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Yes.Quote:
Originally Posted by Petalpusher
Landes/Haute Garonne to Gers to Hérault to Var & up to Isère. Or below Bordeaux to Geneva (as there's two Swiss). To a lesser degree some other areas would be Loire & Vienne.
There's at least one, maybe two, potential/reported Basque surnames in the mix as well.
Let's see your Eurogenes K13 resultsQuote:
Originally Posted by Frenchie
https://www.theapricity.com/forum/sh...3-Fresh-thread
It's supposedly the best calculator for Europeans.
Yep, hereQuote:
Originally Posted by Leto
https://www.theapricity.com/forum/sh...31#post6215231
# Primary Population (source) Secondary Population (source) Distance
1 55.2% Lithuanians + 44.8% Portuguese (Dodecad) @ 1.06
2 51.9% Lithuanians + 48.1% Spaniards (Behar) @ 1.13
3 55.8% Lithuanians + 44.2% Andalucia (1000 Genomes) @ 1.13
4 54.5% Lithuanians + 45.5% Extremadura (1000 Genomes) @ 1.14
5 53.8% Lithuanians + 46.2% Castilla_La_Mancha (1000 Genomes) @ 1.17
6 54% Lithuanians + 46% Galicia (1000 Genomes) @ 1.18
7 61.1% Belorussian (Behar) + 38.9% Cantabria (1000 Genomes) @ 1.23
8 56.1% Lithuanian (Dodecad) + 43.9% Andalucia (1000 Genomes) @ 1.23
9 59.1% Lithuanians + 40.9% Murcia (1000 Genomes) @ 1.24
10 68.5% Norwegian (Dodecad) + 31.5% Baleares (1000 Genomes) @ 1.24
11 67.9% Norwegian (Dodecad) + 32.1% Extremadura (1000 Genomes) @ 1.26
12 54.3% Lithuanians + 45.7% Castilla_Y_Leon (1000 Genomes) @ 1.27
13 66.2% Swedish (Dodecad) + 33.8% Extremadura (1000 Genomes) @ 1.29
14 52.3% Lithuanian (Dodecad) + 47.7% Spaniards (Behar) @ 1.3
15 67.4% Swedish (Dodecad) + 32.6% Andalucia (1000 Genomes) @ 1.31
16 71.8% Norwegian (Dodecad) + 28.2% Murcia (1000 Genomes) @ 1.32
17 54.8% Lithuanian (Dodecad) + 45.2% Extremadura (1000 Genomes) @ 1.34
18 69% Norwegian (Dodecad) + 31% Andalucia (1000 Genomes) @ 1.35
19 55.6% Lithuanian (Dodecad) + 44.4% Portuguese (Dodecad) @ 1.35
20 50.9% Lithuanians + 49.1% Valencia (1000 Genomes) @ 1.36
Using 2 populations approximation:
1 50% Lithuanians +50% Spaniards_Behar @ 1.169068
Using 3 populations approximation:
1 50% Norwegian_Dodecad +25% Portuguese_Dodecad +25% Dutch_Dodecad @ 0.900639
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++
1 Polish_Dodecad + Norwegian_Dodecad + Norwegian_Dodecad + Canarias_1000 Genomes @ 0.875305
2 Norwegian_Dodecad + Portuguese_Dodecad + French_HGDP + Lithuanians @ 0.898037
3 Norwegian_Dodecad + Norwegian_Dodecad + Portuguese_Dodecad + Dutch_Dodecad @ 0.900639
4 German_Dodecad + Norwegian_Dodecad + Norwegian_Dodecad + Portuguese_Dodecad @ 0.906767
5 Norwegian_Dodecad + Norwegian_Dodecad + Dutch_Dodecad + Extremadura_1000 Genomes @ 0.913112
6 Norwegian_Dodecad + Norwegian_Dodecad + Mixed_Germanic_Dodecad + Extremadura_1000 Genomes @ 0.916841
7 German_Dodecad + Norwegian_Dodecad + Norwegian_Dodecad + Extremadura_1000 Genomes @ 0.930152
8 Norwegian_Dodecad + French_HGDP + Lithuanians + Extremadura_1000 Genomes @ 0.943558
9 British_Dodecad + Polish_Dodecad + Norwegian_Dodecad + Portuguese_Dodecad @ 0.958628
10 Norwegian_Dodecad + Norwegian_Dodecad + Mixed_Germanic_Dodecad + Portuguese_Dodecad @ 0.967714
11 Swedish_Dodecad + Norwegian_Dodecad + Mixed_Germanic_Dodecad + Portuguese_Dodecad @ 0.971615
12 Swedish_Dodecad + Portuguese_Dodecad + French_HGDP + Lithuanians @ 0.972505
13 German_Dodecad + Norwegian_Dodecad + Norwegian_Dodecad + Andalucia_1000 Genomes @ 0.980463
14 Norwegian_Dodecad + Mixed_Germanic_Dodecad + Lithuanians + Canarias_1000 Genomes @ 0.984426
15 Swedish_Dodecad + Norwegian_Dodecad + Mixed_Germanic_Dodecad + Extremadura_1000 Genomes @ 0.985409
16 German_Dodecad + Swedish_Dodecad + Norwegian_Dodecad + Portuguese_Dodecad @ 1.000252
17 Norwegian_Dodecad + Norwegian_Dodecad + Dutch_Dodecad + Andalucia_1000 Genomes @ 1.001244
18 Norwegian_Dodecad + Norwegian_Dodecad + Argyll_1000 Genomes + Murcia_1000 Genomes @ 1.004707
19 British_Dodecad + Polish_Dodecad + Norwegian_Dodecad + Castilla_Y_Leon_1000 Genomes @ 1.004864
20 British_Dodecad + Norwegian_Dodecad + Portuguese_Dodecad + Belorussian_Behar @ 1.011393
# Population Percent
1 Atlantic_Baltic 73.74
2 Caucasus_Gedrosia 13.14
3 Southern 11.92
Finished reading population data. 250 populations found.
9 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Dutch_Dodecad @ 1.459007
2 German_Dodecad @ 1.794719
3 Mixed_Germanic_Dodecad @ 1.850910
4 CEU30_1000Genomes @ 2.849720
5 Kent_1000 Genomes @ 3.336621
6 Cornwall_1000 Genomes @ 3.393745
7 British_Dodecad @ 3.518147
8 Argyll_1000 Genomes @ 4.491936
9 British_Isles_Dodecad @ 4.516714
10 Irish_Dodecad @ 4.865972
11 Orcadian_HGDP @ 5.173915
12 Orkney_1000 Genomes @ 5.716285
13 Ukranians_Yunusbayev @ 5.729512
14 Hungarians_Behar @ 6.250341
15 Polish_Dodecad @ 6.474383
16 French_HGDP @ 8.223560
17 Belorussian_Behar @ 8.496840
18 French_Dodecad @ 9.310971
19 Norwegian_Dodecad @ 9.550028
20 Swedish_Dodecad @ 9.865273
Using 2 populations approximation:
1 50% Orcadian_HGDP +50% Hungarians_Behar @ 1.366175
Using 3 populations approximation:
1 50% Dutch_Dodecad +25% Hungarians_Behar +25% Argyll_1000 Genomes @ 1.133343
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++
1 German_Dodecad + N_Italian_Dodecad + Lithuanians + Argyll_1000 Genomes @ 1.115049
2 N_Italian_Dodecad + Lithuanians + Argyll_1000 Genomes + Argyll_1000 Genomes @ 1.127950
3 Irish_Dodecad + German_Dodecad + Dutch_Dodecad + Hungarians_Behar @ 1.128492
4 Irish_Dodecad + N_Italian_Dodecad + Lithuanians + Argyll_1000 Genomes @ 1.129119
5 German_Dodecad + Mixed_Germanic_Dodecad + Hungarians_Behar + Argyll_1000 Genomes @ 1.130031
6 Polish_Dodecad + N_Italian_Dodecad + Lithuanians + Cornwall_1000 Genomes @ 1.130583
7 Dutch_Dodecad + Dutch_Dodecad + Hungarians_Behar + Argyll_1000 Genomes @ 1.133343
8 German_Dodecad + German_Dodecad + German_Dodecad + Hungarians_Behar @ 1.135982
9 Irish_Dodecad + German_Dodecad + Mixed_Germanic_Dodecad + Hungarians_Behar @ 1.137328
10 Polish_Dodecad + N_Italian_Dodecad + Lithuanians + Kent_1000 Genomes @ 1.137548
11 German_Dodecad + German_Dodecad + Hungarians_Behar + Kent_1000 Genomes @ 1.142719
12 German_Dodecad + Dutch_Dodecad + Orcadian_HGDP + Hungarians_Behar @ 1.149611
13 Irish_Dodecad + Dutch_Dodecad + Dutch_Dodecad + Hungarians_Behar @ 1.153355
14 N_Italian_Dodecad + Orcadian_HGDP + Lithuanians + Argyll_1000 Genomes @ 1.155306
15 German_Dodecad + Dutch_Dodecad + Hungarians_Behar + Argyll_1000 Genomes @ 1.158399
16 Irish_Dodecad + German_Dodecad + German_Dodecad + Hungarians_Behar @ 1.165662
17 Dutch_Dodecad + Dutch_Dodecad + Orcadian_HGDP + Hungarians_Behar @ 1.167292
18 Irish_Dodecad + German_Dodecad + N_Italian_Dodecad + Lithuanians @ 1.168059
19 German_Dodecad + German_Dodecad + Hungarians_Behar + Argyll_1000 Genomes @ 1.168292
20 German_Dodecad + Mixed_Germanic_Dodecad + Orcadian_HGDP + Hungarians_Behar @ 1.175002
I combined three of my kits for a superkit:
# Population Percent
1 Atlantic_Baltic 73.27
2 Southern 13.14
3 Caucasus_Gedrosia 10.06
4 Siberian 2.09
5 South_Asian 0.71
6 Australasian 0.48
7 African 0.16
8 Amerindian 0.1
Single Population Sharing:
# Population (source) Distance
1 Mixed_Germanic (Dodecad) 2.52
2 Cornwall (1000 Genomes) 3.2
3 Dutch (Dodecad) 3.2
4 CEU30 (1000Genomes) 3.21
5 British (Dodecad) 3.29
6 Kent (1000 Genomes) 3.3
7 German (Dodecad) 3.32
8 British_Isles (Dodecad) 4.11
9 Irish (Dodecad) 5.43
10 Orcadian (HGDP) 5.5
11 Argyll (1000 Genomes) 5.57
12 Orkney (1000 Genomes) 5.65
13 Hungarians (Behar) 6.33
14 French (HGDP) 6.44
15 French (Dodecad) 7.18
16 Ukranians (Yunusbayev) 7.38
17 Polish (Dodecad) 7.63
18 Norwegian (Dodecad) 8.97
19 Belorussian (Behar) 9.43
20 Swedish (Dodecad) 9.52
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 65.2% Ukranians (Yunusbayev) + 34.8% Pais_Vasco (1000 Genomes) @ 0.82
2 78.8% Belorussian (Behar) + 21.2% Sardinian @ 0.84
3 65.7% Ukranians (Yunusbayev) + 34.3% French_Basque @ 0.85
4 69.9% French (HGDP) + 30.1% FIN30 (1000Genomes) @ 0.94
5 70.3% French (HGDP) + 29.7% Finnish (Dodecad) @ 0.94
6 62.8% Belorussian (Behar) + 37.2% Aragon (1000 Genomes) @ 0.97
7 61.4% Belorussian (Behar) + 38.6% Cantabria (1000 Genomes) @ 1.06
8 66.1% Swedish (Dodecad) + 33.9% Baleares (1000 Genomes) @ 1.07
9 62.8% Belorussian (Behar) + 37.2% Spanish (Dodecad) @ 1.08
10 65.7% Belorussian (Behar) + 34.3% Castilla_Y_Leon (1000 Genomes) @ 1.13
11 62.6% Belorussian (Behar) + 37.4% Valencia (1000 Genomes) @ 1.17
12 59.5% Belorussian (Behar) + 40.5% Cataluna (1000 Genomes) @ 1.19
13 67.7% French (Dodecad) + 32.3% FIN30 (1000Genomes) @ 1.23
14 70.6% Norwegian (Dodecad) + 29.4% North_Italian (HGDP) @ 1.26
15 65.2% Belorussian (Behar) + 34.8% Castilla_La_Mancha (1000 Genomes) @ 1.26
16 82.2% Polish (Dodecad) + 17.8% Sardinian @ 1.3
17 68.1% French (Dodecad) + 31.9% Finnish (Dodecad) @ 1.35
18 54.9% Lithuanian (Dodecad) + 45.1% Baleares (1000 Genomes) @ 1.35
19 67.8% Polish (Dodecad) + 32.2% Aragon (1000 Genomes) @ 1.35
20 55.6% Lithuanian (Dodecad) + 44.4% Andalucia (1000 Genomes) @ 1.37
Admix Results (sorted):
# Population Percent
1 Atlantic_Baltic 74.72
2 Caucasus_Gedrosia 13.46
3 Southern 10.35
Finished reading population data. 250 populations found.
9 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 German_Dodecad @ 1.882211
2 Dutch_Dodecad @ 1.922852
3 CEU30_1000Genomes @ 2.744357
4 Argyll_1000 Genomes @ 2.985967
5 Mixed_Germanic_Dodecad @ 3.311661
6 British_Dodecad @ 3.363814
7 Kent_1000 Genomes @ 3.400328
8 Cornwall_1000 Genomes @ 3.634281
9 Irish_Dodecad @ 3.715166
10 British_Isles_Dodecad @ 4.066086
11 Orcadian_HGDP @ 4.179966
12 Ukranians_Yunusbayev @ 4.207326
13 Polish_Dodecad @ 4.484771
14 Orkney_1000 Genomes @ 4.680659
15 Belorussian_Behar @ 6.511607
16 Hungarians_Behar @ 7.497999
17 Norwegian_Dodecad @ 8.080275
18 Russian_B_Behar @ 8.129309
19 Swedish_Dodecad @ 8.219852
20 Russian_Dodecad @ 8.767193
Using 2 populations approximation:
1 50% Cornwall_1000 Genomes +50% Ukranians_Yunusbayev @ 1.009817
Using 3 populations approximation:
1 50% Polish_Dodecad +25% Mixed_Germanic_Dodecad +25% Hungarians_Behar @ 0.587727
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++
1 Polish_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Ukranians_Yunusbayev @ 0.560724
2 Polish_Dodecad + Polish_Dodecad + Mixed_Germanic_Dodecad + Hungarians_Behar @ 0.587727
3 Dutch_Dodecad + Dutch_Dodecad + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 0.610215
4 Mixed_Germanic_Dodecad + Dutch_Dodecad + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 0.613434
5 Polish_Dodecad + Mixed_Germanic_Dodecad + Dutch_Dodecad + Ukranians_Yunusbayev @ 0.670298
6 Irish_Dodecad + Dutch_Dodecad + Dutch_Dodecad + Ukranians_Yunusbayev @ 0.686126
7 Irish_Dodecad + Dutch_Dodecad + Belorussian_Behar + Hungarians_Behar @ 0.688497
8 Polish_Dodecad + Dutch_Dodecad + Hungarians_Behar + Argyll_1000 Genomes @ 0.688657
9 German_Dodecad + Dutch_Dodecad + Dutch_Dodecad + Ukranians_Yunusbayev @ 0.696927
10 Dutch_Dodecad + Belorussian_Behar + Hungarians_Behar + Argyll_1000 Genomes @ 0.707914
11 Polish_Dodecad + German_Dodecad + Hungarians_Behar + Argyll_1000 Genomes @ 0.709730
12 German_Dodecad + German_Dodecad + Dutch_Dodecad + Ukranians_Yunusbayev @ 0.711199
13 German_Dodecad + Mixed_Germanic_Dodecad + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 0.721245
14 Irish_Dodecad + Polish_Dodecad + Dutch_Dodecad + Hungarians_Behar @ 0.728466
15 Mixed_Germanic_Dodecad + Belorussian_Behar + Hungarians_Behar + Argyll_1000 Genomes @ 0.738342
16 Polish_Dodecad + Polish_Dodecad + Dutch_Dodecad + Hungarians_Behar @ 0.746665
17 Dutch_Dodecad + N_Italian_Dodecad + Lithuanians + Lithuanians @ 0.752766
18 Dutch_Dodecad + Dutch_Dodecad + Dutch_Dodecad + Ukranians_Yunusbayev @ 0.759562
19 German_Dodecad + Dutch_Dodecad + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 0.760056
20 Irish_Dodecad + Polish_Dodecad + German_Dodecad + Hungarians_Behar @ 0.761111
Done.
Admix Results (sorted):
# Population Percent
1 Atlantic_Baltic 58.79
2 Southern 28.04
3 Caucasus_Gedrosia 10.06
4 African 1.89
5 Amerindian 0.88
6 Siberian 0.24
7 Australasian 0.09
Single Population Sharing:
# Population (source) Distance
1 Baleares (1000 Genomes) 2.31
2 Andalucia (1000 Genomes) 3.03
3 Extremadura (1000 Genomes) 3.23
4 Murcia (1000 Genomes) 3.63
5 Portuguese (Dodecad) 3.97
6 Galicia (1000 Genomes) 4.18
7 North_Italian (HGDP) 4.7
8 Castilla_La_Mancha (1000 Genomes) 4.95
9 Spaniards (Behar) 5.14
10 Castilla_Y_Leon (1000 Genomes) 5.46
11 N_Italian (Dodecad) 5.46
12 Canarias (1000 Genomes) 6.23
13 Valencia (1000 Genomes) 6.36
14 Spanish (Dodecad) 6.53
15 Cataluna (1000 Genomes) 7.47
16 Aragon (1000 Genomes) 8.5
17 Cantabria (1000 Genomes) 8.75
18 Brazilian (Dodecad) 9.19
19 TSI30 (Metspalu) 11.81
20 Bulgarians (Yunusbayev) 11.96
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 94.1% Baleares (1000 Genomes) + 5.9% Puerto_Rican @ 0.79
2 92.1% Baleares (1000 Genomes) + 7.9% PUR30 @ 0.87
3 94.9% Extremadura (1000 Genomes) + 5.1% Georgians (Behar) @ 0.96
4 94.2% Extremadura (1000 Genomes) + 5.8% Armenians (Behar) @ 0.96
5 95.1% Extremadura (1000 Genomes) + 4.9% Abhkasians (Yunusbayev) @ 0.97
6 83.5% Extremadura (1000 Genomes) + 16.5% O_Italian (Dodecad) @ 1.01
7 94.9% Extremadura (1000 Genomes) + 5.1% Armenians (Yunusbayev) @ 1.03
8 94.8% Extremadura (1000 Genomes) + 5.2% Armenian (Dodecad) @ 1.03
9 93.9% Extremadura (1000 Genomes) + 6.1% Turks (Behar) @ 1.04
10 95% Extremadura (1000 Genomes) + 5% Kurds (Yunusbayev) @ 1.05
11 93.4% Extremadura (1000 Genomes) + 6.6% Turkish (Dodecad) @ 1.05
12 80.5% Extremadura (1000 Genomes) + 19.5% Tuscan (HGDP) @ 1.06
13 79.4% Extremadura (1000 Genomes) + 20.6% TSI30 (Metspalu) @ 1.07
14 95% Extremadura (1000 Genomes) + 5% Kurd (Dodecad) @ 1.08
15 96.4% Baleares (1000 Genomes) + 3.6% Dominican @ 1.08
16 88.3% Extremadura (1000 Genomes) + 11.7% Greek (Dodecad) @ 1.08
17 94.9% Extremadura (1000 Genomes) + 5.1% Uzbekistan_Jews @ 1.11
18 95.1% Extremadura (1000 Genomes) + 4.9% Azerbaijan_Jews @ 1.11
19 94.9% Andalucia (1000 Genomes) + 5.1% Lezgins (Behar) @ 1.12
20 95.1% Extremadura (1000 Genomes) + 4.9% Assyrian (Dodecad) @ 1.13
Admix Results (sorted):
# Population Percent
1 Atlantic_Baltic 72.60
2 Caucasus_Gedrosia 12.67
3 Southern 12.37
4 Amerindian 1.66
Finished reading population data. 250 populations found.
9 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 2.292288
2 Dutch_Dodecad @ 2.587688
3 German_Dodecad @ 2.866420
4 CEU30_1000Genomes @ 3.653410
5 Cornwall_1000 Genomes @ 4.108943
6 Kent_1000 Genomes @ 4.149155
7 British_Dodecad @ 4.367645
8 British_Isles_Dodecad @ 5.352607
9 Hungarians_Behar @ 5.471992
10 Argyll_1000 Genomes @ 5.600802
11 Irish_Dodecad @ 5.915546
12 Orcadian_HGDP @ 6.138262
13 Ukranians_Yunusbayev @ 6.454685
14 Orkney_1000 Genomes @ 6.689812
15 French_HGDP @ 7.313344
16 Polish_Dodecad @ 7.630984
17 French_Dodecad @ 8.402134
18 Belorussian_Behar @ 9.575696
19 Norwegian_Dodecad @ 10.570794
20 Russian_B_Behar @ 10.746161
Using 2 populations approximation:
1 50% Orcadian_HGDP +50% Hungarians_Behar @ 1.668645
Using 3 populations approximation:
1 50% Orcadian_HGDP +25% TSI30_Metspalu +25% Lithuanians @ 1.583244
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++
1 N_Italian_Dodecad + Orcadian_HGDP + Orcadian_HGDP + Belorussian_Behar @ 1.572310
2 Orcadian_HGDP + Hungarians_Behar + Hungarians_Behar + Cornwall_1000 Genomes @ 1.575280
3 Orcadian_HGDP + Hungarians_Behar + Hungarians_Behar + Kent_1000 Genomes @ 1.581789
4 N_Italian_Dodecad + Orcadian_HGDP + Belorussian_Behar + Argyll_1000 Genomes @ 1.581960
5 Orcadian_HGDP + Orcadian_HGDP + TSI30_Metspalu + Lithuanians @ 1.583244
6 German_Dodecad + German_Dodecad + Mixed_Germanic_Dodecad + Hungarians_Behar @ 1.586475
7 Irish_Dodecad + N_Italian_Dodecad + Orcadian_HGDP + Belorussian_Behar @ 1.590196
8 Orcadian_HGDP + TSI30_Metspalu + Lithuanians + Orkney_1000 Genomes @ 1.597190
9 German_Dodecad + German_Dodecad + N_Italian_Dodecad + Lithuanians @ 1.598929
10 Lithuanian_Dodecad + Orcadian_HGDP + Orcadian_HGDP + TSI30_Metspalu @ 1.600342
11 Norwegian_Dodecad + Orcadian_HGDP + Orcadian_HGDP + Bulgarians_Yunusbayev @ 1.606042
12 German_Dodecad + German_Dodecad + Lithuanian_Dodecad + N_Italian_Dodecad @ 1.606264
13 Norwegian_Dodecad + Bulgarian_Dodecad + Orcadian_HGDP + Orcadian_HGDP @ 1.620931
14 German_Dodecad + N_Italian_Dodecad + CEU30_1000Genomes + Lithuanians @ 1.624333
15 British_Isles_Dodecad + Orcadian_HGDP + Hungarians_Behar + Hungarians_Behar @ 1.628968
16 Irish_Dodecad + Irish_Dodecad + N_Italian_Dodecad + Belorussian_Behar @ 1.635026
17 Lithuanian_Dodecad + Orcadian_HGDP + TSI30_Metspalu + Orkney_1000 Genomes @ 1.638190
18 French_HGDP + Hungarians_Behar + Argyll_1000 Genomes + Argyll_1000 Genomes @ 1.638569
19 German_Dodecad + German_Dodecad + Dutch_Dodecad + Hungarians_Behar @ 1.639394
20 Norwegian_Dodecad + Lithuanian_Dodecad + Orcadian_HGDP + Tuscan_HGDP @ 1.639496
Admix Results (sorted):
# Population Percent
1 Atlantic_Baltic 47.94
2 Southern 29.29
3 Caucasus_Gedrosia 13.72
4 African 6.08
5 Amerindian 1.82
6 Australasian 1.16
Finished reading population data. 250 populations found.
9 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 TSI30_Metspalu @ 8.480305
2 Tuscan_HGDP @ 8.635646
3 O_Italian_Dodecad @ 9.724409
4 North_Italian_HGDP @ 10.987185
5 N_Italian_Dodecad @ 11.408796
6 C_Italian_Dodecad @ 11.736846
7 Canarias_1000 Genomes @ 11.833496
8 Brazilian_Dodecad @ 12.100825
9 Bulgarian_Dodecad @ 13.067541
10 Murcia_1000 Genomes @ 13.114804
11 Bulgarians_Yunusbayev @ 13.368790
12 Romanians_Behar @ 13.499601
13 Baleares_1000 Genomes @ 14.479446
14 Andalucia_1000 Genomes @ 15.095139
15 Extremadura_1000 Genomes @ 15.334736
16 Portuguese_Dodecad @ 15.648455
17 Galicia_1000 Genomes @ 16.501995
18 Greek_Dodecad @ 16.785070
19 Castilla_La_Mancha_1000 Genomes @ 17.358219
20 Castilla_Y_Leon_1000 Genomes @ 17.735846
Using 2 populations approximation:
1 50% C_Italian_Dodecad +50% Brazilian_Dodecad @ 3.688094
Using 3 populations approximation:
1 50% French_Basque +25% Mozabite +25% Lezgins_Behar @ 2.108801
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++
1 Mixed_Germanic_Dodecad + Brazilian_Dodecad + North_Italian_HGDP + Egyptans_Behar @ 1.166827
2 Mixed_Germanic_Dodecad + Brazilian_Dodecad + N_Italian_Dodecad + Egyptans_Behar @ 1.193106
3 German_Dodecad + Brazilian_Dodecad + North_Italian_HGDP + Egyptans_Behar @ 1.213504
4 Brazilian_Dodecad + North_Italian_HGDP + CEU30_1000Genomes + Egyptans_Behar @ 1.286122
5 Dutch_Dodecad + Brazilian_Dodecad + North_Italian_HGDP + Egyptans_Behar @ 1.289641
6 British_Dodecad + Brazilian_Dodecad + North_Italian_HGDP + Egyptans_Behar @ 1.328020
7 Brazilian_Dodecad + North_Italian_HGDP + Egyptans_Behar + Cornwall_1000 Genomes @ 1.335330
8 Brazilian_Dodecad + Egyptans_Behar + Hungarians_Behar + Baleares_1000 Genomes @ 1.341467
9 Brazilian_Dodecad + North_Italian_HGDP + Egyptans_Behar + Kent_1000 Genomes @ 1.349202
10 Brazilian_Dodecad + N_Italian_Dodecad + Egyptans_Behar + Cornwall_1000 Genomes @ 1.375553
11 German_Dodecad + Brazilian_Dodecad + N_Italian_Dodecad + Egyptans_Behar @ 1.404504
12 Brazilian_Dodecad + Egyptans_Behar + Hungarians_Behar + Extremadura_1000 Genomes @ 1.405814
13 Brazilian_Dodecad + N_Italian_Dodecad + Egyptans_Behar + Kent_1000 Genomes @ 1.410799
14 Brazilian_Dodecad + N_Italian_Dodecad + CEU30_1000Genomes + Egyptans_Behar @ 1.422494
15 Dutch_Dodecad + Brazilian_Dodecad + N_Italian_Dodecad + Egyptans_Behar @ 1.426951
16 British_Dodecad + Brazilian_Dodecad + N_Italian_Dodecad + Egyptans_Behar @ 1.427110
17 Brazilian_Dodecad + Egyptans_Behar + Hungarians_Behar + Andalucia_1000 Genomes @ 1.444939
18 Brazilian_Dodecad + Egyptans_Behar + Hungarians_Behar + Spaniards_Behar @ 1.497662
19 Brazilian_Dodecad + Egyptans_Behar + Hungarians_Behar + Galicia_1000 Genomes @ 1.549325
20 Norwegian_Dodecad + Brazilian_Dodecad + TSI30_Metspalu + Egyptans_Behar @ 1.562212
Done.