3


| Thumbs Up/Down |
| Received: 1,295/3 Given: 73/10 |
23andMe
# 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
Least-squares method.
Using 1 population approximation:
1 CEU30_1000Genomes @ 1.606387
2 German_Dodecad @ 1.612070
3 Dutch_Dodecad @ 1.705691
4 Mixed_Germanic_Dodecad @ 1.869034
5 Cornwall_1000 Genomes @ 2.171200
6 Kent_1000 Genomes @ 2.269691
7 British_Dodecad @ 2.308872
8 British_Isles_Dodecad @ 3.278341
9 Argyll_1000 Genomes @ 4.082681
10 Irish_Dodecad @ 4.157382
11 Orcadian_HGDP @ 4.294193
12 Orkney_1000 Genomes @ 4.744321
13 Polish_Dodecad @ 6.513541
14 Ukranians_Yunusbayev @ 6.612644
15 Hungarians_Behar @ 7.265172
16 French_HGDP @ 8.155030
17 Belorussian_Behar @ 8.503781
18 Norwegian_Dodecad @ 8.737589
19 French_Dodecad @ 8.989330
20 Swedish_Dodecad @ 9.116349
Using 2 populations approximation:
1 50% Mixed_Germanic_Dodecad +50% CEU30_1000Genomes @ 1.202543
Using 3 populations approximation:
1 50% Polish_Dodecad +25% Argyll_1000 Genomes +25% Cataluna_1000 Genomes @ 1.050805
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++
1 Polish_Dodecad + Lithuanian_Dodecad + Argyll_1000 Genomes + Murcia_1000 Genomes @ 0.907595
2 Belorussian_Behar + Argyll_1000 Genomes + Argyll_1000 Genomes + Cataluna_1000 Genomes @ 1.002534
3 Lithuanian_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes + Baleares_1000 Genomes @ 1.011164
4 French_Dodecad + Orcadian_HGDP + Cornwall_1000 Genomes + Ukranians_Yunusbayev @ 1.015279
5 German_Dodecad + Lithuanian_Dodecad + Argyll_1000 Genomes + Baleares_1000 Genomes @ 1.021202
6 German_Dodecad + Lithuanian_Dodecad + Belorussian_Behar + Murcia_1000 Genomes @ 1.022274
7 Polish_Dodecad + Lithuanians + Argyll_1000 Genomes + Murcia_1000 Genomes @ 1.023288
8 Lithuanian_Dodecad + CEU30_1000Genomes + Argyll_1000 Genomes + Baleares_1000 Genomes @ 1.026314
9 French_Dodecad + CEU30_1000Genomes + CEU30_1000Genomes + Belorussian_Behar @ 1.026743
10 French_Dodecad + Orcadian_HGDP + CEU30_1000Genomes + Ukranians_Yunusbayev @ 1.030571
11 British_Dodecad + French_Dodecad + Orcadian_HGDP + Ukranians_Yunusbayev @ 1.030693
12 Polish_Dodecad + German_Dodecad + Lithuanian_Dodecad + Extremadura_1000 Genomes @ 1.033013
13 Polish_Dodecad + Orcadian_HGDP + Belorussian_Behar + Spaniards_Behar @ 1.034442
14 Portuguese_Dodecad + Lithuanian_Dodecad + Orcadian_HGDP + Ukranians_Yunusbayev @ 1.036026
15 Orcadian_HGDP + Russian_B_Behar + Argyll_1000 Genomes + Cataluna_1000 Genomes @ 1.043725
16 Polish_Dodecad + Lithuanian_Dodecad + CEU30_1000Genomes + Baleares_1000 Genomes @ 1.044525
17 Polish_Dodecad + French_Dodecad + CEU30_1000Genomes + CEU30_1000Genomes @ 1.046318
18 German_Dodecad + French_Dodecad + CEU30_1000Genomes + Belorussian_Behar @ 1.046510
19 Polish_Dodecad + French_HGDP + CEU30_1000Genomes + CEU30_1000Genomes @ 1.047516
20 Irish_Dodecad + Polish_Dodecad + Lithuanian_Dodecad + Murcia_1000 Genomes @ 1.048110
Father-FTDNA
# Population Percent
1 Atlantic_Baltic 73.59
2 Southern 13.26
3 Caucasus_Gedrosia 11.88
4 Siberian 1
5 Australasian 0.24
6 Amerindian 0.04
Single Population Sharing:
# Population (source) Distance
1 Mixed_Germanic (Dodecad) 1.04
2 Dutch (Dodecad) 1.91
3 German (Dodecad) 2.27
4 CEU30 (1000Genomes) 2.77
5 Cornwall (1000 Genomes) 2.77
6 Kent (1000 Genomes) 2.8
7 British (Dodecad) 3.03
8 British_Isles (Dodecad) 3.98
9 Irish (Dodecad) 5.02
10 Argyll (1000 Genomes) 5.02
11 Orcadian (HGDP) 5.22
12 Orkney (1000 Genomes) 5.5
13 Hungarians (Behar) 5.53
14 French (HGDP) 6.35
15 Ukranians (Yunusbayev) 6.7
16 Polish (Dodecad) 7.16
17 French (Dodecad) 7.28
18 Belorussian (Behar) 9.1
19 Norwegian (Dodecad) 9.1
20 Swedish (Dodecad) 9.62
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 68.9% Norwegian (Dodecad) + 31.1% N_Italian (Dodecad) @ 0.74
2 88.6% Kent (1000 Genomes) + 11.4% Bulgarians (Yunusbayev) @ 0.76
3 75.6% Norwegian (Dodecad) + 24.4% TSI30 (Metspalu) @ 0.77
4 89.2% Kent (1000 Genomes) + 10.8% Bulgarian (Dodecad) @ 0.79
5 50.4% Polish (Dodecad) + 49.6% French (Dodecad) @ 0.8
6 99.4% Mixed_Germanic (Dodecad) + 0.6% Nganassan @ 0.81
7 76.1% Norwegian (Dodecad) + 23.9% Tuscan (HGDP) @ 0.84
8 74.9% German (Dodecad) + 25.1% French (HGDP) @ 0.84
9 99.3% Mixed_Germanic (Dodecad) + 0.7% Yukagir @ 0.84
10 99.1% Mixed_Germanic (Dodecad) + 0.9% Selkup @ 0.84
11 93.5% Kent (1000 Genomes) + 6.5% Greek (Dodecad) @ 0.84
12 99.3% Mixed_Germanic (Dodecad) + 0.7% Dolgan @ 0.84
13 99.3% Mixed_Germanic (Dodecad) + 0.7% Koryak @ 0.84
14 99.2% Mixed_Germanic (Dodecad) + 0.8% Ket @ 0.84
15 99.4% Mixed_Germanic (Dodecad) + 0.6% Evenk @ 0.85
16 95.7% Kent (1000 Genomes) + 4.3% Cypriots (Behar) @ 0.85
17 99.4% Mixed_Germanic (Dodecad) + 0.6% Yakut (HGDP) @ 0.86
18 96.3% Kent (1000 Genomes) + 3.7% Druze (HGDP) @ 0.86
19 59% French (HGDP) + 41% Belorussian (Behar) @ 0.86
20 94.1% Kent (1000 Genomes) + 5.9% Ashkenazy_Jews @ 0.87
-------------------------------
Least-squares method.
Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 1.094091
2 Dutch_Dodecad @ 2.031127
3 German_Dodecad @ 2.399624
4 CEU30_1000Genomes @ 2.981210
5 Cornwall_1000 Genomes @ 3.049602
6 Kent_1000 Genomes @ 3.071818
7 British_Dodecad @ 3.304150
8 British_Isles_Dodecad @ 4.376257
9 Argyll_1000 Genomes @ 5.377768
10 Irish_Dodecad @ 5.427676
11 Orcadian_HGDP @ 5.659607
12 Orkney_1000 Genomes @ 6.010443
13 Hungarians_Behar @ 6.188971
14 French_HGDP @ 6.812614
15 Ukranians_Yunusbayev @ 7.107775
16 Polish_Dodecad @ 7.621306
17 French_Dodecad @ 7.770440
18 Belorussian_Behar @ 9.654774
19 Norwegian_Dodecad @ 9.896128
20 Swedish_Dodecad @ 10.392646
Using 2 populations approximation:
1 50% Polish_Dodecad +50% French_HGDP @ 0.790649
Using 3 populations approximation:
1 50% Norwegian_Dodecad +25% Dutch_Dodecad +25% N_Italian_Dodecad @ 0.449192
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++
1 Norwegian_Dodecad + Norwegian_Dodecad + Dutch_Dodecad + N_Italian_Dodecad @ 0.449192
2 German_Dodecad + Norwegian_Dodecad + Norwegian_Dodecad + N_Italian_Dodecad @ 0.485703
3 Polish_Dodecad + Norwegian_Dodecad + North_Italian_HGDP + Orkney_1000 Genomes @ 0.587034
4 British_Dodecad + British_Isles_Dodecad + North_Italian_HGDP + Lithuanians @ 0.621457
5 Norwegian_Dodecad + Norwegian_Dodecad + N_Italian_Dodecad + Kent_1000 Genomes @ 0.633078
6 Swedish_Dodecad + Norwegian_Dodecad + Dutch_Dodecad + N_Italian_Dodecad @ 0.635324
7 Norwegian_Dodecad + Norwegian_Dodecad + N_Italian_Dodecad + CEU30_1000Genomes @ 0.638288
8 French_Dodecad + Norwegian_Dodecad + Dutch_Dodecad + Hungarians_Behar @ 0.650283
9 Norwegian_Dodecad + Norwegian_Dodecad + Mixed_Germanic_Dodecad + N_Italian_Dodecad @ 0.650836
10 British_Isles_Dodecad + North_Italian_HGDP + Lithuanians + Kent_1000 Genomes @ 0.651870
11 British_Dodecad + North_Italian_HGDP + Lithuanians + Kent_1000 Genomes @ 0.657495
12 German_Dodecad + Swedish_Dodecad + Norwegian_Dodecad + N_Italian_Dodecad @ 0.659373
13 Polish_Dodecad + Polish_Dodecad + French_Dodecad + French_HGDP @ 0.669361
14 Norwegian_Dodecad + Mixed_Germanic_Dodecad + French_HGDP + Hungarians_Behar @ 0.673235
15 Swedish_Dodecad + Norwegian_Dodecad + Mixed_Germanic_Dodecad + N_Italian_Dodecad @ 0.674368
16 Irish_Dodecad + Polish_Dodecad + Norwegian_Dodecad + North_Italian_HGDP @ 0.676438
17 Polish_Dodecad + Norwegian_Dodecad + North_Italian_HGDP + Orcadian_HGDP @ 0.680570
18 German_Dodecad + French_Dodecad + Norwegian_Dodecad + Hungarians_Behar @ 0.682909
19 British_Dodecad + Norwegian_Dodecad + Norwegian_Dodecad + N_Italian_Dodecad @ 0.685781
20 Norwegian_Dodecad + Norwegian_Dodecad + N_Italian_Dodecad + Cornwall_1000 Genomes @ 0.685781
23andMe
MDLP K23B: Dutch + German-Volga + Scottish_Argyll_Bute_GBR + Scottish_Argyll_Bute_GBR @ 1.880189
Eurogenes K13:Southeast_English + West_Scottish + West_Scottish + West_Scottish @ 2.292434
Dodecad v3:CEU + CEU + German + Orkney @ 1.508807
Harappaworld:n-european + n-european + orcadian + utahn-white @ 1.186455
puntDNAL K12 modern:Czech + Dutch_South + English_South + English_South @ 1.900828


| Thumbs Up/Down |
| Received: 7,817/25 Given: 11,069/52 |
I only started to analyse my boyfriend's results after he tested and it seems he could have part turkmen ancestry (or some other central asian) and not what he previously thought? East_Asian 4.96, Siberian 3.59



| Thumbs Up/Down |
| Received: 26,077/393 Given: 17,917/209 |
YDNA: R1b-L21 > DF13 > S1051 > FGC17906 > FGC17907 > FGC17866








| Thumbs Up/Down |
| Received: 5,481/56 Given: 3,829/37 |
23andme:
# Population Percent
1 Atlantic_Baltic 49.09
2 Southern 29.94
3 Caucasus_Gedrosia 20.85
4 Australasian 0.12
Single Population Sharing:
# Population (source) Distance
1 Tuscan (HGDP) 2.33
2 TSI30 (Metspalu) 2.46
3 O_Italian (Dodecad) 3.45
4 C_Italian (Dodecad) 6.23
5 Bulgarian (Dodecad) 7.72
6 Bulgarians (Yunusbayev) 8.45
7 Romanians (Behar) 9
8 N_Italian (Dodecad) 9.11
9 North_Italian (HGDP) 9.25
10 Greek (Dodecad) 10.39
11 Ashkenazy_Jews 14.34
12 Baleares (1000 Genomes) 14.4
13 Sicilian (Dodecad) 14.45
14 Murcia (1000 Genomes) 14.85
15 S_Italian_Sicilian (Dodecad) 14.93
16 Canarias (1000 Genomes) 15.42
17 S_Italian (Dodecad) 15.7
18 Andalucia (1000 Genomes) 15.77
19 Ashkenazi (Dodecad) 15.82
20 Extremadura (1000 Genomes) 16.36
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 79.9% North_Italian (HGDP) + 20.1% Armenians (Behar) @ 0.34
2 59.6% French_Basque + 40.4% Armenian (Dodecad) @ 0.53
3 60% French_Basque + 40% Armenians (Yunusbayev) @ 0.54
4 83.4% N_Italian (Dodecad) + 16.6% Assyrian (Dodecad) @ 0.54
5 59.8% Pais_Vasco (1000 Genomes) + 40.2% Armenian (Dodecad) @ 0.59
6 84.5% N_Italian (Dodecad) + 15.5% Iranian_Jews (Behar) @ 0.61
7 84.2% N_Italian (Dodecad) + 15.8% Iraq_Jews (Behar) @ 0.66
8 82.6% N_Italian (Dodecad) + 17.4% Georgia_Jews (Behar) @ 0.67
9 69.1% Greek (Dodecad) + 30.9% French (Dodecad) @ 0.68
10 82.5% North_Italian (HGDP) + 17.5% Armenian (Dodecad) @ 0.68
11 60.2% Pais_Vasco (1000 Genomes) + 39.8% Armenians (Yunusbayev) @ 0.68
12 57.7% French (Dodecad) + 42.3% Cypriots (Behar) @ 0.69
13 83.5% N_Italian (Dodecad) + 16.5% Azerbaijan_Jews @ 0.71
14 53.3% N_Italian (Dodecad) + 46.7% Greek (Dodecad) @ 0.79
15 87.4% C_Italian (Dodecad) + 12.6% Lithuanians @ 0.79
16 63.5% Aragon (1000 Genomes) + 36.5% Armenians (Behar) @ 0.81
17 84.7% C_Italian (Dodecad) + 15.3% Polish (Dodecad) @ 0.83
18 87.4% C_Italian (Dodecad) + 12.6% Lithuanian (Dodecad) @ 0.86
19 85.3% C_Italian (Dodecad) + 14.7% Belorussian (Behar) @ 0.9
20 84.2% C_Italian (Dodecad) + 15.8% Argyll (1000 Genomes) @ 0.91
Ftdna:
# Population Percent
1 Atlantic_Baltic 50.64
2 Southern 29.96
3 Caucasus_Gedrosia 19.21
4 Amerindian 0.17
5 Australasian 0.01
Single Population Sharing:
# Population (source) Distance
1 TSI30 (Metspalu) 1.64
2 Tuscan (HGDP) 2.29
3 O_Italian (Dodecad) 4.91
4 N_Italian (Dodecad) 7.27
5 North_Italian (HGDP) 7.28
6 Bulgarian (Dodecad) 7.46
7 C_Italian (Dodecad) 7.61
8 Bulgarians (Yunusbayev) 7.94
9 Romanians (Behar) 8.93
10 Greek (Dodecad) 12.2
11 Baleares (1000 Genomes) 12.41
12 Murcia (1000 Genomes) 12.89
13 Canarias (1000 Genomes) 13.64
14 Andalucia (1000 Genomes) 13.78
15 Extremadura (1000 Genomes) 14.4
16 Portuguese (Dodecad) 15.02
17 Galicia (1000 Genomes) 15.23
18 Castilla_La_Mancha (1000 Genomes) 15.82
19 Spaniards (Behar) 15.89
20 Ashkenazy_Jews 15.9
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 86.4% North_Italian (HGDP) + 13.6% Armenians (Yunusbayev) @ 0.29
2 86.2% North_Italian (HGDP) + 13.8% Armenian (Dodecad) @ 0.3
3 83.3% TSI30 (Metspalu) + 16.7% Bulgarians (Yunusbayev) @ 0.4
4 82.5% TSI30 (Metspalu) + 17.5% Bulgarian (Dodecad) @ 0.44
5 62.3% French_Basque + 37.7% Armenian (Dodecad) @ 0.48
6 62.7% N_Italian (Dodecad) + 37.3% Greek (Dodecad) @ 0.51
7 84.3% North_Italian (HGDP) + 15.7% Armenians (Behar) @ 0.53
8 93.1% Tuscan (HGDP) + 6.9% Ukranians (Yunusbayev) @ 0.53
9 94.9% Tuscan (HGDP) + 5.1% Lithuanians @ 0.58
10 94% Tuscan (HGDP) + 6% Belorussian (Behar) @ 0.58
11 93.7% Tuscan (HGDP) + 6.3% Polish (Dodecad) @ 0.59
12 91% Tuscan (HGDP) + 9% Hungarians (Behar) @ 0.6
13 94.9% Tuscan (HGDP) + 5.1% Lithuanian (Dodecad) @ 0.61
14 94% Tuscan (HGDP) + 6% Russian_B (Behar) @ 0.64
15 86.8% North_Italian (HGDP) + 13.2% Azerbaijan_Jews @ 0.66
16 62.5% Pais_Vasco (1000 Genomes) + 37.5% Armenian (Dodecad) @ 0.66
17 86.3% North_Italian (HGDP) + 13.7% Uzbekistan_Jews @ 0.66
18 87.4% N_Italian (Dodecad) + 12.6% Iraq_Jews (Behar) @ 0.66
19 82.2% N_Italian (Dodecad) + 17.8% Cypriots (Behar) @ 0.67
20 93.5% Tuscan (HGDP) + 6.5% Argyll (1000 Genomes) @ 0.67
23andme: 100% Balkan https://www.theapricity.com/forum/sh...3andme-results
MyOrigins 2.0: 100% Southeast Europe
Geneplaza K25: 100% Greek-Albanian
Eurogenes K36 oracle: 50.64% Albania_North+ 49.36% Kosovo. Population distance: 1) 1.27 Northern Albania&Kosovo
Ydna: J1-ZS241
Maternal Ydna: E-V13>CTS5856*
The Albanians, these tigers of mountain wars ... have as their religion rebellion. Even their worst warrior is one of the strongest and bravest on the battle-field, just as if he was a knight on the legendary horse. But he has no horse, nor proper weapons for battle. Instead of the horse, he has a lance which strikes as lightning, he has spears who's points are full of posion as the sting of hornets, he has also a wooden bow with some arrows. Furthermore, he is stronger than iron ...
- Ibn Kemal, Historian of the Turkish court during Skanderbeg's war against the Turks.








| Thumbs Up/Down |
| Received: 5,481/56 Given: 3,829/37 |
23andme: 100% Balkan https://www.theapricity.com/forum/sh...3andme-results
MyOrigins 2.0: 100% Southeast Europe
Geneplaza K25: 100% Greek-Albanian
Eurogenes K36 oracle: 50.64% Albania_North+ 49.36% Kosovo. Population distance: 1) 1.27 Northern Albania&Kosovo
Ydna: J1-ZS241
Maternal Ydna: E-V13>CTS5856*
The Albanians, these tigers of mountain wars ... have as their religion rebellion. Even their worst warrior is one of the strongest and bravest on the battle-field, just as if he was a knight on the legendary horse. But he has no horse, nor proper weapons for battle. Instead of the horse, he has a lance which strikes as lightning, he has spears who's points are full of posion as the sting of hornets, he has also a wooden bow with some arrows. Furthermore, he is stronger than iron ...
- Ibn Kemal, Historian of the Turkish court during Skanderbeg's war against the Turks.




| Thumbs Up/Down |
| Received: 29,459/811 Given: 15,646/234 |




| Thumbs Up/Down |
| Received: 6,244/42 Given: 7,078/2 |
Admix Results (sorted):
# Population Percent
1 East_Asian 86.17
2 South_Asian 4.68
3 Australasian 2.78
4 Caucasus_Gedrosia 1.77
5 Atlantic_Baltic 1.63
6 Siberian 1.11
7 Southern 1.04
8 Amerindian 0.82
Single Population Sharing:
# Population (source) Distance
1 Lahu 5.85
2 KHV30 (1000Genomes) 7.67
3 Cambodians (HGDP) 8.74
4 CHS30 (SGVP) 10.04
5 Miaozu 10.17
6 She (HGDP) 10.31
7 Dai (HGDP) 10.49
8 CDX30 (1000Genomes) 10.71
9 Han (HGDP) 10.96
10 MAS30 (SGVP) 11.08
11 CHD30 (Metspalu) 11.2
12 Tujia (HGDP) 11.3
13 Chinese (Dodecad) 14.15
14 CHB30 (Metspalu) 14.22
15 Yizu (HGDP) 17.91
16 Naxi (HGDP) 19.04
17 Korean (Dodecad) 23.57
18 Naga (Metspalu) 23.9
19 Garo (Chaubey) 24.33
20 Burmanese (Chaubey) 24.99
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 92.3% KHV30 (1000Genomes) + 7.7% Tajiks (Yunusbayev) @ 2.76
2 92% KHV30 (1000Genomes) + 8% Nogais (Yunusbayev) @ 2.8
3 92.1% KHV30 (1000Genomes) + 7.9% Turkmens (Yunusbayev) @ 2.82
4 91% KHV30 (1000Genomes) + 9% Uzbeks (Behar) @ 2.82
5 89.8% KHV30 (1000Genomes) + 10.2% Uygur (HGDP) @ 2.96
6 92.8% KHV30 (1000Genomes) + 7.2% Turkish (Dodecad) @ 2.99
7 95% Lahu + 5% Greek (Dodecad) @ 3.02
8 92.9% KHV30 (1000Genomes) + 7.1% Turks (Behar) @ 3.04
9 95% Lahu + 5% S_Italian_Sicilian (Dodecad) @ 3.04
10 95% Lahu + 5% S_Italian (Dodecad) @ 3.05
11 94.9% Lahu + 5.1% Ashkenazy_Jews @ 3.06
12 90.4% KHV30 (1000Genomes) + 9.6% Hazara (HGDP) @ 3.06
13 95% Lahu + 5% Sicilian (Dodecad) @ 3.06
14 93% KHV30 (1000Genomes) + 7% Ashkenazy_Jews @ 3.06
15 92.9% KHV30 (1000Genomes) + 7.1% Kumyks (Yunusbayev) @ 3.07
16 95% Lahu + 5% Ashkenazi (Dodecad) @ 3.07
17 93.1% KHV30 (1000Genomes) + 6.9% Greek (Dodecad) @ 3.07
18 92.9% KHV30 (1000Genomes) + 7.1% Balkars (Yunusbayev) @ 3.07
19 95% Lahu + 5% C_Italian (Dodecad) @ 3.07
20 95% Lahu + 5% Chechens (Yunusbayev) @ 3.08







| Thumbs Up/Down |
| Received: 13,525/1,266 Given: 13,018/821 |
World9 4-Ancestors Oracle
Admix Results (sorted):
# Population Percent
1 Caucasus_Gedrosia 40.80
2 Southern 39.30
3 Atlantic_Baltic 9.80
4 South_Asian 3.46
5 African 3.13
6 Australasian 1.62
7 Siberian 1.22
Finished reading population data. 250 populations found.
9 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Syrians_Behar @ 6.098844
2 Georgia_Jews_Behar @ 7.190713
3 Lebanese_Behar @ 8.070976
4 Druze_HGDP @ 8.187551
5 Uzbekistan_Jews @ 8.242174
6 Assyrian_Dodecad @ 9.486771
7 Azerbaijan_Jews @ 9.621315
8 Armenian_Dodecad @ 10.342617
9 Iraq_Jews_Behar @ 10.969012
10 Armenians_Yunusbayev @ 11.091128
11 Iranian_Jews_Behar @ 12.129934
12 Jordanians_Behar @ 12.603585
13 Iranians_Behar @ 12.945705
14 Armenians_Behar @ 12.988944
15 Turks_Behar @ 13.262618
16 Cypriots_Behar @ 13.848537
17 Palestinian_HGDP @ 14.205722
18 Turkish_Dodecad @ 14.432286
19 Kurd_Dodecad @ 14.553378
20 Kurds_Yunusbayev @ 14.840295
Using 2 populations approximation:
1 50% Iranian_Dodecad +50% Palestinian_HGDP @ 2.383550
Using 3 populations approximation:
1 50% Iranian_Dodecad +25% Bedouin_HGDP +25% Cypriots_Behar @ 2.022596
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++
1 Turkish_Dodecad + Bedouin_HGDP + Iranians_Behar + Uzbekistan_Jews @ 1.677589
2 Bedouin_HGDP + Iranians_Behar + Turks_Behar + Uzbekistan_Jews @ 1.745902
3 Turkish_Dodecad + Iranians_Behar + Saudis_Behar + Uzbekistan_Jews @ 1.799972
4 Iranian_Dodecad + Bedouin_HGDP + Cypriots_Behar + Iranians_Behar @ 1.828701
5 Iranian_Dodecad + Syrians_Behar + Syrians_Behar + Syrians_Behar @ 1.884179
6 Iranian_Dodecad + Lebanese_Behar + Syrians_Behar + Syrians_Behar @ 1.898393
7 Adygei_HGDP + Iranians_Behar + Syrians_Behar + Yemen_Jews_Behar @ 1.904651
8 Iranian_Dodecad + Bedouin_HGDP + Lezgins_Behar + Saudis_Behar @ 1.941916
9 Iranian_Dodecad + Cypriots_Behar + Iranians_Behar + Saudis_Behar @ 1.954794
10 Palestinian_HGDP + Iranians_Behar + Lezgins_Behar + Yemen_Jews_Behar @ 1.961569
11 Iranian_Dodecad + Lezgins_Behar + Saudis_Behar + Saudis_Behar @ 1.965533
12 Iranians_Behar + Jordanians_Behar + Yemen_Jews_Behar + Chechens_Yunusbayev @ 1.974738
13 Iranian_Dodecad + Palestinian_HGDP + Lebanese_Behar + Uzbekistan_Jews @ 1.979741
14 Palestinian_HGDP + Iranians_Behar + Saudis_Behar + Chechens_Yunusbayev @ 1.981284
15 Iranians_Behar + Syrians_Behar + Yemen_Jews_Behar + Kumyks_Yunusbayev @ 1.981710
16 Turkish_Dodecad + Bedouin_HGDP + Azerbaijan_Jews + Iranians_Behar @ 1.985013
17 Iranians_Behar + Syrians_Behar + Yemen_Jews_Behar + Balkars_Yunusbayev @ 2.008820
18 Iranian_Dodecad + Iranian_Dodecad + Bedouin_HGDP + Cypriots_Behar @ 2.022596
19 Iranians_Behar + Lebanese_Behar + Yemen_Jews_Behar + Kumyks_Yunusbayev @ 2.040701
20 Iranian_Dodecad + Palestinian_HGDP + Yemen_Jews_Behar + Chechens_Yunusbayev @ 2.064038
Done.
My genetic results
1 50% Azeri_Dagestan +50% BedouinA @ 2.879975
One nation and one destiny
There are currently 1 users browsing this thread. (0 members and 1 guests)
Bookmarks