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DMXX
04-23-2014, 12:04 AM
I liked this calculator because of its' world application. As we have users from many different countries, this is an intuitive one to use.

Admixture results


# Population Percent
1 Caucasus_Gedrosia 49.50
2 Southern 27.84
3 Atlantic_Baltic 11.61
4 South_Asian 6.60
5 Siberian 2.38
6 East_Asian 2.07


Single Pop results


# Population (source) Distance
1 Iranian (Dodecad) 2.69
2 Kurd (Dodecad) 5.27
3 Kurds (Yunusbayev) 5.86
4 Iranians (Behar) 6.12
5 Georgians (Behar) 9.24
6 Turks (Behar) 9.85
7 Armenians (Behar) 9.9
8 Abhkasians (Yunusbayev) 10.4
9 Uzbekistan_Jews 10.65
10 Armenians (Yunusbayev) 11.12
11 Armenian (Dodecad) 11.53
12 Kumyks (Yunusbayev) 11.93
13 North_Ossetians (Yunusbayev) 12.36
14 Balkars (Yunusbayev) 13.57
15 Azerbaijan_Jews 13.73
16 Turkish (Dodecad) 13.73
17 Adygei (HGDP) 13.81
18 Turkmens (Yunusbayev) 14.5
19 Assyrian (Dodecad) 14.65
20 Chechens (Yunusbayev) 15.38


2-Way Pop results


1 50% Iranian +50% Iranian @ 2.715
2 50% Iranian +50% Kurd @ 3.615
3 50% Iranian +50% Kurds @ 3.831
4 50% Iranian +50% Iranians @ 4.045
5 50% Iranian_Jews +50% Tajiks @ 4.445
6 50% Iranians +50% Kumyks @ 4.457
7 50% Iranian +50% Turks @ 4.494
8 50% Iranians +50% North_Ossetians @ 4.709
9 50% Iranian +50% Armenians @ 4.744
10 50% Armenians +50% Turkmens @ 4.855
31375 iterations.


4-Way Pop results


1 Iranian + Iranian_Jews + Kurds + Tajiks @ 1.461
2 Iranian + Iranian + Iranian + Turks @ 1.487
3 Brahui + Iraq_Jews + Turks + Kumyks @ 1.495
4 Brahui + Iraq_Jews + Turks + Balkars @ 1.508
5 Assyrian + Iranian + Kurds + Tajiks @ 1.515
6 Kurd + Kurd + Azerbaijan_Jews + Tajiks @ 1.526
7 Balochi + Iraq_Jews + Turks + North_Ossetians @ 1.535
8 Assyrian + Iranian + Kurd + Tajiks @ 1.552
9 Balochi + Samaritians + North_Ossetians + North_Ossetians @ 1.564
10 Turkish + Brahui + Iraq_Jews + North_Ossetians @ 1.568
11 Iranian + Azerbaijan_Jews + Kurds + Tajiks @ 1.571
12 Balochi + Iraq_Jews + Turks + Kumyks @ 1.580
13 Kurd + Azerbaijan_Jews + Kurds + Tajiks @ 1.590
14 Assyrian + Kurd + Kurd + Tajiks @ 1.600
15 Brahui + Iraq_Jews + Turks + North_Ossetians @ 1.603
16 Balochi + Iraq_Jews + Turks + Balkars @ 1.605
17 Iranian + Kurd + Iranian_Jews + Tajiks @ 1.617
18 Brahui + Turks + Turks + Armenians @ 1.621
19 Iranian + Kurd + Azerbaijan_Jews + Tajiks @ 1.636
20 Brahui + Samaritians + North_Ossetians + North_Ossetians @ 1.637

Agamemnon
04-23-2014, 06:53 PM
# Population Percent
1 Atlantic_Baltic 54.72
2 Southern 24.38
3 Caucasus_Gedrosia 19.19
4 Siberian 0.76
5 South_Asian 0.47
6 East_Asian 0.3
7 African 0.15
8 Australasian 0.04




# Population (source) Distance
1 Bulgarians (Yunusbayev) 2.34
2 Bulgarian (Dodecad) 2.96
3 N_Italian (Dodecad) 5.01
4 Romanians (Behar) 5.02
5 North_Italian (HGDP) 6.56
6 TSI30 (Metspalu) 8.06
7 Tuscan (HGDP) 8.74
8 Baleares (1000 Genomes) 10.66
9 O_Italian (Dodecad) 10.71
10 Andalucia (1000 Genomes) 12.44
11 Extremadura (1000 Genomes) 12.56
12 Murcia (1000 Genomes) 12.82
13 Galicia (1000 Genomes) 13.32
14 Portuguese (Dodecad) 13.47
15 Spaniards (Behar) 13.49
16 C_Italian (Dodecad) 13.63
17 Castilla_La_Mancha (1000 Genomes) 13.93
18 Canarias (1000 Genomes) 14.52
19 Valencia (1000 Genomes) 14.53
20 Cataluna (1000 Genomes) 14.57




# Primary Population (source) Secondary Population (source) Distance
1 63.4% C_Italian (Dodecad) + 36.6% Ukranians (Yunusbayev) @ 0.49
2 67.6% C_Italian (Dodecad) + 32.4% Belorussian (Behar) @ 0.52
3 74.1% Bulgarians (Yunusbayev) + 25.9% North_Italian (HGDP) @ 0.53
4 57.8% Greek (Dodecad) + 42.2% British (Dodecad) @ 0.59
5 58.7% Greek (Dodecad) + 41.3% British_Isles (Dodecad) @ 0.6
6 56.8% S_Italian (Dodecad) + 43.2% Swedish (Dodecad) @ 0.6
7 78.6% Bulgarian (Dodecad) + 21.4% Baleares (1000 Genomes) @ 0.61
8 63.2% Bulgarian (Dodecad) + 36.8% N_Italian (Dodecad) @ 0.62
9 57.2% Greek (Dodecad) + 42.8% CEU30 (1000Genomes) @ 0.63
10 71.7% Dutch (Dodecad) + 28.3% Samaritians (Behar) @ 0.64
11 91.8% Bulgarians (Yunusbayev) + 8.2% Sardinian @ 0.65
12 75.5% French (HGDP) + 24.5% Georgia_Jews (Behar) @ 0.66
13 77.3% French (HGDP) + 22.7% Iraq_Jews (Behar) @ 0.66
14 81.1% Bulgarian (Dodecad) + 18.9% Andalucia (1000 Genomes) @ 0.68
15 54.8% Greek (Dodecad) + 45.2% Mixed_Germanic (Dodecad) @ 0.69
16 72.1% C_Italian (Dodecad) + 27.9% Lithuanians @ 0.69
17 71.1% German (Dodecad) + 28.9% Samaritians (Behar) @ 0.7
18 68.8% O_Italian (Dodecad) + 31.2% Ukranians (Yunusbayev) @ 0.7
19 68.9% Bulgarians (Yunusbayev) + 31.1% N_Italian (Dodecad) @ 0.7
20 56.5% S_Italian (Dodecad) + 43.5% Norwegian (Dodecad) @ 0.7




1 50% Kent +25% TSI30 +25% Cypriots @ 0.880
2 50% Kent +25% Tuscan +25% Cypriots @ 0.895
3 50% Tuscan +25% Greek +25% Lithuanians @ 0.936
4 50% Mixed_Germanic +25% Greek +25% S_Italian @ 0.957
5 50% German +25% TSI30 +25% Cypriots @ 0.958
6 50% Greek +25% Dutch +25% French @ 0.981
7 50% Cornwall +25% Sardinian +25% Georgians @ 1.005
8 50% Mixed_Germanic +25% Greek +25% S_Italian_Sicilian @ 1.015
9 50% Greek +25% North_Italian +25% Lithuanians @ 1.026
10 50% Cornwall +25% TSI30 +25% Cypriots @ 1.038


1 Irish + Mixed_Germanic + TSI30 + Cypriots @ 0.773
2 German + TSI30 + Cypriots + Kent @ 0.801
3 Irish + Dutch + TSI30 + Cypriots @ 0.821
4 Dutch + TSI30 + Cypriots + Kent @ 0.826
5 British_Isles + Dutch + TSI30 + Cypriots @ 0.833
6 Irish + Dutch + Tuscan + Cypriots @ 0.852
7 Mixed_Germanic + Orcadian + TSI30 + Cypriots @ 0.859
8 Irish + Tuscan + Cypriots + Kent @ 0.862
9 Irish + Mixed_Germanic + Tuscan + Cypriots @ 0.863
10 German + British_Isles + TSI30 + Cypriots @ 0.863
11 Mixed_Germanic + TSI30 + Cypriots + Argyll @ 0.866
12 Mixed_Germanic + TSI30 + Cypriots + Orkney @ 0.868
13 German + TSI30 + Cypriots + Cornwall @ 0.869
14 Dutch + Tuscan + Cypriots + Orkney @ 0.872
15 French_Basque + TSI30 + Armenians + Orkney @ 0.875
16 Tuscan + Cypriots + Kent + Argyll @ 0.879
17 TSI30 + Cypriots + Kent + Kent @ 0.880
18 Irish + German + Tuscan + Cypriots @ 0.882
19 Dutch + Orcadian + TSI30 + Cypriots @ 0.886
20 German + British_Isles + Tuscan + Cypriots @ 0.887


Not very accurate as far as I'm concerned, K12b gives better results.

Alpine Hominin
04-23-2014, 07:28 PM
My World9 Oracle Results are different depending on if I use Oracle or Oracle-4. Not sure if this is the norm. Oracle - 4 is closer to my known ancestry.

Oracle:

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 73.2
2 Southern 14.1
3 Caucasus_Gedrosia 9.09
4 South_Asian 1.32
5 Siberian 1.2
6 Amerindian 0.97
7 African 0.13

Single Population Sharing:

# Population (source) Distance
1 Mixed_Germanic (Dodecad) 3.14
2 Cornwall (1000 Genomes) 3.57
3 Kent (1000 Genomes) 3.84
4 CEU30 (1000Genomes) 3.88
5 British (Dodecad) 3.96
6 Dutch (Dodecad) 4.06
7 German (Dodecad) 4.21
8 British_Isles (Dodecad) 4.56
9 French (HGDP) 5.77
10 Orcadian (HGDP) 6.06
11 Irish (Dodecad) 6.09
12 Orkney (1000 Genomes) 6.22
13 French (Dodecad) 6.23
14 Argyll (1000 Genomes) 6.38
15 Hungarians (Behar) 6.93
16 Polish (Dodecad) 8.76
17 Ukranians (Yunusbayev) 8.78
18 Norwegian (Dodecad) 9.75
19 Swedish (Dodecad) 10.34
20 Belorussian (Behar) 10.59

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 50.9% Lithuanian (Dodecad) + 49.1% Castilla_La_Mancha (1000 Genomes) @ 1.03
2 61.9% Swedish (Dodecad) + 38.1% Galicia (1000 Genomes) @ 1.1
3 51.1% Lithuanian (Dodecad) + 48.9% Galicia (1000 Genomes) @ 1.12
4 67% Swedish (Dodecad) + 33% Murcia (1000 Genomes) @ 1.16
5 61.7% Swedish (Dodecad) + 38.3% Castilla_La_Mancha (1000 Genomes) @ 1.17
6 55.7% Cataluna (1000 Genomes) + 44.3% Lithuanian (Dodecad) @ 1.19
7 63.8% Swedish (Dodecad) + 36.2% Andalucia (1000 Genomes) @ 1.2
8 51% Spaniards (Behar) + 49% Lithuanian (Dodecad) @ 1.21
9 62.5% Swedish (Dodecad) + 37.5% Extremadura (1000 Genomes) @ 1.22
10 59.9% Swedish (Dodecad) + 40.1% Spaniards (Behar) @ 1.24
11 55.3% Swedish (Dodecad) + 44.7% Cataluna (1000 Genomes) @ 1.25
12 63.2% Swedish (Dodecad) + 36.8% Baleares (1000 Genomes) @ 1.26
13 51.4% Lithuanian (Dodecad) + 48.6% Castilla_Y_Leon (1000 Genomes) @ 1.27
14 58.3% Belorussian (Behar) + 41.7% Aragon (1000 Genomes) @ 1.28
15 50.4% Lithuanians + 49.6% Castilla_La_Mancha (1000 Genomes) @ 1.28
16 58.9% Ukranians (Yunusbayev) + 41.1% Pais_Vasco (1000 Genomes) @ 1.3
17 53.1% Lithuanian (Dodecad) + 46.9% Andalucia (1000 Genomes) @ 1.3
18 56.7% Belorussian (Behar) + 43.3% Cantabria (1000 Genomes) @ 1.31
19 59.5% Ukranians (Yunusbayev) + 40.5% French_Basque @ 1.34
20 63.3% Swedish (Dodecad) + 36.7% Portuguese (Dodecad) @ 1.34

Oracle - 4:

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 75.94
2 Southern 14.63
3 Caucasus_Gedrosia 9.43


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

Least-squares method.

Using 1 population approximation:
1 Cornwall @ 2.918
2 Kent @ 3.125
3 British @ 3.476
4 British_Isles @ 3.777
5 Mixed_Germanic @ 3.797
6 CEU30 @ 3.983
7 German @ 4.417
8 Dutch @ 4.483
9 Orcadian @ 5.470
10 Orkney @ 5.523
250 iterations.



Using 2 populations approximation:
1 50% Lithuanians +50% Aragon @ 1.596
2 50% Lithuanians +50% Cantabria @ 1.686
3 50% Lithuanians +50% Valencia @ 1.927
4 50% Lithuanian +50% Aragon @ 1.934
5 50% Lithuanian +50% Cantabria @ 1.948
6 50% French +50% Norwegian @ 1.973
7 50% Spanish +50% Lithuanians @ 1.979
8 50% Lithuanians +50% Cataluna @ 2.089
9 50% Lithuanian +50% Valencia @ 2.108
10 50% Spanish +50% Lithuanian @ 2.193
31375 iterations.



Using 3 populations approximation:
1 50% German +25% Irish +25% French_Basque @ 1.032
2 50% Irish +25% Mixed_Germanic +25% French_Basque @ 1.071
3 50% German +25% Irish +25% Pais_Vasco @ 1.086
4 50% Irish +25% Mixed_Germanic +25% Pais_Vasco @ 1.089
5 50% Dutch +25% Irish +25% French_Basque @ 1.095
6 50% German +25% French_Basque +25% Orkney @ 1.096
7 50% German +25% French_Basque +25% Orcadian @ 1.097
8 50% Dutch +25% French_Basque +25% Orkney @ 1.098
9 50% Kent +25% Argyll +25% Pais_Vasco @ 1.119
10 50% Kent +25% French_Basque +25% Argyll @ 1.122
539832 iterations.



Using 4 populations approximation:
1 Irish + Dutch + French_Basque + Kent @ 1.016
2 Dutch + French_Basque + Kent + Argyll @ 1.023
3 German + French_Basque + Kent + Argyll @ 1.031
4 Irish + German + German + French_Basque @ 1.032
5 Irish + Dutch + Kent + Pais_Vasco @ 1.035
6 Irish + German + Dutch + French_Basque @ 1.040
7 Irish + German + French_Basque + Kent @ 1.047
8 Irish + German + Kent + Pais_Vasco @ 1.059
9 Dutch + Kent + Argyll + Pais_Vasco @ 1.069
10 German + Kent + Argyll + Pais_Vasco @ 1.070
11 Irish + Irish + Mixed_Germanic + French_Basque @ 1.071
12 German + Dutch + French_Basque + Orkney @ 1.074
13 Irish + Mixed_Germanic + French_Basque + Argyll @ 1.076
14 Irish + German + German + Pais_Vasco @ 1.086
15 German + French_Basque + Cornwall + Argyll @ 1.088
16 Irish + Irish + Mixed_Germanic + Pais_Vasco @ 1.089
17 German + Dutch + French_Basque + Orcadian @ 1.090
18 Dutch + French_Basque + Cornwall + Argyll @ 1.093
19 Irish + Dutch + French_Basque + Cornwall @ 1.094
20 Irish + Dutch + Dutch + French_Basque @ 1.095

Táltos
04-24-2014, 02:11 AM
My Dodecad World9 results in regular oracle mode look very similar to my FTDNA PF results.
My FTDNA PF is:85.79% Western European-French,Orcadian
14.21% Middle Eastern- Palestinian, Iranian, Jewish, Adygei, Bedouin, Bedouin South, Druze

World9 regular Oracles:1 Atlantic_Baltic 65.5
2 Caucasus_Gedrosia 16.97
3 Southern 15.95
4 Australasian 0.5
5 Amerindian 0.48
6 African 0.33
7 Siberian 0.26

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 3.92
2 French (HGDP) 7.02
3 French (Dodecad) 8.35
4 Mixed_Germanic (Dodecad) 9.1
5 Dutch (Dodecad) 9.78
6 German (Dodecad) 10.37
7 CEU30 (1000Genomes) 11.12
8 Ukranians (Yunusbayev) 11.12
9 Cornwall (1000 Genomes) 11.44
10 Kent (1000 Genomes) 11.52
11 British (Dodecad) 11.7
12 Bulgarians (Yunusbayev) 12.43
13 Cataluna (1000 Genomes) 12.5
14 British_Isles (Dodecad) 12.7
15 Argyll (1000 Genomes) 12.87
16 N_Italian (Dodecad) 13.23
17 Irish (Dodecad) 13.3
18 Bulgarian (Dodecad) 13.55
19 Orcadian (HGDP) 13.57
20 Spaniards (Behar) 13.9

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 85.6% German (Dodecad) + 14.4% Georgia_Jews (Behar) @ 0.56
2 86.6% German (Dodecad) + 13.4% Iraq_Jews (Behar) @ 0.63
3 84% Kent (1000 Genomes) + 16% Armenian (Dodecad) @ 0.67
4 84.1% Kent (1000 Genomes) + 15.9% Armenians (Yunusbayev) @ 0.69
5 83.8% British (Dodecad) + 16.2% Armenian (Dodecad) @ 0.75
6 86% German (Dodecad) + 14% Assyrian (Dodecad) @ 0.75
7 86.7% German (Dodecad) + 13.3% Iranian_Jews (Behar) @ 0.76
8 82.2% Kent (1000 Genomes) + 17.8% Armenians (Behar) @ 0.78
9 84.7% Kent (1000 Genomes) + 15.3% Azerbaijan_Jews @ 0.8
10 81.5% Orkney (1000 Genomes) + 18.5% Georgia_Jews (Behar) @ 0.81
11 83.9% British (Dodecad) + 16.1% Armenians (Yunusbayev) @ 0.81
12 82.3% Cornwall (1000 Genomes) + 17.7% Armenians (Behar) @ 0.82
13 84.1% Kent (1000 Genomes) + 15.9% Uzbekistan_Jews @ 0.83
14 50.9% Lithuanians + 49.1% O_Italian (Dodecad) @ 0.85
15 84.3% Cornwall (1000 Genomes) + 15.7% Armenians (Yunusbayev) @ 0.85
16 84.6% Kent (1000 Genomes) + 15.4% Assyrian (Dodecad) @ 0.86
17 84.1% Cornwall (1000 Genomes) + 15.9% Armenian (Dodecad) @ 0.86
18 86% German (Dodecad) + 14% Azerbaijan_Jews @ 0.87
19 82% Orcadian (HGDP) + 18% Georgia_Jews (Behar) @ 0.87
20 84.4% British (Dodecad) + 15.6% Assyrian (Dodecad) @ 0.88

Táltos
04-24-2014, 02:18 AM
So I wonder if my new PF will look like the World9 4-Ancestor oracle? The only thing I don't like about a lot of these 4 Ancestor Oracles is through all the calculators I tend to get doubles in the same line. Such as Lithuanian+Lithuanian, or Dutch+Dutch.

Using 4 populations approximation:
1 Greek + N_Italian + Lithuanians + Lithuanians @ 1.514
2 Polish + Greek + Dutch + Dutch @ 1.552
3 Irish + Greek + Dutch + Ukranians @ 1.602
4 Greek + Dutch + Argyll + Ukranians @ 1.609
5 Bulgarian + TSI30 + Lithuanians + Argyll @ 1.615
6 Irish + Argyll + Bulgarians + Bulgarians @ 1.617
7 Greek + North_Italian + Lithuanians + Lithuanians @ 1.619
8 Polish + Greek + German + Dutch @ 1.621
9 Argyll + Argyll + Bulgarians + Bulgarians @ 1.628
10 Irish + Norwegian + Cypriots + Lithuanians @ 1.631
11 Greek + Mixed_Germanic + Argyll + Ukranians @ 1.632
12 Bulgarian + Tuscan + Lithuanians + Argyll @ 1.637
13 Norwegian + Orcadian + Cypriots + Lithuanians @ 1.643
14 Greek + Lithuanian + N_Italian + Lithuanians @ 1.643
15 Norwegian + Cypriots + Lithuanians + Orkney @ 1.647
16 Irish + Greek + Mixed_Germanic + Ukranians @ 1.650
17 Irish + Irish + Bulgarians + Bulgarians @ 1.655
18 Polish + Polish + Dutch + S_Italian @ 1.660
19 Norwegian + British_Isles + Cypriots + Lithuanians @ 1.665
20 Tuscan + Lithuanians + Argyll + Bulgarians @ 1.667

MitchellSince1893
04-24-2014, 02:51 AM
# Population Percent
1 Atlantic_Baltic 74.25
2 Caucasus_Gedrosia 11.95
3 Southern 11.43
4 South_Asian 1.42
5 Amerindian 0.45
6 Siberian 0.38
7 African 0.11

# Population (source) Distance
1 Dutch (Dodecad) 0.84
2 German (Dodecad) 1.11
3 CEU30 (1000Genomes) 1.28
4 Mixed_Germanic (Dodecad) 1.78
5 Cornwall (1000 Genomes) 2.08
6 British (Dodecad) 2.08
7 Kent (1000 Genomes) 2.12
8 British_Isles (Dodecad) 2.9
9 Argyll (1000 Genomes) 3.22
10 Irish (Dodecad) 3.44
11 Orcadian (HGDP) 3.66
12 Orkney (1000 Genomes) 4.08
13 Polish (Dodecad) 5.48
14 Ukranians (Yunusbayev) 5.53
15 Hungarians (Behar) 6.54
16 Belorussian (Behar) 7.43
17 Norwegian (Dodecad) 7.79
18 Swedish (Dodecad) 8.11
19 French (HGDP) 8.13
20 French (Dodecad) 9.03


Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 96.5% British_Isles (Dodecad) + 3.5% Brahui (HGDP) @ 0.29
2 96.5% British_Isles (Dodecad) + 3.5% Makrani @ 0.29
3 96.5% British_Isles (Dodecad) + 3.5% Balochi (HGDP) @ 0.34
4 85.5% Orkney (1000 Genomes) + 14.5% Romanians (Behar) @ 0.4
5 97.3% Kent (1000 Genomes) + 2.7% Sindhi (HGDP) @ 0.43
6 97.1% Kent (1000 Genomes) + 2.9% Pathan (HGDP) @ 0.43
7 97.2% Kent (1000 Genomes) + 2.8% Burusho (HGDP) @ 0.45
8 98.5% CEU30 (1000Genomes) + 1.5% Balochi (HGDP) @ 0.47
9 98.5% CEU30 (1000Genomes) + 1.5% Brahui (HGDP) @ 0.48
10 99% German (Dodecad) + 1% Malayan (Chaubey) @ 0.48
11 99% German (Dodecad) + 1% MALAYAN (Behar) @ 0.48
12 98.5% CEU30 (1000Genomes) + 1.5% Kalash @ 0.5
13 98.3% CEU30 (1000Genomes) + 1.7% Pathan (HGDP) @ 0.51
14 99% German (Dodecad) + 1% SAKILLI @ 0.51
15 99% German (Dodecad) + 1% Sakilli (Chaubey) @ 0.51
16 99% German (Dodecad) + 1% Pulliyar (Metspalu) @ 0.52
17 99% German (Dodecad) + 1% Paniya (Chaubey) @ 0.52
18 98.1% CEU30 (1000Genomes) + 1.9% Lezgins (Behar) @ 0.53
19 97.5% Kent (1000 Genomes) + 2.5% Kalash @ 0.53
20 98.5% CEU30 (1000Genomes) + 1.5% Makrani @ 0.53

Using 4 populations approximation:
1 Mixed_Germanic + Dutch + Dutch + Argyll @ 0.787
2 British_Isles + Dutch + Dutch + Dutch @ 0.801
3 Irish + Mixed_Germanic + Dutch + Dutch @ 0.802
4 Dutch + Dutch + CEU30 + CEU30 @ 0.804
5 Mixed_Germanic + Dutch + Dutch + Orcadian @ 0.812
6 Mixed_Germanic + Dutch + CEU30 + Argyll @ 0.820
7 Dutch + Dutch + Dutch + CEU30 @ 0.823
8 British + Dutch + Dutch + Dutch @ 0.840
9 Dutch + Dutch + Dutch + Orcadian @ 0.845
10 Mixed_Germanic + Mixed_Germanic + CEU30 + Argyll @ 0.849
11 Irish + Dutch + Dutch + Dutch @ 0.853
12 Mixed_Germanic + Mixed_Germanic + Dutch + Argyll @ 0.854
13 Mixed_Germanic + Dutch + Dutch + Orkney @ 0.859
14 Dutch + Dutch + Dutch + Cornwall @ 0.870
15 Dutch + Dutch + Dutch + Argyll @ 0.886
16 Dutch + Dutch + CEU30 + Cornwall @ 0.892
17 German + Dutch + Dutch + CEU30 @ 0.892
18 Mixed_Germanic + Dutch + Cornwall + Argyll @ 0.893
19 British + Dutch + Dutch + CEU30 @ 0.893
20 Dutch + Dutch + Dutch + Orkney @ 0.901

Stephen1986
04-24-2014, 03:13 PM
Myself
Admixture results


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

Single population results


1 British_Isles @ 2.035
2 Orkney @ 2.164
3 Orcadian @ 2.465
4 Irish @ 2.668
5 Kent @ 2.924
6 British @ 2.979
7 Cornwall @ 3.104
8 Argyll @ 3.732
9 CEU30 @ 3.808
10 German @ 4.471

2 population results


1 50% British_Isles +50% Orkney @ 1.876
2 50% British_Isles +50% British_Isles @ 2.035
3 50% Orkney +50% Kent @ 2.056
4 50% British_Isles +50% Orcadian @ 2.075
5 50% Orkney +50% Cornwall @ 2.102
6 50% Orkney +50% Orkney @ 2.164
7 50% Irish +50% British_Isles @ 2.172
8 50% British +50% Orkney @ 2.180
9 50% Orcadian +50% Orkney @ 2.291
10 50% Orcadian +50% Kent @ 2.312

4 population results


1 French_Basque + Lithuanians + Argyll + Argyll @ 1.384
2 Irish + French_Basque + Lithuanians + Argyll @ 1.391
3 Irish + Lithuanians + Argyll + Pais_Vasco @ 1.405
4 Lithuanians + Argyll + Argyll + Pais_Vasco @ 1.419
5 Polish + French_Basque + Lithuanians + Kent @ 1.439
6 Irish + Irish + Lithuanians + Pais_Vasco @ 1.448
7 Irish + Irish + French_Basque + Lithuanians @ 1.454
8 Polish + French_Basque + Lithuanians + Cornwall @ 1.469
9 Polish + Lithuanians + Kent + Pais_Vasco @ 1.473
10 French_Basque + Orcadian + Lithuanians + Argyll @ 1.478
11 Orcadian + Lithuanians + Argyll + Pais_Vasco @ 1.488
12 Polish + Lithuanians + Cornwall + Pais_Vasco @ 1.502
13 German + French_Basque + Lithuanians + Argyll @ 1.516
14 Irish + German + French_Basque + Lithuanians @ 1.520
15 Polish + German + French_Basque + Lithuanians @ 1.520
16 Polish + Dutch + French_Basque + Lithuanians @ 1.527
17 French_Basque + Lithuanians + Kent + Argyll @ 1.529
18 Lithuanians + Kent + Argyll + Pais_Vasco @ 1.534
19 Irish + German + Lithuanians + Pais_Vasco @ 1.536
20 French_Basque + Lithuanians + Orkney + Argyll @ 1.540

My brother
Admixture results


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

Single population results


1 Mixed_Germanic @ 1.789
2 Dutch @ 2.101
3 CEU30 @ 2.586
4 German @ 2.726
5 Cornwall @ 2.991
6 British @ 3.234
7 Kent @ 3.278
8 British_Isles @ 4.163
9 Argyll @ 4.991
10 Irish @ 5.138

2 population results


1 50% Mixed_Germanic +50% Mixed_Germanic @ 1.789
2 50% Mixed_Germanic +50% Dutch @ 1.804
3 50% Mixed_Germanic +50% CEU30 @ 1.842
4 50% German +50% Mixed_Germanic @ 2.065
5 50% Mixed_Germanic +50% Cornwall @ 2.078
6 50% Dutch +50% Dutch @ 2.101
7 50% Polish +50% French @ 2.116
8 50% Polish +50% French @ 2.141
9 50% British +50% Mixed_Germanic @ 2.145
10 50% Dutch +50% CEU30 @ 2.193

4 population results


1 Lithuanian + Lithuanian + Romanians + Pais_Vasco @ 1.646
2 Lithuanian + Lithuanian + French_Basque + Romanians @ 1.646
3 Mixed_Germanic + Mixed_Germanic + Mixed_Germanic + CEU30 @ 1.706
4 Dutch + French + CEU30 + Argyll @ 1.708
5 Lithuanian + French_Basque + Lithuanians + Romanians @ 1.726
6 Lithuanian + Lithuanians + Romanians + Pais_Vasco @ 1.727
7 Mixed_Germanic + French + CEU30 + Argyll @ 1.754
8 Dutch + Dutch + French + Argyll @ 1.756
9 Mixed_Germanic + Mixed_Germanic + Mixed_Germanic + Dutch @ 1.757
10 French + CEU30 + CEU30 + Argyll @ 1.767
11 Mixed_Germanic + Mixed_Germanic + Dutch + CEU30 @ 1.772
12 Dutch + French + CEU30 + CEU30 @ 1.779
13 Mixed_Germanic + Mixed_Germanic + Mixed_Germanic + Mixed_Germanic @ 1.789
14 French + Dutch + CEU30 + Argyll @ 1.790
15 French + Dutch + Dutch + Argyll @ 1.791
16 French + CEU30 + CEU30 + CEU30 @ 1.795
17 Lithuanian + North_Italian + CEU30 + Orkney @ 1.795
18 Dutch + Dutch + French + Orcadian @ 1.795
19 Lithuanian + North_Italian + Orcadian + CEU30 @ 1.803
20 Mixed_Germanic + Mixed_Germanic + Dutch + Dutch @ 1.804

cyna
04-26-2014, 09:25 PM
# Population Percent
1 African 51.05
2 Atlantic_Baltic 24.72
3 Southern 8.7
4 East_Asian 8.33
5 Caucasus_Gedrosia 5.65
6 Amerindian 1.28
7 South_Asian 0.27

AJL
04-26-2014, 10:42 PM
Amerindian 0.67%
African 0.31%
Atlantic_Baltic 53.94%
Siberian 1.33%
Caucasus_Gedrosia 16.39%
Southern 26.41%
South_Asian 0.95%

Using 1 population approximation:
1 N_Italian @ 2.213
2 North_Italian @ 3.400
3 Bulgarians @ 6.368
4 Bulgarian @ 6.951
5 TSI30 @ 7.446
6 Tuscan @ 8.437
7 Baleares @ 8.773
8 Romanians @ 9.038
9 Andalucia @ 10.645
10 Murcia @ 10.692
250 iterations.

Using 2 populations approximation:
1 50% Greek +50% French @ 1.610
2 50% C_Italian +50% French @ 1.636
3 50% North_Italian +50% Bulgarians @ 1.798
4 50% French +50% C_Italian @ 1.824
5 50% Bulgarian +50% North_Italian @ 1.947
6 50% N_Italian +50% N_Italian @ 2.213
7 50% Greek +50% French @ 2.268
8 50% Sicilian +50% Mixed_Germanic @ 2.489
9 50% Sicilian +50% Cornwall @ 2.489
10 50% Ashkenazi +50% Cornwall @ 2.542
31375 iterations.

Using 3 populations approximation:
1 50% TSI30 +25% Mixed_Germanic +25% TSI30 @ 0.663
2 50% North_Italian +25% Mixed_Germanic +25% S_Italian @ 0.672
3 50% TSI30 +25% Mixed_Germanic +25% Tuscan @ 0.673
4 50% North_Italian +25% Dutch +25% S_Italian @ 0.694
5 50% N_Italian +25% Greek +25% French @ 0.716
6 50% North_Italian +25% Mixed_Germanic +25% S_Italian_Sicilian @ 0.734
7 50% Tuscan +25% Tuscan +25% Cornwall @ 0.739
8 50% Tuscan +25% Tuscan +25% Kent @ 0.741
9 50% N_Italian +25% Greek +25% French @ 0.762
10 50% Tuscan +25% TSI30 +25% Cornwall @ 0.771
672660 iterations.

Using 4 populations approximation:
1 Greek + N_Italian + French + North_Italian @ 0.622
2 Mixed_Germanic + TSI30 + TSI30 + TSI30 @ 0.663
3 Mixed_Germanic + S_Italian + North_Italian + North_Italian @ 0.672
4 Mixed_Germanic + Tuscan + TSI30 + TSI30 @ 0.673
5 C_Italian + Mixed_Germanic + North_Italian + Tuscan @ 0.687
6 Dutch + S_Italian + North_Italian + North_Italian @ 0.694
7 Greek + French + N_Italian + N_Italian @ 0.716
8 French_Basque + TSI30 + Cypriots + Argyll @ 0.724
9 O_Italian + N_Italian + French + TSI30 @ 0.727
10 Mixed_Germanic + S_Italian_Sicilian + North_Italian + North_Italian @ 0.734
11 Mixed_Germanic + S_Italian + N_Italian + North_Italian @ 0.736
12 British_Isles + French_Basque + Sardinian + Georgians @ 0.739
13 Tuscan + Tuscan + Tuscan + Cornwall @ 0.739
14 Tuscan + Tuscan + Tuscan + Kent @ 0.741
15 TSI30 + Cypriots + Argyll + Pais_Vasco @ 0.756
16 Greek + N_Italian + N_Italian + French @ 0.762
17 O_Italian + N_Italian + French + Tuscan @ 0.767
18 Tuscan + Tuscan + TSI30 + Cornwall @ 0.771
19 C_Italian + C_Italian + British_Isles + North_Italian @ 0.772
20 Mixed_Germanic + Tuscan + Tuscan + TSI30 @ 0.775

vettor
04-27-2014, 08:55 AM
these are mine ...............ONlY 3 ...and zero on the others!

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 57.06
2 Southern 25.70
3 Caucasus_Gedrosia 17.25


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

Least-squares method.

Using 1 population approximation:
1 N_Italian @ 2.559
2 North_Italian @ 4.418
3 Bulgarians @ 5.612
4 Bulgarian @ 6.538
5 Romanians @ 8.705
6 Baleares @ 8.726
7 TSI30 @ 9.349
8 Tuscan @ 10.306
9 Andalucia @ 10.731
10 Extremadura @ 10.935
250 iterations.



Using 2 populations approximation:
1 50% C_Italian +50% French @ 1.407
2 50% North_Italian +50% Bulgarians @ 1.638
3 50% Sicilian +50% British_Isles @ 1.640
4 50% Sicilian +50% Kent @ 1.652
5 50% Sicilian +50% Cornwall @ 1.690
6 50% O_Italian +50% French @ 1.706
7 50% S_Italian_Sicilian +50% British_Isles @ 1.757
8 50% Bulgarian +50% Baleares @ 1.811
9 50% British +50% Sicilian @ 1.859
10 50% N_Italian +50% Bulgarians @ 1.914
31375 iterations.



Using 3 populations approximation:
1 50% N_Italian +25% Greek +25% Mixed_Germanic @ 0.647
2 50% North_Italian +25% Greek +25% Dutch @ 0.747
3 50% TSI30 +25% TSI30 +25% Argyll @ 0.752
4 50% TSI30 +25% Irish +25% TSI30 @ 0.766
5 50% N_Italian +25% Irish +25% S_Italian_Sicilian @ 0.786
6 50% N_Italian +25% Irish +25% S_Italian @ 0.788
7 50% North_Italian +25% Greek +25% German @ 0.798
8 50% N_Italian +25% Greek +25% Dutch @ 0.804
9 50% N_Italian +25% S_Italian_Sicilian +25% Argyll @ 0.821
10 50% TSI30 +25% Polish +25% TSI30 @ 0.830
694711 iterations.



Using 4 populations approximation:
1 Greek + Dutch + N_Italian + North_Italian @ 0.600
2 Greek + Mixed_Germanic + N_Italian + N_Italian @ 0.647
3 Greek + Mixed_Germanic + N_Italian + North_Italian @ 0.673
4 Dutch + O_Italian + N_Italian + TSI30 @ 0.702
5 Greek + German + N_Italian + North_Italian @ 0.708
6 C_Italian + N_Italian + TSI30 + Argyll @ 0.721
7 Greek + Dutch + North_Italian + North_Italian @ 0.747
8 Irish + C_Italian + N_Italian + Tuscan @ 0.750
9 TSI30 + TSI30 + TSI30 + Argyll @ 0.752
10 Irish + C_Italian + N_Italian + TSI30 @ 0.764
11 C_Italian + N_Italian + Tuscan + Argyll @ 0.764
12 Irish + TSI30 + TSI30 + TSI30 @ 0.766
13 Dutch + O_Italian + N_Italian + Tuscan @ 0.769
14 German + O_Italian + N_Italian + TSI30 @ 0.770
15 German + O_Italian + N_Italian + Tuscan @ 0.783
16 Irish + S_Italian_Sicilian + N_Italian + N_Italian @ 0.786
17 Irish + S_Italian + N_Italian + N_Italian @ 0.788
18 Greek + German + North_Italian + North_Italian @ 0.798
19 Greek + Dutch + N_Italian + N_Italian @ 0.804
20 S_Italian_Sicilian + N_Italian + N_Italian + Argyll @ 0.821

1924051 iterations.

cyna
06-27-2014, 01:21 AM
AJL, do you find the African and Amerindian on other calculators and testing platforms?

CelticGerman
09-16-2014, 05:21 AM
My World9 results (surprising for I am North German without any known ancestry from the British Isles):

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 77.49
2 Caucasus_Gedrosia 11.82
3 Southern 10.04
4 Australasian 0.34
5 South_Asian 0.22
6 Amerindian 0.07
7 Siberian 0.01

Single Population Sharing:

# Population (source) Distance
1 Irish (Dodecad) 1.07
2 Orcadian (HGDP) 1.38
3 Argyll (1000 Genomes) 1.39
4 Orkney (1000 Genomes) 1.67
5 British_Isles (Dodecad) 2.06
6 British (Dodecad) 2.36
7 Kent (1000 Genomes) 2.47
8 CEU30 (1000Genomes) 2.6
9 Cornwall (1000 Genomes) 2.77
10 German (Dodecad) 2.78
11 Dutch (Dodecad) 3.36
12 Polish (Dodecad) 3.6
13 Mixed_Germanic (Dodecad) 4.44
14 Norwegian (Dodecad) 5.01
15 Swedish (Dodecad) 5.47
16 Belorussian (Behar) 5.5
17 Ukranians (Yunusbayev) 6.06
18 Russian_B (Behar) 8.18
19 Russian (Dodecad) 9.08
20 Hungarians (Behar) 9.5

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 82.5% Kent (1000 Genomes) + 17.5% Lithuanians @ 0.97
2 88.8% Irish (Dodecad) + 11.2% Dutch (Dodecad) @ 0.99
3 86.6% Irish (Dodecad) + 13.4% German (Dodecad) @ 0.99
4 99.5% Irish (Dodecad) + 0.5% Georgians (Behar) @ 1
5 99.5% Irish (Dodecad) + 0.5% Abhkasians (Yunusbayev) @ 1
6 99.4% Irish (Dodecad) + 0.6% Armenians (Behar) @ 1
7 99.5% Irish (Dodecad) + 0.5% Armenian (Dodecad) @ 1.01
8 92.1% Irish (Dodecad) + 7.9% Mixed_Germanic (Dodecad) @ 1.01
9 99.5% Irish (Dodecad) + 0.5% Assyrian (Dodecad) @ 1.01
10 99.5% Irish (Dodecad) + 0.5% Azerbaijan_Jews @ 1.01
11 99.6% Irish (Dodecad) + 0.4% Iraq_Jews (Behar) @ 1.01
12 99.4% Irish (Dodecad) + 0.6% Chechens (Yunusbayev) @ 1.01
13 99.5% Irish (Dodecad) + 0.5% Georgia_Jews (Behar) @ 1.01
14 99.4% Irish (Dodecad) + 0.6% Lezgins (Behar) @ 1.01
15 99.6% Irish (Dodecad) + 0.4% Iranian_Jews (Behar) @ 1.01
16 99.5% Irish (Dodecad) + 0.5% Cypriots (Behar) @ 1.01
17 99.4% Irish (Dodecad) + 0.6% Adygei (HGDP) @ 1.01
18 98.7% Irish (Dodecad) + 1.3% Bulgarian (Dodecad) @ 1.01
19 99.2% Irish (Dodecad) + 0.8% Greek (Dodecad) @ 1.01
20 99.5% Irish (Dodecad) + 0.5% Uzbekistan_Jews @ 1.01

jesus
09-16-2014, 05:55 AM
Admix Results (sorted):

# Population Percent
1 Caucasus_Gedrosia 44.41
2 Southern 28.06
3 South_Asian 12.13
4 Atlantic_Baltic 7
5 African 5.69
6 Amerindian 1.51
7 Australasian 1.02
8 Siberian 0.18

Single Population Sharing:

# Population (source) Distance
1 Iranians (Behar) 7.14
2 Iranian (Dodecad) 10.51
3 Kurd (Dodecad) 11.97
4 Kurds (Yunusbayev) 12.84
5 Uzbekistan_Jews 14.41
6 Turks (Behar) 15.89
7 Armenians (Yunusbayev) 16.22
8 Armenian (Dodecad) 16.45
9 Armenians (Behar) 16.59
10 Azerbaijan_Jews 16.96
11 Georgians (Behar) 17.66
12 Turkmens (Yunusbayev) 17.71
13 Assyrian (Dodecad) 17.81
14 Abhkasians (Yunusbayev) 18.33
15 Turkish (Dodecad) 18.35
16 Syrians (Behar) 18.75
17 Georgia_Jews (Behar) 19.05
18 Iranian_Jews (Behar) 19.13
19 Kumyks (Yunusbayev) 19.48
20 Makrani 20.17

Rukha
11-29-2014, 01:06 AM
# 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


# Population (source) Distance
1 Pathan (HGDP) 10.6
2 Tajiks (Yunusbayev) 12.3
3 Burusho (HGDP) 13.9
4 Balochi (HGDP) 16.28
5 Brahui (HGDP) 17.39
6 Turkmens (Yunusbayev) 17.71
7 Sindhi (HGDP) 17.93
8 Makrani 18.39
9 Kalash 19.27
10 Lezgins (Behar) 21.32
11 Kumyks (Yunusbayev) 21.83
12 Chechens (Yunusbayev) 21.99
13 North_Ossetians (Yunusbayev) 22.53
14 Balkars (Yunusbayev) 22.75
15 Adygei (HGDP) 22.76
16 Iranian (Dodecad) 23.31
17 Bnei_Menashe_Jews 23.98
18 Iranians (Behar) 26.13
19 Nogais (Yunusbayev) 27.08
20 Kurd (Dodecad) 27.17

Leeroy Jenkins
11-29-2014, 03:16 PM
My World9 results (surprising for I am North German without any known ancestry from the British Isles)

At higher K's, the Atlantic_Baltic cluster would break up and it would likely change your Oracle results. The same thing happens to me using Eurogenes K13 and K15. Using K13, I'm a super Celt with Ireland being my closest match, but when using K15, I'm closest to Norwegians and Orcadians.

My World9 results:

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 73.28
2 Caucasus_Gedrosia 12.51
3 Southern 11.81
4 South_Asian 1.09
5 Amerindian 1.08


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

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

Least-squares method.

Using 1 population approximation:
1 Dutch @ 1.437004
2 Mixed_Germanic @ 1.757239
3 German @ 1.930280
4 CEU30 @ 2.560010
5 Cornwall @ 3.274111
6 Kent @ 3.333802
7 British @ 3.433330
8 British_Isles @ 4.411017
9 Argyll @ 4.527103
10 Irish @ 4.911384
11 Orcadian @ 5.161833
12 Orkney @ 5.700326
13 Ukranians @ 5.907677
14 Hungarians @ 6.146535
15 Polish @ 6.681690
16 French @ 7.971321
17 Belorussian @ 8.683652
18 French @ 9.020409
19 Norwegian @ 9.671110
20 Swedish @ 9.924743

Using 2 populations approximation:
1 50% Orcadian +50% Hungarians @ 1.081378


Using 3 populations approximation:
1 50% CEU30 +25% CEU30 +25% Hungarians @ 0.939498


Using 4 populations approximation:
1 German + CEU30 + CEU30 + Hungarians @ 0.907270
2 CEU30 + CEU30 + CEU30 + Hungarians @ 0.939498
3 Lithuanian + North_Italian + Argyll + Argyll @ 0.941788 (most realistic given my known ancestry)
4 Mixed_Germanic + CEU30 + Hungarians + Argyll @ 0.948365
5 Dutch + CEU30 + CEU30 + Hungarians @ 0.950354

I consistently get modeled as 75% Northwestern and 25% Hungarian at GEDMatch. Even when modeling myself using ancient references, my closest 4 pop. match was Hinxton3 (Anglo-Saxon female) + Hinxton3 + Hinxton4 (male Iron Age Celt) + Mako (Hungarian Bronze Age culture).

Wulf Warrior
11-29-2014, 03:42 PM
I think the other oracle's are broken, correct on population but the distance numerics aren't showing...

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 72.45
2 Southern 12.73
3 Caucasus_Gedrosia 12.67


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

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

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic @ 1.727396
2 Dutch @ 2.295100
3 German @ 2.846143
4 CEU30 @ 3.617908
5 Cornwall @ 4.079784
6 Kent @ 4.122535
7 British @ 4.257390
8 Hungarians @ 4.902313
9 British_Isles @ 5.354685
10 Argyll @ 5.764629
11 Irish @ 6.080881
12 Ukranians @ 6.319236
13 Orcadian @ 6.359934
14 French @ 6.799885
15 Orkney @ 6.815377
16 Polish @ 7.732528
17 French @ 7.969563
18 Belorussian @ 9.700563
19 Norwegian @ 10.658816
20 Russian_B @ 10.758492

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

Gray Fox
11-30-2014, 12:23 AM
Eh..

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 71.29
2 Caucasus_Gedrosia 13.67
3 Southern 12.49
4 South_Asian 1.21


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

rms2
11-30-2014, 12:52 PM
Here's my World9 stuff.

3073

Oracle 4 info:


Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 73.31
2 Southern 12.50
3 Caucasus_Gedrosia 11.85
4 Amerindian 1.10


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

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

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic @ 1.183925
2 Dutch @ 1.650587
3 German @ 1.968909
4 CEU30 @ 2.542091
5 Cornwall @ 2.917551
6 Kent @ 2.999868
7 British @ 3.170893
8 British_Isles @ 4.213747
9 Argyll @ 4.909527
10 Irish @ 5.076369
11 Orcadian @ 5.272948
12 Orkney @ 5.736384
13 Hungarians @ 6.185804
14 Ukranians @ 6.651094
15 Polish @ 7.214583
16 French @ 7.267210
17 French @ 8.231240
18 Belorussian @ 9.224449
19 Norwegian @ 9.735244
20 Swedish @ 10.120104

Using 2 populations approximation:
1 50% Polish +50% French @ 0.939762


Using 3 populations approximation:
1 50% Irish +25% French +25% Hungarians @ 0.789765


Using 4 populations approximation:
1 German + Lithuanian + North_Italian + Orcadian @ 0.624951
2 Lithuanian + N_Italian + Orcadian + CEU30 @ 0.649926
3 Lithuanian + North_Italian + Orcadian + CEU30 @ 0.649926
4 German + Lithuanian + North_Italian + Orkney @ 0.674701
5 Lithuanian + North_Italian + Kent + Argyll @ 0.674726
6 Irish + Lithuanian + North_Italian + CEU30 @ 0.674776
7 Lithuanian + North_Italian + CEU30 + Orkney @ 0.699676
8 North_Italian + Orcadian + CEU30 + Lithuanians @ 0.699776
9 Irish + North_Italian + CEU30 + Lithuanians @ 0.724626
10 British + Lithuanian + North_Italian + Argyll @ 0.724826
11 British_Isles + Lithuanian + N_Italian + CEU30 @ 0.724926
12 Lithuanian + North_Italian + Cornwall + Argyll @ 0.726874
13 Lithuanian + N_Italian + Orcadian + Cornwall @ 0.727369
14 Lithuanian + North_Italian + CEU30 + Argyll @ 0.735755
15 Irish + German + Lithuanian + North_Italian @ 0.735937
16 Irish + Lithuanian + N_Italian + Cornwall @ 0.736816
17 French + Orcadian + Orcadian + Hungarians @ 0.746525
18 Lithuanian + N_Italian + Orcadian + Kent @ 0.748075
19 French + Hungarians + Orkney + Argyll @ 0.748463
20 French + Orcadian + Hungarians + Argyll @ 0.752109

Salkin
11-30-2014, 01:03 PM
And mine:

3074

Oracle-4 seems to perceive a lot of Celt in me.

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 77.49
2 Caucasus_Gedrosia 9.59
3 Southern 9.42
4 Amerindian 1.78
5 South_Asian 1.45


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

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

Least-squares method.

Using 1 population approximation:
1 Orcadian @ 1.707897
2 Orkney @ 1.735911
3 Irish @ 2.164348
4 British_Isles @ 2.500704
5 Argyll @ 2.805877
6 British @ 3.338685
7 Kent @ 3.613168
8 CEU30 @ 3.622580
9 Cornwall @ 3.685578
10 German @ 4.484889
11 Polish @ 4.842687
12 Norwegian @ 4.861741
13 Dutch @ 5.136426
14 Swedish @ 5.236681
15 Mixed_Germanic @ 5.999289
16 Belorussian @ 6.353378
17 Ukranians @ 7.974414
18 Russian_B @ 8.841825
19 Russian @ 9.711640
20 Lithuanian @ 11.018249

Using 2 populations approximation:
1 50% Orcadian +50% Orkney @ 1.694899


Using 3 populations approximation:
1 50% Lithuanian +25% Orcadian +25% Valencia @ 1.612954


Using 4 populations approximation:
1 Spanish + Lithuanian + Lithuanian + Orcadian @ 1.592399
2 Lithuanian + Lithuanian + Orcadian + Valencia @ 1.612954
3 Spanish + Lithuanian + Lithuanian + Orkney @ 1.647525
4 British_Isles + Lithuanian + Lithuanian + Cataluna @ 1.669067
5 Irish + Spanish + Lithuanian + Lithuanian @ 1.671927
6 Lithuanian + Lithuanian + Orcadian + Cataluna @ 1.674394
7 Lithuanian + Lithuanian + Orkney + Valencia @ 1.675672
8 Orcadian + Orcadian + Orcadian + Orkney @ 1.681618
9 Lithuanian + Lithuanian + Argyll + Aragon @ 1.686836
10 Lithuanian + Lithuanian + Orcadian + Aragon @ 1.689877
11 Orcadian + Orcadian + Orkney + Orkney @ 1.694899
12 Lithuanian + Lithuanian + Argyll + Cantabria @ 1.696564
13 Irish + Lithuanian + Lithuanian + Valencia @ 1.700192
14 Spanish + Lithuanian + Lithuanian + Argyll @ 1.707032
15 Orcadian + Orcadian + Orcadian + Orcadian @ 1.707897
16 Orcadian + Orkney + Orkney + Orkney @ 1.708373
17 Lithuanian + Lithuanian + Orcadian + Cantabria @ 1.709301
18 Lithuanian + Lithuanian + CEU30 + Cataluna @ 1.720687
19 Irish + Lithuanian + Lithuanian + Cantabria @ 1.721239
20 Lithuanian + Lithuanian + Orcadian + Castilla_Y_Leon @ 1.722103

Leeroy Jenkins
11-30-2014, 07:50 PM
And mine:

3074

Oracle-4 seems to perceive a lot of Celt in me.

That seems to be a common trend with the K9 run. Without higher K's, the Atlantic_Baltic cluster isn't broken apart into Northwest and Northeast and everyone gets pulled towards the Irish it seems. A similar thing happens for some people, myself included, when using Eurogenes K13 and K15

geebee
01-14-2015, 06:37 AM
Seems the only thing I don't get in World9 is Australasian.

Atlantic_Baltic 65.00%
Southern 16.11%
Caucasus_Gedrosia 14.71%
Amerindian 2.59%
Siberian 0.76%
East_Asian 0.39%
South_Asian 0.36%
African 0.09%
Australasian -

Using 1 population approximation:
1 Hungarians @ 4.631112
2 French @ 6.825901
3 French @ 8.061115
4 Mixed_Germanic @ 9.993916
5 Dutch @ 10.857161
6 German @ 11.416921
7 CEU30 @ 12.095622
8 Cataluna @ 12.106492
9 Ukranians @ 12.447129
10 Cornwall @ 12.451158
11 Kent @ 12.587245
12 British @ 12.772575
13 Spaniards @ 13.623009
14 Valencia @ 13.714602
15 British_Isles @ 13.831572
16 N_Italian @ 13.890854
17 Spanish @ 14.072803
18 Baleares @ 14.096170
19 Argyll @ 14.184237
20 Bulgarians @ 14.220435

Oracle-4

Using 2 populations approximation:
1 50% Bulgarian +50% Orcadian @ 2.580411

Using 3 populations approximation:
1 50% Orcadian +25% Russian_B +25% Sephardic_Jews @ 2.193259


Using 4 populations approximation:
1 Bulgarian + Brazilian + Argyll + Ukranians @ 1.846041
2 Greek + Brazilian + Belorussian + Lithuanians @ 1.867492
3 Irish + Bulgarian + Brazilian + Ukranians @ 1.892255
4 Greek + Brazilian + Lithuanian + Belorussian @ 1.901239
5 Brazilian + Argyll + Bulgarians + Ukranians @ 1.925954
6 Polish + Bulgarian + Brazilian + Ukranians @ 1.966817
7 Bulgarian + Brazilian + Orcadian + Ukranians @ 1.971197
8 Polish + Greek + Brazilian + Lithuanians @ 1.981836
9 Polish + Greek + Brazilian + Lithuanian @ 1.994841
10 Brazilian + S_Italian + Lithuanians + Lithuanians @ 2.001447
11 Greek + Swedish + Brazilian + Lithuanians @ 2.004811
12 Bulgarian + Brazilian + Hungarians + Lithuanians @ 2.011123
13 S_Italian_Sicilian + Brazilian + Lithuanians + Lithuanians @ 2.025416
14 Irish + Brazilian + Bulgarians + Ukranians @ 2.027389
15 Brazilian + S_Italian + Lithuanian + Lithuanians @ 2.034088
16 Bulgarian + Brazilian + Lithuanian + Hungarians @ 2.034647
17 Greek + Swedish + Brazilian + Lithuanian @ 2.051590
18 German + Brazilian + Bulgarians + Ukranians @ 2.052996
19 S_Italian_Sicilian + Brazilian + Lithuanian + Lithuanians @ 2.060970
20 Bulgarian + Brazilian + Orkney + Ukranians @ 2.062836

3385

Known ancestry is (approximately) half German, a quarter British, an eighth Menorcan Spanish. The remaining eighth is difficult to precisely quantify, but it includes French, Irish, Dutch, Belgian, Swiss, and Native American (possibly Choctaw, but the only documented reference I'm aware of is to "une indienne").

dp
08-31-2015, 03:34 PM
Apparently I've never posted my World9 results. These are Oracle4 run's (sorted by fit) for me and my closest relatives. Each kit has its own color to distinguish it from the others, and was used throughout the runs. The runs are for the Gaussian method, using defaults, and were generated by Admix4 (http://bga101.blogspot.com/2014/07/model-yourself-as-mixture-of-ancient.html). [That Big Red 4 lies like a tantalizing cartouche begging to be read on my toolbar (thanks to khanabadoshi for renewing my interest into such utils)]
5729573057315732
The Oracle runs seems to be a bit more realistic, or closer to my preconceived countries of origin, than the run on GEDmatch. I attribute this to the difference in thresholds.
dp :-)
PS: I was surprised at the relative clustering of results by kit when sorted by fit. The kits were from Ancestry, FamilyTreeDNA and 23andme. I do not notice any particular closeness by company to fit.
PPS: check out: http://www.anthrogenica.com/showthread.php?4879-Tutorial-%96-How-to-use-calculator-files-and-oracle-data-sheets&p=95003&viewfull=1#post95003
To compare with my Eurogenes K13 Oracles (generated as above) click here (http://www.anthrogenica.com/showthread.php?3539-Eurogenes-K13-Results&p=105770&viewfull=1#post105770)

Gray Fox
08-31-2015, 04:46 PM
Eh..

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 71.29
2 Caucasus_Gedrosia 13.67
3 Southern 12.49
4 South_Asian 1.21


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

Again, with 23&me data..

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 71.87
2 Caucasus_Gedrosia 13.32
3 Southern 12.36
4 South_Asian 1.41
5 Australasian 0.61
6 African 0.33
7 Amerindian 0.09

Oracle 4:

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic @ 2.557186
2 Dutch @ 2.865338
3 German @ 3.568160
4 CEU30 @ 4.229627
5 Hungarians @ 4.621575
6 Cornwall @ 4.875033
7 Kent @ 4.981346
8 British @ 5.002409
9 British_Isles @ 6.111881
10 Argyll @ 6.178481
11 Ukranians @ 6.226492
12 Irish @ 6.650373
13 Orcadian @ 6.911880
14 French @ 7.155480
15 Orkney @ 7.429033
16 Polish @ 8.003447
17 French @ 8.425679
18 Belorussian @ 9.928993
19 Russian_B @ 10.978725
20 Norwegian @ 11.325512

Using 2 populations approximation:
1 50% CEU30 +50% Hungarians @ 1.286792


Using 3 populations approximation:
1 50% Orcadian +25% Romanians +25% Orkney @ 1.113048


Using 4 populations approximation:
1 Romanians + Orkney + Orkney + Orkney @ 1.036004
2 Orcadian + Romanians + Orkney + Orkney @ 1.051313
3 Irish + Romanians + Orkney + Orkney @ 1.074053
4 Orcadian + Orcadian + Romanians + Orkney @ 1.113048
5 Romanians + Orkney + Orkney + Argyll @ 1.131426
6 Irish + Norwegian + British_Isles + Romanians @ 1.147835
7 Irish + Orcadian + Romanians + Orkney @ 1.148555
8 British + Irish + Norwegian + Romanians @ 1.150843
9 Irish + Norwegian + Romanians + Cornwall @ 1.167241
10 Irish + Norwegian + Orcadian + Romanians @ 1.170448
11 Irish + Irish + Romanians + Orkney @ 1.173715
12 Norwegian + Orcadian + Romanians + Kent @ 1.174191
13 Norwegian + British_Isles + Romanians + Argyll @ 1.174407
14 Norwegian + Romanians + Orkney + Kent @ 1.175041
15 Norwegian + Orcadian + Romanians + Cornwall @ 1.176032
16 Irish + Irish + Norwegian + Romanians @ 1.178648
17 Norwegian + British_Isles + Orcadian + Romanians @ 1.180028
18 British + Norwegian + Orcadian + Romanians @ 1.181905
19 Lithuanian + Romanians + Cornwall + Cornwall @ 1.182225
20 Irish + Norwegian + Romanians + Kent @ 1.183660

dp
08-31-2015, 05:20 PM
Again, with 23&me data..

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 71.87
2 Caucasus_Gedrosia 13.32
3 Southern 12.36
4 South_Asian 1.41
5 Australasian 0.61
6 African 0.33
7 Amerindian 0.09

Oracle 4:

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic @ 2.557186
2 Dutch @ 2.865338
3 German @ 3.568160
4 CEU30 @ 4.229627
5 Hungarians @ 4.621575
6 Cornwall @ 4.875033
7 Kent @ 4.981346
8 British @ 5.002409
9 British_Isles @ 6.111881
10 Argyll @ 6.178481
11 Ukranians @ 6.226492
12 Irish @ 6.650373
13 Orcadian @ 6.911880
14 French @ 7.155480
15 Orkney @ 7.429033
16 Polish @ 8.003447
17 French @ 8.425679
18 Belorussian @ 9.928993
19 Russian_B @ 10.978725
20 Norwegian @ 11.325512

Using 2 populations approximation:
1 50% CEU30 +50% Hungarians @ 1.286792


Using 3 populations approximation:
1 50% Orcadian +25% Romanians +25% Orkney @ 1.113048


Using 4 populations approximation:
1 Romanians + Orkney + Orkney + Orkney @ 1.036004
2 Orcadian + Romanians + Orkney + Orkney @ 1.051313
3 Irish + Romanians + Orkney + Orkney @ 1.074053
4 Orcadian + Orcadian + Romanians + Orkney @ 1.113048
5 Romanians + Orkney + Orkney + Argyll @ 1.131426
6 Irish + Norwegian + British_Isles + Romanians @ 1.147835
7 Irish + Orcadian + Romanians + Orkney @ 1.148555
8 British + Irish + Norwegian + Romanians @ 1.150843
9 Irish + Norwegian + Romanians + Cornwall @ 1.167241
10 Irish + Norwegian + Orcadian + Romanians @ 1.170448
11 Irish + Irish + Romanians + Orkney @ 1.173715
12 Norwegian + Orcadian + Romanians + Kent @ 1.174191
13 Norwegian + British_Isles + Romanians + Argyll @ 1.174407
14 Norwegian + Romanians + Orkney + Kent @ 1.175041
15 Norwegian + Orcadian + Romanians + Cornwall @ 1.176032
16 Irish + Irish + Norwegian + Romanians @ 1.178648
17 Norwegian + British_Isles + Orcadian + Romanians @ 1.180028
18 British + Norwegian + Orcadian + Romanians @ 1.181905
19 Lithuanian + Romanians + Cornwall + Cornwall @ 1.182225
20 Irish + Norwegian + Romanians + Kent @ 1.183660

It's neat to compare companies. I haven't tested the same person with different companies. Thought about maybe trying Ancestry around Christmas, but am working on finding out Y-DNA results of my collateral family.
You have something pulling your results eastwards of mine. My dad's side picks up some Lithuanian. I think MDLP pulls my results to look similar to your World9's. I'll run some Eurogenes K13 Oracle's tonight and post them on the appropriate thread. (Got to get component breakdown for my crew before I can run K15 Oracle's)
French seemed to be a halfway point between North Italian and Spanish in my (World9) Oracles (with maybe French Basque as an intermediary). France seems to be more admixed than I thought. Any studies done on it specifically for autosomal DNA?
dp

Edit: In addition to the Eurogenes K13 run linked in my World9 post I have added a Eurogenes EUtest (V2) K15 run (http://www.anthrogenica.com/showthread.php?3527-Post-your-Eurogenes-V2-K15-results&p=105852&viewfull=1#post105852)

Gray Fox
08-31-2015, 07:33 PM
It's neat to compare companies. I haven't tested the same person with different companies. Thought about maybe trying Ancestry around Christmas, but am working on finding out Y-DNA results of my collateral family.
You have something pulling your results eastwards of mine. My dad's side picks up some Lithuanian. I think MDLP pulls my results to look similar to your World9's. I'll run some Eurogenes K13 Oracle's tonight and post them on the appropriate thread. (Got to get component breakdown for my crew before I can run K15 Oracle's)
French seemed to be a halfway point between North Italian and Spanish in my (World9) Oracles (with maybe French Basque as an intermediary). France seems to be more admixed than I thought. Any studies done on it specifically for autosomal DNA?
dp

Autosomal is out of my realm of familiarity! I'm not sure what Ancestry's test would cost, but 23&me is around $99. Which isn't bad considering what you get.

crossover
08-31-2015, 09:39 PM
my maternal grandfather's dodecad results
mix Results (sorted):

# Population Percent
1 Atlantic_Baltic 36.92
2 Amerindian 25.41
3 Southern 21.69
4 Caucasus_Gedrosia 10.15
5 African 2.81
6 Siberian 1.53
7 East_Asian 1.31


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

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

Least-squares method.

Using 1 population approximation:
1 CLM30 @ 8.818590
2 Colombian @ 13.767543
3 PUR30 @ 18.767370
4 AthabaskHD4 @ 21.460558
5 MEX30 @ 21.709045
6 Puerto_Rican @ 22.618067
7 Brazilian @ 27.343479
8 O_Italian @ 30.687140
9 Tuscan @ 31.062521
10 C_Italian @ 31.191273
11 TSI30 @ 31.298344
12 Romanians @ 31.480215
13 Ecuadorian @ 31.528811
14 Bulgarian @ 32.206577
15 Greek @ 32.530315
16 Bulgarians @ 32.721649
17 Ashkenazy_Jews @ 32.796242
18 Sicilian @ 33.217941
19 N_Italian @ 33.355206
20 North_Italian @ 33.396896

Using 2 populations approximation:
1 50% TSI30 +50% Ecuadorian @ 1.819690


Using 3 populations approximation:
1 50% TSI30 +25% Ecuadorian +25% Ecuadorian @ 1.819690


Using 4 populations approximation:
1 MEX30 + Morocco_Jews + AthabaskHD4 + CLM30 @ 1.474386
2 MEX30 + Sephardic_Jews + AthabaskHD4 + CLM30 @ 1.483988
3 Finnish + Bedouin + Karitiana + Castilla_Y_Leon @ 1.542032
4 Finnish + Bedouin + Surui + Castilla_Y_Leon @ 1.542032
5 Bedouin + Karitiana + FIN30 + Castilla_Y_Leon @ 1.550431
6 Bedouin + Surui + FIN30 + Castilla_Y_Leon @ 1.550431
7 Finnish + Bedouin + Karitiana + Spaniards @ 1.561427
8 Finnish + Bedouin + Surui + Spaniards @ 1.561427
9 Finnish + Portuguese + Bedouin + Karitiana @ 1.564928
10 Finnish + Portuguese + Bedouin + Surui @ 1.564928
11 Finnish + Bedouin + Karitiana + Castilla_La_Mancha @ 1.571181
12 Finnish + Bedouin + Surui + Castilla_La_Mancha @ 1.571181
13 Spanish + Bedouin + Karitiana + FIN30 @ 1.574522
14 Spanish + Bedouin + Surui + FIN30 @ 1.574522
15 Bedouin + Karitiana + FIN30 + Castilla_La_Mancha @ 1.580616
16 Bedouin + Surui + FIN30 + Castilla_La_Mancha @ 1.580616
17 Greek + Ecuadorian + Ecuadorian + Baleares @ 1.582749
18 Bedouin + Karitiana + Spaniards + FIN30 @ 1.586876
19 Bedouin + Surui + Spaniards + FIN30 @ 1.586876
20 Finnish + Bedouin + Karitiana + Galicia @ 1.588328

Done.

Jessie
09-01-2015, 06:17 AM
Here's mine and I'm Irish but get German and the Germanics get Irish from looking at some previous results. Irish down at No 10.

# Population Percent
1 Atlantic_Baltic 74.81
2 Caucasus_Gedrosia 12.2
3 Southern 11.16
4 Amerindian 1.17
5 South_Asian 0.45
6 Siberian 0.21

Single Population Sharing:

# Population (source) Distance
1 German (Dodecad) 0.87
2 Dutch (Dodecad) 1.34
3 CEU30 (1000Genomes) 1.52
4 Kent (1000 Genomes) 1.98
5 Cornwall (1000 Genomes) 2.12
6 British (Dodecad) 2.14
7 Mixed_Germanic (Dodecad) 2.37
8 British_Isles (Dodecad) 2.74
9 Argyll (1000 Genomes) 2.75
10 Irish (Dodecad) 2.97
11 Orcadian (HGDP) 3.22
12 Orkney (1000 Genomes) 3.72
13 Polish (Dodecad) 5.05
14 Ukranians (Yunusbayev) 5.41
15 Hungarians (Behar) 6.97
16 Belorussian (Behar) 7.01
17 Norwegian (Dodecad) 7.36
18 Swedish (Dodecad) 7.69
19 French (HGDP) 8.66
20 Russian_B (Behar) 8.82

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 99.5% German (Dodecad) + 0.5% Karitiana @ 0.6
2 99.5% German (Dodecad) + 0.5% Surui @ 0.6
3 99.5% German (Dodecad) + 0.5% Colombians @ 0.6
4 99.5% German (Dodecad) + 0.5% Pima @ 0.61
5 99.5% German (Dodecad) + 0.5% Maya @ 0.61
6 99.4% German (Dodecad) + 0.6% PEL30 @ 0.63
7 99.2% German (Dodecad) + 0.8% Ecuadorian @ 0.68
8 96.1% Irish (Dodecad) + 3.9% Druze (HGDP) @ 0.69
9 95.8% Orcadian (HGDP) + 4.2% Georgia_Jews (Behar) @ 0.69
10 95.5% Irish (Dodecad) + 4.5% Cypriots (Behar) @ 0.69
11 99.4% German (Dodecad) + 0.6% Athabask @ 0.7
12 99.2% German (Dodecad) + 0.8% MEX30 @ 0.7
13 89.2% Irish (Dodecad) + 10.8% Bulgarian (Dodecad) @ 0.7
14 96.5% Irish (Dodecad) + 3.5% Samaritians (Behar) @ 0.71
15 96.1% Orcadian (HGDP) + 3.9% Iraq_Jews (Behar) @ 0.71
16 93.3% Irish (Dodecad) + 6.7% Greek (Dodecad) @ 0.72
17 95.9% Orcadian (HGDP) + 4.1% Assyrian (Dodecad) @ 0.72
18 96% Irish (Dodecad) + 4% Lebanese (Behar) @ 0.72
19 96.1% Orcadian (HGDP) + 3.9% Iranian_Jews (Behar) @ 0.73
20 88.4% Orcadian (HGDP) + 11.6% Bulgarian (Dodecad) @ 0.73

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

avalon
09-01-2015, 07:51 PM
Here's mine and I'm Irish but get German and the Germanics get Irish from looking at some previous results. Irish down at No 10.

# Population Percent
1 Atlantic_Baltic 74.81
2 Caucasus_Gedrosia 12.2
3 Southern 11.16
4 Amerindian 1.17
5 South_Asian 0.45
6 Siberian 0.21

Single Population Sharing:

# Population (source) Distance
1 German (Dodecad) 0.87
2 Dutch (Dodecad) 1.34
3 CEU30 (1000Genomes) 1.52
4 Kent (1000 Genomes) 1.98
5 Cornwall (1000 Genomes) 2.12
6 British (Dodecad) 2.14
7 Mixed_Germanic (Dodecad) 2.37
8 British_Isles (Dodecad) 2.74
9 Argyll (1000 Genomes) 2.75
10 Irish (Dodecad) 2.97
11 Orcadian (HGDP) 3.22
12 Orkney (1000 Genomes) 3.72
13 Polish (Dodecad) 5.05
14 Ukranians (Yunusbayev) 5.41
15 Hungarians (Behar) 6.97
16 Belorussian (Behar) 7.01
17 Norwegian (Dodecad) 7.36
18 Swedish (Dodecad) 7.69
19 French (HGDP) 8.66
20 Russian_B (Behar) 8.82

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 99.5% German (Dodecad) + 0.5% Karitiana @ 0.6
2 99.5% German (Dodecad) + 0.5% Surui @ 0.6
3 99.5% German (Dodecad) + 0.5% Colombians @ 0.6
4 99.5% German (Dodecad) + 0.5% Pima @ 0.61
5 99.5% German (Dodecad) + 0.5% Maya @ 0.61
6 99.4% German (Dodecad) + 0.6% PEL30 @ 0.63
7 99.2% German (Dodecad) + 0.8% Ecuadorian @ 0.68
8 96.1% Irish (Dodecad) + 3.9% Druze (HGDP) @ 0.69
9 95.8% Orcadian (HGDP) + 4.2% Georgia_Jews (Behar) @ 0.69
10 95.5% Irish (Dodecad) + 4.5% Cypriots (Behar) @ 0.69
11 99.4% German (Dodecad) + 0.6% Athabask @ 0.7
12 99.2% German (Dodecad) + 0.8% MEX30 @ 0.7
13 89.2% Irish (Dodecad) + 10.8% Bulgarian (Dodecad) @ 0.7
14 96.5% Irish (Dodecad) + 3.5% Samaritians (Behar) @ 0.71
15 96.1% Orcadian (HGDP) + 3.9% Iraq_Jews (Behar) @ 0.71
16 93.3% Irish (Dodecad) + 6.7% Greek (Dodecad) @ 0.72
17 95.9% Orcadian (HGDP) + 4.1% Assyrian (Dodecad) @ 0.72
18 96% Irish (Dodecad) + 4% Lebanese (Behar) @ 0.72
19 96.1% Orcadian (HGDP) + 3.9% Iranian_Jews (Behar) @ 0.73
20 88.4% Orcadian (HGDP) + 11.6% Bulgarian (Dodecad) @ 0.73

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 don't really understand how these calculators work but why is your Irish for single population sharing down at number 10? One of these days I will splash the cash on some DNA testing for myself!

Jessie
09-02-2015, 01:54 AM
I don't really understand how these calculators work but why is your Irish for single population sharing down at number 10? One of these days I will splash the cash on some DNA testing for myself!

If you notice CelticGermanic who is German has the opposite. He has Irish at no 1 and German at No 10. Something odd there. Here is my mother's and she gets Irish at No 10 as well. I find Dodecad not very accurate for me but the Dodecad V3 has Orcadian as No 1 for me so a bit better. Can anyone explain the odd results?

# Population Percent
1 Atlantic_Baltic 73.5
2 Caucasus_Gedrosia 12.54
3 Southern 11.39
4 Amerindian 1.31
5 South_Asian 1.26

Single Population Sharing:

# Population (source) Distance
1 Dutch (Dodecad) 1.57
2 German (Dodecad) 1.78
3 Mixed_Germanic (Dodecad) 2.19
4 CEU30 (1000Genomes) 2.32
5 Cornwall (1000 Genomes) 2.99
6 Kent (1000 Genomes) 3.03
7 British (Dodecad) 3.11
8 Argyll (1000 Genomes) 3.82
9 British_Isles (Dodecad) 3.86
10 Irish (Dodecad) 4.17
11 Orcadian (HGDP) 4.4
12 Orkney (1000 Genomes) 4.91
13 Ukranians (Yunusbayev) 5.39
14 Polish (Dodecad) 5.9
15 Hungarians (Behar) 5.95
16 Belorussian (Behar) 7.79
17 French (HGDP) 7.99
18 Norwegian (Dodecad) 8.55
19 Swedish (Dodecad) 8.79
20 French (Dodecad) 8.96

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 98.9% Dutch (Dodecad) + 1.1% Karitiana @ 0.63
2 98.9% Dutch (Dodecad) + 1.1% Surui @ 0.63
3 98.8% Dutch (Dodecad) + 1.2% Colombians @ 0.63
4 98.8% Dutch (Dodecad) + 1.2% Pima @ 0.64
5 98.8% Dutch (Dodecad) + 1.2% Maya @ 0.64
6 98.6% Dutch (Dodecad) + 1.4% PEL30 @ 0.66
7 98.1% Dutch (Dodecad) + 1.9% Ecuadorian @ 0.75
8 97.8% Dutch (Dodecad) + 2.2% MEX30 @ 0.78
9 98.5% Dutch (Dodecad) + 1.5% Athabask @ 0.81
10 94.2% Orcadian (HGDP) + 5.8% Uzbekistan_Jews @ 0.88
11 94.7% Orcadian (HGDP) + 5.3% Iranian_Jews (Behar) @ 0.89
12 94.4% Orcadian (HGDP) + 5.6% Azerbaijan_Jews @ 0.9
13 84.4% Orcadian (HGDP) + 15.6% Romanians (Behar) @ 0.9
14 94.6% Orcadian (HGDP) + 5.4% Iraq_Jews (Behar) @ 0.91
15 97.6% Dutch (Dodecad) + 2.4% Colombian @ 0.92
16 94.3% Orcadian (HGDP) + 5.7% Georgia_Jews (Behar) @ 0.92
17 94.4% Orcadian (HGDP) + 5.6% Assyrian (Dodecad) @ 0.92
18 85.1% Irish (Dodecad) + 14.9% Romanians (Behar) @ 0.96
19 94.2% Orcadian (HGDP) + 5.8% Armenian (Dodecad) @ 0.97
20 92.9% Orcadian (HGDP) + 7.1% Turkish (Dodecad) @ 0.97

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

crossover
09-02-2015, 03:51 AM
If you notice CelticGermanic who is German has the opposite. He has Irish at no 1 and German at No 10. Something odd there. Here is my mother's and she gets Irish at No 10 as well. I find Dodecad not very accurate for me but the Dodecad V3 has Orcadian as No 1 for me so a bit better. Can anyone explain the odd results?

# Population Percent
1 Atlantic_Baltic 73.5
2 Caucasus_Gedrosia 12.54
3 Southern 11.39
4 Amerindian 1.31
5 South_Asian 1.26

Single Population Sharing:

# Population (source) Distance
1 Dutch (Dodecad) 1.57
2 German (Dodecad) 1.78
3 Mixed_Germanic (Dodecad) 2.19
4 CEU30 (1000Genomes) 2.32
5 Cornwall (1000 Genomes) 2.99
6 Kent (1000 Genomes) 3.03
7 British (Dodecad) 3.11
8 Argyll (1000 Genomes) 3.82
9 British_Isles (Dodecad) 3.86
10 Irish (Dodecad) 4.17
11 Orcadian (HGDP) 4.4
12 Orkney (1000 Genomes) 4.91
13 Ukranians (Yunusbayev) 5.39
14 Polish (Dodecad) 5.9
15 Hungarians (Behar) 5.95
16 Belorussian (Behar) 7.79
17 French (HGDP) 7.99
18 Norwegian (Dodecad) 8.55
19 Swedish (Dodecad) 8.79
20 French (Dodecad) 8.96

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 98.9% Dutch (Dodecad) + 1.1% Karitiana @ 0.63
2 98.9% Dutch (Dodecad) + 1.1% Surui @ 0.63
3 98.8% Dutch (Dodecad) + 1.2% Colombians @ 0.63
4 98.8% Dutch (Dodecad) + 1.2% Pima @ 0.64
5 98.8% Dutch (Dodecad) + 1.2% Maya @ 0.64
6 98.6% Dutch (Dodecad) + 1.4% PEL30 @ 0.66
7 98.1% Dutch (Dodecad) + 1.9% Ecuadorian @ 0.75
8 97.8% Dutch (Dodecad) + 2.2% MEX30 @ 0.78
9 98.5% Dutch (Dodecad) + 1.5% Athabask @ 0.81
10 94.2% Orcadian (HGDP) + 5.8% Uzbekistan_Jews @ 0.88
11 94.7% Orcadian (HGDP) + 5.3% Iranian_Jews (Behar) @ 0.89
12 94.4% Orcadian (HGDP) + 5.6% Azerbaijan_Jews @ 0.9
13 84.4% Orcadian (HGDP) + 15.6% Romanians (Behar) @ 0.9
14 94.6% Orcadian (HGDP) + 5.4% Iraq_Jews (Behar) @ 0.91
15 97.6% Dutch (Dodecad) + 2.4% Colombian @ 0.92
16 94.3% Orcadian (HGDP) + 5.7% Georgia_Jews (Behar) @ 0.92
17 94.4% Orcadian (HGDP) + 5.6% Assyrian (Dodecad) @ 0.92
18 85.1% Irish (Dodecad) + 14.9% Romanians (Behar) @ 0.96
19 94.2% Orcadian (HGDP) + 5.8% Armenian (Dodecad) @ 0.97
20 92.9% Orcadian (HGDP) + 7.1% Turkish (Dodecad) @ 0.97

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

what is ceu30 and argyll

avalon
09-03-2015, 09:34 AM
what is ceu30 and argyll

Not sure about ceu30 but Argyll is in Western Scotland so geographically very close to Ireland and the archaelogical links between Ireland and Western Britain go back a long time.

crossover
09-03-2015, 02:09 PM
I don't really understand how these calculators work but why is your Irish for single population sharing down at number 10? One of these days I will splash the cash on some DNA testing for myself!

yeah it's weird that my grandpa jose gets clm30 as top result even though he's mexican

ArmandoR1b
09-03-2015, 02:51 PM
what is ceu30 and argyll


Not sure about ceu30

CEU30 is Utah residents with Northern and Western European ancestry and the dataset is from the 1000 Genomes project. http://www.1000genomes.org/faq/which-samples-are-you-sequencing

Arslan
09-03-2015, 02:57 PM
World9 Admixture Proportions

Amerindian 0.64%
East_Asian 5.16%
African -
Atlantic_Baltic 26.85%
Australasian 0.49%
Siberian 7.25%
Caucasus_Gedrosia 32.23%
Southern 26.19%
South_Asian 1.19%

World9 4-Ancestors Oracle

Using 1 population approximation:
1 Turkish @ 12.019739
2 Nogais @ 14.425605
3 Turks @ 14.962671
4 Ashkenazy_Jews @ 17.448782
5 S_Italian @ 17.945992
6 Ashkenazi @ 17.973351
7 Balkars @ 18.029379
8 Greek @ 18.230135
9 S_Italian_Sicilian @ 18.340813
10 Kumyks @ 18.780859
11 Sicilian @ 19.125349
12 Adygei @ 19.256773
13 Turkmens @ 20.089798
14 Sephardic_Jews @ 20.108137
15 North_Ossetians @ 20.761017
16 Armenians @ 20.900328
17 Cypriots @ 21.322731
18 Chechens @ 22.477745
19 Morocco_Jews @ 22.737925
20 C_Italian @ 23.080826

Using 2 populations approximation:
1 50% Sephardic_Jews +50% Nogais @ 3.290525

Using 3 populations approximation:
1 50% S_Italian_Sicilian +25% Uzbeks +25% North_Ossetians @ 0.966233

Using 4 populations approximation:
1 Romanians + Samaritians + Nogais + Nogais @ 0.632406
2 Ashkenazi + S_Italian + Uzbeks + North_Ossetians @ 0.926852
3 Ashkenazi + S_Italian_Sicilian + Uzbeks + North_Ossetians @ 0.934453
4 S_Italian_Sicilian + S_Italian_Sicilian + Uzbeks + North_Ossetians @ 0.966233
5 S_Italian_Sicilian + Ashkenazy_Jews + Uzbeks + North_Ossetians @ 0.991609
6 S_Italian + Ashkenazy_Jews + Uzbeks + North_Ossetians @ 0.994868
7 S_Italian_Sicilian + S_Italian + Uzbeks + North_Ossetians @ 0.995576
8 Greek + Sephardic_Jews + Uzbeks + Balkars @ 1.059057
9 Tuscan + Cypriots + Uzbeks + Balkars @ 1.059732
10 S_Italian + S_Italian + Uzbeks + North_Ossetians @ 1.065496
11 TSI30 + Cypriots + Uzbeks + North_Ossetians @ 1.081469
12 Greek + Sephardic_Jews + Uzbeks + North_Ossetians @ 1.082885
13 Ashkenazi + Ashkenazy_Jews + Uzbeks + North_Ossetians @ 1.096414
14 Druze + North_Italian + Uzbeks + Balkars @ 1.118255
15 Ashkenazi + Ashkenazi + Uzbeks + North_Ossetians @ 1.122470
16 Sicilian + S_Italian + Uzbeks + North_Ossetians @ 1.131132
17 Tuscan + Cypriots + Uzbeks + North_Ossetians @ 1.143534
18 Ashkenazi + Sicilian + Uzbeks + North_Ossetians @ 1.157087
19 TSI30 + Cypriots + Uzbeks + Balkars @ 1.161680
20 Sicilian + S_Italian_Sicilian + Uzbeks + North_Ossetians @ 1.162203

ArmandoR1b
09-03-2015, 02:59 PM
yeah it's weird that my grandpa jose gets clm30 as top result even though he's mexican

It just means that Oracle found more SNPs in common between your grandfather and Colombians in the dataset than with the Mexicans in the dataset. One of the reasons all of the calculators have different results is because of different datasets or reference populations.

Asimakidis
09-10-2015, 07:51 PM
My father's results (50%thracian greek/50%pontic greek)
I reacted on the 4 oracle distance 0.0..

Admix Results (sorted):

# Population Percent
1 Caucasus_Gedrosia 36.92
2 Southern 32.34
3 Atlantic_Baltic 29.72
4 East_Asian 0.58
5 Amerindian 0.22
6 Australasian 0.15
7 African 0.08

Single Population Sharing:

# Population (source) Distance
1 Turkish (Dodecad) 8.66
2 S_Italian (Dodecad) 12.19
3 Turks (Behar) 12.64
4 S_Italian_Sicilian (Dodecad) 12.69
5 Ashkenazy_Jews 12.96
6 Ashkenazi (Dodecad) 13.22
7 Greek (Dodecad) 13.25
8 Sicilian (Dodecad) 13.96
9 Cypriots (Behar) 14.27
10 Armenians (Behar) 14.29
11 Sephardic_Jews (Behar) 14.43
12 Balkars (Yunusbayev) 17.48
13 Adygei (HGDP) 17.54
14 Morocco_Jews (Behar) 17.66
15 Kumyks (Yunusbayev) 18.06
16 C_Italian (Dodecad) 18.6
17 North_Ossetians (Yunusbayev) 19.69
18 Chechens (Yunusbayev) 19.97
19 O_Italian (Dodecad) 20.3
20 Lebanese (Behar) 20.61

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 62.9% Armenians (Behar) + 37.1% TSI30 (Metspalu) @ 0.61
2 62.1% Armenians (Behar) + 37.9% Tuscan (HGDP) @ 0.64
3 68.2% Armenian (Dodecad) + 31.8% French (Dodecad) @ 0.69
4 58.7% Armenians (Behar) + 41.3% O_Italian (Dodecad) @ 0.74
5 72.1% Armenians (Behar) + 27.9% Baleares (1000 Genomes) @ 0.8
6 72.8% Armenians (Behar) + 27.2% Andalucia (1000 Genomes) @ 0.81
7 69% Armenians (Behar) + 31% North_Italian (HGDP) @ 0.82
8 75.4% Armenians (Behar) + 24.6% Aragon (1000 Genomes) @ 0.84
9 65.7% Greek (Dodecad) + 34.3% Abhkasians (Yunusbayev) @ 0.85
10 68.5% Assyrian (Dodecad) + 31.5% Kent (1000 Genomes) @ 0.85
11 74.1% Armenians (Behar) + 25.9% Castilla_Y_Leon (1000 Genomes) @ 0.85
12 73.8% Armenians (Behar) + 26.2% Castilla_La_Mancha (1000 Genomes) @ 0.87
13 67.4% Assyrian (Dodecad) + 32.6% Mixed_Germanic (Dodecad) @ 0.89
14 68.4% Assyrian (Dodecad) + 31.6% Cornwall (1000 Genomes) @ 0.89
15 74.6% Armenians (Behar) + 25.4% Spanish (Dodecad) @ 0.93
16 73.9% Armenians (Behar) + 26.1% Spaniards (Behar) @ 0.94
17 74.5% Armenians (Behar) + 25.5% Valencia (1000 Genomes) @ 0.96
18 68.9% Assyrian (Dodecad) + 31.1% British_Isles (Dodecad) @ 0.97
19 75.6% Armenians (Behar) + 24.4% Cantabria (1000 Genomes) @ 0.97
20 73.5% Armenians (Behar) + 26.5% Galicia (1000 Genomes) @ 0.98

Least-squares method.

Using 1 population approximation:
1 Turkish @ 9.632359
2 S_Italian @ 13.417338
3 S_Italian_Sicilian @ 13.994728
4 Turks @ 14.060765
5 Ashkenazy_Jews @ 14.352141
6 Ashkenazi @ 14.570008
7 Greek @ 14.809549
8 Cypriots @ 15.323618
9 Sicilian @ 15.401584
10 Sephardic_Jews @ 15.518291
11 Armenians @ 16.001656
12 Balkars @ 18.870316
13 Morocco_Jews @ 18.935091
14 Adygei @ 18.983801
15 Kumyks @ 19.593929
16 C_Italian @ 20.806585
17 North_Ossetians @ 21.399630
18 Chechens @ 21.620392
19 Lebanese @ 22.305300
20 O_Italian @ 22.718449

Using 2 populations approximation:
1 50% Greek +50% Armenians @ 1.707349


Using 3 populations approximation:
1 50% Tuscan +25% Armenians +25% Abhkasians @ 0.533434


Using 4 populations approximation:
1 Mixed_Germanic + Cypriots + Georgia_Jews + Georgians @ 0.000000
2 Armenian + O_Italian + TSI30 + Abhkasians @ 0.277966
3 O_Italian + Tuscan + Georgians + Armenians @ 0.280059
4 Armenian + O_Italian + Tuscan + Abhkasians @ 0.296082
5 Armenian + Greek + North_Italian + Abhkasians @ 0.368624
6 C_Italian + TSI30 + Georgians + Armenians @ 0.414052
7 O_Italian + TSI30 + Armenians + Abhkasians @ 0.484829
8 S_Italian_Sicilian + N_Italian + Georgians + Armenians @ 0.511128
9 Tuscan + Tuscan + Armenians + Abhkasians @ 0.533434
10 Armenian + Tuscan + Tuscan + Abhkasians @ 0.558470
11 C_Italian + C_Italian + Armenians + Georgians @ 0.568853
12 Armenian + O_Italian + O_Italian + Georgians @ 0.569212
13 Armenian + S_Italian_Sicilian + N_Italian + Georgians @ 0.591082
14 Greek + North_Italian + Armenians + Abhkasians @ 0.609953
15 C_Italian + Tuscan + Georgians + Armenians @ 0.610915
16 S_Italian + N_Italian + Georgians + Armenians @ 0.620518
17 Sicilian + N_Italian + Georgians + Armenians @ 0.620718
18 S_Italian_Sicilian + TSI30 + Armenians + Georgians @ 0.625085
19 Greek + Assyrian + N_Italian + Georgians @ 0.629318
20 Greek + Assyrian + N_Italian + Abhkasians @ 0.635494

Asimakidis
09-10-2015, 07:54 PM
My results (75%pontic greek 25 thracian greek)

Admix Results (sorted):

# Population Percent
1 Caucasus_Gedrosia 43.44
2 Southern 36.14
3 Atlantic_Baltic 19.55
4 Siberian 0.69
5 East_Asian 0.13
6 African 0.04

Single Population Sharing:

# Population (source) Distance
1 Armenians (Behar) 4.89
2 Turkish (Dodecad) 6.41
3 Turks (Behar) 6.99
4 Armenian (Dodecad) 9.7
5 Uzbekistan_Jews 10.32
6 Armenians (Yunusbayev) 10.47
7 Cypriots (Behar) 10.93
8 Georgia_Jews (Behar) 11.5
9 Assyrian (Dodecad) 12.35
10 Azerbaijan_Jews 12.48
11 Kurds (Yunusbayev) 13.24
12 Druze (HGDP) 13.33
13 Kurd (Dodecad) 13.61
14 Lebanese (Behar) 13.79
15 Syrians (Behar) 13.98
16 Georgians (Behar) 14.55
17 Iranians (Behar) 15.08
18 Iranian (Dodecad) 15.29
19 Iraq_Jews (Behar) 16.1
20 Kumyks (Yunusbayev) 16.43

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 81.6% Armenian (Dodecad) + 18.4% North_Italian (HGDP) @ 0.81
2 86.7% Armenian (Dodecad) + 13.3% French_Basque @ 0.82
3 81.6% Armenian (Dodecad) + 18.4% N_Italian (Dodecad) @ 0.83
4 86.7% Armenian (Dodecad) + 13.3% Pais_Vasco (1000 Genomes) @ 0.84
5 85.1% Armenian (Dodecad) + 14.9% Cantabria (1000 Genomes) @ 0.88
6 84.7% Armenian (Dodecad) + 15.3% Cataluna (1000 Genomes) @ 0.88
7 83.2% Armenian (Dodecad) + 16.8% Baleares (1000 Genomes) @ 0.89
8 84.5% Armenian (Dodecad) + 15.5% Valencia (1000 Genomes) @ 0.89
9 84.2% Armenian (Dodecad) + 15.8% Spaniards (Behar) @ 0.89
10 78.4% Armenian (Dodecad) + 21.6% TSI30 (Metspalu) @ 0.9
11 84.6% Armenian (Dodecad) + 15.4% Spanish (Dodecad) @ 0.91
12 69.5% Armenians (Yunusbayev) + 30.5% Greek (Dodecad) @ 0.91
13 85% Armenian (Dodecad) + 15% Aragon (1000 Genomes) @ 0.91
14 78% Armenian (Dodecad) + 22% Tuscan (HGDP) @ 0.94
15 76.4% Armenian (Dodecad) + 23.6% O_Italian (Dodecad) @ 0.95
16 77.1% Armenians (Yunusbayev) + 22.9% TSI30 (Metspalu) @ 0.96
17 76.7% Armenians (Yunusbayev) + 23.3% Tuscan (HGDP) @ 0.97
18 83.6% Armenian (Dodecad) + 16.4% Andalucia (1000 Genomes) @ 0.99
19 75% Armenians (Yunusbayev) + 25% O_Italian (Dodecad) @ 0.99
20 84.2% Armenian (Dodecad) + 15.8% Castilla_La_Mancha (1000 Genomes) @ 1.02

Least-squares method.

Using 1 population approximation:
1 Armenians @ 5.340202
2 Turkish @ 6.872019
3 Turks @ 7.352046
4 Armenian @ 10.847374
5 Uzbekistan_Jews @ 11.557899
6 Armenians @ 11.715119
7 Cypriots @ 11.801450
8 Georgia_Jews @ 12.564259
9 Assyrian @ 13.703278
10 Azerbaijan_Jews @ 13.899940
11 Druze @ 14.310466
12 Lebanese @ 14.564095
13 Kurds @ 14.702802
14 Syrians @ 14.882897
15 Kurd @ 15.132010
16 Georgians @ 15.928088
17 Iranians @ 16.675726
18 Iranian @ 16.842066
19 Kumyks @ 17.280724
20 Balkars @ 17.666080

Using 2 populations approximation:
1 50% Sephardic_Jews +50% Abhkasians @ 1.889346


Using 3 populations approximation:
1 50% Armenian +25% Greek +25% Armenians @ 0.794304


Using 4 populations approximation:
1 Cypriots + Georgians + Georgians + Sephardic_Jews @ 0.654232
2 Armenian + C_Italian + Georgia_Jews + Georgians @ 0.773784
3 S_Italian_Sicilian + Armenians + Georgia_Jews + Georgians @ 0.782721
4 Armenian + Armenian + Greek + Armenians @ 0.794304
5 O_Italian + Georgians + Samaritians + Abhkasians @ 0.805598
6 C_Italian + Georgia_Jews + Georgians + Armenians @ 0.815015
7 S_Italian + Armenians + Georgia_Jews + Georgians @ 0.843444
8 Tuscan + Samaritians + Abhkasians + Abhkasians @ 0.865539
9 Armenian + Greek + Armenians + Armenians @ 0.871698
10 C_Italian + Georgians + Samaritians + Abhkasians @ 0.884133
11 Sicilian + Armenians + Georgia_Jews + Georgians @ 0.911252
12 TSI30 + Samaritians + Abhkasians + Abhkasians @ 0.922197
13 Armenian + O_Italian + Armenians + Armenians @ 0.943017
14 C_Italian + Georgians + Georgians + Samaritians @ 0.948563
15 Ashkenazi + Armenians + Georgia_Jews + Georgians @ 0.950051
16 O_Italian + Armenians + Armenians + Armenians @ 0.950186
17 Armenian + O_Italian + Georgians + Iraq_Jews @ 0.952237
18 Assyrian + TSI30 + Georgians + Iranian_Jews @ 0.955334
19 Armenian + Greek + Armenians + Azerbaijan_Jews @ 0.956667
20 Assyrian + Assyrian + O_Italian + Georgians @ 0.965245

BalkanKiwi
10-23-2015, 09:20 AM
Old school B)

23andMe

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

FTDNA

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 68.81
2 Southern 14.67
3 Caucasus_Gedrosia 14.14
4 South_Asian 1.64
5 Australasian 0.69
6 African 0.04
7 Siberian 0.02

Tag Heuer
11-03-2015, 11:50 PM
The most accurate calculator for Caucasians I think.

Admix Results (sorted):

# Population Percent
1 Caucasus_Gedrosia 49.01
2 Atlantic_Baltic 25.43
3 Southern 17.34
4 South_Asian 3.80
5 Siberian 2.31
6 Amerindian 1.14


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

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

Least-squares method.

Using 1 population approximation:
1 Chechens @ 4.653607
2 Adygei @ 5.299153
3 Balkars @ 6.359701
4 Kumyks @ 6.843972
5 Lezgins @ 6.891725
6 North_Ossetians @ 7.868966
7 Tajiks @ 16.333893
8 Turks @ 16.839518
9 Georgians @ 17.138790
10 Turkmens @ 17.590134
11 Armenians @ 18.142649
12 Turkish @ 18.299334
13 Iranian @ 18.989622
14 Abhkasians @ 19.698259
15 Nogais @ 20.242224
16 Kurds @ 20.952553
17 Kurd @ 21.220060
18 Iranians @ 23.007557
19 Armenians @ 25.299549
20 Armenian @ 25.403028

Using 2 populations approximation:
1 50% Adygei +50% Chechens @ 4.645236


Using 3 populations approximation:
1 50% Chechens +25% Chechens +25% Tajiks @ 3.619863


Using 4 populations approximation:
1 Bulgarian + Kalash + Georgians + Chechens @ 2.806382
2 Kalash + Hungarians + Abhkasians + Abhkasians @ 2.813532
3 Kalash + Georgians + Bulgarians + Chechens @ 2.816976
4 Kalash + Georgians + Hungarians + Abhkasians @ 2.819799
5 Kalash + Bulgarians + Abhkasians + Chechens @ 2.889246
6 Adygei + Kalash + Bulgarians + Abhkasians @ 2.894599
7 Bulgarian + Adygei + Kalash + Georgians @ 2.903262
8 Adygei + Kalash + Georgians + Bulgarians @ 2.917181
9 Kalash + Georgians + Bulgarians + North_Ossetians @ 2.925998
10 Bulgarian + Adygei + Kalash + Abhkasians @ 2.977055
11 Bulgarian + Kalash + Abhkasians + Chechens @ 2.991988
12 Bulgarian + Kalash + Georgians + North_Ossetians @ 2.998079
13 Kalash + Bulgarians + Abhkasians + Balkars @ 3.002241
14 Bulgarian + Kalash + Georgians + Balkars @ 3.012065
15 Kalash + Georgians + Bulgarians + Balkars @ 3.015220
16 Brahui + Mordovians + Abhkasians + Abhkasians @ 3.031342
17 Kalash + Georgians + Lezgins + Bulgarians @ 3.061731
18 Russian + Brahui + Abhkasians + Abhkasians @ 3.071036
19 Bulgarian + Kalash + Georgians + Lezgins @ 3.077626
20 Bulgarian + Kalash + Abhkasians + Balkars @ 3.086461

william0509
12-22-2015, 11:54 PM
# Population Percent
1 East Asian 86.76
2 Siberian 12.77
3 Amerindian 0.25
4 Australasian 0.16
5 African 0.05
The result is quite different from K7b, in which I have 1.25% of East European.

Lirio100
12-23-2015, 03:18 AM
FTDNA

# Population Percent
1 Atlantic_Baltic 69.53
2 Caucasus_Gedrosia 14.44
3 Southern 14.24
4 Siberian 1.44
5 Amerindian 0.21
6 South_Asian 0.11
7 Australasian 0.04

singingfalls
12-29-2015, 05:13 AM
http://www.anthrogenica.com/attachment.php?attachmentid=7110&stc=1


#
Population
Percent


1
Atlantic_Baltic
75.74


2
Caucasus_Gedrosia
13.28


3
Southern
7.95


4
South_Asian
2.01




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

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

Least-squares method.

Using 1 population approximation:
1 Argyll @ 2.402044
2 Polish @ 2.643121
3 Irish @ 3.478443
4 Orcadian @ 3.839528
5 German @ 4.094559
6 Ukranians @ 4.132226
7 CEU30 @ 4.163075
8 Orkney @ 4.324808
9 Dutch @ 4.376422
10 Belorussian @ 4.391585
11 British @ 4.671005
12 British_Isles @ 4.780949
13 Kent @ 4.938105
14 Cornwall @ 5.121768
15 Mixed_Germanic @ 5.791272
16 Russian_B @ 6.425597
17 Swedish @ 6.537401
18 Norwegian @ 6.804088
19 Russian @ 7.319423
20 Hungarians @ 9.842919

Using 2 populations approximation:
1 50% Dutch +50% Belorussian @ 1.693689


Using 3 populations approximation:
1 50% Argyll +25% Argyll +25% Ukranians @ 1.572121


Using 4 populations approximation:
1 Polish + Argyll + Argyll + Ukranians @ 1.496853
2 Norwegian + Lithuanian + Lithuanian + Romanians @ 1.499598
3 CEU30 + Belorussian + Argyll + Ukranians @ 1.531715
4 Argyll + Argyll + Argyll + Ukranians @ 1.572121
5 Swedish + Lithuanian + Lithuanian + Romanians @ 1.573340
6 Dutch + Belorussian + Argyll + Ukranians @ 1.575202
7 Lithuanian + Lithuanian + Lithuanian + TSI30 @ 1.581627
8 Norwegian + Lithuanian + Lithuanians + Romanians @ 1.599340
9 Polish + CEU30 + Argyll + Ukranians @ 1.623575
10 Dutch + Orcadian + Belorussian + Ukranians @ 1.624298
11 Lithuanian + Orcadian + Hungarians + Ukranians @ 1.627643
12 Lithuanian + Lithuanian + Romanians + Orkney @ 1.628567
13 German + Belorussian + Argyll + Ukranians @ 1.632971
14 Polish + Dutch + Lithuanian + Hungarians @ 1.634395
15 Irish + Dutch + Belorussian + Ukranians @ 1.635816
16 Irish + Polish + Argyll + Ukranians @ 1.636537
17 Polish + Orcadian + Argyll + Ukranians @ 1.638296
18 Belorussian + Argyll + Argyll + Ukranians @ 1.648245
19 Lithuanian + Hungarians + Argyll + Ukranians @ 1.654032
20 Polish + Polish + CEU30 + Ukranians @ 1.654461

Star93
12-29-2015, 02:44 PM
# Population Percent
1 Atlantic_Baltic 47.23
2 Southern 30
3 Caucasus_Gedrosia 22.31

lemon
12-29-2015, 03:22 PM
1 Atlantic_Baltic 59
2 Caucasus_Gedrosia 19.38
3 Southern 18.81
4 Siberian 1.51
5 East_Asian 0.59
6 Australasian 0.4
7 Amerindian 0.21
8 African 0.09

Sikeliot
12-29-2015, 05:17 PM
# Population Percent
1 Atlantic_Baltic 55.85
2 Southern 27.62
3 Caucasus_Gedrosia 14.94
4 African 0.98
5 Amerindian 0.62

Single Population Sharing:

# Population (source) Distance
1 N_Italian (Dodecad) 1.76
2 North_Italian (HGDP) 2.05
3 Baleares (1000 Genomes) 6.36
4 TSI30 (Metspalu) 7.4
5 Bulgarians (Yunusbayev) 7.47
6 Murcia (1000 Genomes) 7.85
7 Andalucia (1000 Genomes) 7.91
8 Bulgarian (Dodecad) 7.98
9 Extremadura (1000 Genomes) 8.27
10 Tuscan (HGDP) 8.28
11 Portuguese (Dodecad) 9.06
12 Galicia (1000 Genomes) 9.12
13 Romanians (Behar) 9.55
14 Canarias (1000 Genomes) 9.6
15 Spaniards (Behar) 9.66
16 Castilla_La_Mancha (1000 Genomes) 9.78
17 Castilla_Y_Leon (1000 Genomes) 10.41
18 Valencia (1000 Genomes) 10.85
19 O_Italian (Dodecad) 11.11
20 Spanish (Dodecad) 11.15

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 97.9% N_Italian (Dodecad) + 2.1% Ethiopian_Jews (Behar) @ 0.68
2 97.9% N_Italian (Dodecad) + 2.1% Ethiopians (Behar) @ 0.68
3 98% N_Italian (Dodecad) + 2% Somali (Dodecad) @ 0.7
4 97% N_Italian (Dodecad) + 3% Moroccans (Behar) @ 0.76
5 66.5% French (Dodecad) + 33.5% Sephardic_Jews (Behar) @ 0.8
6 97% N_Italian (Dodecad) + 3% Mozabite @ 0.81
7 84.4% Spaniards (Behar) + 15.6% Georgians (Behar) @ 0.85
8 80.1% French (HGDP) + 19.9% Yemen_Jews (Behar) @ 0.86
9 95.8% N_Italian (Dodecad) + 4.2% Puerto_Rican @ 0.87
10 77.2% Cantabria (1000 Genomes) + 22.8% Armenians (Behar) @ 0.87
11 82.4% Spanish (Dodecad) + 17.6% Georgians (Behar) @ 0.87
12 67% French (HGDP) + 33% Morocco_Jews (Behar) @ 0.88
13 98.5% N_Italian (Dodecad) + 1.5% MKK30 (Dodecad) @ 0.89
14 85.1% Spaniards (Behar) + 14.9% Abhkasians (Yunusbayev) @ 0.9
15 85.8% Andalucia (1000 Genomes) + 14.2% Lezgins (Behar) @ 0.93
16 98.6% N_Italian (Dodecad) + 1.4% Sandawe_He @ 0.93
17 83.2% Spanish (Dodecad) + 16.8% Abhkasians (Yunusbayev) @ 0.95
18 94.5% N_Italian (Dodecad) + 5.5% PUR30 @ 0.96
19 67.1% French (Dodecad) + 32.9% Morocco_Jews (Behar) @ 0.97
20 97.4% N_Italian (Dodecad) + 2.6% Dominican @ 0.98

The_Lyonnist
02-19-2016, 08:00 PM
Admix Results (sorted):

# Population Percent (Average France)
1 Atlantic_Baltic 64.69 (69.70)
2 Southern 20.33 (19.50)
3 Caucasus_Gedrosia 13.44 (9.60)
4 Amerindian 1.38 (0.40)
5 Australasian 0.08 (0.10)
6 African 0.08 (0.00)

Single Population Sharing:

# Population (source) Distance
1 French (HGDP) 5.33
2 French (Dodecad) 5.8
3 Hungarians (Behar) 7.34
4 Cataluna (1000 Genomes) 7.49
5 Spaniards (Behar) 8.74
6 Valencia (1000 Genomes) 8.88
7 Baleares (1000 Genomes) 9.19
8 Spanish (Dodecad) 9.26
9 N_Italian (Dodecad) 9.68
10 Extremadura (1000 Genomes) 9.78
11 Galicia (1000 Genomes) 9.83
12 Cantabria (1000 Genomes) 9.97
13 Castilla_La_Mancha (1000 Genomes) 10.03
14 Andalucia (1000 Genomes) 10.46
15 Aragon (1000 Genomes) 10.5
16 Castilla_Y_Leon (1000 Genomes) 10.73
17 Portuguese (Dodecad) 10.74
18 North_Italian (HGDP) 10.79
19 Mixed_Germanic (Dodecad) 10.85
20 Bulgarians (Yunusbayev) 11.76

Amerijoe
02-19-2016, 08:42 PM
# Population Percent
1 Atlantic_Baltic 71.95
2 Caucasus_Gedrosia 13.07
3 Southern 12.74
4 South_Asian 1.28


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

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

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic @ 2.251929
2 Dutch @ 2.736390
3 German @ 3.452761
4 CEU30 @ 4.115630
5 Hungarians @ 4.468600
6 Cornwall @ 4.671905
7 Kent @ 4.773519
8 British @ 4.882708
9 British_Isles @ 5.946778
10 Argyll @ 6.190536
11 Ukranians @ 6.421338
12 Irish @ 6.598022
13 French @ 6.738451
14 Orcadian @ 6.867452
15 Orkney @ 7.362993
16 French @ 7.984940
17 Polish @ 8.121918
18 Belorussian @ 10.074663
19 Russian_B @ 11.094346
20 Norwegian @ 11.291637

Using 2 populations approximation:
1 50% CEU30 +50% Hungarians @ 0.717912


Using 3 populations approximation:
1 50% Orkney +25% Orkney +25% Bulgarians @ 0.648901


Using 4 populations approximation:
1 Romanians + Orkney + Orkney + Orkney @ 0.507233
2 Lithuanian + Tuscan + Orkney + Argyll @ 0.574977
3 Lithuanian + TSI30 + Orkney + Argyll @ 0.574977
4 Lithuanian + Orcadian + Tuscan + Argyll @ 0.575378
5 Lithuanian + Orcadian + TSI30 + Argyll @ 0.575378
6 Irish + Lithuanian + TSI30 + Argyll @ 0.600203
7 Norwegian + Romanians + Orkney + Kent @ 0.642522
8 Orkney + Orkney + Orkney + Bulgarians @ 0.648901
9 Orcadian + Orkney + Orkney + Bulgarians @ 0.649301
10 Orcadian + Orcadian + Orkney + Bulgarians @ 0.649702
11 Irish + Irish + Lithuanian + TSI30 @ 0.650027
12 Orcadian + Orcadian + Orcadian + Bulgarians @ 0.650103
13 Irish + Romanians + Orkney + Orkney @ 0.651886
14 Norwegian + British_Isles + Orcadian + Romanians @ 0.652202
15 Lithuanian + Orcadian + Orcadian + Tuscan @ 0.654932
16 Lithuanian + Orcadian + Tuscan + Orkney @ 0.656522
17 Irish + Norwegian + Romanians + Kent @ 0.663685
18 Orcadian + Romanians + Orkney + Orkney @ 0.669669
19 Irish + Norwegian + British_Isles + Romanians @ 0.672356
20 Lithuanian + Orcadian + Orcadian + TSI30 @ 0.673256

jortita
04-14-2016, 07:27 AM
FTDNA

Admix Results (sorted):

# Population Percent
1 South_Asian 43.2
2 Caucasus_Gedrosia 25.2
3 East_Asian 14.46
4 Atlantic_Baltic 7.68
5 Siberian 5.61
6 Australasian 1.78
7 Southern 1.74
8 Amerindian 0.3
9 African 0.02

Single Population Sharing:

# Population (source) Distance
1 Cochin_Jews (Behar) 17.85
2 Brahmins_from_Uttar_Pradesh (Metspalu) 17.85
3 Kshatriya (Metspalu) 18.23
4 Indian (Dodecad) 18.4
5 Tharus (Metspalu) 19.52
6 Brahmins_from_Tamil_Nadu (Metspalu) 20.06
7 Muslim (Metspalu) 20.6
8 Dharkars (Metspalu) 21.29
9 GIH30 (Dodecad) 21.38
10 INS30 (SGVP) 21.59
11 Burusho (HGDP) 22.02
12 Bnei_Menashe_Jews 23.3
13 Kanjars (Metspalu) 23.41
14 Uttar_Pradesh_Scheduled_Caste (Metspalu) 24.07
15 Kol (Metspalu) 24.16
16 Dusadh (Metspalu) 24.64
17 Sindhi (HGDP) 24.95
18 Velamas (Metspalu) 25.01
19 Tamil_Nadu_Scheduled_Caste (Metspalu) 25.49
20 Gond (Metspalu) 25.56

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 80% Kshatriya (Metspalu) + 20% Naga (Metspalu) @ 3.06
2 80.5% Kshatriya (Metspalu) + 19.5% JPT30 (Behar) @ 3.24
3 80.4% Kshatriya (Metspalu) + 19.6% Japanese (Dodecad) @ 3.25
4 80.7% Kshatriya (Metspalu) + 19.3% Korean (Dodecad) @ 3.32
5 79.1% Kshatriya (Metspalu) + 20.9% Tu (HGDP) @ 3.34
6 80.5% Kshatriya (Metspalu) + 19.5% Naxi (HGDP) @ 3.43
7 80.7% Kshatriya (Metspalu) + 19.3% Yizu (HGDP) @ 3.5
8 76.8% Brahmins_from_Uttar_Pradesh (Metspalu) + 23.2% Garo (Chaubey) @ 3.73
9 78.9% Kshatriya (Metspalu) + 21.1% Xibo (HGDP) @ 3.91
10 75.6% Kshatriya (Metspalu) + 24.4% Burmanese (Chaubey) @ 3.93
11 76.5% Kshatriya (Metspalu) + 23.5% Garo (Chaubey) @ 3.95
12 77.7% Tharus (Metspalu) + 22.3% Xibo (HGDP) @ 4.01
13 78% Tharus (Metspalu) + 22% Tu (HGDP) @ 4.12
14 76% Brahmins_from_Uttar_Pradesh (Metspalu) + 24% Burmanese (Chaubey) @ 4.12
15 81.7% Kshatriya (Metspalu) + 18.3% CHB30 (Metspalu) @ 4.16
16 81.8% Kshatriya (Metspalu) + 18.2% Chinese (Dodecad) @ 4.19
17 80.5% Brahmins_from_Uttar_Pradesh (Metspalu) + 19.5% Naga (Metspalu) @ 4.22
18 60.7% Dusadh (Metspalu) + 39.3% Uygur (HGDP) @ 4.24
19 61.3% Burusho (HGDP) + 38.7% Juang (Chaubey) @ 4.27
20 69.7% Brahmins_from_Uttar_Pradesh (Metspalu) + 30.3% Khasi (Chaubey) @ 4.33

dp
06-29-2016, 02:47 PM
Yesterday I found a post of Tolan (http://www.anthrogenica.com/showthread.php?4753-Post-your-best-matches-with-ancient-genomes&p=91876&viewfull=1#post91876) where two HarappaWorld components were being compared graphically. I decided to do something like that in World9 for my family.
This is what I've come up with:
http://www.anthrogenica.com/attachment.php?attachmentid=9995&d=1467210963
I am DP. (... reminds me of Star Trek. I am Borg.)

applicable D-stats:


Pop1Pop2OutgroupD-stat (sister 1)Z (sister 1)D-stat (sister 2)Z (sister 2)
SouthernAmerindianAfrican-0.04479-17.5-0.04389-18.11
SouthernAtlantic_BalticAfrican -0.04636-22.19-0.04948-24.42
SouthernAustralasianAfrican-0.02091-7.44-0.02149-7.92
SouthernCaucasus_GedrosiaAfrican-0.04018-19.73-0.04233-20.4
SouthernEast_AsianAfrican-0.02441-10.17-0.02262-10.6
SouthernSiberian African-0.03328-13.47-0.0328-14.79
SouthernSouth_AsianAfrican-0.01882-8.94-0.01949-9.67

Pop1 chosen so that in all cases abs(Z)>3.
Note that sister 1 is more drifted towards Southern (& Caucasus_Gedrosia) than sister 2. (I'll skip posting with Pop1 as Amerindian) but the later sister is more drifted towards Amerindian (& Siberian)




Apparently I've never posted my World9 results. These are Oracle4 run's (sorted by fit) for me and my closest relatives. Each kit has its own color to distinguish it from the others, and was used throughout the runs. The runs are for the Gaussian method, using defaults, and were generated by Admix4 (http://bga101.blogspot.com/2014/07/model-yourself-as-mixture-of-ancient.html). [That Big Red 4 lies like a tantalizing cartouche begging to be read on my toolbar (thanks to khanabadoshi for renewing my interest into such utils)]
5729573057315732
The Oracle runs seems to be a bit more realistic, or closer to my preconceived countries of origin, than the run on GEDmatch. I attribute this to the difference in thresholds.
dp :-)
PS: I was surprised at the relative clustering of results by kit when sorted by fit. The kits were from Ancestry, FamilyTreeDNA and 23andme. I do not notice any particular closeness by company to fit.
PPS: check out: http://www.anthrogenica.com/showthread.php?4879-Tutorial-%96-How-to-use-calculator-files-and-oracle-data-sheets&p=95003&viewfull=1#post95003
To compare with my Eurogenes K13 Oracles (generated as above) click here (http://www.anthrogenica.com/showthread.php?3539-Eurogenes-K13-Results&p=105770&viewfull=1#post105770)

Magnetic
06-29-2016, 04:50 PM
what does the "southern" component mean ? what does it represent and among which bros does it peak ?

Magnetic
06-29-2016, 05:23 PM
thanks for the answer :D

however . here my results

Admix Results (sorted):

# Population Percent
1 Caucasus_Gedrosia 46.85
2 Southern 32.04
3 Atlantic_Baltic 12.94
4 South_Asian 4.14
5 East_Asian 1.39
6 Amerindian 1.04
7 African 0.95
8 Siberian 0.64

Single Population Sharing:

# Population (source) Distance
1 Armenians (Behar) 5.88
2 Kurd (Dodecad) 5.91
3 Kurds (Yunusbayev) 6.06
4 Uzbekistan_Jews 6.57
5 Iranians (Behar) 6.83
6 Iranian (Dodecad) 7.2
7 Armenian (Dodecad) 7.35
8 Armenians (Yunusbayev) 7.36
9 Turks (Behar) 7.44
10 Azerbaijan_Jews 9.85
11 Georgians (Behar) 10.14
12 Assyrian (Dodecad) 10.57
13 Turkish (Dodecad) 10.59
14 Abhkasians (Yunusbayev) 11.96
15 Georgia_Jews (Behar) 12.06
16 Iranian_Jews (Behar) 14.01
17 Kumyks (Yunusbayev) 14.07
18 North_Ossetians (Yunusbayev) 14.78
19 Iraq_Jews (Behar) 14.88
20 Syrians (Behar) 15.11

firemonkey
06-29-2016, 05:54 PM
FTDNA

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 73.95
2 Southern 11.9
3 Caucasus_Gedrosia 11.31
4 Amerindian 1.32
5 South_Asian 1.07
6 Siberian 0.44
7 African 0.01

Single Population Sharing:

# Population (source) Distance
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

Mixed Mode Population Sharing:

# 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


23andMe


Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 73.98
2 Southern 11.83
3 Caucasus_Gedrosia 11.18
4 Amerindian 1.26
5 South_Asian 0.81
6 Siberian 0.46
7 African 0.35
8 Australasian 0.13

Single Population Sharing:

# Population (source) Distance
1 German (Dodecad) 1.56
2 CEU30 (1000Genomes) 1.57
3 Dutch (Dodecad) 1.68
4 Mixed_Germanic (Dodecad) 1.89
5 Cornwall (1000 Genomes) 2.03
6 Kent (1000 Genomes) 2.11
7 British (Dodecad) 2.18
8 British_Isles (Dodecad) 2.98
9 Argyll (1000 Genomes) 3.79
10 Irish (Dodecad) 3.81
11 Orcadian (HGDP) 3.93
12 Orkney (1000 Genomes) 4.32
13 Polish (Dodecad) 6.12
14 Ukranians (Yunusbayev) 6.2
15 Hungarians (Behar) 6.56
16 French (HGDP) 7.66
17 Belorussian (Behar) 8.01
18 Norwegian (Dodecad) 8.02
19 Swedish (Dodecad) 8.42
20 French (Dodecad) 8.47

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 96.6% CEU30 (1000Genomes) + 3.4% CLM30 @ 0.54
2 97.3% CEU30 (1000Genomes) + 2.7% Colombian @ 0.61
3 97.7% CEU30 (1000Genomes) + 2.3% MEX30 @ 0.62
4 98% CEU30 (1000Genomes) + 2% Ecuadorian @ 0.67
5 85.9% Argyll (1000 Genomes) + 14.1% Brazilian (Dodecad) @ 0.78
6 98.7% CEU30 (1000Genomes) + 1.3% PEL30 @ 0.79
7 96.9% German (Dodecad) + 3.1% CLM30 @ 0.79
8 95.3% Orcadian (HGDP) + 4.7% Bedouin (HGDP) @ 0.79
9 98.5% CEU30 (1000Genomes) + 1.5% Athabask @ 0.8
10 96.4% CEU30 (1000Genomes) + 3.6% PUR30 @ 0.81
11 94.4% CEU30 (1000Genomes) + 5.6% Brazilian (Dodecad) @ 0.82
12 95.5% Orcadian (HGDP) + 4.5% Saudis (Behar) @ 0.82
13 98.9% CEU30 (1000Genomes) + 1.1% Maya @ 0.83
14 97.5% German (Dodecad) + 2.5% Colombian @ 0.83
15 98.9% CEU30 (1000Genomes) + 1.1% Pima @ 0.85
16 98.9% CEU30 (1000Genomes) + 1.1% Colombians @ 0.85
17 99% CEU30 (1000Genomes) + 1% Karitiana @ 0.86
18 99% CEU30 (1000Genomes) + 1% Surui @ 0.86
19 95.7% Orcadian (HGDP) + 4.3% Yemen_Jews (Behar) @ 0.87
20 96.6% German (Dodecad) + 3.4% PUR30 @ 0.88

XooR
06-29-2016, 06:14 PM
Me
Admix Results (sorted):

# Population Percent
1 Caucasus_Gedrosia 50.39
2 Southern 35.31
3 Atlantic_Baltic 14.15
4 East_Asian 0.15

Single Population Sharing:

# Population (source) Distance
1 Armenian (Dodecad) 3.79
2 Armenians (Yunusbayev) 3.86
3 Armenians (Behar) 4.64

Mom
# Population Percent
1 Caucasus_Gedrosia 50.06
2 Southern 36.08
3 Atlantic_Baltic 13.72
4 Australasian 0.15

Single Population Sharing:

# Population (source) Distance
1 Armenian (Dodecad) 3
2 Armenians (Yunusbayev) 3.24
3 Uzbekistan_Jews 5.06

Father
# Population Percent
1 Caucasus_Gedrosia 51.39
2 Southern 34.91
3 Atlantic_Baltic 13.23
4 East_Asian 0.46

Single Population Sharing:

# Population (source) Distance
1 Armenians (Yunusbayev) 3.49
2 Armenian (Dodecad) 3.76
3 Armenians (Behar) 5.62

dp
06-29-2016, 07:55 PM
what does the "southern" component mean ? what does it represent and among which bros does it peak ?
Here is a sorted graph, so you can see what populations have the most Southern:
9996

Also the last half of this post gives an analysis of the World9 components WRT each other:
http://dienekes.blogspot.com/2012/08/inter-relationships-of-dodecad-k12b-and.html
dp :-)

Magnetic
06-29-2016, 08:11 PM
thank you very much :)

Dorkymon
06-29-2016, 08:37 PM
# Population Percent
1 Atlantic_Baltic 59.11
2 Caucasus_Gedrosia 19.04
3 Southern 17.13
4 Siberian 3.22
5 East_Asian 0.89
6 Australasian 0.61

Single Population Sharing:

# Population (source) Distance
1 Bulgarians (Yunusbayev) 7.31
2 Bulgarian (Dodecad) 8.31
3 Romanians (Behar) 8.87
4 Hungarians (Behar) 9.68
5 N_Italian (Dodecad) 10.84
6 French (HGDP) 12.23
7 North_Italian (HGDP) 12.6
8 French (Dodecad) 13.26
9 Baleares (1000 Genomes) 13.97
10 Cataluna (1000 Genomes) 14.77
11 Spaniards (Behar) 15.1
12 Extremadura (1000 Genomes) 15.14
13 Mixed_Germanic (Dodecad) 15.32
14 Andalucia (1000 Genomes) 15.59
15 Galicia (1000 Genomes) 15.62
16 Valencia (1000 Genomes) 15.69
17 Dutch (Dodecad) 15.97
18 Spanish (Dodecad) 16.05
19 Castilla_La_Mancha (1000 Genomes) 16.06
20 Ukranians (Yunusbayev) 16.12

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 74.4% Bulgarians (Yunusbayev) + 25.6% Russian (HGDP) @ 0.89
2 54.8% Russian (Dodecad) + 45.2% Greek (Dodecad) @ 0.9
3 71.8% Bulgarian (Dodecad) + 28.2% Russian (HGDP) @ 0.9
4 72.2% Bulgarians (Yunusbayev) + 27.8% Mordovians (Yunusbayev) @ 0.94
5 54.5% Russian_B (Behar) + 45.5% Greek (Dodecad) @ 1.02
6 59.6% Russian_B (Behar) + 40.4% S_Italian (Dodecad) @ 1.14
7 59.9% Russian (Dodecad) + 40.1% S_Italian (Dodecad) @ 1.14
8 59.3% Russian (Dodecad) + 40.7% S_Italian_Sicilian (Dodecad) @ 1.15
9 71.2% Bulgarian (Dodecad) + 28.8% Russian (Dodecad) @ 1.17
10 58.4% Russian_B (Behar) + 41.6% Ashkenazy_Jews @ 1.17
11 76.5% Bulgarian (Dodecad) + 23.5% FIN30 (1000Genomes) @ 1.22
12 59.1% Russian_B (Behar) + 40.9% S_Italian_Sicilian (Dodecad) @ 1.22
13 69.6% Bulgarian (Dodecad) + 30.4% Mordovians (Yunusbayev) @ 1.25
14 76.8% Bulgarian (Dodecad) + 23.2% Finnish (Dodecad) @ 1.27
15 59.7% Russian_B (Behar) + 40.3% Ashkenazi (Dodecad) @ 1.28
16 58.6% Russian (Dodecad) + 41.4% Ashkenazy_Jews @ 1.31
17 73.9% Bulgarians (Yunusbayev) + 26.1% Russian (Dodecad) @ 1.33
18 60% Russian (Dodecad) + 40% Ashkenazi (Dodecad) @ 1.37
19 75.4% Russian_B (Behar) + 24.6% Samaritians (Behar) @ 1.38
20 64.8% Russian_B (Behar) + 35.2% Sephardic_Jews (Behar) @ 1.39

Hanna
06-29-2016, 09:02 PM
Me

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


Using 1 population approximation:
1 Armenians @ 4.586259
2 Turks @ 5.264636
3 Armenian @ 8.838160
4 Armenians @ 9.140386
5 Turkish @ 9.358273

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

My maternal aunt:

1 Caucasus_Gedrosia 49.48
2 Southern 35.55
3 Atlantic_Baltic 12.09
4 South_Asian 1.10

Using 1 population approximation:
1 Armenian @ 2.681699
2 Armenians @ 2.787392
3 Uzbekistan_Jews @ 3.926684
4 Azerbaijan_Jews @ 6.492454
5 Kurds @ 6.508332

Using 2 populations approximation:
1 50% Georgia_Jews +50% Georgians @ 1.379775


Using 3 populations approximation:
1 50% Assyrian +25% Assyrian +25% Chechens @ 0.000000

laulei
06-30-2016, 06:53 PM
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 71.68
2 Southern 14.48
3 Caucasus_Gedrosia 11.35
4 South_Asian 0.92
5 Amerindian 0.84
6 Siberian 0.48
7 Australasian 0.24

Single Population Sharing:

# Population (source) Distance
1 Mixed_Germanic (Dodecad) 2.5
2 Dutch (Dodecad) 3.7
3 German (Dodecad) 4.17
4 Cornwall (1000 Genomes) 4.42
5 French (HGDP) 4.44
6 CEU30 (1000Genomes) 4.44
7 Hungarians (Behar) 4.61
8 Kent (1000 Genomes) 4.62
9 British (Dodecad) 4.83
10 French (Dodecad) 5.42
11 British_Isles (Dodecad) 5.72
12 Argyll (1000 Genomes) 6.9
13 Irish (Dodecad) 6.91
14 Orcadian (HGDP) 7.02
15 Orkney (1000 Genomes) 7.35
16 Ukranians (Yunusbayev) 8.15
17 Polish (Dodecad) 9.13
18 Belorussian (Behar) 11.03
19 Norwegian (Dodecad) 11.09
20 Swedish (Dodecad) 11.57

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 93.4% British_Isles (Dodecad) + 6.6% Yemen_Jews (Behar) @ 0.66
2 93.2% British_Isles (Dodecad) + 6.8% Saudis (Behar) @ 0.73
3 89.9% British_Isles (Dodecad) + 10.1% Morocco_Jews (Behar) @ 0.73
4 81.4% CEU30 (1000Genomes) + 18.6% North_Italian (HGDP) @ 0.74
5 89.7% British_Isles (Dodecad) + 10.3% Sephardic_Jews (Behar) @ 0.75
6 88.1% British_Isles (Dodecad) + 11.9% Ashkenazi (Dodecad) @ 0.76
7 70.7% Argyll (1000 Genomes) + 29.3% Baleares (1000 Genomes) @ 0.77
8 73.4% Orcadian (HGDP) + 26.6% North_Italian (HGDP) @ 0.78
9 94.9% Cornwall (1000 Genomes) + 5.1% Yemen_Jews (Behar) @ 0.78
10 94.7% Cornwall (1000 Genomes) + 5.3% Saudis (Behar) @ 0.79
11 71.3% Orkney (1000 Genomes) + 28.7% N_Italian (Dodecad) @ 0.79
12 82.7% British_Isles (Dodecad) + 17.3% Tuscan (HGDP) @ 0.79
13 85.1% British_Isles (Dodecad) + 14.9% C_Italian (Dodecad) @ 0.8
14 87.8% British_Isles (Dodecad) + 12.2% Sicilian (Dodecad) @ 0.8
15 87.7% British_Isles (Dodecad) + 12.3% Ashkenazy_Jews @ 0.81
16 82.2% British_Isles (Dodecad) + 17.8% TSI30 (Metspalu) @ 0.82
17 80.2% German (Dodecad) + 19.8% Baleares (1000 Genomes) @ 0.82
18 72.3% Orcadian (HGDP) + 27.7% N_Italian (Dodecad) @ 0.83
19 91.7% Orkney (1000 Genomes) + 8.3% Yemen_Jews (Behar) @ 0.83
20 80.6% CEU30 (1000Genomes) + 19.4% N_Italian (Dodecad) @ 0.83

Mestace
06-30-2016, 08:20 PM
Yesterday I found a post of Tolan (http://www.anthrogenica.com/showthread.php?4753-Post-your-best-matches-with-ancient-genomes&p=91876&viewfull=1#post91876) where two HarappaWorld components were being compared graphically. I decided to do something like that in World9 for my family.


Very nice, this old calculator still holds its own. I used your pca if you don't mind

https://i.imgsafe.org/57e248c494.jpg

This was our results

Mine
1 Atlantic_Baltic 70.15
2 Southern 17.93
3 Caucasus_Gedrosia 11.26
4 Siberian 0.66


1 French (HGDP) 1.12
2 French (Dodecad) 2.3
3 Hungarians (Behar) 5.47
4 Mixed_Germanic (Dodecad) 5.77
5 Dutch (Dodecad) 7.08
6 Cornwall (1000 Genomes) 7.6
7 German (Dodecad) 7.6
8 Kent (1000 Genomes) 7.79
9 CEU30 (1000Genomes) 7.88
10 British (Dodecad) 8.08
11 Cataluna (1000 Genomes) 8.85
12 British_Isles (Dodecad) 8.9
13 Irish (Dodecad) 10.27
14 Argyll (1000 Genomes) 10.37
15 Orcadian (HGDP) 10.38
16 Cantabria (1000 Genomes) 10.5
17 Orkney (1000 Genomes) 10.63
18 Valencia (1000 Genomes) 10.75
19 Spanish (Dodecad) 11.01
20 Spaniards (Behar) 11.25



Using 2 populations approximation:
1 50% French +50% French @ 1.153789

Using 3 populations approximation:
1 50% Kent +25% Pais_Vasco +25% Bulgarians @ 0.576873

Using 4 populations approximation:
1 German + French_Basque + Kent + Bulgarians @ 0.473349


1 89.2% French (HGDP) + 10.8% Dutch (Dodecad) @ 0.72
2 94.5% French (HGDP) + 5.5% Belorussian (Behar) @ 0.72
3 96.1% French (HGDP) + 3.9% Lithuanians @ 0.73
4 90% French (HGDP) + 10% German (Dodecad) @ 0.73
5 87.2% French (HGDP) + 12.8% Mixed_Germanic (Dodecad) @ 0.73






Mother
1 Atlantic_Baltic 72.42
2 Southern 17.03
3 Caucasus_Gedrosia 10.37
4 Siberian 0.18


1 French (HGDP) 3.07
2 French (Dodecad) 3.51
3 Mixed_Germanic (Dodecad) 4.31
4 Dutch (Dodecad) 5.65
5 Cornwall (1000 Genomes) 5.66
6 Kent (1000 Genomes) 5.88
7 German (Dodecad) 6.06
8 CEU30 (1000Genomes) 6.17
9 British (Dodecad) 6.2
10 Hungarians (Behar) 6.44
11 British_Isles (Dodecad) 6.91
12 Irish (Dodecad) 8.41
13 Orcadian (HGDP) 8.47
14 Orkney (1000 Genomes) 8.66
15 Argyll (1000 Genomes) 8.68
16 Cataluna (1000 Genomes) 10.28
17 Ukranians (Yunusbayev) 10.63
18 Polish (Dodecad) 11.1
19 Pais_Vasco (1000 Genomes) 11.23
20 Cantabria (1000 Genomes) 11.51



Using 2 populations approximation:
1 50% French +50% Mixed_Germanic @ 1.280946

Using 3 populations approximation:
1 50% Mixed_Germanic +25% Mixed_Germanic +25% Cantabria @ 0.936057

Using 4 populations approximation:
1 Mixed_Germanic + French_Basque + North_Italian + Lithuanians @ 0.832278


1 63.1% French (Dodecad) + 36.9% Kent (1000 Genomes) @ 0.81
2 84.7% French (Dodecad) + 15.3% Lithuanians @ 0.91
3 71.8% French (Dodecad) + 28.2% Orkney (1000 Genomes) @ 0.94
4 71.4% French (Dodecad) + 28.6% Orcadian (HGDP) @ 0.99
5 78.6% French (Dodecad) + 21.4% Norwegian (Dodecad) @ 1.03







Father
1 Atlantic_Baltic 68.6
2 Southern 19.79
3 Caucasus_Gedrosia 11.19
4 East_Asian 0.23
5 Siberian 0.18
6 Amerindian 0.01


1 French (HGDP) 1.57
2 French (Dodecad) 1.84
3 Hungarians (Behar) 6.75
4 Cataluna (1000 Genomes) 6.85
5 Mixed_Germanic (Dodecad) 7.98
6 Valencia (1000 Genomes) 8.7
7 Cantabria (1000 Genomes) 8.77
8 Spanish (Dodecad) 9.01
9 Spaniards (Behar) 9.12
10 Dutch (Dodecad) 9.3
11 Aragon (1000 Genomes) 9.52
12 Cornwall (1000 Genomes) 9.8
13 German (Dodecad) 9.83
14 Kent (1000 Genomes) 10.02
15 CEU30 (1000Genomes) 10.1
16 British (Dodecad) 10.3
17 Castilla_La_Mancha (1000 Genomes) 10.52
18 Galicia (1000 Genomes) 10.59
19 Extremadura (1000 Genomes) 10.91
20 Baleares (1000 Genomes) 10.91


Using 2 populations approximation:
1 50% German +50% Baleares @ 1.112785

Using 3 populations approximation:
1 50% German +25% TSI30 +25% Pais_Vasco @ 0.508805

Using 4 populations approximation:
1 Bulgarian + French + French_Basque + Kent @ 0.501451


1 90.6% French (HGDP) + 9.4% North_Italian (HGDP) @ 0.64
2 88.6% French (HGDP) + 11.4% Baleares (1000 Genomes) @ 0.71
3 97.4% French (Dodecad) + 2.6% Georgians (Behar) @ 0.72
4 90.3% French (HGDP) + 9.7% N_Italian (Dodecad) @ 0.72
5 90.4% French (Dodecad) + 9.6% Bulgarians (Yunusbayev) @ 0.77

dp
06-30-2016, 08:49 PM
Sure thing. Looks like one of your parents had a touch of DNA that pulled you towards Hungarians but probably got washed out in their results by the copy that you didn't inherit.
I see French_D & French_Basque pop up a lot in calculators. I like that your results cluster within the circle of my maternal relatives.
A Bientot.
dp :-)


Very nice, this old calculator still holds its own. I used your pca if you don't mind

https://i.imgsafe.org/57e248c494.jpg

This was our results

Mine
1 Atlantic_Baltic 70.15
2 Southern 17.93
3 Caucasus_Gedrosia 11.26
4 Siberian 0.66


1 French (HGDP) 1.12
2 French (Dodecad) 2.3
3 Hungarians (Behar) 5.47
4 Mixed_Germanic (Dodecad) 5.77
5 Dutch (Dodecad) 7.08
6 Cornwall (1000 Genomes) 7.6
7 German (Dodecad) 7.6
8 Kent (1000 Genomes) 7.79
9 CEU30 (1000Genomes) 7.88
10 British (Dodecad) 8.08
11 Cataluna (1000 Genomes) 8.85
12 British_Isles (Dodecad) 8.9
13 Irish (Dodecad) 10.27
14 Argyll (1000 Genomes) 10.37
15 Orcadian (HGDP) 10.38
16 Cantabria (1000 Genomes) 10.5
17 Orkney (1000 Genomes) 10.63
18 Valencia (1000 Genomes) 10.75
19 Spanish (Dodecad) 11.01
20 Spaniards (Behar) 11.25



Using 2 populations approximation:
1 50% French +50% French @ 1.153789

Using 3 populations approximation:
1 50% Kent +25% Pais_Vasco +25% Bulgarians @ 0.576873

Using 4 populations approximation:
1 German + French_Basque + Kent + Bulgarians @ 0.473349


1 89.2% French (HGDP) + 10.8% Dutch (Dodecad) @ 0.72
2 94.5% French (HGDP) + 5.5% Belorussian (Behar) @ 0.72
3 96.1% French (HGDP) + 3.9% Lithuanians @ 0.73
4 90% French (HGDP) + 10% German (Dodecad) @ 0.73
5 87.2% French (HGDP) + 12.8% Mixed_Germanic (Dodecad) @ 0.73






Mother
1 Atlantic_Baltic 72.42
2 Southern 17.03
3 Caucasus_Gedrosia 10.37
4 Siberian 0.18


1 French (HGDP) 3.07
2 French (Dodecad) 3.51
3 Mixed_Germanic (Dodecad) 4.31
4 Dutch (Dodecad) 5.65
5 Cornwall (1000 Genomes) 5.66
6 Kent (1000 Genomes) 5.88
7 German (Dodecad) 6.06
8 CEU30 (1000Genomes) 6.17
9 British (Dodecad) 6.2
10 Hungarians (Behar) 6.44
11 British_Isles (Dodecad) 6.91
12 Irish (Dodecad) 8.41
13 Orcadian (HGDP) 8.47
14 Orkney (1000 Genomes) 8.66
15 Argyll (1000 Genomes) 8.68
16 Cataluna (1000 Genomes) 10.28
17 Ukranians (Yunusbayev) 10.63
18 Polish (Dodecad) 11.1
19 Pais_Vasco (1000 Genomes) 11.23
20 Cantabria (1000 Genomes) 11.51



Using 2 populations approximation:
1 50% French +50% Mixed_Germanic @ 1.280946

Using 3 populations approximation:
1 50% Mixed_Germanic +25% Mixed_Germanic +25% Cantabria @ 0.936057

Using 4 populations approximation:
1 Mixed_Germanic + French_Basque + North_Italian + Lithuanians @ 0.832278


1 63.1% French (Dodecad) + 36.9% Kent (1000 Genomes) @ 0.81
2 84.7% French (Dodecad) + 15.3% Lithuanians @ 0.91
3 71.8% French (Dodecad) + 28.2% Orkney (1000 Genomes) @ 0.94
4 71.4% French (Dodecad) + 28.6% Orcadian (HGDP) @ 0.99
5 78.6% French (Dodecad) + 21.4% Norwegian (Dodecad) @ 1.03







Father
1 Atlantic_Baltic 68.6
2 Southern 19.79
3 Caucasus_Gedrosia 11.19
4 East_Asian 0.23
5 Siberian 0.18
6 Amerindian 0.01


1 French (HGDP) 1.57
2 French (Dodecad) 1.84
3 Hungarians (Behar) 6.75
4 Cataluna (1000 Genomes) 6.85
5 Mixed_Germanic (Dodecad) 7.98
6 Valencia (1000 Genomes) 8.7
7 Cantabria (1000 Genomes) 8.77
8 Spanish (Dodecad) 9.01
9 Spaniards (Behar) 9.12
10 Dutch (Dodecad) 9.3
11 Aragon (1000 Genomes) 9.52
12 Cornwall (1000 Genomes) 9.8
13 German (Dodecad) 9.83
14 Kent (1000 Genomes) 10.02
15 CEU30 (1000Genomes) 10.1
16 British (Dodecad) 10.3
17 Castilla_La_Mancha (1000 Genomes) 10.52
18 Galicia (1000 Genomes) 10.59
19 Extremadura (1000 Genomes) 10.91
20 Baleares (1000 Genomes) 10.91


Using 2 populations approximation:
1 50% German +50% Baleares @ 1.112785

Using 3 populations approximation:
1 50% German +25% TSI30 +25% Pais_Vasco @ 0.508805

Using 4 populations approximation:
1 Bulgarian + French + French_Basque + Kent @ 0.501451


1 90.6% French (HGDP) + 9.4% North_Italian (HGDP) @ 0.64
2 88.6% French (HGDP) + 11.4% Baleares (1000 Genomes) @ 0.71
3 97.4% French (Dodecad) + 2.6% Georgians (Behar) @ 0.72
4 90.3% French (HGDP) + 9.7% N_Italian (Dodecad) @ 0.72
5 90.4% French (Dodecad) + 9.6% Bulgarians (Yunusbayev) @ 0.77

Mestace
06-30-2016, 08:52 PM
Sure thing. Looks like one of your parents had a touch of DNA that pulled you towards Hungarians but probably got washed out in their results by the copy that you didn't inherit.
I see French_D & French_Basque pop up a lot in calculators. I like that your results cluster within the circle of my maternal relatives.
A Bientot.
dp :-)

What are their main ancestry by curiosity ?

dp
06-30-2016, 09:05 PM
Only thing I'm sure of is that their father belongs to U152-L2, and I notice that you too are in a branch of U152. I haven't refined further. Their maternal cousin only has 1 STR match and that's a 25-2 (no 37s), which I think I figured, if a valid (nonconvergent) match is over 700 years to MRCA.
Many in the area claim Norman ancestry within the Eure-Loire (sp) department, because they suspect that's where the Eure surname derived. I'm more skeptical because it can be derived from ear(funny)p, definition is something to do with water and from there you can get Ebor(acum) like in York England, Iber(ian) like in the Peninsula, and Ure like the river in Yorkshire.
dp :-)

L1983
06-30-2016, 09:40 PM
1 Atlantic_Baltic 68.98
2 Caucasus_Gedrosia 14.86
3 Southern 13.51
4 South_Asian 1.2
5 Amerindian 1.12
6 Siberian 0.32

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 1.72
2 Mixed_Germanic (Dodecad) 5.14
3 Dutch (Dodecad) 5.62
4 French (HGDP) 6.14
5 German (Dodecad) 6.2
6 CEU30 (1000Genomes) 6.91
7 Cornwall (1000 Genomes) 7.36
8 Kent (1000 Genomes) 7.44
9 Ukranians (Yunusbayev) 7.47
10 French (Dodecad) 7.53
11 British (Dodecad) 7.59
12 British_Isles (Dodecad) 8.53
13 Argyll (1000 Genomes) 8.58
14 Irish (Dodecad) 9.03
15 Orcadian (HGDP) 9.3
16 Orkney (1000 Genomes) 9.78
17 Polish (Dodecad) 10.09
18 Belorussian (Behar) 11.78
19 Russian_B (Behar) 12.33
20 Russian (Dodecad) 12.58

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 88.6% Orcadian (HGDP) + 11.4% Iranian_Jews (Behar) @ 0.77
2 88.4% British_Isles (Dodecad) + 11.6% Kurd (Dodecad) @ 0.8
3 88.4% Orcadian (HGDP) + 11.6% Iraq_Jews (Behar) @ 0.82
4 88.3% Argyll (1000 Genomes) + 11.7% Druze (HGDP) @ 0.82
5 88.4% British_Isles (Dodecad) + 11.6% Kurds (Yunusbayev) @ 0.83
6 88% Orcadian (HGDP) + 12% Azerbaijan_Jews @ 0.84
7 88.1% Orkney (1000 Genomes) + 11.9% Iranian_Jews (Behar) @ 0.85
8 87.7% Orcadian (HGDP) + 12.3% Georgia_Jews (Behar) @ 0.86
9 89.6% Kent (1000 Genomes) + 10.4% Iranian (Dodecad) @ 0.86
10 87% Orkney (1000 Genomes) + 13% Uzbekistan_Jews @ 0.86
11 89.7% Cornwall (1000 Genomes) + 10.3% Iranian (Dodecad) @ 0.86
12 87.9% Orcadian (HGDP) + 12.1% Assyrian (Dodecad) @ 0.86
13 87.5% Orcadian (HGDP) + 12.5% Uzbekistan_Jews @ 0.87
14 87.4% Orkney (1000 Genomes) + 12.6% Azerbaijan_Jews @ 0.87
15 86.6% Argyll (1000 Genomes) + 13.4% Cypriots (Behar) @ 0.9
16 88.7% Irish (Dodecad) + 11.3% Iraq_Jews (Behar) @ 0.91
17 88% Irish (Dodecad) + 12% Georgia_Jews (Behar) @ 0.92
18 87.4% Orkney (1000 Genomes) + 12.6% Assyrian (Dodecad) @ 0.93
19 67% Irish (Dodecad) + 33% Romanians (Behar) @ 0.93
20 89.8% Kent (1000 Genomes) + 10.2% Kurd (Dodecad) @ 0.94

dp
07-01-2016, 07:36 PM
Mestace adding his kits to the PCA I posted earlier this week, gave me the idea of expanding the PCA for more general use. As I followed the axis that groups were clustering around (Irish-Italy), an intersecting axis emerged. I followed either axis to a minimum of 9% Southern (on a W Europe plot), and 9% Atlantic_Baltic (on a N & E Med plot). Between the two plots the groups not depicted --WRT most AG users (as far as I know)-- were from Scandinavia, East Europe, Far East, India, and African populations. In the interest of readability some populations were omitted ([url=http://www.anthrogenica.com/attachment.php?attachmentid=10090&d=1467401314).
If others would like to add their kits, as small colored dots (with brief labels that are no larger than pop labels) feel free. [You'll have to save the plots on your computer (ie download), then bring the plot in Paint (or similar graphic editor) so you can make additions.] For the benefit of the next poster to add to the chart, please do not (terribly) overwrite the population labels or obscure the black square blocks denoting the percentages of the populations. Then upload the revised chart like in a Pass-It-A-Long chain.
http://www.anthrogenica.com/attachment.php?attachmentid=10092&d=1467401333
http://www.anthrogenica.com/attachment.php?attachmentid=10091&d=1467401326
Kurd-Y is obscured by the Southern axis label.
Have a Good Holiday.
dp :-)
PS: Read-up on clines (http://www.pnas.org/content/98/1/22.full)?

tippy
07-01-2016, 07:38 PM
1 Atlantic_Baltic 68.98
2 Caucasus_Gedrosia 14.86
3 Southern 13.51
4 South_Asian 1.2
5 Amerindian 1.12
6 Siberian 0.32

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 1.72
2 Mixed_Germanic (Dodecad) 5.14
3 Dutch (Dodecad) 5.62
4 French (HGDP) 6.14
5 German (Dodecad) 6.2
6 CEU30 (1000Genomes) 6.91
7 Cornwall (1000 Genomes) 7.36
8 Kent (1000 Genomes) 7.44
9 Ukranians (Yunusbayev) 7.47
10 French (Dodecad) 7.53
11 British (Dodecad) 7.59
12 British_Isles (Dodecad) 8.53
13 Argyll (1000 Genomes) 8.58
14 Irish (Dodecad) 9.03
15 Orcadian (HGDP) 9.3
16 Orkney (1000 Genomes) 9.78
17 Polish (Dodecad) 10.09
18 Belorussian (Behar) 11.78
19 Russian_B (Behar) 12.33
20 Russian (Dodecad) 12.58

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 88.6% Orcadian (HGDP) + 11.4% Iranian_Jews (Behar) @ 0.77
2 88.4% British_Isles (Dodecad) + 11.6% Kurd (Dodecad) @ 0.8
3 88.4% Orcadian (HGDP) + 11.6% Iraq_Jews (Behar) @ 0.82
4 88.3% Argyll (1000 Genomes) + 11.7% Druze (HGDP) @ 0.82
5 88.4% British_Isles (Dodecad) + 11.6% Kurds (Yunusbayev) @ 0.83
6 88% Orcadian (HGDP) + 12% Azerbaijan_Jews @ 0.84
7 88.1% Orkney (1000 Genomes) + 11.9% Iranian_Jews (Behar) @ 0.85
8 87.7% Orcadian (HGDP) + 12.3% Georgia_Jews (Behar) @ 0.86
9 89.6% Kent (1000 Genomes) + 10.4% Iranian (Dodecad) @ 0.86
10 87% Orkney (1000 Genomes) + 13% Uzbekistan_Jews @ 0.86
11 89.7% Cornwall (1000 Genomes) + 10.3% Iranian (Dodecad) @ 0.86
12 87.9% Orcadian (HGDP) + 12.1% Assyrian (Dodecad) @ 0.86
13 87.5% Orcadian (HGDP) + 12.5% Uzbekistan_Jews @ 0.87
14 87.4% Orkney (1000 Genomes) + 12.6% Azerbaijan_Jews @ 0.87
15 86.6% Argyll (1000 Genomes) + 13.4% Cypriots (Behar) @ 0.9
16 88.7% Irish (Dodecad) + 11.3% Iraq_Jews (Behar) @ 0.91
17 88% Irish (Dodecad) + 12% Georgia_Jews (Behar) @ 0.92
18 87.4% Orkney (1000 Genomes) + 12.6% Assyrian (Dodecad) @ 0.93
19 67% Irish (Dodecad) + 33% Romanians (Behar) @ 0.93
20 89.8% Kent (1000 Genomes) + 10.2% Kurd (Dodecad) @ 0.94


Interesting results. If you dont mind me asking do you have known mixed ancestry? Maybe 1/8th romani or something?

L1983
07-02-2016, 05:39 AM
Interesting results. If you dont mind me asking do you have known mixed ancestry? Maybe 1/8th romani or something?

I must admit my results do puzzle me. However, nothing was picked up by 23andme. Dna land and wegene are another story, but I'm not sure how accurate they are. Only found English and Irish in my tree so far.

loisrp
07-02-2016, 05:48 AM
I don't give the calculator that much credence, but all those 12% figures suggest a great-grandparent.

L1983
07-02-2016, 06:01 AM
I don't give the calculator that much credence, but all those 12% figures suggest a great-grandparent.

Looking at other results I get, I'm inclined to agree. I don't know my paternal grandfather's paternal line or maternal g grandfather's line, although I suspect it's my mother's maternal line where anything would pop up. My maternal great nan looked quite Romani in some pictures and in others people have asked if she's Greek. Trouble is paper trail doesn't suggest this at all, unless I've gone completely wrong somewhere. :)

basmaci
07-02-2016, 12:19 PM
N. Western Turkey
# Population Percent
1 Caucasus_Gedrosia 33.38
2 Southern 25.8
3 Atlantic_Baltic 25.74
4 Siberian 5.21
5 East_Asian 4.79
6 South_Asian 2.34
7 Amerindian 1.88
8 Australasian 0.81
9 African 0.05

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 51.2% Turkmens (Yunusbayev) + 48.8% 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

dp
07-05-2016, 05:05 PM
For the benefit of members that have South Asian I have made a plot of World9 categories Caucasus_Gedroisa v South Asian.
10179
dp

dp
07-05-2016, 05:21 PM
Some World9 D-stats of some of my family:
10180
Please note that if Z <= -3 the population in column 2 is significant with regard to the population in column 1.
Thus my family are mainly Atlantic-Baltic. Analysis of that component's drift is significantly towards Southern [Z is well near enough to abs(3)]. Looking at the Z's of the other components WRT Southern shows that it is (for us) a mixed back of significant components (all Z scores > 3), but the ones with the largest Z score, besides Atlantic-Baltic, is Caucasus-Gedrosia. Analysis of that later component just indicates that we have significant Atlantic_Baltic & Southern admix.
Thanks to Dienekenes for making the D-stat analysis R util.
dp :-)

dp
07-05-2016, 07:00 PM
http://www.anthrogenica.com/attachment.php?attachmentid=10191&d=1467744798
click save as so you can enlarge on your side. -dp

For the benefit of members that have South Asian I have made a plot of World9 categories Caucasus_Gedroisa v South Asian.
10179
dp

dp
07-26-2016, 04:41 PM
World9 posted labels are prefixed by @. I added a few of my family prefixed by &.


--[dendrogram w/ 2 branches and 305 members at h = 141]
|--[dendrogram w/ 2 branches and 20 members at h = 36.2]
| |--[dendrogram w/ 2 branches and 2 members at h = 5.5]
| | |--leaf "MKK30"
| | `--leaf "Sandawe_He"
| `--[dendrogram w/ 2 branches and 18 members at h = 23]
| |--[dendrogram w/ 2 branches and 14 members at h = 9.58]
| | |--[dendrogram w/ 2 branches and 11 members at h = 1.74]
| | | |--[dendrogram w/ 2 branches and 6 members at h = 0.922]
| | | | |--[dendrogram w/ 2 branches and 4 members at h = 0]
| | | | | |--leaf "Mbuti_Pygmies"
| | | | | `--[dendrogram w/ 2 branches and 3 members at h = 0]
| | | | | |--leaf "Biaka_Pygmies"
| | | | | `--[dendrogram w/ 2 branches and 2 members at h = 0]
| | | | | |--leaf "Bantu_S.E._Pedi"
| | | | | `--leaf "Bantu_S.E._S.Sotho"
| | | | `--[dendrogram w/ 2 branches and 2 members at h = 0.3]
| | | | |--leaf "Bantu_S.E._Tswana"
| | | | `--leaf "Yoruba"
| | | `--[dendrogram w/ 2 branches and 5 members at h = 1.49]
| | | |--leaf "San"
| | | `--[dendrogram w/ 2 branches and 4 members at h = 0.768]
| | | |--leaf "Bantu_S.W._Herero"
| | | `--[dendrogram w/ 2 branches and 3 members at h = 0.574]
| | | |--leaf "Bantu_S.E._Zulu"
| | | `--[dendrogram w/ 2 branches and 2 members at h = 0.224]
| | | |--leaf "Bantu_S.W._Ovambo"
| | | `--leaf "YRI30"
| | `--[dendrogram w/ 2 branches and 3 members at h = 4.48]
| | |--leaf "Mandenka"
| | `--[dendrogram w/ 2 branches and 2 members at h = 1.49]
| | |--leaf "Bantu_N.E."
| | `--leaf "LWK30"
| `--[dendrogram w/ 2 branches and 4 members at h = 14.8]
| |--leaf "Hadza_He"
| `--[dendrogram w/ 2 branches and 3 members at h = 9.64]
| |--leaf "ASW30"
| `--[dendrogram w/ 2 branches and 2 members at h = 4.32]
| |--leaf "ACB30"
| `--leaf "San_He"
`--[dendrogram w/ 2 branches and 285 members at h = 140]
|--[dendrogram w/ 2 branches and 11 members at h = 86.1]
| |--[dendrogram w/ 2 branches and 6 members at h = 24.4]
| | |--leaf "PEL30"
| | `--[dendrogram w/ 2 branches and 5 members at h = 10.7]
| | |--leaf "Maya"
| | `--[dendrogram w/ 2 branches and 4 members at h = 3.48]
| | |--[dendrogram w/ 2 branches and 2 members at h = 0]
| | | |--leaf "Karitiana"
| | | `--leaf "Surui"
| | `--[dendrogram w/ 2 branches and 2 members at h = 1.99]
| | |--leaf "Colombians"
| | `--leaf "Pima"
| `--[dendrogram w/ 2 branches and 5 members at h = 54.4]
| |--[dendrogram w/ 2 branches and 2 members at h = 20.6]
| | |--leaf "EastGreenland"
| | `--leaf "WestGreenland"
| `--[dendrogram w/ 2 branches and 3 members at h = 36.1]
| |--leaf "Athabask"
| `--[dendrogram w/ 2 branches and 2 members at h = 10.1]
| |--leaf "Ecuadorian"
| `--leaf "MEX30"
`--[dendrogram w/ 2 branches and 274 members at h = 137]
|--[dendrogram w/ 2 branches and 2 members at h = 27.9]
| |--leaf "NAN_Melanesian"
| `--leaf "Papuan"
`--[dendrogram w/ 2 branches and 272 members at h = 129]
|--[dendrogram w/ 2 branches and 27 members at h = 56.2]
| |--[dendrogram w/ 2 branches and 2 members at h = 10.8]
| | |--leaf "Khasi_Ch"
| | `--leaf "PANIYA"
| `--[dendrogram w/ 2 branches and 25 members at h = 37.6]
| |--[dendrogram w/ 2 branches and 10 members at h = 13.5]
| | |--[dendrogram w/ 2 branches and 6 members at h = 5.52]
| | | |--[dendrogram w/ 2 branches and 3 members at h = 0.4]
| | | | |--leaf "Han"
| | | | `--[dendrogram w/ 2 branches and 2 members at h = 0.173]
| | | | |--leaf "Tujia"
| | | | `--leaf "CHD30"
| | | `--[dendrogram w/ 2 branches and 3 members at h = 1.93]
| | | |--leaf "Miaozu"
| | | `--[dendrogram w/ 2 branches and 2 members at h = 0.707]
| | | |--leaf "She"
| | | `--leaf "CHS30"
| | `--[dendrogram w/ 2 branches and 4 members at h = 7.02]
| | |--leaf "Lahu"
| | `--[dendrogram w/ 2 branches and 3 members at h = 3.53]
| | |--leaf "KHV30"
| | `--[dendrogram w/ 2 branches and 2 members at h = 0.283]
| | |--leaf "Dai"
| | `--leaf "CDX30"
| `--[dendrogram w/ 2 branches and 15 members at h = 29.4]
| |--[dendrogram w/ 2 branches and 4 members at h = 20.4]
| | |--[dendrogram w/ 2 branches and 2 members at h = 3.94]
| | | |--leaf "MAS30"
| | | `--leaf "Cambodians"
| | `--[dendrogram w/ 2 branches and 2 members at h = 5.33]
| | |--leaf "Burmanese_Ch"
| | `--leaf "Garo_Ch"
| `--[dendrogram w/ 2 branches and 11 members at h = 20.6]
| |--[dendrogram w/ 2 branches and 6 members at h = 8.78]
| | |--leaf "Tu"
| | `--[dendrogram w/ 2 branches and 5 members at h = 3.62]
| | |--leaf "Naga_M"
| | `--[dendrogram w/ 2 branches and 4 members at h = 3.4]
| | |--leaf "Korean_D"
| | `--[dendrogram w/ 2 branches and 3 members at h = 1.21]
| | |--leaf "Japanese_D"
| | `--[dendrogram w/ 2 branches and 2 members at h = 0.141]
| | |--leaf "Japanese"
| | `--leaf "JPT30"
| `--[dendrogram w/ 2 branches and 5 members at h = 10.8]
| |--[dendrogram w/ 2 branches and 2 members at h = 1.44]
| | |--leaf "Yizu"
| | `--leaf "Naxi"
| `--[dendrogram w/ 2 branches and 3 members at h = 2.71]
| |--leaf "@william0509"
| `--[dendrogram w/ 2 branches and 2 members at h = 0.548]
| |--leaf "CHB30"
| `--leaf "Chinese_D"
`--[dendrogram w/ 2 branches and 245 members at h = 124]
|--[dendrogram w/ 2 branches and 57 members at h = 92.4]
| |--[dendrogram w/ 2 branches and 23 members at h = 40.5]
| | |--[dendrogram w/ 2 branches and 11 members at h = 19.1]
| | | |--[dendrogram w/ 2 branches and 5 members at h = 6.39]
| | | | |--[dendrogram w/ 2 branches and 2 members at h = 3.45]
| | | | | |--leaf "Santhal_Ch"
| | | | | `--leaf "ASUR_Ch"
| | | | `--[dendrogram w/ 2 branches and 3 members at h = 3.54]
| | | | |--leaf "Mawasi_Ch"
| | | | `--[dendrogram w/ 2 branches and 2 members at h = 1.72]
| | | | |--leaf "Bhunjia_M"
| | | | `--leaf "Dhurwa_M"
| | | `--[dendrogram w/ 2 branches and 6 members at h = 10.8]
| | | |--[dendrogram w/ 2 branches and 3 members at h = 2.7]
| | | | |--leaf "Ho_Ch"
| | | | `--[dendrogram w/ 2 branches and 2 members at h = 0.748]
| | | | |--leaf "Kharia_Ch"
| | | | `--leaf "Savara_Ch"
| | | `--[dendrogram w/ 2 branches and 3 members at h = 3.46]
| | | |--leaf "Gadaba_Ch"
| | | `--[dendrogram w/ 2 branches and 2 members at h = 0.64]
| | | |--leaf "BONDA_Ch"
| | | `--leaf "Juang_Ch"
| | `--[dendrogram w/ 2 branches and 12 members at h = 30.6]
| | |--[dendrogram w/ 2 branches and 4 members at h = 9.97]
| | | |--[dendrogram w/ 2 branches and 2 members at h = 0.1]
| | | | |--leaf "MALAYAN"
| | | | `--leaf "Malayan_Ch"
| | | `--[dendrogram w/ 2 branches and 2 members at h = 4.23]
| | | |--leaf "Paniya_Ch"
| | | `--leaf "Pulliyar_M"
| | `--[dendrogram w/ 2 branches and 8 members at h = 16.2]
| | |--[dendrogram w/ 2 branches and 2 members at h = 9.71]
| | | |--leaf "Nihali_M"
| | | `--leaf "Gond_M"
| | `--[dendrogram w/ 2 branches and 6 members at h = 14.7]
| | |--[dendrogram w/ 2 branches and 2 members at h = 0]
| | | |--leaf "SAKILLI"
| | | `--leaf "Sakilli_Ch"
| | `--[dendrogram w/ 2 branches and 4 members at h = 7.2]
| | |--leaf "Chenchus_M"
| | `--[dendrogram w/ 2 branches and 3 members at h = 3.44]
| | |--leaf "Hakkipikki_M"
| | `--[dendrogram w/ 2 branches and 2 members at h = 1.72]
| | |--leaf "Chamar_M"
| | `--leaf "North_Kannadi"
| `--[dendrogram w/ 2 branches and 34 members at h = 59.7]
| |--[dendrogram w/ 2 branches and 8 members at h = 23]
| | |--[dendrogram w/ 2 branches and 4 members at h = 18.6]
| | | |--leaf "Kalash"
| | | `--[dendrogram w/ 2 branches and 3 members at h = 6.92]
| | | |--leaf "Makrani"
| | | `--[dendrogram w/ 2 branches and 2 members at h = 2.41]
| | | |--leaf "Balochi"
| | | `--leaf "Brahui"
| | `--[dendrogram w/ 2 branches and 4 members at h = 20.3]
| | |--leaf "@Rukha"
| | `--[dendrogram w/ 2 branches and 3 members at h = 10.9]
| | |--leaf "Sindhi"
| | `--[dendrogram w/ 2 branches and 2 members at h = 7.91]
| | |--leaf "Burusho"
| | `--leaf "Pathan"
| `--[dendrogram w/ 2 branches and 26 members at h = 39.5]
| |--[dendrogram w/ 2 branches and 23 members at h = 24.3]
| | |--[dendrogram w/ 2 branches and 7 members at h = 12.5]
| | | |--leaf "Cochin_Jews"
| | | `--[dendrogram w/ 2 branches and 6 members at h = 10.6]
| | | |--[dendrogram w/ 2 branches and 2 members at h = 2.67]
| | | | |--leaf "GIH30"
| | | | `--leaf "Brahmins_from_Tamil_Nadu_M"
| | | `--[dendrogram w/ 2 branches and 4 members at h = 5.99]
| | | |--[dendrogram w/ 2 branches and 2 members at h = 2.69]
| | | | |--leaf "Meena_M"
| | | | `--leaf "Indian_D"
| | | `--[dendrogram w/ 2 branches and 2 members at h = 4.02]
| | | |--leaf "Brahmins_from_Uttar_Pradesh_M"
| | | `--leaf "Kshatriya_M"
| | `--[dendrogram w/ 2 branches and 16 members at h = 14.2]
| | |--[dendrogram w/ 2 branches and 7 members at h = 7.2]
| | | |--[dendrogram w/ 2 branches and 2 members at h = 2.55]
| | | | |--leaf "Kanjars_M"
| | | | `--leaf "Uttar_Pradesh_Scheduled_Caste_M"
| | | `--[dendrogram w/ 2 branches and 5 members at h = 5.1]
| | | |--[dendrogram w/ 2 branches and 2 members at h = 1.96]
| | | | |--leaf "Kol_M"
| | | | `--leaf "Dusadh_M"
| | | `--[dendrogram w/ 2 branches and 3 members at h = 4.01]
| | | |--leaf "Tamil_Nadu_Scheduled_Caste_M"
| | | `--[dendrogram w/ 2 branches and 2 members at h = 2.17]
| | | |--leaf "Kurumba_M"
| | | `--leaf "Piramalai_Kallars_M"
| | `--[dendrogram w/ 2 branches and 9 members at h = 9.68]
| | |--[dendrogram w/ 2 branches and 4 members at h = 5.43]
| | | |--leaf "Velamas_M"
| | | `--[dendrogram w/ 2 branches and 3 members at h = 2.85]
| | | |--leaf "INS30"
| | | `--[dendrogram w/ 2 branches and 2 members at h = 2.3]
| | | |--leaf "Meghawal_M"
| | | `--leaf "Kurmi_M"
| | `--[dendrogram w/ 2 branches and 5 members at h = 6]
| | |--[dendrogram w/ 2 branches and 2 members at h = 3.11]
| | | |--leaf "Bengali_M"
| | | `--leaf "Lambadi_M"
| | `--[dendrogram w/ 2 branches and 3 members at h = 4.63]
| | |--leaf "Tharus_M"
| | `--[dendrogram w/ 2 branches and 2 members at h = 1.38]
| | |--leaf "Muslim_M"
| | `--leaf "Dharkars_M"
| `--[dendrogram w/ 2 branches and 3 members at h = 29.3]
| |--leaf "Bnei_Menashe_Jews"
| `--[dendrogram w/ 2 branches and 2 members at h = 11.2]
| |--leaf "Brahmins_from_Uttaranchal_M"
| `--leaf "@jortita_(FT)"
`--[dendrogram w/ 2 branches and 188 members at h = 117]
|--[dendrogram w/ 2 branches and 21 members at h = 82]
| |--[dendrogram w/ 2 branches and 9 members at h = 37.1]
| | |--[dendrogram w/ 2 branches and 5 members at h = 25.6]
| | | |--leaf "Nganassan"
| | | `--[dendrogram w/ 2 branches and 4 members at h = 17.7]
| | | |--[dendrogram w/ 2 branches and 2 members at h = 4.79]
| | | | |--leaf "Yakut"
| | | | `--leaf "Evenk"
| | | `--[dendrogram w/ 2 branches and 2 members at h = 9.12]
| | | |--leaf "Yukagir"
| | | `--leaf "Dolgan"
| | `--[dendrogram w/ 2 branches and 4 members at h = 27.2]
| | |--[dendrogram w/ 2 branches and 2 members at h = 7.59]
| | | |--leaf "Ket"
| | | `--leaf "Selkup"
| | `--[dendrogram w/ 2 branches and 2 members at h = 12.5]
| | |--leaf "Chukchi"
| | `--leaf "Koryak"
| `--[dendrogram w/ 2 branches and 12 members at h = 55.5]
| |--[dendrogram w/ 2 branches and 3 members at h = 12.1]
| | |--leaf "Uzbeks"
| | `--[dendrogram w/ 2 branches and 2 members at h = 6.42]
| | |--leaf "Uygur"
| | `--leaf "Hazara"
| `--[dendrogram w/ 2 branches and 9 members at h = 43.5]
| |--[dendrogram w/ 2 branches and 4 members at h = 14.3]
| | |--[dendrogram w/ 2 branches and 2 members at h = 1.87]
| | | |--leaf "Hezhen"
| | | `--leaf "Daur"
| | `--[dendrogram w/ 2 branches and 2 members at h = 6.7]
| | |--leaf "Mongola"
| | `--leaf "Xibo"
| `--[dendrogram w/ 2 branches and 5 members at h = 27]
| |--leaf "Oroqen"
| `--[dendrogram w/ 2 branches and 4 members at h = 16.6]
| |--[dendrogram w/ 2 branches and 2 members at h = 5.33]
| | |--leaf "Tuva"
| | `--leaf "Buryat"
| `--[dendrogram w/ 2 branches and 2 members at h = 12.1]
| |--leaf "Altai"
| `--leaf "Mongol"
`--[dendrogram w/ 2 branches and 167 members at h = 108]
|--[dendrogram w/ 2 branches and 107 members at h = 63.7]
| |--[dendrogram w/ 2 branches and 90 members at h = 45.6]
| | |--[dendrogram w/ 2 branches and 3 members at h = 32.7]
| | | |--leaf "AthabaskHD4"
| | | `--[dendrogram w/ 2 branches and 2 members at h = 12.4]
| | | |--leaf "Aleut"
| | | `--leaf "Chuvashs"
| | `--[dendrogram w/ 2 branches and 87 members at h = 42.5]
| | |--[dendrogram w/ 2 branches and 26 members at h = 15.3]
| | | |--[dendrogram w/ 2 branches and 4 members at h = 8.86]
| | | | |--[dendrogram w/ 2 branches and 2 members at h = 0.742]
| | | | | |--leaf "Finnish_D"
| | | | | `--leaf "FIN30"
| | | | `--[dendrogram w/ 2 branches and 2 members at h = 0.964]
| | | | |--leaf "Lithuanian_D"
| | | | `--leaf "Lithuanians"
| | | `--[dendrogram w/ 2 branches and 22 members at h = 14.8]
| | | |--[dendrogram w/ 2 branches and 4 members at h = 6.47]
| | | | |--[dendrogram w/ 2 branches and 2 members at h = 1.71]
| | | | | |--leaf "Russian_B"
| | | | | `--leaf "Russian_D"
| | | | `--[dendrogram w/ 2 branches and 2 members at h = 3.57]
| | | | |--leaf "Russian"
| | | | `--leaf "Mordovians_Y"
| | | `--[dendrogram w/ 2 branches and 18 members at h = 9.58]
| | | |--[dendrogram w/ 2 branches and 2 members at h = 4.13]
| | | | |--leaf "Ukranians_Y"
| | | | `--leaf "@singingfalls_(FT)"
| | | `--[dendrogram w/ 2 branches and 16 members at h = 8.26]
| | | |--[dendrogram w/ 2 branches and 12 members at h = 3.69]
| | | | |--[dendrogram w/ 2 branches and 6 members at h = 2.4]
| | | | | |--[dendrogram w/ 2 branches and 2 members at h = 0.788]
| | | | | | |--leaf "British_Isles_D"
| | | | | | `--leaf "@Stephen1986"
| | | | | `--[dendrogram w/ 2 branches and 4 members at h = 1.17]
| | | | | |--leaf "CEU30"
| | | | | `--[dendrogram w/ 2 branches and 3 members at h = 0.762]
| | | | | |--leaf "British_D"
| | | | | `--[dendrogram w/ 2 branches and 2 members at h = 0.48]
| | | | | |--leaf "Kent_1KG"
| | | | | `--leaf "Cornwall_1KG"
| | | | `--[dendrogram w/ 2 branches and 6 members at h = 3.15]
| | | | |--leaf "@Salkin"
| | | | `--[dendrogram w/ 2 branches and 5 members at h = 2.05]
| | | | |--[dendrogram w/ 2 branches and 3 members at h = 1.06]
| | | | | |--leaf "Irish_D"
| | | | | `--[dendrogram w/ 2 branches and 2 members at h = 0.648]
| | | | | |--leaf "Orcadian"
| | | | | `--leaf "Orkney_1KG"
| | | | `--[dendrogram w/ 2 branches and 2 members at h = 1.45]
| | | | |--leaf "Argyll_1KG"
| | | | `--leaf "@CelticGerman"
| | | `--[dendrogram w/ 2 branches and 4 members at h = 5.1]
| | | |--[dendrogram w/ 2 branches and 2 members at h = 1.3]
| | | | |--leaf "Swedish_D"
| | | | `--leaf "Norwegian_D"
| | | `--[dendrogram w/ 2 branches and 2 members at h = 2.18]
| | | |--leaf "Belorussian"
| | | `--leaf "Polish_D"
| | `--[dendrogram w/ 2 branches and 61 members at h = 31]
| | |--[dendrogram w/ 2 branches and 19 members at h = 20.5]
| | | |--[dendrogram w/ 2 branches and 8 members at h = 10.7]
| | | | |--leaf "Brazilian_D"
| | | | `--[dendrogram w/ 2 branches and 7 members at h = 7.65]
| | | | |--[dendrogram w/ 2 branches and 2 members at h = 3.48]
| | | | | |--leaf "Murcia_1KG"
| | | | | `--leaf "Canarias_1KG"
| | | | `--[dendrogram w/ 2 branches and 5 members at h = 3.58]
| | | | |--leaf "Baleares_1KG"
| | | | `--[dendrogram w/ 2 branches and 4 members at h = 2.05]
| | | | |--leaf "Andalucia_1KG"
| | | | `--[dendrogram w/ 2 branches and 3 members at h = 1.43]
| | | | |--leaf "Galicia_1KG"
| | | | `--[dendrogram w/ 2 branches and 2 members at h = 1.2]
| | | | |--leaf "Extremadura_1KG"
| | | | `--leaf "Portuguese_D"
| | | `--[dendrogram w/ 2 branches and 11 members at h = 13.3]
| | | |--[dendrogram w/ 2 branches and 5 members at h = 4.76]
| | | | |--[dendrogram w/ 2 branches and 3 members at h = 2.11]
| | | | | |--leaf "North_Italian"
| | | | | `--[dendrogram w/ 2 branches and 2 members at h = 1.77]
| | | | | |--leaf "N_Italian_D"
| | | | | `--leaf "@Sikeliot"
| | | | `--[dendrogram w/ 2 branches and 2 members at h = 3.77]
| | | | |--leaf "@AJL"
| | | | `--leaf "@vettor"
| | | `--[dendrogram w/ 2 branches and 6 members at h = 9.79]
| | | |--[dendrogram w/ 2 branches and 2 members at h = 2.46]
| | | | |--leaf "@lemon"
| | | | `--leaf "@Dorkymon"
| | | `--[dendrogram w/ 2 branches and 4 members at h = 5.55]
| | | |--leaf "Romanians"
| | | `--[dendrogram w/ 2 branches and 3 members at h = 3.25]
| | | |--leaf "@Agamemnon"
| | | `--[dendrogram w/ 2 branches and 2 members at h = 1.39]
| | | |--leaf "Bulgarian_D"
| | | `--leaf "Bulgarians_Y"
| | `--[dendrogram w/ 2 branches and 42 members at h = 22.1]
| | |--[dendrogram w/ 2 branches and 10 members at h = 13.6]
| | | |--[dendrogram w/ 2 branches and 2 members at h = 0.387]
| | | | |--leaf "French_Basque"
| | | | `--leaf "Pais_Vasco_1KG"
| | | `--[dendrogram w/ 2 branches and 8 members at h = 4.77]
| | | |--[dendrogram w/ 2 branches and 5 members at h = 2.65]
| | | | |--[dendrogram w/ 2 branches and 2 members at h = 0.906]
| | | | | |--leaf "Castilla_La_Mancha_1KG"
| | | | | `--leaf "Castilla_Y_Leon_1KG"
| | | | `--[dendrogram w/ 2 branches and 3 members at h = 1.65]
| | | | |--leaf "Spaniards"
| | | | `--[dendrogram w/ 2 branches and 2 members at h = 0.548]
| | | | |--leaf "Spanish_D"
| | | | `--leaf "Valencia_1KG"
| | | `--[dendrogram w/ 2 branches and 3 members at h = 3.33]
| | | |--leaf "Cataluna_1KG"
| | | `--[dendrogram w/ 2 branches and 2 members at h = 1.29]
| | | |--leaf "Cantabria_1KG"
| | | `--leaf "Aragon_1KG"
| | `--[dendrogram w/ 2 branches and 32 members at h = 13.7]
| | |--[dendrogram w/ 2 branches and 19 members at h = 6.71]
| | | |--[dendrogram w/ 2 branches and 14 members at h = 4.28]
| | | | |--[dendrogram w/ 2 branches and 3 members at h = 1]
| | | | | |--leaf "@Gray_Fox"
| | | | | `--[dendrogram w/ 2 branches and 2 members at h = 0.848]
| | | | | |--leaf "@Gray_Fox_(23)"
| | | | | `--leaf "@Amerijoe"
| | | | `--[dendrogram w/ 2 branches and 11 members at h = 3.14]
| | | | |--[dendrogram w/ 2 branches and 6 members at h = 1.95]
| | | | | |--[dendrogram w/ 2 branches and 4 members at h = 1.4]
| | | | | | |--[dendrogram w/ 2 branches and 2 members at h = 0.814]
| | | | | | | |--leaf "German_D"
| | | | | | | `--leaf "@Jessie"
| | | | | | `--[dendrogram w/ 2 branches and 2 members at h = 0.904]
| | | | | | |--leaf "Dutch_D"
| | | | | | `--leaf "@MitchellSince1893"
| | | | | `--[dendrogram w/ 2 branches and 2 members at h = 1.49]
| | | | | |--leaf "@Jessie_(mom)"
| | | | | `--leaf "@firemonkey_(FT)"
| | | | `--[dendrogram w/ 2 branches and 5 members at h = 2.77]
| | | | |--[dendrogram w/ 2 branches and 3 members at h = 1.69]
| | | | | |--leaf "@Wulf_Warrior"
| | | | | `--[dendrogram w/ 2 branches and 2 members at h = 1.42]
| | | | | |--leaf "Mixed_Germanic_D"
| | | | | `--leaf "@rms2"
| | | | `--[dendrogram w/ 2 branches and 2 members at h = 2.11]
| | | | |--leaf "@Stephen1986_(Bro)"
| | | | `--leaf "@Leeroy_Jenkins"
| | | `--[dendrogram w/ 2 branches and 5 members at h = 4.58]
| | | |--leaf "@Alpine_Hominin"
| | | `--[dendrogram w/ 2 branches and 4 members at h = 3.12]
| | | |--[dendrogram w/ 2 branches and 2 members at h = 1.32]
| | | | |--leaf "@laulei"
| | | | `--leaf "&David_Powell"
| | | `--[dendrogram w/ 2 branches and 2 members at h = 2.33]
| | | |--leaf "@Mestace_(mom)"
| | | `--leaf "&David_Powell_(mom)"
| | `--[dendrogram w/ 2 branches and 13 members at h = 9.22]
| | |--[dendrogram w/ 2 branches and 7 members at h = 5.52]
| | | |--[dendrogram w/ 2 branches and 5 members at h = 2.53]
| | | | |--[dendrogram w/ 2 branches and 2 members at h = 0.523]
| | | | | |--leaf "@BalkanKiwi_(23)"
| | | | | `--leaf "@BalkanKiwi_(FT)"
| | | | `--[dendrogram w/ 2 branches and 3 members at h = 1.76]
| | | | |--leaf "@L1983"
| | | | `--[dendrogram w/ 2 branches and 2 members at h = 1.39]
| | | | |--leaf "Hungarians"
| | | | `--leaf "@Lirio100_(FT)"
| | | `--[dendrogram w/ 2 branches and 2 members at h = 3.27]
| | | |--leaf "@Táltos"
| | | `--leaf "@geebee"
| | `--[dendrogram w/ 2 branches and 6 members at h = 6.53]
| | |--leaf "@The_Lyonnist"
| | `--[dendrogram w/ 2 branches and 5 members at h = 4]
| | |--leaf "&David_Powell_(.Powell)"
| | `--[dendrogram w/ 2 branches and 4 members at h = 2.48]
| | |--[dendrogram w/ 2 branches and 2 members at h = 1.17]
| | | |--leaf "French"
| | | `--leaf "@Mestace"
| | `--[dendrogram w/ 2 branches and 2 members at h = 2.04]
| | |--leaf "French_D"
| | `--leaf "@Mestace_(dad)"
| `--[dendrogram w/ 2 branches and 17 members at h = 48.8]
| |--[dendrogram w/ 2 branches and 5 members at h = 23.3]
| | |--[dendrogram w/ 2 branches and 2 members at h = 10.2]
| | | |--leaf "Puerto_Rican"
| | | `--leaf "PUR30"
| | `--[dendrogram w/ 2 branches and 3 members at h = 13.7]
| | |--leaf "Colombian"
| | `--[dendrogram w/ 2 branches and 2 members at h = 8.82]
| | |--leaf "CLM30"
| | `--leaf "@crossover_(mGF)"
| `--[dendrogram w/ 2 branches and 12 members at h = 33.3]
| |--leaf "Sardinian"
| `--[dendrogram w/ 2 branches and 11 members at h = 18]
| |--[dendrogram w/ 2 branches and 4 members at h = 4.65]
| | |--[dendrogram w/ 2 branches and 2 members at h = 1.04]
| | | |--leaf "Tuscan"
| | | `--leaf "TSI30"
| | `--[dendrogram w/ 2 branches and 2 members at h = 2.67]
| | |--leaf "O_Italian_D"
| | `--leaf "@Star93"
| `--[dendrogram w/ 2 branches and 7 members at h = 10.8]
| |--[dendrogram w/ 2 branches and 5 members at h = 2.35]
| | |--[dendrogram w/ 2 branches and 2 members at h = 1.83]
| | | |--leaf "Ashkenazy_Jews"
| | | `--leaf "Sicilian_D"
| | `--[dendrogram w/ 2 branches and 3 members at h = 2]
| | |--leaf "Ashkenazi_D"
| | `--[dendrogram w/ 2 branches and 2 members at h = 1]
| | |--leaf "S_Italian_Sicilian_D"
| | `--leaf "S_Italian_D"
| `--[dendrogram w/ 2 branches and 2 members at h = 6.03]
| |--leaf "C_Italian_D"
| `--leaf "Greek_D"
`--[dendrogram w/ 2 branches and 60 members at h = 83.5]
|--[dendrogram w/ 2 branches and 7 members at h = 52.6]
| |--[dendrogram w/ 2 branches and 2 members at h = 17.4]
| | |--leaf "Dominican"
| | `--leaf "@cyna"
| `--[dendrogram w/ 2 branches and 5 members at h = 33.8]
| |--[dendrogram w/ 2 branches and 2 members at h = 3.26]
| | |--leaf "Moroccans"
| | `--leaf "Mozabite"
| `--[dendrogram w/ 2 branches and 3 members at h = 7.73]
| |--leaf "Somali_D"
| `--[dendrogram w/ 2 branches and 2 members at h = 2.8]
| |--leaf "Ethiopian_Jews"
| `--leaf "Ethiopians"
`--[dendrogram w/ 2 branches and 53 members at h = 60.9]
|--[dendrogram w/ 2 branches and 11 members at h = 25.3]
| |--[dendrogram w/ 2 branches and 2 members at h = 10.1]
| | |--leaf "Yemenese"
| | `--leaf "Egyptans"
| `--[dendrogram w/ 2 branches and 9 members at h = 23.2]
| |--[dendrogram w/ 2 branches and 5 members at h = 9.96]
| | |--[dendrogram w/ 2 branches and 2 members at h = 3.03]
| | | |--leaf "Jordanians"
| | | `--leaf "Palestinian"
| | `--[dendrogram w/ 2 branches and 3 members at h = 5.58]
| | |--leaf "Druze"
| | `--[dendrogram w/ 2 branches and 2 members at h = 3.46]
| | |--leaf "Lebanese"
| | `--leaf "Syrians"
| `--[dendrogram w/ 2 branches and 4 members at h = 13.8]
| |--leaf "Samaritians"
| `--[dendrogram w/ 2 branches and 3 members at h = 9.34]
| |--leaf "Yemen_Jews"
| `--[dendrogram w/ 2 branches and 2 members at h = 5.35]
| |--leaf "Bedouin"
| `--leaf "Saudis"
`--[dendrogram w/ 2 branches and 42 members at h = 44.1]
|--[dendrogram w/ 2 branches and 9 members at h = 26.5]
| |--[dendrogram w/ 2 branches and 3 members at h = 13.9]
| | |--leaf "Cypriots"
| | `--[dendrogram w/ 2 branches and 2 members at h = 3.7]
| | |--leaf "Morocco_Jews"
| | `--leaf "Sephardic_Jews"
| `--[dendrogram w/ 2 branches and 6 members at h = 18.7]
| |--[dendrogram w/ 2 branches and 3 members at h = 7.39]
| | |--leaf "@Asimakidis"
| | `--[dendrogram w/ 2 branches and 2 members at h = 4.93]
| | |--leaf "Turks"
| | `--leaf "Turkish_D"
| `--[dendrogram w/ 2 branches and 3 members at h = 12]
| |--leaf "@Asimakidis_(dad)"
| `--[dendrogram w/ 2 branches and 2 members at h = 3.16]
| |--leaf "@Arslan"
| `--leaf "@basmaci"
`--[dendrogram w/ 2 branches and 33 members at h = 42.2]
|--[dendrogram w/ 2 branches and 23 members at h = 22.1]
| |--[dendrogram w/ 2 branches and 8 members at h = 10.2]
| | |--[dendrogram w/ 2 branches and 5 members at h = 5.04]
| | | |--[dendrogram w/ 2 branches and 2 members at h = 1.28]
| | | | |--leaf "Azerbaijan_Jews"
| | | | `--leaf "Assyrian_D"
| | | `--[dendrogram w/ 2 branches and 3 members at h = 3.39]
| | | |--leaf "Uzbekistan_Jews"
| | | `--[dendrogram w/ 2 branches and 2 members at h = 1.18]
| | | |--leaf "Armenian_D"
| | | `--leaf "Armenians_Y"
| | `--[dendrogram w/ 2 branches and 3 members at h = 7.87]
| | |--leaf "Georgia_Jews"
| | `--[dendrogram w/ 2 branches and 2 members at h = 3.41]
| | |--leaf "Iranian_Jews"
| | `--leaf "Iraq_Jews"
| `--[dendrogram w/ 2 branches and 15 members at h = 20.1]
| |--leaf "@jesus"
| `--[dendrogram w/ 2 branches and 14 members at h = 13.7]
| |--[dendrogram w/ 2 branches and 2 members at h = 3.59]
| | |--leaf "Georgians"
| | `--leaf "Abhkasians_Y"
| `--[dendrogram w/ 2 branches and 12 members at h = 13.4]
| |--[dendrogram w/ 2 branches and 5 members at h = 6.57]
| | |--leaf "Iranians"
| | `--[dendrogram w/ 2 branches and 4 members at h = 5.95]
| | |--[dendrogram w/ 2 branches and 2 members at h = 1.27]
| | | |--leaf "Kurd_D"
| | | `--leaf "Kurds_Y"
| | `--[dendrogram w/ 2 branches and 2 members at h = 2.71]
| | |--leaf "Iranian_D"
| | `--leaf "@DMXX"
| `--[dendrogram w/ 2 branches and 7 members at h = 7.06]
| |--[dendrogram w/ 2 branches and 4 members at h = 2.6]
| | |--leaf "@Hanna_(mAunt)"
| | `--[dendrogram w/ 2 branches and 3 members at h = 1.9]
| | |--leaf "@XooR_(dad)"
| | `--[dendrogram w/ 2 branches and 2 members at h = 0.965]
| | |--leaf "@XooR"
| | `--leaf "@XooR_(mom)"
| `--[dendrogram w/ 2 branches and 3 members at h = 6.54]
| |--leaf "@Magnetic"
| `--[dendrogram w/ 2 branches and 2 members at h = 4.57]
| |--leaf "Armenians"
| `--leaf "@Hanna"
`--[dendrogram w/ 2 branches and 10 members at h = 25.1]
|--[dendrogram w/ 2 branches and 7 members at h = 9.21]
| |--[dendrogram w/ 2 branches and 4 members at h = 3.7]
| | |--leaf "North_Ossetians_Y"
| | `--[dendrogram w/ 2 branches and 3 members at h = 3.14]
| | |--leaf "Adygei"
| | `--[dendrogram w/ 2 branches and 2 members at h = 2.09]
| | |--leaf "Kumyks_Y"
| | `--leaf "Balkars_Y"
| `--[dendrogram w/ 2 branches and 3 members at h = 6.89]
| |--leaf "@Tag_Heuer"
| `--[dendrogram w/ 2 branches and 2 members at h = 3.99]
| |--leaf "Lezgins"
| `--leaf "Chechens_Y"
`--[dendrogram w/ 2 branches and 3 members at h = 16.9]
|--leaf "Nogais_Y"
`--[dendrogram w/ 2 branches and 2 members at h = 10.9]
|--leaf "Tajiks_Y"
`--leaf "Turkmens_Y"

(FT)=FamilyTreeDNA, (23)=23andme

cvolt
07-29-2016, 09:49 PM
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 73.57
2 Southern 13
3 Caucasus_Gedrosia 10.09
4 Siberian 2.01
5 Australasian 0.47
6 South_Asian 0.4
7 Amerindian 0.3
8 African 0.17

Single Population Sharing:

# Population (source) Distance
1 Mixed_Germanic (Dodecad) 2.44
2 Cornwall (1000 Genomes) 2.91
3 CEU30 (1000Genomes) 2.97
4 Kent (1000 Genomes) 2.99
5 British (Dodecad) 3.01
6 Dutch (Dodecad) 3.03
7 German (Dodecad) 3.06
8 British_Isles (Dodecad) 3.81
9 Irish (Dodecad) 5.12
10 Orcadian (HGDP) 5.19
11 Argyll (1000 Genomes) 5.29
12 Orkney (1000 Genomes) 5.34
13 Hungarians (Behar) 6.49
14 French (HGDP) 6.67
15 Ukranians (Yunusbayev) 7.27
16 French (Dodecad) 7.38
17 Polish (Dodecad) 7.38
18 Norwegian (Dodecad) 8.67
19 Belorussian (Behar) 9.18
20 Swedish (Dodecad) 9.24

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 65.7% Ukranians (Yunusbayev) + 34.3% Pais_Vasco (1000 Genomes) @ 0.69
2 66.2% Ukranians (Yunusbayev) + 33.8% French_Basque @ 0.7
3 79.3% Belorussian (Behar) + 20.7% Sardinian @ 0.78
4 63.7% Belorussian (Behar) + 36.3% Aragon (1000 Genomes) @ 0.81
5 62.4% Belorussian (Behar) + 37.6% Cantabria (1000 Genomes) @ 0.84
6 67.1% Swedish (Dodecad) + 32.9% Baleares (1000 Genomes) @ 0.88
7 71.5% Norwegian (Dodecad) + 28.5% North_Italian (HGDP) @ 1.03
8 63.7% Belorussian (Behar) + 36.3% Spanish (Dodecad) @ 1.04
9 69.4% French (HGDP) + 30.6% Finnish (Dodecad) @ 1.09
10 69% French (HGDP) + 31% FIN30 (1000Genomes) @ 1.12
11 63.5% Belorussian (Behar) + 36.5% Valencia (1000 Genomes) @ 1.14
12 66.6% Belorussian (Behar) + 33.4% Castilla_Y_Leon (1000 Genomes) @ 1.16
13 60.5% Belorussian (Behar) + 39.5% Cataluna (1000 Genomes) @ 1.17
14 56% Lithuanians + 44% Andalucia (1000 Genomes) @ 1.21
15 67.5% Polish (Dodecad) + 32.5% Cantabria (1000 Genomes) @ 1.21
16 67.7% Swedish (Dodecad) + 32.3% Andalucia (1000 Genomes) @ 1.21
17 68.8% Polish (Dodecad) + 31.2% Aragon (1000 Genomes) @ 1.21
18 58.3% French (HGDP) + 41.7% Swedish (Dodecad) @ 1.22
19 56.4% Lithuanian (Dodecad) + 43.6% Andalucia (1000 Genomes) @ 1.22
20 82.8% Polish (Dodecad) + 17.2% Sardinian @ 1.22

Stephen W
10-24-2016, 10:03 PM
Fascinating calculator, though I wish I understood exactly what Atlantic_Baltic means. There seems a common theme for individuals like me with primary British Isles ancestry

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 75.07
2 Caucasus_Gedrosia 11.43
3 Southern 10.47
4 South_Asian 1.67
5 Siberian 1.03
6 Amerindian 0.33

Single Population Sharing:

# Population (source) Distance
1 CEU30 (1000Genomes) 1.33
2 German (Dodecad) 1.71
3 British (Dodecad) 1.86
4 Dutch (Dodecad) 1.98
5 Kent (1000 Genomes) 2.15
6 Cornwall (1000 Genomes) 2.24
7 Argyll (1000 Genomes) 2.3
8 British_Isles (Dodecad) 2.31
9 Irish (Dodecad) 2.54
10 Orcadian (HGDP) 2.77
11 Mixed_Germanic (Dodecad) 3
12 Orkney (1000 Genomes) 3.1
13 Polish (Dodecad) 4.46
14 Ukranians (Yunusbayev) 5.22
15 Belorussian (Behar) 6.35
16 Norwegian (Dodecad) 6.55
17 Swedish (Dodecad) 6.83
18 Hungarians (Behar) 7.64
19 Russian_B (Behar) 8.12
20 Russian (Dodecad) 8.69

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 97% British_Isles (Dodecad) + 3% Burusho (HGDP) @ 0.73
2 91.6% CEU30 (1000Genomes) + 8.4% Mordovians (Yunusbayev) @ 0.78
3 88.9% CEU30 (1000Genomes) + 11.1% Russian (Dodecad) @ 0.79
4 97.4% British_Isles (Dodecad) + 2.6% Kalash @ 0.79
5 97% British_Isles (Dodecad) + 3% Pathan (HGDP) @ 0.81
6 95.4% Orkney (1000 Genomes) + 4.6% Turkmens (Yunusbayev) @ 0.83
7 97.3% British_Isles (Dodecad) + 2.7% Sindhi (HGDP) @ 0.86
8 89% CEU30 (1000Genomes) + 11% Russian_B (Behar) @ 0.89
9 96.5% British_Isles (Dodecad) + 3.5% Tajiks (Yunusbayev) @ 0.9
10 88% Dutch (Dodecad) + 12% FIN30 (1000Genomes) @ 0.9
11 88.3% Dutch (Dodecad) + 11.7% Finnish (Dodecad) @ 0.91
12 85.2% Cornwall (1000 Genomes) + 14.8% Mordovians (Yunusbayev) @ 0.91
13 84.5% CEU30 (1000Genomes) + 15.5% Ukranians (Yunusbayev) @ 0.95
14 89.4% Orkney (1000 Genomes) + 10.6% Romanians (Behar) @ 0.95
15 96.1% Orkney (1000 Genomes) + 3.9% Iranians (Behar) @ 0.95
16 97.4% British_Isles (Dodecad) + 2.6% Balochi (HGDP) @ 0.96
17 96.2% Orkney (1000 Genomes) + 3.8% Bnei_Menashe_Jews @ 0.97
18 96% Orkney (1000 Genomes) + 4% Iranian (Dodecad) @ 0.98
19 96.7% CEU30 (1000Genomes) + 3.3% Chuvashs (Behar) @ 0.98
20 97.5% British_Isles (Dodecad) + 2.5% Brahui (HGDP) @ 0.9

kevinduffy
10-25-2016, 10:33 PM
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 74.7
2 Caucasus_Gedrosia 12.34
3 Southern 11.13
4 Amerindian 0.61
5 South_Asian 0.61
6 Siberian 0.45
7 East_Asian 0.16

Single Population Sharing:

# Population (source) Distance
1 German (Dodecad) 0.56
2 Dutch (Dodecad) 0.89
3 CEU30 (1000Genomes) 1.37
4 Kent (1000 Genomes) 1.98
5 British (Dodecad) 2.05
6 Cornwall (1000 Genomes) 2.12
7 Mixed_Germanic (Dodecad) 2.14
8 Argyll (1000 Genomes) 2.72
9 British_Isles (Dodecad) 2.76
10 Irish (Dodecad) 3
11 Orcadian (HGDP) 3.3
12 Orkney (1000 Genomes) 3.76
13 Polish (Dodecad) 4.93
14 Ukranians (Yunusbayev) 5.13
15 Hungarians (Behar) 6.77
16 Belorussian (Behar) 6.9
17 Norwegian (Dodecad) 7.36
18 Swedish (Dodecad) 7.69
19 French (HGDP) 8.59
20 Russian_B (Behar) 8.68

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 88.8% Irish (Dodecad) + 11.2% Bulgarian (Dodecad) @ 0.16
2 88.3% Irish (Dodecad) + 11.7% Bulgarians (Yunusbayev) @ 0.19
3 89.1% Argyll (1000 Genomes) + 10.9% N_Italian (Dodecad) @ 0.25
4 95.9% Irish (Dodecad) + 4.1% Druze (HGDP) @ 0.25
5 69.4% Irish (Dodecad) + 30.6% Hungarians (Behar) @ 0.28
6 96% Irish (Dodecad) + 4% Georgia_Jews (Behar) @ 0.3
7 95.4% Irish (Dodecad) + 4.6% Cypriots (Behar) @ 0.31
8 89.6% Argyll (1000 Genomes) + 10.4% North_Italian (HGDP) @ 0.32
9 95.8% Irish (Dodecad) + 4.2% Lebanese (Behar) @ 0.32
10 95.9% Irish (Dodecad) + 4.1% Syrians (Behar) @ 0.32
11 96.3% Irish (Dodecad) + 3.7% Iraq_Jews (Behar) @ 0.33
12 91.7% Argyll (1000 Genomes) + 8.3% TSI30 (Metspalu) @ 0.34
13 91.9% Argyll (1000 Genomes) + 8.1% Tuscan (HGDP) @ 0.35
14 95% Orkney (1000 Genomes) + 5% Armenian (Dodecad) @ 0.36
15 93.1% Irish (Dodecad) + 6.9% Greek (Dodecad) @ 0.36
16 95% Orkney (1000 Genomes) + 5% Armenians (Yunusbayev) @ 0.37
17 94.4% Orkney (1000 Genomes) + 5.6% Armenians (Behar) @ 0.37
18 67.3% Orcadian (HGDP) + 32.7% Hungarians (Behar) @ 0.37
19 89.1% Irish (Dodecad) + 10.9% Romanians (Behar) @ 0.38
20 95.2% Orkney (1000 Genomes) + 4.8% Azerbaijan_Jews @ 0.39

Oracle-4:

Using 1 population approximation:
1 German @ 0.469000
2 Dutch @ 0.862548
3 CEU30 @ 1.441418
4 Kent @ 2.139004
5 British @ 2.220695
6 Mixed_Germanic @ 2.226536
7 Cornwall @ 2.301304
8 Argyll @ 2.959824
9 British_Isles @ 3.068120
10 Irish @ 3.316672
11 Orcadian @ 3.641100
12 Orkney @ 4.162029
13 Polish @ 5.240135
14 Ukranians @ 5.476733
15 Belorussian @ 7.304802
16 Hungarians @ 7.500965
17 Norwegian @ 8.056617
18 Swedish @ 8.348707
19 Russian_B @ 9.058753
20 French @ 9.186794

Using 2 populations approximation:
1 50% German +50% German @ 0.469000


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


Using 4 populations approximation:
1 British + Irish + Hungarians + Argyll @ 0.000000
2 British + Hungarians + Argyll + Argyll @ 0.000000
3 Irish + Irish + German + Hungarians @ 0.000000
4 Irish + Irish + CEU30 + Hungarians @ 0.000000
5 Irish + German + Orcadian + Hungarians @ 0.000000
6 Irish + German + Hungarians + Orkney @ 0.000000
7 Irish + British_Isles + Hungarians + Argyll @ 0.000000
8 Irish + Dutch + Hungarians + Orkney @ 0.000000
9 Irish + CEU30 + Hungarians + Argyll @ 0.000000
10 Irish + Hungarians + Kent + Argyll @ 0.000000
11 Irish + Hungarians + Cornwall + Argyll @ 0.000000
12 German + Orcadian + Orcadian + Hungarians @ 0.000000
13 German + Hungarians + Orkney + Argyll @ 0.000000
14 Dutch + Orcadian + Orcadian + Hungarians @ 0.000000
15 Dutch + Orcadian + Hungarians + Orkney @ 0.000000
16 Orcadian + CEU30 + Hungarians + Argyll @ 0.000000
17 Orcadian + Hungarians + Kent + Argyll @ 0.000000
18 CEU30 + Hungarians + Orkney + Argyll @ 0.000000
19 Hungarians + Kent + Argyll + Argyll @ 0.000000
20 Hungarians + Cornwall + Argyll + Argyll @ 0.000000

dp
10-28-2016, 07:01 PM
Fascinating calculator, though I wish I understood exactly what Atlantic_Baltic means. There seems a common theme for individuals like me with primary British Isles ancestry

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 75.07
2 Caucasus_Gedrosia 11.43
3 Southern 10.47
4 South_Asian 1.67
5 Siberian 1.03
6 Amerindian 0.33

Single Population Sharing:

# Population (source) Distance
1 CEU30 (1000Genomes) 1.33
2 German (Dodecad) 1.71
3 British (Dodecad) 1.86
4 Dutch (Dodecad) 1.98
5 Kent (1000 Genomes) 2.15
6 Cornwall (1000 Genomes) 2.24
7 Argyll (1000 Genomes) 2.3
8 British_Isles (Dodecad) 2.31
9 Irish (Dodecad) 2.54
10 Orcadian (HGDP) 2.77
11 Mixed_Germanic (Dodecad) 3
12 Orkney (1000 Genomes) 3.1
13 Polish (Dodecad) 4.46
14 Ukranians (Yunusbayev) 5.22
15 Belorussian (Behar) 6.35
16 Norwegian (Dodecad) 6.55
17 Swedish (Dodecad) 6.83
18 Hungarians (Behar) 7.64
19 Russian_B (Behar) 8.12
20 Russian (Dodecad) 8.69

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 97% British_Isles (Dodecad) + 3% Burusho (HGDP) @ 0.73
2 91.6% CEU30 (1000Genomes) + 8.4% Mordovians (Yunusbayev) @ 0.78
3 88.9% CEU30 (1000Genomes) + 11.1% Russian (Dodecad) @ 0.79
4 97.4% British_Isles (Dodecad) + 2.6% Kalash @ 0.79
5 97% British_Isles (Dodecad) + 3% Pathan (HGDP) @ 0.81
6 95.4% Orkney (1000 Genomes) + 4.6% Turkmens (Yunusbayev) @ 0.83
7 97.3% British_Isles (Dodecad) + 2.7% Sindhi (HGDP) @ 0.86
8 89% CEU30 (1000Genomes) + 11% Russian_B (Behar) @ 0.89
9 96.5% British_Isles (Dodecad) + 3.5% Tajiks (Yunusbayev) @ 0.9
10 88% Dutch (Dodecad) + 12% FIN30 (1000Genomes) @ 0.9
11 88.3% Dutch (Dodecad) + 11.7% Finnish (Dodecad) @ 0.91
12 85.2% Cornwall (1000 Genomes) + 14.8% Mordovians (Yunusbayev) @ 0.91
13 84.5% CEU30 (1000Genomes) + 15.5% Ukranians (Yunusbayev) @ 0.95
14 89.4% Orkney (1000 Genomes) + 10.6% Romanians (Behar) @ 0.95
15 96.1% Orkney (1000 Genomes) + 3.9% Iranians (Behar) @ 0.95
16 97.4% British_Isles (Dodecad) + 2.6% Balochi (HGDP) @ 0.96
17 96.2% Orkney (1000 Genomes) + 3.8% Bnei_Menashe_Jews @ 0.97
18 96% Orkney (1000 Genomes) + 4% Iranian (Dodecad) @ 0.98
19 96.7% CEU30 (1000Genomes) + 3.3% Chuvashs (Behar) @ 0.98
20 97.5% British_Isles (Dodecad) + 2.5% Brahui (HGDP) @ 0.9

sorted the spreadsheet for Atlantic-Baltic (results >75%)
12365
dp :-)

Bonacci
11-05-2016, 05:48 PM
Some individuals:

Iranian:
# Population Percent
1 Caucasus_Gedrosia 49.6
2 Southern 24.97
3 Atlantic_Baltic 9.87
4 South_Asian 9.67
5 Siberian 2.42
6 East_Asian 1.57
7 African 1.13
8 Amerindian 0.77

Single Population Sharing:

# Population (source) Distance
1 Iranian (Dodecad) 3.8
2 Iranians (Behar) 6.78
3 Kurd (Dodecad) 7.69
4 Kurds (Yunusbayev) 8.49
5 Georgians (Behar) 11.6
6 Abhkasians (Yunusbayev) 12.13
7 Turks (Behar) 13.27
8 Kumyks (Yunusbayev) 13.3
9 Turkmens (Yunusbayev) 13.66
10 North_Ossetians (Yunusbayev) 13.68
11 Armenians (Behar) 13.72
12 Uzbekistan_Jews 13.82
13 Armenians (Yunusbayev) 14.46
14 Armenian (Dodecad) 14.96
15 Balkars (Yunusbayev) 15.06
16 Adygei (HGDP) 15.26
17 Chechens (Yunusbayev) 16.29
18 Azerbaijan_Jews 16.71
19 Turkish (Dodecad) 16.96
20 Lezgins (Behar) 17.46

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 92.6% Iranian (Dodecad) + 7.4% Brahmins_from_Uttar_Pradesh (Metspalu) @ 1.31
2 92.9% Iranian (Dodecad) + 7.1% Kshatriya (Metspalu) @ 1.36
3 89.5% Iranian (Dodecad) + 10.5% Burusho (HGDP) @ 1.42
4 93.6% Iranian (Dodecad) + 6.4% Tharus (Metspalu) @ 1.43
5 92.7% Iranian (Dodecad) + 7.3% Indian (Dodecad) @ 1.44
6 93.9% Iranian (Dodecad) + 6.1% Muslim (Metspalu) @ 1.47
7 90% Iranian (Dodecad) + 10% Sindhi (HGDP) @ 1.48
8 94% Iranian (Dodecad) + 6% Dharkars (Metspalu) @ 1.5
9 94.2% Iranian (Dodecad) + 5.8% Kanjars (Metspalu) @ 1.53
10 93.1% Iranian (Dodecad) + 6.9% Brahmins_from_Tamil_Nadu (Metspalu) @ 1.53
11 93.4% Iranian (Dodecad) + 6.6% GIH30 (Dodecad) @ 1.55
12 88.6% Iranian (Dodecad) + 11.4% Pathan (HGDP) @ 1.56
13 94.4% Iranian (Dodecad) + 5.6% Uttar_Pradesh_Scheduled_Caste (Metspalu) @ 1.56
14 93.9% Iranian (Dodecad) + 6.1% INS30 (SGVP) @ 1.57
15 94.5% Iranian (Dodecad) + 5.5% Kol (Metspalu) @ 1.57
16 94.5% Iranian (Dodecad) + 5.5% Dusadh (Metspalu) @ 1.6
17 95% Iranian (Dodecad) + 5% Gond (Metspalu) @ 1.63
18 94.8% Iranian (Dodecad) + 5.2% Chenchus (Metspalu) @ 1.64
19 95.1% Iranian (Dodecad) + 4.9% Chamar (Metspalu) @ 1.64
20 94.6% Iranian (Dodecad) + 5.4% Kurumba (Metspalu) @ 1.67


Hungarian from Transylvania:

# Population Percent
1 Atlantic_Baltic 62.14
2 Caucasus_Gedrosia 16
3 Southern 14.8
4 Siberian 2.56
5 South_Asian 2.34
6 Amerindian 1.26
7 East_Asian 0.85
8 African 0.05

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 6.08
2 French (HGDP) 9.25
3 French (Dodecad) 10.4
4 Mixed_Germanic (Dodecad) 11.47
5 Bulgarians (Yunusbayev) 11.49
6 Dutch (Dodecad) 12.06
7 Romanians (Behar) 12.41
8 Ukranians (Yunusbayev) 12.42
9 Bulgarian (Dodecad) 12.55
10 German (Dodecad) 12.6
11 N_Italian (Dodecad) 13.16
12 CEU30 (1000Genomes) 13.18
13 Cataluna (1000 Genomes) 13.5
14 Cornwall (1000 Genomes) 13.67
15 Kent (1000 Genomes) 13.78
16 British (Dodecad) 13.85
17 Baleares (1000 Genomes) 14.5
18 Spaniards (Behar) 14.6
19 North_Italian (HGDP) 14.7
20 British_Isles (Dodecad) 14.8

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 65.4% Romanians (Behar) + 34.6% Finnish (Dodecad) @ 1.71
2 65% Romanians (Behar) + 35% FIN30 (1000Genomes) @ 1.77
3 61.1% Romanians (Behar) + 38.9% Swedish (Dodecad) @ 1.9
4 61% Romanians (Behar) + 39% Norwegian (Dodecad) @ 2.1
5 89.8% Hungarians (Behar) + 10.2% Turkmens (Yunusbayev) @ 2.16
6 81.6% Mixed_Germanic (Dodecad) + 18.4% Turkmens (Yunusbayev) @ 2.17
7 91.9% Hungarians (Behar) + 8.1% Bnei_Menashe_Jews @ 2.22
8 72.1% Russian_B (Behar) + 27.9% Morocco_Jews (Behar) @ 2.22
9 78.8% Cornwall (1000 Genomes) + 21.2% Turkmens (Yunusbayev) @ 2.25
10 57.5% Russian (Dodecad) + 42.5% O_Italian (Dodecad) @ 2.3
11 57.7% Romanians (Behar) + 42.3% Russian_B (Behar) @ 2.31
12 58.4% Romanians (Behar) + 41.6% Belorussian (Behar) @ 2.31
13 67.4% Russian_B (Behar) + 32.6% Ashkenazi (Dodecad) @ 2.32
14 60.5% Russian (Dodecad) + 39.5% C_Italian (Dodecad) @ 2.32
15 66.6% Russian_B (Behar) + 33.4% Sicilian (Dodecad) @ 2.34
16 60.3% Russian_B (Behar) + 39.7% C_Italian (Dodecad) @ 2.35
17 71.5% Russian_B (Behar) + 28.5% Sephardic_Jews (Behar) @ 2.35
18 56.4% Romanians (Behar) + 43.6% Polish (Dodecad) @ 2.36
19 81.6% Russian_B (Behar) + 18.4% Yemen_Jews (Behar) @ 2.37
20 66.2% Romanians (Behar) + 33.8% Lithuanian (Dodecad) @ 2.38


Syrian Jewish:
# Population Percent
1 Southern 44.94
2 Caucasus_Gedrosia 31.84
3 Atlantic_Baltic 20.65
4 African 1.61
5 East_Asian 0.75
6 Australasian 0.12
7 South_Asian 0.09

Single Population Sharing:

# Population (source) Distance
1 Cypriots (Behar) 3.28
2 Sephardic_Jews (Behar) 8.58
3 Lebanese (Behar) 9.7
4 Morocco_Jews (Behar) 9.88
5 Druze (HGDP) 11.48
6 Syrians (Behar) 12.21
7 Palestinian (HGDP) 13.52
8 Jordanians (Behar) 13.91
9 Turkish (Dodecad) 14.63
10 S_Italian (Dodecad) 15.12
11 Ashkenazi (Dodecad) 15.27
12 Georgia_Jews (Behar) 15.29
13 S_Italian_Sicilian (Dodecad) 15.93
14 Ashkenazy_Jews 16.64
15 Sicilian (Dodecad) 16.64
16 Turks (Behar) 17.68
17 Samaritians (Behar) 18.16
18 Armenians (Behar) 18.29
19 Uzbekistan_Jews 19.27
20 Assyrian (Dodecad) 19.28

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 57.3% Sephardic_Jews (Behar) + 42.7% Druze (HGDP) @ 0.72
2 92.7% Cypriots (Behar) + 7.3% Mozabite @ 1.04
3 60.8% Morocco_Jews (Behar) + 39.2% Georgia_Jews (Behar) @ 1.16
4 93% Cypriots (Behar) + 7% Moroccans (Behar) @ 1.21
5 78.5% Samaritians (Behar) + 21.5% Belorussian (Behar) @ 1.3
6 80.1% Samaritians (Behar) + 19.9% Lithuanians @ 1.31
7 77.1% Samaritians (Behar) + 22.9% Ukranians (Yunusbayev) @ 1.31
8 80.1% Samaritians (Behar) + 19.9% Lithuanian (Dodecad) @ 1.32
9 66.9% Morocco_Jews (Behar) + 33.1% Iraq_Jews (Behar) @ 1.34
10 78.5% Druze (HGDP) + 21.5% Sardinian @ 1.35
11 78.1% Samaritians (Behar) + 21.9% Polish (Dodecad) @ 1.4
12 67.1% Samaritians (Behar) + 32.9% Bulgarian (Dodecad) @ 1.42
13 78.4% Samaritians (Behar) + 21.6% Russian_B (Behar) @ 1.45
14 69.4% Morocco_Jews (Behar) + 30.6% Iranian_Jews (Behar) @ 1.46
15 67.8% Samaritians (Behar) + 32.2% Bulgarians (Yunusbayev) @ 1.5
16 67.1% Samaritians (Behar) + 32.9% Romanians (Behar) @ 1.54
17 70.1% Sephardic_Jews (Behar) + 29.9% Iraq_Jews (Behar) @ 1.56
18 66.3% Morocco_Jews (Behar) + 33.7% Assyrian (Dodecad) @ 1.57
19 74.9% Samaritians (Behar) + 25.1% Hungarians (Behar) @ 1.57
20 77.3% Cypriots (Behar) + 22.7% Morocco_Jews (Behar) @ 1.59


3/4 Ashkenazi 1/4 Sephardi Jewish:

# Population Percent
1 Southern 37.27
2 Atlantic_Baltic 34.88
3 Caucasus_Gedrosia 24.71
4 African 1.24
5 Amerindian 0.83
6 Siberian 0.77
7 East_Asian 0.29

Single Population Sharing:

# Population (source) Distance
1 Ashkenazy_Jews 1.29
2 S_Italian_Sicilian (Dodecad) 1.58
3 Ashkenazi (Dodecad) 1.64
4 Sicilian (Dodecad) 1.64
5 S_Italian (Dodecad) 1.81
6 Greek (Dodecad) 5.61
7 Sephardic_Jews (Behar) 8.46
8 C_Italian (Dodecad) 9.01
9 Morocco_Jews (Behar) 10.34
10 O_Italian (Dodecad) 11.7
11 Tuscan (HGDP) 14.56
12 TSI30 (Metspalu) 15.48
13 Cypriots (Behar) 17.3
14 Turkish (Dodecad) 18.97
15 Bulgarian (Dodecad) 21.51
16 Romanians (Behar) 21.71
17 Bulgarians (Yunusbayev) 22.55
18 North_Italian (HGDP) 23.28
19 Turks (Behar) 23.36
20 N_Italian (Dodecad) 23.63

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 98.2% S_Italian_Sicilian (Dodecad) + 1.8% EastGreenland @ 0.75
2 97.9% S_Italian_Sicilian (Dodecad) + 2.1% WestGreenland @ 0.82
3 97.5% S_Italian (Dodecad) + 2.5% WestGreenland @ 0.84
4 95.9% S_Italian (Dodecad) + 4.1% CLM30 @ 0.85
5 65.3% Bulgarian (Dodecad) + 34.7% Yemen_Jews (Behar) @ 0.85
6 98.4% S_Italian_Sicilian (Dodecad) + 1.6% Chukchi @ 0.9
7 95.2% S_Italian (Dodecad) + 4.8% PUR30 @ 0.91
8 98.5% S_Italian_Sicilian (Dodecad) + 1.5% Athabask @ 0.91
9 71.9% Sephardic_Jews (Behar) + 28.1% Bulgarian (Dodecad) @ 0.94
10 96.7% S_Italian (Dodecad) + 3.3% Colombian @ 0.94
11 85.6% Sephardic_Jews (Behar) + 14.4% Russian_B (Behar) @ 0.95
12 85.6% Sephardic_Jews (Behar) + 14.4% Russian (Dodecad) @ 0.98
13 96.2% Sicilian (Dodecad) + 3.8% Turkmens (Yunusbayev) @ 0.98
14 98.1% S_Italian (Dodecad) + 1.9% EastGreenland @ 1
15 98.5% S_Italian_Sicilian (Dodecad) + 1.5% Koryak @ 1.01
16 72.9% Sephardic_Jews (Behar) + 27.1% Bulgarians (Yunusbayev) @ 1.01
17 94.8% Sicilian (Dodecad) + 5.2% Turks (Behar) @ 1.02
18 84.4% Sephardic_Jews (Behar) + 15.6% Ukranians (Yunusbayev) @ 1.03
19 96.9% S_Italian (Dodecad) + 3.1% Aleut @ 1.04
20 97.5% S_Italian_Sicilian (Dodecad) + 2.5% Colombian @ 1.04


Greek from Peloponnese (Korinthos)

# Population Percent
1 Atlantic_Baltic 39.25
2 Southern 32.58
3 Caucasus_Gedrosia 26.17
4 East_Asian 0.87
5 Australasian 0.45
6 Siberian 0.32
7 South_Asian 0.19
8 African 0.17

Single Population Sharing:

# Population (source) Distance
1 Greek (Dodecad) 1.44
2 Ashkenazy_Jews 5.58
3 C_Italian (Dodecad) 5.89
4 S_Italian_Sicilian (Dodecad) 6.22
5 Sicilian (Dodecad) 6.49
6 S_Italian (Dodecad) 6.76
7 Ashkenazi (Dodecad) 7.23
8 O_Italian (Dodecad) 7.64
9 Tuscan (HGDP) 10.74
10 TSI30 (Metspalu) 11.62
11 Sephardic_Jews (Behar) 14.32
12 Bulgarian (Dodecad) 16
13 Romanians (Behar) 16.2
14 Morocco_Jews (Behar) 16.48
15 Bulgarians (Yunusbayev) 17.12
16 N_Italian (Dodecad) 19.37
17 North_Italian (HGDP) 19.41
18 Turkish (Dodecad) 20.24
19 Cypriots (Behar) 21.7
20 Canarias (1000 Genomes) 23.83

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 71% Bulgarian (Dodecad) + 29% Samaritians (Behar) @ 0.76
2 86.7% C_Italian (Dodecad) + 13.3% Abhkasians (Yunusbayev) @ 0.81
3 67.1% N_Italian (Dodecad) + 32.9% Iranian_Jews (Behar) @ 0.84
4 96.8% Greek (Dodecad) + 3.2% Tajiks (Yunusbayev) @ 0.87
5 85.7% C_Italian (Dodecad) + 14.3% Georgians (Behar) @ 0.88
6 96% Greek (Dodecad) + 4% Nogais (Yunusbayev) @ 0.88
7 65.3% Cypriots (Behar) + 34.7% British (Dodecad) @ 0.89
8 65% Cypriots (Behar) + 35% CEU30 (1000Genomes) @ 0.89
9 57% Samaritians (Behar) + 43% Lithuanians @ 0.91
10 63% N_Italian (Dodecad) + 37% Georgia_Jews (Behar) @ 0.92
11 52.5% Azerbaijan_Jews + 47.5% Pais_Vasco (1000 Genomes) @ 0.93
12 63.8% Cypriots (Behar) + 36.2% Mixed_Germanic (Dodecad) @ 0.94
13 54.2% Cataluna (1000 Genomes) + 45.8% Assyrian (Dodecad) @ 0.94
14 54.6% Castilla_La_Mancha (1000 Genomes) + 45.4% Armenian (Dodecad) @ 0.96
15 97.4% Greek (Dodecad) + 2.6% Uzbeks (Behar) @ 0.96
16 97.8% Greek (Dodecad) + 2.2% Uygur (HGDP) @ 0.97
17 65.8% Cypriots (Behar) + 34.2% British_Isles (Dodecad) @ 0.97
18 53.5% Samaritians (Behar) + 46.5% Belorussian (Behar) @ 0.98
19 64.8% North_Italian (HGDP) + 35.2% Azerbaijan_Jews @ 0.98
20 66.6% Cypriots (Behar) + 33.4% Orkney (1000 Genomes) @ 0.98


Greek from Kalymnos&Crete:

# Population Percent
1 Southern 41.03
2 Caucasus_Gedrosia 31.37
3 Atlantic_Baltic 26.71
4 Australasian 0.39
5 South_Asian 0.29
6 East_Asian 0.21

Single Population Sharing:

# Population (source) Distance
1 Sephardic_Jews (Behar) 5.65
2 Cypriots (Behar) 7.23
3 Morocco_Jews (Behar) 8.97
4 S_Italian (Dodecad) 9.15
5 Ashkenazi (Dodecad) 9.62
6 S_Italian_Sicilian (Dodecad) 9.96
7 Ashkenazy_Jews 10.75
8 Sicilian (Dodecad) 11.01
9 Turkish (Dodecad) 12.85
10 Greek (Dodecad) 14.15
11 Lebanese (Behar) 15.51
12 Turks (Behar) 16.9
13 Druze (HGDP) 17.1
14 Syrians (Behar) 17.75
15 Armenians (Behar) 18.14
16 C_Italian (Dodecad) 18.74
17 Georgia_Jews (Behar) 19.58
18 Jordanians (Behar) 20.08
19 Palestinian (HGDP) 20.08
20 O_Italian (Dodecad) 21.42

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 82.2% Cypriots (Behar) + 17.8% N_Italian (Dodecad) @ 0.43
2 86.8% Cypriots (Behar) + 13.2% French (Dodecad) @ 0.45
3 77.1% Cypriots (Behar) + 22.9% Tuscan (HGDP) @ 0.5
4 77.8% Cypriots (Behar) + 22.2% TSI30 (Metspalu) @ 0.51
5 72.2% Cypriots (Behar) + 27.8% C_Italian (Dodecad) @ 0.57
6 74.8% Cypriots (Behar) + 25.2% O_Italian (Dodecad) @ 0.59
7 82.1% Cypriots (Behar) + 17.9% North_Italian (HGDP) @ 0.6
8 66.2% Cypriots (Behar) + 33.8% Greek (Dodecad) @ 0.65
9 85.8% Cypriots (Behar) + 14.2% Cataluna (1000 Genomes) @ 0.73
10 84.1% Cypriots (Behar) + 15.9% Baleares (1000 Genomes) @ 0.9
11 88.5% Cypriots (Behar) + 11.5% Cornwall (1000 Genomes) @ 0.91
12 88.7% Cypriots (Behar) + 11.3% British_Isles (Dodecad) @ 0.93
13 55.9% Cypriots (Behar) + 44.1% S_Italian (Dodecad) @ 0.94
14 88.5% Cypriots (Behar) + 11.5% Kent (1000 Genomes) @ 0.94
15 58% Cypriots (Behar) + 42% S_Italian_Sicilian (Dodecad) @ 0.95
16 85.2% Cypriots (Behar) + 14.8% Spaniards (Behar) @ 0.95
17 88.5% Cypriots (Behar) + 11.5% British (Dodecad) @ 0.95
18 88% Cypriots (Behar) + 12% Mixed_Germanic (Dodecad) @ 0.95
19 85.6% Cypriots (Behar) + 14.4% Valencia (1000 Genomes) @ 0.96
20 85.7% Cypriots (Behar) + 14.3% Spanish (Dodecad) @ 1.01


Italian from Puglia (Fasano)

# Population Percent
1 Atlantic_Baltic 39.03
2 Southern 33.01
3 Caucasus_Gedrosia 26.02
4 Australasian 0.99
5 Amerindian 0.81
6 African 0.13

Single Population Sharing:

# Population (source) Distance
1 Greek (Dodecad) 1.64
2 Ashkenazy_Jews 5.33
3 S_Italian_Sicilian (Dodecad) 5.81
4 C_Italian (Dodecad) 5.94
5 Sicilian (Dodecad) 6.14
6 S_Italian (Dodecad) 6.43
7 Ashkenazi (Dodecad) 6.94
8 O_Italian (Dodecad) 7.84
9 Tuscan (HGDP) 10.89
10 TSI30 (Metspalu) 11.78
11 Sephardic_Jews (Behar) 13.94
12 Morocco_Jews (Behar) 16.09
13 Bulgarian (Dodecad) 16.4
14 Romanians (Behar) 16.66
15 Bulgarians (Yunusbayev) 17.52
16 N_Italian (Dodecad) 19.59
17 North_Italian (HGDP) 19.59
18 Turkish (Dodecad) 20.33
19 Cypriots (Behar) 21.41
20 Canarias (1000 Genomes) 23.9

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 99.1% Greek (Dodecad) + 0.9% Papuan @ 1.17
2 62.6% N_Italian (Dodecad) + 37.4% Georgia_Jews (Behar) @ 1.21
3 99% Greek (Dodecad) + 1% NAN_Melanesian @ 1.21
4 65.9% N_Italian (Dodecad) + 34.1% Iraq_Jews (Behar) @ 1.22
5 99.1% Greek (Dodecad) + 0.9% Colombians @ 1.22
6 99.1% Greek (Dodecad) + 0.9% Karitiana @ 1.23
7 99.1% Greek (Dodecad) + 0.9% Surui @ 1.23
8 99% Greek (Dodecad) + 1% Maya @ 1.23
9 99.1% Greek (Dodecad) + 0.9% Pima @ 1.23
10 98.9% Greek (Dodecad) + 1.1% PEL30 @ 1.24
11 98.4% Greek (Dodecad) + 1.6% Ecuadorian @ 1.26
12 98.1% Greek (Dodecad) + 1.9% MEX30 @ 1.27
13 75.5% Tuscan (HGDP) + 24.5% Uzbekistan_Jews @ 1.28
14 98.8% Greek (Dodecad) + 1.2% Athabask @ 1.28
15 65.6% Cypriots (Behar) + 34.4% Cornwall (1000 Genomes) @ 1.29
16 65.8% Cypriots (Behar) + 34.2% British (Dodecad) @ 1.29
17 52.8% Cantabria (1000 Genomes) + 47.2% Azerbaijan_Jews @ 1.29
18 65.7% Cypriots (Behar) + 34.3% Kent (1000 Genomes) @ 1.31
19 97.8% Greek (Dodecad) + 2.2% Colombian @ 1.31
20 66.3% Cypriots (Behar) + 33.7% British_Isles (Dodecad) @ 1.33


Muslim Palestinian:
# Population Percent
1 Southern 49.08
2 Caucasus_Gedrosia 29.05
3 Atlantic_Baltic 10.48
4 African 8.64
5 East_Asian 0.99
6 South_Asian 0.83
7 Amerindian 0.61
8 Siberian 0.29
9 Australasian 0.03

Single Population Sharing:

# Population (source) Distance
1 Palestinian (HGDP) 3.84
2 Jordanians (Behar) 4.66
3 Lebanese (Behar) 8.89
4 Bedouin (HGDP) 10.48
5 Syrians (Behar) 10.6
6 Egyptans (Behar) 11.72
7 Saudis (Behar) 12.49
8 Druze (HGDP) 12.68
9 Samaritians (Behar) 14.24
10 Cypriots (Behar) 14.82
11 Yemenese (Behar) 16.25
12 Yemen_Jews (Behar) 17.5
13 Morocco_Jews (Behar) 17.51
14 Georgia_Jews (Behar) 17.56
15 Sephardic_Jews (Behar) 18.73
16 Iraq_Jews (Behar) 20.18
17 Assyrian (Dodecad) 21.73
18 Azerbaijan_Jews 22.34
19 Iranian_Jews (Behar) 22.45
20 Uzbekistan_Jews 22.69

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 90.3% Palestinian (HGDP) + 9.7% Mozabite @ 1.51
2 90.6% Palestinian (HGDP) + 9.4% Moroccans (Behar) @ 1.59
3 62.2% Iraq_Jews (Behar) + 37.8% Mozabite @ 1.86
4 80.3% Samaritians (Behar) + 19.7% Dominican @ 2.01
5 93.8% Palestinian (HGDP) + 6.2% Puerto_Rican @ 2.25
6 93.8% Palestinian (HGDP) + 6.2% PUR30 @ 2.33
7 56% Egyptans (Behar) + 44% Cypriots (Behar) @ 2.46
8 95.1% Palestinian (HGDP) + 4.9% Dominican @ 2.48
9 94.4% Palestinian (HGDP) + 5.6% Sardinian @ 2.51
10 94.5% Palestinian (HGDP) + 5.5% Canarias (1000 Genomes) @ 2.6
11 94.8% Palestinian (HGDP) + 5.2% Brazilian (Dodecad) @ 2.62
12 57.4% Lebanese (Behar) + 42.6% Egyptans (Behar) @ 2.64
13 73% Druze (HGDP) + 27% Moroccans (Behar) @ 2.69
14 72.7% Druze (HGDP) + 27.3% Mozabite @ 2.7
15 95% Palestinian (HGDP) + 5% Murcia (1000 Genomes) @ 2.74
16 95.1% Palestinian (HGDP) + 4.9% CLM30 @ 2.74
17 95.3% Palestinian (HGDP) + 4.7% Portuguese (Dodecad) @ 2.76
18 95.4% Palestinian (HGDP) + 4.6% Castilla_Y_Leon (1000 Genomes) @ 2.78
19 96.2% Palestinian (HGDP) + 3.8% French_Basque @ 2.79
20 96.2% Palestinian (HGDP) + 3.8% Pais_Vasco (1000 Genomes) @ 2.79


Turkish:

# Population Percent
1 West_Asian 37.77
2 Atlantic_Baltic 31.16
3 Southern 28.25
4 Siberian 1.48
5 East_Asian 1.14
6 South_Asian 0.21

Single Population Sharing:

# Population (source) Distance
1 Turkish (Dodecad) 12.69
2 Turks (Behar) 13.21
3 Ashkenazy_Jews (Behar) 15.22
4 S_Italian_Sicilian (Dodecad) 15.34
5 Sicilian (Dodecad) 15.53
6 Ashkenazi (Dodecad) 15.81
7 Greek (Dodecad) 15.95
8 Kumyks (Yunusbayev) 17.4
9 Adygei (HGDP) 17.86
10 Balkars (Yunusbayev) 18.26
11 Sephardic_Jews (Behar) 18.54
12 Cypriots (Behar) 18.54
13 C_Italian (Dodecad) 18.61
14 North_Ossetians (Yunusbayev) 19.82
15 Chechens (Yunusbayev) 20.43
16 Morocco_Jews (Behar) 21.4
17 Nogais (Yunusbayev) 22.43
18 Tuscan (HGDP) 22.58
19 Lezgins (Behar) 22.95
20 Uzbekistan_Jews (Behar) 23.34

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 57.1% S_Italian_Sicilian (Dodecad) + 42.9% Chechens (Yunusbayev) @ 1.05
2 66.3% Georgia_Jews (Behar) + 33.7% Mixed_Slav (Dodecad) @ 1.2
3 65.7% Assyrian (Dodecad) + 34.3% Mixed_Slav (Dodecad) @ 1.25
4 66.9% Assyrian (Dodecad) + 33.1% Russian_B (Behar) @ 1.36
5 62.3% Iranian_Jews (Behar) + 37.7% Mixed_Slav (Dodecad) @ 1.4
6 53.8% S_Italian_Sicilian (Dodecad) + 46.2% Adygei (HGDP) @ 1.43
7 65.8% Georgia_Jews (Behar) + 34.2% Ukranians (Yunusbayev) @ 1.44
8 68.8% Georgia_Jews (Behar) + 31.2% Swedish (Dodecad) @ 1.46
9 68.6% Georgia_Jews (Behar) + 31.4% Norwegian (Dodecad) @ 1.51
10 64.5% Iranian_Jews (Behar) + 35.5% Belorussian (Behar) @ 1.51
11 67.8% Assyrian (Dodecad) + 32.2% Belorussian (Behar) @ 1.53
12 67.1% Assyrian (Dodecad) + 32.9% Russian (Dodecad) @ 1.53
13 68.4% Georgia_Jews (Behar) + 31.6% Belorussian (Behar) @ 1.53
14 65.2% Assyrian (Dodecad) + 34.8% Ukranians (Yunusbayev) @ 1.54
15 61.7% Iranian_Jews (Behar) + 38.3% Ukranians (Yunusbayev) @ 1.55
16 56.9% Sicilian (Dodecad) + 43.1% Chechens (Yunusbayev) @ 1.56
17 50.3% Armenians_15 (Yunusbayev) + 49.7% Bulgarian (Dodecad) @ 1.56
18 60% S_Italian_Sicilian (Dodecad) + 40% Lezgins (Behar) @ 1.57
19 66% Azerbaijan_Jews (Behar) + 34% Mixed_Slav (Dodecad) @ 1.57
20 60.2% Ashkenazy_Jews (Behar) + 39.8% Lezgins (Behar) @ 1.58

jortita
11-05-2016, 06:34 PM
Ancestry DNA Results

Admix Results (sorted):

# Population Percent
1 South_Asian 44.22
2 Caucasus_Gedrosia 25.26
3 East_Asian 14.56
4 Atlantic_Baltic 6.44
5 Siberian 5.53
6 Australasian 1.86
7 Southern 1.83
8 Amerindian 0.29

Single Population Sharing:

# Population (source) Distance
1 Cochin_Jews (Behar) 17.3
2 Brahmins_from_Uttar_Pradesh (Metspalu) 17.87
3 Kshatriya (Metspalu) 17.98
4 Indian (Dodecad) 18.06
5 Tharus (Metspalu) 18.96
6 Brahmins_from_Tamil_Nadu (Metspalu) 19.51
7 Muslim (Metspalu) 19.9
8 Dharkars (Metspalu) 20.58
9 GIH30 (Dodecad) 20.77
10 INS30 (SGVP) 20.81
11 Burusho (HGDP) 22.51
12 Kanjars (Metspalu) 22.66
13 Uttar_Pradesh_Scheduled_Caste (Metspalu) 23.23
14 Kol (Metspalu) 23.24
15 Bnei_Menashe_Jews 23.25
16 Dusadh (Metspalu) 23.72
17 Velamas (Metspalu) 24.09
18 Tamil_Nadu_Scheduled_Caste (Metspalu) 24.53
19 Gond (Metspalu) 24.65
20 Chenchus (Metspalu) 24.78

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 78.5% Tharus (Metspalu) + 21.5% Tu (HGDP) @ 3.29
2 80.3% Kshatriya (Metspalu) + 19.7% Naga (Metspalu) @ 3.31
3 78.2% Tharus (Metspalu) + 21.8% Xibo (HGDP) @ 3.44
4 80.8% Kshatriya (Metspalu) + 19.2% JPT30 (Behar) @ 3.54
5 76.7% Kshatriya (Metspalu) + 23.3% Garo (Chaubey) @ 3.55
6 80.8% Kshatriya (Metspalu) + 19.2% Japanese (Dodecad) @ 3.56
7 80.8% Kshatriya (Metspalu) + 19.2% Naxi (HGDP) @ 3.57
8 81% Kshatriya (Metspalu) + 19% Korean (Dodecad) @ 3.58
9 60.2% Burusho (HGDP) + 39.8% Juang (Chaubey) @ 3.63
10 81% Kshatriya (Metspalu) + 19% Yizu (HGDP) @ 3.64
11 75.9% Kshatriya (Metspalu) + 24.1% Burmanese (Chaubey) @ 3.7
12 79.9% Tharus (Metspalu) + 20.1% Japanese (Dodecad) @ 3.71
13 60.4% Burusho (HGDP) + 39.6% BONDA (Chaubey) @ 3.72
14 79.5% Kshatriya (Metspalu) + 20.5% Tu (HGDP) @ 3.74
15 80% Tharus (Metspalu) + 20% JPT30 (Behar) @ 3.74
16 79.5% Tharus (Metspalu) + 20.5% Naga (Metspalu) @ 3.81
17 80.2% Tharus (Metspalu) + 19.8% Korean (Dodecad) @ 3.88
18 60.6% Burusho (HGDP) + 39.4% Kharia (Chaubey) @ 4
19 60.8% Burusho (HGDP) + 39.2% Savara (Chaubey) @ 4.11
20 62.2% Dusadh (Metspalu) + 37.8% Uygur (HGDP) @ 4.14

Least-squares method.

Using 1 population approximation:
1 Brahmins_from_Uttaranchal @ 11.407973
2 Bengali @ 18.697348
3 Cochin_Jews @ 18.755466
4 Brahmins_from_Uttar_Pradesh @ 19.480627
5 Kshatriya @ 19.682077
6 Indian @ 19.773863
7 Lambadi @ 20.728008
8 Tharus @ 20.994968
9 Brahmins_from_Tamil_Nadu @ 21.494911
10 Meena @ 21.694670
11 Velamas @ 21.940126
12 Muslim @ 22.189814
13 GIH30 @ 22.941387
14 Dharkars @ 22.982914
15 Kurmi @ 23.181849
16 INS30 @ 23.226419
17 Meghawal @ 24.209215
18 Bnei_Menashe_Jews @ 24.884619
19 Burusho @ 25.121336
20 Kanjars @ 25.392883

Using 2 populations approximation:
1 50% Tajiks +50% ASUR @ 5.859154


Using 3 populations approximation:
1 50% Indian +25% Hazara +25% Juang @ 1.443072


Using 4 populations approximation:
1 Kalash + Uygur + Dhurwa + Gond @ 1.186088
2 Kalash + Uygur + Bhunjia + Gond @ 1.191842
3 Kalash + Uzbeks + Mawasi + ASUR @ 1.199690
4 Kalash + Uzbeks + Ho + ASUR @ 1.353576
5 Indian + Uygur + Gadaba + Meena @ 1.358477
6 Indian + Hazara + Juang + Meena @ 1.365171
7 Tajiks + Savara + Bengali + Brahmins_from_Uttaranchal @ 1.378360
8 Indian + Hazara + BONDA + Meena @ 1.410421
9 Tajiks + Kharia + Bengali + Brahmins_from_Uttaranchal @ 1.432483
10 Indian + Indian + Hazara + Juang @ 1.443072
11 Kalash + Uzbeks + ASUR + Savara @ 1.465083
12 INS30 + Tajiks + Gadaba + Brahmins_from_Uttaranchal @ 1.474801
13 Uygur + Gadaba + Brahmins_from_Tamil_Nadu + Meena @ 1.477844
14 Uygur + Juang + Brahmins_from_Tamil_Nadu + Meena @ 1.490914
15 Hazara + Juang + Kshatriya + Meena @ 1.499020
16 Kalash + Uzbeks + Savara + Nihali @ 1.500815
17 Indian + Indian + Hazara + BONDA @ 1.502025
18 Kalash + Uzbeks + Kharia + Nihali @ 1.506491
19 Tajiks + Gadaba + Brahmins_from_Uttaranchal + Muslim @ 1.508817
20 Kalash + Uzbeks + Gadaba + Nihali @ 1.512700

AnnieD
11-05-2016, 09:14 PM
My results as American of mostly British heritage. My signature below shows results from other Gedmatch calculators.

Admix Results (sorted):



#
Population
Percent


1
Atlantic_Baltic
72.49


2
Southern
12.75


3
Caucasus_Gedrosia
12.28


4
Amerindian
1.23




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

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

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic @ 1.942592
2 Dutch @ 2.501611
3 German @ 2.876967
4 CEU30 @ 3.581403
5 Cornwall @ 3.984881
6 Kent @ 4.022296
7 British @ 4.215168
8 Hungarians @ 5.189824
9 British_Isles @ 5.243717
10 Argyll @ 5.767399


Using 2 populations approximation:
1 50% British_Isles +50% Hungarians @ 0.946959


Using 3 populations approximation:
1 50% Lithuanian +25% Cantabria +25% Bulgarians @ 0.917735


Using 4 populations approximation:
1 Polish + German + French + Hungarians @ 0.827137
2 German + Swedish + North_Italian + Belorussian @ 0.852112
3 Norwegian + British_Isles + Lithuanian + Tuscan @ 0.852212
4 German + French + Belorussian + Hungarians @ 0.866694
5 Norwegian + Lithuanian + TSI30 + Cornwall @ 0.877212
6 North_Italian + Orcadian + Russian_B + Orkney @ 0.892926
7 Irish + North_Italian + Orcadian + Russian_B @ 0.894051
8 Polish + German + Belorussian + Baleares @ 0.902112
9 Irish + North_Italian + Russian_B + Orkney @ 0.903818
10 Hungarians + Lithuanians + Argyll + Baleares @ 0.906133

BalkanKiwi
11-05-2016, 09:26 PM
I posted my results earlier in the thread but without oracles, so I'll post them again with oracles so others can easily compare.

23andMe

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


Least-squares method.

Using 1 population approximation:
1 Hungarians @ 2.170748
2 French @ 5.742712
3 Mixed_Germanic @ 5.878685
4 Dutch @ 6.638274
5 French @ 7.288629
6 German @ 7.338332
7 CEU30 @ 8.006342
8 Cornwall @ 8.457605
9 Kent @ 8.608107
10 British @ 8.707860
11 Ukranians @ 8.865813
12 British_Isles @ 9.824317
13 Argyll @ 10.061024
14 Irish @ 10.525839
15 Orcadian @ 10.776424
16 Orkney @ 11.279037
17 Polish @ 11.710651
18 Cataluna @ 13.450223
19 Belorussian @ 13.514283
20 Russian_B @ 13.982812

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

FTDNA

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 68.81
2 Southern 14.67
3 Caucasus_Gedrosia 14.14
4 South_Asian 1.64
5 Australasian 0.69
6 African 0.04
7 Siberian 0.02


Least-squares method.

Using 1 population approximation:
1 Hungarians @ 2.402576
2 French @ 5.289946
3 Mixed_Germanic @ 5.727551
4 Dutch @ 6.573253
5 French @ 6.838140
6 German @ 7.294025
7 CEU30 @ 7.925202
8 Cornwall @ 8.320539
9 Kent @ 8.485667
10 British @ 8.597385
11 Ukranians @ 9.121096
12 British_Isles @ 9.711757
13 Argyll @ 10.070973
14 Irish @ 10.490355
15 Orcadian @ 10.732023
16 Orkney @ 11.219023
17 Polish @ 11.813305
18 Cataluna @ 13.046552
19 Belorussian @ 13.656112
20 Russian_B @ 14.211647

Using 2 populations approximation:
1 50% Hungarians +50% Hungarians @ 2.402576


Using 3 populations approximation:
1 50% Mixed_Germanic +25% CEU30 +25% Romanians @ 0.767833


Using 4 populations approximation:
1 Mixed_Germanic + Dutch + Romanians + Cornwall @ 0.692446
2 British + Mixed_Germanic + Dutch + Romanians @ 0.707213
3 Mixed_Germanic + Mixed_Germanic + CEU30 + Romanians @ 0.767833
4 Mixed_Germanic + Mixed_Germanic + Romanians + Kent @ 0.777347
5 Mixed_Germanic + Mixed_Germanic + Romanians + Cornwall @ 0.777597
6 Mixed_Germanic + Dutch + Romanians + Kent @ 0.778787
7 Mixed_Germanic + Dutch + CEU30 + Romanians @ 0.781107
8 German + Mixed_Germanic + Dutch + Romanians @ 0.787091
9 British + Mixed_Germanic + Mixed_Germanic + Romanians @ 0.789976
10 Dutch + Dutch + Romanians + Cornwall @ 0.803272
11 Mixed_Germanic + Mixed_Germanic + British_Isles + Romanians @ 0.818886
12 German + Mixed_Germanic + Romanians + Cornwall @ 0.819633
13 British + German + Mixed_Germanic + Romanians @ 0.845979
14 Mixed_Germanic + Dutch + Dutch + Romanians @ 0.851497
15 Mixed_Germanic + Mixed_Germanic + Dutch + Romanians @ 0.857506
16 British + Dutch + Dutch + Romanians @ 0.858165
17 German + Mixed_Germanic + Mixed_Germanic + Romanians @ 0.864335
18 Mixed_Germanic + British_Isles + Dutch + Romanians @ 0.867702
19 German + Mixed_Germanic + Romanians + Kent @ 0.871405
20 French + Romanians + Argyll + Argyll @ 0.871843

Sister's FTDNA

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 68.29
2 Southern 14.47
3 Caucasus_Gedrosia 14.35
4 South_Asian 2.42
5 Amerindian 0.21
6 Siberian 0.2
7 African 0.07

Abd.H
11-05-2016, 10:31 PM
The average Atlantic_Baltic for Syrian in the spreadsheet is 9.40 and for lebanese is 11.60 ,but mine is 15.5
The average African for Syrian is 4.70 and I got 2.04

# 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

Tz85
11-06-2016, 03:39 AM
Not sure what to make of this calculator, other than it's extremely inaccurate. Here's mine and my mothers, nothing alike.
Admix Results (sorted):

Mine
# Population Percent
1 Atlantic_Baltic 63.66
2 Caucasus_Gedrosia 17.39
3 Southern 17.01
4 Amerindian 0.86
5 South_Asian 0.55
6 East_Asian 0.32
7 African 0.21

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 5.77
2 French (HGDP) 8
3 French (Dodecad) 9.15
4 Bulgarians (Yunusbayev) 10.54
5 Mixed_Germanic (Dodecad) 10.93
6 N_Italian (Dodecad) 11.6
7 Bulgarian (Dodecad) 11.65
8 Dutch (Dodecad) 11.67
9 Cataluna (1000 Genomes) 12.21
10 German (Dodecad) 12.27
11 Romanians (Behar) 12.37
12 CEU30 (1000Genomes) 12.97
13 Ukranians (Yunusbayev) 13
14 Baleares (1000 Genomes) 13.1
15 North_Italian (HGDP) 13.17
16 Cornwall (1000 Genomes) 13.27
17 Spaniards (Behar) 13.29
18 Kent (1000 Genomes) 13.38
19 Valencia (1000 Genomes) 13.55
20 British (Dodecad) 13.57

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 79.4% Orcadian (HGDP) + 20.6% Georgia_Jews (Behar) @ 0.58
2 79% Orkney (1000 Genomes) + 21% Georgia_Jews (Behar) @ 0.65
3 82.3% Cornwall (1000 Genomes) + 17.7% Azerbaijan_Jews @ 0.66
4 79.4% Irish (Dodecad) + 20.6% Druze (HGDP) @ 0.68
5 76.9% Argyll (1000 Genomes) + 23.1% Cypriots (Behar) @ 0.7
6 83% German (Dodecad) + 17% Georgia_Jews (Behar) @ 0.71
7 79.9% Argyll (1000 Genomes) + 20.1% Druze (HGDP) @ 0.72
8 83.1% Kent (1000 Genomes) + 16.9% Iranian_Jews (Behar) @ 0.73
9 82.2% Kent (1000 Genomes) + 17.8% Azerbaijan_Jews @ 0.73
10 82.3% Cornwall (1000 Genomes) + 17.7% Assyrian (Dodecad) @ 0.75
11 82.2% CEU30 (1000Genomes) + 17.8% Georgia_Jews (Behar) @ 0.76
12 83.2% Cornwall (1000 Genomes) + 16.8% Iranian_Jews (Behar) @ 0.78
13 81.9% British_Isles (Dodecad) + 18.1% Iranian_Jews (Behar) @ 0.79
14 82.1% Kent (1000 Genomes) + 17.9% Assyrian (Dodecad) @ 0.8
15 80.7% Orcadian (HGDP) + 19.3% Iraq_Jews (Behar) @ 0.8
16 80.9% British_Isles (Dodecad) + 19.1% Assyrian (Dodecad) @ 0.8
17 80.9% British_Isles (Dodecad) + 19.1% Azerbaijan_Jews @ 0.82
18 81.6% Cornwall (1000 Genomes) + 18.4% Armenian (Dodecad) @ 0.82
19 83.7% Dutch (Dodecad) + 16.3% Georgia_Jews (Behar) @ 0.82
20 79.7% Irish (Dodecad) + 20.3% Georgia_Jews (Behar) @ 0.82

Moms
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 56.2
2 Southern 21.29
3 Caucasus_Gedrosia 20.29
4 Amerindian 0.77
5 Siberian 0.68
6 East_Asian 0.29
7 Australasian 0.29
8 African 0.19

Single Population Sharing:

# Population (source) Distance
1 Bulgarians (Yunusbayev) 2.42
2 Bulgarian (Dodecad) 3.42
3 Romanians (Behar) 5.18
4 N_Italian (Dodecad) 7.36
5 North_Italian (HGDP) 9.16
6 TSI30 (Metspalu) 11.35
7 Tuscan (HGDP) 11.97
8 Baleares (1000 Genomes) 12.27
9 O_Italian (Dodecad) 13.61
10 Hungarians (Behar) 13.79
11 Extremadura (1000 Genomes) 13.93
12 Andalucia (1000 Genomes) 14.08
13 Spaniards (Behar) 14.48
14 Galicia (1000 Genomes) 14.62
15 French (HGDP) 14.8
16 Portuguese (Dodecad) 14.93
17 Murcia (1000 Genomes) 14.97
18 Cataluna (1000 Genomes) 14.99
19 Castilla_La_Mancha (1000 Genomes) 15.2
20 Brazilian (Dodecad) 15.35

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 87.5% Bulgarian (Dodecad) + 12.5% Orcadian (HGDP) @ 0.61
2 87.4% Bulgarian (Dodecad) + 12.6% Irish (Dodecad) @ 0.62
3 85.9% Bulgarian (Dodecad) + 14.1% German (Dodecad) @ 0.63
4 87.2% Bulgarian (Dodecad) + 12.8% Argyll (1000 Genomes) @ 0.64
5 87.8% Bulgarian (Dodecad) + 12.2% Orkney (1000 Genomes) @ 0.65
6 86.3% Bulgarian (Dodecad) + 13.7% CEU30 (1000Genomes) @ 0.65
7 85.5% Bulgarian (Dodecad) + 14.5% Dutch (Dodecad) @ 0.67
8 86.5% Bulgarian (Dodecad) + 13.5% Kent (1000 Genomes) @ 0.68
9 86.4% Bulgarian (Dodecad) + 13.6% Cornwall (1000 Genomes) @ 0.69
10 87.1% Bulgarian (Dodecad) + 12.9% British_Isles (Dodecad) @ 0.69
11 86.6% Bulgarian (Dodecad) + 13.4% British (Dodecad) @ 0.7
12 85% Bulgarian (Dodecad) + 15% Mixed_Germanic (Dodecad) @ 0.71
13 80.5% Bulgarian (Dodecad) + 19.5% Hungarians (Behar) @ 0.74
14 62.2% Greek (Dodecad) + 37.8% Lithuanian (Dodecad) @ 0.76
15 89.2% Bulgarian (Dodecad) + 10.8% Norwegian (Dodecad) @ 0.76
16 64.2% Pais_Vasco (1000 Genomes) + 35.8% Lezgins (Behar) @ 0.76
17 89.3% Bulgarian (Dodecad) + 10.7% Swedish (Dodecad) @ 0.76
18 63.9% French_Basque + 36.1% Lezgins (Behar) @ 0.77
19 70.6% Polish (Dodecad) + 29.4% Samaritians (Behar) @ 0.8
20 56.5% Greek (Dodecad) + 43.5% Belorussian (Behar) @ 0.8

AnnieD
11-06-2016, 07:17 PM
Not sure what to make of this calculator, other than it's extremely inaccurate. Here's mine and my mothers, nothing alike.
Admix Results (sorted):

With all due respect to your known heritage per your chosen flags, your family appears to be admixed between 3 distinct ethnic associations: Italian, Baltic-Slavic & Jewish. These calculators appear to do some "blending" in such instances, even at 4-pop mode. OTOH, this calculator is less accurate for my known family heritage than Eurogenes K13 or K15. As a diaspora population, I expect to have some "fluidity" of range between the different Gedmatch calculators. ;)

Deftextra
11-06-2016, 08:08 PM
Me:
Admix Results (sorted):

# Population Percent
1 African 34.35
2 Southern 29.47
3 Caucasus_Gedrosia 16.61
4 South_Asian 13.56
5 East_Asian 1.74
6 Atlantic_Baltic 1.65
7 Amerindian 1.02


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

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

Least-squares method.

Using 1 population approximation:
1 Yemenese @ 25.290171
2 Ethiopians @ 26.199980
3 Ethiopian_Jews @ 26.926497
4 Somali @ 29.557055
5 Egyptans @ 32.325600
6 Moroccans @ 34.446362
7 Mozabite @ 36.855854
8 Jordanians @ 37.854404
9 Dominican @ 37.901897
10 Palestinian @ 39.663326
11 Bedouin @ 41.027470
12 Lebanese @ 41.474751
13 Syrians @ 41.800293
14 MKK30 @ 43.550144
15 Saudis @ 44.171314
16 Puerto_Rican @ 44.379665
17 Morocco_Jews @ 45.644657
18 Iranians @ 45.802376
19 Druze @ 46.218292
20 Turkmens @ 46.939804

Using 2 populations approximation:
1 50% Somali +50% Bnei_Menashe_Jews @ 12.061228


Using 3 populations approximation:
1 50% MKK30 +25% Cochin_Jews +25% Samaritians @ 3.258934


Using 4 populations approximation:
1 Cochin_Jews + Ethiopians + Yemen_Jews + San_He @ 1.757786
2 Somali + Cochin_Jews + Yemen_Jews + San_He @ 1.818075
3 Cochin_Jews + Ethiopian_Jews + Saudis + ACB30 @ 1.850908
4 Cochin_Jews + Ethiopians + Yemen_Jews + ACB30 @ 1.851356
5 Cochin_Jews + Ethiopian_Jews + Saudis + San_He @ 1.868081
6 Somali + Cochin_Jews + Samaritians + Hadza_He @ 1.920551
7 Cochin_Jews + Ethiopian_Jews + Yemen_Jews + San_He @ 1.928575
8 Somali + Cochin_Jews + Jordanians + Sandawe_He @ 1.955323
9 Cochin_Jews + Ethiopian_Jews + Yemen_Jews + ACB30 @ 2.029824
10 Palestinian + Cochin_Jews + Ethiopian_Jews + Hadza_He @ 2.072654
11 Cochin_Jews + Ethiopians + Saudis + ACB30 @ 2.114862
12 Indian + Somali + Yemen_Jews + Hadza_He @ 2.133233
13 Bedouin + Cochin_Jews + Ethiopian_Jews + San_He @ 2.146225
14 Cochin_Jews + Ethiopians + Saudis + San_He @ 2.149328
15 Indian + Bedouin + Ethiopian_Jews + Hadza_He @ 2.157455
16 Indian + Ethiopian_Jews + Saudis + Hadza_He @ 2.159034
17 Indian + Bantu_N.E. + Ethiopian_Jews + Yemen_Jews @ 2.162098
18 Somali + Yemen_Jews + Hadza_He + Meena @ 2.246564
19 Indian + LWK30 + Ethiopian_Jews + Yemen_Jews @ 2.249224
20 Indian + Ethiopians + Yemen_Jews + Hadza_He @ 2.253256
C1

Admix Results (sorted):

# Population Percent
1 African 27.50
2 Southern 26.79
3 Caucasus_Gedrosia 21.23
4 South_Asian 16.53
5 Atlantic_Baltic 3.24
6 East_Asian 2.18
7 Amerindian 1.91


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

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

Least-squares method.

Using 1 population approximation:
1 Yemenese @ 24.228748
2 Egyptans @ 31.864897
3 Jordanians @ 34.148369
4 Ethiopians @ 34.872875
5 Ethiopian_Jews @ 35.262009
6 Palestinian @ 36.169292
7 Lebanese @ 36.758465
8 Syrians @ 36.794262
9 Moroccans @ 38.015362
10 Iranians @ 38.530956
11 Somali @ 38.585381
12 Turkmens @ 39.029003
13 Bedouin @ 39.495743
14 Bnei_Menashe_Jews @ 39.519711
15 Mozabite @ 40.045559
16 Dominican @ 40.544449
17 Turkish @ 40.769711
18 Turks @ 41.021236
19 Druze @ 41.324085
20 Saudis @ 41.983299

Using 2 populations approximation:
1 50% Somali +50% Pathan @ 5.341433


Using 3 populations approximation:
1 50% Palestinian +25% LWK30 +25% Chenchus @ 2.766697


Using 4 populations approximation:
1 Palestinian + Yemenese + Hadza_He + Bengali @ 2.082668
2 Saudis + Yemenese + ACB30 + Bengali @ 2.088239
3 Egyptans + Jordanians + Hadza_He + Bengali @ 2.148550
4 Saudis + Yemenese + San_He + Bengali @ 2.181684
5 Yemen_Jews + Yemenese + San_He + Bengali @ 2.217589
6 Yemen_Jews + Yemenese + ACB30 + Bengali @ 2.226588
7 Egyptans + Saudis + San_He + Bengali @ 2.253844
8 ASW30 + Saudis + Yemenese + Bengali @ 2.259208
9 Bedouin + LWK30 + Jordanians + Kol @ 2.316205
10 Bedouin + Yemenese + San_He + Bengali @ 2.322666
11 Egyptans + Jordanians + Hadza_He + Kurmi @ 2.342517
12 Bantu_S.E._Pedi + Druze + Saudis + Gond @ 2.355994
13 Bantu_S.E._S.Sotho + Druze + Saudis + Gond @ 2.355994
14 Biaka_Pygmies + Druze + Saudis + Gond @ 2.355994
15 Druze + Mbuti_Pygmies + Saudis + Gond @ 2.355994
16 Bantu_N.E. + Bedouin + Jordanians + Kol @ 2.364477
17 Druze + Yoruba + Saudis + Gond @ 2.365224
18 Bantu_S.W._Ovambo + Druze + Saudis + Gond @ 2.365687
19 Saudis + Yemenese + ACB30 + Lambadi @ 2.366339
20 Druze + YRI30 + Saudis + Gond @ 2.373022



C2:


Admix Results (sorted):

# Population Percent
1 African 32.92
2 Southern 28.90
3 Caucasus_Gedrosia 19.95
4 South_Asian 13.39
5 East_Asian 1.83
6 Siberian 1.42
7 Atlantic_Baltic 1.01


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

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

Least-squares method.

Using 1 population approximation:
1 Yemenese @ 23.715704
2 Ethiopians @ 28.927229
3 Ethiopian_Jews @ 29.572580
4 Egyptans @ 31.531563
5 Somali @ 32.501602
6 Jordanians @ 35.882202
7 Moroccans @ 36.403576
8 Palestinian @ 37.842377
9 Mozabite @ 38.729481
10 Lebanese @ 39.314102
11 Syrians @ 39.431717
12 Dominican @ 39.903770
13 Bedouin @ 39.904724
14 Iranians @ 42.565189
15 Saudis @ 42.737934
16 Druze @ 43.925690
17 Turkmens @ 44.069786
18 Turkish @ 44.763454
19 Morocco_Jews @ 44.829376
20 Turks @ 45.030777

Using 2 populations approximation:
1 50% Somali +50% Makrani @ 9.343138


Using 3 populations approximation:
1 50% Bedouin +25% Biaka_Pygmies +25% Bengali @ 4.228422


Using 4 populations approximation:
1 Somali + Cochin_Jews + Iranian_Jews + Sandawe_He @ 2.162588
2 Somali + Cochin_Jews + Iraq_Jews + Sandawe_He @ 2.292314
3 Cochin_Jews + Ethiopian_Jews + Iraq_Jews + Hadza_He @ 2.478160
4 Bantu_N.E. + Cochin_Jews + Egyptans + Yemenese @ 2.626698
5 Assyrian + Somali + Cochin_Jews + Sandawe_He @ 2.633813
6 Somali + Azerbaijan_Jews + Cochin_Jews + Sandawe_He @ 2.645769
7 LWK30 + Cochin_Jews + Egyptans + Yemenese @ 2.687301
8 Bantu_S.E._Zulu + Bedouin + Cochin_Jews + Yemenese @ 2.714468
9 Cochin_Jews + Ethiopians + Iraq_Jews + Hadza_He @ 2.715845
10 Bedouin + YRI30 + Cochin_Jews + Yemenese @ 2.718399
11 Bantu_S.W._Ovambo + Bedouin + Cochin_Jews + Yemenese @ 2.718573
12 Bedouin + Yoruba + Cochin_Jews + Yemenese @ 2.721841
13 Somali + Cochin_Jews + Georgia_Jews + Sandawe_He @ 2.733569
14 Bantu_S.E._Tswana + Bedouin + Cochin_Jews + Yemenese @ 2.737143
15 Bantu_S.E._Pedi + Bedouin + Cochin_Jews + Yemenese @ 2.740741
16 Bantu_S.E._S.Sotho + Bedouin + Cochin_Jews + Yemenese @ 2.740741
17 Bedouin + Biaka_Pygmies + Cochin_Jews + Yemenese @ 2.740741
18 Bedouin + Mbuti_Pygmies + Cochin_Jews + Yemenese @ 2.740741
19 Somali + Bnei_Menashe_Jews + Iranians + Sandawe_He @ 2.778738
20 Bantu_S.W._Herero + Bedouin + Cochin_Jews + Yemenese @ 2.785004


C3:

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 African 32.28
2 Southern 29.08
3 Caucasus_Gedrosia 16.21
4 South_Asian 15.91
5 Atlantic_Baltic 3.25
6 Australasian 1.10
7 East_Asian 1.04
8 Siberian 1.00


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

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

Least-squares method.

Using 1 population approximation:
1 Yemenese @ 25.670160
2 Ethiopians @ 28.304049
3 Ethiopian_Jews @ 28.885599
4 Somali @ 31.675591
5 Egyptans @ 32.398132
6 Moroccans @ 34.233192
7 Mozabite @ 36.484089
8 Jordanians @ 37.454620
9 Dominican @ 37.955750
10 Palestinian @ 39.213173
11 Lebanese @ 40.799583
12 Bedouin @ 40.896183
13 Syrians @ 41.140030
14 Puerto_Rican @ 43.461346
15 Saudis @ 43.990921
16 Morocco_Jews @ 44.298843
17 Iranians @ 44.910122
18 Turkmens @ 45.569191
19 Druze @ 45.574547
20 Bnei_Menashe_Jews @ 45.630547

Using 2 populations approximation:
1 50% Somali +50% Bnei_Menashe_Jews @ 9.185738


Using 3 populations approximation:
1 50% Bedouin +25% Biaka_Pygmies +25% Gond @ 3.644607


Using 4 populations approximation:
1 Palestinian + Ethiopian_Jews + Sandawe_He + Bengali @ 0.882596
2 Palestinian + Ethiopians + Sandawe_He + Bengali @ 1.042434
3 Ethiopian_Jews + Jordanians + Sandawe_He + Bengali @ 1.112982
4 ASW30 + Ethiopian_Jews + Yemen_Jews + Bengali @ 1.120956
5 Ethiopian_Jews + Jordanians + Sandawe_He + Lambadi @ 1.197508
6 MKK30 + Ethiopians + Jordanians + Bengali @ 1.205626
7 Somali + Palestinian + MKK30 + Bengali @ 1.232501
8 ASW30 + Ethiopian_Jews + Yemen_Jews + Lambadi @ 1.240805
9 Palestinian + Ethiopian_Jews + Sandawe_He + Lambadi @ 1.262697
10 Palestinian + Ethiopian_Jews + Sandawe_He + Tharus @ 1.266304
11 Palestinian + Ethiopians + Sandawe_He + Lambadi @ 1.283805
12 Palestinian + Ethiopian_Jews + Sandawe_He + Muslim @ 1.327430
13 Ethiopian_Jews + Jordanians + Sandawe_He + Muslim @ 1.352146
14 Palestinian + MKK30 + Ethiopians + Bengali @ 1.352763
15 Ethiopian_Jews + Jordanians + Sandawe_He + Tharus @ 1.353008
16 Palestinian + Ethiopians + Sandawe_He + Muslim @ 1.422960
17 Palestinian + Ethiopians + Sandawe_He + Tharus @ 1.423005
18 MKK30 + Ethiopian_Jews + Jordanians + Bengali @ 1.425021
19 ASW30 + Ethiopian_Jews + Yemen_Jews + INS30 @ 1.428435
20 Somali + MKK30 + Jordanians + Bengali @ 1.431694

Tz85
11-06-2016, 09:38 PM
With all due respect to your known heritage per your chosen flags, your family appears to be admixed between 3 distinct ethnic associations: Italian, Baltic-Slavic & Jewish. These calculators appear to do some "blending" in such instances, even at 4-pop mode. OTOH, this calculator is less accurate for my known family heritage than Eurogenes K13 or K15. As a diaspora population, I expect to have some "fluidity" of range between the different Gedmatch calculators. ;)


And Kent, Cornwall, Irish, and British fit where within my known heritage? My mothers primary populations, and mine are not alike at all.

AnnieD
11-07-2016, 06:22 AM
And Kent, Cornwall, Irish, and British fit where within my known heritage? My mothers primary populations, and mine are not alike at all.

You're new on this forum. How much time have you spent reviewing Gedmatch calculator results before trying to analyze your own results? I believe that the typical member of this forum will adhere to mantra 'different calculators for different folks', e.g. admixture tools are apparently designed for specific populations.

Eurogenes appears to be an exception in a wide range of cases as even some Japanese, Middle Eastern and similar non-European testers get reasonable results. The calculator developer also took pains to mitigate the calculator effect, or discrepancies that arise for testers not in the original sample database. Take a look at my Gedmatch results across several popular calculators on this currently circulating thread:

http://www.anthrogenica.com/showthread.php?8986-Just-How-quot-accurate-quot-is-autosomal-DNA-ethnicity&goto=newpost

On at least 1 calculator, I wind up in all 4 corners of Europe in 4-pop mode. However, the calculator was designed for primarily NE Euros so sample & algorithm differences (I'm not genetic scientist so best I can explain it) give my primarily, but not entirely, NW Euro ancestry "wonky" results.

Tz85
11-07-2016, 02:35 PM
You're new on this forum. How much time have you spent reviewing Gedmatch calculator results before trying to analyze your own results? I believe that the typical member of this forum will adhere to mantra 'different calculators for different folks', e.g. admixture tools are apparently designed for specific populations.

Eurogenes appears to be an exception in a wide range of cases as even some Japanese, Middle Eastern and similar non-European testers get reasonable results. The calculator developer also took pains to mitigate the calculator effect, or discrepancies that arise for testers not in the original sample database. Take a look at my Gedmatch results across several popular calculators on this currently circulating thread:

http://www.anthrogenica.com/showthread.php?8986-Just-How-quot-accurate-quot-is-autosomal-DNA-ethnicity&goto=newpost

On at least 1 calculator, I wind up in all 4 corners of Europe in 4-pop mode. However, the calculator was designed for primarily NE Euros so sample & algorithm differences (I'm not genetic scientist so best I can explain it) give my primarily, but not entirely, NW Euro ancestry "wonky" results.

I've been researching genetics for over 10 years. I've been on Gedmatch since the creation of the site. Being new to this site is irrelevant. The point of my post was the huge discrepancy between my and my moms results.

dp
11-07-2016, 04:55 PM
I've been researching genetics for over 10 years. I've been on Gedmatch since the creation of the site. Being new to this site is irrelevant. The point of my post was the huge discrepancy between my and my moms results.
Since you have tested your mom & yourself, have you made a phased kit, and run admixture on it. The results, of admix run on the maternal phase, should make more since to you.
dp :-)

AnnieD
11-08-2016, 03:27 AM
I've been researching genetics for over 10 years. I've been on Gedmatch since the creation of the site. Being new to this site is irrelevant. The point of my post was the huge discrepancy between my and my moms results.

My apologies for mis-assumption on your "junior" Gedmatch status. You could clearly teach most of us a thing or two! I didn't even know Gedmatch had been around that long. LOL! And, I concede your point about your mother's incongruous results, albeit I think it would help members to interpret your results if you indicated in your post or signature the estimated % of your ancestries. My father's & my results do not show quite as dramatic a discrepancy on any calculator. (thus far ;)).

I wonder, given your background, if you have a theory on how far back the Dodecad results are purporting to measure, albeit the results are too off for your family to probably matter much. Would you have a theory in regard to this discrepancy as well, e.g. how does a calculator that includes populations that seem to match your known heritage yield such wildly disparate results? Does it really boil down to samples and targeted population algorithms? That is as far as I've been able to understand.

Tz85
11-08-2016, 02:33 PM
My apologies for mis-assumption on your "junior" Gedmatch status. You could clearly teach most of us a thing or two! I didn't even know Gedmatch had been around that long. LOL! And, I concede your point about your mother's incongruous results, albeit I think it would help members to interpret your results if you indicated in your post or signature the estimated % of your ancestries. My father's & my results do not show quite as dramatic a discrepancy on any calculator. (thus far ;)).

I wonder, given your background, if you have a theory on how far back the Dodecad results are purporting to measure, albeit the results are too off for your family to probably matter much. Would you have a theory in regard to this discrepancy as well, e.g. how does a calculator that includes populations that seem to match your known heritage yield such wildly disparate results? Does it really boil down to samples and targeted population algorithms? That is as far as I've been able to understand.

Gedmatch hasn't been around that long. As far as known Ancestry, I have no admixture within recent times that would pull kent, british, Irish, etc. All recent ancestry is Southern Italian, Slav, Jewish and Baltic.

DJP
03-22-2017, 07:55 PM
My mother is 100% Sicilian, but her family doesn't have southern Mediterranean features. Most are very fair skinned and quite a few are blond and blue eyed. Her parents village in Sicily was known for having a sizable Norman influence. My mother's World 9 results show a lot of Italian and also Irish, Argyl, Orkney, Swedish, etc. My father's side is mixed German, French, British and Slavic. Gedmatch calculators seem to have a real problem with someone as admixed as me. Along with what I mention above, I get a lot Hungarian, Bulgarian and Romanian, of which we have no known ancestry. It seems like this happens to others here too.

kevinduffy
06-10-2017, 09:03 PM
My nMonte2 results:

FULL TABLE nMONTE

[1] "distance%=0.077 / distance=0.00077"

Kduffy

Irish 53.90
Argyll 12.85
Kent 6.75
Lithuanians 5.95
Dutch 3.95
French1 3.10
North_Italian 1.60
Polish 1.40
British_Isles 1.05
Tuscan 1.05
French_Basque 0.90
Hungarians 0.80
Greek 0.70
French2 0.60
TSI30 0.60
Abhkasians 0.60
Mixed_Germanic 0.50
Swedish 0.45
Bulgarian 0.35
Armenian 0.30
Norwegian 0.30
Georgians 0.30
Orcadian 0.25
Lithuanian 0.20
Cornwall 0.20
Balkars 0.20
Armenians1 0.15
German 0.10
S_Italian 0.10
Pima 0.10
She 0.10
Georgia_Jews 0.10
Pais_Vasco 0.10
Bulgarians 0.10
Ukranians 0.10
North_Ossetians 0.10
Samaritians 0.05
Orkney 0.05

RESTRICTED nMONTE

[1] "distance%=0.1711 / distance=0.001711"

Kduffy

Irish 37.25
Argyll 34.30
Tuscan 10.05
Lithuanians 9.55
Polish 4.75
French1 4.10

firemonkey
06-11-2017, 12:28 AM
My and my father's nMonte 2 results



[1] "distance%=0.8684 / distance=0.008684"


firemonkey
"Argyll" 49.35
"Lithuanian" 24.8
"Extremadura" 16.7
"North_Italian" 9.15



[1] "distance%=0.4369 / distance=0.004369"


dad
"Lithuanians" 50.15
"North_Italian" 24.85
"French_Basque" 16
"Norwegian" 4.35
"Georgians" 2.4
"N_Italian" 2.15
"Greek" 0.1

NewAlbion
06-13-2017, 10:53 AM
World9 Oracle results:

Kit A703943

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 71.74
2 Caucasus_Gedrosia 12.96
3 Southern 10.73
4 Amerindian 1.3
5 Siberian 0.98
6 Australasian 0.86
7 African 0.79
8 South_Asian 0.64

Single Population Sharing:

# Population (source) Distance
1 Dutch (Dodecad) 3.22
2 German (Dodecad) 3.31
3 Mixed_Germanic (Dodecad) 3.53
4 CEU30 (1000Genomes) 3.9
5 British (Dodecad) 4.61
6 Ukranians (Yunusbayev) 4.69
7 Kent (1000 Genomes) 4.7
8 Cornwall (1000 Genomes) 4.73
9 Hungarians (Behar) 4.94
10 Argyll (1000 Genomes) 5.18
11 British_Isles (Dodecad) 5.51
12 Irish (Dodecad) 5.69
13 Orcadian (HGDP) 5.91
14 Orkney (1000 Genomes) 6.38
15 Polish (Dodecad) 6.49
16 Belorussian (Behar) 8.11
17 French (HGDP) 8.16
18 Russian_B (Behar) 8.81
19 Russian (Dodecad) 9.27
20 French (Dodecad) 9.3

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 87.9% Swedish (Dodecad) + 12.1% Jordanians (Behar) @ 1.51
2 78.3% Lithuanian (Dodecad) + 21.7% Morocco_Jews (Behar) @ 1.51
3 87.3% Swedish (Dodecad) + 12.7% Lebanese (Behar) @ 1.52
4 88% Swedish (Dodecad) + 12% Palestinian (HGDP) @ 1.53
5 87.7% Swedish (Dodecad) + 12.3% Syrians (Behar) @ 1.58
6 85.1% Lithuanian (Dodecad) + 14.9% Yemen_Jews (Behar) @ 1.61
7 87.9% Norwegian (Dodecad) + 12.1% Syrians (Behar) @ 1.67
8 77.7% Polish (Dodecad) + 22.3% Brazilian (Dodecad) @ 1.69
9 95.1% German (Dodecad) + 4.9% Tajiks (Yunusbayev) @ 1.69
10 87.8% Swedish (Dodecad) + 12.2% Druze (HGDP) @ 1.7
11 93.9% Argyll (1000 Genomes) + 6.1% Yemenese (Behar) @ 1.71
12 92.5% Polish (Dodecad) + 7.5% Bedouin (HGDP) @ 1.73
13 94% CEU30 (1000Genomes) + 6% Tajiks (Yunusbayev) @ 1.73
14 92.8% British (Dodecad) + 7.2% Tajiks (Yunusbayev) @ 1.75
15 84.2% Lithuanian (Dodecad) + 15.8% Bedouin (HGDP) @ 1.76
16 92.1% Polish (Dodecad) + 7.9% Egyptans (Behar) @ 1.76
17 87.6% Norwegian (Dodecad) + 12.4% Lebanese (Behar) @ 1.76
18 96.5% German (Dodecad) + 3.5% Makrani @ 1.78
19 93.3% CEU30 (1000Genomes) + 6.7% Nogais (Yunusbayev) @ 1.79
20 95.3% German (Dodecad) + 4.7% Uzbeks (Behar) @ 1.8

JFWinstone
06-13-2017, 12:14 PM
Mine


Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 56.51
2 Caucasus_Gedrosia 10.18
3 East_Asian 9.96
4 Southern 9.7
5 African 7.79
6 South_Asian 3.46
7 Siberian 1.61
8 Amerindian 0.72
9 Australasian 0.07

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 17.72
2 Brazilian (Dodecad) 18.26
3 French (HGDP) 19.37
4 Romanians (Behar) 19.92
5 French (Dodecad) 19.96
6 Ukranians (Yunusbayev) 20.42
7 Mixed_Germanic (Dodecad) 20.43
8 Bulgarians (Yunusbayev) 20.56
9 Dutch (Dodecad) 20.84
10 CEU30 (1000Genomes) 21.06
11 Bulgarian (Dodecad) 21.06
12 German (Dodecad) 21.08
13 Mordovians (Yunusbayev) 21.14
14 Extremadura (1000 Genomes) 21.43
15 Cataluna (1000 Genomes) 21.52
16 British (Dodecad) 21.65
17 Cornwall (1000 Genomes) 21.74
18 Portuguese (Dodecad) 21.76
19 N_Italian (Dodecad) 21.84
20 Galicia (1000 Genomes) 21.89

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 83.6% Hungarians (Behar) + 16.4% Garo (Chaubey) @ 9.65
2 83.2% Hungarians (Behar) + 16.8% Burmanese (Chaubey) @ 9.75
3 82.4% Hungarians (Behar) + 17.6% PANIYA @ 9.83
4 80.3% Mixed_Germanic (Dodecad) + 19.7% Burmanese (Chaubey) @ 9.83
5 82% Hungarians (Behar) + 18% Khasi (Chaubey) @ 9.89
6 79.7% CEU30 (1000Genomes) + 20.3% Burmanese (Chaubey) @ 9.9
7 79% Mixed_Germanic (Dodecad) + 21% Khasi (Chaubey) @ 9.9
8 80% Dutch (Dodecad) + 20% Burmanese (Chaubey) @ 9.9
9 81% Mixed_Germanic (Dodecad) + 19% Garo (Chaubey) @ 9.96
10 84.7% Hungarians (Behar) + 15.3% MAS30 (SGVP) @ 9.97
11 78.3% CEU30 (1000Genomes) + 21.7% Khasi (Chaubey) @ 9.98
12 78.3% German (Dodecad) + 21.7% Khasi (Chaubey) @ 10
13 79.8% German (Dodecad) + 20.2% Burmanese (Chaubey) @ 10
14 78.6% Dutch (Dodecad) + 21.4% Khasi (Chaubey) @ 10.01
15 80.6% Dutch (Dodecad) + 19.4% Garo (Chaubey) @ 10.02
16 85.1% Hungarians (Behar) + 14.9% Cambodians (HGDP) @ 10.03
17 79.5% Mixed_Germanic (Dodecad) + 20.5% PANIYA @ 10.04
18 80.4% CEU30 (1000Genomes) + 19.6% Garo (Chaubey) @ 10.09
19 79.1% Dutch (Dodecad) + 20.9% PANIYA @ 10.1
20 77.8% British (Dodecad) + 22.2% Khasi (Chaubey) @ 10.12

Using 2 populations approximation:
1 50% PUR30 +50% Mordovians @ 12.232150


Using 3 populations approximation:
1 50% Norwegian +25% Uygur +25% Puerto_Rican @ 8.224089


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++
1 Norwegian + Lithuanian + Uygur + Puerto_Rican @ 8.041476
2 Norwegian + Uygur + Lithuanians + Puerto_Rican @ 8.069632
3 Lithuanian + Uygur + Puerto_Rican + Orkney @ 8.086169
4 Uygur + Lithuanians + Puerto_Rican + Orkney @ 8.107883
5 Lithuanian + Orcadian + Uygur + Puerto_Rican @ 8.127190
6 Swedish + Lithuanian + Uygur + Puerto_Rican @ 8.144439
7 Orcadian + Uygur + Lithuanians + Puerto_Rican @ 8.149798
8 Swedish + Uygur + Lithuanians + Puerto_Rican @ 8.172238
9 British_Isles + Lithuanian + Uygur + Puerto_Rican @ 8.180398
10 Lithuanian + Uygur + PUR30 + Orkney @ 8.193271
11 British_Isles + Uygur + Lithuanians + Puerto_Rican @ 8.198405
12 Lithuanian + Orcadian + Uygur + PUR30 @ 8.210697
13 Irish + Lithuanian + Uygur + Puerto_Rican @ 8.214878
14 Norwegian + Norwegian + Uygur + Puerto_Rican @ 8.224089
15 Uygur + Lithuanians + PUR30 + Orkney @ 8.229525
16 Irish + Uygur + Lithuanians + Puerto_Rican @ 8.239966
17 Norwegian + Lithuanian + Uygur + PUR30 @ 8.247844
18 Orcadian + Uygur + Lithuanians + PUR30 @ 8.247852
19 British_Isles + Lithuanian + Uygur + PUR30 @ 8.249735
20 Lithuanian + Lithuanian + Uygur + Puerto_Rican @ 8.249760


Mum


Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 37.75
2 East_Asian 20.01
3 African 16.83
4 Caucasus_Gedrosia 8.12
5 South_Asian 7.06
6 Southern 6.15
7 Siberian 2.16
8 Australasian 1.4
9 Amerindian 0.53

Single Population Sharing:

# Population (source) Distance
1 PUR30 28.93
2 Puerto_Rican 29.09
3 Brazilian (Dodecad) 33.34
4 Romanians (Behar) 34.83
5 Bulgarian (Dodecad) 36.64
6 Bulgarians (Yunusbayev) 36.81
7 Chuvashs (Behar) 36.97
8 Uzbeks (Behar) 36.98
9 Dominican 37.34
10 Nogais (Yunusbayev) 37.43
11 CLM30 37.75
12 Uygur (HGDP) 37.86
13 Aleut 37.97
14 Canarias (1000 Genomes) 38.44
15 N_Italian (Dodecad) 38.78
16 O_Italian (Dodecad) 38.83
17 Extremadura (1000 Genomes) 39.17
18 Portuguese (Dodecad) 39.2
19 TSI30 (Metspalu) 39.31
20 Tuscan (HGDP) 39.32

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 70.3% PUR30 + 29.7% Burmanese (Chaubey) @ 16.87
2 71.4% PUR30 + 28.6% Garo (Chaubey) @ 17.07
3 73.4% PUR30 + 26.6% MAS30 (SGVP) @ 17.14
4 67.9% PUR30 + 32.1% Khasi (Chaubey) @ 17.16
5 74.2% PUR30 + 25.8% Cambodians (HGDP) @ 17.25
6 70.4% Puerto_Rican + 29.6% Burmanese (Chaubey) @ 17.42
7 68.8% PUR30 + 31.2% PANIYA @ 17.53
8 68% Puerto_Rican + 32% Khasi (Chaubey) @ 17.63
9 73.5% Puerto_Rican + 26.5% MAS30 (SGVP) @ 17.64
10 71.6% Puerto_Rican + 28.4% Garo (Chaubey) @ 17.68
11 74.3% Puerto_Rican + 25.7% Cambodians (HGDP) @ 17.74
12 76.7% PUR30 + 23.3% Lahu @ 17.87
13 77.3% PUR30 + 22.7% KHV30 (1000Genomes) @ 17.97
14 74.7% PUR30 + 25.3% Naxi (HGDP) @ 17.99
15 74.8% PUR30 + 25.2% Yizu (HGDP) @ 17.99
16 76.6% PUR30 + 23.4% CHD30 (Metspalu) @ 18.07
17 76.6% PUR30 + 23.4% Tujia (HGDP) @ 18.07
18 76% PUR30 + 24% Chinese (Dodecad) @ 18.07
19 76.6% PUR30 + 23.4% Han (HGDP) @ 18.08
20 75.9% PUR30 + 24.1% CHB30 (Metspalu) @ 18.09

Using 2 populations approximation:
1 50% German +50% PANIYA @ 20.030355


Using 3 populations approximation:
1 50% Russian +25% MKK30 +25% MAS30 @ 3.397548


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +
1 Lithuanian + MKK30 + MAS30 + Mordovians @ 3.321840
2 MKK30 + Belorussian + MAS30 + Mordovians @ 3.322477
3 MKK30 + Russian_B + MAS30 + Mordovians @ 3.345903
4 Russian + MKK30 + Russian_B + MAS30 @ 3.394467
5 Russian + Russian + MKK30 + MAS30 @ 3.397548
6 Russian + MKK30 + Russian_B + MAS30 @ 3.404325
7 MKK30 + Lithuanians + MAS30 + Mordovians @ 3.424338
8 Russian + MKK30 + Belorussian + MAS30 @ 3.439889
9 Russian + MKK30 + MAS30 + Mordovians @ 3.440709
10 MKK30 + Russian_B + Russian_B + MAS30 @ 3.458216
11 Russian + Russian + MKK30 + MAS30 @ 3.497387
12 Polish + MKK30 + MAS30 + Mordovians @ 3.568013
13 Cambodians + MKK30 + Belorussian + Mordovians @ 3.568565
14 Lithuanian + Cambodians + MKK30 + Mordovians @ 3.575439
15 Cambodians + MKK30 + Russian_B + Mordovians @ 3.610651
16 Polish + Russian + MKK30 + MAS30 @ 3.636961
17 Russian + Russian + Cambodians + MKK30 @ 3.653936
18 Swedish + MKK30 + MAS30 + Mordovians @ 3.659158
19 Russian + Cambodians + MKK30 + Russian_B @ 3.664955
20 Cambodians + Russian + MKK30 + Russian_B @ 3.671239

SaltyShanker
02-15-2018, 04:04 AM
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 70.94
2 Southern 17.31
3 Caucasus_Gedrosia 10.45
4 Siberian 1.3

Single Population Sharing:

# Population (source) Distance
1 French (HGDP) 2.08
2 French (Dodecad) 2.8
3 Mixed_Germanic (Dodecad) 5.14
4 Hungarians (Behar) 5.76
5 Dutch (Dodecad) 6.46
6 Cornwall (1000 Genomes) 6.76
7 German (Dodecad) 6.9
8 Kent (1000 Genomes) 6.95
9 CEU30 (1000Genomes) 7.09
10 British (Dodecad) 7.21
11 British_Isles (Dodecad) 7.99
12 Irish (Dodecad) 9.44
13 Cataluna (1000 Genomes) 9.45
14 Orcadian (HGDP) 9.53
15 Argyll (1000 Genomes) 9.6
16 Orkney (1000 Genomes) 9.73
17 Ukranians (Yunusbayev) 10.86
18 Cantabria (1000 Genomes) 10.89
19 Valencia (1000 Genomes) 11.36
20 Pais_Vasco (1000 Genomes) 11.45

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 67.3% Hungarians (Behar) + 32.7% French_Basque @ 0.8
2 91.2% French (HGDP) + 8.8% Finnish (Dodecad) @ 0.86
3 66.7% Hungarians (Behar) + 33.3% Pais_Vasco (1000 Genomes) @ 0.86
4 91.1% French (HGDP) + 8.9% FIN30 (1000Genomes) @ 0.89
5 85% French (Dodecad) + 15% Russian (Dodecad) @ 0.91
6 87.8% French (HGDP) + 12.2% Norwegian (Dodecad) @ 0.98
7 72.1% Polish (Dodecad) + 27.9% Sardinian @ 0.99
8 50.2% Swedish (Dodecad) + 49.8% Baleares (1000 Genomes) @ 0.99
9 85% French (Dodecad) + 15% Russian_B (Behar) @ 1
10 51.4% Norwegian (Dodecad) + 48.6% Baleares (1000 Genomes) @ 1.01
11 88.5% French (HGDP) + 11.5% Swedish (Dodecad) @ 1.02
12 86.8% French (Dodecad) + 13.2% Russian (HGDP) @ 1.03
13 58.5% Baleares (1000 Genomes) + 41.5% Lithuanians @ 1.08
14 55.7% Cataluna (1000 Genomes) + 44.3% Polish (Dodecad) @ 1.08
15 50.2% Polish (Dodecad) + 49.8% Spaniards (Behar) @ 1.09
16 84.2% French (Dodecad) + 15.8% Belorussian (Behar) @ 1.11
17 80.7% French (Dodecad) + 19.3% Ukranians (Yunusbayev) @ 1.11
18 52% Ukranians (Yunusbayev) + 48% Aragon (1000 Genomes) @ 1.12
19 51.1% Valencia (1000 Genomes) + 48.9% Polish (Dodecad) @ 1.12
20 81.9% French (HGDP) + 18.1% British_Isles (Dodecad) @ 1.13

lukaszM
02-28-2018, 05:23 PM
Amerindian 0.56
East_Asian -
African -
Atlantic_Baltic 73.47
Australasian -
Siberian 1.19
Caucasus_Gedrosia 14.90
Southern 8.89
South_Asian 0.96


Single Population Sharing:

# Population (source) Distance
1 Ukranians (Yunusbayev) 2.09
2 Dutch (Dodecad) 3.79
3 German (Dodecad) 3.8
4 Argyll (1000 Genomes) 4.09
5 Polish (Dodecad) 4.35
6 CEU30 (1000Genomes) 4.51
7 Mixed_Germanic (Dodecad) 4.9
8 Irish (Dodecad) 5
9 British (Dodecad) 5.18
10 Kent (1000 Genomes) 5.27
11 Orcadian (HGDP) 5.43
12 Cornwall (1000 Genomes) 5.46
13 British_Isles (Dodecad) 5.71
14 Belorussian (Behar) 5.85
15 Orkney (1000 Genomes) 5.89
16 Hungarians (Behar) 6.66
17 Russian_B (Behar) 6.75
18 Russian (Dodecad) 7.29
19 Swedish (Dodecad) 8.25
20 Norwegian (Dodecad) 8.37



Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 76.1% Lithuanian (Dodecad) + 23.9% Greek (Dodecad) @ 0.41
2 86.2% Lithuanian (Dodecad) + 13.8% Samaritians (Behar) @ 0.5
3 78.4% Lithuanian (Dodecad) + 21.6% S_Italian (Dodecad) @ 0.54
4 94.6% Polish (Dodecad) + 5.4% Iraq_Jews (Behar) @ 0.54
5 64% Lithuanian (Dodecad) + 36% Bulgarians (Yunusbayev) @ 0.54
6 94.3% Polish (Dodecad) + 5.7% Georgia_Jews (Behar) @ 0.55
7 94.7% Polish (Dodecad) + 5.3% Iranian_Jews (Behar) @ 0.56
8 65.1% Lithuanian (Dodecad) + 34.9% Bulgarian (Dodecad) @ 0.59
9 94.4% Polish (Dodecad) + 5.6% Assyrian (Dodecad) @ 0.59
10 94.4% Polish (Dodecad) + 5.6% Azerbaijan_Jews @ 0.6
11 94.2% Polish (Dodecad) + 5.8% Uzbekistan_Jews @ 0.62
12 78.2% Lithuanian (Dodecad) + 21.8% S_Italian_Sicilian (Dodecad) @ 0.63
13 94.2% Polish (Dodecad) + 5.8% Druze (HGDP) @ 0.64
14 94.2% Polish (Dodecad) + 5.8% Syrians (Behar) @ 0.66
15 94.2% Polish (Dodecad) + 5.8% Armenian (Dodecad) @ 0.68
16 94.2% Polish (Dodecad) + 5.8% Armenians (Yunusbayev) @ 0.71
17 92.9% Polish (Dodecad) + 7.1% Turkish (Dodecad) @ 0.73
18 84.7% Polish (Dodecad) + 15.3% Romanians (Behar) @ 0.73
19 93.4% Polish (Dodecad) + 6.6% Cypriots (Behar) @ 0.75
20 94% Polish (Dodecad) + 6% Lebanese (Behar) @ 0.76


Least-squares method.

Using 1 population approximation:
1 Ukranians @ 2.166343
2 Dutch @ 4.054366
3 German @ 4.120571
4 Argyll @ 4.565300
5 Polish @ 4.790461
6 CEU30 @ 4.916813
7 Mixed_Germanic @ 5.208436
8 Irish @ 5.579632
9 British @ 5.668548
10 Kent @ 5.760288
11 Cornwall @ 5.951665
12 Orcadian @ 6.039111
13 British_Isles @ 6.304522
14 Belorussian @ 6.350620
15 Orkney @ 6.575454
16 Russian_B @ 7.089435
17 Hungarians @ 7.204444
18 Russian @ 7.634840
19 Swedish @ 9.168563
20 Norwegian @ 9.336049

Using 2 populations approximation:
1 50% Belorussian +50% Hungarians @ 1.284620


Using 3 populations approximation:
1 50% Polish +25% Lithuanian +25% Bulgarians @ 0.642124


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++
1 Polish + Lithuanian + Belorussian + Bulgarians @ 0.608826
2 Polish + Polish + Lithuanian + Bulgarians @ 0.642124
3 Greek + Lithuanian + Lithuanian + Lithuanian @ 0.673884
4 Dutch + Lithuanians + Lithuanians + Romanians @ 0.699182
5 Polish + Bulgarian + Lithuanian + Belorussian @ 0.728836
6 Greek + Lithuanian + Lithuanian + Lithuanians @ 0.790999
7 Polish + Polish + Lithuanians + Bulgarians @ 0.795007
8 German + Lithuanians + Lithuanians + Romanians @ 0.797427
9 Belorussian + Lithuanians + Argyll + Bulgarians @ 0.801761
10 Polish + Bulgarian + Belorussian + Lithuanians @ 0.804802
11 Lithuanian + Belorussian + Argyll + Bulgarians @ 0.812529
12 Polish + Belorussian + Lithuanians + Bulgarians @ 0.825355
13 Mixed_Germanic + Lithuanians + Lithuanians + Romanians @ 0.833464
14 Dutch + Lithuanian + Lithuanians + Romanians @ 0.835749
15 Polish + Polish + Bulgarian + Lithuanian @ 0.837109
16 German + Lithuanian + Lithuanians + Romanians @ 0.877565
17 Bulgarian + Lithuanian + Belorussian + Argyll @ 0.889569
18 Bulgarian + Lithuanian + Belorussian + Belorussian @ 0.907954
19 Bulgarian + Belorussian + Lithuanians + Argyll @ 0.916819
20 Greek + Lithuanian + Lithuanians + Lithuanians @ 0.924691

jortita
05-09-2018, 02:52 AM
Updated Living DNA

Admix Results (sorted):

# Population Percent
1 South_Asian 44.96
2 Caucasus_Gedrosia 22.86
3 East_Asian 16.76
4 Atlantic_Baltic 6.97
5 Australasian 2.91
6 Siberian 2.85
7 Southern 1.87
8 Amerindian 0.81

Single Population Sharing:

# Population (source) Distance
1 Cochin_Jews (Behar) 19.22
2 Brahmins_from_Uttar_Pradesh (Metspalu) 19.93
3 Kshatriya (Metspalu) 19.96
4 Indian (Dodecad) 20.29
5 Tharus (Metspalu) 20.36
6 Muslim (Metspalu) 21.11
7 Dharkars (Metspalu) 21.69
8 Brahmins_from_Tamil_Nadu (Metspalu) 21.72
9 INS30 (SGVP) 22.1
10 GIH30 (Dodecad) 22.66
11 Kanjars (Metspalu) 23.52
12 Gond (Metspalu) 23.67
13 Kol (Metspalu) 23.68
14 Uttar_Pradesh_Scheduled_Caste (Metspalu) 23.93
15 Dusadh (Metspalu) 24.23
16 Chenchus (Metspalu) 24.85
17 Velamas (Metspalu) 25.2
18 Tamil_Nadu_Scheduled_Caste (Metspalu) 25.22
19 Bnei_Menashe_Jews 25.3
20 Burusho (HGDP) 25.42

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 66.6% Kshatriya (Metspalu) + 33.4% PANIYA @ 3.12
2 66.6% Brahmins_from_Uttar_Pradesh (Metspalu) + 33.4% PANIYA @ 3.19
3 54.9% Burusho (HGDP) + 45.1% Juang (Chaubey) @ 3.24
4 55.1% Burusho (HGDP) + 44.9% BONDA (Chaubey) @ 3.4
5 65.7% Kshatriya (Metspalu) + 34.3% Khasi (Chaubey) @ 3.54
6 50.8% Pathan (HGDP) + 49.2% Juang (Chaubey) @ 3.77
7 51% Pathan (HGDP) + 49% BONDA (Chaubey) @ 3.85
8 65.8% Brahmins_from_Uttar_Pradesh (Metspalu) + 34.2% Khasi (Chaubey) @ 3.95
9 66.3% Indian (Dodecad) + 33.7% PANIYA @ 3.95
10 74.2% Kshatriya (Metspalu) + 25.8% Garo (Chaubey) @ 4.05
11 65.5% Indian (Dodecad) + 34.5% Khasi (Chaubey) @ 4.33
12 78.7% Tharus (Metspalu) + 21.3% Yizu (HGDP) @ 4.51
13 72.9% Tharus (Metspalu) + 27.1% Burmanese (Chaubey) @ 4.52
14 73.3% Kshatriya (Metspalu) + 26.7% Burmanese (Chaubey) @ 4.54
15 54.5% Savara (Chaubey) + 45.5% Tajiks (Yunusbayev) @ 4.58
16 78.6% Tharus (Metspalu) + 21.4% Naxi (HGDP) @ 4.6
17 54.2% Ho (Chaubey) + 45.8% Tajiks (Yunusbayev) @ 4.6
18 79.7% Tharus (Metspalu) + 20.3% CHB30 (Metspalu) @ 4.66
19 55.6% Burusho (HGDP) + 44.4% Kharia (Chaubey) @ 4.66
20 79.8% Tharus (Metspalu) + 20.2% Chinese (Dodecad) @ 4.69

Updated Ancestry DNA

Admix Results (sorted):

# Population Percent
1 South_Asian 44.04
2 Caucasus_Gedrosia 24.31
3 East_Asian 15.89
4 Atlantic_Baltic 5.54
5 Southern 3.63
6 Siberian 3.24
7 Australasian 2.06
8 Amerindian 1.3

Single Population Sharing:

# Population (source) Distance
1 Cochin_Jews (Behar) 17.43
2 Indian (Dodecad) 19.21
3 Brahmins_from_Uttar_Pradesh (Metspalu) 19.26
4 Kshatriya (Metspalu) 19.28
5 Tharus (Metspalu) 19.99
6 Brahmins_from_Tamil_Nadu (Metspalu) 20.68
7 Muslim (Metspalu) 20.83
8 Dharkars (Metspalu) 21.47
9 INS30 (SGVP) 21.62
10 GIH30 (Dodecad) 21.8
11 Bnei_Menashe_Jews 22.91
12 Kanjars (Metspalu) 23.44
13 Burusho (HGDP) 23.74
14 Kol (Metspalu) 23.78
15 Uttar_Pradesh_Scheduled_Caste (Metspalu) 23.88
16 Dusadh (Metspalu) 24.25
17 Gond (Metspalu) 24.61
18 Velamas (Metspalu) 24.75
19 Tamil_Nadu_Scheduled_Caste (Metspalu) 24.95
20 Chenchus (Metspalu) 25.08

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 57.9% Burusho (HGDP) + 42.1% Juang (Chaubey) @ 3.29
2 58.1% Burusho (HGDP) + 41.9% BONDA (Chaubey) @ 3.38
3 53.7% Pathan (HGDP) + 46.3% Juang (Chaubey) @ 3.55
4 53.8% Pathan (HGDP) + 46.2% BONDA (Chaubey) @ 3.56
5 67.2% Indian (Dodecad) + 32.8% Khasi (Chaubey) @ 3.93
6 75.1% Kshatriya (Metspalu) + 24.9% Garo (Chaubey) @ 4.19
7 75.2% Indian (Dodecad) + 24.8% Garo (Chaubey) @ 4.28
8 69.5% Cochin_Jews (Behar) + 30.5% Khasi (Chaubey) @ 4.31
9 74.2% Kshatriya (Metspalu) + 25.8% Burmanese (Chaubey) @ 4.35
10 67.3% Kshatriya (Metspalu) + 32.7% Khasi (Chaubey) @ 4.43
11 58.6% Burusho (HGDP) + 41.4% Kharia (Chaubey) @ 4.5
12 68.4% Indian (Dodecad) + 31.6% PANIYA @ 4.5
13 58.8% Burusho (HGDP) + 41.2% Savara (Chaubey) @ 4.68
14 77.6% Tharus (Metspalu) + 22.4% Tu (HGDP) @ 4.75
15 67.4% Brahmins_from_Uttar_Pradesh (Metspalu) + 32.6% Khasi (Chaubey) @ 4.77
16 74.4% Indian (Dodecad) + 25.6% Burmanese (Chaubey) @ 4.79
17 79.2% Tharus (Metspalu) + 20.8% Yizu (HGDP) @ 4.85
18 79.1% Tharus (Metspalu) + 20.9% Naxi (HGDP) @ 4.91
19 78.7% Tharus (Metspalu) + 21.3% Naga (Metspalu) @ 4.97
20 68.4% Kshatriya (Metspalu) + 31.6% PANIYA @ 4.99

Updated Geno 2.0 converted to FTDNA

Admix Results (sorted):

# Population Percent
1 South_Asian 41.22
2 Caucasus_Gedrosia 26.4
3 East_Asian 20.09
4 Southern 3.86
5 Atlantic_Baltic 3.74
6 Siberian 2.5
7 Australasian 2.2

Single Population Sharing:

# Population (source) Distance
1 Cochin_Jews (Behar) 20.39
2 Indian (Dodecad) 22.34
3 Brahmins_from_Uttar_Pradesh (Metspalu) 22.82
4 Kshatriya (Metspalu) 22.98
5 Burusho (HGDP) 23.68
6 Brahmins_from_Tamil_Nadu (Metspalu) 23.83
7 Tharus (Metspalu) 23.99
8 Bnei_Menashe_Jews 24.39
9 Muslim (Metspalu) 24.88
10 GIH30 (Dodecad) 25.03
11 INS30 (SGVP) 25.39
12 Dharkars (Metspalu) 25.58
13 Sindhi (HGDP) 26.66
14 Kanjars (Metspalu) 27.58
15 Kol (Metspalu) 27.8
16 Uttar_Pradesh_Scheduled_Caste (Metspalu) 27.96
17 Dusadh (Metspalu) 28.11
18 Velamas (Metspalu) 28.14
19 Gond (Metspalu) 28.47
20 Tamil_Nadu_Scheduled_Caste (Metspalu) 28.57

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 69.7% Indian (Dodecad) + 30.3% Burmanese (Chaubey) @ 3.55
2 71.6% Cochin_Jews (Behar) + 28.4% Burmanese (Chaubey) @ 3.69
3 74.1% Indian (Dodecad) + 25.9% MAS30 (SGVP) @ 3.72
4 70.9% Indian (Dodecad) + 29.1% Garo (Chaubey) @ 3.74
5 75.9% Cochin_Jews (Behar) + 24.1% MAS30 (SGVP) @ 3.92
6 75% Indian (Dodecad) + 25% Cambodians (HGDP) @ 3.94
7 72.8% Brahmins_from_Tamil_Nadu (Metspalu) + 27.2% MAS30 (SGVP) @ 3.99
8 79.5% Cochin_Jews (Behar) + 20.5% CHD30 (Metspalu) @ 4.1
9 79.5% Cochin_Jews (Behar) + 20.5% Tujia (HGDP) @ 4.1
10 79.9% Cochin_Jews (Behar) + 20.1% Miaozu @ 4.1
11 77.8% Indian (Dodecad) + 22.2% Lahu @ 4.11
12 76.8% Cochin_Jews (Behar) + 23.2% Cambodians (HGDP) @ 4.11
13 79.5% Cochin_Jews (Behar) + 20.5% Han (HGDP) @ 4.12
14 79.4% Cochin_Jews (Behar) + 20.6% Lahu @ 4.12
15 80% Cochin_Jews (Behar) + 20% CHS30 (SGVP) @ 4.12
16 80.1% Cochin_Jews (Behar) + 19.9% She (HGDP) @ 4.16
17 78.3% Indian (Dodecad) + 21.7% Miaozu @ 4.2
18 78% Indian (Dodecad) + 22% Tujia (HGDP) @ 4.21
19 77.9% Indian (Dodecad) + 22.1% Han (HGDP) @ 4.21
20 72.9% Cochin_Jews (Behar) + 27.1% Garo (Chaubey) @ 4.21

Updated MyHeritageDNA

Admix Results (sorted):

# Population Percent
1 South_Asian 41.11
2 Caucasus_Gedrosia 27.65
3 East_Asian 19.91
4 Southern 4.47
5 Australasian 2.58
6 Siberian 2.41
7 Atlantic_Baltic 1.87

Single Population Sharing:

# Population (source) Distance
1 Cochin_Jews (Behar) 19.88
2 Indian (Dodecad) 22.18
3 Brahmins_from_Uttar_Pradesh (Metspalu) 23.09
4 Kshatriya (Metspalu) 23.12
5 Burusho (HGDP) 23.28
6 Brahmins_from_Tamil_Nadu (Metspalu) 23.55
7 Bnei_Menashe_Jews 23.64
8 Tharus (Metspalu) 24.13
9 GIH30 (Dodecad) 24.77
10 Muslim (Metspalu) 24.99
11 INS30 (SGVP) 25.3
12 Dharkars (Metspalu) 25.72
13 Sindhi (HGDP) 25.96
14 Kanjars (Metspalu) 27.73
15 Velamas (Metspalu) 27.88
16 Kol (Metspalu) 27.94
17 Uttar_Pradesh_Scheduled_Caste (Metspalu) 28.08
18 Dusadh (Metspalu) 28.16
19 Pathan (HGDP) 28.17
20 Tamil_Nadu_Scheduled_Caste (Metspalu) 28.41

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 80.3% Cochin_Jews (Behar) + 19.7% Miaozu @ 3.77
2 80.4% Cochin_Jews (Behar) + 19.6% CHS30 (SGVP) @ 3.78
3 76.5% Cochin_Jews (Behar) + 23.5% MAS30 (SGVP) @ 3.8
4 80% Cochin_Jews (Behar) + 20% CHD30 (Metspalu) @ 3.8
5 80% Cochin_Jews (Behar) + 20% Tujia (HGDP) @ 3.81
6 79.9% Cochin_Jews (Behar) + 20.1% Lahu @ 3.81
7 72.4% Cochin_Jews (Behar) + 27.6% Burmanese (Chaubey) @ 3.81
8 80% Cochin_Jews (Behar) + 20% Han (HGDP) @ 3.82
9 80.5% Cochin_Jews (Behar) + 19.5% She (HGDP) @ 3.82
10 79.5% Cochin_Jews (Behar) + 20.5% Chinese (Dodecad) @ 4.01
11 80.4% Cochin_Jews (Behar) + 19.6% KHV30 (1000Genomes) @ 4.03
12 79.4% Cochin_Jews (Behar) + 20.6% CHB30 (Metspalu) @ 4.03
13 77.4% Cochin_Jews (Behar) + 22.6% Cambodians (HGDP) @ 4.06
14 80.9% Cochin_Jews (Behar) + 19.1% Dai (HGDP) @ 4.12
15 81% Cochin_Jews (Behar) + 19% CDX30 (1000Genomes) @ 4.12
16 78.5% Cochin_Jews (Behar) + 21.5% Yizu (HGDP) @ 4.31
17 73.6% Cochin_Jews (Behar) + 26.4% Garo (Chaubey) @ 4.45
18 78.4% Cochin_Jews (Behar) + 21.6% Naxi (HGDP) @ 4.47
19 73.3% Brahmins_from_Tamil_Nadu (Metspalu) + 26.7% MAS30 (SGVP) @ 4.76
20 77.6% Brahmins_from_Tamil_Nadu (Metspalu) + 22.4% Miaozu @ 4.86

kush
05-09-2018, 04:45 AM
Genesis
Admix Results (sorted):

# Population Percent
1 South_Asian 58.34
2 Caucasus_Gedrosia 35.66
3 East_Asian 2.19
4 Australasian 1.45
5 Southern 1.15
6 Amerindian 0.68
7 Atlantic_Baltic 0.34
8 African 0.18

Single Population Sharing:

# Population (source) Distance
1 GIH30 (Dodecad) 4.07
2 Brahmins_from_Tamil_Nadu (Metspalu) 5.33
3 INS30 (SGVP) 5.74
4 Velamas (Metspalu) 6.87
5 Tharus (Metspalu) 7.24
6 Muslim (Metspalu) 7.55
7 Indian (Dodecad) 8.29
8 Dharkars (Metspalu) 8.35
9 Kshatriya (Metspalu) 9.38
10 Tamil_Nadu_Scheduled_Caste (Metspalu) 9.92
11 Kanjars (Metspalu) 9.96
12 Cochin_Jews (Behar) 10.51
13 Uttar_Pradesh_Scheduled_Caste (Metspalu) 11.03
14 Kurumba (Metspalu) 11.27
15 Dusadh (Metspalu) 11.42
16 Brahmins_from_Uttar_Pradesh (Metspalu) 12.54
17 Kol (Metspalu) 12.6
18 Piramalai_Kallars (Metspalu) 13.01
19 Chenchus (Metspalu) 15.68
20 Chamar (Metspalu) 19.11

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 80.2% Tamil_Nadu_Scheduled_Caste (Metspalu) + 19.8% Kalash @ 1.48
2 84.6% Velamas (Metspalu) + 15.4% Balochi (HGDP) @ 1.94
3 85.3% Velamas (Metspalu) + 14.7% Brahui (HGDP) @ 1.97
4 76.6% Velamas (Metspalu) + 23.4% Sindhi (HGDP) @ 2
5 85.8% Velamas (Metspalu) + 14.2% Kalash @ 2.06
6 75.6% Piramalai_Kallars (Metspalu) + 24.4% Kalash @ 2.21
7 80.2% Velamas (Metspalu) + 19.8% Burusho (HGDP) @ 2.24
8 85.9% Velamas (Metspalu) + 14.1% Makrani @ 2.24
9 81.1% Velamas (Metspalu) + 18.9% Pathan (HGDP) @ 2.39
10 78.3% Kurumba (Metspalu) + 21.7% Kalash @ 2.43
11 74% Piramalai_Kallars (Metspalu) + 26% Balochi (HGDP) @ 2.65
12 65.5% Hakkipikki (Metspalu) + 34.5% Kalash @ 2.65
13 74.9% Piramalai_Kallars (Metspalu) + 25.1% Brahui (HGDP) @ 2.73
14 76.8% Kurumba (Metspalu) + 23.2% Balochi (HGDP) @ 2.75
15 90.7% Velamas (Metspalu) + 9.3% Abhkasians (Yunusbayev) @ 2.76
16 77.7% Kurumba (Metspalu) + 22.3% Brahui (HGDP) @ 2.81
17 90.3% Velamas (Metspalu) + 9.7% Lezgins (Behar) @ 2.84
18 69.2% Tamil_Nadu_Scheduled_Caste (Metspalu) + 30.8% Sindhi (HGDP) @ 2.89
19 90.8% Velamas (Metspalu) + 9.2% Georgians (Behar) @ 2.95
20 78.2% Dusadh (Metspalu) + 21.8% Kalash @ 2.97

Regular gedmatch
Admix Results (sorted):

# Population Percent
1 South_Asian 60.3
2 Caucasus_Gedrosia 34.6
3 East_Asian 2.34
4 Southern 1.42
5 Australasian 0.65
6 Amerindian 0.54
7 African 0.17

Single Population Sharing:

# Population (source) Distance
1 INS30 (SGVP) 4.59
2 Velamas (Metspalu) 4.97
3 GIH30 (Dodecad) 5.02
4 Brahmins_from_Tamil_Nadu (Metspalu) 6.57
5 Muslim (Metspalu) 6.69
6 Tharus (Metspalu) 7.22
7 Dharkars (Metspalu) 7.29
8 Tamil_Nadu_Scheduled_Caste (Metspalu) 8.03
9 Kanjars (Metspalu) 8.55
10 Uttar_Pradesh_Scheduled_Caste (Metspalu) 9.37
11 Kurumba (Metspalu) 9.42
12 Dusadh (Metspalu) 9.65
13 Indian (Dodecad) 9.78
14 Kshatriya (Metspalu) 10.41
15 Kol (Metspalu) 10.91
16 Piramalai_Kallars (Metspalu) 11.14
17 Cochin_Jews (Behar) 11.37
18 Brahmins_from_Uttar_Pradesh (Metspalu) 13.74
19 Chenchus (Metspalu) 13.94
20 Chamar (Metspalu) 17.32

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 88.9% Velamas (Metspalu) + 11.1% Balochi (HGDP) @ 1.43
2 89.3% Velamas (Metspalu) + 10.7% Brahui (HGDP) @ 1.43
3 84.1% Tamil_Nadu_Scheduled_Caste (Metspalu) + 15.9% Kalash @ 1.52
4 89.7% Velamas (Metspalu) + 10.3% Makrani @ 1.56
5 83.3% Velamas (Metspalu) + 16.7% Sindhi (HGDP) @ 1.65
6 85.9% Velamas (Metspalu) + 14.1% Burusho (HGDP) @ 1.83
7 90% Velamas (Metspalu) + 10% Kalash @ 1.85
8 93.2% Velamas (Metspalu) + 6.8% Abhkasians (Yunusbayev) @ 1.92
9 86.6% Velamas (Metspalu) + 13.4% Pathan (HGDP) @ 1.98
10 93.3% Velamas (Metspalu) + 6.7% Georgians (Behar) @ 2.08
11 92.5% Velamas (Metspalu) + 7.5% Iranian (Dodecad) @ 2.14
12 93.1% Velamas (Metspalu) + 6.9% Lezgins (Behar) @ 2.2
13 93.1% Velamas (Metspalu) + 6.9% North_Ossetians (Yunusbayev) @ 2.21
14 93% Velamas (Metspalu) + 7% Kurd (Dodecad) @ 2.22
15 93.1% Velamas (Metspalu) + 6.9% Kurds (Yunusbayev) @ 2.22
16 77.7% Piramalai_Kallars (Metspalu) + 22.3% Balochi (HGDP) @ 2.27
17 93% Velamas (Metspalu) + 7% Kumyks (Yunusbayev) @ 2.29
18 93.2% Velamas (Metspalu) + 6.8% Chechens (Yunusbayev) @ 2.3
19 92.7% Velamas (Metspalu) + 7.3% Iranians (Behar) @ 2.32
20 79.3% Piramalai_Kallars (Metspalu) + 20.7% Kalash @ 2.33

JerryS.
05-09-2018, 04:57 AM
this one is close I guess, though that French primary throws things off a bit. I have no known or recent French ancestry. and of course, Ashkenazi is used in place of Southern Italian/Sicilian again.

Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 92.7% French (HGDP) + 7.3% Abhkasians (Yunusbayev) @ 0.78
2 66.5% British (Dodecad) + 33.5% C_Italian (Dodecad) @ 0.8
3 74% Cornwall (1000 Genomes) + 26% Ashkenazi (Dodecad) @ 0.81
4 92.3% French (HGDP) + 7.7% Georgians (Behar) @ 0.82
5 64.4% Cornwall (1000 Genomes) + 35.6% O_Italian (Dodecad) @ 0.83
6 66.4% Mixed_Germanic (Dodecad) + 33.6% Tuscan (HGDP) @ 0.84
7 63.7% British (Dodecad) + 36.3% O_Italian (Dodecad) @ 0.84
8 73.7% Kent (1000 Genomes) + 26.3% Ashkenazi (Dodecad) @ 0.85
9 67.3% Cornwall (1000 Genomes) + 32.7% C_Italian (Dodecad) @ 0.87
10 64.1% Kent (1000 Genomes) + 35.9% O_Italian (Dodecad) @ 0.87
11 71.6% Mixed_Germanic (Dodecad) + 28.4% C_Italian (Dodecad) @ 0.88
12 65.4% Mixed_Germanic (Dodecad) + 34.6% TSI30 (Metspalu) @ 0.88
13 73.2% Cornwall (1000 Genomes) + 26.8% Sicilian (Dodecad) @ 0.89
14 60.9% British (Dodecad) + 39.1% Tuscan (HGDP) @ 0.89
15 66.9% Kent (1000 Genomes) + 33.1% C_Italian (Dodecad) @ 0.89
16 73.1% Cornwall (1000 Genomes) + 26.9% Ashkenazy_Jews @ 0.9
17 77.6% Cornwall (1000 Genomes) + 22.4% Sephardic_Jews (Behar) @ 0.9
18 61.7% CEU30 (1000Genomes) + 38.3% Tuscan (HGDP) @ 0.9
19 77.3% Kent (1000 Genomes) + 22.7% Sephardic_Jews (Behar) @ 0.9
20 69% Mixed_Germanic (Dodecad) + 31% O_Italian (Dodecad) @ 0.91

Using 2 populations approximation:
1 50% Dutch_Dodecad +50% N_Italian_Dodecad @ 1.126541


Using 3 populations approximation:
1 50% British_Dodecad +25% Greek_Dodecad +25% French_Dodecad @ 0.772150


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++
1 German_Dodecad + C_Italian_Dodecad + Mixed_Germanic_Dodecad + French_HGDP @ 0.687963
2 British_Dodecad + Greek_Dodecad + French_Dodecad + Cornwall_1000 Genomes @ 0.754162
3 Greek_Dodecad + French_HGDP + Cornwall_1000 Genomes + Cornwall_1000 Genomes @ 0.762279
4 British_Dodecad + British_Dodecad + Greek_Dodecad + French_Dodecad @ 0.772150
5 British_Dodecad + Greek_Dodecad + French_Dodecad + CEU30_1000Genomes @ 0.781053
6 Ashkenazi_Dodecad + Mixed_Germanic_Dodecad + Kent_1000 Genomes + Cornwall_1000 Genomes @ 0.791239
7 British_Dodecad + Greek_Dodecad + French_Dodecad + Kent_1000 Genomes @ 0.792841
8 Ashkenazi_Dodecad + Mixed_Germanic_Dodecad + Cornwall_1000 Genomes + Cornwall_1000 Genomes @ 0.801641
9 C_Italian_Dodecad + Mixed_Germanic_Dodecad + Dutch_Dodecad + French_HGDP @ 0.804586
10 British_Dodecad + Greek_Dodecad + French_HGDP + Cornwall_1000 Genomes @ 0.810316
11 Greek_Dodecad + French_HGDP + Kent_1000 Genomes + Cornwall_1000 Genomes @ 0.812022
12 Greek_Dodecad + French_Dodecad + CEU30_1000Genomes + Kent_1000 Genomes @ 0.817271
13 Greek_Dodecad + French_Dodecad + Kent_1000 Genomes + Kent_1000 Genomes @ 0.818467
14 Polish_Dodecad + N_Italian_Dodecad + TSI30_Metspalu + Kent_1000 Genomes @ 0.826010
15 Greek_Dodecad + German_Dodecad + French_Dodecad + Cornwall_1000 Genomes @ 0.828027
16 Greek_Dodecad + French_HGDP + CEU30_1000Genomes + Cornwall_1000 Genomes @ 0.831322
17 Greek_Dodecad + French_Dodecad + CEU30_1000Genomes + Cornwall_1000 Genomes @ 0.834376
18 British_Dodecad + Bulgarian_Dodecad + North_Italian_HGDP + Cornwall_1000 Genomes @ 0.834378
19 British_Dodecad + Greek_Dodecad + French_HGDP + Kent_1000 Genomes @ 0.838112
20 Greek_Dodecad + British_Isles_Dodecad + French_HGDP + Cornwall_1000 Genomes @ 0.838649

Done.

msmarjoribanks
05-09-2018, 06:09 PM
That one thinks I am Kurdish.

# Population (source) Distance
1 Dutch (Dodecad) 2.91
2 Mixed_Germanic (Dodecad) 3.05
3 German (Dodecad) 3.36
4 Hungarians (Behar) 4.05
5 CEU30 (1000Genomes) 4.17

# Primary Population (source) Secondary Population (source) Distance
1 91.4% Orcadian (HGDP) + 8.6% Kurds (Yunusbayev) @ 0.49
2 91.5% Orcadian (HGDP) + 8.5% Kurd (Dodecad) @ 0.49
3 90.8% Orkney (1000 Genomes) + 9.2% Kurds (Yunusbayev) @ 0.55
4 91.5% Orcadian (HGDP) + 8.5% Uzbekistan_Jews @ 0.56
5 90.9% Orkney (1000 Genomes) + 9.1% Kurd (Dodecad) @ 0.56

JerryS.
05-09-2018, 08:12 PM
That one thinks I am Kurdish.

# Population (source) Distance
1 Dutch (Dodecad) 2.91
2 Mixed_Germanic (Dodecad) 3.05
3 German (Dodecad) 3.36
4 Hungarians (Behar) 4.05
5 CEU30 (1000Genomes) 4.17

# Primary Population (source) Secondary Population (source) Distance
1 91.4% Orcadian (HGDP) + 8.6% Kurds (Yunusbayev) @ 0.49
2 91.5% Orcadian (HGDP) + 8.5% Kurd (Dodecad) @ 0.49
3 90.8% Orkney (1000 Genomes) + 9.2% Kurds (Yunusbayev) @ 0.55
4 91.5% Orcadian (HGDP) + 8.5% Uzbekistan_Jews @ 0.56
5 90.9% Orkney (1000 Genomes) + 9.1% Kurd (Dodecad) @ 0.56

I don't know what your ethnicity make up is, but that does seem odd to give you Scottish primary and a consistent but small amount of Kurdish. what does your oracle 4 show? I know its not reliable for less than 25% ethnicities, just wondering.

JFWinstone
05-09-2018, 08:34 PM
My dad

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 76.71
2 Southern 12.52
3 Caucasus_Gedrosia 10.2
4 South_Asian 0.37
5 Amerindian 0.2

Single Population Sharing:

# Population (source) Distance
1 Cornwall (1000 Genomes) 1.07
2 Kent (1000 Genomes) 1.12
3 British_Isles (Dodecad) 1.41
4 British (Dodecad) 1.46
5 CEU30 (1000Genomes) 2.1
6 German (Dodecad) 2.69
7 Orcadian (HGDP) 2.95
8 Irish (Dodecad) 2.99
9 Dutch (Dodecad) 2.99
10 Orkney (1000 Genomes) 3.02
11 Mixed_Germanic (Dodecad) 3.15
12 Argyll (1000 Genomes) 3.65
13 Polish (Dodecad) 6.26
14 Norwegian (Dodecad) 6.77
15 Swedish (Dodecad) 7.49
16 Ukranians (Yunusbayev) 7.85
17 Belorussian (Behar) 8.16
18 French (HGDP) 8.65
19 Hungarians (Behar) 8.83
20 French (Dodecad) 9.16

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 80.3% Argyll (1000 Genomes) + 19.7% French_Basque @ 0.79
2 80.1% Argyll (1000 Genomes) + 19.9% Pais_Vasco (1000 Genomes) @ 0.81
3 97% British_Isles (Dodecad) + 3% Sardinian @ 0.81
4 93.6% British_Isles (Dodecad) + 6.4% Cantabria (1000 Genomes) @ 0.81
5 93.9% British_Isles (Dodecad) + 6.1% Aragon (1000 Genomes) @ 0.81
6 95.1% Kent (1000 Genomes) + 4.9% French_Basque @ 0.83
7 95.1% Kent (1000 Genomes) + 4.9% Pais_Vasco (1000 Genomes) @ 0.84
8 94% British_Isles (Dodecad) + 6% Valencia (1000 Genomes) @ 0.85
9 94.1% British_Isles (Dodecad) + 5.9% Spanish (Dodecad) @ 0.85
10 93.4% British_Isles (Dodecad) + 6.6% Cataluna (1000 Genomes) @ 0.85
11 89.1% British_Isles (Dodecad) + 10.9% French (Dodecad) @ 0.86
12 94.3% British_Isles (Dodecad) + 5.7% Spaniards (Behar) @ 0.87
13 94.8% British_Isles (Dodecad) + 5.2% Castilla_Y_Leon (1000 Genomes) @ 0.88
14 93% British_Isles (Dodecad) + 7% French_Basque @ 0.89
15 94.7% British_Isles (Dodecad) + 5.3% Castilla_La_Mancha (1000 Genomes) @ 0.89
16 92.9% British_Isles (Dodecad) + 7.1% Pais_Vasco (1000 Genomes) @ 0.89
17 95.1% British_Isles (Dodecad) + 4.9% Andalucia (1000 Genomes) @ 0.89
18 92.7% Orkney (1000 Genomes) + 7.3% Sardinian @ 0.9
19 83.4% Irish (Dodecad) + 16.6% Pais_Vasco (1000 Genomes) @ 0.9
20 94.9% British_Isles (Dodecad) + 5.1% Galicia (1000 Genomes) @ 0.91

Least-squares method.

Using 2 populations approximation:
1 50% British_Isles_Dodecad +50% Cornwall_1000 Genomes @ 1.050015

Using 3 populations approximation:
1 50% Irish_Dodecad +25% Lithuanians +25% Aragon_1000 Genomes @ 0.936996

Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++
1 Irish_Dodecad + Lithuanians + Kent_1000 Genomes + Cantabria_1000 Genomes @ 0.892044
2 Irish_Dodecad + Lithuanians + Cornwall_1000 Genomes + Cantabria_1000 Genomes @ 0.917890
3 Irish_Dodecad + Irish_Dodecad + Lithuanians + Aragon_1000 Genomes @ 0.936996
4 Orcadian_HGDP + Lithuanians + Kent_1000 Genomes + Cantabria_1000 Genomes @ 0.957180
5 Irish_Dodecad + Orcadian_HGDP + Lithuanians + Aragon_1000 Genomes @ 0.958735
6 Irish_Dodecad + British_Isles_Dodecad + Lithuanians + Aragon_1000 Genomes @ 0.968694
7 Lithuanians + Kent_1000 Genomes + Argyll_1000 Genomes + Cantabria_1000 Genomes @ 0.971095
8 Irish_Dodecad + British_Isles_Dodecad + Lithuanians + Cantabria_1000 Genomes @ 0.981366
9 French_Dodecad + Orkney_1000 Genomes + Orkney_1000 Genomes + Orkney_1000 Genomes @ 0.985422
10 Orcadian_HGDP + Lithuanians + Cornwall_1000 Genomes + Cantabria_1000 Genomes @ 0.989312
11 Irish_Dodecad + Lithuanians + Kent_1000 Genomes + Aragon_1000 Genomes @ 0.999174
12 Lithuanians + Cornwall_1000 Genomes + Argyll_1000 Genomes + Cantabria_1000 Genomes @ 1.003640
13 Lithuanians + Orkney_1000 Genomes + Kent_1000 Genomes + Cantabria_1000 Genomes @ 1.005209
14 Dutch_Dodecad + Dutch_Dodecad + French_Basque + Lithuanians @ 1.006641
15 Dutch_Dodecad + Dutch_Dodecad + Lithuanians + Pais_Vasco_1000 Genomes @ 1.009044
16 French_Dodecad + Norwegian_Dodecad + Orkney_1000 Genomes + Cornwall_1000 Genomes @ 1.010274
17 British_Isles_Dodecad + Orcadian_HGDP + Lithuanians + Aragon_1000 Genomes @ 1.014930
18 British_Isles_Dodecad + Lithuanians + Argyll_1000 Genomes + Cantabria_1000 Genomes @ 1.015441
19 Irish_Dodecad + Lithuanians + Orkney_1000 Genomes + Aragon_1000 Genomes @ 1.015981
20 British_Isles_Dodecad + Kent_1000 Genomes + Cornwall_1000 Genomes + Cornwall_1000 Genomes @ 1.018373

msmarjoribanks
05-13-2018, 12:56 PM
I don't know what your ethnicity make up is, but that does seem odd to give you Scottish primary and a consistent but small amount of Kurdish. what does your oracle 4 show? I know its not reliable for less than 25% ethnicities, just wondering.

Using 2 populations approximation:
1 50% Hungarians_Behar +50% Argyll_1000 Genomes @ 1.405721

Using 3 populations approximation:
1 50% Orcadian_HGDP +25% Belorussian_Behar +25% Bulgarians_Yunusbayev @ 0.918436

4 population, Top 5:

1 Bulgarian_Dodecad + Lithuanian_Dodecad + CEU30_1000Genomes + CEU30_1000Genomes @ 0.763767
2 C_Italian_Dodecad + Lithuanian_Dodecad + Lithuanian_Dodecad + CEU30_1000Genomes @ 0.822356
3 German_Dodecad + Lithuanians + Romanians_Behar + Cornwall_1000 Genomes @ 0.825993
4 German_Dodecad + Lithuanian_Dodecad + Romanians_Behar + Cornwall_1000 Genomes @ 0.839530
5 German_Dodecad + Lithuanian_Dodecad + Romanians_Behar + Kent_1000 Genomes @ 0.843113

msmarjoribanks
05-13-2018, 01:20 PM
And here are my parents (regular oracle again).

Dad (mostly English and Welsh, some German, French, Dutch -- note: my dad's family is really strongly colonial US and mostly English (largely Quakers, good records) for the most part, but with some recent (1840s and 1870s) immigrants from England and Wales on one line, combination of really rural areas unlikely to have lots of European mixing and the London area (but that family was hardcore non-conformist Calvinist and seemed to marry only within the community -- my unknown ancestors mixed with the UK ones in the British Isles or in 1700s US, so that limits things -- the French ancestors are a wildcard but they came to the US before 1810, so can't have been that strong an influence on his ancestry given percentages). Point being I am pretty confident he is not some significant but previously unknown percentage Greek or Italian:

# Population (source) Distance
1 Mixed_Germanic (Dodecad) 1.96
2 Dutch (Dodecad) 3.01
3 German (Dodecad) 3.52
4 Cornwall (1000 Genomes) 4.08
5 CEU30 (1000Genomes) 4.11

# Primary Population (source) Secondary Population (source) Distance
1 93.4% Kent (1000 Genomes) + 6.6% Cypriots (Behar) @ 0.66
2 89.9% Kent (1000 Genomes) + 10.1% Greek (Dodecad) @ 0.67
3 74.7% Irish (Dodecad) + 25.3% N_Italian (Dodecad) @ 0.69
4 94.8% Kent (1000 Genomes) + 5.2% Samaritians (Behar) @ 0.72
5 94.3% Kent (1000 Genomes) + 5.7% Druze (HGDP) @ 0.74

Mom (largely Swedish, German, Scots-Irish, English -- there's a lot more unknown here, but biggest questions are the mixes within the Swedish and German components -- the Swedish came to the US in the 1880s, but a Swedish cousin said they were partially German from German immigration to Sweden, and the other Germans I know nothing about except they were in the US in the 1700s, the only post-late 1700s immigrant ancestors in this line were from Ireland and then the Swedish ones):

# Population (source) Distance
1 Dutch (Dodecad) 3.08
2 German (Dodecad) 3.43
3 Mixed_Germanic (Dodecad) 3.69
4 CEU30 (1000Genomes) 4.11
5 Ukranians (Yunusbayev) 4.31

# Primary Population (source) Secondary Population (source) Distance
1 93.4% Argyll (1000 Genomes) + 6.6% Iranians (Behar) @ 0.77
2 95.8% German (Dodecad) + 4.2% Kalash @ 0.77
3 92% Orcadian (HGDP) + 8% Iranian (Dodecad) @ 0.88
4 93.2% Argyll (1000 Genomes) + 6.8% Iranian (Dodecad) @ 0.88
5 93.4% Argyll (1000 Genomes) + 6.6% Kurd (Dodecad) @ 0.92

cvolt
05-13-2018, 01:50 PM
Thinks I'm Brazilian lol

Using 2 populations approximation:
1 50% Brazilian_Dodecad +50% Lithuanians @ 3.798366


Using 3 populations approximation:
1 50% Irish_Dodecad +25% Brazilian_Dodecad +25% Ukranians_Yunusbayev @ 2.716789


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++
1 Polish_Dodecad + German_Dodecad + Brazilian_Dodecad + Argyll_1000 Genomes @ 2.699992
2 Irish_Dodecad + Brazilian_Dodecad + Orcadian_HGDP + Ukranians_Yunusbayev @ 2.704306
3 Irish_Dodecad + Irish_Dodecad + Brazilian_Dodecad + Ukranians_Yunusbayev @ 2.716789
4 Irish_Dodecad + Polish_Dodecad + German_Dodecad + Brazilian_Dodecad @ 2.720814
5 Brazilian_Dodecad + Orcadian_HGDP + Orcadian_HGDP + Ukranians_Yunusbayev @ 2.724679
6 Brazilian_Dodecad + Orcadian_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 2.727932
7 Polish_Dodecad + German_Dodecad + Brazilian_Dodecad + Orcadian_HGDP @ 2.728151
8 German_Dodecad + Brazilian_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes @ 2.731636
9 German_Dodecad + German_Dodecad + Brazilian_Dodecad + Belorussian_Behar @ 2.734527
10 Brazilian_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes + Argyll_1000 Genomes @ 2.734899
11 German_Dodecad + Brazilian_Dodecad + Belorussian_Behar + Argyll_1000 Genomes @ 2.756903
12 Irish_Dodecad + Brazilian_Dodecad + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 2.758724
13 Polish_Dodecad + Dutch_Dodecad + Brazilian_Dodecad + Argyll_1000 Genomes @ 2.773115
14 Brazilian_Dodecad + Lithuanian_Dodecad + Hungarians_Behar + Kent_1000 Genomes @ 2.776491
15 Brazilian_Dodecad + Hungarians_Behar + Lithuanians + Kent_1000 Genomes @ 2.776648
16 Irish_Dodecad + German_Dodecad + Brazilian_Dodecad + Belorussian_Behar @ 2.777388
17 Brazilian_Dodecad + Hungarians_Behar + Lithuanians + Cornwall_1000 Genomes @ 2.780573
18 Irish_Dodecad + Brazilian_Dodecad + Orkney_1000 Genomes + Ukranians_Yunusbayev @ 2.782367
19 Irish_Dodecad + Polish_Dodecad + Dutch_Dodecad + Brazilian_Dodecad @ 2.786084
20 Brazilian_Dodecad + Lithuanian_Dodecad + Hungarians_Behar + Cornwall_1000 Genomes @ 2.788021

JerryS.
05-13-2018, 07:36 PM
Thinks I'm Brazilian lol

Using 2 populations approximation:
1 50% Brazilian_Dodecad +50% Lithuanians @ 3.798366


Using 3 populations approximation:
1 50% Irish_Dodecad +25% Brazilian_Dodecad +25% Ukranians_Yunusbayev @ 2.716789


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++
1 Polish_Dodecad + German_Dodecad + Brazilian_Dodecad + Argyll_1000 Genomes @ 2.699992
2 Irish_Dodecad + Brazilian_Dodecad + Orcadian_HGDP + Ukranians_Yunusbayev @ 2.704306
3 Irish_Dodecad + Irish_Dodecad + Brazilian_Dodecad + Ukranians_Yunusbayev @ 2.716789
4 Irish_Dodecad + Polish_Dodecad + German_Dodecad + Brazilian_Dodecad @ 2.720814
5 Brazilian_Dodecad + Orcadian_HGDP + Orcadian_HGDP + Ukranians_Yunusbayev @ 2.724679
6 Brazilian_Dodecad + Orcadian_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 2.727932
7 Polish_Dodecad + German_Dodecad + Brazilian_Dodecad + Orcadian_HGDP @ 2.728151
8 German_Dodecad + Brazilian_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes @ 2.731636
9 German_Dodecad + German_Dodecad + Brazilian_Dodecad + Belorussian_Behar @ 2.734527
10 Brazilian_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes + Argyll_1000 Genomes @ 2.734899
11 German_Dodecad + Brazilian_Dodecad + Belorussian_Behar + Argyll_1000 Genomes @ 2.756903
12 Irish_Dodecad + Brazilian_Dodecad + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 2.758724
13 Polish_Dodecad + Dutch_Dodecad + Brazilian_Dodecad + Argyll_1000 Genomes @ 2.773115
14 Brazilian_Dodecad + Lithuanian_Dodecad + Hungarians_Behar + Kent_1000 Genomes @ 2.776491
15 Brazilian_Dodecad + Hungarians_Behar + Lithuanians + Kent_1000 Genomes @ 2.776648
16 Irish_Dodecad + German_Dodecad + Brazilian_Dodecad + Belorussian_Behar @ 2.777388
17 Brazilian_Dodecad + Hungarians_Behar + Lithuanians + Cornwall_1000 Genomes @ 2.780573
18 Irish_Dodecad + Brazilian_Dodecad + Orkney_1000 Genomes + Ukranians_Yunusbayev @ 2.782367
19 Irish_Dodecad + Polish_Dodecad + Dutch_Dodecad + Brazilian_Dodecad @ 2.786084
20 Brazilian_Dodecad + Lithuanian_Dodecad + Hungarians_Behar + Cornwall_1000 Genomes @ 2.788021

No? What gives you that reading?

jortita
05-14-2018, 02:19 AM
Updated Living DNA

Admix Results (sorted):

# Population Percent
1 South_Asian 44.96
2 Caucasus_Gedrosia 22.86
3 East_Asian 16.76
4 Atlantic_Baltic 6.97
5 Australasian 2.91
6 Siberian 2.85
7 Southern 1.87
8 Amerindian 0.81

Single Population Sharing:

# Population (source) Distance
1 Cochin_Jews (Behar) 19.22
2 Brahmins_from_Uttar_Pradesh (Metspalu) 19.93
3 Kshatriya (Metspalu) 19.96
4 Indian (Dodecad) 20.29
5 Tharus (Metspalu) 20.36
6 Muslim (Metspalu) 21.11
7 Dharkars (Metspalu) 21.69
8 Brahmins_from_Tamil_Nadu (Metspalu) 21.72
9 INS30 (SGVP) 22.1
10 GIH30 (Dodecad) 22.66
11 Kanjars (Metspalu) 23.52
12 Gond (Metspalu) 23.67
13 Kol (Metspalu) 23.68
14 Uttar_Pradesh_Scheduled_Caste (Metspalu) 23.93
15 Dusadh (Metspalu) 24.23
16 Chenchus (Metspalu) 24.85
17 Velamas (Metspalu) 25.2
18 Tamil_Nadu_Scheduled_Caste (Metspalu) 25.22
19 Bnei_Menashe_Jews 25.3
20 Burusho (HGDP) 25.42

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 66.6% Kshatriya (Metspalu) + 33.4% PANIYA @ 3.12
2 66.6% Brahmins_from_Uttar_Pradesh (Metspalu) + 33.4% PANIYA @ 3.19
3 54.9% Burusho (HGDP) + 45.1% Juang (Chaubey) @ 3.24
4 55.1% Burusho (HGDP) + 44.9% BONDA (Chaubey) @ 3.4
5 65.7% Kshatriya (Metspalu) + 34.3% Khasi (Chaubey) @ 3.54
6 50.8% Pathan (HGDP) + 49.2% Juang (Chaubey) @ 3.77
7 51% Pathan (HGDP) + 49% BONDA (Chaubey) @ 3.85
8 65.8% Brahmins_from_Uttar_Pradesh (Metspalu) + 34.2% Khasi (Chaubey) @ 3.95
9 66.3% Indian (Dodecad) + 33.7% PANIYA @ 3.95
10 74.2% Kshatriya (Metspalu) + 25.8% Garo (Chaubey) @ 4.05
11 65.5% Indian (Dodecad) + 34.5% Khasi (Chaubey) @ 4.33
12 78.7% Tharus (Metspalu) + 21.3% Yizu (HGDP) @ 4.51
13 72.9% Tharus (Metspalu) + 27.1% Burmanese (Chaubey) @ 4.52
14 73.3% Kshatriya (Metspalu) + 26.7% Burmanese (Chaubey) @ 4.54
15 54.5% Savara (Chaubey) + 45.5% Tajiks (Yunusbayev) @ 4.58
16 78.6% Tharus (Metspalu) + 21.4% Naxi (HGDP) @ 4.6
17 54.2% Ho (Chaubey) + 45.8% Tajiks (Yunusbayev) @ 4.6
18 79.7% Tharus (Metspalu) + 20.3% CHB30 (Metspalu) @ 4.66
19 55.6% Burusho (HGDP) + 44.4% Kharia (Chaubey) @ 4.66
20 79.8% Tharus (Metspalu) + 20.2% Chinese (Dodecad) @ 4.69

Using 2 populations approximation:
1 50% Pathan_HGDP +50% Juang_Chaubey @ 4.154963


Using 3 populations approximation:
1 50% Burusho_HGDP +25% MALAYAN_Behar +25% PANIYA @ 2.801521


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++
1 PANIYA + Tajiks_Yunusbayev + Gond_Metspalu + Kanjars_Metspalu @ 1.103946
2 PANIYA + Tajiks_Yunusbayev + Gond_Metspalu + Uttar_Pradesh_Scheduled_Caste_Metspalu @ 1.300032
3 PANIYA + Tajiks_Yunusbayev + Dharkars_Metspalu + Gond_Metspalu @ 1.380902
4 GIH30_Dodecad + PANIYA + Tajiks_Yunusbayev + Nihali_Metspalu @ 1.455775
5 PANIYA + Tajiks_Yunusbayev + Gond_Metspalu + Muslim_Metspalu @ 1.494462
6 PANIYA + Tajiks_Yunusbayev + Dusadh_Metspalu + Gond_Metspalu @ 1.574913
7 Burusho_HGDP + Tajiks_Yunusbayev + Savara_Chaubey + Gadaba_Chaubey @ 1.589077
8 Burusho_HGDP + Tajiks_Yunusbayev + Gadaba_Chaubey + Kharia_Chaubey @ 1.599942
9 PANIYA + INS30_SGVP + Tajiks_Yunusbayev + Gond_Metspalu @ 1.604184
10 PANIYA + Tajiks_Yunusbayev + Chenchus_Metspalu + Kol_Metspalu @ 1.610234
11 PANIYA + Tajiks_Yunusbayev + Gond_Metspalu + Kurumba_Metspalu @ 1.642757
12 Burusho_HGDP + Tajiks_Yunusbayev + Ho_Chaubey + Gadaba_Chaubey @ 1.688829
13 PANIYA + Tajiks_Yunusbayev + Kol_Metspalu + Kol_Metspalu @ 1.711900
14 Burusho_HGDP + Tajiks_Yunusbayev + Ho_Chaubey + Juang_Chaubey @ 1.735734
15 PANIYA + Tajiks_Yunusbayev + Gond_Metspalu + Tamil_Nadu_Scheduled_Caste_Metspalu @ 1.765820
16 PANIYA + Tajiks_Yunusbayev + Gond_Metspalu + Kurmi_Metspalu @ 1.767314
17 Burusho_HGDP + Tajiks_Yunusbayev + Mawasi_Chaubey + Juang_Chaubey @ 1.778347
18 PANIYA + Tajiks_Yunusbayev + Gond_Metspalu + Kol_Metspalu @ 1.790028
19 Burusho_HGDP + Tajiks_Yunusbayev + Juang_Chaubey + Dhurwa_Metspalu @ 1.797705
20 PANIYA + Tajiks_Yunusbayev + Chenchus_Metspalu + Uttar_Pradesh_Scheduled_Caste_Metspalu @ 1.818991

Updated Ancestry DNA

Admix Results (sorted):

# Population Percent
1 South_Asian 44.04
2 Caucasus_Gedrosia 24.31
3 East_Asian 15.89
4 Atlantic_Baltic 5.54
5 Southern 3.63
6 Siberian 3.24
7 Australasian 2.06
8 Amerindian 1.3

Single Population Sharing:

# Population (source) Distance
1 Cochin_Jews (Behar) 17.43
2 Indian (Dodecad) 19.21
3 Brahmins_from_Uttar_Pradesh (Metspalu) 19.26
4 Kshatriya (Metspalu) 19.28
5 Tharus (Metspalu) 19.99
6 Brahmins_from_Tamil_Nadu (Metspalu) 20.68
7 Muslim (Metspalu) 20.83
8 Dharkars (Metspalu) 21.47
9 INS30 (SGVP) 21.62
10 GIH30 (Dodecad) 21.8
11 Bnei_Menashe_Jews 22.91
12 Kanjars (Metspalu) 23.44
13 Burusho (HGDP) 23.74
14 Kol (Metspalu) 23.78
15 Uttar_Pradesh_Scheduled_Caste (Metspalu) 23.88
16 Dusadh (Metspalu) 24.25
17 Gond (Metspalu) 24.61
18 Velamas (Metspalu) 24.75
19 Tamil_Nadu_Scheduled_Caste (Metspalu) 24.95
20 Chenchus (Metspalu) 25.08

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 57.9% Burusho (HGDP) + 42.1% Juang (Chaubey) @ 3.29
2 58.1% Burusho (HGDP) + 41.9% BONDA (Chaubey) @ 3.38
3 53.7% Pathan (HGDP) + 46.3% Juang (Chaubey) @ 3.55
4 53.8% Pathan (HGDP) + 46.2% BONDA (Chaubey) @ 3.56
5 67.2% Indian (Dodecad) + 32.8% Khasi (Chaubey) @ 3.93
6 75.1% Kshatriya (Metspalu) + 24.9% Garo (Chaubey) @ 4.19
7 75.2% Indian (Dodecad) + 24.8% Garo (Chaubey) @ 4.28
8 69.5% Cochin_Jews (Behar) + 30.5% Khasi (Chaubey) @ 4.31
9 74.2% Kshatriya (Metspalu) + 25.8% Burmanese (Chaubey) @ 4.35
10 67.3% Kshatriya (Metspalu) + 32.7% Khasi (Chaubey) @ 4.43
11 58.6% Burusho (HGDP) + 41.4% Kharia (Chaubey) @ 4.5
12 68.4% Indian (Dodecad) + 31.6% PANIYA @ 4.5
13 58.8% Burusho (HGDP) + 41.2% Savara (Chaubey) @ 4.68
14 77.6% Tharus (Metspalu) + 22.4% Tu (HGDP) @ 4.75
15 67.4% Brahmins_from_Uttar_Pradesh (Metspalu) + 32.6% Khasi (Chaubey) @ 4.77
16 74.4% Indian (Dodecad) + 25.6% Burmanese (Chaubey) @ 4.79
17 79.2% Tharus (Metspalu) + 20.8% Yizu (HGDP) @ 4.85
18 79.1% Tharus (Metspalu) + 20.9% Naxi (HGDP) @ 4.91
19 78.7% Tharus (Metspalu) + 21.3% Naga (Metspalu) @ 4.97
20 68.4% Kshatriya (Metspalu) + 31.6% PANIYA @ 4.99

Using 2 populations approximation:
1 50% Pathan_HGDP +50% Juang_Chaubey @ 4.656007


Using 3 populations approximation:
1 50% Pathan_HGDP +25% Malayan_Chaubey +25% Burmanese_Chaubey @ 2.290781


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++
1 PANIYA + Turkmens_Yunusbayev + Kanjars_Metspalu + Kol_Metspalu @ 1.622767
2 PANIYA + Turkmens_Yunusbayev + Kol_Metspalu + Uttar_Pradesh_Scheduled_Caste_Metspalu @ 1.625997
3 PANIYA + INS30_SGVP + Tajiks_Yunusbayev + Chenchus_Metspalu @ 1.664072
4 Tajiks_Yunusbayev + Khasi_Chaubey + Chenchus_Metspalu + Tamil_Nadu_Scheduled_Caste_Metspalu @ 1.681098
5 PANIYA + Turkmens_Yunusbayev + Chamar_Metspalu + Muslim_Metspalu @ 1.691268
6 PANIYA + Turkmens_Yunusbayev + Uttar_Pradesh_Scheduled_Caste_Metspalu + Uttar_Pradesh_Scheduled_Caste_Metspalu @ 1.700293
7 Tajiks_Yunusbayev + Khasi_Chaubey + Bengali_Metspalu + Hakkipikki_Metspalu @ 1.746471
8 PANIYA + Turkmens_Yunusbayev + Dusadh_Metspalu + Uttar_Pradesh_Scheduled_Caste_Metspalu @ 1.761932
9 PANIYA + Tajiks_Yunusbayev + Chenchus_Metspalu + Lambadi_Metspalu @ 1.773482
10 PANIYA + Turkmens_Yunusbayev + Chamar_Metspalu + Tharus_Metspalu @ 1.793154
11 Turkmens_Yunusbayev + Khasi_Chaubey + Chamar_Metspalu + Kurmi_Metspalu @ 1.802052
12 PANIYA + Turkmens_Yunusbayev + Chamar_Metspalu + Kurmi_Metspalu @ 1.802898
13 PANIYA + Tajiks_Yunusbayev + Chamar_Metspalu + Lambadi_Metspalu @ 1.813227
14 PANIYA + Turkmens_Yunusbayev + Kol_Metspalu + Kol_Metspalu @ 1.816452
15 PANIYA + Tajiks_Yunusbayev + Chenchus_Metspalu + Dharkars_Metspalu @ 1.818993
16 North_Kannadi + PANIYA + Tajiks_Yunusbayev + Lambadi_Metspalu @ 1.828277
17 North_Kannadi + Turkmens_Yunusbayev + Khasi_Chaubey + Kurmi_Metspalu @ 1.829034
18 PANIYA + Tajiks_Yunusbayev + Kol_Metspalu + Tamil_Nadu_Scheduled_Caste_Metspalu @ 1.833735
19 PANIYA + Turkmens_Yunusbayev + Chamar_Metspalu + Dharkars_Metspalu @ 1.837669
20 PANIYA + Tajiks_Yunusbayev + Chenchus_Metspalu + Muslim_Metspalu @ 1.841525

jortita
05-14-2018, 04:03 AM
Updated Geno 2.0 converted to FTDNA

Admix Results (sorted):

# Population Percent
1 South_Asian 41.22
2 Caucasus_Gedrosia 26.4
3 East_Asian 20.09
4 Southern 3.86
5 Atlantic_Baltic 3.74
6 Siberian 2.5
7 Australasian 2.2

Single Population Sharing:

# Population (source) Distance
1 Cochin_Jews (Behar) 20.39
2 Indian (Dodecad) 22.34
3 Brahmins_from_Uttar_Pradesh (Metspalu) 22.82
4 Kshatriya (Metspalu) 22.98
5 Burusho (HGDP) 23.68
6 Brahmins_from_Tamil_Nadu (Metspalu) 23.83
7 Tharus (Metspalu) 23.99
8 Bnei_Menashe_Jews 24.39
9 Muslim (Metspalu) 24.88
10 GIH30 (Dodecad) 25.03
11 INS30 (SGVP) 25.39
12 Dharkars (Metspalu) 25.58
13 Sindhi (HGDP) 26.66
14 Kanjars (Metspalu) 27.58
15 Kol (Metspalu) 27.8
16 Uttar_Pradesh_Scheduled_Caste (Metspalu) 27.96
17 Dusadh (Metspalu) 28.11
18 Velamas (Metspalu) 28.14
19 Gond (Metspalu) 28.47
20 Tamil_Nadu_Scheduled_Caste (Metspalu) 28.57

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 69.7% Indian (Dodecad) + 30.3% Burmanese (Chaubey) @ 3.55
2 71.6% Cochin_Jews (Behar) + 28.4% Burmanese (Chaubey) @ 3.69
3 74.1% Indian (Dodecad) + 25.9% MAS30 (SGVP) @ 3.72
4 70.9% Indian (Dodecad) + 29.1% Garo (Chaubey) @ 3.74
5 75.9% Cochin_Jews (Behar) + 24.1% MAS30 (SGVP) @ 3.92
6 75% Indian (Dodecad) + 25% Cambodians (HGDP) @ 3.94
7 72.8% Brahmins_from_Tamil_Nadu (Metspalu) + 27.2% MAS30 (SGVP) @ 3.99
8 79.5% Cochin_Jews (Behar) + 20.5% CHD30 (Metspalu) @ 4.1
9 79.5% Cochin_Jews (Behar) + 20.5% Tujia (HGDP) @ 4.1
10 79.9% Cochin_Jews (Behar) + 20.1% Miaozu @ 4.1
11 77.8% Indian (Dodecad) + 22.2% Lahu @ 4.11
12 76.8% Cochin_Jews (Behar) + 23.2% Cambodians (HGDP) @ 4.11
13 79.5% Cochin_Jews (Behar) + 20.5% Han (HGDP) @ 4.12
14 79.4% Cochin_Jews (Behar) + 20.6% Lahu @ 4.12
15 80% Cochin_Jews (Behar) + 20% CHS30 (SGVP) @ 4.12
16 80.1% Cochin_Jews (Behar) + 19.9% She (HGDP) @ 4.16
17 78.3% Indian (Dodecad) + 21.7% Miaozu @ 4.2
18 78% Indian (Dodecad) + 22% Tujia (HGDP) @ 4.21
19 77.9% Indian (Dodecad) + 22.1% Han (HGDP) @ 4.21
20 72.9% Cochin_Jews (Behar) + 27.1% Garo (Chaubey) @ 4.21

Using 2 populations approximation:
1 50% Balochi_HGDP +50% BONDA_Chaubey @ 6.902569


Using 3 populations approximation:
1 50% Indian_Dodecad +25% Cochin_Jews_Behar +25% MAS30_SGVP @ 2.522801


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++
1 Kalash + Bnei_Menashe_Jews + Kharia_Chaubey + Khasi_Chaubey @ 1.367179
2 Kalash + Bnei_Menashe_Jews + Savara_Chaubey + Khasi_Chaubey @ 1.383268
3 Kalash + Bnei_Menashe_Jews + Gadaba_Chaubey + Khasi_Chaubey @ 1.460275
4 Balochi_HGDP + Burusho_HGDP + Khasi_Chaubey + Dhurwa_Metspalu @ 1.591742
5 Kalash + Bnei_Menashe_Jews + Ho_Chaubey + Khasi_Chaubey @ 1.712767
6 Balochi_HGDP + Burusho_HGDP + Khasi_Chaubey + Bhunjia_Metspalu @ 1.722856
7 Brahui_HGDP + Burusho_HGDP + Khasi_Chaubey + Dhurwa_Metspalu @ 1.909738
8 Brahui_HGDP + ASUR_Chaubey + Burmanese_Chaubey + Brahmins_from_Uttar_Pradesh_Metspalu @ 1.956993
9 Balochi_HGDP + Burusho_HGDP + Ho_Chaubey + Khasi_Chaubey @ 1.970945
10 Kalash + Bnei_Menashe_Jews + Juang_Chaubey + Khasi_Chaubey @ 1.976063
11 Brahui_HGDP + Burusho_HGDP + Khasi_Chaubey + Bhunjia_Metspalu @ 1.978473
12 Pathan_HGDP + Cochin_Jews_Behar + MAS30_SGVP + Chenchus_Metspalu @ 2.028563
13 Balochi_HGDP + Burusho_HGDP + Mawasi_Chaubey + Khasi_Chaubey @ 2.039964
14 Kalash + Bnei_Menashe_Jews + BONDA_Chaubey + Khasi_Chaubey @ 2.055293
15 Balochi_HGDP + PANIYA + Brahmins_from_Uttaranchal_Metspalu + Gond_Metspalu @ 2.091124
16 Balochi_HGDP + Pathan_HGDP + MAS30_SGVP + Malayan_Chaubey @ 2.108856
17 Balochi_HGDP + Pathan_HGDP + MALAYAN_Behar + MAS30_SGVP @ 2.109792
18 Bnei_Menashe_Jews + MAS30_SGVP + Brahmins_from_Tamil_Nadu_Metspalu + Tharus_Metspalu @ 2.140821
19 Pathan_HGDP + Cochin_Jews_Behar + MAS30_SGVP + Piramalai_Kallars_Metspalu @ 2.147253
20 Pathan_HGDP + Sindhi_HGDP + MAS30_SGVP + Pulliyar_Metspalu @ 2.163224

Updated MyHeritage DNA

Admix Results (sorted):

# Population Percent
1 South_Asian 41.11
2 Caucasus_Gedrosia 27.65
3 East_Asian 19.91
4 Southern 4.47
5 Australasian 2.58
6 Siberian 2.41
7 Atlantic_Baltic 1.87

Single Population Sharing:

# Population (source) Distance
1 Cochin_Jews (Behar) 19.88
2 Indian (Dodecad) 22.18
3 Brahmins_from_Uttar_Pradesh (Metspalu) 23.09
4 Kshatriya (Metspalu) 23.12
5 Burusho (HGDP) 23.28
6 Brahmins_from_Tamil_Nadu (Metspalu) 23.55
7 Bnei_Menashe_Jews 23.64
8 Tharus (Metspalu) 24.13
9 GIH30 (Dodecad) 24.77
10 Muslim (Metspalu) 24.99
11 INS30 (SGVP) 25.3
12 Dharkars (Metspalu) 25.72
13 Sindhi (HGDP) 25.96
14 Kanjars (Metspalu) 27.73
15 Velamas (Metspalu) 27.88
16 Kol (Metspalu) 27.94
17 Uttar_Pradesh_Scheduled_Caste (Metspalu) 28.08
18 Dusadh (Metspalu) 28.16
19 Pathan (HGDP) 28.17
20 Tamil_Nadu_Scheduled_Caste (Metspalu) 28.41

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 80.3% Cochin_Jews (Behar) + 19.7% Miaozu @ 3.77
2 80.4% Cochin_Jews (Behar) + 19.6% CHS30 (SGVP) @ 3.78
3 76.5% Cochin_Jews (Behar) + 23.5% MAS30 (SGVP) @ 3.8
4 80% Cochin_Jews (Behar) + 20% CHD30 (Metspalu) @ 3.8
5 80% Cochin_Jews (Behar) + 20% Tujia (HGDP) @ 3.81
6 79.9% Cochin_Jews (Behar) + 20.1% Lahu @ 3.81
7 72.4% Cochin_Jews (Behar) + 27.6% Burmanese (Chaubey) @ 3.81
8 80% Cochin_Jews (Behar) + 20% Han (HGDP) @ 3.82
9 80.5% Cochin_Jews (Behar) + 19.5% She (HGDP) @ 3.82
10 79.5% Cochin_Jews (Behar) + 20.5% Chinese (Dodecad) @ 4.01
11 80.4% Cochin_Jews (Behar) + 19.6% KHV30 (1000Genomes) @ 4.03
12 79.4% Cochin_Jews (Behar) + 20.6% CHB30 (Metspalu) @ 4.03
13 77.4% Cochin_Jews (Behar) + 22.6% Cambodians (HGDP) @ 4.06
14 80.9% Cochin_Jews (Behar) + 19.1% Dai (HGDP) @ 4.12
15 81% Cochin_Jews (Behar) + 19% CDX30 (1000Genomes) @ 4.12
16 78.5% Cochin_Jews (Behar) + 21.5% Yizu (HGDP) @ 4.31
17 73.6% Cochin_Jews (Behar) + 26.4% Garo (Chaubey) @ 4.45
18 78.4% Cochin_Jews (Behar) + 21.6% Naxi (HGDP) @ 4.47
19 73.3% Brahmins_from_Tamil_Nadu (Metspalu) + 26.7% MAS30 (SGVP) @ 4.76
20 77.6% Brahmins_from_Tamil_Nadu (Metspalu) + 22.4% Miaozu @ 4.86

Using 2 populations approximation:
1 50% Brahui_HGDP +50% BONDA_Chaubey @ 5.879362


Using 3 populations approximation:
1 50% GIH30_Dodecad +25% Bnei_Menashe_Jews +25% MAS30_SGVP @ 2.712885


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++
1 Balochi_HGDP + PANIYA + Brahmins_from_Uttaranchal_Metspalu + Chenchus_Metspalu @ 2.107222
2 Balochi_HGDP + Sindhi_HGDP + Savara_Chaubey + Khasi_Chaubey @ 2.118282
3 Balochi_HGDP + Sindhi_HGDP + Kharia_Chaubey + Khasi_Chaubey @ 2.149556
4 Brahui_HGDP + Sindhi_HGDP + Savara_Chaubey + Khasi_Chaubey @ 2.188588
5 Balochi_HGDP + Cochin_Jews_Behar + Burmanese_Chaubey + Gond_Metspalu @ 2.197384
6 Balochi_HGDP + Sindhi_HGDP + Gadaba_Chaubey + Khasi_Chaubey @ 2.219939
7 Brahui_HGDP + PANIYA + Brahmins_from_Uttaranchal_Metspalu + Chenchus_Metspalu @ 2.227869
8 Brahui_HGDP + Sindhi_HGDP + Kharia_Chaubey + Khasi_Chaubey @ 2.249858
9 Balochi_HGDP + Cochin_Jews_Behar + Garo_Chaubey + Gond_Metspalu @ 2.278120
10 Brahui_HGDP + Cochin_Jews_Behar + Garo_Chaubey + Gond_Metspalu @ 2.295257
11 Kalash + Bnei_Menashe_Jews + Savara_Chaubey + Khasi_Chaubey @ 2.349195
12 Balochi_HGDP + Sindhi_HGDP + Ho_Chaubey + Khasi_Chaubey @ 2.353509
13 Brahui_HGDP + Cochin_Jews_Behar + Burmanese_Chaubey + Gond_Metspalu @ 2.355970
14 Brahui_HGDP + Sindhi_HGDP + Ho_Chaubey + Khasi_Chaubey @ 2.366591
15 Kalash + Bnei_Menashe_Jews + Kharia_Chaubey + Khasi_Chaubey @ 2.367527
16 Bnei_Menashe_Jews + MAS30_SGVP + Brahmins_from_Tamil_Nadu_Metspalu + Brahmins_from_Tamil_Nadu_Metspalu @ 2.372534
17 Kalash + Bnei_Menashe_Jews + Gadaba_Chaubey + Khasi_Chaubey @ 2.378733
18 Balochi_HGDP + Cochin_Jews_Behar + North_Kannadi + MAS30_SGVP @ 2.429170
19 Brahui_HGDP + Burusho_HGDP + Khasi_Chaubey + Dhurwa_Metspalu @ 2.455519
20 GIH30_Dodecad + Bnei_Menashe_Jews + MAS30_SGVP + Brahmins_from_Tamil_Nadu_Metspalu @ 2.456158

Idwaajeden
05-24-2018, 09:26 PM
1 90% Ukranians (Yunusbayev) + 10% Spanish (Dodecad) @ 0.65
2 91% Ukranians (Yunusbayev) + 9% Portuguese (Dodecad) @ 0.72
3 89.3% Belorussian (Behar) + 10.7 Morocco Jews (Behar) @ 0.78

JerryS.
05-24-2018, 09:48 PM
And here are my parents (regular oracle again).

Dad (mostly English and Welsh, some German, French, Dutch -- note: my dad's family is really strongly colonial US and mostly English (largely Quakers, good records) for the most part, but with some recent (1840s and 1870s) immigrants from England and Wales on one line, combination of really rural areas unlikely to have lots of European mixing and the London area (but that family was hardcore non-conformist Calvinist and seemed to marry only within the community -- my unknown ancestors mixed with the UK ones in the British Isles or in 1700s US, so that limits things -- the French ancestors are a wildcard but they came to the US before 1810, so can't have been that strong an influence on his ancestry given percentages). Point being I am pretty confident he is not some significant but previously unknown percentage Greek or Italian:

# Population (source) Distance
1 Mixed_Germanic (Dodecad) 1.96
2 Dutch (Dodecad) 3.01
3 German (Dodecad) 3.52
4 Cornwall (1000 Genomes) 4.08
5 CEU30 (1000Genomes) 4.11

# Primary Population (source) Secondary Population (source) Distance
1 93.4% Kent (1000 Genomes) + 6.6% Cypriots (Behar) @ 0.66
2 89.9% Kent (1000 Genomes) + 10.1% Greek (Dodecad) @ 0.67
3 74.7% Irish (Dodecad) + 25.3% N_Italian (Dodecad) @ 0.69
4 94.8% Kent (1000 Genomes) + 5.2% Samaritians (Behar) @ 0.72
5 94.3% Kent (1000 Genomes) + 5.7% Druze (HGDP) @ 0.74

Mom (largely Swedish, German, Scots-Irish, English -- there's a lot more unknown here, but biggest questions are the mixes within the Swedish and German components -- the Swedish came to the US in the 1880s, but a Swedish cousin said they were partially German from German immigration to Sweden, and the other Germans I know nothing about except they were in the US in the 1700s, the only post-late 1700s immigrant ancestors in this line were from Ireland and then the Swedish ones):

# Population (source) Distance
1 Dutch (Dodecad) 3.08
2 German (Dodecad) 3.43
3 Mixed_Germanic (Dodecad) 3.69
4 CEU30 (1000Genomes) 4.11
5 Ukranians (Yunusbayev) 4.31

# Primary Population (source) Secondary Population (source) Distance
1 93.4% Argyll (1000 Genomes) + 6.6% Iranians (Behar) @ 0.77
2 95.8% German (Dodecad) + 4.2% Kalash @ 0.77
3 92% Orcadian (HGDP) + 8% Iranian (Dodecad) @ 0.88
4 93.2% Argyll (1000 Genomes) + 6.8% Iranian (Dodecad) @ 0.88
5 93.4% Argyll (1000 Genomes) + 6.6% Kurd (Dodecad) @ 0.92

what do you suppose gives them (and you) a Mediterranean/Caucus pull/drift or whatever its called? why not a pull towards Spain (Iberian) instead.... why the southeast?

JerryS.
05-24-2018, 09:50 PM
1 90% Ukranians (Yunusbayev) + 10% Spanish (Dodecad) @ 0.65
2 91% Ukranians (Yunusbayev) + 9% Portuguese (Dodecad) @ 0.72
3 89.3% Belorussian (Behar) + 10.7 Morocco Jews (Behar) @ 0.78


layman here. what do you suppose causes that secondary population to pull towards the Iberian region?

Idwaajeden
05-24-2018, 10:49 PM
layman here. what do you suppose causes that secondary population to pull towards the Iberian region?

My maternal side grandfather was part Jewish, I was always told he was Sephardic I never met him unfortunaly he passed away. However most models will give me Sephardic and Ashkenazi.

Similarly with DnaTribes 16.6% Spain Galicia

Solothurn
05-25-2018, 01:33 AM
Me:

Admix Results (sorted):


# Population Percent
1 Atlantic_Baltic 75.55
2 Southern 11.33
3 Caucasus_Gedrosia 10.91
4 South_Asian 1.60




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


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


Least-squares method.


Using 1 population approximation:
1 CEU30_1000Genomes @ 0.900303
2 British_Dodecad @ 1.091028
3 Cornwall_1000 Genomes @ 1.381843
4 Kent_1000 Genomes @ 1.485394
5 British_Isles_Dodecad @ 1.767114
6 German_Dodecad @ 1.922223
7 Dutch_Dodecad @ 2.144702
8 Irish_Dodecad @ 2.771796
9 Mixed_Germanic_Dodecad @ 2.857388
10 Orcadian_HGDP @ 2.869169
11 Argyll_1000 Genomes @ 2.896807
12 Orkney_1000 Genomes @ 3.178613
13 Polish_Dodecad @ 5.511732
14 Ukranians_Yunusbayev @ 6.786461
15 Norwegian_Dodecad @ 7.252646
16 Belorussian_Behar @ 7.523336
17 Swedish_Dodecad @ 7.664656
18 Hungarians_Behar @ 8.818517
19 French_HGDP @ 9.494346
20 Russian_B_Behar @ 9.556437


Using 2 populations approximation:
1 50% British_Dodecad +50% CEU30_1000Genomes @ 0.863245




Using 3 populations approximation:
1 50% CEU30_1000Genomes +25% CEU30_1000Genomes +25% Cornwall_1000 Genomes @ 0.860542




Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++
1 British_Isles_Dodecad + CEU30_1000Genomes + CEU30_1000Genomes + CEU30_1000Genomes @ 0.812701
2 British_Dodecad + British_Isles_Dodecad + Dutch_Dodecad + CEU30_1000Genomes @ 0.832384
3 British_Dodecad + British_Isles_Dodecad + CEU30_1000Genomes + CEU30_1000Genomes @ 0.847093
4 British_Dodecad + CEU30_1000Genomes + CEU30_1000Genomes + CEU30_1000Genomes @ 0.855422
5 Mixed_Germanic_Dodecad + CEU30_1000Genomes + CEU30_1000Genomes + Orkney_1000 Genomes @ 0.860205

My Mum:

Admix Results (sorted):


# Population Percent
1 Atlantic_Baltic 74.77
2 Southern 11.55
3 Caucasus_Gedrosia 11.37
4 South_Asian 1.20
5 Siberian 1.11




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


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


Least-squares method.


Using 1 population approximation:
1 CEU30_1000Genomes @ 1.124098
2 German_Dodecad @ 1.415720
3 Dutch_Dodecad @ 1.459606
4 British_Dodecad @ 1.668173
5 Kent_1000 Genomes @ 1.830360
6 Cornwall_1000 Genomes @ 1.838714
7 Mixed_Germanic_Dodecad @ 2.143587
8 British_Isles_Dodecad @ 2.618178
9 Argyll_1000 Genomes @ 3.382493
10 Irish_Dodecad @ 3.465083
11 Orcadian_HGDP @ 3.683939
12 Orkney_1000 Genomes @ 4.022745
13 Polish_Dodecad @ 5.738144
14 Ukranians_Yunusbayev @ 6.235546
15 Belorussian_Behar @ 7.761474
16 Hungarians_Behar @ 7.810293
17 Norwegian_Dodecad @ 7.920591
18 Swedish_Dodecad @ 8.302265
19 French_HGDP @ 8.838096
20 Russian_B_Behar @ 9.454280


Using 2 populations approximation:
1 50% British_Dodecad +50% Dutch_Dodecad @ 0.989196




Using 3 populations approximation:
1 50% Polish_Dodecad +25% Polish_Dodecad +25% Cataluna_1000 Genomes @ 0.756395




Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++
1 Lithuanian_Dodecad + Cornwall_1000 Genomes + Cataluna_1000 Genomes + Ukranians_Yunusbayev @ 0.585160
2 Polish_Dodecad + Belorussian_Behar + Argyll_1000 Genomes + Cataluna_1000 Genomes @ 0.624251
3 Lithuanian_Dodecad + CEU30_1000Genomes + Cataluna_1000 Genomes + Ukranians_Yunusbayev @ 0.625499
4 Polish_Dodecad + Lithuanian_Dodecad + Argyll_1000 Genomes + Baleares_1000 Genomes @ 0.639584
5 Lithuanian_Dodecad + Kent_1000 Genomes + Cataluna_1000 Genomes + Ukranians_Yunusbayev @ 0.644521

digital_noise
05-25-2018, 06:01 PM
Not sure why the distance is at 0.00 across the board...

Using 1 population approximation:
1 Hungarians_Behar @ 6.975352
2 French_HGDP @ 7.670102
3 French_Dodecad @ 8.697995
4 N_Italian_Dodecad @ 10.618880
5 Cataluna_1000 Genomes @ 10.855796
6 Bulgarians_Yunusbayev @ 11.305442
7 Baleares_1000 Genomes @ 11.564999
8 Spaniards_Behar @ 11.807416
9 North_Italian_HGDP @ 12.124946
10 Valencia_1000 Genomes @ 12.174219
11 Mixed_Germanic_Dodecad @ 12.308655
12 Extremadura_1000 Genomes @ 12.471021
13 Spanish_Dodecad @ 12.617586
14 Bulgarian_Dodecad @ 12.655693
15 Galicia_1000 Genomes @ 12.750417
16 Castilla_La_Mancha_1000 Genomes @ 13.127542
17 Andalucia_1000 Genomes @ 13.153943
18 Dutch_Dodecad @ 13.313922
19 Portuguese_Dodecad @ 13.553982
20 Cantabria_1000 Genomes @ 13.672087

Using 2 populations approximation:
1 50% Polish_Dodecad +50% TSI30_Metspalu @ 0.000000


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


Using 4 populations approximation:
+++
1 British_Dodecad + British_Dodecad + S_Italian_Dodecad + Hungarians_Behar @ 0.000000
2 British_Dodecad + Irish_Dodecad + O_Italian_Dodecad + Bulgarians_Yunusbayev @ 0.000000
3 British_Dodecad + German_Dodecad + S_Italian_Sicilian_Dodecad + Hungarians_Behar @ 0.000000
4 British_Dodecad + German_Dodecad + S_Italian_Dodecad + Hungarians_Behar @ 0.000000
5 British_Dodecad + Sicilian_Dodecad + Dutch_Dodecad + Hungarians_Behar @ 0.000000
6 British_Dodecad + Mixed_Germanic_Dodecad + S_Italian_Sicilian_Dodecad + Hungarians_Behar @ 0.000000
7 British_Dodecad + S_Italian_Sicilian_Dodecad + Dutch_Dodecad + Hungarians_Behar @ 0.000000
8 British_Dodecad + S_Italian_Sicilian_Dodecad + French_HGDP + Ukranians_Yunusbayev @ 0.000000
9 British_Dodecad + S_Italian_Sicilian_Dodecad + CEU30_1000Genomes + Hungarians_Behar @ 0.000000
10 British_Dodecad + Bulgarian_Dodecad + N_Italian_Dodecad + Hungarians_Behar @ 0.000000
11 British_Dodecad + Bulgarian_Dodecad + Tuscan_HGDP + Argyll_1000 Genomes @ 0.000000
12 British_Dodecad + S_Italian_Dodecad + French_HGDP + Ukranians_Yunusbayev @ 0.000000
13 British_Dodecad + S_Italian_Dodecad + CEU30_1000Genomes + Hungarians_Behar @ 0.000000
14 British_Dodecad + S_Italian_Dodecad + Hungarians_Behar + Kent_1000 Genomes @ 0.000000
15 British_Dodecad + S_Italian_Dodecad + Hungarians_Behar + Cornwall_1000 Genomes @ 0.000000
16 British_Dodecad + Lithuanian_Dodecad + O_Italian_Dodecad + Tuscan_HGDP @ 0.000000
17 British_Dodecad + O_Italian_Dodecad + Orcadian_HGDP + Bulgarians_Yunusbayev @ 0.000000
18 British_Dodecad + O_Italian_Dodecad + Tuscan_HGDP + Lithuanians @ 0.000000
19 British_Dodecad + O_Italian_Dodecad + Orkney_1000 Genomes + Bulgarians_Yunusbayev @ 0.000000
20 British_Dodecad + French_HGDP + Bulgarians_Yunusbayev + Bulgarians_Yunusbayev @ 0.000000

msmarjoribanks
05-29-2018, 11:25 PM
what do you suppose gives them (and you) a Mediterranean/Caucus pull/drift or whatever its called? why not a pull towards Spain (Iberian) instead.... why the southeast?

My sister's results are now in. She gets:

1 Mixed_Germanic (Dodecad) 2.85
2 Dutch (Dodecad) 3.07
3 German (Dodecad) 3.54
4 Hungarians (Behar) 3.63
5 CEU30 (1000Genomes) 4.46

Mine, again, was:

1 Dutch (Dodecad) 2.91
2 Mixed_Germanic (Dodecad) 3.05
3 German (Dodecad) 3.36
4 Hungarians (Behar) 4.05
5 CEU30 (1000Genomes) 4.17

So pretty close!

And then she gets:

1 94.5% German (Dodecad) + 5.5% Armenians (Behar) @ 0.53
2 95.1% German (Dodecad) + 4.9% Armenian (Dodecad) @ 0.55
3 95.3% German (Dodecad) + 4.7% Azerbaijan_Jews @ 0.62
4 95.3% German (Dodecad) + 4.7% Assyrian (Dodecad) @ 0.62
5 95.1% German (Dodecad) + 4.9% Uzbekistan_Jews @ 0.64

Why an eastern pull and not Spain? Well, on other tests my dad does get a strong Spanish pull, and my mom the eastern one.

Looking at the spreadsheet for my sister, I don't think this is a really good test (maybe for some populations) as it seems to focus just on three broad categories that no doubt could be separated: Atlantic/Baltic; Caucasus/Gedrosia; and South.

We all get pretty high Atlantic/Baltic, around 72%. That's similar to German, lower than Irish or Swedish (but their mixes will be different, which is one reason I say the test is not great IMO), and higher than France. So based on those numbers German seems to be the base assumption (although weirdly mine in the results I showed before was Orkney, which makes no sense).

If you start with Germany (or Mixed German) as the base population, you compare Caucasus/Gedrosia and South for the possibilities that will bring you closer and see that my sister's South number is between (and close to) Mixed German and German, way below France, but above Sweden and Ireland. So adding a bit more South wouldn't do much if the base population is German.

Her Caucasus/Gedrosia is 14.16%, so not way off German (12.09%), but a bit more room to bring the numbers closer to the average, so the small additional percentage tends to be populations that score higher in that, as well as a bit higher in South. Armenian is significantly higher in both. Spanish is way lower in Caucasus/Gedrosia than German, so wouldn't improve the closeness number.

The oracle tool is all about finding a mix that will make you closer to the average, as I understand it, but often there's no need to -- on lots of tests, anyway, the 2.85 and 2.91 my sister and I get would be considered quite close and no doubt within average range already. That you get closer by assuming a small mix of the average German with the average Armenian doesn't actually say much about our ancestry.

That said, I find it interesting that both my parents have a bit of an eastern pull vs. what I know about their ancestry, and I'm not sure why. They both have some German ancestry from way, way back that could be more from eastern Germany, but that seems coincidental and it was long enough ago that I doubt it would be that much of an influence, especially in my dad.

IronHorse
06-03-2018, 10:29 PM
Southern Saudi Arabian



#
Population
Percent


1
Southern
55.86


2
Caucasus_Gedrosia
29.24


3
African
5.4


4
Atlantic_Baltic
4.93


5
South_Asian
2.88


6
Siberian
0.94


7
Australasian
0.51


8
Amerindian
0.24



Single Population Sharing:



#
Population (source)
Distance


1
Saudis (Behar)
4.35


2
Bedouin (HGDP)
5.94


3
Palestinian (HGDP)
8.07


4
Yemen_Jews (Behar)
8.9


5
Samaritians (Behar)
9.09


6
Jordanians (Behar)
10.72


7
Lebanese (Behar)
14.06


8
Syrians (Behar)
14.39


9
Druze (HGDP)
14.71


10
Egyptans (Behar)
14.86


11
Cypriots (Behar)
19.44


12
Georgia_Jews (Behar)
19.58


13
Iraq_Jews (Behar)
20.24


14
Yemenese (Behar)
20.45


15
Iranian_Jews (Behar)
22.82


16
Morocco_Jews (Behar)
23.37


17
Assyrian (Dodecad)
23.48


18
Azerbaijan_Jews
24.24


19
Sephardic_Jews (Behar)
24.57


20
Uzbekistan_Jews
25.45



Mixed Mode Population Sharing:



#

Primary Population (source)
Secondary Population (source)
Distance


1

92.8%
Saudis (Behar)
+
7.2%
Romanians (Behar)
@
1.18


2

95.1%
Saudis (Behar)
+
4.9%
Mordovians (Yunusbayev)
@
1.32


3

95.2%
Saudis (Behar)
+
4.8%
Russian (Dodecad)
@
1.35


4

92.9%
Saudis (Behar)
+
7.1%
Bulgarian (Dodecad)
@
1.37


5

93%
Saudis (Behar)
+
7%
Bulgarians (Yunusbayev)
@
1.37


6

95.2%
Saudis (Behar)
+
4.8%
Russian_B (Behar)
@
1.38


7

90.2%
Saudis (Behar)
+
9.8%
Greek (Dodecad)
@
1.38


8

89%
Saudis (Behar)
+
11%
Ashkenazy_Jews
@
1.38


9

95%
Saudis (Behar)
+
5%
Ukranians (Yunusbayev)
@
1.38


10

95.5%
Saudis (Behar)
+
4.5%
FIN30 (1000Genomes)
@
1.4


11

88.6%
Saudis (Behar)
+
11.4%
Ashkenazi (Dodecad)
@
1.41


12

95.5%
Saudis (Behar)
+
4.5%
Finnish (Dodecad)
@
1.41


13

95.3%
Saudis (Behar)
+
4.7%
Belorussian (Behar)
@
1.41


14

88.7%
Saudis (Behar)
+
11.3%
S_Italian (Dodecad)
@
1.42


15

95.6%
Saudis (Behar)
+
4.4%
Lithuanian (Dodecad)
@
1.43


16

94.5%
Saudis (Behar)
+
5.5%
Hungarians (Behar)
@
1.43


17

95.2%
Saudis (Behar)
+
4.8%
Polish (Dodecad)
@
1.43


18

95.6%
Saudis (Behar)
+
4.4%
Lithuanians
@
1.44


19

88.9%
Saudis (Behar)
+
11.1%
S_Italian_Sicilian (Dodecad)
@
1.44


20

85.7%
Saudis (Behar)
+
14.3%
Sephardic_Jews (Behar)
@
1.47

MandiTN1972
06-19-2018, 04:22 PM
Mine:
World9 4-Ancestors Oracle
Kit A079182

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 72.25
2 Caucasus_Gedrosia 12.90
3 Southern 12.11
4 South_Asian 0.88
5 Amerindian 0.82
6 Siberian 0.59
7 African 0.46


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

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

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic_Dodecad 2.184407
2 Dutch_Dodecad 2.347718
3 German_Dodecad 2.906035
4 CEU30_1000Genomes 3.614639
5 Cornwall_1000 Genomes 4.303595
6 Kent_1000 Genomes 4.353375
7 British_Dodecad 4.427030
8 Hungarians_Behar 4.938149
9 British_Isles_Dodecad 5.489278
10 Argyll_1000 Genomes 5.577503
11 Ukranians_Yunusbayev 5.878958
12 Irish_Dodecad 6.019476
13 Orcadian_HGDP 6.302469
14 Orkney_1000 Genomes 6.811267
15 French_HGDP 7.343274
16 Polish_Dodecad 7.458030
17 French_Dodecad 8.537056
18 Belorussian_Behar 9.395661
19 Russian_B_Behar 10.403021
20 Norwegian_Dodecad 10.655513

Using 2 populations approximation:
1 50% CEU30_1000Genomes +50% Hungarians_Behar 0.903511


Using 3 populations approximation:
1 50% Hungarians_Behar +25% Cornwall_1000 Genomes +25% Argyll_1000 Genomes 0.710327


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++
1 Orcadian_HGDP + CEU30_1000Genomes + Hungarians_Behar + Hungarians_Behar 0.575308
2 CEU30_1000Genomes + Hungarians_Behar + Hungarians_Behar + Orkney_1000 Genomes 0.642319
3 Irish_Dodecad + CEU30_1000Genomes + Hungarians_Behar + Hungarians_Behar 0.665837
4 Norwegian_Dodecad + Lithuanian_Dodecad + O_Italian_Dodecad + Orcadian_HGDP 0.680504
5 Swedish_Dodecad + Lithuanian_Dodecad + O_Italian_Dodecad + Orcadian_HGDP 0.706290
6 Hungarians_Behar + Hungarians_Behar + Cornwall_1000 Genomes + Argyll_1000 Genomes 0.710327
7 CEU30_1000Genomes + Hungarians_Behar + Hungarians_Behar + Argyll_1000 Genomes 0.725025
8 Swedish_Dodecad + Lithuanian_Dodecad + O_Italian_Dodecad + Orkney_1000 Genomes 0.726172
9 Swedish_Dodecad + Lithuanian_Dodecad + CEU30_1000Genomes + TSI30_Metspalu 0.734637
10 British_Dodecad + Hungarians_Behar + Hungarians_Behar + Argyll_1000 Genomes 0.741168
11 Norwegian_Dodecad + Lithuanian_Dodecad + O_Italian_Dodecad + Orkney_1000 Genomes 0.744544
12 Swedish_Dodecad + Lithuanian_Dodecad + Tuscan_HGDP + CEU30_1000Genomes 0.751564
13 Swedish_Dodecad + Orcadian_HGDP + Orcadian_HGDP + Bulgarians_Yunusbayev 0.752607
14 Orcadian_HGDP + Hungarians_Behar + Hungarians_Behar + Cornwall_1000 Genomes 0.755384
15 British_Dodecad + Orcadian_HGDP + Hungarians_Behar + Hungarians_Behar 0.761548
16 Swedish_Dodecad + Bulgarian_Dodecad + Orcadian_HGDP + Orkney_1000 Genomes 0.762774
17 Swedish_Dodecad + Bulgarian_Dodecad + Orcadian_HGDP + Orcadian_HGDP 0.766599
18 Lithuanian_Dodecad + North_Italian_HGDP + CEU30_1000Genomes + Ukranians_Yunusbayev 0.775289
19 Swedish_Dodecad + Bulgarian_Dodecad + Orkney_1000 Genomes + Orkney_1000 Genomes 0.776344
20 Irish_Dodecad + Hungarians_Behar + Hungarians_Behar + Cornwall_1000 Genomes 0.776888

My son's:
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 49.30
2 African 28.78
3 Caucasus_Gedrosia 10.27
4 Southern 9.15
5 South_Asian 1.03
6 Amerindian 0.92
7 Australasian 0.5
8 Siberian 0.04


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

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

Least-squares method.

Using 1 population approximation:
1 Puerto_Rican 23.581732
2 PUR30 24.200134
3 Dominican 25.946058
4 Brazilian_Dodecad 28.744846
5 Romanians_Behar 33.336452
6 Bulgarians_Yunusbayev 33.983299
7 Bulgarian_Dodecad 34.155087
8 Canarias_1000 Genomes 34.643806
9 Extremadura_1000 Genomes 34.773594
10 Portuguese_Dodecad 34.986317
11 Hungarians_Behar 35.188438
12 N_Italian_Dodecad 35.200130
13 Galicia_1000 Genomes 35.575878
14 Murcia_1000 Genomes 35.693630
15 Baleares_1000 Genomes 35.791328
16 Andalucia_1000 Genomes 35.856339
17 North_Italian_HGDP 35.868343
18 CLM30 36.003330
19 Spaniards_Behar 36.255402
20 French_HGDP 36.360275

Using 2 populations approximation:
1 50% Dominican +50% Ukranians_Yunusbayev 9.676151


Using 3 populations approximation:
1 50% Polish_Dodecad +25% San +25% PUR30 3.407793


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++
1 Brazilian_Dodecad + Bantu_S.E._Pedi_HGDP + Ukranians_Yunusbayev + Ukranians_Yunusbayev 3.190793
2 Brazilian_Dodecad + Bantu_S.E._S.Sotho_HGDP + Ukranians_Yunusbayev + Ukranians_Yunusbayev 3.190793
3 Brazilian_Dodecad + Biaka_Pygmies + Ukranians_Yunusbayev + Ukranians_Yunusbayev 3.190793
4 Brazilian_Dodecad + Mbuti_Pygmies + Ukranians_Yunusbayev + Ukranians_Yunusbayev 3.190793
5 Polish_Dodecad + San + PUR30 + Ukranians_Yunusbayev 3.268486
6 Brazilian_Dodecad + Bantu_S.E._Tswana_HGDP + Ukranians_Yunusbayev + Ukranians_Yunusbayev 3.307930
7 San + Belorussian_Behar + PUR30 + Ukranians_Yunusbayev 3.325429
8 Brazilian_Dodecad + Yoruba_HGDP + Ukranians_Yunusbayev + Ukranians_Yunusbayev 3.330412
9 Brazilian_Dodecad + San + Ukranians_Yunusbayev + Ukranians_Yunusbayev 3.330788
10 Polish_Dodecad + Bantu_S.E._Pedi_HGDP + PUR30 + Ukranians_Yunusbayev 3.371361
11 Polish_Dodecad + Bantu_S.E._S.Sotho_HGDP + PUR30 + Ukranians_Yunusbayev 3.371361
12 Polish_Dodecad + Biaka_Pygmies + PUR30 + Ukranians_Yunusbayev 3.371361
13 Polish_Dodecad + Mbuti_Pygmies + PUR30 + Ukranians_Yunusbayev 3.371361
14 Polish_Dodecad + Bantu_S.W._Herero_HGDP + PUR30 + Ukranians_Yunusbayev 3.381166
15 Polish_Dodecad + Bantu_S.E._Tswana_HGDP + PUR30 + Ukranians_Yunusbayev 3.381237
16 Polish_Dodecad + Yoruba_HGDP + PUR30 + Ukranians_Yunusbayev 3.385319
17 San + Hungarians_Behar + Lithuanians + PUR30 3.391761
18 Polish_Dodecad + Bantu_S.W._Ovambo_HGDP + PUR30 + Ukranians_Yunusbayev 3.392928
19 Polish_Dodecad + YRI30_HGDP + PUR30 + Ukranians_Yunusbayev 3.395863
20 Bantu_S.W._Herero_HGDP + Belorussian_Behar + PUR30 + Ukranians_Yunusbayev 3.396432

Sizzles
06-19-2018, 06:02 PM
Kit Num: KR5367274
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 58.97
2 Southern 19.41
3 Caucasus_Gedrosia 18.80
4 Australasian 1.15


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

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

Least-squares method.

Using 1 population approximation:
1 Bulgarians_Yunusbayev @ 6.346799
2 Bulgarian_Dodecad @ 7.547751
3 Romanians_Behar @ 8.621743
4 N_Italian_Dodecad @ 8.869303
5 North_Italian_HGDP @ 10.781859
6 Hungarians_Behar @ 11.666556
7 Baleares_1000 Genomes @ 12.829885
8 French_HGDP @ 13.256601
9 French_Dodecad @ 14.177448
10 Extremadura_1000 Genomes @ 14.314067
11 Spaniards_Behar @ 14.584397
12 Cataluna_1000 Genomes @ 14.656549
13 Andalucia_1000 Genomes @ 14.740814
14 Galicia_1000 Genomes @ 14.967742
15 TSI30_Metspalu @ 15.141157
16 Valencia_1000 Genomes @ 15.388256
17 Portuguese_Dodecad @ 15.426281
18 Castilla_La_Mancha_1000 Genomes @ 15.558228
19 Brazilian_Dodecad @ 15.691022
20 Spanish_Dodecad @ 15.834927

Using 2 populations approximation:
1 50% S_Italian_Dodecad +50% Lithuanian_Dodecad @ 1.364821


Using 3 populations approximation:
1 50% German_Dodecad +25% Druze_HGDP +25% Argyll_1000 Genomes @ 0.984424


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++
1 German_Dodecad + German_Dodecad + Druze_HGDP + Argyll_1000 Genomes @ 0.984424
2 Lithuanians + Uzbekistan_Jews + Kent_1000 Genomes + Cantabria_1000 Genomes @ 0.986532
3 Lithuanians + Uzbekistan_Jews + Cornwall_1000 Genomes + Cantabria_1000 Genomes @ 0.995248
4 German_Dodecad + German_Dodecad + Druze_HGDP + Orcadian_HGDP @ 1.011472
5 Assyrian_Dodecad + Lithuanian_Dodecad + Orcadian_HGDP + Cantabria_1000 Genomes @ 1.017079
6 British_Dodecad + British_Dodecad + Georgia_Jews_Behar + Cornwall_1000 Genomes @ 1.029393
7 Lithuanian_Dodecad + Uzbekistan_Jews + Kent_1000 Genomes + Cantabria_1000 Genomes @ 1.033001
8 Lithuanian_Dodecad + Uzbekistan_Jews + Cornwall_1000 Genomes + Cantabria_1000 Genomes @ 1.035836
9 Orcadian_HGDP + Lezgins_Behar + Pais_Vasco_1000 Genomes + Extremadura_1000 Genomes @ 1.040829
10 Orcadian_HGDP + Lezgins_Behar + Cantabria_1000 Genomes + Cantabria_1000 Genomes @ 1.042293
11 British_Dodecad + Lithuanians + Uzbekistan_Jews + Cantabria_1000 Genomes @ 1.051295
12 Lithuanian_Dodecad + Orcadian_HGDP + Azerbaijan_Jews + Cantabria_1000 Genomes @ 1.054315
13 Lithuanian_Dodecad + Azerbaijan_Jews + Orkney_1000 Genomes + Cantabria_1000 Genomes @ 1.054715
14 British_Dodecad + British_Dodecad + British_Dodecad + Georgia_Jews_Behar @ 1.059953
15 German_Dodecad + Dutch_Dodecad + Druze_HGDP + Argyll_1000 Genomes @ 1.064593
16 German_Dodecad + Druze_HGDP + CEU30_1000Genomes + Argyll_1000 Genomes @ 1.066109
17 Lithuanians + Uzbekistan_Jews + Cornwall_1000 Genomes + Aragon_1000 Genomes @ 1.072397
18 Lezgins_Behar + Orkney_1000 Genomes + Cantabria_1000 Genomes + Cantabria_1000 Genomes @ 1.074870
19 Lithuanians + Uzbekistan_Jews + Kent_1000 Genomes + Aragon_1000 Genomes @ 1.076032
20 British_Dodecad + Lithuanian_Dodecad + Uzbekistan_Jews + Cantabria_1000 Genomes @ 1.078038

Done.

Elapsed time 0.5465 seconds.

Can anybody explain my results to me. So many calculators with different results.

Edward J
06-20-2018, 12:56 PM
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 61.70
2 Southern 20.18
3 Caucasus_Gedrosia 16.51


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

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

Least-squares method.

Using 1 population approximation:
1 N_Italian_Dodecad @ 8.520054
2 Bulgarians_Yunusbayev @ 9.041727
3 Hungarians_Behar @ 9.403751
4 French_HGDP @ 9.789083
5 North_Italian_HGDP @ 10.181176
6 Bulgarian_Dodecad @ 10.369992
7 Baleares_1000 Genomes @ 10.605020
8 French_Dodecad @ 10.617071
9 Cataluna_1000 Genomes @ 11.326505
10 Spaniards_Behar @ 11.643865
11 Romanians_Behar @ 11.717768
12 Extremadura_1000 Genomes @ 11.849182
13 Valencia_1000 Genomes @ 12.274607
14 Galicia_1000 Genomes @ 12.331776
15 Andalucia_1000 Genomes @ 12.387430
16 Spanish_Dodecad @ 12.734277
17 Castilla_La_Mancha_1000 Genomes @ 12.827761
18 Portuguese_Dodecad @ 12.980255
19 Castilla_Y_Leon_1000 Genomes @ 13.656625
20 Cantabria_1000 Genomes @ 14.170059

Using 2 populations approximation:
1 50% O_Italian_Dodecad +50% Argyll_1000 Genomes @ 0.670296


Using 3 populations approximation:
1 50% C_Italian_Dodecad +25% CEU30_1000Genomes +25% Lithuanians @ 0.501051


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++
1 Sicilian_Dodecad + Orcadian_HGDP + Tuscan_HGDP + Lithuanians @ 0.430927
2 Sicilian_Dodecad + Orcadian_HGDP + TSI30_Metspalu + Lithuanians @ 0.430927
3 N_Italian_Dodecad + Lithuanians + Sephardic_Jews_Behar + Argyll_1000 Genomes @ 0.467551
4 S_Italian_Sicilian_Dodecad + British_Isles_Dodecad + TSI30_Metspalu + Lithuanians @ 0.480440
5 Polish_Dodecad + O_Italian_Dodecad + O_Italian_Dodecad + Orkney_1000 Genomes @ 0.480451
6 S_Italian_Sicilian_Dodecad + Tuscan_HGDP + Lithuanians + Orkney_1000 Genomes @ 0.480603
7 Sicilian_Dodecad + Tuscan_HGDP + Lithuanians + Orkney_1000 Genomes @ 0.492768
8 British_Dodecad + Sicilian_Dodecad + TSI30_Metspalu + Lithuanians @ 0.493952
9 S_Italian_Sicilian_Dodecad + Orcadian_HGDP + TSI30_Metspalu + Lithuanians @ 0.494823
10 Polish_Dodecad + O_Italian_Dodecad + O_Italian_Dodecad + Orcadian_HGDP @ 0.497476
11 S_Italian_Sicilian_Dodecad + Orcadian_HGDP + Tuscan_HGDP + Lithuanians @ 0.497805
12 Polish_Dodecad + British_Isles_Dodecad + O_Italian_Dodecad + O_Italian_Dodecad @ 0.498208
13 Irish_Dodecad + Polish_Dodecad + O_Italian_Dodecad + O_Italian_Dodecad @ 0.500437
14 C_Italian_Dodecad + C_Italian_Dodecad + CEU30_1000Genomes + Lithuanians @ 0.501051
15 Irish_Dodecad + Sicilian_Dodecad + Tuscan_HGDP + Lithuanians @ 0.501156
16 Irish_Dodecad + Sicilian_Dodecad + TSI30_Metspalu + Lithuanians @ 0.501156
17 Sicilian_Dodecad + British_Isles_Dodecad + Tuscan_HGDP + Lithuanians @ 0.506363
18 C_Italian_Dodecad + C_Italian_Dodecad + Lithuanians + Cornwall_1000 Genomes @ 0.508921
19 German_Dodecad + German_Dodecad + Hungarians_Behar + Sephardic_Jews_Behar @ 0.517002
20 Polish_Dodecad + S_Italian_Sicilian_Dodecad + N_Italian_Dodecad + Argyll_1000 Genomes @ 0.529581

FionnSneachta
06-20-2018, 02:24 PM
My family are all Irish.

Me
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 75.64
2 Caucasus_Gedrosia 13.17
3 Southern 9.05
4 Amerindian 1.29


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

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

Least-squares method.

Using 1 population approximation:
1 Argyll_1000 Genomes @ 1.893560
2 Irish_Dodecad @ 2.864678
3 German_Dodecad @ 2.895841
4 CEU30_1000Genomes @ 3.236503
5 Orcadian_HGDP @ 3.271488
6 Polish_Dodecad @ 3.324782
7 Dutch_Dodecad @ 3.328124
8 British_Dodecad @ 3.764257
9 Kent_1000 Genomes @ 3.867136
10 Orkney_1000 Genomes @ 3.895561
11 British_Isles_Dodecad @ 3.996349
12 Cornwall_1000 Genomes @ 4.085179
13 Ukranians_Yunusbayev @ 4.534608
14 Mixed_Germanic_Dodecad @ 4.731612
15 Belorussian_Behar @ 5.300632
16 Swedish_Dodecad @ 6.997053
17 Norwegian_Dodecad @ 7.020835
18 Russian_B_Behar @ 7.381032
19 Russian_Dodecad @ 8.309820
20 Hungarians_Behar @ 9.134187

Using 2 populations approximation:
1 50% Polish_Dodecad +50% Dutch_Dodecad @ 1.424985


Using 3 populations approximation:
1 50% Argyll_1000 Genomes +25% Argyll_1000 Genomes +25% Ukranians_Yunusbayev @ 1.313938


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++
1 German_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.231415
2 Dutch_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.300301
3 CEU30_1000Genomes + Argyll_1000 Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.311974
4 Argyll_1000 Genomes + Argyll_1000 Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.313938
5 Irish_Dodecad + German_Dodecad + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.323109
6 German_Dodecad + Orcadian_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.329355
7 Dutch_Dodecad + Orcadian_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.355665
8 Irish_Dodecad + Dutch_Dodecad + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.357846
9 Irish_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.366325
10 Dutch_Dodecad + Lithuanian_Dodecad + Hungarians_Behar + Argyll_1000 Genomes @ 1.381606
11 Orcadian_HGDP + Argyll_1000 Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.387066
12 Kent_1000 Genomes + Argyll_1000 Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.388492
13 Cornwall_1000 Genomes + Argyll_1000 Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.394989
14 Mixed_Germanic_Dodecad + Lithuanian_Dodecad + Hungarians_Behar + Argyll_1000 Genomes @ 1.398359
15 Mixed_Germanic_Dodecad + Hungarians_Behar + Lithuanians + Argyll_1000 Genomes @ 1.402615
16 Dutch_Dodecad + Hungarians_Behar + Lithuanians + Argyll_1000 Genomes @ 1.404533
17 German_Dodecad + Lithuanian_Dodecad + Hungarians_Behar + Argyll_1000 Genomes @ 1.413616
18 Polish_Dodecad + Dutch_Dodecad + Orcadian_HGDP + Ukranians_Yunusbayev @ 1.415253
19 Polish_Dodecad + Polish_Dodecad + Dutch_Dodecad + Dutch_Dodecad @ 1.424985
20 Irish_Dodecad + CEU30_1000Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.427688

Done.

Dad
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 75.23
2 Caucasus_Gedrosia 11.58
3 Southern 10.15
4 Amerindian 2.32


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

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

Least-squares method.

Using 1 population approximation:
1 CEU30_1000Genomes @ 2.341786
2 German_Dodecad @ 2.371177
3 Argyll_1000 Genomes @ 2.643672
4 British_Dodecad @ 2.836018
5 Kent_1000 Genomes @ 2.850201
6 Irish_Dodecad @ 2.902804
7 Cornwall_1000 Genomes @ 2.961289
8 Dutch_Dodecad @ 2.961911
9 Orcadian_HGDP @ 3.035717
10 British_Isles_Dodecad @ 3.104283
11 Orkney_1000 Genomes @ 3.636428
12 Mixed_Germanic_Dodecad @ 3.936270
13 Polish_Dodecad @ 4.918599
14 Ukranians_Yunusbayev @ 6.045884
15 Belorussian_Behar @ 6.807061
16 Norwegian_Dodecad @ 7.302600
17 Swedish_Dodecad @ 7.511656
18 Russian_B_Behar @ 8.671300
19 Hungarians_Behar @ 8.903835
20 Russian_Dodecad @ 9.487967

Using 2 populations approximation:
1 50% German_Dodecad +50% Argyll_1000 Genomes @ 1.977789


Using 3 populations approximation:
1 50% Orcadian_HGDP +25% Orcadian_HGDP +25% Hungarians_Behar @ 1.852762


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++
1 Orcadian_HGDP + Orcadian_HGDP + Orcadian_HGDP + Hungarians_Behar @ 1.852762
2 Irish_Dodecad + Orcadian_HGDP + Orcadian_HGDP + Hungarians_Behar @ 1.915842
3 Orcadian_HGDP + Orcadian_HGDP + Hungarians_Behar + Orkney_1000 Genomes @ 1.919124
4 Orcadian_HGDP + Orcadian_HGDP + Hungarians_Behar + Argyll_1000 Genomes @ 1.930161
5 Irish_Dodecad + Orcadian_HGDP + Hungarians_Behar + Orkney_1000 Genomes @ 1.956630
6 German_Dodecad + German_Dodecad + Orcadian_HGDP + Argyll_1000 Genomes @ 1.968937
7 Orcadian_HGDP + Hungarians_Behar + Orkney_1000 Genomes + Argyll_1000 Genomes @ 1.974660
8 German_Dodecad + German_Dodecad + CEU30_1000Genomes + Argyll_1000 Genomes @ 1.974759
9 German_Dodecad + CEU30_1000Genomes + Argyll_1000 Genomes + Argyll_1000 Genomes @ 1.975206
10 Irish_Dodecad + Irish_Dodecad + Orcadian_HGDP + Hungarians_Behar @ 1.977416
11 German_Dodecad + German_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes @ 1.977789
12 Irish_Dodecad + Orcadian_HGDP + Hungarians_Behar + Argyll_1000 Genomes @ 2.004379
13 Irish_Dodecad + German_Dodecad + German_Dodecad + Argyll_1000 Genomes @ 2.005900
14 German_Dodecad + Dutch_Dodecad + Orcadian_HGDP + Argyll_1000 Genomes @ 2.006716
15 Orcadian_HGDP + Hungarians_Behar + Orkney_1000 Genomes + Orkney_1000 Genomes @ 2.006986
16 German_Dodecad + CEU30_1000Genomes + CEU30_1000Genomes + Argyll_1000 Genomes @ 2.009552
17 German_Dodecad + Orcadian_HGDP + CEU30_1000Genomes + Argyll_1000 Genomes @ 2.012035
18 German_Dodecad + German_Dodecad + German_Dodecad + Orcadian_HGDP @ 2.016303
19 German_Dodecad + German_Dodecad + Orcadian_HGDP + Orcadian_HGDP @ 2.019911
20 German_Dodecad + German_Dodecad + Orcadian_HGDP + CEU30_1000Genomes @ 2.022590

Done.

Mum
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 75.43
2 Caucasus_Gedrosia 13.12
3 Southern 9.26
4 South_Asian 1.09


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

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

Least-squares method.

Using 1 population approximation:
1 Argyll_1000 Genomes @ 1.910886
2 German_Dodecad @ 2.589842
3 Irish_Dodecad @ 2.891193
4 CEU30_1000Genomes @ 2.934493
5 Dutch_Dodecad @ 2.949938
6 Orcadian_HGDP @ 3.295018
7 British_Dodecad @ 3.509142
8 Polish_Dodecad @ 3.512903
9 Kent_1000 Genomes @ 3.663731
10 Cornwall_1000 Genomes @ 3.859552
11 British_Isles_Dodecad @ 3.859777
12 Orkney_1000 Genomes @ 3.914803
13 Mixed_Germanic_Dodecad @ 4.376273
14 Ukranians_Yunusbayev @ 4.475458
15 Belorussian_Behar @ 5.513831
16 Norwegian_Dodecad @ 7.189302
17 Swedish_Dodecad @ 7.202142
18 Russian_B_Behar @ 7.551424
19 Russian_Dodecad @ 8.435790
20 Hungarians_Behar @ 8.843350

Using 2 populations approximation:
1 50% Polish_Dodecad +50% Dutch_Dodecad @ 1.250455


Using 3 populations approximation:
1 50% Dutch_Dodecad +25% Lithuanian_Dodecad +25% Hungarians_Behar @ 1.206138


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++
1 Dutch_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.014593
2 German_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.041239
3 Dutch_Dodecad + Orcadian_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.067368
4 Irish_Dodecad + Dutch_Dodecad + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.072148
5 CEU30_1000Genomes + Argyll_1000 Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.073056
6 Irish_Dodecad + German_Dodecad + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.130723
7 Mixed_Germanic_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.131650
8 German_Dodecad + Orcadian_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.133709
9 Cornwall_1000 Genomes + Argyll_1000 Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.180086
10 Dutch_Dodecad + Orkney_1000 Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.187087
11 Irish_Dodecad + Belorussian_Behar + Hungarians_Behar + Argyll_1000 Genomes @ 1.190266
12 Orcadian_HGDP + Belorussian_Behar + Hungarians_Behar + Argyll_1000 Genomes @ 1.190598
13 Dutch_Dodecad + Dutch_Dodecad + Lithuanian_Dodecad + Hungarians_Behar @ 1.206138
14 Irish_Dodecad + Irish_Dodecad + Dutch_Dodecad + Ukranians_Yunusbayev @ 1.209952
15 Kent_1000 Genomes + Argyll_1000 Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.223305
16 Dutch_Dodecad + Dutch_Dodecad + Belorussian_Behar + Argyll_1000 Genomes @ 1.225378
17 German_Dodecad + Dutch_Dodecad + Lithuanian_Dodecad + Hungarians_Behar @ 1.225967
18 German_Dodecad + Dutch_Dodecad + Hungarians_Behar + Lithuanians @ 1.226948
19 Irish_Dodecad + CEU30_1000Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.232094
20 Dutch_Dodecad + Dutch_Dodecad + Hungarians_Behar + Lithuanians @ 1.240162

Done.

Dad's aunt
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 74.40
2 Caucasus_Gedrosia 12.00
3 Southern 11.65


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

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

Least-squares method.

Using 1 population approximation:
1 German_Dodecad @ 0.757316
2 Dutch_Dodecad @ 0.985314
3 CEU30_1000Genomes @ 1.579980
4 Mixed_Germanic_Dodecad @ 1.810709
5 Kent_1000 Genomes @ 2.088742
6 Cornwall_1000 Genomes @ 2.190707
7 British_Dodecad @ 2.246916
8 British_Isles_Dodecad @ 3.193941
9 Argyll_1000 Genomes @ 3.560026
10 Irish_Dodecad @ 3.765788
11 Orcadian_HGDP @ 4.026649
12 Orkney_1000 Genomes @ 4.508605
13 Polish_Dodecad @ 5.872021
14 Ukranians_Yunusbayev @ 5.944561
15 Hungarians_Behar @ 7.196134
16 Belorussian_Behar @ 7.922985
17 Norwegian_Dodecad @ 8.428325
18 French_HGDP @ 8.572141
19 Swedish_Dodecad @ 8.783342
20 French_Dodecad @ 9.490420

Using 2 populations approximation:
1 50% German_Dodecad +50% Dutch_Dodecad @ 0.638713


Using 3 populations approximation:
1 50% Irish_Dodecad +25% French_Dodecad +25% Ukranians_Yunusbayev @ 0.437185


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++
1 German_Dodecad + Orcadian_HGDP + Hungarians_Behar + Kent_1000 Genomes @ 0.412610
2 German_Dodecad + British_Isles_Dodecad + Orcadian_HGDP + Hungarians_Behar @ 0.412710
3 Irish_Dodecad + Irish_Dodecad + French_Dodecad + Ukranians_Yunusbayev @ 0.437185
4 Orcadian_HGDP + Hungarians_Behar + Kent_1000 Genomes + Kent_1000 Genomes @ 0.437385
5 Irish_Dodecad + German_Dodecad + British_Isles_Dodecad + Hungarians_Behar @ 0.437560
6 German_Dodecad + French_Dodecad + Lithuanian_Dodecad + Hungarians_Behar @ 0.437860
7 Irish_Dodecad + Hungarians_Behar + Kent_1000 Genomes + Kent_1000 Genomes @ 0.462235
8 German_Dodecad + Hungarians_Behar + Orkney_1000 Genomes + Kent_1000 Genomes @ 0.462359
9 Hungarians_Behar + Kent_1000 Genomes + Kent_1000 Genomes + Argyll_1000 Genomes @ 0.462385
10 Irish_Dodecad + CEU30_1000Genomes + Hungarians_Behar + Kent_1000 Genomes @ 0.462435
11 German_Dodecad + British_Isles_Dodecad + Hungarians_Behar + Orkney_1000 Genomes @ 0.462459
12 German_Dodecad + Hungarians_Behar + Orkney_1000 Genomes + Cornwall_1000 Genomes @ 0.462459
13 Hungarians_Behar + Kent_1000 Genomes + Cornwall_1000 Genomes + Argyll_1000 Genomes @ 0.462485
14 British_Isles_Dodecad + Hungarians_Behar + Kent_1000 Genomes + Argyll_1000 Genomes @ 0.462485
15 German_Dodecad + Orcadian_HGDP + Hungarians_Behar + Cornwall_1000 Genomes @ 0.487347
16 German_Dodecad + French_Dodecad + Hungarians_Behar + Lithuanians @ 0.487710
17 Irish_Dodecad + French_Dodecad + Orcadian_HGDP + Ukranians_Yunusbayev @ 0.495022
18 French_Dodecad + Orcadian_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 0.502876
19 Orcadian_HGDP + Hungarians_Behar + Kent_1000 Genomes + Cornwall_1000 Genomes @ 0.504732
20 Orcadian_HGDP + CEU30_1000Genomes + Hungarians_Behar + Kent_1000 Genomes @ 0.510228

Done.

Paternal aunt
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 75.78
2 Caucasus_Gedrosia 12.19
3 Southern 10.22
4 Amerindian 1.23


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

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

Least-squares method.

Using 1 population approximation:
1 German_Dodecad @ 1.746828
2 Argyll_1000 Genomes @ 1.870986
3 CEU30_1000Genomes @ 2.121523
4 Irish_Dodecad @ 2.247377
5 Kent_1000 Genomes @ 2.379907
6 British_Dodecad @ 2.418905
7 Dutch_Dodecad @ 2.505445
8 Orcadian_HGDP @ 2.633702
9 Cornwall_1000 Genomes @ 2.727850
10 British_Isles_Dodecad @ 2.733683
11 Orkney_1000 Genomes @ 3.174355
12 Mixed_Germanic_Dodecad @ 3.745536
13 Polish_Dodecad @ 4.119996
14 Ukranians_Yunusbayev @ 5.460870
15 Belorussian_Behar @ 6.164287
16 Norwegian_Dodecad @ 6.745099
17 Swedish_Dodecad @ 7.022787
18 Russian_B_Behar @ 8.199792
19 Hungarians_Behar @ 8.861940
20 Russian_Dodecad @ 9.004602

Using 2 populations approximation:
1 50% German_Dodecad +50% Argyll_1000 Genomes @ 0.938562


Using 3 populations approximation:
1 50% German_Dodecad +25% Argyll_1000 Genomes +25% Argyll_1000 Genomes @ 0.938562


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++
1 Polish_Dodecad + German_Dodecad + German_Dodecad + Kent_1000 Genomes @ 0.919706
2 German_Dodecad + German_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes @ 0.938562
3 North_Italian_HGDP + Orcadian_HGDP + Lithuanians + Lithuanians @ 0.948777
4 Lithuanian_Dodecad + North_Italian_HGDP + Orcadian_HGDP + Lithuanians @ 0.951939
5 Irish_Dodecad + Kent_1000 Genomes + Kent_1000 Genomes + Ukranians_Yunusbayev @ 0.958463
6 Polish_Dodecad + German_Dodecad + German_Dodecad + Cornwall_1000 Genomes @ 0.958669
7 Irish_Dodecad + German_Dodecad + German_Dodecad + Argyll_1000 Genomes @ 0.966526
8 Irish_Dodecad + North_Italian_HGDP + Lithuanians + Lithuanians @ 0.967334
9 Orcadian_HGDP + Kent_1000 Genomes + Kent_1000 Genomes + Ukranians_Yunusbayev @ 0.985878
10 Polish_Dodecad + German_Dodecad + German_Dodecad + German_Dodecad @ 0.991995
11 German_Dodecad + Orcadian_HGDP + Kent_1000 Genomes + Ukranians_Yunusbayev @ 0.997837
12 Irish_Dodecad + Kent_1000 Genomes + Cornwall_1000 Genomes + Ukranians_Yunusbayev @ 1.001560
13 Polish_Dodecad + German_Dodecad + German_Dodecad + CEU30_1000Genomes @ 1.001636
14 German_Dodecad + German_Dodecad + Belorussian_Behar + Kent_1000 Genomes @ 1.001937
15 Irish_Dodecad + Lithuanian_Dodecad + North_Italian_HGDP + Lithuanians @ 1.002979
16 German_Dodecad + Dutch_Dodecad + Belorussian_Behar + Kent_1000 Genomes @ 1.014187
17 Polish_Dodecad + German_Dodecad + German_Dodecad + British_Isles_Dodecad @ 1.022243
18 Kent_1000 Genomes + Kent_1000 Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.023258
19 German_Dodecad + German_Dodecad + Belorussian_Behar + Cornwall_1000 Genomes @ 1.023888
20 British_Isles_Dodecad + North_Italian_HGDP + Lithuanians + Lithuanians @ 1.028132

Done.

Sizzles
06-21-2018, 05:59 PM
Kit Num: KR5367274
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 58.97
2 Southern 19.41
3 Caucasus_Gedrosia 18.80
4 Australasian 1.15


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

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

Least-squares method.

Using 1 population approximation:
1 Bulgarians_Yunusbayev @ 6.346799
2 Bulgarian_Dodecad @ 7.547751
3 Romanians_Behar @ 8.621743
4 N_Italian_Dodecad @ 8.869303
5 North_Italian_HGDP @ 10.781859
6 Hungarians_Behar @ 11.666556
7 Baleares_1000 Genomes @ 12.829885
8 French_HGDP @ 13.256601
9 French_Dodecad @ 14.177448
10 Extremadura_1000 Genomes @ 14.314067
11 Spaniards_Behar @ 14.584397
12 Cataluna_1000 Genomes @ 14.656549
13 Andalucia_1000 Genomes @ 14.740814
14 Galicia_1000 Genomes @ 14.967742
15 TSI30_Metspalu @ 15.141157
16 Valencia_1000 Genomes @ 15.388256
17 Portuguese_Dodecad @ 15.426281
18 Castilla_La_Mancha_1000 Genomes @ 15.558228
19 Brazilian_Dodecad @ 15.691022
20 Spanish_Dodecad @ 15.834927

Using 2 populations approximation:
1 50% S_Italian_Dodecad +50% Lithuanian_Dodecad @ 1.364821


Using 3 populations approximation:
1 50% German_Dodecad +25% Druze_HGDP +25% Argyll_1000 Genomes @ 0.984424


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++
1 German_Dodecad + German_Dodecad + Druze_HGDP + Argyll_1000 Genomes @ 0.984424
2 Lithuanians + Uzbekistan_Jews + Kent_1000 Genomes + Cantabria_1000 Genomes @ 0.986532
3 Lithuanians + Uzbekistan_Jews + Cornwall_1000 Genomes + Cantabria_1000 Genomes @ 0.995248
4 German_Dodecad + German_Dodecad + Druze_HGDP + Orcadian_HGDP @ 1.011472
5 Assyrian_Dodecad + Lithuanian_Dodecad + Orcadian_HGDP + Cantabria_1000 Genomes @ 1.017079
6 British_Dodecad + British_Dodecad + Georgia_Jews_Behar + Cornwall_1000 Genomes @ 1.029393
7 Lithuanian_Dodecad + Uzbekistan_Jews + Kent_1000 Genomes + Cantabria_1000 Genomes @ 1.033001
8 Lithuanian_Dodecad + Uzbekistan_Jews + Cornwall_1000 Genomes + Cantabria_1000 Genomes @ 1.035836
9 Orcadian_HGDP + Lezgins_Behar + Pais_Vasco_1000 Genomes + Extremadura_1000 Genomes @ 1.040829
10 Orcadian_HGDP + Lezgins_Behar + Cantabria_1000 Genomes + Cantabria_1000 Genomes @ 1.042293
11 British_Dodecad + Lithuanians + Uzbekistan_Jews + Cantabria_1000 Genomes @ 1.051295
12 Lithuanian_Dodecad + Orcadian_HGDP + Azerbaijan_Jews + Cantabria_1000 Genomes @ 1.054315
13 Lithuanian_Dodecad + Azerbaijan_Jews + Orkney_1000 Genomes + Cantabria_1000 Genomes @ 1.054715
14 British_Dodecad + British_Dodecad + British_Dodecad + Georgia_Jews_Behar @ 1.059953
15 German_Dodecad + Dutch_Dodecad + Druze_HGDP + Argyll_1000 Genomes @ 1.064593
16 German_Dodecad + Druze_HGDP + CEU30_1000Genomes + Argyll_1000 Genomes @ 1.066109
17 Lithuanians + Uzbekistan_Jews + Cornwall_1000 Genomes + Aragon_1000 Genomes @ 1.072397
18 Lezgins_Behar + Orkney_1000 Genomes + Cantabria_1000 Genomes + Cantabria_1000 Genomes @ 1.074870
19 Lithuanians + Uzbekistan_Jews + Kent_1000 Genomes + Aragon_1000 Genomes @ 1.076032
20 British_Dodecad + Lithuanian_Dodecad + Uzbekistan_Jews + Cantabria_1000 Genomes @ 1.078038

Done.

Elapsed time 0.5465 seconds.

Can anybody explain my results to me. So many calculators with different results.

To me it looks like I'm British, German, Italian, French and it goes dark after that. Lol

PoxVoldius
06-24-2018, 04:31 AM
Me:

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

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 2.375760
2 CEU30_1000Genomes @ 2.782962
3 Dutch_Dodecad @ 2.800428
4 German_Dodecad @ 2.942417
5 British_Dodecad @ 3.309568
6 Cornwall_1000 Genomes @ 3.318806
7 Kent_1000 Genomes @ 3.492616
8 British_Isles_Dodecad @ 4.370395
9 Argyll_1000 Genomes @ 5.280503
10 Irish_Dodecad @ 5.369892
11 Orcadian_HGDP @ 5.438920
12 Orkney_1000 Genomes @ 5.823994
13 Hungarians_Behar @ 6.813507
14 Ukranians_Yunusbayev @ 6.931602
15 Polish_Dodecad @ 7.357154
16 French_HGDP @ 7.602091
17 French_Dodecad @ 8.476019
18 Belorussian_Behar @ 9.227138
19 Norwegian_Dodecad @ 9.519053
20 Swedish_Dodecad @ 9.918655

Using 2 populations approximation:
1 50% French_Dodecad +50% Belorussian_Behar @ 1.868655


Using 3 populations approximation:
1 50% Lithuanian_Dodecad +25% Hungarians_Behar +25% Canarias_1000 Genomes @ 1.287843


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++
1 British_Dodecad + Portuguese_Dodecad + Belorussian_Behar + Belorussian_Behar @ 1.164428
2 Portuguese_Dodecad + CEU30_1000Genomes + Belorussian_Behar + Belorussian_Behar @ 1.174967
3 Lithuanian_Dodecad + CEU30_1000Genomes + Belorussian_Behar + Canarias_1000 Genomes @ 1.231119
4 Dutch_Dodecad + Lithuanian_Dodecad + Belorussian_Behar + Canarias_1000 Genomes @ 1.240186
5 CEU30_1000Genomes + Belorussian_Behar + Lithuanians + Canarias_1000 Genomes @ 1.241736
6 Lithuanian_Dodecad + Orcadian_HGDP + Canarias_1000 Genomes + Ukranians_Yunusbayev @ 1.251944
7 Swedish_Dodecad + Belorussian_Behar + Belorussian_Behar + Canarias_1000 Genomes @ 1.254665
8 Dutch_Dodecad + Belorussian_Behar + Lithuanians + Canarias_1000 Genomes @ 1.261571
9 Portuguese_Dodecad + Belorussian_Behar + Belorussian_Behar + Cornwall_1000 Genomes @ 1.266746
10 German_Dodecad + Lithuanian_Dodecad + Belorussian_Behar + Canarias_1000 Genomes @ 1.266808
11 Norwegian_Dodecad + Belorussian_Behar + Belorussian_Behar + Canarias_1000 Genomes @ 1.268966
12 Polish_Dodecad + Portuguese_Dodecad + Orcadian_HGDP + Russian_B_Behar @ 1.269509
13 Lithuanian_Dodecad + Russian_B_Behar + Cornwall_1000 Genomes + Canarias_1000 Genomes @ 1.277866
14 Lithuanian_Dodecad + CEU30_1000Genomes + Russian_B_Behar + Canarias_1000 Genomes @ 1.285919
15 German_Dodecad + Belorussian_Behar + Lithuanians + Canarias_1000 Genomes @ 1.286629
16 Lithuanian_Dodecad + Lithuanian_Dodecad + Hungarians_Behar + Canarias_1000 Genomes @ 1.287843
17 Portuguese_Dodecad + British_Isles_Dodecad + Belorussian_Behar + Belorussian_Behar @ 1.288102
18 CEU30_1000Genomes + Lithuanians + Russian_B_Behar + Canarias_1000 Genomes @ 1.290382
19 Polish_Dodecad + Swedish_Dodecad + Belorussian_Behar + Canarias_1000 Genomes @ 1.294945
20 CEU30_1000Genomes + Belorussian_Behar + Belorussian_Behar + Extremadura_1000 Genomes @ 1.296882

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


Mom:

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

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 2.057638
2 Dutch_Dodecad @ 2.638135
3 German_Dodecad @ 3.176044
4 CEU30_1000Genomes @ 3.300514
5 Cornwall_1000 Genomes @ 3.784565
6 British_Dodecad @ 3.963692
7 Kent_1000 Genomes @ 4.037233
8 British_Isles_Dodecad @ 5.029338
9 Argyll_1000 Genomes @ 5.710468
10 Irish_Dodecad @ 5.943524
11 Hungarians_Behar @ 6.043974
12 Orcadian_HGDP @ 6.054741
13 Orkney_1000 Genomes @ 6.503347
14 French_HGDP @ 7.030483
15 Ukranians_Yunusbayev @ 7.102288
16 Polish_Dodecad @ 7.928576
17 French_Dodecad @ 8.030359
18 Belorussian_Behar @ 9.869617
19 Norwegian_Dodecad @ 10.524378
20 Swedish_Dodecad @ 10.843777

Using 2 populations approximation:
1 50% Mixed_Germanic_Dodecad +50% Mixed_Germanic_Dodecad @ 2.057638


Using 3 populations approximation:
1 50% Lithuanian_Dodecad +25% Romanians_Behar +25% Cantabria_1000 Genomes @ 1.763716


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++
1 Lithuanian_Dodecad + Belorussian_Behar + Romanians_Behar + Pais_Vasco_1000 Genomes @ 1.719387
2 Lithuanian_Dodecad + French_Basque + Belorussian_Behar + Romanians_Behar @ 1.731809
3 Lithuanian_Dodecad + N_Italian_Dodecad + CEU30_1000Genomes + CEU30_1000Genomes @ 1.733210
4 Lithuanian_Dodecad + North_Italian_HGDP + CEU30_1000Genomes + CEU30_1000Genomes @ 1.748697
5 Lithuanian_Dodecad + Lithuanian_Dodecad + Romanians_Behar + Cantabria_1000 Genomes @ 1.763716
6 Belorussian_Behar + Lithuanians + Romanians_Behar + Pais_Vasco_1000 Genomes @ 1.775328
7 French_Basque + Belorussian_Behar + Lithuanians + Romanians_Behar @ 1.790086
8 British_Dodecad + Lithuanian_Dodecad + N_Italian_Dodecad + CEU30_1000Genomes @ 1.804720
9 Lithuanian_Dodecad + N_Italian_Dodecad + CEU30_1000Genomes + Cornwall_1000 Genomes @ 1.819989
10 British_Dodecad + Lithuanian_Dodecad + North_Italian_HGDP + CEU30_1000Genomes @ 1.820674
11 Mixed_Germanic_Dodecad + CEU30_1000Genomes + CEU30_1000Genomes + Hungarians_Behar @ 1.824790
12 Lithuanian_Dodecad + Lithuanian_Dodecad + Romanians_Behar + Aragon_1000 Genomes @ 1.826684
13 Lithuanian_Dodecad + North_Italian_HGDP + Orcadian_HGDP + CEU30_1000Genomes @ 1.851905
14 French_Dodecad + Mixed_Germanic_Dodecad + CEU30_1000Genomes + Ukranians_Yunusbayev @ 1.861886
15 Lithuanian_Dodecad + Lithuanian_Dodecad + Romanians_Behar + Pais_Vasco_1000 Genomes @ 1.863763
16 Lithuanian_Dodecad + Lithuanians + Romanians_Behar + Cantabria_1000 Genomes @ 1.865994
17 British_Isles_Dodecad + Lithuanian_Dodecad + N_Italian_Dodecad + CEU30_1000Genomes @ 1.867683
18 Lithuanian_Dodecad + North_Italian_HGDP + CEU30_1000Genomes + Cornwall_1000 Genomes @ 1.871181
19 Mixed_Germanic_Dodecad + CEU30_1000Genomes + Hungarians_Behar + Cornwall_1000 Genomes @ 1.875100
20 Lithuanian_Dodecad + North_Italian_HGDP + CEU30_1000Genomes + Argyll_1000 Genomes @ 1.877813

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


Dad:

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

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 2.794049
2 Dutch_Dodecad @ 3.110478
3 German_Dodecad @ 3.326326
4 CEU30_1000Genomes @ 3.650385
5 British_Dodecad @ 4.248504
6 Cornwall_1000 Genomes @ 4.281508
7 Kent_1000 Genomes @ 4.333753
8 British_Isles_Dodecad @ 5.374940
9 Argyll_1000 Genomes @ 5.799816
10 Hungarians_Behar @ 6.006666
11 Irish_Dodecad @ 6.057523
12 Orcadian_HGDP @ 6.229269
13 Ukranians_Yunusbayev @ 6.563841
14 Orkney_1000 Genomes @ 6.677493
15 French_HGDP @ 7.581763
16 Polish_Dodecad @ 7.628045
17 French_Dodecad @ 8.636282
18 Belorussian_Behar @ 9.477882
19 Norwegian_Dodecad @ 10.298717
20 Russian_B_Behar @ 10.525244

Using 2 populations approximation:
1 50% British_Dodecad +50% Hungarians_Behar @ 2.477538


Using 3 populations approximation:
1 50% Belorussian_Behar +25% Belorussian_Behar +25% Canarias_1000 Genomes @ 1.641784


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++
1 Polish_Dodecad + Belorussian_Behar + Belorussian_Behar + Canarias_1000 Genomes @ 1.590324
2 Polish_Dodecad + Lithuanians + Canarias_1000 Genomes + Ukranians_Yunusbayev @ 1.595411
3 Lithuanians + Argyll_1000 Genomes + Canarias_1000 Genomes + Ukranians_Yunusbayev @ 1.637112
4 Belorussian_Behar + Belorussian_Behar + Belorussian_Behar + Canarias_1000 Genomes @ 1.641784
5 Polish_Dodecad + Polish_Dodecad + Belorussian_Behar + Canarias_1000 Genomes @ 1.699475
6 Polish_Dodecad + Lithuanian_Dodecad + Canarias_1000 Genomes + Ukranians_Yunusbayev @ 1.699975
7 Irish_Dodecad + Lithuanians + Canarias_1000 Genomes + Ukranians_Yunusbayev @ 1.738167
8 Orcadian_HGDP + Lithuanians + Canarias_1000 Genomes + Ukranians_Yunusbayev @ 1.743972
9 Lithuanian_Dodecad + Argyll_1000 Genomes + Canarias_1000 Genomes + Ukranians_Yunusbayev @ 1.749763
10 Hungarians_Behar + Lithuanians + Lithuanians + Canarias_1000 Genomes @ 1.767184
11 German_Dodecad + Lithuanians + Canarias_1000 Genomes + Ukranians_Yunusbayev @ 1.769328
12 CEU30_1000Genomes + Lithuanians + Canarias_1000 Genomes + Ukranians_Yunusbayev @ 1.803470
13 Belorussian_Behar + Belorussian_Behar + Argyll_1000 Genomes + Canarias_1000 Genomes @ 1.816774
14 Belorussian_Behar + Lithuanians + Canarias_1000 Genomes + Ukranians_Yunusbayev @ 1.826762
15 Dutch_Dodecad + Lithuanians + Russian_B_Behar + Canarias_1000 Genomes @ 1.835945
16 Lithuanian_Dodecad + Hungarians_Behar + Lithuanians + Canarias_1000 Genomes @ 1.851464
17 Lithuanians + Canarias_1000 Genomes + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 1.853640
18 Lithuanians + Orkney_1000 Genomes + Canarias_1000 Genomes + Ukranians_Yunusbayev @ 1.854285
19 Mixed_Germanic_Dodecad + Lithuanians + Russian_B_Behar + Canarias_1000 Genomes @ 1.861220
20 British_Dodecad + Lithuanians + Canarias_1000 Genomes + Ukranians_Yunusbayev @ 1.862011

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

cassiopeia
06-24-2018, 05:54 PM
My results:

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 71.18
2 Southern 13.38
3 Caucasus_Gedrosia 12.54
4 Siberian 1.53
5 Australasian 0.55
6 South_Asian 0.28
7 African 0.28
8 Amerindian 0.26

Single Population Sharing:

# Population (source) Distance
1 Mixed_Germanic (Dodecad) 2.76
2 Hungarians (Behar) 3.44
3 Dutch (Dodecad) 3.52
4 German (Dodecad) 3.98
5 CEU30 (1000Genomes) 4.55
6 Cornwall (1000 Genomes) 4.88
7 Kent (1000 Genomes) 4.93
8 British (Dodecad) 5.03
9 French (HGDP) 5.52
10 British_Isles (Dodecad) 6.04
11 Argyll (1000 Genomes) 6.66
12 Ukranians (Yunusbayev) 6.72
13 French (Dodecad) 6.73
14 Irish (Dodecad) 6.89
15 Orcadian (HGDP) 7.1
16 Orkney (1000 Genomes) 7.45
17 Polish (Dodecad) 8.41
18 Belorussian (Behar) 10.21
19 Norwegian (Dodecad) 10.88
20 Russian_B (Behar) 11.04

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 81.9% Norwegian (Dodecad) + 18.1% Sephardic_Jews (Behar) 0.33
2 78.9% Norwegian (Dodecad) + 21.1% Sicilian (Dodecad) 0.35
3 79.1% Norwegian (Dodecad) + 20.9% S_Italian_Sicilian (Dodecad) 0.4
4 79.4% Norwegian (Dodecad) + 20.6% Ashkenazi (Dodecad) 0.44
5 79.4% Norwegian (Dodecad) + 20.6% S_Italian (Dodecad) 0.47
6 78.8% Norwegian (Dodecad) + 21.2% Ashkenazy_Jews 0.48
7 73.1% Norwegian (Dodecad) + 26.9% O_Italian (Dodecad) 0.48
8 74.9% Norwegian (Dodecad) + 25.1% C_Italian (Dodecad) 0.54
9 69% Ukranians (Yunusbayev) + 31% Cantabria (1000 Genomes) 0.57
10 87.3% Norwegian (Dodecad) + 12.7% Samaritians (Behar) 0.6
11 70.2% Ukranians (Yunusbayev) + 29.8% Aragon (1000 Genomes) 0.65
12 70.7% Swedish (Dodecad) + 29.3% Tuscan (HGDP) 0.65
13 70% Swedish (Dodecad) + 30% TSI30 (Metspalu) 0.65
14 66.6% Ukranians (Yunusbayev) + 33.4% Cataluna (1000 Genomes) 0.7
15 55% French (HGDP) + 45% Ukranians (Yunusbayev) 0.71
16 69.8% Ukranians (Yunusbayev) + 30.2% Spanish (Dodecad) 0.72
17 69.4% Ukranians (Yunusbayev) + 30.6% Valencia (1000 Genomes) 0.73
18 88.2% Norwegian (Dodecad) + 11.8% Yemen_Jews (Behar) 0.73
19 74.3% Swedish (Dodecad) + 25.7% C_Italian (Dodecad) 0.74
20 50% Ukranians (Yunusbayev) + 50% French (Dodecad) 0.75

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

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 3.009865
2 Hungarians_Behar @ 3.825262
3 Dutch_Dodecad @ 3.840082
4 German_Dodecad @ 4.340066
5 CEU30_1000Genomes @ 5.001659
6 Cornwall_1000 Genomes @ 5.402330
7 Kent_1000 Genomes @ 5.465969
8 British_Dodecad @ 5.572431
9 French_HGDP @ 5.815934
10 British_Isles_Dodecad @ 6.693043
11 French_Dodecad @ 7.110881
12 Ukranians_Yunusbayev @ 7.126472
13 Argyll_1000 Genomes @ 7.258271
14 Irish_Dodecad @ 7.557718
15 Orcadian_HGDP @ 7.803465
16 Orkney_1000 Genomes @ 8.209105
17 Polish_Dodecad @ 9.072074
18 Belorussian_Behar @ 10.954163
19 Russian_B_Behar @ 11.647702
20 Russian_Dodecad @ 11.898935

Using 2 populations approximation:
1 50% French_Dodecad +50% Ukranians_Yunusbayev @ 0.686325


Using 3 populations approximation:
1 50% British_Dodecad +25% Russian_Dodecad +25% N_Italian_Dodecad @ 0.269981


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++
1 British_Dodecad + Russian_Dodecad + N_Italian_Dodecad + Kent_1000 Genomes @ 0.000000
2 British_Dodecad + British_Isles_Dodecad + N_Italian_Dodecad + Russian_B_Behar @ 0.000000
3 C_Italian_Dodecad + Swedish_Dodecad + Norwegian_Dodecad + Norwegian_Dodecad @ 0.000000
4 British_Dodecad + N_Italian_Dodecad + Russian_B_Behar + Kent_1000 Genomes @ 0.258849
5 British_Dodecad + British_Dodecad + Russian_Dodecad + N_Italian_Dodecad @ 0.269981
6 British_Dodecad + Russian_Dodecad + N_Italian_Dodecad + Cornwall_1000 Genomes @ 0.269981
7 British_Dodecad + British_Dodecad + N_Italian_Dodecad + Russian_B_Behar @ 0.274775
8 German_Dodecad + Spaniards_Behar + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.274925
9 C_Italian_Dodecad + Swedish_Dodecad + Swedish_Dodecad + Norwegian_Dodecad @ 0.298792
10 Belorussian_Behar + Belorussian_Behar + Hungarians_Behar + Andalucia_1000 Genomes @ 0.299725
11 Irish_Dodecad + Andalucia_1000 Genomes + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.348792
12 C_Italian_Dodecad + Norwegian_Dodecad + Norwegian_Dodecad + Norwegian_Dodecad @ 0.367854
13 British_Dodecad + North_Italian_HGDP + Russian_B_Behar + Argyll_1000 Genomes @ 0.373949
14 German_Dodecad + North_Italian_HGDP + Russian_B_Behar + Orkney_1000 Genomes @ 0.379289
15 Kent_1000 Genomes + Extremadura_1000 Genomes + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.384550
16 German_Dodecad + British_Isles_Dodecad + N_Italian_Dodecad + Russian_B_Behar @ 0.390652
17 N_Italian_Dodecad + CEU30_1000Genomes + Russian_B_Behar + Kent_1000 Genomes @ 0.395078
18 N_Italian_Dodecad + Russian_B_Behar + Kent_1000 Genomes + Kent_1000 Genomes @ 0.396751
19 Polish_Dodecad + Belorussian_Behar + Hungarians_Behar + Andalucia_1000 Genomes @ 0.397970
20 British_Dodecad + Russian_Dodecad + British_Isles_Dodecad + N_Italian_Dodecad @ 0.402513

Nino90
09-11-2018, 08:25 PM
# Primary Population (source) Secondary Population (source) Distance
1 64.7% Russian_B (Behar) + 35.3% Extremadura (1000 Genomes) @ 1.08
2 65.9% Russian_B (Behar) + 34.1% Andalucia (1000 Genomes) @ 1.09
3 65.5% Russian_B (Behar) + 34.5% Portuguese (Dodecad) @ 1.12
4 64.4% Russian_B (Behar) + 35.6% Galicia (1000 Genomes) @ 1.14
5 62.6% Russian (Dodecad) + 37.4% Spaniards (Behar) @ 1.21
6 62.8% Russian_B (Behar) + 37.2% Spaniards (Behar) @ 1.22
7 61.9% Russian (Dodecad) + 38.1% Valencia (1000 Genomes) @ 1.27
8 65% Russian_B (Behar) + 35% Castilla_Y_Leon (1000 Genomes) @ 1.28
9 68.7% Russian_B (Behar) + 31.3% Murcia (1000 Genomes) @ 1.3
10 64.5% Russian_B (Behar) + 35.5% Castilla_La_Mancha (1000 Genomes) @ 1.3
11 65.4% Russian (Dodecad) + 34.6% Portuguese (Dodecad) @ 1.31
12 64.3% Russian (Dodecad) + 35.7% Galicia (1000 Genomes) @ 1.31
13 64.5% Russian (Dodecad) + 35.5% Extremadura (1000 Genomes) @ 1.32
14 62.2% Russian (Dodecad) + 37.8% Spanish (Dodecad) @ 1.34
15 71% Russian_B (Behar) + 29% Canarias (1000 Genomes) @ 1.35
16 64.8% Russian (Dodecad) + 35.2% Castilla_Y_Leon (1000 Genomes) @ 1.37
17 65.7% Russian (Dodecad) + 34.3% Andalucia (1000 Genomes) @ 1.38
18 62.2% Russian_B (Behar) + 37.8% Valencia (1000 Genomes) @ 1.4
19 64.3% Russian (Dodecad) + 35.7% Castilla_La_Mancha (1000 Genomes) @ 1.4
20 59.1% Russian (Dodecad) + 40.9% Cataluna (1000 Genomes) @ 1.41

I guess I got Russian because of high Siberian admixture + Spanish instead of North Italian. And if genetics would be simple mathematics I would be 37.5% North Italian and 62.5% North Swedish I guess this is somewhat similar.

JosephK
09-11-2018, 08:43 PM
# Population Percent
1 Atlantic_Baltic 66.91
2 Southern 14.99
3 Caucasus_Gedrosia 14.11
4 Siberian 2
5 South_Asian 1.67

# Primary Population (source) Secondary Population (source) Distance
1 70.20% Swedish (Dodecad) + 29.80% Ashkenazy_Jews @ 1.29
2 74.60% Swedish (Dodecad) + 25.40% Sephardic_Jews (Behar) @ 1.3
3 71.10% Swedish (Dodecad) + 28.90% Ashkenazi (Dodecad) @ 1.33
4 82.10% Swedish (Dodecad) + 17.90% Samaritians (Behar) @ 1.38
5 71.10% Swedish (Dodecad) + 28.90% S_Italian (Dodecad) @ 1.39
6 70.40% Swedish (Dodecad) + 29.60% Sicilian (Dodecad) @ 1.41
7 97.30% Hungarians (Behar) + 2.70% Mozabite @ 1.44
8 70.70% Swedish (Dodecad) + 29.30% S_Italian_Sicilian (Dodecad) @ 1.45
9 61.30% British_Isles (Dodecad) + 38.70% Romanians (Behar) @ 1.46
10 63.70% British (Dodecad) + 36.30% Romanians (Behar) @ 1.46
11 92.20% Hungarians (Behar) + 7.80% Canarias (1000 Genomes) @ 1.47
12 97.40% Hungarians (Behar) + 2.60% Moroccans (Behar) @ 1.48
13 82.70% Swedish (Dodecad) + 17.30% Saudis (Behar) @ 1.51
14 83.40% Swedish (Dodecad) + 16.60% Yemen_Jews (Behar) @ 1.51
15 91.40% Hungarians (Behar) + 8.60% Murcia (1000 Genomes) @ 1.52
16 53.40% Russian_B (Behar) + 46.60% North_Italian (HGDP) @ 1.52
17 63.30% Ukranians (Yunusbayev) + 36.70% North_Italian (HGDP) @ 1.53
18 89.70% Hungarians (Behar) + 10.30% Extremadura (1000 Genomes) @ 1.53
19 90.20% Hungarians (Behar) + 9.80% Portuguese (Dodecad) @ 1.53
20 89.80% Hungarians (Behar) + 10.20% Galicia (1000 Genomes) @ 1.54

Using 2 populations approximation:
1 50% N_Italian_Dodecad +50% Russian_B_Behar @ 1.770296


Using 3 populations approximation:
1 50% Belorussian_Behar +25% Romanians_Behar +25% Andalucia_1000 Genomes @ 1.005504


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++
1 Russian_Dodecad + Polish_Dodecad + Romanians_Behar + Galicia_1000 Genomes @ 0.713638
2 Russian_Dodecad + Polish_Dodecad + Romanians_Behar + Castilla_La_Mancha_1000 Genomes @ 0.765453
3 Russian_Dodecad + Polish_Dodecad + Romanians_Behar + Spaniards_Behar @ 0.777296
4 Russian_Dodecad + Dutch_Dodecad + Romanians_Behar + Cataluna_1000 Genomes @ 0.783218
5 Russian_Dodecad + Romanians_Behar + Aragon_1000 Genomes + Ukranians_Yunusbayev @ 0.829389
6 Russian_Dodecad + Polish_Dodecad + Romanians_Behar + Extremadura_1000 Genomes @ 0.830632
7 Irish_Dodecad + Finnish_Dodecad + N_Italian_Dodecad + Romanians_Behar @ 0.854729
8 Russian_Dodecad + Romanians_Behar + Spaniards_Behar + Argyll_1000 Genomes @ 0.858335
9 Russian_Dodecad + Swedish_Dodecad + Romanians_Behar + Baleares_1000 Genomes @ 0.868448
10 Irish_Dodecad + N_Italian_Dodecad + Romanians_Behar + FIN30_1000Genomes @ 0.873337
11 N_Italian_Dodecad + Romanians_Behar + FIN30_1000Genomes + Orkney_1000 Genomes @ 0.881795
12 Polish_Dodecad + Romanians_Behar + Russian_B_Behar + Galicia_1000 Genomes @ 0.881856
13 N_Italian_Dodecad + Orcadian_HGDP + Romanians_Behar + FIN30_1000Genomes @ 0.893196
14 Russian_Dodecad + German_Dodecad + Romanians_Behar + Cataluna_1000 Genomes @ 0.895055
15 Russian_Dodecad + Polish_Dodecad + Romanians_Behar + Castilla_Y_Leon_1000 Genomes @ 0.895921
16 Romanians_Behar + Russian_B_Behar + Aragon_1000 Genomes + Ukranians_Yunusbayev @ 0.897066
17 Belorussian_Behar + Romanians_Behar + Cataluna_1000 Genomes + Ukranians_Yunusbayev @ 0.899045
18 North_Italian_HGDP + Romanians_Behar + FIN30_1000Genomes + Argyll_1000 Genomes @ 0.900349
19 Russian_Dodecad + Romanians_Behar + Argyll_1000 Genomes + Cataluna_1000 Genomes @ 0.900445
20 Irish_Dodecad + Romanians_Behar + Cataluna_1000 Genomes + Mordovians_Yunusbayev @ 0.901783


The fact that they got 1/4 Polish correct makes this one of the most accurate Oracles for me...

Nino90
09-12-2018, 10:05 AM
#

The fact that they got 1/4 Polish correct makes this one of the most accurate Oracles for me...

What is your known ancestry? Italian or part jewish?

JosephK
09-12-2018, 02:19 PM
What is your known ancestry? Italian or part jewish?

Nope. 1/4 Polish, 1/4 Slovak, 1/4 Hungarian-Romany, 1/4 American Anglo-Scots-Irish

Well-known ancestors and good paper trail, no known Jewish ancestors anywhere...

Nino90
09-12-2018, 02:58 PM
Nope. 1/4 Polish, 1/4 Slovak, 1/4 Hungarian-Romany, 1/4 American Anglo-Scots-Irish

Well-known ancestors and good paper trail, no known Jewish ancestors anywhere...

Thank you. Would you mind posting World9 Oracle. Not the Oracle-4?

JosephK
09-12-2018, 05:07 PM
Thank you. Would you mind posting World9 Oracle. Not the Oracle-4?

I've got the World 9 Oracles (2-pop and 4-pop) in that last post... or did you mean a different calculator?

Nino90
09-13-2018, 07:00 AM
I've got the World 9 Oracles (2-pop and 4-pop) in that last post... or did you mean a different calculator?

Sorry did just check fast. You really got high South European. Exactly how much Romani are you?

JerryS.
09-13-2018, 11:51 AM
Sorry did just check fast. You really got high South European. Exactly how much Romani are you?

yeah I saw that too. id say hes got enough southern European that his results look similar to mine. more middle eastern and less south Asia.

JosephK, what does you Jtest oracle show 1-20?

JosephK
09-13-2018, 02:17 PM
yeah I saw that too. id say hes got enough southern European that his results look similar to mine. more middle eastern and less south Asia.

JosephK, what does you Jtest oracle show 1-20?

I'm guessing my JTest also looks similar to yours... My wife and I look really similar in everything, with her being 1/2 Slavic and 1/4 Southern Italian.
It seems like I picked up more North African and less South Asian from the Romany Side, which seems to make calculators unreliable...

Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++++
1 Druze + EE + LIT + Scottish @ 7.278125
2 Druze + EE + EE + Scottish @ 7.344797
3 Druze + EE + EE + Orcadian @ 7.682416
4 Druze + LIT + LIT + Scottish @ 7.688012
5 Druze + EE + LIT + Orcadian @ 7.694670
6 Cornish + Druze + EE + EE @ 7.750928
7 Cornish + Druze + EE + LIT @ 7.781669
8 Druze + LIT + Scottish + South_Finnish @ 7.783898
9 Druze + EE + IE + LIT @ 7.839608
10 Druze + EE + Northwest_Russian + Scottish @ 7.882059
11 Druze + EE + EE + IE @ 7.891013
12 DK + Druze + EE + EE @ 7.957469
13 Belorussian + Druze + EE + Scottish @ 7.966549
14 Druze + EE + EE + English @ 7.992622
15 DK + Druze + EE + LIT @ 8.009912
16 Druze + EE + English + LIT @ 8.017323
17 EE + EE + Samaritan + Scottish @ 8.034405
18 Druze + EE + EE + South_&_Central_Swedish @ 8.046175
19 Druze + EE + EE + NO @ 8.060645
20 EE + LIT + Samaritan + Scottish @ 8.079000

JosephK
09-13-2018, 02:22 PM
Sorry did just check fast. You really got high South European. Exactly how much Romani are you?

It's hard to say "exactly"; my grandmother was "Gypsy" but her parents were from Hungary, and it seems they may have been mixed more with Hungarian than, say, a "full-blooded" Balkan Romany, at least in terms of South Asian; but that seems to have been the case with the Hungarian-Slovak Gypsy community they were part of. Unfortunately, since my father was taken away by the state and raised in an orphanage, I never got to know her very well and don't have more detailed info other than tidbits from other family...

JerryS.
09-13-2018, 08:14 PM
I'm guessing my JTest also looks similar to yours... My wife and I look really similar in everything, with her being 1/2 Slavic and 1/4 Southern Italian.
It seems like I picked up more North African and less South Asian from the Romany Side, which seems to make calculators unreliable...

Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++++
1 Druze + EE + LIT + Scottish @ 7.278125
2 Druze + EE + EE + Scottish @ 7.344797
3 Druze + EE + EE + Orcadian @ 7.682416
4 Druze + LIT + LIT + Scottish @ 7.688012
5 Druze + EE + LIT + Orcadian @ 7.694670
6 Cornish + Druze + EE + EE @ 7.750928
7 Cornish + Druze + EE + LIT @ 7.781669
8 Druze + LIT + Scottish + South_Finnish @ 7.783898
9 Druze + EE + IE + LIT @ 7.839608
10 Druze + EE + Northwest_Russian + Scottish @ 7.882059
11 Druze + EE + EE + IE @ 7.891013
12 DK + Druze + EE + EE @ 7.957469
13 Belorussian + Druze + EE + Scottish @ 7.966549
14 Druze + EE + EE + English @ 7.992622
15 DK + Druze + EE + LIT @ 8.009912
16 Druze + EE + English + LIT @ 8.017323
17 EE + EE + Samaritan + Scottish @ 8.034405
18 Druze + EE + EE + South_&_Central_Swedish @ 8.046175
19 Druze + EE + EE + NO @ 8.060645
20 EE + LIT + Samaritan + Scottish @ 8.079000

what does the regular oracle show with the Jtest?

JosephK
09-13-2018, 08:25 PM
Here's the regular JTest--!

# Population Percent
1 SOUTH_BALTIC 22.7
2 ATLANTIC 19.48
3 NORTH-CENTRAL_EURO 18.57
4 EAST_EURO 13.63
5 EAST_MED 11.91
6 ASHKENAZI 4.68
7 WEST_MED 4.01
8 MIDDLE_EASTERN 3.57
9 SOUTH_ASIAN 1.05

1 AT @ 11.098427
2 HU @ 11.196002
3 Serbian @ 13.607108
4 PL @ 14.977449
5 UA @ 16.461407
6 RO @ 16.609343
7 West_&_Central_German @ 16.823982
8 West_Russian @ 18.043774
9 Ukrainian-Russian @ 18.385784
10 South_Finnish @ 18.406603
11 North_Swedish @ 18.459585
12 NL @ 18.579590
13 South_&_Central_Swedish @ 18.807232
14 Belorussian @ 19.008530
15 EE @ 19.753153
16 NO @ 19.825268
17 DK @ 20.015921
18 English @ 20.829914
19 Cornish @ 20.881264
20 Orcadian @ 21.204689

# Primary Population (source) Secondary Population (source) Distance
1 62.40% EE + 37.60% Tuscan @ 7.67
2 66.50% EE + 33.50% South_Italian_&_Sicilian @ 7.75
3 67.30% EE + 32.70% GR @ 8.25
4 77.20% AT + 22.80% LIT @ 8.27
5 58.60% EE + 41.40% North_Italian @ 8.28
6 73.10% AT + 26.90% EE @ 8.3
7 72.20% AT + 27.80% Belorussian @ 8.3
8 76.20% AT + 23.80% Northwest_Russian @ 8.4
9 63% Serbian + 37% EE @ 8.4
10 64.90% AT + 35.10% PL @ 8.41
11 69.90% AT + 30.10% UA @ 8.66
12 76.50% EE + 23.50% Druze @ 8.68
13 72.20% PL + 27.80% Tuscan @ 8.68
14 73.80% AT + 26.20% Ukrainian-Russian @ 8.76
15 73.20% AT + 26.80% West_Russian @ 8.77
16 64.10% Belorussian + 35.90% Tuscan @ 8.83
17 83.50% PL + 16.50% Druze @ 8.87
18 57.50% LIT + 42.50% Tuscan @ 8.88
19 76.10% PL + 23.90% South_Italian_&_Sicilian @ 8.91
20 53.40% Serbian + 46.60% PL @ 8.93

JerryS.
09-14-2018, 12:16 PM
Here's the regular JTest--!

# Population Percent
1 SOUTH_BALTIC 22.7
2 ATLANTIC 19.48
3 NORTH-CENTRAL_EURO 18.57
4 EAST_EURO 13.63
5 EAST_MED 11.91
6 ASHKENAZI 4.68
7 WEST_MED 4.01
8 MIDDLE_EASTERN 3.57
9 SOUTH_ASIAN 1.05

1 AT @ 11.098427
2 HU @ 11.196002
3 Serbian @ 13.607108
4 PL @ 14.977449
5 UA @ 16.461407
6 RO @ 16.609343
7 West_&_Central_German @ 16.823982
8 West_Russian @ 18.043774
9 Ukrainian-Russian @ 18.385784
10 South_Finnish @ 18.406603
11 North_Swedish @ 18.459585
12 NL @ 18.579590
13 South_&_Central_Swedish @ 18.807232
14 Belorussian @ 19.008530
15 EE @ 19.753153
16 NO @ 19.825268
17 DK @ 20.015921
18 English @ 20.829914
19 Cornish @ 20.881264
20 Orcadian @ 21.204689

# Primary Population (source) Secondary Population (source) Distance
1 62.40% EE + 37.60% Tuscan @ 7.67
2 66.50% EE + 33.50% South_Italian_&_Sicilian @ 7.75
3 67.30% EE + 32.70% GR @ 8.25
4 77.20% AT + 22.80% LIT @ 8.27
5 58.60% EE + 41.40% North_Italian @ 8.28
6 73.10% AT + 26.90% EE @ 8.3
7 72.20% AT + 27.80% Belorussian @ 8.3
8 76.20% AT + 23.80% Northwest_Russian @ 8.4
9 63% Serbian + 37% EE @ 8.4
10 64.90% AT + 35.10% PL @ 8.41
11 69.90% AT + 30.10% UA @ 8.66
12 76.50% EE + 23.50% Druze @ 8.68
13 72.20% PL + 27.80% Tuscan @ 8.68
14 73.80% AT + 26.20% Ukrainian-Russian @ 8.76
15 73.20% AT + 26.80% West_Russian @ 8.77
16 64.10% Belorussian + 35.90% Tuscan @ 8.83
17 83.50% PL + 16.50% Druze @ 8.87
18 57.50% LIT + 42.50% Tuscan @ 8.88
19 76.10% PL + 23.90% South_Italian_&_Sicilian @ 8.91
20 53.40% Serbian + 46.60% PL @ 8.93

im no expert, not by far, but it looks to me like you should reconsider your romany ancestry and look to something else which explains such readings.

Nino90
09-14-2018, 12:38 PM
im no expert, not by far, but it looks to me like you should reconsider your romany ancestry and look to something else which explains such readings.

Agree. Maybe jewish.

JosephK
09-14-2018, 02:45 PM
Agree. Maybe jewish.

Yeah I have to admit my DNA results were a little confusing, and that's why I ended up on these boards... Although my dad was raised in an orphanage, his mother and family is no 'mystery' to me, we are well aware of the family, there are no real 'gaps' in my family history or knowledge. I started digging into possible Jewish ancestry, and no, it doesn't pan out, at least in a recent enough generation to have affected my DNA so much. (Nor could I imagine someone lying about being a Gypsy to hide being Jewish!). I suppose that's why I started hanging out on the board and trying to help people who were similarly confused.

Other members of my family the Romany is much more noticeable genetically, but for some reason I got stuck with this North African that usually shows up around 3% in most GEDMatch calculators, that really throws things off (or, due to the nature of these tests, it's mistakenly read as North African). It does make me curious about where it may have come from, perhaps it's something I don't know about another grandparent.

But if I've learned anything from these calculators, it's not to put much faith into them. The fact that almost no calculator (without phasing) can recognize the Italian in my wife is a good indicator...believe me, she's a quarter Italian...

Nino90
09-14-2018, 03:04 PM
Yeah I have to admit my DNA results were a little confusing, and that's why I ended up on these boards... Although my dad was raised in an orphanage, his mother and family is no 'mystery' to me, we are well aware of the family, there are no real 'gaps' in my family history or knowledge. I started digging into possible Jewish ancestry, and no, it doesn't pan out, at least in a recent enough generation to have affected my DNA so much. (Nor could I imagine someone lying about being a Gypsy to hide being Jewish!). I suppose that's why I started hanging out on the board and trying to help people who were similarly confused.

Other members of my family the Romany is much more noticeable genetically, but for some reason I got stuck with this North African that usually shows up around 3% in most GEDMatch calculators, that really throws things off (or, due to the nature of these tests, it's mistakenly read as North African). It does make me curious about where it may have come from, perhaps it's something I don't know about another grandparent.

But if I've learned anything from these calculators, it's not to put much faith into them. The fact that almost no calculator (without phasing) can recognize the Italian in my wife is a good indicator...believe me, she's a quarter Italian...

Thank you for your answer. Yes I agree it's hard to tell on genetics results overall. Same for me. I know my family history well but the DNA-results fits bad and most gedmatch don't pick up my Italian either and then I am 100% sure of Italian heritage since my grandfather was full Italian and grandmother was half-Italian.

Do you mind sharing your gedmatch kit number?

JerryS.
09-14-2018, 03:13 PM
Yeah I have to admit my DNA results were a little confusing, and that's why I ended up on these boards... Although my dad was raised in an orphanage, his mother and family is no 'mystery' to me, we are well aware of the family, there are no real 'gaps' in my family history or knowledge. I started digging into possible Jewish ancestry, and no, it doesn't pan out, at least in a recent enough generation to have affected my DNA so much. (Nor could I imagine someone lying about being a Gypsy to hide being Jewish!). I suppose that's why I started hanging out on the board and trying to help people who were similarly confused.

Other members of my family the Romany is much more noticeable genetically, but for some reason I got stuck with this North African that usually shows up around 3% in most GEDMatch calculators, that really throws things off (or, due to the nature of these tests, it's mistakenly read as North African). It does make me curious about where it may have come from, perhaps it's something I don't know about another grandparent.

But if I've learned anything from these calculators, it's not to put much faith into them. The fact that almost no calculator (without phasing) can recognize the Italian in my wife is a good indicator...believe me, she's a quarter Italian...

I understand. my Italian heritage is traceable for one ancestor back to 1905 when he left Calabria. the other ancestor was supposedly half Italian and they say that was from Genova. I tried to research the last name (Basconi) without any luck for that region. and yes, these calculators are bias one way or another. I can register as a little more than 1/4 on one and virtually none on another; but most put me in the 1/5 range averaged out. my mom's side was easy enough to trace to S.E. England, Scotland (though I don't know where in Scotland) and Northern Germany. my dad's side traced to Western England near Wales and Scottish via Colonial American, and south Italian with one ancestor being full South Italian (born there) and another being half Italian born here. I even wondered about my Mediterranean coming from Albanian or even Greece because of some calculators throwing those countries in the mix or occasion, sometimes regularly.

good luck unraveling you mystery.

JosephK
09-14-2018, 05:16 PM
I understand. my Italian heritage is traceable for one ancestor back to 1905 when he left Calabria. the other ancestor was supposedly half Italian and they say that was from Genova. I tried to research the last name (Basconi) without any luck for that region. and yes, these calculators are bias one way or another. I can register as a little more than 1/4 on one and virtually none on another; but most put me in the 1/5 range averaged out. my mom's side was easy enough to trace to S.E. England, Scotland (though I don't know where in Scotland) and Northern Germany. my dad's side traced to Western England near Wales and Scottish via Colonial American, and south Italian with one ancestor being full South Italian (born there) and another being half Italian born here. I even wondered about my Mediterranean coming from Albanian or even Greece because of some calculators throwing those countries in the mix or occasion, sometimes regularly.

good luck unraveling you mystery.

Here's my wife, who should resemble you (1/4 Southern Italian-Calabria, 1/4 Colonial American, 1/4 Polish, 1/4 Lithuanian):
# Population Percent
1 Atlantic_Baltic 66.32
2 Caucasus_Gedrosia 15.77
3 Southern 15.4
4 Siberian 1.65
5 South_Asian 0.5
6 Australasian 0.17
7 East_Asian 0.12
8 African 0.07

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 2.46
2 French (HGDP) 6.17
3 French (Dodecad) 7.59
4 Mixed_Germanic (Dodecad) 7.9
5 Dutch (Dodecad) 8.61
6 German (Dodecad) 9.2
7 CEU30 (1000Genomes) 9.9
8 Ukranians (Yunusbayev) 9.98
9 Cornwall (1000 Genomes) 10.25
10 Kent (1000 Genomes) 10.33
11 British (Dodecad) 10.47
12 British_Isles (Dodecad) 11.47
13 Argyll (1000 Genomes) 11.72
14 Irish (Dodecad) 12.13
15 Cataluna (1000 Genomes) 12.26
16 Orcadian (HGDP) 12.41
17 Orkney (1000 Genomes) 12.82
18 Polish (Dodecad) 13.05
19 Bulgarians (Yunusbayev) 13.57
20 Valencia (1000 Genomes) 13.89

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 54.40% Bulgarians (Yunusbayev) + 45.60% Norwegian (Dodecad) @ 0.48
2 54.80% Bulgarians (Yunusbayev) + 45.20% Swedish (Dodecad) @ 0.51
3 93.90% Hungarians (Behar) + 6.10% S_Italian (Dodecad) @ 0.52
4 92.80% Hungarians (Behar) + 7.20% Greek (Dodecad) @ 0.52
5 96.70% Hungarians (Behar) + 3.30% Samaritians (Behar) @ 0.52
6 84.90% Hungarians (Behar) + 15.10% Bulgarians (Yunusbayev) @ 0.53
7 93.70% Hungarians (Behar) + 6.30% S_Italian_Sicilian (Dodecad) @ 0.53
8 94.90% Hungarians (Behar) + 5.10% Sephardic_Jews (Behar) @ 0.54
9 65.40% Swedish (Dodecad) + 34.60% Greek (Dodecad) @ 0.54
10 93.60% Hungarians (Behar) + 6.40% Ashkenazy_Jews @ 0.55
11 93.70% Hungarians (Behar) + 6.30% Sicilian (Dodecad) @ 0.55
12 95.60% Hungarians (Behar) + 4.40% Cypriots (Behar) @ 0.55
13 93.90% Hungarians (Behar) + 6.10% Ashkenazi (Dodecad) @ 0.56
14 92% Hungarians (Behar) + 8% C_Italian (Dodecad) @ 0.58
15 91.10% Hungarians (Behar) + 8.90% O_Italian (Dodecad) @ 0.59
16 76.10% Swedish (Dodecad) + 23.90% Cypriots (Behar) @ 0.59
17 97% Hungarians (Behar) + 3% Yemen_Jews (Behar) @ 0.59
18 86% Hungarians (Behar) + 14% Bulgarian (Dodecad) @ 0.6
19 96.30% Hungarians (Behar) + 3.70% Druze (HGDP) @ 0.61
20 96.80% Hungarians (Behar) + 3.20% Saudis (Behar) @ 0.61


Using 2 populations approximation:
1 50% Norwegian_Dodecad +50% Bulgarian_Dodecad @ 0.952052


Using 3 populations approximation:
1 50% Polish_Dodecad +25% C_Italian_Dodecad +25% Hungarians_Behar @ 0.707187


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++
1 French_HGDP + Hungarians_Behar + Bulgarians_Yunusbayev + Ukranians_Yunusbayev @ 0.273712
2 Russian_Dodecad + Greek_Dodecad + Mixed_Germanic_Dodecad + Kent_1000 Genomes @ 0.300100
3 Russian_Dodecad + Greek_Dodecad + Dutch_Dodecad + Cornwall_1000 Genomes @ 0.325050
4 Russian_Dodecad + Greek_Dodecad + Dutch_Dodecad + Kent_1000 Genomes @ 0.325150
5 British_Dodecad + Russian_Dodecad + Greek_Dodecad + Mixed_Germanic_Dodecad @ 0.356767
6 Polish_Dodecad + Greek_Dodecad + Norwegian_Dodecad + Hungarians_Behar @ 0.374161
7 Russian_Dodecad + Greek_Dodecad + Mixed_Germanic_Dodecad + Cornwall_1000 Genomes @ 0.410037
8 British_Dodecad + Russian_Dodecad + Greek_Dodecad + Dutch_Dodecad @ 0.429926
9 C_Italian_Dodecad + Swedish_Dodecad + Hungarians_Behar + Ukranians_Yunusbayev @ 0.441481
10 Russian_Dodecad + Greek_Dodecad + Mixed_Germanic_Dodecad + British_Isles_Dodecad @ 0.445239
11 Polish_Dodecad + North_Italian_HGDP + Russian_B_Behar + Bulgarians_Yunusbayev @ 0.458261
12 S_Italian_Dodecad + French_HGDP + Lithuanians + Russian_B_Behar @ 0.458748
13 British_Dodecad + Greek_Dodecad + Mixed_Germanic_Dodecad + Russian_B_Behar @ 0.460631
14 Bulgarian_Dodecad + North_Italian_HGDP + Belorussian_Behar + Belorussian_Behar @ 0.479771
15 C_Italian_Dodecad + Cornwall_1000 Genomes + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.484249
16 Russian_Dodecad + Greek_Dodecad + German_Dodecad + Cornwall_1000 Genomes @ 0.491760
17 Dutch_Dodecad + O_Italian_Dodecad + Hungarians_Behar + Russian_B_Behar @ 0.493468
18 Greek_Dodecad + French_HGDP + Belorussian_Behar + Belorussian_Behar @ 0.499736
19 British_Dodecad + Swedish_Dodecad + Bulgarians_Yunusbayev + Bulgarians_Yunusbayev @ 0.505841
20 C_Italian_Dodecad + Norwegian_Dodecad + Hungarians_Behar + Ukranians_Yunusbayev @ 0.509182

JosephK
09-14-2018, 05:22 PM
Thank you for your answer. Yes I agree it's hard to tell on genetics results overall. Same for me. I know my family history well but the DNA-results fits bad and most gedmatch don't pick up my Italian either and then I am 100% sure of Italian heritage since my grandfather was full Italian and grandmother was half-Italian.

Do you mind sharing your gedmatch kit number?

I'm pretty paranoid about sharing my kit number... actually I'm pretty paranoid about everything...!

I should have mentioned that one of the things I did really learn from DNA testing is that my paternal grandmother was by no means a "full-blooded" Gypsy, at least going by South Asian numbers. I would guess her South Asian to be around 12%, rather than the 20-24% that most GEDMatch spreadsheets show.

Also, Dodecad doesn't have Roma samples so it's not helpful...

Here's the World 9 of a second cousin (I think: Hungarian-Romany, actual Hungarian, Austrian, Anglo-Irish):

# Population Percent
1 Atlantic_Baltic 70.03
2 Caucasus_Gedrosia 14.38
3 Southern 10.88
4 Siberian 2.45
5 South_Asian 2.08
6 Amerindian 0.18

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 3.75
2 Ukranians (Yunusbayev) 4.8
3 Dutch (Dodecad) 4.94
4 Mixed_Germanic (Dodecad) 5.1
5 German (Dodecad) 5.38
6 CEU30 (1000Genomes) 5.98
7 British (Dodecad) 6.69
8 Kent (1000 Genomes) 6.77
9 Cornwall (1000 Genomes) 6.78
10 Argyll (1000 Genomes) 7.05
11 British_Isles (Dodecad) 7.53
12 Irish (Dodecad) 7.69
13 Polish (Dodecad) 7.88
14 Orcadian (HGDP) 8.02
15 French (HGDP) 8.38
16 Orkney (1000 Genomes) 8.42
17 Belorussian (Behar) 9.31
18 Russian_B (Behar) 9.37
19 Russian (Dodecad) 9.41
20 French (Dodecad) 9.7

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 64.30% Swedish (Dodecad) + 35.70% Romanians (Behar) @ 1.23
2 87.70% British_Isles (Dodecad) + 12.30% Tajiks (Yunusbayev) @ 1.37
3 87.40% Orkney (1000 Genomes) + 12.60% Turkmens (Yunusbayev) @ 1.44
4 73% Hungarians (Behar) + 27% Russian (Dodecad) @ 1.5
5 89% British (Dodecad) + 11% Tajiks (Yunusbayev) @ 1.56
6 85.70% Norwegian (Dodecad) + 14.30% Iranians (Behar) @ 1.56
7 72.40% Polish (Dodecad) + 27.60% Romanians (Behar) @ 1.59
8 88.40% Irish (Dodecad) + 11.60% Turkmens (Yunusbayev) @ 1.59
9 82.50% Swedish (Dodecad) + 17.50% Turkish (Dodecad) @ 1.64
10 86.70% Swedish (Dodecad) + 13.30% Iraq_Jews (Behar) @ 1.65
11 73.30% Hungarians (Behar) + 26.70% Russian_B (Behar) @ 1.65
12 90.20% CEU30 (1000Genomes) + 9.80% Tajiks (Yunusbayev) @ 1.66
13 86.80% Swedish (Dodecad) + 13.20% Iranian_Jews (Behar) @ 1.66
14 85.60% Swedish (Dodecad) + 14.40% Syrians (Behar) @ 1.67
15 89% Kent (1000 Genomes) + 11% Tajiks (Yunusbayev) @ 1.7
16 89.90% Belorussian (Behar) + 10.10% Yemen_Jews (Behar) @ 1.7
17 82.20% Hungarians (Behar) + 17.80% FIN30 (1000Genomes) @ 1.71
18 82.30% Ukranians (Yunusbayev) + 17.70% North_Italian (HGDP) @ 1.71
19 81.10% Ukranians (Yunusbayev) + 18.90% Baleares (1000 Genomes) @ 1.73
20 85.70% Swedish (Dodecad) + 14.30% Uzbekistan_Jews @ 1.73


Using 2 populations approximation:
1 50% Hungarians_Behar +50% Ukranians_Yunusbayev @ 2.060606


Using 3 populations approximation:
1 50% Irish_Dodecad +25% Russian_HGDP +25% Romanians_Behar @ 0.792751


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++
1 British_Isles_Dodecad + Russian_HGDP + Romanians_Behar + Argyll_1000 Genomes @ 0.728777
2 Russian_HGDP + Romanians_Behar + Orkney_1000 Genomes + Argyll_1000 Genomes @ 0.781702
3 Irish_Dodecad + Irish_Dodecad + Russian_HGDP + Romanians_Behar @ 0.792751
4 Irish_Dodecad + British_Isles_Dodecad + Russian_HGDP + Romanians_Behar @ 0.793528
5 Irish_Dodecad + Orcadian_HGDP + Russian_HGDP + Romanians_Behar @ 0.805696
6 Irish_Dodecad + Russian_HGDP + Romanians_Behar + Argyll_1000 Genomes @ 0.811243
7 Russian_Dodecad + Polish_Dodecad + British_Isles_Dodecad + Romanians_Behar @ 0.824466
8 Orcadian_HGDP + Russian_HGDP + Romanians_Behar + Argyll_1000 Genomes @ 0.825768
9 Irish_Dodecad + Russian_HGDP + Romanians_Behar + Orkney_1000 Genomes @ 0.835214
10 Romanians_Behar + Orkney_1000 Genomes + Orkney_1000 Genomes + Mordovians_Yunusbayev @ 0.839065
11 Russian_Dodecad + Swedish_Dodecad + Mixed_Germanic_Dodecad + Romanians_Behar @ 0.850126
12 Russian_Dodecad + Lithuanian_Dodecad + French_HGDP + Romanians_Behar @ 0.861306
13 British_Isles_Dodecad + Orcadian_HGDP + Russian_HGDP + Romanians_Behar @ 0.871594
14 British_Isles_Dodecad + Russian_HGDP + Romanians_Behar + Orkney_1000 Genomes @ 0.895436
15 Irish_Dodecad + Russian_HGDP + CEU30_1000Genomes + Romanians_Behar @ 0.895844
16 British_Dodecad + Irish_Dodecad + Russian_HGDP + Romanians_Behar @ 0.898664
17 Russian_HGDP + Romanians_Behar + Cornwall_1000 Genomes + Argyll_1000 Genomes @ 0.902611
18 Russian_HGDP + CEU30_1000Genomes + Romanians_Behar + Orkney_1000 Genomes @ 0.903576
19 British_Dodecad + Russian_HGDP + Romanians_Behar + Argyll_1000 Genomes @ 0.903901
20 Russian_HGDP + Romanians_Behar + Kent_1000 Genomes + Argyll_1000 Genomes @ 0.915257

On several calculators with Roma samples, he's picked up as between 9 and 19% Romani in Oracles.

JerryS.
09-14-2018, 05:37 PM
I'm pretty paranoid about sharing my kit number... actually I'm pretty paranoid about everything...!

I should have mentioned that one of the things I did really learn from DNA testing is that my paternal grandmother was by no means a "full-blooded" Gypsy, at least going by South Asian numbers. I would guess her South Asian to be around 12%, rather than the 20-24% that most GEDMatch spreadsheets show.

Also, Dodecad doesn't have Roma samples so it's not helpful...

Here's the World 9 of a second cousin (I think: Hungarian-Romany, actual Hungarian, Austrian, Anglo-Irish):

# Population Percent
1 Atlantic_Baltic 70.03
2 Caucasus_Gedrosia 14.38
3 Southern 10.88
4 Siberian 2.45
5 South_Asian 2.08
6 Amerindian 0.18

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 3.75
2 Ukranians (Yunusbayev) 4.8
3 Dutch (Dodecad) 4.94
4 Mixed_Germanic (Dodecad) 5.1
5 German (Dodecad) 5.38
6 CEU30 (1000Genomes) 5.98
7 British (Dodecad) 6.69
8 Kent (1000 Genomes) 6.77
9 Cornwall (1000 Genomes) 6.78
10 Argyll (1000 Genomes) 7.05
11 British_Isles (Dodecad) 7.53
12 Irish (Dodecad) 7.69
13 Polish (Dodecad) 7.88
14 Orcadian (HGDP) 8.02
15 French (HGDP) 8.38
16 Orkney (1000 Genomes) 8.42
17 Belorussian (Behar) 9.31
18 Russian_B (Behar) 9.37
19 Russian (Dodecad) 9.41
20 French (Dodecad) 9.7

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 64.30% Swedish (Dodecad) + 35.70% Romanians (Behar) @ 1.23
2 87.70% British_Isles (Dodecad) + 12.30% Tajiks (Yunusbayev) @ 1.37
3 87.40% Orkney (1000 Genomes) + 12.60% Turkmens (Yunusbayev) @ 1.44
4 73% Hungarians (Behar) + 27% Russian (Dodecad) @ 1.5
5 89% British (Dodecad) + 11% Tajiks (Yunusbayev) @ 1.56
6 85.70% Norwegian (Dodecad) + 14.30% Iranians (Behar) @ 1.56
7 72.40% Polish (Dodecad) + 27.60% Romanians (Behar) @ 1.59
8 88.40% Irish (Dodecad) + 11.60% Turkmens (Yunusbayev) @ 1.59
9 82.50% Swedish (Dodecad) + 17.50% Turkish (Dodecad) @ 1.64
10 86.70% Swedish (Dodecad) + 13.30% Iraq_Jews (Behar) @ 1.65
11 73.30% Hungarians (Behar) + 26.70% Russian_B (Behar) @ 1.65
12 90.20% CEU30 (1000Genomes) + 9.80% Tajiks (Yunusbayev) @ 1.66
13 86.80% Swedish (Dodecad) + 13.20% Iranian_Jews (Behar) @ 1.66
14 85.60% Swedish (Dodecad) + 14.40% Syrians (Behar) @ 1.67
15 89% Kent (1000 Genomes) + 11% Tajiks (Yunusbayev) @ 1.7
16 89.90% Belorussian (Behar) + 10.10% Yemen_Jews (Behar) @ 1.7
17 82.20% Hungarians (Behar) + 17.80% FIN30 (1000Genomes) @ 1.71
18 82.30% Ukranians (Yunusbayev) + 17.70% North_Italian (HGDP) @ 1.71
19 81.10% Ukranians (Yunusbayev) + 18.90% Baleares (1000 Genomes) @ 1.73
20 85.70% Swedish (Dodecad) + 14.30% Uzbekistan_Jews @ 1.73


Using 2 populations approximation:
1 50% Hungarians_Behar +50% Ukranians_Yunusbayev @ 2.060606


Using 3 populations approximation:
1 50% Irish_Dodecad +25% Russian_HGDP +25% Romanians_Behar @ 0.792751


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++
1 British_Isles_Dodecad + Russian_HGDP + Romanians_Behar + Argyll_1000 Genomes @ 0.728777
2 Russian_HGDP + Romanians_Behar + Orkney_1000 Genomes + Argyll_1000 Genomes @ 0.781702
3 Irish_Dodecad + Irish_Dodecad + Russian_HGDP + Romanians_Behar @ 0.792751
4 Irish_Dodecad + British_Isles_Dodecad + Russian_HGDP + Romanians_Behar @ 0.793528
5 Irish_Dodecad + Orcadian_HGDP + Russian_HGDP + Romanians_Behar @ 0.805696
6 Irish_Dodecad + Russian_HGDP + Romanians_Behar + Argyll_1000 Genomes @ 0.811243
7 Russian_Dodecad + Polish_Dodecad + British_Isles_Dodecad + Romanians_Behar @ 0.824466
8 Orcadian_HGDP + Russian_HGDP + Romanians_Behar + Argyll_1000 Genomes @ 0.825768
9 Irish_Dodecad + Russian_HGDP + Romanians_Behar + Orkney_1000 Genomes @ 0.835214
10 Romanians_Behar + Orkney_1000 Genomes + Orkney_1000 Genomes + Mordovians_Yunusbayev @ 0.839065
11 Russian_Dodecad + Swedish_Dodecad + Mixed_Germanic_Dodecad + Romanians_Behar @ 0.850126
12 Russian_Dodecad + Lithuanian_Dodecad + French_HGDP + Romanians_Behar @ 0.861306
13 British_Isles_Dodecad + Orcadian_HGDP + Russian_HGDP + Romanians_Behar @ 0.871594
14 British_Isles_Dodecad + Russian_HGDP + Romanians_Behar + Orkney_1000 Genomes @ 0.895436
15 Irish_Dodecad + Russian_HGDP + CEU30_1000Genomes + Romanians_Behar @ 0.895844
16 British_Dodecad + Irish_Dodecad + Russian_HGDP + Romanians_Behar @ 0.898664
17 Russian_HGDP + Romanians_Behar + Cornwall_1000 Genomes + Argyll_1000 Genomes @ 0.902611
18 Russian_HGDP + CEU30_1000Genomes + Romanians_Behar + Orkney_1000 Genomes @ 0.903576
19 British_Dodecad + Russian_HGDP + Romanians_Behar + Argyll_1000 Genomes @ 0.903901
20 Russian_HGDP + Romanians_Behar + Kent_1000 Genomes + Argyll_1000 Genomes @ 0.915257

On several calculators with Roma samples, he's picked up as between 9 and 19% Romani in Oracles.


go to the puntDNAL K15 thread and post your oracle results.... would be interesting. I just did mine over there... seems very light on the N.W. European.

Charlie X
09-16-2018, 01:23 AM
Dodecad World 9



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







1 79.9% CEU30 (1000Genomes)
20.1% TSI30 (Metspalu)
1.31


2 80.5% CEU30 (1000Genomes)
19.5% Tuscan (HGDP)
1.32


3 92.8% CEU30 (1000Genomes)
7.2% Yemen_Jews (Behar)
1.36


4 72.9% CEU30 (1000Genomes)
27.1% N_Italian (Dodecad)
1.38


5 95% Mixed_Germanic (Dodecad)
5% Saudis (Behar)
1.38


6 95.2% Mixed_Germanic (Dodecad)
4.8% Yemen_Jews (Behar)
1.39


7 83.4% CEU30 (1000Genomes)
16.6% C_Italian (Dodecad)
1.39


8 86.3% British_Isles (Dodecad)
13.7% Sephardic_Jews (Behar)
1.41


9 88.8% CEU30 (1000Genomes)
11.2% Morocco_Jews (Behar)
1.41


10 89.7% Orkney (1000 Genomes)
10.3% Yemen_Jews (Behar)
1.42


11 92.5% Mixed_Germanic (Dodecad)
7.5% Morocco_Jews (Behar)
1.42


12 84.2% British_Isles (Dodecad)
15.8% Ashkenazi (Dodecad)
1.42


13 88.6% CEU30 (1000Genomes)
11.4% Sephardic_Jews (Behar)
1.43


14 87.9% British (Dodecad)
12.1% Sephardic_Jews (Behar)
1.43


15 83.7% British_Isles (Dodecad)
16.3% Ashkenazy_Jews
1.44


16 94.9% Mixed_Germanic (Dodecad)
5.1% Bedouin (HGDP)
1.44


17 92.4% Cornwall (1000 Genomes)
7.6% Saudis (Behar)
1.44


18 90.7% British_Isles (Dodecad)
9.3% Samaritians (Behar)
1.44


19 84.2% British_Isles (Dodecad)
15.8% S_Italian (Dodecad)
1.44


20 86.2% Cornwall (1000 Genomes)
13.8% Ashkenazy_Jews
1.45

JerryS.
09-16-2018, 01:42 AM
Dodecad World 9



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







1 79.9% CEU30 (1000Genomes)
20.1% TSI30 (Metspalu)
1.31


2 80.5% CEU30 (1000Genomes)
19.5% Tuscan (HGDP)
1.32


3 92.8% CEU30 (1000Genomes)
7.2% Yemen_Jews (Behar)
1.36


4 72.9% CEU30 (1000Genomes)
27.1% N_Italian (Dodecad)
1.38


5 95% Mixed_Germanic (Dodecad)
5% Saudis (Behar)
1.38


6 95.2% Mixed_Germanic (Dodecad)
4.8% Yemen_Jews (Behar)
1.39


7 83.4% CEU30 (1000Genomes)
16.6% C_Italian (Dodecad)
1.39


8 86.3% British_Isles (Dodecad)
13.7% Sephardic_Jews (Behar)
1.41


9 88.8% CEU30 (1000Genomes)
11.2% Morocco_Jews (Behar)
1.41


10 89.7% Orkney (1000 Genomes)
10.3% Yemen_Jews (Behar)
1.42


11 92.5% Mixed_Germanic (Dodecad)
7.5% Morocco_Jews (Behar)
1.42


12 84.2% British_Isles (Dodecad)
15.8% Ashkenazi (Dodecad)
1.42


13 88.6% CEU30 (1000Genomes)
11.4% Sephardic_Jews (Behar)
1.43


14 87.9% British (Dodecad)
12.1% Sephardic_Jews (Behar)
1.43


15 83.7% British_Isles (Dodecad)
16.3% Ashkenazy_Jews
1.44


16 94.9% Mixed_Germanic (Dodecad)
5.1% Bedouin (HGDP)
1.44


17 92.4% Cornwall (1000 Genomes)
7.6% Saudis (Behar)
1.44


18 90.7% British_Isles (Dodecad)
9.3% Samaritians (Behar)
1.44


19 84.2% British_Isles (Dodecad)
15.8% S_Italian (Dodecad)
1.44


20 86.2% Cornwall (1000 Genomes)
13.8% Ashkenazy_Jews
1.45



wow, I seem to show more Sephardic Italian Jew than you do. LOL. since you claim Jewish I assume you are a practicing Jew and the traditions are well kept in your family?

Nino90
09-16-2018, 05:54 PM
Dodecad World 9



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







1 79.9% CEU30 (1000Genomes)
20.1% TSI30 (Metspalu)
1.31


2 80.5% CEU30 (1000Genomes)
19.5% Tuscan (HGDP)
1.32


3 92.8% CEU30 (1000Genomes)
7.2% Yemen_Jews (Behar)
1.36


4 72.9% CEU30 (1000Genomes)
27.1% N_Italian (Dodecad)
1.38


5 95% Mixed_Germanic (Dodecad)
5% Saudis (Behar)
1.38


6 95.2% Mixed_Germanic (Dodecad)
4.8% Yemen_Jews (Behar)
1.39


7 83.4% CEU30 (1000Genomes)
16.6% C_Italian (Dodecad)
1.39


8 86.3% British_Isles (Dodecad)
13.7% Sephardic_Jews (Behar)
1.41


9 88.8% CEU30 (1000Genomes)
11.2% Morocco_Jews (Behar)
1.41


10 89.7% Orkney (1000 Genomes)
10.3% Yemen_Jews (Behar)
1.42


11 92.5% Mixed_Germanic (Dodecad)
7.5% Morocco_Jews (Behar)
1.42


12 84.2% British_Isles (Dodecad)
15.8% Ashkenazi (Dodecad)
1.42


13 88.6% CEU30 (1000Genomes)
11.4% Sephardic_Jews (Behar)
1.43


14 87.9% British (Dodecad)
12.1% Sephardic_Jews (Behar)
1.43


15 83.7% British_Isles (Dodecad)
16.3% Ashkenazy_Jews
1.44


16 94.9% Mixed_Germanic (Dodecad)
5.1% Bedouin (HGDP)
1.44


17 92.4% Cornwall (1000 Genomes)
7.6% Saudis (Behar)
1.44


18 90.7% British_Isles (Dodecad)
9.3% Samaritians (Behar)
1.44


19 84.2% British_Isles (Dodecad)
15.8% S_Italian (Dodecad)
1.44


20 86.2% Cornwall (1000 Genomes)
13.8% Ashkenazy_Jews
1.45



What is your full ethnicity? Even if you identify as a jew you look Nordic.

JerryS.
09-17-2018, 01:40 AM
Here's my wife, who should resemble you (1/4 Southern Italian-Calabria, 1/4 Colonial American, 1/4 Polish, 1/4 Lithuanian):
# Population Percent
1 Atlantic_Baltic 66.32
2 Caucasus_Gedrosia 15.77
3 Southern 15.4
4 Siberian 1.65
5 South_Asian 0.5
6 Australasian 0.17
7 East_Asian 0.12
8 African 0.07

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 2.46
2 French (HGDP) 6.17
3 French (Dodecad) 7.59
4 Mixed_Germanic (Dodecad) 7.9
5 Dutch (Dodecad) 8.61
6 German (Dodecad) 9.2
7 CEU30 (1000Genomes) 9.9
8 Ukranians (Yunusbayev) 9.98
9 Cornwall (1000 Genomes) 10.25
10 Kent (1000 Genomes) 10.33
11 British (Dodecad) 10.47
12 British_Isles (Dodecad) 11.47
13 Argyll (1000 Genomes) 11.72
14 Irish (Dodecad) 12.13
15 Cataluna (1000 Genomes) 12.26
16 Orcadian (HGDP) 12.41
17 Orkney (1000 Genomes) 12.82
18 Polish (Dodecad) 13.05
19 Bulgarians (Yunusbayev) 13.57
20 Valencia (1000 Genomes) 13.89

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 54.40% Bulgarians (Yunusbayev) + 45.60% Norwegian (Dodecad) @ 0.48
2 54.80% Bulgarians (Yunusbayev) + 45.20% Swedish (Dodecad) @ 0.51
3 93.90% Hungarians (Behar) + 6.10% S_Italian (Dodecad) @ 0.52
4 92.80% Hungarians (Behar) + 7.20% Greek (Dodecad) @ 0.52
5 96.70% Hungarians (Behar) + 3.30% Samaritians (Behar) @ 0.52
6 84.90% Hungarians (Behar) + 15.10% Bulgarians (Yunusbayev) @ 0.53
7 93.70% Hungarians (Behar) + 6.30% S_Italian_Sicilian (Dodecad) @ 0.53
8 94.90% Hungarians (Behar) + 5.10% Sephardic_Jews (Behar) @ 0.54
9 65.40% Swedish (Dodecad) + 34.60% Greek (Dodecad) @ 0.54
10 93.60% Hungarians (Behar) + 6.40% Ashkenazy_Jews @ 0.55
11 93.70% Hungarians (Behar) + 6.30% Sicilian (Dodecad) @ 0.55
12 95.60% Hungarians (Behar) + 4.40% Cypriots (Behar) @ 0.55
13 93.90% Hungarians (Behar) + 6.10% Ashkenazi (Dodecad) @ 0.56
14 92% Hungarians (Behar) + 8% C_Italian (Dodecad) @ 0.58
15 91.10% Hungarians (Behar) + 8.90% O_Italian (Dodecad) @ 0.59
16 76.10% Swedish (Dodecad) + 23.90% Cypriots (Behar) @ 0.59
17 97% Hungarians (Behar) + 3% Yemen_Jews (Behar) @ 0.59
18 86% Hungarians (Behar) + 14% Bulgarian (Dodecad) @ 0.6
19 96.30% Hungarians (Behar) + 3.70% Druze (HGDP) @ 0.61
20 96.80% Hungarians (Behar) + 3.20% Saudis (Behar) @ 0.61


Using 2 populations approximation:
1 50% Norwegian_Dodecad +50% Bulgarian_Dodecad @ 0.952052


Using 3 populations approximation:
1 50% Polish_Dodecad +25% C_Italian_Dodecad +25% Hungarians_Behar @ 0.707187


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++
1 French_HGDP + Hungarians_Behar + Bulgarians_Yunusbayev + Ukranians_Yunusbayev @ 0.273712
2 Russian_Dodecad + Greek_Dodecad + Mixed_Germanic_Dodecad + Kent_1000 Genomes @ 0.300100
3 Russian_Dodecad + Greek_Dodecad + Dutch_Dodecad + Cornwall_1000 Genomes @ 0.325050
4 Russian_Dodecad + Greek_Dodecad + Dutch_Dodecad + Kent_1000 Genomes @ 0.325150
5 British_Dodecad + Russian_Dodecad + Greek_Dodecad + Mixed_Germanic_Dodecad @ 0.356767
6 Polish_Dodecad + Greek_Dodecad + Norwegian_Dodecad + Hungarians_Behar @ 0.374161
7 Russian_Dodecad + Greek_Dodecad + Mixed_Germanic_Dodecad + Cornwall_1000 Genomes @ 0.410037
8 British_Dodecad + Russian_Dodecad + Greek_Dodecad + Dutch_Dodecad @ 0.429926
9 C_Italian_Dodecad + Swedish_Dodecad + Hungarians_Behar + Ukranians_Yunusbayev @ 0.441481
10 Russian_Dodecad + Greek_Dodecad + Mixed_Germanic_Dodecad + British_Isles_Dodecad @ 0.445239
11 Polish_Dodecad + North_Italian_HGDP + Russian_B_Behar + Bulgarians_Yunusbayev @ 0.458261
12 S_Italian_Dodecad + French_HGDP + Lithuanians + Russian_B_Behar @ 0.458748
13 British_Dodecad + Greek_Dodecad + Mixed_Germanic_Dodecad + Russian_B_Behar @ 0.460631
14 Bulgarian_Dodecad + North_Italian_HGDP + Belorussian_Behar + Belorussian_Behar @ 0.479771
15 C_Italian_Dodecad + Cornwall_1000 Genomes + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.484249
16 Russian_Dodecad + Greek_Dodecad + German_Dodecad + Cornwall_1000 Genomes @ 0.491760
17 Dutch_Dodecad + O_Italian_Dodecad + Hungarians_Behar + Russian_B_Behar @ 0.493468
18 Greek_Dodecad + French_HGDP + Belorussian_Behar + Belorussian_Behar @ 0.499736
19 British_Dodecad + Swedish_Dodecad + Bulgarians_Yunusbayev + Bulgarians_Yunusbayev @ 0.505841
20 C_Italian_Dodecad + Norwegian_Dodecad + Hungarians_Behar + Ukranians_Yunusbayev @ 0.509182

here is mine for a side by side....

# Primary Population (source) Secondary Population (source) Distance
1 92.7% French (HGDP) + 7.3% Abhkasians (Yunusbayev) @ 0.78
2 66.5% British (Dodecad) + 33.5% C_Italian (Dodecad) @ 0.8
3 74% Cornwall (1000 Genomes) + 26% Ashkenazi (Dodecad) @ 0.81
4 92.3% French (HGDP) + 7.7% Georgians (Behar) @ 0.82
5 64.4% Cornwall (1000 Genomes) + 35.6% O_Italian (Dodecad) @ 0.83
6 66.4% Mixed_Germanic (Dodecad) + 33.6% Tuscan (HGDP) @ 0.84
7 63.7% British (Dodecad) + 36.3% O_Italian (Dodecad) @ 0.84
8 73.7% Kent (1000 Genomes) + 26.3% Ashkenazi (Dodecad) @ 0.85
9 67.3% Cornwall (1000 Genomes) + 32.7% C_Italian (Dodecad) @ 0.87
10 64.1% Kent (1000 Genomes) + 35.9% O_Italian (Dodecad) @ 0.87
11 71.6% Mixed_Germanic (Dodecad) + 28.4% C_Italian (Dodecad) @ 0.88
12 65.4% Mixed_Germanic (Dodecad) + 34.6% TSI30 (Metspalu) @ 0.88
13 73.2% Cornwall (1000 Genomes) + 26.8% Sicilian (Dodecad) @ 0.89
14 60.9% British (Dodecad) + 39.1% Tuscan (HGDP) @ 0.89
15 66.9% Kent (1000 Genomes) + 33.1% C_Italian (Dodecad) @ 0.89
16 73.1% Cornwall (1000 Genomes) + 26.9% Ashkenazy_Jews @ 0.9
17 77.6% Cornwall (1000 Genomes) + 22.4% Sephardic_Jews (Behar) @ 0.9
18 61.7% CEU30 (1000Genomes) + 38.3% Tuscan (HGDP) @ 0.9
19 77.3% Kent (1000 Genomes) + 22.7% Sephardic_Jews (Behar) @ 0.9
20 69% Mixed_Germanic (Dodecad) + 31% O_Italian (Dodecad) @ 0.91

Using 2 populations approximation:
1 50% Dutch_Dodecad +50% N_Italian_Dodecad @ 1.126541


Using 3 populations approximation:
1 50% British_Dodecad +25% Greek_Dodecad +25% French_Dodecad @ 0.772150


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++
1 German_Dodecad + C_Italian_Dodecad + Mixed_Germanic_Dodecad + French_HGDP @ 0.687963
2 British_Dodecad + Greek_Dodecad + French_Dodecad + Cornwall_1000 Genomes @ 0.754162
3 Greek_Dodecad + French_HGDP + Cornwall_1000 Genomes + Cornwall_1000 Genomes @ 0.762279
4 British_Dodecad + British_Dodecad + Greek_Dodecad + French_Dodecad @ 0.772150
5 British_Dodecad + Greek_Dodecad + French_Dodecad + CEU30_1000Genomes @ 0.781053
6 Ashkenazi_Dodecad + Mixed_Germanic_Dodecad + Kent_1000 Genomes + Cornwall_1000 Genomes @ 0.791239
7 British_Dodecad + Greek_Dodecad + French_Dodecad + Kent_1000 Genomes @ 0.792841
8 Ashkenazi_Dodecad + Mixed_Germanic_Dodecad + Cornwall_1000 Genomes + Cornwall_1000 Genomes @ 0.801641
9 C_Italian_Dodecad + Mixed_Germanic_Dodecad + Dutch_Dodecad + French_HGDP @ 0.804586
10 British_Dodecad + Greek_Dodecad + French_HGDP + Cornwall_1000 Genomes @ 0.810316
11 Greek_Dodecad + French_HGDP + Kent_1000 Genomes + Cornwall_1000 Genomes @ 0.812022
12 Greek_Dodecad + French_Dodecad + CEU30_1000Genomes + Kent_1000 Genomes @ 0.817271
13 Greek_Dodecad + French_Dodecad + Kent_1000 Genomes + Kent_1000 Genomes @ 0.818467
14 Polish_Dodecad + N_Italian_Dodecad + TSI30_Metspalu + Kent_1000 Genomes @ 0.826010
15 Greek_Dodecad + German_Dodecad + French_Dodecad + Cornwall_1000 Genomes @ 0.828027
16 Greek_Dodecad + French_HGDP + CEU30_1000Genomes + Cornwall_1000 Genomes @ 0.831322
17 Greek_Dodecad + French_Dodecad + CEU30_1000Genomes + Cornwall_1000 Genomes @ 0.834376
18 British_Dodecad + Bulgarian_Dodecad + North_Italian_HGDP + Cornwall_1000 Genomes @ 0.834378
19 British_Dodecad + Greek_Dodecad + French_HGDP + Kent_1000 Genomes @ 0.838112
20 Greek_Dodecad + British_Isles_Dodecad + French_HGDP + Cornwall_1000 Genomes @ 0.838649

my ancestry is English (Shropshire and Dartford) Scottish (unknown location), Northern German (Bremen), and Southern Italian (Calabria). I have one ancestor that was supposedly part Northern Italian but I cant trace it. but your wife and I have very similar groups ratios with this model.

Charlie X
10-09-2018, 10:26 PM
sorry JerryS:

i posted the results w/o having asked for some help interpreting them - these are from 23&Me V5 but the results are similar across the board FTDNA, MyHeritage, 23&Me V4 across most GED calculators - is this merely representative of Italian ancestry? ive read there are many similarities between the two.

raised Roman Catholic lol

Charlie X
10-09-2018, 10:41 PM
hi Nino90:

FTDNA

West and Central Europe 54%
British Isles 22%
Iberian 15%
Sephardic Jewish 7%
Finland <1%
South Central Asia <1%

MyHeritage

Scandinavian 55.3%
Irish, Scottish and Welsh 8.0%
Finnish 2.0%
Iberian 24.7%
Italian 0.8%
West Asian 9.2%

23&Me

British & Irish 45.7% (Irish)
French & German 12.5% (German)
Italian 7.7%
Iberian 2.4%
Broadly NW Euro 22.2%
Broadly Southern Euro 4.9%
Broadly Euro 4.1%
North African & Arabian 0.2%
Native American 0.1%

Charlie X
10-09-2018, 10:44 PM
i should point out that for the first 53 years of my life i was operating under the impression i was 75/25 Scot-Italian - turns out that was wrong. My father's father was adopted and there are no living relatives on my father's side that I know. We are def part Italian on my mom's side - my ggp came to the US in 1903 from Italy - my ggf from Bergeggi and my ggm from Lake Como.

Charlie X
10-09-2018, 11:54 PM
DNA Tribes

Continental Core Mixture

European 80.6%
North African and Middle Eastern 15.4%
South Asian 2.9%
Siberian 0.6%
Sub-Saharan African 0.2%
Amerindian 0.2%
Asian 0.1%

Regional Cluster Mixture

Northwest European 57.9%
Italian Greek 11.1%
Finnish 8.7%
Iberian 7.6%
Caucasus 4.9%
Sephardic Jewish 4.8%
Pakistani 3.4%
Other 1.6%

Population Mixture

Denmark 70.1%
Sardinia 14.6%
Lapland 4.8%
Chechen 3.7%
Galicia Spain 3%
Ossetia 2.2%
Brahui Pakistan 1.5%
Other 0.1%

Charlie X
10-10-2018, 12:08 AM
if it helps here's my mom's DNA Tribes results:

Continental Core Mixture

European 61%
North African and Middle Eastern 32.7%
South Asian 2.2%
Sub-Saharan African 1.6%
Asian 1.3%
Siberian 1.1%

Regional Cluster Mixture

Northwest European 36.5%
Caucasus 22.5%
Iberian 14.7%
Italian Greek 8.2%
Sephardic Jewish 4.5%
North African 3.8%
Turko-Persian 3.3%
Basque 2.7%
Urals 1.6%
Korean 1.3%
Nilotic 1%

Population Mixture

Denmark 42.4%
Kabardin 18.2%
Portugal 12.3%
Sardinia 10.6%
Imer Georgia 9.8%
Galicia Spain 5.6%
Basque Spain 1.2%

digital_noise
10-10-2018, 12:36 AM
23 and me V5 to V3

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 63.36
2 Southern 18.60
3 Caucasus_Gedrosia 15.02


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

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

Least-squares method.

Using 1 population approximation:
1 Hungarians_Behar @ 6.942612
2 French_HGDP @ 7.471054
3 French_Dodecad @ 8.452989
4 Cataluna_1000 Genomes @ 10.553335
5 N_Italian_Dodecad @ 10.726200
6 Baleares_1000 Genomes @ 11.394606
7 Spaniards_Behar @ 11.527684
8 Bulgarians_Yunusbayev @ 11.592672
9 Valencia_1000 Genomes @ 11.879379
10 Extremadura_1000 Genomes @ 12.144814
11 North_Italian_HGDP @ 12.185763
12 Mixed_Germanic_Dodecad @ 12.219686
13 Spanish_Dodecad @ 12.298774
14 Galicia_1000 Genomes @ 12.426226
15 Castilla_La_Mancha_1000 Genomes @ 12.815447
16 Andalucia_1000 Genomes @ 12.906624
17 Bulgarian_Dodecad @ 12.928904
18 Portuguese_Dodecad @ 13.209397
19 Dutch_Dodecad @ 13.238726
20 Cantabria_1000 Genomes @ 13.346316

Using 2 populations approximation:
1 50% Swedish_Dodecad +50% O_Italian_Dodecad @ 0.830186


Using 3 populations approximation:
1 50% Lithuanian_Dodecad +25% N_Italian_Dodecad +25% Morocco_Jews_Behar @ 0.592110


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++
1 Irish_Dodecad + Swedish_Dodecad + Hungarians_Behar + Morocco_Jews_Behar @ 0.456941
2 Orcadian_HGDP + Morocco_Jews_Behar + Kent_1000 Genomes + Ukranians_Yunusbayev @ 0.482016
3 Orcadian_HGDP + Morocco_Jews_Behar + Cornwall_1000 Genomes + Ukranians_Yunusbayev @ 0.482117
4 Swedish_Dodecad + Orcadian_HGDP + Hungarians_Behar + Morocco_Jews_Behar @ 0.505129
5 Irish_Dodecad + Morocco_Jews_Behar + Kent_1000 Genomes + Ukranians_Yunusbayev @ 0.506866
6 Irish_Dodecad + Morocco_Jews_Behar + Cornwall_1000 Genomes + Ukranians_Yunusbayev @ 0.506966
7 Polish_Dodecad + German_Dodecad + German_Dodecad + Morocco_Jews_Behar @ 0.507291
8 Norwegian_Dodecad + Hungarians_Behar + Morocco_Jews_Behar + Argyll_1000 Genomes @ 0.507291
9 Swedish_Dodecad + Hungarians_Behar + Morocco_Jews_Behar + Argyll_1000 Genomes @ 0.525211
10 British_Isles_Dodecad + Morocco_Jews_Behar + Kent_1000 Genomes + Ukranians_Yunusbayev @ 0.557016
11 Polish_Dodecad + German_Dodecad + Dutch_Dodecad + Morocco_Jews_Behar @ 0.582116
12 German_Dodecad + Mixed_Germanic_Dodecad + Belorussian_Behar + Morocco_Jews_Behar @ 0.582341
13 Lithuanian_Dodecad + Lithuanian_Dodecad + N_Italian_Dodecad + Morocco_Jews_Behar @ 0.592110
14 German_Dodecad + British_Isles_Dodecad + Morocco_Jews_Behar + Ukranians_Yunusbayev @ 0.594214
15 British_Dodecad + Orcadian_HGDP + Morocco_Jews_Behar + Ukranians_Yunusbayev @ 0.595104
16 Morocco_Jews_Behar + Orkney_1000 Genomes + Cornwall_1000 Genomes + Ukranians_Yunusbayev @ 0.595808
17 Morocco_Jews_Behar + Cornwall_1000 Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 0.596779
18 British_Isles_Dodecad + British_Isles_Dodecad + Morocco_Jews_Behar + Ukranians_Yunusbayev @ 0.612491
19 Norwegian_Dodecad + British_Isles_Dodecad + Hungarians_Behar + Sephardic_Jews_Behar @ 0.613965
20 Morocco_Jews_Behar + Orkney_1000 Genomes + Kent_1000 Genomes + Ukranians_Yunusbayev @ 0.616797

mildlycurly
11-27-2018, 12:42 PM
# Population Percent
1 Atlantic_Baltic 71.88
2 Caucasus_Gedrosia 13.94
3 Southern 12
4 South_Asian 1.3
5 Amerindian 0.78
6 Australasian 0.1

Single Population Sharing:

# Population (source) Distance
1 Dutch (Dodecad) 2.74
2 Mixed_Germanic (Dodecad) 2.79
3 German (Dodecad) 3.3
4 CEU30 (1000Genomes) 4.04
5 Hungarians (Behar) 4.13
6 Cornwall (1000 Genomes) 4.65
7 Kent (1000 Genomes) 4.69
8 British (Dodecad) 4.8
9 Ukranians (Yunusbayev) 5.46
10 Argyll (1000 Genomes) 5.52
11 British_Isles (Dodecad) 5.68
12 Irish (Dodecad) 6
13 Orcadian (HGDP) 6.28
14 Orkney (1000 Genomes) 6.78
15 Polish (Dodecad) 7.19
16 French (HGDP) 7.24
17 French (Dodecad) 8.44
18 Belorussian (Behar) 9
19 Russian_B (Behar) 10.11
20 Norwegian (Dodecad) 10.32

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 91.6% Orcadian (HGDP) + 8.4% Uzbekistan_Jews @ 0.43
2 91.9% Orcadian (HGDP) + 8.1% Azerbaijan_Jews @ 0.53
3 91.6% Orcadian (HGDP) + 8.4% Armenians (Yunusbayev) @ 0.54
4 91.5% Orcadian (HGDP) + 8.5% Armenian (Dodecad) @ 0.54
5 91.9% Irish (Dodecad) + 8.1% Uzbekistan_Jews @ 0.58
6 92.3% Orcadian (HGDP) + 7.7% Iranian_Jews (Behar) @ 0.59
7 91.9% Orcadian (HGDP) + 8.1% Assyrian (Dodecad) @ 0.59
8 90.6% Orcadian (HGDP) + 9.4% Armenians (Behar) @ 0.6
9 92.5% Argyll (1000 Genomes) + 7.5% Druze (HGDP) @ 0.61
10 92.6% Irish (Dodecad) + 7.4% Iranian_Jews (Behar) @ 0.64
11 91.4% Argyll (1000 Genomes) + 8.6% Cypriots (Behar) @ 0.65
12 91% Orkney (1000 Genomes) + 9% Uzbekistan_Jews @ 0.66
13 92.2% Irish (Dodecad) + 7.8% Azerbaijan_Jews @ 0.66
14 91.6% Orcadian (HGDP) + 8.4% Kurd (Dodecad) @ 0.66
15 91.5% Orcadian (HGDP) + 8.5% Kurds (Yunusbayev) @ 0.67
16 90.9% Orkney (1000 Genomes) + 9.1% Kurds (Yunusbayev) @ 0.68
17 91% Orkney (1000 Genomes) + 9% Kurd (Dodecad) @ 0.68
18 92.2% Irish (Dodecad) + 7.8% Assyrian (Dodecad) @ 0.69
19 91% Orkney (1000 Genomes) + 9% Armenians (Yunusbayev) @ 0.7
20 79.6% Argyll (1000 Genomes) + 20.4% Romanians (Behar) @ 0.7

What I've noticed about this calculator is that a lot of people of gypsy descent score largely Jewish oracles. I know of some distant Jewish admix on my part, but what about for the other Romani?

JosephK
11-30-2018, 01:00 AM
What I've noticed about this calculator is that a lot of people of gypsy descent score largely Jewish oracles. I know of some distant Jewish admix on my part, but what about for the other Romani?

Yeah certainly for me-- I know of no Jewish ancestry, can find no evidence of Jews in my paper trail, but I come up Jewish (usually North African Jewish) or Iberian rather than part Romani. My North African and/or Middle East scores are usually a little higher than would be expected for a 1/8 -1/4 Roma.

I don't know if these results say something about my ancestry, or rather the particular community of Roma that my grandmother came from... I sometimes wonder if the particular community of Hungarian Romani my grandmother came from were possibly originally Iberian Gitanos or something? Or some kind of interbreeding with them? I don't have a lot to go on other than my GEDMatch results, but the pahased results for my father show him usually as something like 1/2 Spanish and 1/2 Roma instead of 1/2 Polish and 1/2 Roma...

talombo
11-30-2018, 05:16 AM
# Population Percent
1 Southern 42.46
2 Caucasus_Gedrosia 28.18
3 Atlantic_Baltic 24.74
4 African 3.56
5 East_Asian 0.49
6 Australasian 0.43
7 Amerindian 0.15

Single Population Sharing:

# Population (source) Distance
1 Sephardic_Jews (Behar) 4.24
2 Morocco_Jews (Behar) 5.48
3 Cypriots (Behar) 8.32
4 Ashkenazi (Dodecad) 10.47
5 S_Italian (Dodecad) 10.47
6 S_Italian_Sicilian (Dodecad) 11.21
7 Sicilian (Dodecad) 11.66
8 Ashkenazy_Jews 11.83
9 Lebanese (Behar) 13.84
10 Turkish (Dodecad) 15.42
11 Greek (Dodecad) 16.14
12 Syrians (Behar) 16.55
13 Druze (HGDP) 16.84
14 Jordanians (Behar) 16.92
15 Palestinian (HGDP) 17
16 Turks (Behar) 19.27
17 C_Italian (Dodecad) 19.97
18 Georgia_Jews (Behar) 20.34
19 Armenians (Behar) 20.86
20 O_Italian (Dodecad) 22.63

SecretExplorer
05-20-2019, 11:21 AM
I'm still a newbie in that theme. What do you think about my result?

1 Atlantic_Baltic 65.66
2 Caucasus_Gedrosia 16.63
3 Southern 14.83
4 Siberian 2.88

Single Population Sharing:

1 Hungarians (Behar) 3.29
2 French (HGDP) 7.57
3 Mixed_Germanic (Dodecad) 8.9
4 French (Dodecad) 8.95
5 Dutch (Dodecad) 9.46
6 German (Dodecad) 10.01
7 Ukranians (Yunusbayev) 10.01
8 CEU30 (1000Genomes) 10.76
9 Cornwall (1000 Genomes) 11.19
10 Kent (1000 Genomes) 11.21
11 British (Dodecad) 11.35
12 British_Isles (Dodecad) 12.31
13 Argyll (1000 Genomes) 12.37
14 Irish (Dodecad) 12.85
15 Orcadian (HGDP) 13.17
16 Bulgarians (Yunusbayev) 13.25
17 Cataluna (1000 Genomes) 13.36
18 Polish (Dodecad) 13.42
19 Orkney (1000 Genomes) 13.57
20 Mordovians (Yunusbayev) 14.18

Oracle-4 approximations:

Using 2 populations approximation:
1 50% Polish_Dodecad +50% Bulgarians_Yunusbayev @ 1.631748

Using 3 populations approximation:
1 50% Norwegian_Dodecad +25% Cypriots_Behar +25% FIN30_1000Genomes @ 1.212395

Using 4 populations approximation:
1 Finnish_Dodecad + Cypriots_Behar + Lithuanians + Kent_1000 Genomes @ 0.864041
2 Russian_Dodecad + Tuscan_HGDP + Lithuanians + Bulgarians_Yunusbayev @ 0.938844
3 Cypriots_Behar + Lithuanians + FIN30_1000Genomes + Kent_1000 Genomes @ 0.949857
4 Finnish_Dodecad + Cypriots_Behar + Lithuanians + Cornwall_1000 Genomes @ 0.950294
5 British_Dodecad + Finnish_Dodecad + Cypriots_Behar + Lithuanians @ 0.957484
6 Finnish_Dodecad + British_Isles_Dodecad + Cypriots_Behar + Lithuanians @ 0.965188
7 Russian_Dodecad + Orkney_1000 Genomes + Bulgarians_Yunusbayev + Bulgarians_Yunusbayev @ 0.974107
8 Polish_Dodecad + N_Italian_Dodecad + Bulgarians_Yunusbayev + Mordovians_Yunusbayev @ 0.990343
9 Russian_Dodecad + TSI30_Metspalu + Lithuanians + Bulgarians_Yunusbayev @ 0.998316
10 British_Isles_Dodecad + Cypriots_Behar + Lithuanians + FIN30_1000Genomes @ 1.000624
11 Cypriots_Behar + Lithuanians + FIN30_1000Genomes + Cornwall_1000 Genomes @ 1.007369
12 C_Italian_Dodecad + Bulgarian_Dodecad + Lithuanians + FIN30_1000Genomes @ 1.020200
13 Russian_HGDP + TSI30_Metspalu + Lithuanians + Bulgarians_Yunusbayev @ 1.022248
14 Russian_Dodecad + Bulgarian_Dodecad + TSI30_Metspalu + Lithuanians @ 1.024778
15 Dutch_Dodecad + Bulgarian_Dodecad + Bulgarian_Dodecad + FIN30_1000Genomes @ 1.027649
16 Dutch_Dodecad + Bulgarian_Dodecad + FIN30_1000Genomes + Bulgarians_Yunusbayev @ 1.030280
17 Russian_Dodecad + Lithuanian_Dodecad + Tuscan_HGDP + Bulgarians_Yunusbayev @ 1.031131
18 Russian_Dodecad + C_Italian_Dodecad + Hungarians_Behar + Ukranians_Yunusbayev @ 1.031861
19 British_Dodecad + Cypriots_Behar + Lithuanians + FIN30_1000Genomes @ 1.034449
20 Finnish_Dodecad + C_Italian_Dodecad + Bulgarian_Dodecad + Lithuanians @ 1.035407
A lot of Gedmatch calculator gave me Siberian.

Dimanto
05-30-2019, 02:31 PM
My paternal uncle's results (Neapolitan):

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 38.49
2 Southern 36.22
3 Caucasus_Gedrosia 25.03
4 Australasian 0.26

Single Population Sharing:

# Population (source) Distance
1 Greek (Dodecad) 2.56
2 Ashkenazy_Jews 3.29
3 S_Italian_Sicilian (Dodecad) 3.33
4 Sicilian (Dodecad) 3.49
5 S_Italian (Dodecad) 4.06
6 Ashkenazi (Dodecad) 4.55
7 C_Italian (Dodecad) 5.98
8 O_Italian (Dodecad) 8.73
9 Tuscan (HGDP) 11.53
10 Sephardic_Jews (Behar) 11.62
11 TSI30 (Metspalu) 12.45
12 Morocco_Jews (Behar) 13.59
13 Bulgarian (Dodecad) 18.5
14 Romanians (Behar) 18.91
15 Bulgarians (Yunusbayev) 19.53
16 Cypriots (Behar) 20
17 North_Italian (HGDP) 20.34
18 N_Italian (Dodecad) 20.62
19 Turkish (Dodecad) 20.86
20 Canarias (1000 Genomes) 23.88

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 61.6% TSI30 (Metspalu) + 38.4% Cypriots (Behar) @ 0.28
2 63.4% Tuscan (HGDP) + 36.6% Cypriots (Behar) @ 0.36
3 50.8% Cypriots (Behar) + 49.2% N_Italian (Dodecad) @ 0.48
4 50.4% Cypriots (Behar) + 49.6% North_Italian (HGDP) @ 0.57
5 77.1% C_Italian (Dodecad) + 22.9% Cypriots (Behar) @ 0.63
6 70.6% TSI30 (Metspalu) + 29.4% Druze (HGDP) @ 0.87
7 86.2% C_Italian (Dodecad) + 13.8% Iraq_Jews (Behar) @ 0.87
8 53.6% Samaritians (Behar) + 46.4% Kent (1000 Genomes) @ 0.9
9 72.2% Tuscan (HGDP) + 27.8% Druze (HGDP) @ 0.9
10 83.5% C_Italian (Dodecad) + 16.5% Druze (HGDP) @ 0.93
11 53.5% Samaritians (Behar) + 46.5% Cornwall (1000 Genomes) @ 0.95
12 52.1% Samaritians (Behar) + 47.9% Mixed_Germanic (Dodecad) @ 0.97
13 84.4% C_Italian (Dodecad) + 15.6% Georgia_Jews (Behar) @ 0.99
14 54.3% Samaritians (Behar) + 45.7% British_Isles (Dodecad) @ 1.02
15 52.2% Iraq_Jews (Behar) + 47.8% French_Basque @ 1.04
16 53.8% Aragon (1000 Genomes) + 46.2% Iraq_Jews (Behar) @ 1.08
17 53.7% Samaritians (Behar) + 46.3% British (Dodecad) @ 1.09
18 59.5% North_Italian (HGDP) + 40.5% Druze (HGDP) @ 1.12
19 59% Greek (Dodecad) + 41% Sicilian (Dodecad) @ 1.12
20 69.8% O_Italian (Dodecad) + 30.2% Cypriots (Behar) @ 1.13

boilermeschew827
05-30-2019, 03:22 PM
# Population Percent
1 Atlantic_Baltic 75.09
2 Caucasus_Gedrosia 10.59
3 Southern 9.97
4 Siberian 2.51


1 CEU30_1000Genomes @ 2.654746
2 British_Dodecad @ 2.773393
3 German_Dodecad @ 2.986728
4 British_Isles_Dodecad @ 3.079024
5 Kent_1000 Genomes @ 3.108202
6 Argyll_1000 Genomes @ 3.228168
7 Cornwall_1000 Genomes @ 3.307108
8 Irish_Dodecad @ 3.338922
9 Orcadian_HGDP @ 3.490064
10 Dutch_Dodecad @ 3.515131
11 Orkney_1000 Genomes @ 3.649890
12 Mixed_Germanic_Dodecad @ 4.303570
13 Polish_Dodecad @ 4.794765
14 Ukranians_Yunusbayev @ 5.808719
15 Belorussian_Behar @ 6.487176
16 Norwegian_Dodecad @ 6.583043
17 Swedish_Dodecad @ 6.874319
18 Russian_B_Behar @ 7.782234
19 Russian_Dodecad @ 8.233332
20 Hungarians_Behar @ 9.032215

Using 2 populations approximation:
1 50% Norwegian_Dodecad +50% Hungarians_Behar @ 2.063405


Using 3 populations approximation:
1 50% Polish_Dodecad +25% French_Basque +25% Mordovians_Yunusbayev @ 0.290047


Using 4 populations approximation:
++++++++++++++++++++++
1 Russian_Dodecad + Swedish_Dodecad + Belorussian_Behar + Cantabria_1000 Genomes @ 0.000000
2 Irish_Dodecad + Spanish_Dodecad + Lithuanian_Dodecad + Russian_HGDP @ 0.000000
3 Irish_Dodecad + Spanish_Dodecad + Russian_HGDP + Lithuanians @ 0.000000
4 Irish_Dodecad + Lithuanian_Dodecad + Russian_HGDP + Valencia_1000 Genomes @ 0.000000
5 Spanish_Dodecad + British_Isles_Dodecad + Russian_HGDP + Lithuanians @ 0.000000
6 Spanish_Dodecad + Lithuanian_Dodecad + Orcadian_HGDP + Russian_HGDP @ 0.000000
7 Spanish_Dodecad + Lithuanian_Dodecad + Russian_HGDP + Orkney_1000 Genomes @ 0.000000
8 Spanish_Dodecad + Orcadian_HGDP + Russian_HGDP + Lithuanians @ 0.000000
9 Spanish_Dodecad + Russian_HGDP + Lithuanians + Orkney_1000 Genomes @ 0.000000
10 French_Dodecad + Norwegian_Dodecad + Russian_HGDP + Cornwall_1000 Genomes @ 0.000000
11 British_Isles_Dodecad + Lithuanian_Dodecad + Russian_HGDP + Cataluna_1000 Genomes @ 0.000000
12 British_Isles_Dodecad + Russian_HGDP + Lithuanians + Valencia_1000 Genomes @ 0.000000
13 British_Isles_Dodecad + Russian_HGDP + Lithuanians + Cataluna_1000 Genomes @ 0.000000
14 Lithuanian_Dodecad + Orcadian_HGDP + Russian_HGDP + Valencia_1000 Genomes @ 0.000000
15 Lithuanian_Dodecad + Orcadian_HGDP + Cantabria_1000 Genomes + Mordovians_Yunusbayev @ 0.000000
16 Lithuanian_Dodecad + Russian_HGDP + Orkney_1000 Genomes + Valencia_1000 Genomes @ 0.000000
17 Lithuanian_Dodecad + Russian_HGDP + Kent_1000 Genomes + Cataluna_1000 Genomes @ 0.000000
18 Lithuanian_Dodecad + Russian_HGDP + Argyll_1000 Genomes + Aragon_1000 Genomes @ 0.000000
19 Lithuanian_Dodecad + Orkney_1000 Genomes + Aragon_1000 Genomes + Mordovians_Yunusbayev @ 0.000000
20 Lithuanian_Dodecad + Orkney_1000 Genomes + Cantabria_1000 Genomes + Mordovians_Yunusbayev @ 0.000000

JMcB
05-30-2019, 04:35 PM
And mine:

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 73.87
2 Southern 14.50
3 Caucasus_Gedrosia 10.03


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

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

Least-squares method.

Using 1 population approximation:
01 Mixed_Germanic_Dodecad @ 2.465756
02 Cornwall_1000 Genomes @ 3.179958
03 Kent_1000 Genomes @ 3.443389
04 Dutch_Dodecad @ 3.657733
05 British_Dodecad @ 3.695037
06 CEU30_1000Genomes @ 3.704279
07 German_Dodecad @ 3.870638
08 British_Isles_Dodecad @ 4.493786
09 French_HGDP @ 6.027235
10 Irish_Dodecad @ 6.119785
11 Orcadian_HGDP @ 6.151536
12 Orkney_1000 Genomes @ 6.369644
13 Argyll_1000 Genomes @ 6.430164
14 French_Dodecad @ 6.553373
15 Hungarians_Behar @ 7.513074
16 Polish_Dodecad @ 9.027080
17 Ukranians_Yunusbayev @ 9.178908
18 Norwegian_Dodecad @ 10.335230
19 Swedish_Dodecad @ 10.980959
20 Belorussian_Behar @ 11.051323

Using 2 populations approximation:
1 50% French_Dodecad +50% Orkney_1000 Genomes @ 0.418126


Using 3 populations approximation:
1 50% French_Dodecad +25% Swedish_Dodecad +25% Cornwall_1000 Genomes @ 0.000000


Using 4 populations approximation:

(the distances don’t appear to be working but here they are nevertheless)

+++++
1 British_Dodecad + French_Dodecad + French_Dodecad + Norwegian_Dodecad @ 0.000000
2 Irish_Dodecad + French_Dodecad + Lithuanian_Dodecad + Spaniards_Behar @ 0.000000
3 Irish_Dodecad + French_Dodecad + Lithuanians + Spaniards_Behar @ 0.000000
4 Irish_Dodecad + French_Dodecad + Lithuanians + Valencia_1000 Genomes @ 0.000000
5 Polish_Dodecad + Spanish_Dodecad + British_Isles_Dodecad + Cornwall_1000 Genomes @ 0.000000
6 Polish_Dodecad + German_Dodecad + Kent_1000 Genomes + Aragon_1000 Genomes @ 0.000000
7 Polish_Dodecad + Mixed_Germanic_Dodecad + British_Isles_Dodecad + Cantabria_1000 Genomes @ 0.000000
8 Polish_Dodecad + Mixed_Germanic_Dodecad + Orcadian_HGDP + Aragon_1000 Genomes @ 0.000000
9 Polish_Dodecad + Mixed_Germanic_Dodecad + Orkney_1000 Genomes + Aragon_1000 Genomes @ 0.000000
10 Polish_Dodecad + British_Isles_Dodecad + Dutch_Dodecad + Aragon_1000 Genomes @ 0.000000

Trelvern
05-30-2019, 05:21 PM
1 Hungarians_Behar @ 3.025907
2 French_HGDP @ 3.914295
3 French_Dodecad @ 5.437716
4 Mixed_Germanic_Dodecad @ 5.578436
5 Dutch_Dodecad @ 6.643594
6 German_Dodecad @ 7.262950
7 CEU30_1000Genomes @ 7.913292
8 Cornwall_1000 Genomes @ 8.082244
9 Kent_1000 Genomes @ 8.229074
10 British_Dodecad @ 8.483585



Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++
1 O_Italian_Dodecad + Orcadian_HGDP + Orcadian_HGDP + Kent_1000 Genomes @ 0.573792
2 Irish_Dodecad + O_Italian_Dodecad + Orcadian_HGDP + Kent_1000 Genomes @ 0.598642
3 German_Dodecad + O_Italian_Dodecad + Orcadian_HGDP + Orkney_1000 Genomes @ 0.598766
4 German_Dodecad + German_Dodecad + Orcadian_HGDP + Tuscan_HGDP @ 0.599142
5 German_Dodecad + O_Italian_Dodecad + Orcadian_HGDP + Orcadian_HGDP @ 0.616360
6 Irish_Dodecad + Irish_Dodecad + O_Italian_Dodecad + Kent_1000 Genomes @ 0.623491
7 Irish_Dodecad + German_Dodecad + O_Italian_Dodecad + Orkney_1000 Genomes @ 0.623616
8 German_Dodecad + German_Dodecad + Orcadian_HGDP + TSI30_Metspalu @ 0.624142
9 C_Italian_Dodecad + Orcadian_HGDP + Orcadian_HGDP + Orcadian_HGDP @ 0.632649
10 Irish_Dodecad + C_Italian_Dodecad + Orcadian_HGDP + Orcadian_HGDP @ 0.640240


The only calculator to give me first Hungarian Behar !
I don't like it very much (K12b is better)


1 French_Dodecad @ 4.772295
2 French_HGDP @ 5.378747
3 Mixed_Germanic_Dodecad @ 6.127693
4 Kent_1000Genomes @ 7.343984
5 Dutch_Dodecad @ 7.839381
6 CEU30_1000Genomes @ 8.094402
7 English_Dodecad @ 8.145267
8 Cornwall_1000Genomes @ 8.643453
9 British_Dodecad @ 9.361696
10 British_Isles_Dodecad @ 9.730912


1 Argyll_1000Genomes + Argyll_1000Genomes + Dutch_Dodecad + TSI30_Metspalu @ 0.306284
2 Argyll_1000Genomes + Dutch_Dodecad + Irish_Dodecad + TSI30_Metspalu @ 0.306284
3 Argyll_1000Genomes + Dutch_Dodecad + Orcadian_HGDP + TSI30_Metspalu @ 0.306284
4 Argyll_1000Genomes + Dutch_Dodecad + Orkney_1000Genomes + TSI30_Metspalu @ 0.396693
5 Argyll_1000Genomes + British_Isles_Dodecad + Cornwall_1000Genomes + O_Italian_Dodecad @ 0.411809
6 British_Dodecad + CEU30_1000Genomes + Irish_Dodecad + O_Italian_Dodecad @ 0.411809
7 British_Dodecad + CEU30_1000Genomes + O_Italian_Dodecad + Orcadian_HGDP @ 0.411809
8 British_Dodecad + CEU30_1000Genomes + O_Italian_Dodecad + Orkney_1000Genomes @ 0.411809
9 British_Dodecad + English_Dodecad + Irish_Dodecad + O_Italian_Dodecad @ 0.411809
10 British_Dodecad + English_Dodecad + O_Italian_Dodecad + Orcadian_HGDP @ 0.411809

Ibroe
11-02-2019, 03:58 AM
Admix Results (sorted):

# Population Percent
1 East_Asian 84.68
2 South_Asian 9.9
3 Australasian 3.78
4 Atlantic_Baltic 1.37
5 African 0.26

Single Population Sharing:

# Population (source) Distance
1 Cambodians (HGDP) 4.56
2 MAS30 (SGVP) 7.2
3 Lahu 8.9
4 KHV30 (1000Genomes) 10.43
5 Dai (HGDP) 13.36
6 CDX30 (1000Genomes) 13.59
7 CHS30 (SGVP) 13.9
8 Miaozu 14.01
9 She (HGDP) 14.18
10 Han (HGDP) 14.57
11 CHD30 (Metspalu) 14.76
12 Tujia (HGDP) 14.83
13 Chinese (Dodecad) 17.06
14 CHB30 (Metspalu) 17.1
15 Yizu (HGDP) 19.6
16 Naxi (HGDP) 20.56
17 Garo (Chaubey) 21.65
18 Burmanese (Chaubey) 22.8
19 Naga (Metspalu) 25.1
20 Korean (Dodecad) 25.34

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 74.2% Dai (HGDP) + 25.8% PANIYA @1.37
2 73.9% CDX30 (1000Genomes) + 26.1% PANIYA @1.39
3 65.3% MAS30 (SGVP) + 34.7% Dai (HGDP) @1.42
4 65.7% MAS30 (SGVP) + 34.3% CDX30 (1000Genomes) @1.43
5 59.5% MAS30 (SGVP) + 40.5% KHV30 (1000Genomes) @1.55
6 78.7% KHV30 (1000Genomes) + 21.3% PANIYA @1.61
7 76.8% Cambodians (HGDP) + 23.2% Dai (HGDP) @2.23
8 77.2% Cambodians (HGDP) + 22.8% CDX30 (1000Genomes) @2.26
9 55.7% MAS30 (SGVP) + 44.3% Lahu @2.27
10 72% Cambodians (HGDP) + 28% HV30 (1000Genomes) @2.28
11 69.3% Cambodians (HGDP) + 30.7% Lahu @2.57
12 80.3% Cambodians (HGDP) + 19.7% She (HGDP) @3.05
13 80.1% Cambodians (HGDP) + 19.9% CHS30 (SGVP) @3.09
14 80.9% Cambodians (HGDP) + 19.1% Miaozu @3.24
15 82.1% Lahu + 17.9% PANIYA @3.26
16 68.3% MAS30 (SGVP) + 31.7% She (HGDP) @3.26
17 68% MAS30 (SGVP) + 32% CHS30 (SGVP) @3.4
18 90.2% KHV30 (1000Genomes) + 9.8% Nihali (Metspalu) @3.61
19 87.4% KHV30 (1000Genomes) + 12.6% Juang (Chaubey) @3.63
20 91% KHV30 (1000Genomes) + 9% Paniya (Chaubey) @3.64

SUPREEEEEME
11-03-2019, 07:19 AM
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 34.82
2 Southern 34.68
3 Caucasus_Gedrosia 25.52
4 Siberian 1.77
5 African 1.69
6 South_Asian 1.09
7 East_Asian 0.43

Single Population Sharing:

# Population (source) Distance
1 Ashkenazy_Jews 2.77
2 S_Italian_Sicilian (Dodecad) 3.77
3 S_Italian (Dodecad) 3.88
4 Sicilian (Dodecad) 3.98
5 Ashkenazi (Dodecad) 4.02
6 Greek (Dodecad) 4.95
7 C_Italian (Dodecad) 8.97
8 Sephardic_Jews (Behar) 10.27
9 O_Italian (Dodecad) 11.25
10 Morocco_Jews (Behar) 12.27
11 Tuscan (HGDP) 14.32
12 TSI30 (Metspalu) 15.22
13 Turkish (Dodecad) 17.81
14 Cypriots (Behar) 18.12
15 Romanians (Behar) 20.16
16 Bulgarian (Dodecad) 20.25
17 Bulgarians (Yunusbayev) 21.33
18 Turks (Behar) 22.14
19 North_Italian (HGDP) 22.99
20 N_Italian (Dodecad) 23.15

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 90.1% Sicilian (Dodecad) + 9.9% Tajiks (Yunusbayev) @ 1.3
2 87.8% Sicilian (Dodecad) + 12.2% Nogais (Yunusbayev) @ 1.38
3 93.7% Ashkenazy_Jews + 6.3% Tajiks (Yunusbayev) @ 1.55
4 54% N_Italian (Dodecad) + 46% Syrians (Behar) @ 1.56
5 54% Canarias (1000 Genomes) + 46% Uzbekistan_Jews @ 1.68
6 95.9% Ashkenazy_Jews + 4.1% Burusho (HGDP) @ 1.72
7 95.7% Ashkenazy_Jews + 4.3% Pathan (HGDP) @ 1.74
8 65.3% Bulgarian (Dodecad) + 34.7% Saudis (Behar) @ 1.76
9 96.4% Ashkenazy_Jews + 3.6% Kalash @ 1.76
10 92.7% Ashkenazy_Jews + 7.3% Nogais (Yunusbayev) @ 1.77
11 96.2% Ashkenazy_Jews + 3.8% Sindhi (HGDP) @ 1.79
12 89.1% Greek (Dodecad) + 10.9% Yemenese (Behar) @ 1.79
13 70.9% O_Italian (Dodecad) + 29.1% Syrians (Behar) @ 1.81
14 55% Portuguese (Dodecad) + 45% Iranian_Jews (Behar) @ 1.84
15 92.2% S_Italian_Sicilian (Dodecad) + 7.8% Uzbeks (Behar) @ 1.84
16 93.8% Ashkenazy_Jews + 6.2% Turkmens (Yunusbayev) @ 1.87
17 96% Ashkenazy_Jews + 4% Makrani @ 1.89
18 91.7% Sicilian (Dodecad) + 8.3% Uzbeks (Behar) @ 1.89
19 51.7% N_Italian (Dodecad) + 48.3% Lebanese (Behar) @ 1.9
20 96.2% Ashkenazy_Jews + 3.8% Balochi (HGDP) @ 1.91

Mis
11-03-2019, 08:13 AM
------West Slav------
# Population Percent
1 Atlantic_Baltic 73.68
2 Caucasus_Gedrosia 12.75
3 Southern 11.1
4 Siberian 1.05
5 Amerindian 0.99
6 African 0.43

Single Population Sharing:

# Population (source) Distance
1 German (Dodecad) 1.63
2 Dutch (Dodecad) 1.71
3 CEU30 (1000Genomes) 2.44
4 Mixed_Germanic (Dodecad) 2.49
5 Kent (1000 Genomes) 3.03
6 British (Dodecad) 3.09
7 Cornwall (1000 Genomes) 3.18
8 Argyll (1000 Genomes) 3.66
9 British_Isles (Dodecad) 3.87
10 Irish (Dodecad) 4.05
11 Orcadian (HGDP) 4.37
12 Ukranians (Yunusbayev) 4.69
13 Orkney (1000 Genomes) 4.81
14 Polish (Dodecad) 5.39
15 Hungarians (Behar) 5.91
16 Belorussian (Behar) 7.25
17 Norwegian (Dodecad) 8.11
18 French (HGDP) 8.32
19 Swedish (Dodecad) 8.38
20 Russian_B (Behar) 8.55

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 59.7% Irish (Dodecad) + 40.3% Hungarians (Behar) @ 0.97
2 61.5% Lithuanian (Dodecad) + 38.5% N_Italian (Dodecad) @ 1.03
3 62.4% Argyll (1000 Genomes) + 37.6% Hungarians (Behar) @ 1.04
4 97.6% German (Dodecad) + 2.4% Nogais (Yunusbayev) @ 1.05
5 95.9% German (Dodecad) + 4.1% Aleut @ 1.05
6 98.5% German (Dodecad) + 1.5% EastGreenland @ 1.05
7 62.5% Lithuanians + 37.5% North_Italian (HGDP) @ 1.06
8 98.1% German (Dodecad) + 1.9% WestGreenland @ 1.07
9 95.6% Dutch (Dodecad) + 4.4% Aleut @ 1.07
10 57.8% Orcadian (HGDP) + 42.2% Hungarians (Behar) @ 1.07
11 79.4% Polish (Dodecad) + 20.6% Baleares (1000 Genomes) @ 1.09
12 95.5% German (Dodecad) + 4.5% Chuvashs (Behar) @ 1.09
13 98.7% German (Dodecad) + 1.3% Chukchi @ 1.09
14 93.5% Irish (Dodecad) + 6.5% Turkish (Dodecad) @ 1.1
15 79.6% Swedish (Dodecad) + 20.4% O_Italian (Dodecad) @ 1.1
16 98% German (Dodecad) + 2% Uzbeks (Behar) @ 1.1
17 93.9% Irish (Dodecad) + 6.1% Turks (Behar) @ 1.11
18 61.2% Lithuanians + 38.8% N_Italian (Dodecad) @ 1.11
19 95.7% Argyll (1000 Genomes) + 4.3% Bedouin (HGDP) @ 1.11
20 98% German (Dodecad) + 2% Tajiks (Yunusbayev) @ 1.12

Achmadzaky
05-07-2020, 07:38 AM
General Admixture Dodecad World9
37493

Population nMonte
37494

Population Oracle

Oracle Calculator by www.dnagenics.com
v1.5 07/02/2020

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

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


Mixed Mode:
1 62,11% Palestinian + 37,89% MAS30 @ 4,281
2 62,89% Jordanians + 37,11% MAS30 @ 4,336
3 63,67% Jordanians + 36,33% Cambodians @ 4,484
4 62,89% Palestinian + 37,11% Cambodians @ 4,588
5 59,77% Palestinian + 40,23% Garo_Ch @ 4,892
6 60,55% Jordanians + 39,45% Garo_Ch @ 5,110
7 57,42% Palestinian + 42,58% Burmanese_Ch @ 5,251
8 55,86% Bedouin + 44,14% Burmanese_Ch @ 5,728
9 58,98% Jordanians + 41,02% Burmanese_Ch @ 5,729
10 57,42% Egyptans + 42,58% Burmanese_Ch @ 6,226

Least-squares method.

Using 1 populations approximation
1 100% Uygur @ 34,561
2 100% Hazara @ 35,510
3 100% Yemenese @ 35,698
4 100% Turkmens_Y @ 36,155
5 100% Uzbeks @ 36,428
6 100% Jordanians @ 36,470
7 100% Lebanese @ 36,802
8 100% Palestinian @ 37,703
9 100% Syrians @ 37,767
10 100% Egyptans @ 37,966

Using 2 populations approximation
1 50% Bedouin + 50% Burmanese_Ch @ 7,757
2 50% Saudis + 50% Burmanese_Ch @ 8,211
3 50% Palestinian + 50% Burmanese_Ch @ 8,643
4 50% Yemen_Jews + 50% Burmanese_Ch @ 8,990
5 50% Samaritians + 50% Burmanese_Ch @ 9,180
6 50% Egyptans + 50% Burmanese_Ch @ 9,187
7 50% Jordanians + 50% Burmanese_Ch @ 9,437
8 50% Bedouin + 50% Khasi_Ch @ 9,769
9 50% Bedouin + 50% Garo_Ch @ 9,959
10 50% Samaritians + 50% Garo_Ch @ 9,982

Using 3 populations approximation
1 33% Syrians + 33% Egyptans + 33% Cambodians @ 4,268
2 33% Syrians + 33% Egyptans + 33% MAS30 @ 4,765
3 33% Palestinian + 33% Egyptans + 33% Cambodians @ 5,296
4 33% Jordanians + 33% Jordanians + 33% Cambodians @ 5,339
5 33% Jordanians + 33% Palestinian + 33% Cambodians @ 5,539
6 33% Palestinian + 33% Egyptans + 33% MAS30 @ 5,588
7 33% Jordanians + 33% Jordanians + 33% MAS30 @ 5,798
8 33% Palestinian + 33% Palestinian + 33% Cambodians @ 5,906
9 33% Jordanians + 33% Palestinian + 33% MAS30 @ 5,992
10 33% Palestinian + 33% Palestinian + 33% MAS30 @ 6,342

Using 4 populations approximation
1 25% Yemenese + 25% Yemenese + 25% Turkmens_Y + 25% Dai @ 8,414
2 25% Yemenese + 25% Yemenese + 25% Turkmens_Y + 25% CDX30 @ 8,419
3 25% Yemenese + 25% Yemenese + 25% Turkmens_Y + 25% KHV30 @ 8,523
4 25% Yemenese + 25% Yemenese + 25% Turkmens_Y + 25% Lahu @ 8,915
5 25% Yemenese + 25% Yemenese + 25% Uzbeks + 25% Cambodians @ 9,444
6 25% Yemenese + 25% Yemenese + 25% Uzbeks + 25% KHV30 @ 9,454
7 25% Yemenese + 25% Yemenese + 25% Turkmens_Y + 25% Cambodians @ 9,502
8 25% Yemenese + 25% Yemenese + 25% Uzbeks + 25% Dai @ 9,507
9 25% Yemenese + 25% Yemenese + 25% Turkmens_Y + 25% She @ 9,514
10 25% Yemenese + 25% Yemenese + 25% Uzbeks + 25% CDX30 @ 9,533

btree
06-12-2020, 10:00 AM
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 72.91
2 Southern 12.16
3 Caucasus_Gedrosia 12.13
4 Siberian 1.75
5 East_Asian 1.03

Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 2.217725
2 Dutch_Dodecad @ 2.480786
3 German_Dodecad @ 2.731012
4 CEU30_1000Genomes @ 3.352715
5 Kent_1000 Genomes @ 3.827363
6 Cornwall_1000 Genomes @ 3.867177
7 British_Dodecad @ 3.882824
8 British_Isles_Dodecad @ 4.927457
9 Argyll_1000 Genomes @ 5.361710
10 Irish_Dodecad @ 5.634480
11 Hungarians_Behar @ 5.741805
12 Orcadian_HGDP @ 5.887296
13 Ukranians_Yunusbayev @ 5.982468
14 Orkney_1000 Genomes @ 6.286360
15 Polish_Dodecad @ 7.130493
16 French_HGDP @ 7.538193
17 French_Dodecad @ 8.621467
18 Belorussian_Behar @ 9.017918
19 Norwegian_Dodecad @ 9.832235
20 Russian_B_Behar @ 9.978767

Using 2 populations approximation:
1 50% French_Dodecad +50% Russian_B_Behar @ 1.453272

Using 3 populations approximation:
1 50% Norwegian_Dodecad +25% N_Italian_Dodecad +25% Ukranians_Yunusbayev @ 0.914354

Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++
1 Norwegian_Dodecad + Spaniards_Behar + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.892608
2 Norwegian_Dodecad + Norwegian_Dodecad + N_Italian_Dodecad + Ukranians_Yunusbayev @ 0.914354
3 Norwegian_Dodecad + Norwegian_Dodecad + North_Italian_HGDP + Ukranians_Yunusbayev @ 0.933343
4 Swedish_Dodecad + Norwegian_Dodecad + North_Italian_HGDP + Ukranians_Yunusbayev @ 0.948430
5 Polish_Dodecad + Norwegian_Dodecad + Baleares_1000 Genomes + Ukranians_Yunusbayev @ 0.958632
6 Norwegian_Dodecad + Valencia_1000 Genomes + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.974365
7 Norwegian_Dodecad + Belorussian_Behar + Baleares_1000 Genomes + Ukranians_Yunusbayev @ 0.982097
8 Swedish_Dodecad + Spaniards_Behar + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.986178
9 French_Dodecad + Norwegian_Dodecad + Hungarians_Behar + Ukranians_Yunusbayev @ 0.988039
10 Polish_Dodecad + Cantabria_1000 Genomes + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.998970
11 Irish_Dodecad + Polish_Dodecad + Russian_B_Behar + Baleares_1000 Genomes @ 1.016307
12 Swedish_Dodecad + Swedish_Dodecad + North_Italian_HGDP + Ukranians_Yunusbayev @ 1.017503
13 Norwegian_Dodecad + North_Italian_HGDP + Orcadian_HGDP + Russian_B_Behar @ 1.021761
14 Irish_Dodecad + Norwegian_Dodecad + North_Italian_HGDP + Russian_B_Behar @ 1.022116
15 Polish_Dodecad + Swedish_Dodecad + Baleares_1000 Genomes + Ukranians_Yunusbayev @ 1.023428
16 Spanish_Dodecad + Hungarians_Behar + Lithuanians + Ukranians_Yunusbayev @ 1.025933
17 Norwegian_Dodecad + North_Italian_HGDP + Russian_B_Behar + Orkney_1000 Genomes @ 1.035630
18 Polish_Dodecad + French_Dodecad + French_HGDP + Russian_B_Behar @ 1.036693
19 Belorussian_Behar + Russian_B_Behar + Kent_1000 Genomes + Baleares_1000 Genomes @ 1.041436
20 Norwegian_Dodecad + British_Isles_Dodecad + N_Italian_Dodecad + Russian_B_Behar @ 1.045322

Shuzam87
08-14-2020, 08:44 PM
Admix Results (sorted):

# Population Percent
1 East_Asian 78.99
2 Siberian 16.75
3 Caucasus_Gedrosia 1.27
4 Atlantic_Baltic 1.04
5 Australasian 0.86
6 Southern 0.74
7 African 0.18
8 Amerindian 0.17

Using 1 population approximation:

1 Yizu_HGDP @ 2.928489
2 Naxi_HGDP @ 3.745232
3 CHB30_Metspalu @ 6.437540
4 Chinese_Dodecad @ 6.960597
5 Korean_Dodecad @ 6.976652
6 Naga_Metspalu @ 8.149081
7 JPT30_Behar @ 8.890916
8 Japanese_HGDP @ 9.020851
9 Japanese_Dodecad @ 9.980955
10 Tu_HGDP @ 11.709850
11 Han_HGDP @ 11.862538
12 Tujia_HGDP @ 11.881467
13 CHD30_Metspalu @ 11.936251
14 Miaozu @ 15.276802
15 CHS30_SGVP @ 16.520130
16 She_HGDP @ 17.188236
17 Lahu @ 18.622942
18 Cambodians_HGDP @ 21.077738
19 MAS30_SGVP @ 21.811571
20 KHV30_1000Genomes @ 22.200180

Using 2 populations approximation:

1 50% Tu_HGDP +50% Tujia_HGDP @ 1.235556

Using 3 populations approximation:

1 50% She_HGDP +25% Tu_HGDP +25% Xibo_HGDP @ 0.989607

Using 4 populations approximation:

1 She_HGDP + Tu_HGDP + Xibo_HGDP + CHS30_SGVP @ 0.950509
2 Tu_HGDP + Xibo_HGDP + CHS30_SGVP + CHS30_SGVP @ 0.966493
3 She_HGDP + She_HGDP + Tu_HGDP + Xibo_HGDP @ 0.989607
4 Miaozu + She_HGDP + Tu_HGDP + Xibo_HGDP @ 1.074084
5 Miaozu + Tu_HGDP + Xibo_HGDP + CHS30_SGVP @ 1.103087
6 Dai_HGDP + Tu_HGDP + Tujia_HGDP + Xibo_HGDP @ 1.167187
7 Tu_HGDP + Tujia_HGDP + Xibo_HGDP + CDX30_1000Genomes @ 1.181068
8 Dai_HGDP + Tu_HGDP + Xibo_HGDP + CHD30_Metspalu @ 1.203806
9 Han_HGDP + Tu_HGDP + Xibo_HGDP + CDX30_1000Genomes @ 1.210007
10 Tu_HGDP + Xibo_HGDP + CHD30_Metspalu + CDX30_1000Genomes @ 1.217309
11 Dai_HGDP + Han_HGDP + Tu_HGDP + Xibo_HGDP @ 1.228316
12 Tu_HGDP + Tu_HGDP + Tujia_HGDP + Tujia_HGDP @ 1.235556
13 Mongola_HGDP + Tu_HGDP + CHS30_SGVP + CDX30_1000Genomes @ 1.242109
14 Mongola_HGDP + She_HGDP + Tu_HGDP + CDX30_1000Genomes @ 1.243811
15 Tu_HGDP + Tu_HGDP + Tujia_HGDP + CHD30_Metspalu @ 1.246520
16 Han_HGDP + Tu_HGDP + Tu_HGDP + Tujia_HGDP @ 1.248293
17 Dai_HGDP + Mongola_HGDP + Tu_HGDP + CHS30_SGVP @ 1.252418
18 Dai_HGDP + Mongola_HGDP + She_HGDP + Tu_HGDP @ 1.252610
19 Tu_HGDP + Tu_HGDP + CHD30_Metspalu + CHD30_Metspalu @ 1.257885
20 Han_HGDP + Tu_HGDP + Tu_HGDP + CHD30_Metspalu @ 1.260137

Sam1989
09-19-2020, 05:20 PM
Admix Results (sorted):

# Population Percent
1 Southern 41.17
2 Atlantic_Baltic 28.69
3 Caucasus_Gedrosia 27.30
4 African 1.35


Using 1 population approximation:
1 Sephardic_Jews_Behar @ 2.564565
2 Morocco_Jews_Behar @ 6.010404
3 Ashkenazi_Dodecad @ 6.946417
4 S_Italian_Dodecad @ 6.956211
5 S_Italian_Sicilian_Dodecad @ 7.820732
6 Ashkenazy_Jews @ 8.506487
7 Sicilian_Dodecad @ 8.541581
8 Cypriots_Behar @ 11.818454
9 Greek_Dodecad @ 13.185652
10 Turkish_Dodecad @ 17.360205
11 C_Italian_Dodecad @ 17.624437
12 Lebanese_Behar @ 19.741564
13 O_Italian_Dodecad @ 20.651993
14 Turks_Behar @ 22.068403
15 Druze_HGDP @ 22.564137
16 Syrians_Behar @ 22.678570
17 Jordanians_Behar @ 23.123032
18 Palestinian_HGDP @ 23.259127
19 Tuscan_HGDP @ 23.822296
20 Armenians_Behar @ 24.373753

Using 2 populations approximation:
1 50% Sicilian_Dodecad +50% Cypriots_Behar @ 2.448881


Using 3 populations approximation:
1 50% Tuscan_HGDP +25% Lebanese_Behar +25% Samaritians_Behar @ 0.812437


Using 4 populations approximation:
1 Ashkenazi_Dodecad + C_Italian_Dodecad + Druze_HGDP + Morocco_Jews_Behar @ 0.702434
2 C_Italian_Dodecad + Georgia_Jews_Behar + Samaritians_Behar + Canarias_1000 Genomes @ 0.750572
3 Ashkenazi_Dodecad + S_Italian_Dodecad + Cypriots_Behar + Morocco_Jews_Behar @ 0.786942
4 Tuscan_HGDP + Tuscan_HGDP + Lebanese_Behar + Samaritians_Behar @ 0.812437
5 Druze_HGDP + Ashkenazy_Jews + Samaritians_Behar + Spaniards_Behar @ 0.813203
6 Ashkenazi_Dodecad + Ashkenazi_Dodecad + Cypriots_Behar + Morocco_Jews_Behar @ 0.813866
7 Tuscan_HGDP + TSI30_Metspalu + Lebanese_Behar + Samaritians_Behar @ 0.824780
8 Greek_Dodecad + Portuguese_Dodecad + Druze_HGDP + Samaritians_Behar @ 0.838357
9 Ashkenazi_Dodecad + Ashkenazi_Dodecad + Cypriots_Behar + Sephardic_Jews_Behar @ 0.848465
10 Druze_HGDP + Tuscan_HGDP + Sephardic_Jews_Behar + Sephardic_Jews_Behar @ 0.848924
11 Druze_HGDP + Ashkenazy_Jews + Samaritians_Behar + Valencia_1000 Genomes @ 0.857156
12 Ashkenazi_Dodecad + French_Dodecad + Georgia_Jews_Behar + Yemen_Jews_Behar @ 0.863925
13 Tuscan_HGDP + Iraq_Jews_Behar + Samaritians_Behar + Canarias_1000 Genomes @ 0.871801
14 Greek_Dodecad + Cypriots_Behar + Morocco_Jews_Behar + Sephardic_Jews_Behar @ 0.878958
15 Ashkenazi_Dodecad + French_HGDP + Georgia_Jews_Behar + Yemen_Jews_Behar @ 0.887904
16 Cypriots_Behar + Georgia_Jews_Behar + Morocco_Jews_Behar + Murcia_1000 Genomes @ 0.889449
17 N_Italian_Dodecad + Tuscan_HGDP + Georgia_Jews_Behar + Yemen_Jews_Behar @ 0.898137
18 TSI30_Metspalu + TSI30_Metspalu + Lebanese_Behar + Samaritians_Behar @ 0.898209
19 Greek_Dodecad + Druze_HGDP + Samaritians_Behar + Extremadura_1000 Genomes @ 0.899897
20 French_Dodecad + Ashkenazy_Jews + Georgia_Jews_Behar + Yemen_Jews_Behar @ 0.902641

Kapisa
11-03-2020, 04:14 AM
Admix Results (sorted):

# Population Percent
1 Caucasus_Gedrosia 46.75
2 South_Asian 35.91
3 Southern 6.06
4 Atlantic_Baltic 5.86
5 Siberian 2.39
6 Amerindian 1.80
7 African 1.22


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

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

Least-squares method.

Using 1 population approximation:
1 Sindhi_HGDP @ 3.342168
2 Pathan_HGDP @ 6.854077
3 Burusho_HGDP @ 9.440293
4 Balochi_HGDP @ 16.564163