Mom

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 72.51
2 Southern 12.49
3 Caucasus_Gedrosia 11.59
4 South_Asian 2.04
5 Australasian 0.96
6 Amerindian 0.41

Single Population Sharing:

# Population (source) Distance
1 Mixed_Germanic (Dodecad) 1.95
2 Dutch (Dodecad) 2.46
3 German (Dodecad) 2.89
4 CEU30 (1000Genomes) 3.04
5 Cornwall (1000 Genomes) 3.42
6 British (Dodecad) 3.58
7 Kent (1000 Genomes) 3.64
8 British_Isles (Dodecad) 4.55
9 Argyll (1000 Genomes) 5.27
10 Irish (Dodecad) 5.43
11 Hungarians (Behar) 5.47
12 Orcadian (HGDP) 5.51
13 Orkney (1000 Genomes) 5.9
14 French (HGDP) 6.64
15 Ukranians (Yunusbayev) 6.67
16 Polish (Dodecad) 7.38
17 French (Dodecad) 7.6
18 Belorussian (Behar) 9.22
19 Norwegian (Dodecad) 9.6
20 Swedish (Dodecad) 9.97

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 95.7% Cornwall (1000 Genomes) + 4.3% Bnei_Menashe_Jews @ 0.97
2 98.3% Mixed_Germanic (Dodecad) + 1.7% Paniya (Chaubey) @ 1.03
3 98.4% Mixed_Germanic (Dodecad) + 1.6% MALAYAN (Behar) @ 1.04
4 98.4% Mixed_Germanic (Dodecad) + 1.6% Malayan (Chaubey) @ 1.04
5 98.3% Mixed_Germanic (Dodecad) + 1.7% Pulliyar (Metspalu) @ 1.05
6 95.5% Kent (1000 Genomes) + 4.5% Bnei_Menashe_Jews @ 1.05
7 98.2% Mixed_Germanic (Dodecad) + 1.8% Nihali (Metspalu) @ 1.06
8 98.3% Mixed_Germanic (Dodecad) + 1.7% SAKILLI @ 1.1
9 98.3% Mixed_Germanic (Dodecad) + 1.7% Sakilli (Chaubey) @ 1.1
10 98.3% Mixed_Germanic (Dodecad) + 1.7% ASUR (Chaubey) @ 1.1
11 98.2% Mixed_Germanic (Dodecad) + 1.8% Gond (Metspalu) @ 1.11
12 98.3% Mixed_Germanic (Dodecad) + 1.7% North_Kannadi @ 1.11
13 98.3% Mixed_Germanic (Dodecad) + 1.7% Hakkipikki (Metspalu) @ 1.11
14 98.2% Mixed_Germanic (Dodecad) + 1.8% Chamar (Metspalu) @ 1.12
15 98.3% Mixed_Germanic (Dodecad) + 1.7% Ho (Chaubey) @ 1.13
16 98.2% Mixed_Germanic (Dodecad) + 1.8% Chenchus (Metspalu) @ 1.14
17 98.3% Mixed_Germanic (Dodecad) + 1.7% Savara (Chaubey) @ 1.14
18 98.3% Mixed_Germanic (Dodecad) + 1.7% Kharia (Chaubey) @ 1.15
19 95.6% British (Dodecad) + 4.4% Bnei_Menashe_Jews @ 1.15
20 98.3% Mixed_Germanic (Dodecad) + 1.7% Piramalai_Kallars (Metspalu) @ 1.16

Charlie X
10-12-2018, 01:38 AM
World9 Oracle results:

Admix Results (sorted):

# Population Percent

1 Atlantic Baltic 66.59
2 Southern 16.48
3 Caucasus_Gedrosia 14.9
4 South_Asian 1.64
5 Siberian 0.19
6 African 0.09
7 East_Asian 0.08
8 Australasian 0.04

Single Population Sharing:

# Population (source) Distance

1 Hungarians (Behar) 3.4
2 French (HGDP) 4.99
3 French (Dodecad) 6.32
4 Mixed_Germanic (Dodecad) 7.68
5 Dutch (Dodecad) 8.57
6 German (Dodecad) 9.24
7 CEU30 (1000Genomes) 9.79
8 Cornwall (1000 Genomes) 10.02
9 Kent (1000 Genomes) 10.18
10 British (Dodecad) 10.35
11 Ukranians (Yunusbayev) 10.89
12 Cataluna (1000 Genomes) 10.92
13 British_Isles (Dodecad) 11.32
14 Argyll (1000 Genomes) 11.84
15 Irish (Dodecad) 12.16
16 Orcadian (HGDP) 12.38
17 Valencia (1000 Genomes) 12.59
18 Spaniards (Behar) 12.65
19 Orkney (1000 Genomes) 12.79
20 Spanish (Dodecad) 12.94

Mixed Mode Population Sharing:

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

1 66.8% Mixed_Germanic (Dodecad) + 33.2% Romanians (Behar) @ 0.84
2 84.3% CEU30 (1000Genomes) + 15.7% Cypriots (Behar) @ 0.85
3 88.9% Mixed_Germanic (Dodecad) + 11.1% Syrians (Behar) @ 0.88
4 89.1% Dutch (Dodecad) + 10.9% Samaritians (Behar) @ 0.9
5 89% Mixed_Germanic (Dodecad) + 11% Druze (HGDP) @ 0.93
6 81.1% Dutch (Dodecad) + 18.9% S_Italian (Dodecad) @ 0.93
7 80.4% Dutch (Dodecad) + 19.6% Ashkenazy_Jews @ 0.94
8 60.6% Cornwall (1000 Genomes) + 39.4% Romanians (Behar) @ 0.94
9 76% CEU30 (1000Genomes) + 24% Greek (Dodecad) @ 0.94
10 84.5% British_Isles (Dodecad) + 15.5% Druze (HGDP) @ 0.95
11 81.1% Dutch (Dodecad) + 18.9% Ashkenazi (Dodecad) @ 0.98
12 78.8% Argyll (1000 Genomes) + 21.2% Sephardic_Jews (Behar) @ 0.98
13 87.2% Cornwall (1000 Genomes) + 12.8% Iraq_Jews (Behar) @ 0.99
14 80.8% Dutch (Dodecad) + 19.2% S_Italian_Sicilian (Dodecad) @ 0.99
15 60.2% Kent (1000 Genomes) + 39.8% Romanians (Behar) @ 1
16 83.8% Dutch (Dodecad) + 16.2% Sephardic_Jews (Behar) @ 1.01
17 89.9% Mixed_Germanic (Dodecad) + 10.1% Iraq_Jews (Behar) @ 1.01
18 78.4% Dutch (Dodecad) + 21.6% Greek (Dodecad) @ 1.01
19 86.4% CEU30 (1000Genomes) + 13.6% Druze (HGDP) @ 1.02
20 69.6% Argyll (1000 Genomes) + 30.4% C_Italian (Dodecad) @ 1.02

Trelvern
01-06-2019, 03:47 PM
World9 Oracle results:

Admix Results (sorted):

# Population Percent

1 Atlantic Baltic 66.59
2 Southern 16.48
3 Caucasus_Gedrosia 14.9
4 South_Asian 1.64
5 Siberian 0.19
6 African 0.09
7 East_Asian 0.08
8 Australasian 0.04

Single Population Sharing:

# Population (source) Distance

1 Hungarians (Behar) 3.4
2 French (HGDP) 4.99
3 French (Dodecad) 6.32
4 Mixed_Germanic (Dodecad) 7.68
5 Dutch (Dodecad) 8.57
6 German (Dodecad) 9.24
7 CEU30 (1000Genomes) 9.79
8 Cornwall (1000 Genomes) 10.02
9 Kent (1000 Genomes) 10.18
10 British (Dodecad) 10.35
11 Ukranians (Yunusbayev) 10.89
12 Cataluna (1000 Genomes) 10.92
13 British_Isles (Dodecad) 11.32
14 Argyll (1000 Genomes) 11.84
15 Irish (Dodecad) 12.16
16 Orcadian (HGDP) 12.38
17 Valencia (1000 Genomes) 12.59
18 Spaniards (Behar) 12.65
19 Orkney (1000 Genomes) 12.79
20 Spanish (Dodecad) 12.94

Mixed Mode Population Sharing:

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

1 66.8% Mixed_Germanic (Dodecad) + 33.2% Romanians (Behar) @ 0.84
2 84.3% CEU30 (1000Genomes) + 15.7% Cypriots (Behar) @ 0.85
3 88.9% Mixed_Germanic (Dodecad) + 11.1% Syrians (Behar) @ 0.88
4 89.1% Dutch (Dodecad) + 10.9% Samaritians (Behar) @ 0.9
5 89% Mixed_Germanic (Dodecad) + 11% Druze (HGDP) @ 0.93
6 81.1% Dutch (Dodecad) + 18.9% S_Italian (Dodecad) @ 0.93
7 80.4% Dutch (Dodecad) + 19.6% Ashkenazy_Jews @ 0.94
8 60.6% Cornwall (1000 Genomes) + 39.4% Romanians (Behar) @ 0.94
9 76% CEU30 (1000Genomes) + 24% Greek (Dodecad) @ 0.94
10 84.5% British_Isles (Dodecad) + 15.5% Druze (HGDP) @ 0.95
11 81.1% Dutch (Dodecad) + 18.9% Ashkenazi (Dodecad) @ 0.98
12 78.8% Argyll (1000 Genomes) + 21.2% Sephardic_Jews (Behar) @ 0.98
13 87.2% Cornwall (1000 Genomes) + 12.8% Iraq_Jews (Behar) @ 0.99
14 80.8% Dutch (Dodecad) + 19.2% S_Italian_Sicilian (Dodecad) @ 0.99
15 60.2% Kent (1000 Genomes) + 39.8% Romanians (Behar) @ 1
16 83.8% Dutch (Dodecad) + 16.2% Sephardic_Jews (Behar) @ 1.01
17 89.9% Mixed_Germanic (Dodecad) + 10.1% Iraq_Jews (Behar) @ 1.01
18 78.4% Dutch (Dodecad) + 21.6% Greek (Dodecad) @ 1.01
19 86.4% CEU30 (1000Genomes) + 13.6% Druze (HGDP) @ 1.02
20 69.6% Argyll (1000 Genomes) + 30.4% C_Italian (Dodecad) @ 1.02


top ten is the same

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 2.88
2 French (HGDP) 3.67
3 French (Dodecad) 5.04
4 Mixed_Germanic (Dodecad) 5.09
5 Dutch (Dodecad) 6.09
6 German (Dodecad) 6.65
7 CEU30 (1000Genomes) 7.23
8 Cornwall (1000 Genomes) 7.31
9 Kent (1000 Genomes) 7.45
10 British (Dodecad) 7.72

JMcB
01-06-2019, 05:17 PM
Here’s mine:

Admix Results (sorted):

# Population Percent
1 West_European 52.64
2 Mediterranean 29.70
3 East_European 9.60
4 West_Asian 7.31


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

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

Least-squares method.

Using 1 population approximation:
1 CEU_HapMap @ 4.555557
2 Orcadian_HGDP @ 6.230469
3 Orkney_1000 Genomes @ 6.719847
4 Argyll_1000 Genomes @ 7.212388
5 French_HGDP @ 7.279983
6 French_Dodecad @ 7.414901
7 N._European_Xing @ 7.510282
8 German_Dodecad @ 10.664362
9 Mixed_Germanic_Dodecad @ 11.666472
10 Dutch_Dodecad @ 11.997219
11 Kent_1000 Genomes @ 14.095139
12 British_Isles_Dodecad @ 16.208704
13 British_Dodecad @ 16.214840
14 Cornwall_1000 Genomes @ 16.792147
15 French_Basque_HGDP @ 19.300508
16 Slovenian_Xing @ 19.319284
17 Irish_Dodecad @ 19.666769
18 Swedish_Dodecad @ 21.506657
19 Norwegian_Dodecad @ 21.912163
20 Portuguese_Dodecad @ 22.579159

Using 2 populations approximation:
1 50% French_Dodecad +50% Argyll_1000 Genomes @ 2.169390


Using 3 populations approximation:
1 50% CEU_HapMap +25% North_Italian_HGDP +25% Norwegian_Dodecad @ 1.546016

Trelvern
01-09-2019, 06:15 PM
Here’s mine:

Admix Results (sorted):

# Population Percent
1 West_European 52.64
2 Mediterranean 29.70
3 East_European 9.60
4 West_Asian 7.31


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

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

Least-squares method.

Using 1 population approximation:
1 CEU_HapMap @ 4.555557
2 Orcadian_HGDP @ 6.230469
3 Orkney_1000 Genomes @ 6.719847
4 Argyll_1000 Genomes @ 7.212388
5 French_HGDP @ 7.279983
6 French_Dodecad @ 7.414901
7 N._European_Xing @ 7.510282
8 German_Dodecad @ 10.664362
9 Mixed_Germanic_Dodecad @ 11.666472
10 Dutch_Dodecad @ 11.997219
11 Kent_1000 Genomes @ 14.095139
12 British_Isles_Dodecad @ 16.208704
13 British_Dodecad @ 16.214840
14 Cornwall_1000 Genomes @ 16.792147
15 French_Basque_HGDP @ 19.300508
16 Slovenian_Xing @ 19.319284
17 Irish_Dodecad @ 19.666769
18 Swedish_Dodecad @ 21.506657
19 Norwegian_Dodecad @ 21.912163
20 Portuguese_Dodecad @ 22.579159

Using 2 populations approximation:
1 50% French_Dodecad +50% Argyll_1000 Genomes @ 2.169390


Using 3 populations approximation:
1 50% CEU_HapMap +25% North_Italian_HGDP +25% Norwegian_Dodecad @ 1.546016

My own mix
Irish/French=Brittany.


Using 2 populations approximation:
1 50% French_HGDP +50% Hungarians_Behar @ 1.350703


Using 3 populations approximation:
1 50% Irish_Dodecad +25% O_Italian_Dodecad +25% Kent_1000 Genomes @ 0.618680


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++
1 Irish_Dodecad + O_Italian_Dodecad + Orcadian_HGDP + Kent_1000 Genomes @ 0.593830
2 Irish_Dodecad + Irish_Dodecad + O_Italian_Dodecad + Kent_1000 Genomes @ 0.618680
3 Irish_Dodecad + German_Dodecad + O_Italian_Dodecad + Orkney_1000 Genomes @ 0.618805
4 German_Dodecad + German_Dodecad + Orcadian_HGDP + TSI30_Metspalu @ 0.619330
5 O_Italian_Dodecad + Orcadian_HGDP + Orcadian_HGDP + Kent_1000 Genomes @ 0.624480

Garimund
01-09-2019, 06:21 PM
1 Atlantic_Baltic 71.98
2 Southern 15.44
3 Caucasus_Gedrosia 9.88
4 African 1.14


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 3.799541
2 French_HGDP @ 4.250871
3 French_Dodecad @ 4.836996
4 Dutch_Dodecad @ 5.166089
5 Cornwall_1000 Genomes @ 5.270946
6 CEU30_1000Genomes @ 5.484584
7 Kent_1000 Genomes @ 5.545136
8 German_Dodecad @ 5.561639
9 British_Dodecad @ 5.695049
10 British_Isles_Dodecad @ 6.601060
11 Hungarians_Behar @ 6.646322
12 Irish_Dodecad @ 8.143608
13 Orcadian_HGDP @ 8.180490
14 Argyll_1000 Genomes @ 8.310060
15 Orkney_1000 Genomes @ 8.437205
16 Ukranians_Yunusbayev @ 10.167503
17 Polish_Dodecad @ 10.775052
18 Cataluna_1000 Genomes @ 11.952271
19 Norwegian_Dodecad @ 12.374801
20 Belorussian_Behar @ 12.764986

Using 2 populations approximation:
1 50% Lithuanian_Dodecad +50% Andalucia_1000 Genomes @ 0.899388


Using 3 populations approximation:
1 50% Irish_Dodecad +25% British_Isles_Dodecad +25% Canarias_1000 Genomes @ 0.000000


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++
1 British_Dodecad + Swedish_Dodecad + Dutch_Dodecad + Canarias_1000 Genomes @ 0.000000
2 British_Dodecad + Orkney_1000 Genomes + Argyll_1000 Genomes + Canarias_1000 Genomes @ 0.000000
3 Irish_Dodecad + Irish_Dodecad + British_Isles_Dodecad + Canarias_1000 Genomes @ 0.000000
4 Irish_Dodecad + British_Isles_Dodecad + Argyll_1000 Genomes + Canarias_1000 Genomes @ 0.000000
5 Irish_Dodecad + Lithuanian_Dodecad + French_HGDP + Canarias_1000 Genomes @ 0.000000

Adam.Krauze
01-11-2019, 10:12 AM
# Population Percent
1 Atlantic_Baltic 75.33
2 Caucasus_Gedrosia 11.26
3 Southern 10.74
4 Siberian 1.03
5 South_Asian 0.91
6 Australasian 0.51
7 East_Asian 0.23

Single Population Sharing:

# Population (source) Distance
1 CEU30 (1000Genomes) 1.12
2 British (Dodecad) 1.3
3 German (Dodecad) 1.44
4 Kent (1000 Genomes) 1.68
5 Cornwall (1000 Genomes) 1.85
6 Dutch (Dodecad) 1.92
7 British_Isles (Dodecad) 1.98
8 Argyll (1000 Genomes) 2.4
9 Irish (Dodecad) 2.45
10 Orcadian (HGDP) 2.62
11 Mixed_Germanic (Dodecad) 2.82
12 Orkney (1000 Genomes) 2.9
13 Polish (Dodecad) 4.55
14 Ukranians (Yunusbayev) 5.46
15 Norwegian (Dodecad) 6.36
16 Belorussian (Behar) 6.44
17 Swedish (Dodecad) 6.77
18 Hungarians (Behar) 7.73
19 Russian_B (Behar) 8.29
20 Russian (Dodecad) 8.92

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 90.9% British (Dodecad) + 9.1% Mordovians (Yunusbayev) 0.48
2 82.1% British (Dodecad) + 17.9% Ukranians (Yunusbayev) 0.51
3 80.7% Polish (Dodecad) + 19.3% Aragon (1000 Genomes) 0.61
4 87.5% Cornwall (1000 Genomes) + 12.5% Mordovians (Yunusbayev) 0.65
5 79.9% Polish (Dodecad) + 20.1% Cantabria (1000 Genomes) 0.66
6 89% British (Dodecad) + 11% Russian (Dodecad) 0.69
7 71.1% Mixed_Germanic (Dodecad) + 28.9% Swedish (Dodecad) 0.69
8 96.1% British (Dodecad) + 3.9% Chuvashs (Behar) 0.71
9 84% Cornwall (1000 Genomes) + 16% Russian (Dodecad) 0.72
10 74.6% Belorussian (Behar) + 25.4% Aragon (1000 Genomes) 0.74
11 91.3% CEU30 (1000Genomes) + 8.7% Russian (Dodecad) 0.74
12 57.2% French (HGDP) + 42.8% Lithuanian (Dodecad) 0.75
13 88.7% British (Dodecad) + 11.3% Russian_B (Behar) 0.75
14 89% Kent (1000 Genomes) + 11% Mordovians (Yunusbayev) 0.76
15 91% CEU30 (1000Genomes) + 9% Russian_B (Behar) 0.77
16 94.3% CEU30 (1000Genomes) + 5.7% FIN30 (1000Genomes) 0.79
17 63.3% Lithuanians + 36.7% Baleares (1000 Genomes) 0.8
18 57.6% French (HGDP) + 42.4% Lithuanians 0.8
19 93.9% CEU30 (1000Genomes) + 6.1% Mordovians (Yunusbayev) 0.8
20 83.2% Cornwall (1000 Genomes) + 16.8% Russian_B (Behar) 0.8

NixYO
05-30-2019, 10:49 PM
My Dodecad World9 results (23andMe v5):

Oracle:
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 77.1
2 Caucasus_Gedrosia 9.09
3 Southern 8.46
4 Siberian 3.72
5 Australasian 0.61
6 South_Asian 0.6
7 Amerindian 0.43

Single Population Sharing:

# Population (source) Distance
1 Orkney (1000 Genomes) 3.73
2 Norwegian (Dodecad) 4.02
3 Orcadian (HGDP) 4.03
4 Irish (Dodecad) 4.08
5 Argyll (1000 Genomes) 4.27
6 British_Isles (Dodecad) 4.31
7 Swedish (Dodecad) 4.39
8 Polish (Dodecad) 4.57
9 British (Dodecad) 4.68
10 CEU30 (1000Genomes) 4.97
11 Kent (1000 Genomes) 5.05
12 Cornwall (1000 Genomes) 5.27
13 Belorussian (Behar) 5.43
14 German (Dodecad) 5.44
15 Dutch (Dodecad) 6.03
16 Russian_B (Behar) 6.75
17 Mixed_Germanic (Dodecad) 6.81
18 Ukranians (Yunusbayev) 6.83
19 Russian (Dodecad) 7.14
20 FIN30 (1000Genomes) 9.18

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 64.5% Cornwall (1000 Genomes) + 35.5% Finnish (Dodecad) @ 1.08
2 67.3% British (Dodecad) + 32.7% Finnish (Dodecad) @ 1.09
3 63.9% Cornwall (1000 Genomes) + 36.1% FIN30 (1000Genomes) @ 1.15
4 65.6% Kent (1000 Genomes) + 34.4% Finnish (Dodecad) @ 1.15
5 66.8% British (Dodecad) + 33.2% FIN30 (1000Genomes) @ 1.18
6 65% Kent (1000 Genomes) + 35% FIN30 (1000Genomes) @ 1.22
7 58.3% Mixed_Germanic (Dodecad) + 41.7% Finnish (Dodecad) @ 1.37
8 66.1% CEU30 (1000Genomes) + 33.9% Finnish (Dodecad) @ 1.41
9 69.6% British_Isles (Dodecad) + 30.4% Finnish (Dodecad) @ 1.43
10 69.1% British_Isles (Dodecad) + 30.9% FIN30 (1000Genomes) @ 1.44
11 65.7% CEU30 (1000Genomes) + 34.3% FIN30 (1000Genomes) @ 1.54
12 57.7% Mixed_Germanic (Dodecad) + 42.3% FIN30 (1000Genomes) @ 1.55
13 58.1% Finnish (Dodecad) + 41.9% French (Dodecad) @ 1.69
14 58.7% FIN30 (1000Genomes) + 41.3% French (Dodecad) @ 1.7
15 64.2% German (Dodecad) + 35.8% Finnish (Dodecad) @ 1.73
16 61.6% Dutch (Dodecad) + 38.4% Finnish (Dodecad) @ 1.82
17 63.7% German (Dodecad) + 36.3% FIN30 (1000Genomes) @ 1.86
18 97% Orkney (1000 Genomes) + 3% Nganassan @ 1.87
19 61.1% Dutch (Dodecad) + 38.9% FIN30 (1000Genomes) @ 1.98
20 95.7% Orkney (1000 Genomes) + 4.3% Selkup @ 2.01

Oracle 4:
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 77.10
2 Caucasus_Gedrosia 9.09
3 Southern 8.46
4 Siberian 3.72


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Orkney_1000 Genomes @ 3.905623
2 Orcadian_HGDP @ 4.216779
3 Irish_Dodecad @ 4.281003
4 Norwegian_Dodecad @ 4.395144
5 British_Isles_Dodecad @ 4.481034
6 Argyll_1000 Genomes @ 4.533834
7 Swedish_Dodecad @ 4.757332
8 British_Dodecad @ 4.902799
9 Polish_Dodecad @ 4.957485
10 CEU30_1000Genomes @ 5.261290
11 Kent_1000 Genomes @ 5.297362
12 Cornwall_1000 Genomes @ 5.527374
13 German_Dodecad @ 5.823650
14 Belorussian_Behar @ 5.858294
15 Dutch_Dodecad @ 6.458621
16 Russian_B_Behar @ 7.249229
17 Mixed_Germanic_Dodecad @ 7.265893
18 Ukranians_Yunusbayev @ 7.590589
19 Russian_Dodecad @ 7.663747
20 FIN30_1000Genomes @ 9.649267

Using 2 populations approximation:
1 50% Finnish_Dodecad +50% Mixed_Germanic_Dodecad @ 1.977703


Using 3 populations approximation:
1 50% Finnish_Dodecad +25% French_Dodecad +25% Cornwall_1000 Genomes @ 0.823029


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++
1 Finnish_Dodecad + Belorussian_Behar + Russian_B_Behar + Pais_Vasco_1000 Genomes @ 0.349700
2 Belorussian_Behar + Russian_B_Behar + FIN30_1000Genomes + Pais_Vasco_1000 Genomes @ 0.349725
3 French_Basque + Belorussian_Behar + Russian_B_Behar + FIN30_1000Genomes @ 0.415999
4 Finnish_Dodecad + French_Basque + Belorussian_Behar + Russian_B_Behar @ 0.416027
5 Russian_Dodecad + Belorussian_Behar + FIN30_1000Genomes + Pais_Vasco_1000 Genomes @ 0.451199
6 Russian_Dodecad + French_Basque + Belorussian_Behar + FIN30_1000Genomes @ 0.470051
7 Russian_Dodecad + Finnish_Dodecad + Belorussian_Behar + Pais_Vasco_1000 Genomes @ 0.484662
8 Russian_Dodecad + Polish_Dodecad + Finnish_Dodecad + Pais_Vasco_1000 Genomes @ 0.485261
9 Russian_Dodecad + Finnish_Dodecad + French_Basque + Belorussian_Behar @ 0.502263
10 Polish_Dodecad + Finnish_Dodecad + Russian_B_Behar + Pais_Vasco_1000 Genomes @ 0.522908
11 Polish_Dodecad + Russian_B_Behar + FIN30_1000Genomes + Pais_Vasco_1000 Genomes @ 0.522988
12 Russian_Dodecad + Polish_Dodecad + Finnish_Dodecad + French_Basque @ 0.540098
13 Polish_Dodecad + Finnish_Dodecad + French_Basque + Russian_B_Behar @ 0.559480
14 Polish_Dodecad + French_Basque + Russian_B_Behar + FIN30_1000Genomes @ 0.559569
15 Russian_Dodecad + Polish_Dodecad + FIN30_1000Genomes + Pais_Vasco_1000 Genomes @ 0.587767
16 Russian_Dodecad + Polish_Dodecad + French_Basque + FIN30_1000Genomes @ 0.600763
17 Finnish_Dodecad + Lithuanian_Dodecad + Russian_B_Behar + Aragon_1000 Genomes @ 0.653661
18 Finnish_Dodecad + Swedish_Dodecad + Lithuanian_Dodecad + Spaniards_Behar @ 0.730411
19 Finnish_Dodecad + Lithuanian_Dodecad + Russian_B_Behar + Cantabria_1000 Genomes @ 0.740228
20 Finnish_Dodecad + Swedish_Dodecad + Lithuanians + Spaniards_Behar @ 0.765933

adamg
06-13-2019, 06:26 AM
# Population Percent
1 Atlantic_Baltic 73.74
2 Caucasus_Gedrosia 13.14
3 Southern 11.92


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Dutch_Dodecad @ 1.459007
2 German_Dodecad @ 1.794719
3 Mixed_Germanic_Dodecad @ 1.850910
4 CEU30_1000Genomes @ 2.849720
5 Kent_1000 Genomes @ 3.336621
6 Cornwall_1000 Genomes @ 3.393745
7 British_Dodecad @ 3.518147
8 Argyll_1000 Genomes @ 4.491936
9 British_Isles_Dodecad @ 4.516714
10 Irish_Dodecad @ 4.865972
11 Orcadian_HGDP @ 5.173915
12 Orkney_1000 Genomes @ 5.716285
13 Ukranians_Yunusbayev @ 5.729512
14 Hungarians_Behar @ 6.250341
15 Polish_Dodecad @ 6.474383
16 French_HGDP @ 8.223560
17 Belorussian_Behar @ 8.496840
18 French_Dodecad @ 9.310971
19 Norwegian_Dodecad @ 9.550028
20 Swedish_Dodecad @ 9.865273

Using 2 populations approximation:
1 50% Orcadian_HGDP +50% Hungarians_Behar @ 1.366175


Using 3 populations approximation:
1 50% Dutch_Dodecad +25% Hungarians_Behar +25% Argyll_1000 Genomes @ 1.133343


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++
1 German_Dodecad + N_Italian_Dodecad + Lithuanians + Argyll_1000 Genomes @ 1.115049
2 N_Italian_Dodecad + Lithuanians + Argyll_1000 Genomes + Argyll_1000 Genomes @ 1.127950
3 Irish_Dodecad + German_Dodecad + Dutch_Dodecad + Hungarians_Behar @ 1.128492
4 Irish_Dodecad + N_Italian_Dodecad + Lithuanians + Argyll_1000 Genomes @ 1.129119
5 German_Dodecad + Mixed_Germanic_Dodecad + Hungarians_Behar + Argyll_1000 Genomes @ 1.130031
6 Polish_Dodecad + N_Italian_Dodecad + Lithuanians + Cornwall_1000 Genomes @ 1.130583
7 Dutch_Dodecad + Dutch_Dodecad + Hungarians_Behar + Argyll_1000 Genomes @ 1.133343
8 German_Dodecad + German_Dodecad + German_Dodecad + Hungarians_Behar @ 1.135982
9 Irish_Dodecad + German_Dodecad + Mixed_Germanic_Dodecad + Hungarians_Behar @ 1.137328
10 Polish_Dodecad + N_Italian_Dodecad + Lithuanians + Kent_1000 Genomes @ 1.137548
11 German_Dodecad + German_Dodecad + Hungarians_Behar + Kent_1000 Genomes @ 1.142719
12 German_Dodecad + Dutch_Dodecad + Orcadian_HGDP + Hungarians_Behar @ 1.149611
13 Irish_Dodecad + Dutch_Dodecad + Dutch_Dodecad + Hungarians_Behar @ 1.153355
14 N_Italian_Dodecad + Orcadian_HGDP + Lithuanians + Argyll_1000 Genomes @ 1.155306
15 German_Dodecad + Dutch_Dodecad + Hungarians_Behar + Argyll_1000 Genomes @ 1.158399
16 Irish_Dodecad + German_Dodecad + German_Dodecad + Hungarians_Behar @ 1.165662
17 Dutch_Dodecad + Dutch_Dodecad + Orcadian_HGDP + Hungarians_Behar @ 1.167292
18 Irish_Dodecad + German_Dodecad + N_Italian_Dodecad + Lithuanians @ 1.168059
19 German_Dodecad + German_Dodecad + Hungarians_Behar + Argyll_1000 Genomes @ 1.168292
20 German_Dodecad + Mixed_Germanic_Dodecad + Orcadian_HGDP + Hungarians_Behar @ 1.175002

Done.

Magovalle
06-15-2019, 05:29 PM
Hi there, guys. Mine for ur guidance:

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 58.46
2 Southern 28.3
3 Caucasus_Gedrosia 10.03
4 African 1.53
5 Amerindian 1.07
6 East_Asian 0.61

Single Population Sharing:

# Population (source) Distance
1 Baleares (1000 Genomes) 2.41
2 Andalucia (1000 Genomes) 3.21
3 Murcia (1000 Genomes) 3.46
4 Extremadura (1000 Genomes) 3.58
5 Portuguese (Dodecad) 4.21
6 Galicia (1000 Genomes) 4.44
7 North_Italian (HGDP) 4.48
8 Castilla_La_Mancha (1000 Genomes) 5.13
9 N_Italian (Dodecad) 5.36
10 Spaniards (Behar) 5.4
11 Castilla_Y_Leon (1000 Genomes) 5.63
12 Canarias (1000 Genomes) 6.19
13 Valencia (1000 Genomes) 6.61
14 Spanish (Dodecad) 6.77
15 Cataluna (1000 Genomes) 7.75
16 Aragon (1000 Genomes) 8.69
17 Cantabria (1000 Genomes) 9.01
18 Brazilian (Dodecad) 9.3
19 TSI30 (Metspalu) 11.51
20 Bulgarians (Yunusbayev) 11.97

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 92.2% Baleares (1000 Genomes) + 7.8% PUR30 @ 1.16
2 94.3% Baleares (1000 Genomes) + 5.7% Puerto_Rican @ 1.18
3 78.5% Extremadura (1000 Genomes) + 21.5% Tuscan (HGDP) @ 1.21
4 77.3% Extremadura (1000 Genomes) + 22.7% TSI30 (Metspalu) @ 1.23
5 81.9% Extremadura (1000 Genomes) + 18.1% O_Italian (Dodecad) @ 1.24
6 94.3% Andalucia (1000 Genomes) + 5.7% Kumyks (Yunusbayev) @ 1.26
7 94.2% Andalucia (1000 Genomes) + 5.8% Balkars (Yunusbayev) @ 1.28
8 78.2% Galicia (1000 Genomes) + 21.8% O_Italian (Dodecad) @ 1.28
9 94.5% Andalucia (1000 Genomes) + 5.5% North_Ossetians (Yunusbayev) @ 1.29
10 87.2% Extremadura (1000 Genomes) + 12.8% Greek (Dodecad) @ 1.29
11 96.7% Baleares (1000 Genomes) + 3.3% Yemenese (Behar) @ 1.29
12 94.4% Andalucia (1000 Genomes) + 5.6% Chechens (Yunusbayev) @ 1.29
13 94.2% Andalucia (1000 Genomes) + 5.8% Adygei (HGDP) @ 1.3
14 94.7% Andalucia (1000 Genomes) + 5.3% Lezgins (Behar) @ 1.3
15 91% Galicia (1000 Genomes) + 9% Turkish (Dodecad) @ 1.32
16 92.1% Galicia (1000 Genomes) + 7.9% Armenians (Behar) @ 1.32
17 90.6% Spaniards (Behar) + 9.4% Lebanese (Behar) @ 1.32
18 91.6% Castilla_Y_Leon (1000 Genomes) + 8.4% Abhkasians (Yunusbayev) @ 1.32
19 88.8% Spanish (Dodecad) + 11.2% Syrians (Behar) @ 1.33
20 87.5% Cataluna (1000 Genomes) + 12.5% Palestinian (HGDP) @ 1.33

Oracle 4

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 58.46
2 Southern 28.30
3 Caucasus_Gedrosia 10.03
4 African 1.53
5 Amerindian 1.07


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Baleares_1000 Genomes @ 2.527249
2 Andalucia_1000 Genomes @ 3.501786
3 Murcia_1000 Genomes @ 3.697025
4 Extremadura_1000 Genomes @ 3.928902
5 Portuguese_Dodecad @ 4.603646
6 North_Italian_HGDP @ 4.788877
7 Galicia_1000 Genomes @ 4.939672
8 Castilla_La_Mancha_1000 Genomes @ 5.688702
9 N_Italian_Dodecad @ 5.784516
10 Spaniards_Behar @ 5.971222
11 Castilla_Y_Leon_1000 Genomes @ 6.254548
12 Canarias_1000 Genomes @ 6.387797
13 Valencia_1000 Genomes @ 7.331810
14 Spanish_Dodecad @ 7.528398
15 Cataluna_1000 Genomes @ 8.547756
16 Brazilian_Dodecad @ 9.023277
17 Aragon_1000 Genomes @ 9.653598
18 Cantabria_1000 Genomes @ 10.048565
19 TSI30_Metspalu @ 12.757423
20 Bulgarians_Yunusbayev @ 13.099201

Using 2 populations approximation:
1 50% Portuguese_Dodecad +50% North_Italian_HGDP @ 1.386421


Using 3 populations approximation:
1 50% Murcia_1000 Genomes +25% Castilla_Y_Leon_1000 Genomes +25% Bulgarians_Yunusbayev @ 1.101230


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++
1 Bulgarian_Dodecad + Canarias_1000 Genomes + Murcia_1000 Genomes + Cantabria_1000 Genomes @ 0.898462
2 Mixed_Germanic_Dodecad + Brazilian_Dodecad + Sardinian + Tuscan_HGDP @ 0.929421
3 Brazilian_Dodecad + O_Italian_Dodecad + Sardinian + Kent_1000 Genomes @ 0.953849
4 Brazilian_Dodecad + O_Italian_Dodecad + Sardinian + Cornwall_1000 Genomes @ 0.964310
5 Ashkenazi_Dodecad + French_Dodecad + Canarias_1000 Genomes + Pais_Vasco_1000 Genomes @ 0.967480
6 Dutch_Dodecad + Brazilian_Dodecad + Sardinian + Tuscan_HGDP @ 0.972098
7 Mixed_Germanic_Dodecad + Brazilian_Dodecad + Sardinian + TSI30_Metspalu @ 0.986295
8 C_Italian_Dodecad + Brazilian_Dodecad + French_Basque + Baleares_1000 Genomes @ 0.995999
9 British_Dodecad + Brazilian_Dodecad + O_Italian_Dodecad + Sardinian @ 0.996929
10 Bulgarian_Dodecad + Canarias_1000 Genomes + Aragon_1000 Genomes + Murcia_1000 Genomes @ 1.000355
11 C_Italian_Dodecad + Brazilian_Dodecad + Baleares_1000 Genomes + Pais_Vasco_1000 Genomes @ 1.005734
12 Ashkenazi_Dodecad + French_Dodecad + French_Basque + Canarias_1000 Genomes @ 1.006055
13 Brazilian_Dodecad + TSI30_Metspalu + Aragon_1000 Genomes + Baleares_1000 Genomes @ 1.021982
14 C_Italian_Dodecad + Brazilian_Dodecad + Sardinian + Orkney_1000 Genomes @ 1.030973
15 French_Dodecad + TSI30_Metspalu + Canarias_1000 Genomes + Murcia_1000 Genomes @ 1.035887
16 German_Dodecad + Brazilian_Dodecad + Sardinian + Tuscan_HGDP @ 1.038525
17 Dutch_Dodecad + Brazilian_Dodecad + Sardinian + TSI30_Metspalu @ 1.040712
18 Spanish_Dodecad + Canarias_1000 Genomes + Murcia_1000 Genomes + Bulgarians_Yunusbayev @ 1.042793
19 British_Isles_Dodecad + Brazilian_Dodecad + O_Italian_Dodecad + Sardinian @ 1.047671
20 C_Italian_Dodecad + Brazilian_Dodecad + Orcadian_HGDP + Sardinian @ 1.052172

Best

Nino90
06-15-2019, 05:43 PM
Best

Are you part south american Amerindian?

m80.robinson
06-16-2019, 07:42 AM
Oracle

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 75.79
2 Caucasus_Gedrosia 11.43
3 Southern 10.83
4 Amerindian 0.91
5 South_Asian 0.69
6 African 0.34

Single Population Sharing:

# Population (source) Distance
1 CEU30 (1000Genomes) 1.04
2 British (Dodecad) 1.4
3 Kent (1000 Genomes) 1.44
4 German (Dodecad) 1.44
5 Cornwall (1000 Genomes) 1.6
6 British_Isles (Dodecad) 1.72
7 Irish (Dodecad) 1.95
8 Dutch (Dodecad) 2.02
9 Argyll (1000 Genomes) 2.03
10 Orcadian (HGDP) 2.12
11 Orkney (1000 Genomes) 2.6
12 Mixed_Germanic (Dodecad) 3
13 Polish (Dodecad) 4.65
14 Ukranians (Yunusbayev) 5.93
15 Norwegian (Dodecad) 6.4
16 Belorussian (Behar) 6.6
17 Swedish (Dodecad) 6.8
18 Hungarians (Behar) 8.09
19 Russian_B (Behar) 8.74
20 French (HGDP) 9.33

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 97.2% Orcadian (HGDP) + 2.8% Jordanians (Behar) @ 0.47
2 97.6% Irish (Dodecad) + 2.4% Egyptans (Behar) @ 0.47
3 97.3% Orcadian (HGDP) + 2.7% Palestinian (HGDP) @ 0.47
4 97.7% Irish (Dodecad) + 2.3% Bedouin (HGDP) @ 0.48
5 97.1% Orcadian (HGDP) + 2.9% Lebanese (Behar) @ 0.51
6 97.2% Orcadian (HGDP) + 2.8% Syrians (Behar) @ 0.52
7 97.5% Orcadian (HGDP) + 2.5% Bedouin (HGDP) @ 0.53
8 97.6% Orcadian (HGDP) + 2.4% Saudis (Behar) @ 0.53
9 97.8% Irish (Dodecad) + 2.2% Saudis (Behar) @ 0.53
10 95.7% Orcadian (HGDP) + 4.3% Sicilian (Dodecad) @ 0.55
11 96.7% Irish (Dodecad) + 3.3% Morocco_Jews (Behar) @ 0.55
12 95.8% Orcadian (HGDP) + 4.2% S_Italian (Dodecad) @ 0.55
13 97.2% Orcadian (HGDP) + 2.8% Druze (HGDP) @ 0.55
14 97.5% Orcadian (HGDP) + 2.5% Samaritians (Behar) @ 0.55
15 97.9% Irish (Dodecad) + 2.1% Yemen_Jews (Behar) @ 0.55
16 95.7% Orcadian (HGDP) + 4.3% S_Italian_Sicilian (Dodecad) @ 0.55
17 96.4% Orcadian (HGDP) + 3.6% Sephardic_Jews (Behar) @ 0.56
18 94.4% Orcadian (HGDP) + 5.6% O_Italian (Dodecad) @ 0.56
19 96.4% Orcadian (HGDP) + 3.6% Morocco_Jews (Behar) @ 0.56
20 96.8% Orcadian (HGDP) + 3.2% Cypriots (Behar) @ 0.57



Oracle 4

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 75.79
2 Caucasus_Gedrosia 11.43
3 Southern 10.83


Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 CEU30_1000Genomes @ 1.044449
2 British_Dodecad @ 1.399531
3 Kent_1000 Genomes @ 1.449816
4 German_Dodecad @ 1.514527
5 Cornwall_1000 Genomes @ 1.635772
6 British_Isles_Dodecad @ 1.848088
7 Irish_Dodecad @ 2.097421
8 Argyll_1000 Genomes @ 2.140801
9 Dutch_Dodecad @ 2.153743
10 Orcadian_HGDP @ 2.280890
11 Orkney_1000 Genomes @ 2.835508
12 Mixed_Germanic_Dodecad @ 3.172813
13 Polish_Dodecad @ 4.897577
14 Ukranians_Yunusbayev @ 6.397269
15 Norwegian_Dodecad @ 6.939462
16 Belorussian_Behar @ 6.952701
17 Swedish_Dodecad @ 7.314692
18 Hungarians_Behar @ 8.967230
19 Russian_B_Behar @ 9.139825
20 Russian_Dodecad @ 9.929754

Using 2 populations approximation:
1 50% Dutch_Dodecad +50% Orcadian_HGDP @ 0.571308


Using 3 populations approximation:
1 50% CEU30_1000Genomes +25% Cornwall_1000 Genomes +25% Argyll_1000 Genomes @ 0.532873


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++
1 Dutch_Dodecad + Orcadian_HGDP + CEU30_1000Genomes + CEU30_1000Genomes @ 0.481471
2 German_Dodecad + Orcadian_HGDP + CEU30_1000Genomes + CEU30_1000Genomes @ 0.490763
3 Irish_Dodecad + Mixed_Germanic_Dodecad + Orcadian_HGDP + CEU30_1000Genomes @ 0.529643
4 Mixed_Germanic_Dodecad + Orcadian_HGDP + CEU30_1000Genomes + Argyll_1000 Genomes @ 0.529772
5 German_Dodecad + Mixed_Germanic_Dodecad + Orcadian_HGDP + Orcadian_HGDP @ 0.532404
6 CEU30_1000Genomes + CEU30_1000Genomes + Cornwall_1000 Genomes + Argyll_1000 Genomes @ 0.532873
7 Irish_Dodecad + German_Dodecad + CEU30_1000Genomes + CEU30_1000Genomes @ 0.540092
8 Irish_Dodecad + German_Dodecad + Mixed_Germanic_Dodecad + Orcadian_HGDP @ 0.551608
9 German_Dodecad + German_Dodecad + Orcadian_HGDP + CEU30_1000Genomes @ 0.554839
10 German_Dodecad + CEU30_1000Genomes + CEU30_1000Genomes + Argyll_1000 Genomes @ 0.555557
11 CEU30_1000Genomes + CEU30_1000Genomes + Kent_1000 Genomes + Argyll_1000 Genomes @ 0.560264
12 Dutch_Dodecad + Dutch_Dodecad + Orcadian_HGDP + Orcadian_HGDP @ 0.571308
13 Mixed_Germanic_Dodecad + Orcadian_HGDP + Cornwall_1000 Genomes + Argyll_1000 Genomes @ 0.571388
14 Irish_Dodecad + Dutch_Dodecad + CEU30_1000Genomes + CEU30_1000Genomes @ 0.588524
15 German_Dodecad + CEU30_1000Genomes + Cornwall_1000 Genomes + Argyll_1000 Genomes @ 0.590309
16 Mixed_Germanic_Dodecad + Dutch_Dodecad + Orcadian_HGDP + Orcadian_HGDP @ 0.591504
17 British_Dodecad + Irish_Dodecad + German_Dodecad + CEU30_1000Genomes @ 0.595123
18 German_Dodecad + Dutch_Dodecad + Orcadian_HGDP + Orcadian_HGDP @ 0.598209
19 British_Dodecad + Dutch_Dodecad + Orcadian_HGDP + CEU30_1000Genomes @ 0.598314
20 Irish_Dodecad + German_Dodecad + German_Dodecad + CEU30_1000Genomes @ 0.599965

Mehmet Udegey
08-08-2019, 11:07 PM
Least-squares method.

Using 1 population approximation:
1 Turkish_Dodecad @ 3.922593
2 Turks_Behar @ 7.603106
3 Armenians_Behar @ 12.853408
4 Balkars_Yunusbayev @ 14.622653
5 Kumyks_Yunusbayev @ 14.864367
6 Adygei_HGDP @ 15.499503
7 Cypriots_Behar @ 15.756074
8 North_Ossetians_Yunusbayev @ 16.792557
9 Sephardic_Jews_Behar @ 18.818073
10 S_Italian_Dodecad @ 18.831587
11 Chechens_Yunusbayev @ 18.850534
12 Turkmens_Yunusbayev @ 19.110672
13 Ashkenazy_Jews @ 19.341661
14 Ashkenazi_Dodecad @ 19.349562
15 S_Italian_Sicilian_Dodecad @ 19.507038
16 Nogais_Yunusbayev @ 19.531317
17 Lebanese_Behar @ 19.714043
18 Uzbekistan_Jews @ 19.734921
19 Armenian_Dodecad @ 19.846210
20 Iranian_Dodecad @ 20.413454

Using 2 populations approximation:
1 50% Sephardic_Jews_Behar +50% North_Ossetians_Yunusbayev @ 3.235268


Using 3 populations approximation:
1 50% Assyrian_Dodecad +25% Romanians_Behar +25% Nogais_Yunusbayev @ 1.134097


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++
1 Azerbaijan_Jews + Georgia_Jews_Behar + Romanians_Behar + Nogais_Yunusbayev @ 0.355483
2 Assyrian_Dodecad + Georgia_Jews_Behar + Romanians_Behar + Nogais_Yunusbayev @ 0.489204
3 Kurd_Dodecad + Tuscan_HGDP + Georgia_Jews_Behar + Nogais_Yunusbayev @ 0.498084
4 Kurd_Dodecad + TSI30_Metspalu + Georgia_Jews_Behar + Nogais_Yunusbayev @ 0.519844
5 Romanians_Behar + Samaritians_Behar + Abhkasians_Yunusbayev + Nogais_Yunusbayev @ 0.634728
6 Tuscan_HGDP + Georgia_Jews_Behar + Kurds_Yunusbayev + Nogais_Yunusbayev @ 0.723932
7 TSI30_Metspalu + Georgia_Jews_Behar + Kurds_Yunusbayev + Nogais_Yunusbayev @ 0.739675
8 Turkish_Dodecad + Greek_Dodecad + Azerbaijan_Jews + Nogais_Yunusbayev @ 0.763739
9 Iraq_Jews_Behar + Uzbekistan_Jews + Bulgarians_Yunusbayev + Nogais_Yunusbayev @ 0.860995
10 O_Italian_Dodecad + Iranian_Jews_Behar + Turks_Behar + Nogais_Yunusbayev @ 0.883192
11 TSI30_Metspalu + Uzbekistan_Jews + Uzbekistan_Jews + Nogais_Yunusbayev @ 0.884583
12 Tuscan_HGDP + Uzbekistan_Jews + Uzbekistan_Jews + Nogais_Yunusbayev @ 0.895589
13 C_Italian_Dodecad + Azerbaijan_Jews + Turks_Behar + Nogais_Yunusbayev @ 0.899743
14 Iranian_Dodecad + Tuscan_HGDP + Georgia_Jews_Behar + Nogais_Yunusbayev @ 0.936593
15 Turkish_Dodecad + Greek_Dodecad + Uzbekistan_Jews + Nogais_Yunusbayev @ 0.941254
16 Bulgarian_Dodecad + Iraq_Jews_Behar + Uzbekistan_Jews + Nogais_Yunusbayev @ 0.973147
17 Turkish_Dodecad + Greek_Dodecad + Assyrian_Dodecad + Nogais_Yunusbayev @ 0.975502
18 Kurd_Dodecad + North_Italian_HGDP + Iranian_Jews_Behar + Nogais_Yunusbayev @ 0.988779
19 Greek_Dodecad + Iranian_Dodecad + Cypriots_Behar + Nogais_Yunusbayev @ 0.996370
20 Iranian_Dodecad + TSI30_Metspalu + Georgia_Jews_Behar + Nogais_Yunusbayev @ 0.999465

curiousDNAguy12
08-17-2019, 03:09 PM
Least-squares method.

Using 1 population approximation:
1 S_Italian_Dodecad @ 2.448165
2 Ashkenazi_Dodecad @ 2.521830
3 S_Italian_Sicilian_Dodecad @ 3.180669
4 Ashkenazy_Jews @ 3.710414
5 Sicilian_Dodecad @ 4.108137
6 Sephardic_Jews_Behar @ 6.631688
7 Greek_Dodecad @ 8.377855
8 Morocco_Jews_Behar @ 9.161950
9 C_Italian_Dodecad @ 12.830770
10 O_Italian_Dodecad @ 15.832880
11 Cypriots_Behar @ 16.238716
12 Turkish_Dodecad @ 19.030500
13 Tuscan_HGDP @ 19.033625
14 TSI30_Metspalu @ 20.059343
15 Turks_Behar @ 23.892426
16 Lebanese_Behar @ 24.307177
17 Bulgarian_Dodecad @ 26.196980
18 Romanians_Behar @ 26.236555
19 Armenians_Behar @ 26.633881
20 Druze_HGDP @ 27.101364

Using 2 populations approximation:
1 50% Greek_Dodecad +50% Sephardic_Jews_Behar @ 1.461576


Using 3 populations approximation:
1 50% Greek_Dodecad +25% Bulgarian_Dodecad +25% Yemen_Jews_Behar @ 0.909941


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++
1 Sicilian_Dodecad + Ashkenazy_Jews + Samaritians_Behar + Bulgarians_Yunusbayev @ 0.826052
2 O_Italian_Dodecad + Druze_HGDP + Sardinian + Turks_Behar @ 0.844408
3 Druze_HGDP + Samaritians_Behar + Andalucia_1000 Genomes + Bulgarians_Yunusbayev @ 0.872034
4 Greek_Dodecad + Greek_Dodecad + Bulgarian_Dodecad + Yemen_Jews_Behar @ 0.909941
5 Spanish_Dodecad + Druze_HGDP + Ashkenazy_Jews + Cypriots_Behar @ 0.918568
6 Ashkenazi_Dodecad + Sardinian + Georgians_Behar + Morocco_Jews_Behar @ 0.919538
7 Ashkenazi_Dodecad + Sicilian_Dodecad + Samaritians_Behar + Bulgarians_Yunusbayev @ 0.926992
8 Bulgarian_Dodecad + Druze_HGDP + Samaritians_Behar + Castilla_La_Mancha_1000 Genomes @ 0.928512
9 Ashkenazi_Dodecad + Ashkenazy_Jews + Samaritians_Behar + Bulgarians_Yunusbayev @ 0.931968
10 Turkish_Dodecad + Sicilian_Dodecad + Samaritians_Behar + Cantabria_1000 Genomes @ 0.932980
11 Turkish_Dodecad + Sicilian_Dodecad + Samaritians_Behar + Aragon_1000 Genomes @ 0.934727
12 Bulgarian_Dodecad + Druze_HGDP + Samaritians_Behar + Andalucia_1000 Genomes @ 0.943713
13 Ashkenazy_Jews + Ashkenazy_Jews + Samaritians_Behar + Bulgarians_Yunusbayev @ 0.947748
14 Turkish_Dodecad + C_Italian_Dodecad + Sardinian + Georgia_Jews_Behar @ 0.951054
15 N_Italian_Dodecad + Druze_HGDP + Ashkenazy_Jews + Sephardic_Jews_Behar @ 0.957053
16 S_Italian_Sicilian_Dodecad + Sardinian + Cypriots_Behar + Turks_Behar @ 0.959375
17 Cypriots_Behar + Yemen_Jews_Behar + Bulgarians_Yunusbayev + Bulgarians_Yunusbayev @ 0.961378
18 Greek_Dodecad + Lithuanians + Samaritians_Behar + Yemen_Jews_Behar @ 0.961593
19 Bulgarian_Dodecad + Druze_HGDP + Samaritians_Behar + Castilla_Y_Leon_1000 Genomes @ 0.965222
20 Druze_HGDP + North_Italian_HGDP + Ashkenazy_Jews + Sephardic_Jews_Behar @ 0.968973