Post Your Dodecad World9 Results

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06-15-2020, 05:34 PM
Kerem_turc

Admix Results (sorted):

#PopulationPercent
Caucasus_Gedrosia49.392
Southern31.443
Atlantic_Baltic10.434
South_Asian6.565
Siberian1.166
African1.03

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

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

Least-squares method.

Using 1 population approximation:
1 Kurd_Dodecad @ 3.793697
2 Iranians_Behar @ 4.062876
3 Kurds_Yunusbayev @ 4.470870
4 Iranian_Dodecad @ 4.901175
5 Uzbekistan_Jews @ 7.543404
6 Armenians_Yunusbayev @ 8.473471
7 Armenian_Dodecad @ 8.897509
8 Armenians_Behar @ 10.032501
9 Azerbaijan_Jews @ 10.752390
10 Georgians_Behar @ 10.925526
11 Assyrian_Dodecad @ 11.712242
12 Abhkasians_Yunusbayev @ 12.074006
13 Turks_Behar @ 12.087025
14 Georgia_Jews_Behar @ 14.452431
15 Iranian_Jews_Behar @ 14.504404
16 Turkish_Dodecad @ 15.953217
17 Iraq_Jews_Behar @ 15.992499
18 Kumyks_Yunusbayev @ 16.746595
19 North_Ossetians_Yunusbayev @ 17.144997
20 Syrians_Behar @ 17.934958

Using 2 populations approximation:
1 50% Iranian_Dodecad +50% Uzbekistan_Jews @ 2.589366

Using 3 populations approximation:
1 50% Assyrian_Dodecad +25% Kalash +25% Cypriots_Behar @ 1.509733

Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++
1 Armenian_Dodecad + Brahui_HGDP + Samaritians_Behar + Chechens_Yunusbayev @ 0.902193
2 Brahui_HGDP + Samaritians_Behar + Armenians_Yunusbayev + Chechens_Yunusbayev @ 0.957405
3 Adygei_HGDP + Brahui_HGDP + Samaritians_Behar + Armenians_Yunusbayev @ 0.968431
4 Balochi_HGDP + Cypriots_Behar + Georgians_Behar + Iranian_Jews_Behar @ 0.974453
5 Kalash + Armenians_Behar + Georgians_Behar + Yemen_Jews_Behar @ 1.037488
6 Armenian_Dodecad + Balochi_HGDP + Samaritians_Behar + Chechens_Yunusbayev @ 1.061048
7 Balochi_HGDP + Samaritians_Behar + Armenians_Yunusbayev + Chechens_Yunusbayev @ 1.067468
8 Brahui_HGDP + Cypriots_Behar + Georgians_Behar + Iranian_Jews_Behar @ 1.098233
9 Armenian_Dodecad + Adygei_HGDP + Brahui_HGDP + Samaritians_Behar @ 1.099334
10 Adygei_HGDP + Balochi_HGDP + Samaritians_Behar + Armenians_Yunusbayev @ 1.113481
11 Brahui_HGDP + Samaritians_Behar + Uzbekistan_Jews + Chechens_Yunusbayev @ 1.114150
12 Turkish_Dodecad + Armenian_Dodecad + Assyrian_Dodecad + Brahui_HGDP @ 1.134226
13 Assyrian_Dodecad + Balochi_HGDP + Lezgins_Behar + Samaritians_Behar @ 1.141988
14 Brahui_HGDP + Azerbaijan_Jews + Samaritians_Behar + Chechens_Yunusbayev @ 1.151954
15 Assyrian_Dodecad + Balochi_HGDP + Samaritians_Behar + Chechens_Yunusbayev @ 1.161237
16 Balochi_HGDP + Azerbaijan_Jews + Samaritians_Behar + Chechens_Yunusbayev @ 1.171052
17 Adygei_HGDP + Brahui_HGDP + Druze_HGDP + Iraq_Jews_Behar @ 1.174749
18 Assyrian_Dodecad + Brahui_HGDP + Samaritians_Behar + Chechens_Yunusbayev @ 1.174954
19 Armenian_Dodecad + Balochi_HGDP + Armenians_Behar + Georgia_Jews_Behar @ 1.185729
20 Balochi_HGDP + Armenians_Behar + Georgians_Behar + Samaritians_Behar @ 1.198711
06-19-2020, 10:28 AM
TheMaestro

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 58.82
2 Southern 18.78
3 Caucasus_Gedrosia 18.74
4 Siberian 1.81
5 Amerindian 1.36

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

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

Least-squares method.

Using 1 population approximation:
1 Bulgarians_Yunusbayev @ 6.508024
2 Bulgarian_Dodecad @ 7.717432
3 Romanians_Behar @ 8.902560
4 N_Italian_Dodecad @ 9.532443
5 Hungarians_Behar @ 11.390197
6 North_Italian_HGDP @ 11.425457
7 Baleares_1000 Genomes @ 13.385691
8 French_HGDP @ 13.403868
9 French_Dodecad @ 14.370135
10 Extremadura_1000 Genomes @ 14.840634
11 Spaniards_Behar @ 15.063539
12 Cataluna_1000 Genomes @ 15.072571
13 Andalucia_1000 Genomes @ 15.240839
14 Galicia_1000 Genomes @ 15.479660
15 TSI30_Metspalu @ 15.657871
16 Brazilian_Dodecad @ 15.806941
17 Valencia_1000 Genomes @ 15.850965
18 Portuguese_Dodecad @ 15.961607
19 Castilla_La_Mancha_1000 Genomes @ 16.043055
20 Spanish_Dodecad @ 16.273985

Using 2 populations approximation:
1 50% Greek_Dodecad +50% Belorussian_Behar @ 1.754920

Using 3 populations approximation:
1 50% Greek_Dodecad +25% Swedish_Dodecad +25% Russian_B_Behar @ 1.203837
06-20-2020, 10:52 AM
TheMaestro

Quote:

Originally Posted by TheMaestro

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 58.82
2 Southern 18.78
3 Caucasus_Gedrosia 18.74
4 Siberian 1.81
5 Amerindian 1.36

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

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

Least-squares method.

Using 1 population approximation:
1 Bulgarians_Yunusbayev @ 6.508024
2 Bulgarian_Dodecad @ 7.717432
3 Romanians_Behar @ 8.902560
4 N_Italian_Dodecad @ 9.532443
5 Hungarians_Behar @ 11.390197
6 North_Italian_HGDP @ 11.425457
7 Baleares_1000 Genomes @ 13.385691
8 French_HGDP @ 13.403868
9 French_Dodecad @ 14.370135
10 Extremadura_1000 Genomes @ 14.840634
11 Spaniards_Behar @ 15.063539
12 Cataluna_1000 Genomes @ 15.072571
13 Andalucia_1000 Genomes @ 15.240839
14 Galicia_1000 Genomes @ 15.479660
15 TSI30_Metspalu @ 15.657871
16 Brazilian_Dodecad @ 15.806941
17 Valencia_1000 Genomes @ 15.850965
18 Portuguese_Dodecad @ 15.961607
19 Castilla_La_Mancha_1000 Genomes @ 16.043055
20 Spanish_Dodecad @ 16.273985

Using 2 populations approximation:
1 50% Greek_Dodecad +50% Belorussian_Behar @ 1.754920

Using 3 populations approximation:
1 50% Greek_Dodecad +25% Swedish_Dodecad +25% Russian_B_Behar @ 1.203837

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 58.18
2 Southern 20.10
3 Caucasus_Gedrosia 19.37
4 Siberian 1.20

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

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

Least-squares method.

Using 1 population approximation:
1 Bulgarians_Yunusbayev @ 4.946407
2 Bulgarian_Dodecad @ 6.215910
3 Romanians_Behar @ 7.795264
4 N_Italian_Dodecad @ 8.399075
5 North_Italian_HGDP @ 10.336426
6 Hungarians_Behar @ 12.708263
7 Baleares_1000 Genomes @ 12.938385
8 TSI30_Metspalu @ 14.135420
9 French_HGDP @ 14.292825
10 Extremadura_1000 Genomes @ 14.607108
11 Andalucia_1000 Genomes @ 14.883078
12 Tuscan_HGDP @ 14.902988
13 Spaniards_Behar @ 14.995751
14 French_Dodecad @ 15.171965
15 Cataluna_1000 Genomes @ 15.268453
16 Galicia_1000 Genomes @ 15.305419
17 Portuguese_Dodecad @ 15.731166
18 Brazilian_Dodecad @ 15.878017
19 Valencia_1000 Genomes @ 15.878306
20 Castilla_La_Mancha_1000 Genomes @ 15.911174

Using 2 populations approximation:
1 50% Polish_Dodecad +50% Greek_Dodecad @ 0.800547

Using 3 populations approximation:
1 50% Greek_Dodecad +25% Russian_B_Behar +25% Argyll_1000 Genomes @ 0.707081
06-20-2020, 12:10 PM
gixajo

Me.

Spoiler!

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 64.29
2 Southern 27.72
3 Caucasus_Gedrosia 6.51
4 South_Asian 0.74
5 African 0.39
6 Australasian 0.22
7 East_Asian 0.12

Single Population Sharing:

# Population (source) Distance
1 Valencia (1000 Genomes) 1.06
2 Spanish (Dodecad) 1.1
3 Spaniards (Behar) 1.37
4 Castilla_La_Mancha (1000 Genomes) 1.65
5 Castilla_Y_Leon (1000 Genomes) 1.92
6 Aragon (1000 Genomes) 2.4
7 Galicia (1000 Genomes) 2.46
8 Cataluna (1000 Genomes) 2.79
9 Cantabria (1000 Genomes) 3.01
10 Extremadura (1000 Genomes) 3.53
11 Portuguese (Dodecad) 3.62
12 Andalucia (1000 Genomes) 3.73
13 Baleares (1000 Genomes) 4.45
14 Murcia (1000 Genomes) 6.33
15 Canarias (1000 Genomes) 9.34
16 North_Italian (HGDP) 9.57
17 French (Dodecad) 9.66
18 N_Italian (Dodecad) 10.15
19 French (HGDP) 10.7
20 Pais_Vasco (1000 Genomes) 10.7

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 96.4% Aragon (1000 Genomes) + 3.6% Iranians (Behar) @ 0.23
2 96.4% Aragon (1000 Genomes) + 3.6% Kurd (Dodecad) @ 0.33
3 86.9% Cataluna (1000 Genomes) + 13.1% Sardinian @ 0.33
4 65.1% Aragon (1000 Genomes) + 34.9% Baleares (1000 Genomes) @ 0.33
5 96.4% Aragon (1000 Genomes) + 3.6% Kurds (Yunusbayev) @ 0.34
6 96.3% Aragon (1000 Genomes) + 3.7% Uzbekistan_Jews @ 0.34
7 96.4% Aragon (1000 Genomes) + 3.6% Armenians (Yunusbayev) @ 0.37
8 96.4% Aragon (1000 Genomes) + 3.6% Iranian (Dodecad) @ 0.38
9 96.3% Aragon (1000 Genomes) + 3.7% Armenian (Dodecad) @ 0.38
10 95.4% Aragon (1000 Genomes) + 4.6% Turkish (Dodecad) @ 0.39
11 90% Aragon (1000 Genomes) + 10% O_Italian (Dodecad) @ 0.39
12 95.9% Aragon (1000 Genomes) + 4.1% Armenians (Behar) @ 0.39
13 96.4% Aragon (1000 Genomes) + 3.6% Azerbaijan_Jews @ 0.4
14 96.4% Aragon (1000 Genomes) + 3.6% Assyrian (Dodecad) @ 0.43
15 95.7% Aragon (1000 Genomes) + 4.3% Turks (Behar) @ 0.43
16 96.6% Aragon (1000 Genomes) + 3.4% Iranian_Jews (Behar) @ 0.44
17 92.4% Aragon (1000 Genomes) + 7.6% Greek (Dodecad) @ 0.45
18 88% Aragon (1000 Genomes) + 12% TSI30 (Metspalu) @ 0.45
19 88.5% Aragon (1000 Genomes) + 11.5% Tuscan (HGDP) @ 0.46
20 80.2% Aragon (1000 Genomes) + 19.8% North_Italian (HGDP) @ 0.49

My father.

Spoiler!

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 60.94
2 Southern 29.79
3 Caucasus_Gedrosia 7.11
4 African 1.91
5 Australasian 0.25

Single Population Sharing:

# Population (source) Distance
1 Andalucia (1000 Genomes) 1.24
2 Portuguese (Dodecad) 1.72
3 Extremadura (1000 Genomes) 2.07
4 Galicia (1000 Genomes) 2.28
5 Murcia (1000 Genomes) 2.55
6 Castilla_Y_Leon (1000 Genomes) 2.63
7 Castilla_La_Mancha (1000 Genomes) 2.66
8 Baleares (1000 Genomes) 3.15
9 Spaniards (Behar) 3.63
10 Spanish (Dodecad) 4.54
11 Valencia (1000 Genomes) 4.56
12 Canarias (1000 Genomes) 5.42
13 Aragon (1000 Genomes) 6.04
14 Cataluna (1000 Genomes) 6.38
15 Cantabria (1000 Genomes) 6.54
16 North_Italian (HGDP) 7.64
17 N_Italian (Dodecad) 8.7
18 Brazilian (Dodecad) 10.8
19 French (Dodecad) 12.97
20 French (HGDP) 13.8

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 90.3% Cantabria (1000 Genomes) + 9.7% Bedouin (HGDP) @ 0.54
2 79.4% French_Basque + 20.6% Palestinian (HGDP) @ 0.61
3 89.1% Extremadura (1000 Genomes) + 10.9% Sardinian @ 0.7
4 79.6% Pais_Vasco (1000 Genomes) + 20.4% Palestinian (HGDP) @ 0.72
5 90.5% Aragon (1000 Genomes) + 9.5% Egyptans (Behar) @ 0.74
6 79.3% French_Basque + 20.7% Jordanians (Behar) @ 0.75
7 72.8% Murcia (1000 Genomes) + 27.2% Cantabria (1000 Genomes) @ 0.79
8 90.7% Cantabria (1000 Genomes) + 9.3% Saudis (Behar) @ 0.85
9 60.3% Spaniards (Behar) + 39.7% Canarias (1000 Genomes) @ 0.88
10 94.8% Andalucia (1000 Genomes) + 5.2% Sardinian @ 0.88
11 65.1% Murcia (1000 Genomes) + 34.9% Valencia (1000 Genomes) @ 0.89
12 65% Murcia (1000 Genomes) + 35% Spanish (Dodecad) @ 0.89
13 71.5% Murcia (1000 Genomes) + 28.5% Aragon (1000 Genomes) @ 0.92
14 50.9% Murcia (1000 Genomes) + 49.1% Castilla_Y_Leon (1000 Genomes) @ 0.94
15 87% Andalucia (1000 Genomes) + 13% Canarias (1000 Genomes) @ 0.95
16 89.9% Cantabria (1000 Genomes) + 10.1% Egyptans (Behar) @ 0.95
17 85.7% Murcia (1000 Genomes) + 14.3% Pais_Vasco (1000 Genomes) @ 0.97
18 85.9% Murcia (1000 Genomes) + 14.1% French_Basque @ 0.97
19 79.6% Pais_Vasco (1000 Genomes) + 20.4% Jordanians (Behar) @ 0.97
20 96.1% Castilla_Y_Leon (1000 Genomes) + 3.9% Bedouin (HGDP) @ 0.98

My mother.

Spoiler!

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 68.07
2 Southern 24.05
3 Caucasus_Gedrosia 5.44
4 South_Asian 1.52
5 African 0.65
6 Siberian 0.22
7 East_Asian 0.05

Single Population Sharing:

# Population (source) Distance
1 Cataluna (1000 Genomes) 3
2 Cantabria (1000 Genomes) 3.01
3 Aragon (1000 Genomes) 3.81
4 Spanish (Dodecad) 4.32
5 Valencia (1000 Genomes) 4.34
6 Spaniards (Behar) 5.45
7 French (Dodecad) 6.06
8 Castilla_La_Mancha (1000 Genomes) 6.29
9 Castilla_Y_Leon (1000 Genomes) 6.38
10 Galicia (1000 Genomes) 6.74
11 Pais_Vasco (1000 Genomes) 6.99
12 French_Basque 7.32
13 French (HGDP) 7.38
14 Extremadura (1000 Genomes) 7.6
15 Portuguese (Dodecad) 7.77
16 Andalucia (1000 Genomes) 8.39
17 Baleares (1000 Genomes) 8.75
18 Murcia (1000 Genomes) 11.03
19 Hungarians (Behar) 13.09
20 Mixed_Germanic (Dodecad) 13.1

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 91.5% French_Basque + 8.5% Makrani @ 0.64
2 91.8% Pais_Vasco (1000 Genomes) + 8.2% Makrani @ 0.76
3 91.6% French_Basque + 8.4% Brahui (HGDP) @ 0.94
4 92% Pais_Vasco (1000 Genomes) + 8% Brahui (HGDP) @ 1.04
5 73.9% French_Basque + 26.1% Romanians (Behar) @ 1.1
6 91.6% French_Basque + 8.4% Balochi (HGDP) @ 1.1
7 90.6% Pais_Vasco (1000 Genomes) + 9.4% Iranian (Dodecad) @ 1.11
8 74.8% Pais_Vasco (1000 Genomes) + 25.2% Romanians (Behar) @ 1.13
9 90.7% Pais_Vasco (1000 Genomes) + 9.3% Iranians (Behar) @ 1.14
10 88.1% Aragon (1000 Genomes) + 11.9% Lithuanian (Dodecad) @ 1.17
11 80.2% Aragon (1000 Genomes) + 19.8% CEU30 (1000Genomes) @ 1.19
12 85.4% Aragon (1000 Genomes) + 14.6% Swedish (Dodecad) @ 1.19
13 91.9% Pais_Vasco (1000 Genomes) + 8.1% Balochi (HGDP) @ 1.2
14 82.4% Aragon (1000 Genomes) + 17.6% Orkney (1000 Genomes) @ 1.21
15 80.8% Aragon (1000 Genomes) + 19.2% British_Isles (Dodecad) @ 1.21
16 80.2% Aragon (1000 Genomes) + 19.8% British (Dodecad) @ 1.22
17 82.3% Aragon (1000 Genomes) + 17.7% Orcadian (HGDP) @ 1.22
18 88.3% Aragon (1000 Genomes) + 11.7% Lithuanians @ 1.24
19 82.4% Aragon (1000 Genomes) + 17.6% Irish (Dodecad) @ 1.25
20 82.7% Aragon (1000 Genomes) + 17.3% Argyll (1000 Genomes) @ 1.25
07-14-2020, 06:37 AM
Scandal

World9 Oracle results:
Kit .

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 69.39
2 Caucasus_Gedrosia 14.53
3 Southern 14.16
4 Siberian 1.46
5 Australasian 0.47

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 1.27
2 Mixed_Germanic (Dodecad) 4.84
3 French (HGDP) 5.47
4 Dutch (Dodecad) 5.5
5 German (Dodecad) 6.06
6 CEU30 (1000Genomes) 6.81
7 French (Dodecad) 6.93
8 Cornwall (1000 Genomes) 7.15
9 Kent (1000 Genomes) 7.19
10 British (Dodecad) 7.34
11 Ukranians (Yunusbayev) 7.56
12 British_Isles (Dodecad) 8.34
13 Argyll (1000 Genomes) 8.64
14 Irish (Dodecad) 9
15 Orcadian (HGDP) 9.29
16 Orkney (1000 Genomes) 9.68
17 Polish (Dodecad) 10.11
18 Belorussian (Behar) 11.82
19 Russian_B (Behar) 12.35
20 Russian (Dodecad) 12.54

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 80.9% Norwegian (Dodecad) + 19.1% Cypriots (Behar) @ 0.45
2 56.1% Norwegian (Dodecad) + 43.9% Bulgarians (Yunusbayev) @ 0.56
3 72.4% Norwegian (Dodecad) + 27.6% Greek (Dodecad) @ 0.61
4 58.5% Belorussian (Behar) + 41.5% N_Italian (Dodecad) @ 0.7
5 57.8% Norwegian (Dodecad) + 42.2% Bulgarian (Dodecad) @ 0.7
6 56.8% Lithuanians + 43.2% TSI30 (Metspalu) @ 0.75
7 70.7% Polish (Dodecad) + 29.3% TSI30 (Metspalu) @ 0.81
8 83.2% Hungarians (Behar) + 16.8% Mixed_Germanic (Dodecad) @ 0.83
9 71.9% Swedish (Dodecad) + 28.1% Greek (Dodecad) @ 0.83
10 57.6% Lithuanians + 42.4% Tuscan (HGDP) @ 0.85
11 88.4% Hungarians (Behar) + 11.6% Kent (1000 Genomes) @ 0.86
12 71.4% Polish (Dodecad) + 28.6% Tuscan (HGDP) @ 0.87
13 88.4% Hungarians (Behar) + 11.6% Cornwall (1000 Genomes) @ 0.87
14 88.8% Hungarians (Behar) + 11.2% British (Dodecad) @ 0.88
15 83.3% Norwegian (Dodecad) + 16.7% Druze (HGDP) @ 0.9
16 90.2% Hungarians (Behar) + 9.8% British_Isles (Dodecad) @ 0.9
17 86% Hungarians (Behar) + 14% Dutch (Dodecad) @ 0.92
18 56.9% Lithuanian (Dodecad) + 43.1% TSI30 (Metspalu) @ 0.92
19 87.3% Hungarians (Behar) + 12.7% German (Dodecad) @ 0.92
20 74.5% Swedish (Dodecad) + 25.5% S_Italian_Sicilian (Dodecad) @ 0.93

Using 3 populations approximation:
1 50% Norwegian_Dodecad +25% S_Italian_Sicilian_Dodecad +25% Belorussian_Behar @ 0.728410

Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++
1 Norwegian_Dodecad + Mixed_Germanic_Dodecad + Hungarians_Behar + Bulgarians_Yunusbayev @ 0.324900
2 Norwegian_Dodecad + N_Italian_Dodecad + Lithuanians + Bulgarians_Yunusbayev @ 0.390551
3 C_Italian_Dodecad + Norwegian_Dodecad + Hungarians_Behar + Lithuanians @ 0.397487
4 Norwegian_Dodecad + Dutch_Dodecad + Hungarians_Behar + Bulgarians_Yunusbayev @ 0.479285
5 Swedish_Dodecad + N_Italian_Dodecad + Lithuanians + Bulgarians_Yunusbayev @ 0.490767
6 Norwegian_Dodecad + Bulgarian_Dodecad + French_HGDP + Ukranians_Yunusbayev @ 0.506629
7 N_Italian_Dodecad + Hungarians_Behar + Hungarians_Behar + Lithuanians @ 0.512277
8 C_Italian_Dodecad + Norwegian_Dodecad + Lithuanian_Dodecad + Hungarians_Behar @ 0.531012
9 Norwegian_Dodecad + Bulgarian_Dodecad + Hungarians_Behar + Kent_1000 Genomes @ 0.531325
10 Polish_Dodecad + Greek_Dodecad + Norwegian_Dodecad + Norwegian_Dodecad @ 0.540977
11 German_Dodecad + Norwegian_Dodecad + Hungarians_Behar + Bulgarians_Yunusbayev @ 0.541338
12 French_Dodecad + Hungarians_Behar + Lithuanians + Bulgarians_Yunusbayev @ 0.554541
13 French_HGDP + Hungarians_Behar + Lithuanians + Bulgarians_Yunusbayev @ 0.572780
14 Norwegian_Dodecad + Dutch_Dodecad + Bulgarian_Dodecad + Hungarians_Behar @ 0.574420
15 German_Dodecad + Norwegian_Dodecad + Bulgarian_Dodecad + Hungarians_Behar @ 0.590170
16 Norwegian_Dodecad + TSI30_Metspalu + Belorussian_Behar + Hungarians_Behar @ 0.606974
17 Greek_Dodecad + Norwegian_Dodecad + Norwegian_Dodecad + Argyll_1000 Genomes @ 0.612377
18 Swedish_Dodecad + TSI30_Metspalu + Belorussian_Behar + Hungarians_Behar @ 0.629090
19 Norwegian_Dodecad + French_HGDP + Bulgarians_Yunusbayev + Ukranians_Yunusbayev @ 0.632427
20 Swedish_Dodecad + Lithuanian_Dodecad + N_Italian_Dodecad + Bulgarians_Yunusbayev @ 0.648338
08-03-2020, 11:00 PM
Chris596

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 58.97
2 Caucasus_Gedrosia 20.08
3 Southern 17.54
4 East_Asian 1.71
5 Siberian 1.09
6 African 0.61

Single Population Sharing:

# Population (source) Distance
1 Bulgarians (Yunusbayev) 6.94
2 Bulgarian (Dodecad) 7.9
3 Romanians (Behar) 8.6
4 Hungarians (Behar) 9.81
5 N_Italian (Dodecad) 10.46
6 French (HGDP) 12.16
7 North_Italian (HGDP) 12.25
8 French (Dodecad) 13.17
9 Baleares (1000 Genomes) 13.74
10 Cataluna (1000 Genomes) 14.66
11 Extremadura (1000 Genomes) 14.94
12 Spaniards (Behar) 14.95
13 Mixed_Germanic (Dodecad) 15.29
14 Andalucia (1000 Genomes) 15.42
15 Galicia (1000 Genomes) 15.45
16 Valencia (1000 Genomes) 15.55
17 TSI30 (Metspalu) 15.89
18 Spanish (Dodecad) 15.93
19 Portuguese (Dodecad) 15.93
20 Castilla_La_Mancha (1000 Genomes) 15.95

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 69.6% British (Dodecad) + 30.4% Turkish (Dodecad) @ 1.33
2 70.3% CEU30 (1000Genomes) + 29.7% Turkish (Dodecad) @ 1.35
3 71.2% German (Dodecad) + 28.8% Turkish (Dodecad) @ 1.36
4 74.3% Mixed_Germanic (Dodecad) + 25.7% Turks (Behar) @ 1.36
5 69.8% Kent (1000 Genomes) + 30.2% Turkish (Dodecad) @ 1.37
6 68.4% British_Isles (Dodecad) + 31.6% Turkish (Dodecad) @ 1.4
7 71.9% Dutch (Dodecad) + 28.1% Turkish (Dodecad) @ 1.42
8 71.5% Cornwall (1000 Genomes) + 28.5% Turks (Behar) @ 1.44
9 72.8% Mixed_Germanic (Dodecad) + 27.2% Turkish (Dodecad) @ 1.44
10 71.4% Kent (1000 Genomes) + 28.6% Turks (Behar) @ 1.45
11 69.9% Cornwall (1000 Genomes) + 30.1% Turkish (Dodecad) @ 1.47
12 80.8% Hungarians (Behar) + 19.2% Turkish (Dodecad) @ 1.48
13 67% Orkney (1000 Genomes) + 33% Turkish (Dodecad) @ 1.48
14 71.2% British (Dodecad) + 28.8% Turks (Behar) @ 1.51
15 70.3% Norwegian (Dodecad) + 29.7% Georgia_Jews (Behar) @ 1.51
16 67.5% Orcadian (HGDP) + 32.5% Turkish (Dodecad) @ 1.52
17 67.8% Bulgarian (Dodecad) + 32.2% Ukranians (Yunusbayev) @ 1.58
18 67.8% Irish (Dodecad) + 32.2% Turkish (Dodecad) @ 1.6
19 73.2% Polish (Dodecad) + 26.8% Druze (HGDP) @ 1.62
20 74.6% Belorussian (Behar) + 25.4% Samaritians (Behar) @ 1.62

Using 2 populations approximation:
1 50% Ashkenazy_Jews +50% Lithuanians @ 2.373176

Using 3 populations approximation:
1 50% CEU30_1000Genomes +25% Spaniards_Behar +25% Balkars_Yunusbayev @ 1.054722

Using 4 populations approximation:
1 Orcadian_HGDP + Kent_1000 Genomes + Andalucia_1000 Genomes + Balkars_Yunusbayev @ 1.054625
08-05-2020, 01:59 AM
Rædwald

Population nMonte

https://i.postimg.cc/cJ8kGBPy/doedcadworld9nmonte.png

Code:

nMonte Calculator by www.dnagenics.com v1.1 04/02/2020 Finished reading population data. 250 populations found. 9 components mode. Distance: 2.47 37.00% CEU30 28.80% French_D 24.20% Mixed_Germanic_D 04.40% Aleut 04.40% AthabaskHD4 00.80% Malayan_Ch 00.40% Cornwall_1KG

Doedcad World 9 Oracle

https://i.postimg.cc/HLVDcMKB/doedcadw9.png

Mixed Mode:

Code:

1 95.70% Mixed_Germanic_D + 4.30% Athabask @ 2.278 2 94.92% Mixed_Germanic_D + 5.08% EastGreenland @ 2.367 3 94.14% Mixed_Germanic_D + 5.86% WestGreenland @ 2.386 4 90.23% Mixed_Germanic_D + 9.77% CLM30 @ 2.444 5 93.36% Mixed_Germanic_D + 6.64% MEX30 @ 2.481 6 92.58% Mixed_Germanic_D + 7.42% Colombian @ 2.494 7 72.27% Argyll_1KG + 27.73% Brazilian_D @ 2.505 8 94.14% Mixed_Germanic_D + 5.86% Ecuadorian @ 2.533 9 89.45% Mixed_Germanic_D + 10.55% AthabaskHD4 @ 2.551 10 87.89% CEU30 + 12.11% CLM30 @ 2.610

Least-squares method.

Using 1 populations approximation

Code:

1 100% Mixed_Germanic_D @ 4.792 2 100% Dutch_D @ 5.509 3 100% German_D @ 5.901 4 100% CEU30 @ 5.909 5 100% Hungarians @ 6.068 6 100% Cornwall_1KG @ 6.132 7 100% French @ 6.188 8 100% Kent_1KG @ 6.300 9 100% British_D @ 6.375 10 100% French_D @ 6.965

Using 2 populations approximation

Code:

1 50% Russian_B + 50% Cataluna_1KG @ 2.727 2 50% Russian_D + 50% Cataluna_1KG @ 2.869 3 50% Russian_B + 50% Valencia_1KG @ 3.182 4 50% Russian_B + 50% Spanish_D @ 3.192 5 50% Russian_B + 50% Cantabria_1KG @ 3.255 6 50% Russian_D + 50% Cantabria_1KG @ 3.279 7 50% Russian_D + 50% Valencia_1KG @ 3.328 8 50% Russian_D + 50% Spanish_D @ 3.344 9 50% Russian_B + 50% Aragon_1KG @ 3.406 10 50% Russian_B + 50% Spaniards @ 3.442

Using 3 populations approximation

Code:

1 33% Orkney_1KG + 33% Polish_D + 33% Brazilian_D @ 2.627 2 33% Polish_D + 33% Norwegian_D + 33% Brazilian_D @ 2.705 3 33% Polish_D + 33% Polish_D + 33% Brazilian_D @ 2.825 4 33% Swedish_D + 33% Russian_D + 33% Murcia_1KG @ 2.825 5 33% Russian_B + 33% Swedish_D + 33% Murcia_1KG @ 2.826 6 33% French_D + 33% French_D + 33% Russian @ 2.849 7 33% French_D + 33% French_D + 33% Russian_D @ 2.916 8 33% Belorussian + 33% Norwegian_D + 33% Brazilian_D @ 2.955 9 33% Argyll_1KG + 33% Argyll_1KG + 33% Brazilian_D @ 2.957 10 33% Russian_B + 33% Swedish_D + 33% Canarias_1KG @ 2.977

Using 4 populations approximation

Code:

1 25% Orkney_1KG + 25% Orkney_1KG + 25% Ukranians_Y + 25% Brazilian_D @ 2.430 2 25% Orcadian + 25% Orcadian + 25% Ukranians_Y + 25% Brazilian_D @ 2.504 3 25% Argyll_1KG + 25% Argyll_1KG + 25% Argyll_1KG + 25% Brazilian_D @ 2.622 4 25% Argyll_1KG + 25% Argyll_1KG + 25% Irish_D + 25% Brazilian_D @ 2.648 5 25% Lithuanian_D + 25% Lithuanian_D + 25% Andalucia_1KG + 25% Brazilian_D @ 2.657 6 25% Argyll_1KG + 25% Argyll_1KG + 25% Orcadian + 25% Brazilian_D @ 2.664 7 25% British_Isles_D + 25% British_Isles_D + 25% Argyll_1KG + 25% Brazilian_D @ 2.665 8 25% Cataluna_1KG + 25% Cataluna_1KG + 25% Mordovians_Y + 25% Lithuanian_D @ 2.743 9 25% Irish_D + 25% Irish_D + 25% Irish_D + 25% Brazilian_D @ 2.781 10 25% British_Isles_D + 25% British_Isles_D + 25% Irish_D + 25% Brazilian_D @ 2.803

I have no idea why I get Brazilian here?
05-03-2021, 07:49 PM
Hawkguy

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 45.14
2 Southern 22.29
3 African 16.51
4 Amerindian 8.37
5 Caucasus_Gedrosia 6.34
6 East_Asian 0.99
7 Siberian 0.21
8 Australasian 0.15

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

Least-squares method.

Using 1 population approximation:
1 PUR30 @ 5.535602
2 Puerto_Rican @ 11.980068
3 Brazilian_Dodecad @ 15.003835
4 CLM30 @ 20.348623
5 Canarias_1000 Genomes @ 21.022991
6 Murcia_1000 Genomes @ 22.887066
7 Portuguese_Dodecad @ 23.760139
8 Extremadura_1000 Genomes @ 23.782707
9 North_Italian_HGDP @ 24.107494
10 N_Italian_Dodecad @ 24.203098
11 Andalucia_1000 Genomes @ 24.362411
12 TSI30_Metspalu @ 24.378046
13 Tuscan_HGDP @ 24.505917
14 Baleares_1000 Genomes @ 24.569712
15 Galicia_1000 Genomes @ 24.706381
16 Romanians_Behar @ 24.743620
17 O_Italian_Dodecad @ 24.865871
18 Bulgarian_Dodecad @ 25.247267
19 Bulgarians_Yunusbayev @ 25.311832
20 Castilla_La_Mancha_1000 Genomes @ 25.512314

Using 2 populations approximation:
1 50% Brazilian_Dodecad +50% Puerto_Rican @ 3.535990

Using 3 populations approximation:
1 50% Brazilian_Dodecad +25% Dominican +25% PUR30 @ 1.560489

Using 4 populations approximation:
1 Brazilian_Dodecad + Brazilian_Dodecad + Dominican + PUR30 @ 1.560489
2 Dominican + PUR30 + PUR30 + Baleares_1000 Genomes @ 1.683092
3 Spaniards_Behar + Dominican + PUR30 + PUR30 @ 1.721633
4 Brazilian_Dodecad + Somali_Dodecad + Lithuanians + CLM30 @ 1.741145
5 Brazilian_Dodecad + Dominican + Puerto_Rican + Baleares_1000 Genomes @ 1.776220
6 Somali_Dodecad + Lithuanians + Colombian + Extremadura_1000 Genomes @ 1.779786
7 Dominican + PUR30 + PUR30 + Valencia_1000 Genomes @ 1.806276
8 Portuguese_Dodecad + Somali_Dodecad + Lithuanians + Colombian @ 1.846155
9 Somali_Dodecad + Lithuanians + Colombian + Andalucia_1000 Genomes @ 1.870806
10 Somali_Dodecad + Lithuanians + Colombian + Baleares_1000 Genomes @ 1.877964
11 Dominican + PUR30 + PUR30 + Cataluna_1000 Genomes @ 1.879377
12 Dominican + PUR30 + PUR30 + Castilla_La_Mancha_1000 Genomes @ 1.880733
13 Spanish_Dodecad + Dominican + PUR30 + PUR30 @ 1.881927
14 Dominican + PUR30 + PUR30 + Andalucia_1000 Genomes @ 1.883903
15 Brazilian_Dodecad + North_Italian_HGDP + Dominican + Puerto_Rican @ 1.897927
16 Somali_Dodecad + Lithuanians + Spaniards_Behar + Colombian @ 1.901094
17 Brazilian_Dodecad + Somali_Dodecad + Lithuanian_Dodecad + CLM30 @ 1.910395
18 Somali_Dodecad + French_HGDP + Orcadian_HGDP + Colombian @ 1.912547
19 Somali_Dodecad + Lithuanians + Colombian + Galicia_1000 Genomes @ 1.930629
20 Irish_Dodecad + Somali_Dodecad + French_HGDP + Colombian @ 1.938016
05-04-2021, 11:05 AM
Petalpusher

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 72.42
2 Southern 17.03
3 Caucasus_Gedrosia 10.37
4 Siberian 0.18

Single Population Sharing:

# Population (source) Distance
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
11-15-2021, 12:57 AM
Rafael Passoni

My mum:
Kit number: JP6645888, Elapsed time: 4.39 seconds.

Population
Amerindian 0.83 Pct
East_Asian -
African -
Atlantic_Baltic 54.71 Pct
Australasian -
Siberian -
Caucasus_Gedrosia 15.19 Pct
Southern 29.27 Pct
South_Asian

Why Amerindian?

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 54.71
2 Southern 29.27
3 Caucasus_Gedrosia 15.19

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

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

Least-squares method.

Using 1 population approximation:
1 North_Italian_HGDP @ 2.559063
2 N_Italian_Dodecad @ 3.232155
3 TSI30_Metspalu @ 6.435900
4 Tuscan_HGDP @ 7.437249
5 Baleares_1000 Genomes @ 8.151255
6 Bulgarians_Yunusbayev @ 8.837658
7 Murcia_1000 Genomes @ 9.008296
8 Bulgarian_Dodecad @ 9.190565
9 Andalucia_1000 Genomes @ 9.700604
10 Canarias_1000 Genomes @ 10.343797
11 Extremadura_1000 Genomes @ 10.349793
12 O_Italian_Dodecad @ 10.883681
13 Romanians_Behar @ 10.900113
14 Portuguese_Dodecad @ 11.081557
15 Galicia_1000 Genomes @ 11.282864
16 Castilla_La_Mancha_1000 Genomes @ 11.950877
17 Spaniards_Behar @ 12.024485
18 Castilla_Y_Leon_1000 Genomes @ 12.594412
19 Brazilian_Dodecad @ 12.632673
20 Valencia_1000 Genomes @ 13.371161

Using 2 populations approximation:
1 50% C_Italian_Dodecad +50% Cataluna_1000 Genomes @ 1.219301

Using 3 populations approximation:
1 50% North_Italian_HGDP +25% North_Italian_HGDP +25% Tuscan_HGDP @ 0.709898
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++
1 N_Italian_Dodecad + Tuscan_HGDP + Tuscan_HGDP + Valencia_1000 Genomes @ 0.684848
2 N_Italian_Dodecad + Tuscan_HGDP + Tuscan_HGDP + Spaniards_Behar @ 0.684873
3 Armenian_Dodecad + French_Basque + Orcadian_HGDP + Sardinian @ 0.708583
4 N_Italian_Dodecad + Tuscan_HGDP + TSI30_Metspalu + Spaniards_Behar @ 0.709873
5 North_Italian_HGDP + North_Italian_HGDP + North_Italian_HGDP + Tuscan_HGDP @ 0.709898
6 O_Italian_Dodecad + N_Italian_Dodecad + Tuscan_HGDP + Aragon_1000 Genomes @ 0.729052
7 Greek_Dodecad + N_Italian_Dodecad + French_Basque + Tuscan_HGDP @ 0.734823
8 Greek_Dodecad + N_Italian_Dodecad + Tuscan_HGDP + Pais_Vasco_1000 Genomes @ 0.734848
9 Greek_Dodecad + Spanish_Dodecad + N_Italian_Dodecad + North_Italian_HGDP @ 0.734873
10 Greek_Dodecad + North_Italian_HGDP + North_Italian_HGDP + Cataluna_1000 Genomes @ 0.734873
11 German_Dodecad + Bulgarian_Dodecad + S_Italian_Dodecad + Sardinian @ 0.737366
12 Spanish_Dodecad + N_Italian_Dodecad + Tuscan_HGDP + Tuscan_HGDP @ 0.743735
13 O_Italian_Dodecad + North_Italian_HGDP + TSI30_Metspalu + Cataluna_1000 Genomes @ 0.747674
14 O_Italian_Dodecad + N_Italian_Dodecad + Tuscan_HGDP + Cantabria_1000 Genomes @ 0.750355
15 Armenian_Dodecad + French_Basque + Sardinian + Orkney_1000 Genomes @ 0.750379
16 Greek_Dodecad + French_Dodecad + S_Italian_Sicilian_Dodecad + French_Basque @ 0.754785
17 Greek_Dodecad + N_Italian_Dodecad + North_Italian_HGDP + Aragon_1000 Genomes @ 0.759873
18 O_Italian_Dodecad + N_Italian_Dodecad + TSI30_Metspalu + Cantabria_1000 Genomes @ 0.771621
19 C_Italian_Dodecad + N_Italian_Dodecad + N_Italian_Dodecad + Baleares_1000 Genomes @ 0.776266
20 Greek_Dodecad + French_Dodecad + S_Italian_Sicilian_Dodecad + Pais_Vasco_1000 Genomes @ 0.780089

Me:

Population
Amerindian -
East_Asian -
African -
Atlantic_Baltic 52.87 Pct
Australasian 0.37 Pct
Siberian -
Caucasus_Gedrosia 16.36 Pct
Southern 30.4 Pct
South_Asian -

Australasian?

Kit Num: ZJ8460304
Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 52.87
2 Southern 30.40
3 Caucasus_Gedrosia 16.36

Using 1 population approximation:
1 TSI30_Metspalu @ 3.990377
2 North_Italian_HGDP @ 4.870228
3 Tuscan_HGDP @ 5.001356
4 N_Italian_Dodecad @ 5.407882
5 O_Italian_Dodecad @ 8.517333
6 Bulgarians_Yunusbayev @ 9.151035
7 Bulgarian_Dodecad @ 9.158530
8 Baleares_1000 Genomes @ 10.431299
9 Murcia_1000 Genomes @ 10.755944
10 Romanians_Behar @ 10.802445
11 C_Italian_Dodecad @ 11.163009
12 Canarias_1000 Genomes @ 11.517289
13 Andalucia_1000 Genomes @ 11.837893
14 Extremadura_1000 Genomes @ 12.559201
15 Portuguese_Dodecad @ 13.198234
16 Galicia_1000 Genomes @ 13.512262
17 Castilla_La_Mancha_1000 Genomes @ 14.172790
18 Spaniards_Behar @ 14.338610
19 Brazilian_Dodecad @ 14.421785
20 Castilla_Y_Leon_1000 Genomes @ 14.767739

Using 2 populations approximation:
1 50% North_Italian_HGDP +50% Tuscan_HGDP @ 0.272606

Using 3 populations approximation:
1 50% North_Italian_HGDP +25% Tuscan_HGDP +25% Tuscan_HGDP @ 0.272606

Dad:

Population
Amerindian 0.47 Pct
East_Asian -
African 0.15 Pct
Atlantic_Baltic 54.1 Pct
Australasian -
Siberian 0.11 Pct
Caucasus_Gedrosia 14.92 Pct
Southern 29.99 Pct
South_Asian 0.25 Pct

Gypsy?
Kit Num: PD6458213

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 54.10
2 Southern 29.99
3 Caucasus_Gedrosia 14.92

Using 1 population approximation:
1 North_Italian_HGDP @ 3.133457
2 N_Italian_Dodecad @ 4.116122
3 TSI30_Metspalu @ 5.900613
4 Tuscan_HGDP @ 6.890027
5 Baleares_1000 Genomes @ 8.505547
6 Murcia_1000 Genomes @ 8.901434
7 Bulgarians_Yunusbayev @ 9.517367
8 Bulgarian_Dodecad @ 9.784424
9 Andalucia_1000 Genomes @ 9.904381
10 Canarias_1000 Genomes @ 9.955380
11 O_Italian_Dodecad @ 10.386910
12 Extremadura_1000 Genomes @ 10.619250
13 Portuguese_Dodecad @ 11.265473
14 Romanians_Behar @ 11.326394
15 Galicia_1000 Genomes @ 11.557320
16 Castilla_La_Mancha_1000 Genomes @ 12.226509
17 Spaniards_Behar @ 12.422077
18 Castilla_Y_Leon_1000 Genomes @ 12.823844
19 Brazilian_Dodecad @ 12.862811
20 C_Italian_Dodecad @ 13.003818

Using 2 populations approximation:
1 50% Tuscan_HGDP +50% Baleares_1000 Genomes @ 0.866709

Using 3 populations approximation:
1 50% Irish_Dodecad +25% Sardinian +25% Samaritians_Behar @ 0.000000

Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++
1 Irish_Dodecad + Irish_Dodecad + Sardinian + Samaritians_Behar @ 0.000000
2 Irish_Dodecad + Orcadian_HGDP + Sardinian + Samaritians_Behar @ 0.000000
3 Irish_Dodecad + Sardinian + Samaritians_Behar + Orkney_1000 Genomes @ 0.000000
4 Assyrian_Dodecad + French_Basque + Orcadian_HGDP + Sardinian @ 0.000000
5 Orcadian_HGDP + Orcadian_HGDP + Sardinian + Samaritians_Behar @ 0.000000
6 Sardinian + Samaritians_Behar + Orkney_1000 Genomes + Argyll_1000 Genomes @ 0.000000
6 Sardinian + Samaritians_Behar + Orkney_1000 Genomes + Argyll_1000 Genomes @ 0.000000
7 Samaritians_Behar + Orkney_1000 Genomes + Aragon_1000 Genomes + Cataluna_1000 Genomes @ 0.000000
8 Polish_Dodecad + French_Basque + Sardinian + Georgia_Jews_Behar @ 0.272276
9 French_Basque + Azerbaijan_Jews + Aragon_1000 Genomes + Cantabria_1000 Genomes @ 0.273057
10 Assyrian_Dodecad + French_Basque + Sardinian + Orkney_1000 Genomes @ 0.297001
11 Assyrian_Dodecad + Sardinian + Orkney_1000 Genomes + Pais_Vasco_1000 Genomes @ 0.297026
12 C_Italian_Dodecad + North_Italian_HGDP + Tuscan_HGDP + Cantabria_1000 Genomes @ 0.297302
13 North_Italian_HGDP + Tuscan_HGDP + Tuscan_HGDP + Galicia_1000 Genomes @ 0.297302
14 Orcadian_HGDP + Sardinian + Samaritians_Behar + Orkney_1000 Genomes @ 0.301952
15 French_Basque + Georgia_Jews_Behar + Cataluna_1000 Genomes + Cataluna_1000 Genomes @ 0.320520
16 French_Dodecad + Cypriots_Behar + Aragon_1000 Genomes + Baleares_1000 Genomes @ 0.322252
17 Greek_Dodecad + Tuscan_HGDP + Baleares_1000 Genomes + Cantabria_1000 Genomes @ 0.322252
18 Assyrian_Dodecad + French_Basque + Aragon_1000 Genomes + Cantabria_1000 Genomes @ 0.322252
19 Greek_Dodecad + C_Italian_Dodecad + Cataluna_1000 Genomes + Cantabria_1000 Genomes @ 0.322277
20 Assyrian_Dodecad + Aragon_1000 Genomes + Pais_Vasco_1000 Genomes + Cantabria_1000 Genomes @ 0.322277

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