Yeah, and I've heard Dienekes includes Pontians too. That would would shake things up a bit if it's true.
Do you get Greek as your highest match on World9?
Printable View
Population
Amerindian 0.73%
East_Asian 3.74%
African 0.26%
Atlantic_Baltic 17.91%
Australasian 0.14%
Siberian 4.64%
Caucasus_Gedrosia 41.76%
Southern 28.86%
South_Asian 1.96%
Amerindian -
East_Asian 0.24%
African 1.10%
Atlantic_Baltic 53.10%
Australasian -
Siberian 1.65%
Caucasus_Gedrosia 19.33%
Southern 23.98%
South_Asian 0.60%
Me (37.5% Sicily, 12.5% Sardinia, 25% Polish, 25% Portuguese)
Atlantic-Baltic: 55.7%
Southern: 27.6%
Caucasus: 15.5%
African: 0.6%
Amerindian: 0.5%
East Asian: 0.1%
My mother (50% Portugal, 50% Poland):
Atlantic-Baltic: 71.7%
Southern: 14.6%
Caucasus: 10.5%
African: 1.3%
South Asian: 0.7%
Amerindian: 0.4%
Australasian: 0.1%
ESTIMATE for my father based on mine and my mom's scores:
Southern: 40.2%
Atlantic-Baltic: 39.3%
Caucasus: 20.5%
African: 0%
Amerindian: 0.5%
Dodecad World9 with oracle 4
Admix Results (sorted):
# Population Percent
1 Caucasus_Gedrosia 46.79
2 Southern 32.11
3 Atlantic_Baltic 15.41
4 Siberian 3.46
5 East_Asian 2.23
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Armenians @ 4.548
2 Turks @ 5.342
3 Armenian @ 8.787
4 Armenians @ 9.093
5 Uzbekistan_Jews @ 9.362
6 Turkish @ 9.416
7 Kurds @ 9.520
8 Kurd @ 9.795
9 Georgians @ 10.752
10 Iranian @ 11.110
Using 2 populations approximation:
1 50% Georgia_Jews +50% Balkars @ 1.574
2 50% Georgia_Jews +50% North_Ossetians @ 1.676
3 50% Georgia_Jews +50% Kumyks @ 1.732
4 50% Adygei +50% Georgia_Jews @ 2.303
5 50% Druze +50% North_Ossetians @ 2.549
6 50% Iraq_Jews +50% Balkars @ 2.565
7 50% Assyrian +50% Balkars @ 2.639
8 50% Turks +50% Armenians @ 2.938
9 50% Armenian +50% Turks @ 3.029
10 50% Assyrian +50% Kumyks @ 3.080
Using 3 populations approximation:
1 50% Georgians +25% Samaritians +25% Nogais @ 1.157
2 50% Armenian +25% Armenian +25% Nogais @ 1.228
3 50% Armenian +25% Armenians +25% Nogais @ 1.282
4 50% North_Ossetians +25% Armenians +25% Samaritians @ 1.358
5 50% Georgia_Jews +25% Balkars +25% North_Ossetians @ 1.394
6 50% Armenians +25% Armenian +25% Nogais @ 1.404
7 50% North_Ossetians +25% Cypriots +25% Iranian_Jews @ 1.517
8 50% North_Ossetians +25% Druze +25% Georgia_Jews @ 1.532
9 50% Georgia_Jews +25% Balkars +25% Kumyks @ 1.538
10 50% Turks +25% Iraq_Jews +25% North_Ossetians @ 1.549
Using 4 populations approximation:
1 Georgians + Georgians + Samaritians + Nogais @ 1.157
2 Armenian + Armenian + Armenian + Nogais @ 1.228
3 Armenian + Armenian + Armenians + Nogais @ 1.282
4 Armenians + Samaritians + North_Ossetians + North_Ossetians @ 1.358
5 Georgia_Jews + Georgia_Jews + Balkars + North_Ossetians @ 1.394
6 Armenian + Armenians + Armenians + Nogais @ 1.404
7 Assyrian + Druze + Balkars + North_Ossetians @ 1.415
8 Assyrian + Georgia_Jews + Georgians + Nogais @ 1.440
9 Georgians + Samaritians + Abhkasians + Nogais @ 1.445
10 Druze + Azerbaijan_Jews + Balkars + North_Ossetians @ 1.478
11 Armenian + Georgia_Jews + Georgians + Nogais @ 1.492
12 Cypriots + Iranian_Jews + North_Ossetians + North_Ossetians @ 1.517
13 Druze + Georgia_Jews + North_Ossetians + North_Ossetians @ 1.532
14 Georgia_Jews + Georgia_Jews + Balkars + Kumyks @ 1.538
15 Iraq_Jews + Turks + Turks + North_Ossetians @ 1.549
16 Assyrian + Armenians + Armenians + Nogais @ 1.565
17 Georgia_Jews + Iraq_Jews + Balkars + Balkars @ 1.566
18 Armenians + Armenians + Armenians + Nogais @ 1.568
19 Georgia_Jews + Georgia_Jews + Balkars + Balkars @ 1.574
20 Georgia_Jews + Georgians + Armenians + Nogais @ 1.611
I will see if I have my aunt's world9 but I don't think so.
My Oracle
Single Population Sharing:
# Population (source) Distance
1 Kurd (Dodecad) 3.95
2 Kurds (Yunusbayev) 4.1
3 Uzbekistan_Jews 5.63
4 Iranians (Behar) 6
5 Iranian (Dodecad) 6.08
6 Armenians (Yunusbayev) 6.24
7 Armenian (Dodecad) 6.48
8 Armenians (Behar) 6.9
9 Azerbaijan_Jews 8.85
10 Turks (Behar) 9.28
11 Georgians (Behar) 9.34
12 Assyrian (Dodecad) 9.7
13 Abhkasians (Yunusbayev) 10.79
14 Georgia_Jews (Behar) 12.02
15 Turkish (Dodecad) 12.65
16 Iranian_Jews (Behar) 12.86
17 Iraq_Jews (Behar) 14.07
18 Kumyks (Yunusbayev) 14.99
19 North_Ossetians (Yunusbayev) 15.44
20 Syrians (Behar) 15.91
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 87.7% Kurd (Dodecad) + 12.3% Sephardic_Jews (Behar) @ 0.87
2 88.6% Kurd (Dodecad) + 11.4% Morocco_Jews (Behar) @ 0.94
3 94% Kurd (Dodecad) + 6% Sardinian @ 1.17
4 83.5% Kurd (Dodecad) + 16.5% Cypriots (Behar) @ 1.23
5 89% Kurd (Dodecad) + 11% Ashkenazi (Dodecad) @ 1.25
6 85.8% Armenian (Dodecad) + 14.2% Burusho (HGDP) @ 1.3
7 88.9% Kurd (Dodecad) + 11.1% S_Italian (Dodecad) @ 1.31
8 89.5% Kurd (Dodecad) + 10.5% Sicilian (Dodecad) @ 1.33
9 89.2% Kurd (Dodecad) + 10.8% S_Italian_Sicilian (Dodecad) @ 1.35
10 89.3% Kurd (Dodecad) + 10.7% Ashkenazy_Jews @ 1.4
11 88.6% Kurds (Yunusbayev) + 11.4% Morocco_Jews (Behar) @ 1.49
12 84.7% Armenian (Dodecad) + 15.3% Pathan (HGDP) @ 1.51
13 87.9% Kurds (Yunusbayev) + 12.1% Sephardic_Jews (Behar) @ 1.58
14 91.4% Kurd (Dodecad) + 8.6% C_Italian (Dodecad) @ 1.76
15 90.2% Kurd (Dodecad) + 9.8% Greek (Dodecad) @ 1.77
16 94.2% Kurds (Yunusbayev) + 5.8% Sardinian @ 1.84
17 94.1% Kurd (Dodecad) + 5.9% Canarias (1000 Genomes) @ 1.86
18 83.8% Kurds (Yunusbayev) + 16.2% Cypriots (Behar) @ 1.87
19 89.3% Kurds (Yunusbayev) + 10.7% Ashkenazi (Dodecad) @ 1.89
20 78.3% Kurd (Dodecad) + 21.7% Turkish (Dodecad) @ 1.89
It would be nice to see Albanians tested in Dodecad and separate sheet for mainland Greeks.
Me(Slavic, Finno-Ugric, Ashkenazi mix):
Admix Results (sorted):
# Population Percent
1 Atlantic_Baltic 64.39
2 Caucasus_Gedrosia 16.40
3 Southern 14.12
4 Siberian 3.05
5 East_Asian 2.03
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Hungarians @ 4.833
2 French @ 9.335
3 French @ 10.764
4 Mixed_Germanic @ 10.963
5 Ukranians @ 11.421
6 Dutch @ 11.545
7 German @ 12.090
8 CEU30 @ 12.877
9 Cornwall @ 13.454
10 Kent @ 13.505
250 iterations.
Using 2 populations approximation:
1 50% N_Italian +50% Mordovians @ 2.220
2 50% Bulgarian +50% Russian_B @ 2.329
3 50% Russian_B +50% Bulgarians @ 2.353
4 50% Russian +50% Bulgarians @ 2.445
5 50% Russian +50% Bulgarian @ 2.447
6 50% North_Italian +50% Mordovians @ 2.767
7 50% Bulgarian +50% Belorussian @ 2.774
8 50% Polish +50% Bulgarian @ 2.941
9 50% Bulgarians +50% Ukranians @ 2.951
10 50% Belorussian +50% Bulgarians @ 2.981
31375 iterations.
Using 3 populations approximation:
1 50% Norwegian +25% Pais_Vasco +25% Balkars @ 1.734
2 50% Norwegian +25% French_Basque +25% Balkars @ 1.751
3 50% Russian_B +25% Ashkenazy_Jews +25% Hungarians @ 1.784
4 50% Swedish +25% French_Basque +25% Balkars @ 1.787
5 50% Swedish +25% Pais_Vasco +25% Balkars @ 1.797
6 50% Russian +25% Ashkenazi +25% Mixed_Germanic @ 1.825
7 50% Russian +25% Ashkenazi +25% Dutch @ 1.863
8 50% Bulgarian +25% Norwegian +25% Mordovians @ 1.872
9 50% Russian_B +25% Polish +25% Sephardic_Jews @ 1.881
10 50% Russian +25% Mixed_Germanic +25% Ashkenazy_Jews @ 1.881
1104069 iterations.
Using 4 populations approximation:
1 Finnish + French_Basque + Orkney + Balkars @ 1.600
2 Finnish + French_Basque + Orcadian + Balkars @ 1.627
3 Finnish + Orkney + Pais_Vasco + Balkars @ 1.637
4 Finnish + British_Isles + French_Basque + Balkars @ 1.658
5 French_Basque + FIN30 + Orkney + Balkars @ 1.668
6 Finnish + Orcadian + Pais_Vasco + Balkars @ 1.672
7 Finnish + British_Isles + Pais_Vasco + Balkars @ 1.692
8 Ashkenazi + Russian_B + Cornwall + Mordovians @ 1.703
9 Ashkenazi + Russian_B + Kent + Mordovians @ 1.703
10 Irish + Finnish + French_Basque + Balkars @ 1.706
11 French_Basque + Orcadian + FIN30 + Balkars @ 1.708
12 FIN30 + Orkney + Pais_Vasco + Balkars @ 1.712
13 Bulgarian + North_Italian + Russian_B + Mordovians @ 1.719
14 Mixed_Germanic + Ashkenazy_Jews + Belorussian + Mordovians @ 1.721
15 Ashkenazi + German + Belorussian + Mordovians @ 1.722
16 Norwegian + Norwegian + Pais_Vasco + Balkars @ 1.734
17 Bulgarian + N_Italian + Russian_B + Mordovians @ 1.736
18 Swedish + Norwegian + Pais_Vasco + Balkars @ 1.737
19 Ashkenazi + British + Russian_B + Mordovians @ 1.739
20 British_Isles + French_Basque + FIN30 + Balkars @ 1.740
Mother
75.36% -- Atlantic_Baltic
11.45% -- Caucasus_Gedrosia
11.32% -- Southern
Father
73.74% -- Atlantic_Baltic
13.29% -- Southern
11.41% -- Caucasus_Gedrosia
Myself
76.19% -- Atlantic_Baltic
11.37% -- Southern
10.66% -- Caucasus_Gedrosia
Amerindian -
East_Asian 0.09%
African -
Atlantic_Baltic 76.36%
Australasian 0.31%
Siberian 2.89%
Caucasus_Gedrosia 11.53%
Southern 7.92%
South_Asian 0.90%
# Population (source) Distance
1 Polish (Dodecad) 2.5
2 Argyll (1000 Genomes) 2.87
3 Irish (Dodecad) 3.29
4 Orkney (1000 Genomes) 3.53
5 Orcadian (HGDP) 3.53
6 Belorussian (Behar) 3.76
7 British_Isles (Dodecad) 4.18
8 CEU30 (1000Genomes) 4.26
9 British (Dodecad) 4.3
10 German (Dodecad) 4.4
11 Ukranians (Yunusbayev) 4.51
12 Swedish (Dodecad) 4.56
13 Norwegian (Dodecad) 4.57
14 Kent (1000 Genomes) 4.66
15 Dutch (Dodecad) 4.89
16 Cornwall (1000 Genomes) 4.94
17 Russian_B (Behar) 5.33
18 Russian (Dodecad) 5.88
19 Mixed_Germanic (Dodecad) 6.01
20 Russian (HGDP) 9.06
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 66.9% Dutch (Dodecad) + 33.1% FIN30 (1000Genomes) @ 0.63
2 58.6% British_Isles (Dodecad) + 41.4% Russian (Dodecad) @ 0.7
3 67.7% Dutch (Dodecad) + 32.3% Finnish (Dodecad) @ 0.74
4 69.4% German (Dodecad) + 30.6% FIN30 (1000Genomes) @ 0.86
5 68.8% British_Isles (Dodecad) + 31.2% Russian (HGDP) @ 0.88
6 73.9% Orkney (1000 Genomes) + 26.1% Mordovians (Yunusbayev) @ 0.91
7 93.4% Norwegian (Dodecad) + 6.6% Turkmens (Yunusbayev) @ 0.94
8 72.6% Orkney (1000 Genomes) + 27.4% Russian (HGDP) @ 0.95
9 58% British (Dodecad) + 42% Russian (Dodecad) @ 0.95
10 74.1% Irish (Dodecad) + 25.9% Russian (HGDP) @ 0.96
11 70.3% German (Dodecad) + 29.7% Finnish (Dodecad) @ 0.98
12 72.7% Orcadian (HGDP) + 27.3% Russian (HGDP) @ 1.01
13 56% Kent (1000 Genomes) + 44% Russian (Dodecad) @ 1.09
14 62.3% Mixed_Germanic (Dodecad) + 37.7% FIN30 (1000Genomes) @ 1.1
15 54.5% Cornwall (1000 Genomes) + 45.5% Russian (Dodecad) @ 1.1
16 56.4% British_Isles (Dodecad) + 43.6% Russian_B (Behar) @ 1.1
17 93.1% Swedish (Dodecad) + 6.9% Turkish (Dodecad) @ 1.13
18 86% Swedish (Dodecad) + 14% Romanians (Behar) @ 1.14
19 94.3% Swedish (Dodecad) + 5.7% Syrians (Behar) @ 1.16
20 94.2% Norwegian (Dodecad) + 5.8% Iranian (Dodecad) @ 1.16
Atlantic_Baltic 44.63%
Southern 29.30%
Caucasus_Gedrosia 25.54%
Australasian 0.53%
World9 4-Ancestors Oracle
Admix Results (sorted):
# Population Percent
1 Atlantic_Baltic 55.29
2 Southern 25.15
3 Caucasus_Gedrosia 19.55
Least-squares method.
Using 1 population approximation:
1 Bulgarians @ 3.243
2 Bulgarian @ 3.856
3 N_Italian @ 5.130
4 Romanians @ 6.553
5 North_Italian @ 6.736
6 TSI30 @ 8.367
7 Tuscan @ 9.171
8 O_Italian @ 11.574
9 Baleares @ 11.606
10 Andalucia @ 13.568
Using 2 populations approximation:
1 50% S_Italian_Sicilian +50% Dutch @ 1.083
2 50% German +50% S_Italian @ 1.126
3 50% Dutch +50% S_Italian @ 1.148
4 50% German +50% S_Italian_Sicilian @ 1.223
5 50% Mixed_Germanic +50% S_Italian_Sicilian @ 1.368
6 50% S_Italian +50% Kent @ 1.370
7 50% Bulgarian +50% N_Italian @ 1.399
8 50% S_Italian +50% Cornwall @ 1.493
9 50% Mixed_Germanic +50% S_Italian @ 1.516
10 50% S_Italian +50% CEU30 @ 1.529
Who wants to run my data for me? I will send my raw data.
World9 is on GEDmatch.
Amerindian -
East_Asian 0.07%
African 0.07%
Atlantic_Baltic 52.99%
Australasian 0.37%
Siberian 0.84%
Caucasus_Gedrosia 19.29%
Southern 24.62%
South_Asian 1.75%
Under oracle I get this:
Admix Results (sorted):
# Population Percent
1 Atlantic_Baltic 54.86
2 Southern 24.96
3 Caucasus_Gedrosia 19.4
4 Siberian 0.73
5 African 0.04
6 East_Asian 0.01
Single Population Sharing:
# Population (source) Distance
1 Bulgarians (Yunusbayev) 2.66
2 Bulgarian (Dodecad) 3.19
3 N_Italian (Dodecad) 4.8
4 Romanians (Behar) 5.59
5 North_Italian (HGDP) 6.3
6 TSI30 (Metspalu) 7.68
7 Tuscan (HGDP) 8.38
8 O_Italian (Dodecad) 10.42
9 Baleares (1000 Genomes) 10.59
10 Andalucia (1000 Genomes) 12.37
11 Extremadura (1000 Genomes) 12.56
12 Murcia (1000 Genomes) 12.73
13 Galicia (1000 Genomes) 13.32
14 C_Italian (Dodecad) 13.33
15 Portuguese (Dodecad) 13.47
16 Spaniards (Behar) 13.48
17 Castilla_La_Mancha (1000 Genomes) 13.92
18 Canarias (1000 Genomes) 14.44
19 Valencia (1000 Genomes) 14.54
20 Cataluna (1000 Genomes) 14.61
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 58.2% Greek (Dodecad) + 41.8% Kent (1000 Genomes) @ 0.65
2 59.3% Greek (Dodecad) + 40.7% British_Isles (Dodecad) @ 0.66
3 66.8% Bulgarian (Dodecad) + 33.2% North_Italian (HGDP) @ 0.68
4 72.7% C_Italian (Dodecad) + 27.3% Lithuanians @ 0.69
5 60.4% Bulgarian (Dodecad) + 39.6% N_Italian (Dodecad) @ 0.69
6 58% Greek (Dodecad) + 42% Cornwall (1000 Genomes) @ 0.71
7 71% Bulgarians (Yunusbayev) + 29% North_Italian (HGDP) @ 0.74
8 58.4% Greek (Dodecad) + 41.6% British (Dodecad) @ 0.75
9 55.5% Greek (Dodecad) + 44.5% Mixed_Germanic (Dodecad) @ 0.78
10 67.1% C_Italian (Dodecad) + 32.9% Polish (Dodecad) @ 0.78
11 90.7% Bulgarians (Yunusbayev) + 9.3% Sardinian @ 0.78
12 68.3% C_Italian (Dodecad) + 31.7% Belorussian (Behar) @ 0.8
13 72.7% C_Italian (Dodecad) + 27.3% Lithuanian (Dodecad) @ 0.84
14 75.3% French (HGDP) + 24.7% Georgia_Jews (Behar) @ 0.88
15 71.4% Dutch (Dodecad) + 28.6% Samaritians (Behar) @ 0.88
16 55.3% C_Italian (Dodecad) + 44.7% Hungarians (Behar) @ 0.89
17 67% Pais_Vasco (1000 Genomes) + 33% Georgians (Behar) @ 0.89
18 60.8% Greek (Dodecad) + 39.2% Orkney (1000 Genomes) @ 0.9
19 70.8% German (Dodecad) + 29.2% Samaritians (Behar) @ 0.9
20 77% French (HGDP) + 23% Iraq_Jews (Behar) @ 0.91
Dodecad K12b 4-Ancestors Oracle (a bit similair)
Admix Results (sorted):
# Population Percent
1 Atlantic_Med 35.25
2 North_European 27.64
3 Caucasus 21.61
4 Gedrosia 8.99
5 Southwest_Asian 6.51
--------------------------------
Least-squares method.
Using 1 population approximation:
1 N_Italian @ 8.031
2 O_Italian @ 9.798
3 North_Italian @ 11.475
4 TSI30 @ 12.171
5 Tuscan @ 13.569
6 C_Italian @ 15.789
7 Romanians @ 16.374
8 Bulgarian @ 17.026
9 Bulgarians @ 17.292
10 Baleares @ 17.659
223 iterations.
Using 2 populations approximation:
1 50% Mixed_Germanic +50% S_Italian_Sicilian @ 1.973
2 50% Kent +50% S_Italian_Sicilian @ 2.372
3 50% Dutch +50% S_Italian_Sicilian @ 2.453
4 50% CEU30 +50% S_Italian_Sicilian @ 2.480
5 50% English +50% S_Italian_Sicilian @ 2.542
6 50% Mixed_Germanic +50% Sicilian @ 2.757
7 50% Kent +50% Sicilian @ 3.113
8 50% Dutch +50% Sicilian @ 3.194
9 50% CEU30 +50% Sicilian @ 3.198
10 50% Cornwall +50% S_Italian_Sicilian @ 3.216
24976 iterations.
Your results are similar to mine
1 Atlantic_Baltic 54.16
2 Southern 24.45
3 Caucasus_Gedrosia 19.71
4 Siberian 1.68
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Bulgarians @ 2.188
2 Bulgarian @ 2.714
3 Romanians @ 5.463
4 N_Italian @ 6.231
5 North_Italian @ 7.770
6 TSI30 @ 8.420
7 Tuscan @ 9.125
8 O_Italian @ 11.226
9 Baleares @ 12.586
10 C_Italian @ 14.376
250 iterations.
Using 2 populations approximation:
1 50% Greek +50% Hungarians @ 1.320
2 50% Belorussian +50% Sephardic_Jews @ 1.721
3 50% Dutch +50% S_Italian @ 1.877
4 50% German +50% S_Italian @ 1.890
5 50% Dutch +50% Ashkenazy_Jews @ 2.025
6 50% S_Italian_Sicilian +50% Dutch @ 2.026
7 50% Ashkenazi +50% Ukranians @ 2.030
8 50% Polish +50% Sephardic_Jews @ 2.049
9 50% Swedish +50% Sephardic_Jews @ 2.070
10 50% Ashkenazi +50% Dutch @ 2.076
And to Anglojew's as well.
Here's mine:
Amerindian -
East_Asian 1.03%
African 1.05%
Atlantic_Baltic 32.20%
Australasian 0.85%
Siberian 0.43%
Caucasus_Gedrosia 26.18%
Southern 38.26%
South_Asian -
And oracle:
Admix Results (sorted):
# Population Percent
1 Southern 39.59
2 Atlantic_Baltic 33.32
3 Caucasus_Gedrosia 27.09
--------------------------------
Least-squares method.
Using 1 population approximation:
1 S_Italian @ 2.554
2 S_Italian_Sicilian @ 3.372
3 Ashkenazi @ 3.491
4 Sicilian @ 4.564
5 Ashkenazy_Jews @ 4.615
6 Sephardic_Jews @ 6.681
7 Greek @ 8.496
8 Morocco_Jews @ 9.442
9 C_Italian @ 13.020
10 Cypriots @ 15.903
250 iterations.
Using 2 populations approximation:
1 50% Greek +50% Sephardic_Jews @ 1.882
2 50% C_Italian +50% Cypriots @ 1.907
3 50% Sardinian +50% Armenians @ 1.959
4 50% O_Italian +50% Cypriots @ 1.969
5 50% Tuscan +50% Cypriots @ 2.107
6 50% Druze +50% North_Italian @ 2.264
7 50% Armenian +50% Sardinian @ 2.392
8 50% TSI30 +50% Cypriots @ 2.517
9 50% S_Italian +50% S_Italian @ 2.554
10 50% S_Italian_Sicilian +50% Sephardic_Jews @ 2.646
31375 iterations.
Using 3 populations approximation:
1 50% Greek +25% Tuscan +25% Samaritians @ 0.785
2 50% Sardinian +25% Assyrian +25% Georgians @ 0.793
3 50% C_Italian +25% Greek +25% Samaritians @ 0.876
4 50% Greek +25% TSI30 +25% Samaritians @ 0.877
5 50% Sardinian +25% Assyrian +25% Abhkasians @ 0.894
6 50% Sardinian +25% Azerbaijan_Jews +25% Georgians @ 0.907
7 50% Cypriots +25% Cypriots +25% Pais_Vasco @ 0.982
8 50% Samaritians +25% Irish +25% C_Italian @ 0.993
9 50% Cypriots +25% S_Italian_Sicilian +25% North_Italian @ 1.008
10 50% Cypriots +25% Sicilian +25% North_Italian @ 1.015
806573 iterations.
Humanist
Rounding to nearest %.
http://i1178.photobucket.com/albums/...hum_world9.jpg
World9 Oracle
Admix Results (sorted):
# Population Percent
1 Southern 50.2
2 Caucasus_Gedrosia 35.26
3 Atlantic_Baltic 11.54
4 African 2.2
5 South_Asian 0.58
6 Australasian 0.15
7 East_Asian 0.07
Single Population Sharing:
# Population (source) Distance
1 Druze (HGDP) 5.44
2 Lebanese (Behar) 6.6
3 Palestinian (HGDP) 7.25
4 Syrians (Behar) 7.43
5 Samaritians (Behar) 8.46
6 Jordanians (Behar) 9
7 Cypriots (Behar) 9.91
8 Georgia_Jews (Behar) 10.92
9 Iraq_Jews (Behar) 13.49
10 Saudis (Behar) 13.93
11 Bedouin (HGDP) 15.23
12 Assyrian (Dodecad) 15.34
13 Azerbaijan_Jews 16.24
14 Iranian_Jews (Behar) 16.35
15 Uzbekistan_Jews 17.12
16 Yemen_Jews (Behar) 17.29
17 Armenian (Dodecad) 17.83
18 Sephardic_Jews (Behar) 18.17
19 Morocco_Jews (Behar) 18.41
20 Armenians (Yunusbayev) 18.75
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 89.9% Samaritians (Behar) + 10.1% Mordovians (Yunusbayev) @ 2.07
2 85.1% Samaritians (Behar) + 14.9% Romanians (Behar) @ 2.15
3 54.2% Samaritians (Behar) + 45.8% Cypriots (Behar) @ 2.16
4 90.2% Samaritians (Behar) + 9.8% Russian_B (Behar) @ 2.17
5 90.2% Samaritians (Behar) + 9.8% Russian (Dodecad) @ 2.17
6 89.7% Samaritians (Behar) + 10.3% Ukranians (Yunusbayev) @ 2.23
7 90.3% Samaritians (Behar) + 9.7% Belorussian (Behar) @ 2.28
8 91% Samaritians (Behar) + 9% Lithuanians @ 2.28
9 91% Samaritians (Behar) + 9% Lithuanian (Dodecad) @ 2.28
10 85.2% Samaritians (Behar) + 14.8% Bulgarian (Dodecad) @ 2.35
11 90.2% Samaritians (Behar) + 9.8% Polish (Dodecad) @ 2.36
12 90.9% Samaritians (Behar) + 9.1% FIN30 (1000Genomes) @ 2.37
13 91% Samaritians (Behar) + 9% Finnish (Dodecad) @ 2.39
14 85.6% Samaritians (Behar) + 14.4% Bulgarians (Yunusbayev) @ 2.4
15 88.8% Samaritians (Behar) + 11.2% Hungarians (Behar) @ 2.45
16 90.6% Samaritians (Behar) + 9.4% Swedish (Dodecad) @ 2.47
17 90.1% Samaritians (Behar) + 9.9% Argyll (1000 Genomes) @ 2.5
18 79.1% Samaritians (Behar) + 20.9% Greek (Dodecad) @ 2.54
19 58.8% Cypriots (Behar) + 41.2% Saudis (Behar) @ 2.54
20 90.6% Samaritians (Behar) + 9.4% Norwegian (Dodecad) @ 2.55
World9 4-Ancestors Oracle
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Druze @ 5.995
2 Lebanese @ 7.054
3 Palestinian @ 7.114
4 Syrians @ 8.094
5 Jordanians @ 8.702
6 Samaritians @ 8.836
7 Cypriots @ 10.929
8 Georgia_Jews @ 11.891
9 Iraq_Jews @ 14.854
10 Saudis @ 14.860
250 iterations.
Using 2 populations approximation:
1 50% Cypriots +50% Samaritians @ 2.044
2 50% Lebanese +50% Samaritians @ 3.503
3 50% Cypriots +50% Saudis @ 3.733
4 50% Turkish +50% Yemen_Jews @ 3.862
5 50% Druze +50% Palestinian @ 4.309
6 50% Armenians +50% Yemen_Jews @ 4.755
7 50% Druze +50% Samaritians @ 4.780
8 50% Cypriots +50% Yemen_Jews @ 4.862
9 50% Samaritians +50% Syrians @ 4.913
10 50% Turks +50% Yemen_Jews @ 5.272
31375 iterations.
Using 3 populations approximation:
1 50% Samaritians +25% Georgia_Jews +25% Morocco_Jews @ 0.955
2 50% Samaritians +25% Druze +25% Sephardic_Jews @ 1.381
3 50% Samaritians +25% Cypriots +25% Lebanese @ 1.422
4 50% Samaritians +25% Sephardic_Jews +25% Syrians @ 1.474
5 50% Samaritians +25% Iraq_Jews +25% Morocco_Jews @ 1.519
6 50% Druze +25% Cypriots +25% Yemen_Jews @ 1.569
7 50% Cypriots +25% Samaritians +25% Saudis @ 1.601
8 50% Samaritians +25% Georgia_Jews +25% Sephardic_Jews @ 1.620
9 50% Samaritians +25% Druze +25% Morocco_Jews @ 1.627
10 50% Samaritians +25% Assyrian +25% Morocco_Jews @ 1.636
441123 iterations.
Using 4 populations approximation:
1 Georgia_Jews + Morocco_Jews + Samaritians + Samaritians @ 0.955
2 Armenian + Samaritians + Sephardic_Jews + Yemen_Jews @ 1.016
3 Armenian + Morocco_Jews + Samaritians + Yemen_Jews @ 1.090
4 Sicilian + Iranian_Jews + Samaritians + Yemen_Jews @ 1.114
5 Morocco_Jews + Samaritians + Yemen_Jews + Armenians @ 1.114
6 S_Italian_Sicilian + Iranian_Jews + Samaritians + Yemen_Jews @ 1.146
7 S_Italian_Sicilian + Iraq_Jews + Samaritians + Yemen_Jews @ 1.149
8 S_Italian + Iraq_Jews + Samaritians + Yemen_Jews @ 1.153
9 Samaritians + Sephardic_Jews + Yemen_Jews + Armenians @ 1.201
10 S_Italian + Iranian_Jews + Samaritians + Yemen_Jews @ 1.243
11 Assyrian + S_Italian + Samaritians + Yemen_Jews @ 1.251
12 Sicilian + Iraq_Jews + Samaritians + Yemen_Jews @ 1.303
13 Ashkenazy_Jews + Iraq_Jews + Samaritians + Yemen_Jews @ 1.363
14 Assyrian + S_Italian_Sicilian + Samaritians + Yemen_Jews @ 1.374
15 Druze + Samaritians + Samaritians + Sephardic_Jews @ 1.381
16 Ashkenazi + Assyrian + Samaritians + Yemen_Jews @ 1.401
17 Ashkenazy_Jews + Iranian_Jews + Samaritians + Yemen_Jews @ 1.402
18 S_Italian + Azerbaijan_Jews + Samaritians + Yemen_Jews @ 1.422
19 Cypriots + Lebanese + Samaritians + Samaritians @ 1.422
20 S_Italian + Iraq_Jews + Samaritians + Saudis @ 1.430
1199208 iterations.
Done.
Elapsed time 0.9314 seconds.
World9 Oracle-X Population Fitting
Pct. Calc. Option 1
1 Yemen_Jews 45.31%
2 Armenians 26.40%
3 Cypriots 17.33%
4 Sephardic_Jews 8.12%
5 S_Italian 1.89%
6 Lebanese 0.94%
7 Tuscan 0.01%
8 Ashkenazi 0.00%
9 Turkish 0.00%
10 Turks 0.00%
Pct. Calc. Option 2
1 Samaritians 44.15%
2 Lebanese 22.37%
3 Yemen_Jews 12.57%
4 Romanians 4.65%
5 Mordovians 4.53%
6 Iraq_Jews 4.26%
7 Uzbekistan_Jews 3.93%
8 Turkish 2.97%
9 Morocco_Jews 0.56%
10 Hungarians 0.01%
World9 Oracle
Admix Results (sorted):
# Population Percent
1 Atlantic_Baltic 68.76
2 Southern 14.5
3 Caucasus_Gedrosia 13.9
4 South_Asian 1.17
5 Amerindian 0.97
6 African 0.44
7 Australasian 0.26
Single Population Sharing:
# Population (source) Distance
1 Hungarians (Behar) 2.16
2 French (HGDP) 4.92
3 Mixed_Germanic (Dodecad) 5.1
4 Dutch (Dodecad) 5.88
5 French (Dodecad) 6.3
6 German (Dodecad) 6.46
7 CEU30 (1000Genomes) 7.03
8 Cornwall (1000 Genomes) 7.36
9 Kent (1000 Genomes) 7.5
10 British (Dodecad) 7.65
11 Ukranians (Yunusbayev) 8.5
12 British_Isles (Dodecad) 8.63
13 Argyll (1000 Genomes) 9.05
14 Irish (Dodecad) 9.37
15 Orcadian (HGDP) 9.58
16 Orkney (1000 Genomes) 10.02
17 Polish (Dodecad) 10.79
18 Cataluna (1000 Genomes) 12.24
19 Belorussian (Behar) 12.55
20 Russian_B (Behar) 13.24
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 86.6% Orcadian (HGDP) + 13.4% Lebanese (Behar) @ 0.67
2 87% Orcadian (HGDP) + 13% Syrians (Behar) @ 0.69
3 89.3% Argyll (1000 Genomes) + 10.7% Saudis (Behar) @ 0.71
4 89.7% Argyll (1000 Genomes) + 10.3% Yemen_Jews (Behar) @ 0.75
5 86.5% Orkney (1000 Genomes) + 13.5% Syrians (Behar) @ 0.78
6 90.2% CEU30 (1000Genomes) + 9.8% Druze (HGDP) @ 0.79
7 87.1% Orcadian (HGDP) + 12.9% Druze (HGDP) @ 0.8
8 86.1% Orkney (1000 Genomes) + 13.9% Lebanese (Behar) @ 0.82
9 90.2% CEU30 (1000Genomes) + 9.8% Syrians (Behar) @ 0.83
10 84.2% Argyll (1000 Genomes) + 15.8% Morocco_Jews (Behar) @ 0.84
11 90.4% CEU30 (1000Genomes) + 9.6% Georgia_Jews (Behar) @ 0.85
12 83.8% Argyll (1000 Genomes) + 16.2% Sephardic_Jews (Behar) @ 0.87
13 91% CEU30 (1000Genomes) + 9% Iraq_Jews (Behar) @ 0.88
14 86.6% Orkney (1000 Genomes) + 13.4% Druze (HGDP) @ 0.88
15 80.9% Argyll (1000 Genomes) + 19.1% Sicilian (Dodecad) @ 0.91
16 87.3% Orcadian (HGDP) + 12.7% Palestinian (HGDP) @ 0.91
17 89.9% CEU30 (1000Genomes) + 10.1% Lebanese (Behar) @ 0.92
18 87.6% Irish (Dodecad) + 12.4% Palestinian (HGDP) @ 0.92
19 85.2% Orcadian (HGDP) + 14.8% Cypriots (Behar) @ 0.94
20 81.4% Argyll (1000 Genomes) + 18.6% Ashkenazi (Dodecad) @ 0.95
World9 4-Ancestors Oracle
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Hungarians @ 3.188
2 Mixed_Germanic @ 4.326
3 Dutch @ 5.202
4 French @ 5.217
5 German @ 5.878
6 French @ 6.683
7 CEU30 @ 6.697
8 Cornwall @ 6.910
9 Kent @ 6.991
10 British @ 7.260
250 iterations.
Using 2 populations approximation:
1 50% N_Italian +50% Lithuanians @ 1.499
2 50% North_Italian +50% Lithuanians @ 1.568
3 50% Lithuanian +50% N_Italian @ 1.722
4 50% Lithuanian +50% North_Italian @ 1.913
5 50% Mixed_Germanic +50% Hungarians @ 2.047
6 50% Dutch +50% Hungarians @ 2.513
7 50% German +50% Hungarians @ 2.800
8 50% French +50% Ukranians @ 2.862
9 50% French +50% Ukranians @ 2.872
10 50% French +50% Hungarians @ 2.887
31375 iterations.
Using 3 populations approximation:
1 50% Mixed_Germanic +25% TSI30 +25% Lithuanians @ 1.172
2 50% Kent +25% Dutch +25% Bulgarians @ 1.179
3 50% Mixed_Germanic +25% Tuscan +25% Lithuanians @ 1.203
4 50% Kent +25% German +25% Bulgarians @ 1.214
5 50% Kent +25% Bulgarian +25% Kent @ 1.218
6 50% Kent +25% German +25% Bulgarian @ 1.256
7 50% Kent +25% Dutch +25% Bulgarian @ 1.260
8 50% Kent +25% C_Italian +25% Lithuanians @ 1.265
9 50% Kent +25% Bulgarian +25% Cornwall @ 1.267
10 50% Irish +25% Polish +25% Tuscan @ 1.277
864601 iterations.
Using 4 populations approximation:
1 Mixed_Germanic + Mixed_Germanic + TSI30 + Lithuanians @ 1.172
2 Dutch + Kent + Kent + Bulgarians @ 1.179
3 Mixed_Germanic + Dutch + Tuscan + Lithuanians @ 1.191
4 Mixed_Germanic + Dutch + TSI30 + Lithuanians @ 1.200
5 Mixed_Germanic + Mixed_Germanic + Tuscan + Lithuanians @ 1.203
6 German + Kent + Kent + Bulgarians @ 1.214
7 Bulgarian + Kent + Kent + Kent @ 1.218
8 Irish + Mixed_Germanic + Kent + Bulgarians @ 1.219
9 Dutch + Kent + Cornwall + Bulgarians @ 1.225
10 Irish + Mixed_Germanic + Bulgarian + Kent @ 1.235
11 German + Kent + Cornwall + Bulgarians @ 1.247
12 German + Mixed_Germanic + Tuscan + Lithuanians @ 1.247
13 Irish + Mixed_Germanic + Cornwall + Bulgarians @ 1.252
14 German + Bulgarian + Kent + Kent @ 1.256
15 Dutch + Bulgarian + Kent + Kent @ 1.260
16 C_Italian + Lithuanians + Kent + Kent @ 1.265
17 Bulgarian + Kent + Kent + Cornwall @ 1.267
18 British_Isles + Dutch + Bulgarian + Kent @ 1.269
19 Irish + Mixed_Germanic + Bulgarian + Cornwall @ 1.275
20 British_Isles + Dutch + Kent + Bulgarians @ 1.277
2887164 iterations.
Done.
Elapsed time 2.5030 seconds.
World9 Oracle-X Population Fitting
Pct. Calc. Option 1
1 Hungarians 89.65%
2 French_Basque 9.02%
3 Brahmins_from_Uttar_Pradesh 0.76%
4 Colombian 0.51%
5 MEX30 0.05%
6 Dominican 0.01%
7 PUR30 0.00%
8 Brazilian 0.00%
9 CLM30 0.00%
10 Puerto_Rican 0.00%
Pct. Calc. Option 2
0 Unable to determine 0.01%
1 Hungarians 86.51%
2 Lithuanian 4.18%
3 Brazilian 3.49%
4 Sardinian 2.60%
5 French_Basque 2.07%
6 Colombian 1.08%
7 PUR30 0.03%
8 CLM30 0.02%
9 Mozabite 0.01%
10 Puerto_Rican 0.00%
World9 Oracle
Admix Results (sorted):
# Population Percent
1 Atlantic_Baltic 39.49
2 Southern 32.35
3 Caucasus_Gedrosia 24.5
4 African 1.72
5 South_Asian 1.52
6 Amerindian 0.2
7 Australasian 0.19
8 Siberian 0.03
Single Population Sharing:
# Population (source) Distance
1 Greek (Dodecad) 3.08
2 C_Italian (Dodecad) 5.21
3 Ashkenazy_Jews 5.9
4 Sicilian (Dodecad) 6.41
5 S_Italian_Sicilian (Dodecad) 6.62
6 O_Italian (Dodecad) 6.76
7 S_Italian (Dodecad) 7.22
8 Ashkenazi (Dodecad) 7.56
9 Tuscan (HGDP) 9.95
10 TSI30 (Metspalu) 10.82
11 Sephardic_Jews (Behar) 14.63
12 Romanians (Behar) 15.54
13 Bulgarian (Dodecad) 15.58
14 Morocco_Jews (Behar) 16.33
15 Bulgarians (Yunusbayev) 16.65
16 North_Italian (HGDP) 18.52
17 N_Italian (Dodecad) 18.55
18 Turkish (Dodecad) 21.46
19 Canarias (1000 Genomes) 22.31
20 Cypriots (Behar) 22.64
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 57.6% Portuguese (Dodecad) + 42.4% Uzbekistan_Jews @ 0.73
2 58% Extremadura (1000 Genomes) + 42% Uzbekistan_Jews @ 0.79
3 59.6% Extremadura (1000 Genomes) + 40.4% Azerbaijan_Jews @ 0.91
4 57.2% Galicia (1000 Genomes) + 42.8% Uzbekistan_Jews @ 0.97
5 57.6% Portuguese (Dodecad) + 42.4% Armenian (Dodecad) @ 1.08
6 58.6% Andalucia (1000 Genomes) + 41.4% Uzbekistan_Jews @ 1.1
7 50.6% Syrians (Behar) + 49.4% French (Dodecad) @ 1.12
8 91% C_Italian (Dodecad) + 9% Makrani @ 1.14
9 58.1% Portuguese (Dodecad) + 41.9% Armenians (Yunusbayev) @ 1.14
10 58.7% Galicia (1000 Genomes) + 41.3% Azerbaijan_Jews @ 1.15
11 56.1% Castilla_Y_Leon (1000 Genomes) + 43.9% Uzbekistan_Jews @ 1.15
12 59.2% Portuguese (Dodecad) + 40.8% Azerbaijan_Jews @ 1.21
13 59.4% Extremadura (1000 Genomes) + 40.6% Assyrian (Dodecad) @ 1.27
14 56% Canarias (1000 Genomes) + 44% Armenians (Behar) @ 1.33
15 56.5% Castilla_La_Mancha (1000 Genomes) + 43.5% Uzbekistan_Jews @ 1.34
16 84.7% O_Italian (Dodecad) + 15.3% Iranians (Behar) @ 1.4
17 58.1% Extremadura (1000 Genomes) + 41.9% Armenian (Dodecad) @ 1.41
18 60.7% Murcia (1000 Genomes) + 39.3% Armenians (Yunusbayev) @ 1.44
19 63.1% N_Italian (Dodecad) + 36.9% Syrians (Behar) @ 1.47
20 58.5% Galicia (1000 Genomes) + 41.5% Assyrian (Dodecad) @ 1.5
World9 4-Ancestors Oracle
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Greek @ 3.014
2 C_Italian @ 5.602
3 Ashkenazy_Jews @ 6.390
4 Sicilian @ 6.844
5 S_Italian_Sicilian @ 7.082
6 O_Italian @ 7.480
7 S_Italian @ 7.752
8 Ashkenazi @ 8.162
9 Tuscan @ 10.998
10 TSI30 @ 11.976
250 iterations.
Using 2 populations approximation:
1 50% French +50% Syrians @ 1.364
2 50% French +50% Syrians @ 1.542
3 50% French +50% Druze @ 1.641
4 50% Druze +50% French @ 1.653
5 50% Romanians +50% Sephardic_Jews @ 1.712
6 50% CEU30 +50% Samaritians @ 2.264
7 50% Samaritians +50% Argyll @ 2.282
8 50% Azerbaijan_Jews +50% Pais_Vasco @ 2.282
9 50% Bulgarian +50% Sephardic_Jews @ 2.315
10 50% French_Basque +50% Azerbaijan_Jews @ 2.352
31375 iterations.
Using 3 populations approximation:
1 50% Cornwall +25% Iraq_Jews +25% Saudis @ 0.827
2 50% Sicilian +25% Syrians +25% Argyll @ 0.915
3 50% Sicilian +25% Irish +25% Syrians @ 0.949
4 50% S_Italian_Sicilian +25% Syrians +25% Orkney @ 0.954
5 50% Tuscan +25% Romanians +25% Syrians @ 0.957
6 50% French +25% Druze +25% Syrians @ 0.965
7 50% Mixed_Germanic +25% Georgia_Jews +25% Saudis @ 0.972
8 50% Kent +25% Iraq_Jews +25% Saudis @ 0.984
9 50% Sicilian +25% Orcadian +25% Syrians @ 0.987
10 50% S_Italian_Sicilian +25% Orcadian +25% Syrians @ 0.997
955726 iterations.
Using 4 populations approximation:
1 S_Italian_Sicilian + Kurd + North_Italian + Canarias @ 0.792
2 S_Italian + North_Italian + Canarias + Kurds @ 0.796
3 Sicilian + North_Italian + Canarias + Kurds @ 0.808
4 S_Italian_Sicilian + North_Italian + Canarias + Kurds @ 0.810
5 Kurd + S_Italian + North_Italian + Canarias @ 0.813
6 Iraq_Jews + Saudis + Cornwall + Cornwall @ 0.827
7 Dutch + Druze + Spaniards + Syrians @ 0.847
8 Sicilian + Kurd + North_Italian + Canarias @ 0.848
9 Sicilian + S_Italian + Syrians + Orkney @ 0.854
10 British_Isles + Druze + Syrians + Baleares @ 0.866
11 Spanish + Armenians + Syrians + Cataluna @ 0.867
12 Dutch + Druze + Syrians + Valencia @ 0.870
13 Assyrian + French + Saudis + Orkney @ 0.872
14 Mixed_Germanic + Druze + Syrians + Cataluna @ 0.876
15 Armenians + Syrians + Aragon + Cataluna @ 0.880
16 Palestinian + Iraq_Jews + Orkney + Cataluna @ 0.883
17 C_Italian + Sephardic_Jews + Syrians + Argyll @ 0.883
18 Assyrian + Dutch + Palestinian + Aragon @ 0.889
19 Sicilian + S_Italian + Orcadian + Syrians @ 0.889
20 Armenians + Syrians + Valencia + Cataluna @ 0.890
2890556 iterations.
Done.
Elapsed time 2.3630 seconds.
World9 Oracle-X Population Fitting
Pct. Calc. Option 1
1 Greek 89.27%
2 Sicilian 3.85%
3 Finnish 1.81%
4 Brazilian 1.72%
5 MALAYAN 1.42%
6 Biaka_Pygmies 1.11%
7 Dominican 0.73%
8 Bnei_Menashe_Jews 0.09%
9 Puerto_Rican 0.00%
10 PUR30 0.00%
Pct. Calc. Option 2
0 Unable to determine 0.01%
1 Greek 76.16%
2 FIN30 7.08%
3 Bnei_Menashe_Jews 4.79%
4 Dominican 3.93%
5 Yemen_Jews 3.93%
6 Egyptans 3.09%
7 Brazilian 1.00%
8 Moroccans 0.01%
9 Biaka_Pygmies 0.00%
10 Malayan 0.00%
World9
Population
Amerindian 0.64%
Atlantic_Baltic 79.61%
Australasian 0.53%
Siberian 2.66%
Caucasus_Gedrosia 12.42%
Southern 4.10%
'Oracle v1'
Single Population Sharing:
# Population (source) Distance
1 Belorussian (Behar) 2.01
2 Swedish (Dodecad) 3.04
3 Polish (Dodecad) 3.61
4 Norwegian (Dodecad) 3.97
5 Russian_B (Behar) 4.11
6 Russian (Dodecad) 5.2
7 Lithuanian (Dodecad) 5.25
8 Lithuanians 5.31
9 Argyll (1000 Genomes) 5.95
10 Irish (Dodecad) 6.28
11 Orkney (1000 Genomes) 6.3
12 Orcadian (HGDP) 6.4
13 Ukranians (Yunusbayev) 6.98
14 FIN30 (1000Genomes) 7.45
15 Finnish (Dodecad) 7.78
16 British_Isles (Dodecad) 7.84
17 British (Dodecad) 8.31
18 CEU30 (1000Genomes) 8.38
19 German (Dodecad) 8.47
20 Kent (1000 Genomes) 8.6
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 75.2% Belorussian (Behar) + 24.8% Lithuanian (Dodecad) @ 1.08
2 75.4% Belorussian (Behar) + 24.6% Lithuanians @ 1.08
3 73% Lithuanians + 27% Hungarians (Behar) @ 1.27
4 57.4% Lithuanian (Dodecad) + 42.6% Ukranians (Yunusbayev) @ 1.27
5 83.2% Belorussian (Behar) + 16.8% Finnish (Dodecad) @ 1.28
6 94.7% Lithuanians + 5.3% Yemen_Jews (Behar) @ 1.3
7 94.5% Lithuanians + 5.5% Saudis (Behar) @ 1.33
8 83.1% Belorussian (Behar) + 16.9% FIN30 (1000Genomes) @ 1.34
9 92.3% Lithuanians + 7.7% Morocco_Jews (Behar) @ 1.34
10 57.1% Lithuanians + 42.9% Ukranians (Yunusbayev) @ 1.35
11 91.2% Lithuanians + 8.8% Ashkenazi (Dodecad) @ 1.35
12 90.9% Lithuanians + 9.1% Ashkenazy_Jews @ 1.35
13 94.4% Lithuanians + 5.6% Bedouin (HGDP) @ 1.36
14 73.3% Lithuanian (Dodecad) + 26.7% Hungarians (Behar) @ 1.36
15 85.4% Lithuanian (Dodecad) + 14.6% Bulgarians (Yunusbayev) @ 1.37
16 92.2% Lithuanians + 7.8% Sephardic_Jews (Behar) @ 1.38
17 91% Lithuanian (Dodecad) + 9% Ashkenazy_Jews @ 1.38
18 85.9% Lithuanian (Dodecad) + 14.1% Bulgarian (Dodecad) @ 1.39
19 91.3% Lithuanian (Dodecad) + 8.7% Ashkenazi (Dodecad) @ 1.39
20 91% Lithuanians + 9% Sicilian (Dodecad) @ 1.4
4-Ancestors Oracle
Using 1 population approximation:
1 Belorussian @ 2.994
2 Swedish @ 3.284
3 Norwegian @ 4.234
4 Polish @ 4.454
5 Lithuanians @ 5.128
6 Lithuanian @ 5.141
7 Russian_B @ 5.464
8 Russian @ 6.488
9 Argyll @ 6.768
10 Orkney @ 6.973
250 iterations.
Using 2 populations approximation:
1 50% Polish +50% Lithuanians @ 1.416
2 50% Polish +50% Lithuanian @ 1.587
3 50% Belorussian +50% Lithuanians @ 1.813
4 50% Lithuanian +50% Belorussian @ 1.893
5 50% Lithuanians +50% Argyll @ 2.153
6 50% Swedish +50% Belorussian @ 2.297
7 50% Lithuanians +50% Ukranians @ 2.337
8 50% Lithuanian +50% Ukranians @ 2.380
9 50% Lithuanian +50% Argyll @ 2.410
10 50% Irish +50% Lithuanians @ 2.432
31375 iterations.
Using 3 populations approximation:
1 50% Lithuanians +25% Norwegian +25% Ukranians @ 1.105
2 50% Lithuanians +25% Russian +25% Irish @ 1.107
3 50% Lithuanians +25% Russian +25% British_Isles @ 1.133
4 50% Lithuanians +25% Russian +25% Kent @ 1.140
5 50% Lithuanians +25% Swedish +25% Ukranians @ 1.158
6 50% Lithuanians +25% Russian +25% Orkney @ 1.170
7 50% Lithuanians +25% Russian +25% Argyll @ 1.190
8 50% Lithuanians +25% British +25% Russian @ 1.194
9 50% Lithuanians +25% Russian +25% Orcadian @ 1.205
10 50% Lithuanians +25% Russian +25% Cornwall @ 1.238
214532 iterations.
Using 4 populations approximation:
1 Norwegian + Lithuanians + Lithuanians + Ukranians @ 1.105
2 Russian + Irish + Lithuanians + Lithuanians @ 1.107
3 Russian + British_Isles + Lithuanians + Lithuanians @ 1.133
4 Russian + Lithuanians + Lithuanians + Kent @ 1.140
5 Swedish + Lithuanians + Lithuanians + Ukranians @ 1.158
6 Russian + Lithuanians + Lithuanians + Orkney @ 1.170
7 Russian + Lithuanians + Lithuanians + Argyll @ 1.190
8 British + Russian + Lithuanians + Lithuanians @ 1.194
9 Russian + Orcadian + Lithuanians + Lithuanians @ 1.205
10 Norwegian + Lithuanian + Lithuanians + Ukranians @ 1.223
11 Russian + Lithuanians + Lithuanians + Cornwall @ 1.238
12 Swedish + Belorussian + Belorussian + Lithuanians @ 1.259
13 Russian + Irish + Lithuanian + Lithuanians @ 1.264
14 Swedish + Lithuanian + Lithuanians + Ukranians @ 1.271
15 Russian + German + Lithuanians + Lithuanians @ 1.274
16 Irish + Lithuanians + Lithuanians + Russian_B @ 1.275
17 Lithuanians + Lithuanians + Russian_B + Kent @ 1.276
18 British_Isles + Lithuanians + Lithuanians + Russian_B @ 1.281
19 Norwegian + Belorussian + Belorussian + Lithuanians @ 1.292
20 Russian + CEU30 + Lithuanians + Lithuanians @ 1.308
2395052 iterations.
Oracle-x
Pct. Calc. Option 1
1 Belorussian 63.83%
2 Lithuanians 20.69%
3 Finnish 9.87%
4 Kent 2.72%
5 Orkney 2.64%
6 Aleut 0.25%
7 Irish 0.00%
8 Argyll 0.00%
9 Orcadian 0.00%
10 German 0.00%
Pct. Calc. Option 2
1 Belorussian 68.30%
2 Lithuanians 15.94%
3 Finnish 15.00%
4 CLM30 0.44%
5 PUR30 0.32%
6 AthabaskHD4 0.00%
7 Aleut 0.00%
8 Puerto_Rican 0.00%
9 C_Italian 0.00%
10 Sicilian 0.00%
How is it possible that some the European members are getting a tiny bit of Amerindian in their results???:confused: Is it noise?
My World9:
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
4 Ancestor Oracle
Using 1 population approximation:
1 Hungarians @ 4.046
2 French @ 7.449
3 French @ 8.919
4 Mixed_Germanic @ 9.519
5 Dutch @ 10.233
6 German @ 10.909
7 Ukranians @ 11.612
8 CEU30 @ 11.781
9 Cornwall @ 12.138
10 Kent @ 12.214
250 iterations.
Using 2 populations approximation:
1 50% Argyll +50% Bulgarians @ 1.628
2 50% Irish +50% Bulgarians @ 1.655
3 50% Irish +50% Bulgarian @ 1.756
4 50% Orcadian +50% Bulgarians @ 1.826
5 50% Bulgarian +50% Orcadian @ 1.867
6 50% Bulgarian +50% Argyll @ 1.872
7 50% Bulgarian +50% Orkney @ 1.877
8 50% O_Italian +50% Lithuanians @ 1.916
9 50% Orkney +50% Bulgarians @ 1.957
10 50% Tuscan +50% Lithuanians @ 1.973
31375 iterations.
Using 3 populations approximation:
1 50% Lithuanians +25% Greek +25% N_Italian @ 1.514
2 50% Dutch +25% Polish +25% Greek @ 1.552
3 50% Bulgarians +25% Irish +25% Argyll @ 1.617
4 50% Lithuanians +25% Greek +25% North_Italian @ 1.619
5 50% Argyll +25% Bulgarians +25% Bulgarians @ 1.628
6 50% Bulgarians +25% Argyll +25% Argyll @ 1.628
7 50% Irish +25% Bulgarians +25% Bulgarians @ 1.655
8 50% Bulgarians +25% Irish +25% Irish @ 1.655
9 50% Polish +25% Dutch +25% S_Italian @ 1.660
10 50% Irish +25% Bulgarian +25% Bulgarians @ 1.669
993451 iterations.
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
Oracle X Option 1
Pct. Calc. Option 1
1 Hungarians 91.50%
2 S_Italian_Sicilian 5.60%
3 Georgians 2.24%
4 Greek 0.66%
5 Sephardic_Jews 0.00%
6 S_Italian 0.00%
7 PUR30 0.00%
8 Puerto_Rican 0.00%
9 Yemenese 0.00%
10 Morocco_Jews 0.00%
Option 2
Pct. Calc. Option 2
1 Hungarians 76.07%
2 Pais_Vasco 9.03%
3 Iranian_Jews 7.60%
4 Lithuanians 4.68%
5 Lithuanian 1.10%
6 Brazilian 1.07%
7 Bulgarians 0.39%
8 Armenians 0.04%
9 PUR30 0.02%
10 Yemenese 0.00%