My results:
Population
E_Eurasian 2.83
SSA -
W_Eurasian 97.17
Printable View
My results:
Population
E_Eurasian 2.83
SSA -
W_Eurasian 97.17
Admix Results (sorted):
# Population Percent
1 W_Eurasian 89.09
2 E_Eurasian 8.72
3 SSA 2.19
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Kurd_C @ 1.255866
2 Adygei @ 2.309743
3 Iranian @ 2.690740
4 Mordovian @ 2.967991
5 Finnish @ 3.086795
6 Russian @ 3.325929
7 Chechen @ 3.348945
8 Turkish @ 3.412684
9 Kurd_N @ 3.731224
10 Balkar @ 4.520330
11 Loschbour @ 5.871873
12 Abkhasian @ 6.096331
13 Georgian_Jew @ 6.217675
14 Estonian @ 6.795445
15 Iranian_Jew @ 7.228958
16 Belarusian @ 7.410016
17 Assyrian @ 8.159616
18 Armenian @ 8.194392
19 Ukrainian @ 8.258773
20 Georgian @ 8.297025
Using 2 populations approximation:
1 50% Chechen +50% Iranian @ 0.434537
2 50% Kurd_N +50% Turkish @ 0.513736
3 50% Brahui +50% LBK_EN @ 0.615748
4 50% Brahui +50% Sardinian @ 0.661277
5 50% Brahui +50% Stuttgart @ 0.724813
6 50% Iranian +50% Kurd_N @ 0.785241
7 50% Balochi +50% LBK_EN @ 0.816634
8 50% Balochi +50% Sardinian @ 0.859453
9 50% Balochi +50% Stuttgart @ 0.886264
10 50% Kurd_C +50% Mordovian @ 0.896505
11 50% Finnish +50% Kurd_C @ 0.947539
12 50% Bergamo +50% Brahui @ 0.973845
13 50% Adygei +50% Iranian @ 1.003230
14 50% Adygei +50% Kurd_C @ 1.021242
15 50% English +50% Makrani @ 1.030442
16 50% Kurd_C +50% Russian @ 1.048289
17 50% Makrani +50% Stuttgart @ 1.088726
18 50% Brahui +50% French_South @ 1.106394
19 50% Balochi +50% Bergamo @ 1.188260
20 50% Bergamo +50% Makrani @ 1.197667
Using 3 populations approximation:
1 50% Adygei +25% Makrani +25% Spanish @ 0.000000
And here is my Oracle:
Admix Results (sorted):
# Population Percent
1 W_Eurasian 97.17
2 E_Eurasian 2.83
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Croatian @ 0.000000
2 Czech @ 0.000000
3 Norwegian @ 0.000000
4 Bulgarian @ 1.099220
5 Hungarian @ 1.103531
6 French @ 1.135428
7 Albanian @ 1.227328
8 Lithuanian @ 1.230162
9 English @ 1.599866
10 Greek @ 1.658701
11 Ukrainian @ 2.058187
12 Georgian @ 2.172696
13 French_South @ 2.423753
14 Bergamo @ 2.692518
15 Spanish @ 2.714826
16 Belarusian @ 2.980958
17 Armenian @ 3.105085
18 Sardinian @ 3.465115
19 LBK_EN @ 3.479711
20 Estonian @ 3.644648
Using 2 populations approximation:
1 50% Croatian +50% Croatian @ 0.000000
2 50% Croatian +50% Czech @ 0.000000
3 50% Croatian +50% Norwegian @ 0.000000
4 50% Czech +50% Czech @ 0.000000
5 50% Czech +50% Norwegian @ 0.000000
6 50% English +50% Hungarian @ 0.000000
7 50% English +50% Lithuanian @ 0.000000
8 50% English +50% Ukrainian @ 0.000000
9 50% Estonian +50% Stuttgart @ 0.000000
10 50% French +50% Hungarian @ 0.000000
11 50% French +50% Lithuanian @ 0.000000
12 50% Loschbour +50% Stuttgart @ 0.000000
13 50% Norwegian +50% Norwegian @ 0.000000
14 50% Abkhasian +50% Stuttgart @ 0.282500
15 50% French +50% Norwegian @ 0.403642
16 50% French_South +50% Ukrainian @ 0.408963
17 50% Belarusian +50% Bergamo @ 0.416538
18 50% Croatian +50% Hungarian @ 0.423283
19 50% Czech +50% Hungarian @ 0.462236
20 50% Albanian +50% Lithuanian @ 0.464825
Using 3 populations approximation:
1 50% Belarusian +25% Bergamo +25% Stuttgart @ 0.000000
Done.
Elapsed time 0.0066 seconds.
this calculator has the worst oracle I have seen so far
Probably because it has only 3 components.
This means that percentages of admixtures for a lot of populations overlap with each other.
But in your case it gave you "Kurd" correctly.
============================
It couldn't give me "Polish" because Poles are not among reference populations in this calc.
Ancestry
Spoiler!
FTDNA
Spoiler!
23andMe
Spoiler!
Father FTDNA
Spoiler!
Balkar! Mountain Tatar Pride!
# Population Percent
1 W_Eurasian 87.55
2 E_Eurasian 12.45
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Balkar @ 0.504597
2 Russian @ 1.718788
3 Turkish @ 2.167439
4 Finnish @ 2.193387
5 Mordovian @ 2.436488
6 Iranian @ 4.178128
7 Adygei @ 4.358091
8 Kurd_C @ 5.837679
9 Chechen @ 6.136294
10 Kurd_N @ 7.761588
11 Loschbour @ 8.952617
12 Abkhasian @ 9.515126
13 Estonian @ 9.972552
14 Georgian_Jew @ 10.328572
15 Tajik_Pomiri @ 10.463115
16 Belarusian @ 10.636243
17 Makrani @ 11.183908
18 Brahui @ 11.288568
19 Iranian_Jew @ 11.510012
20 Ukrainian @ 11.559348
Using 2 populations approximation:
1 50% Belarusian +50% Tajik_Pomiri @ 0.000000
2 50% English +50% Kalash @ 0.000000
3 50% Estonian +50% Tajik_Pomiri @ 0.000000
4 50% French +50% Kalash @ 0.309792
5 50% Balkar +50% Balkar @ 0.504597
6 50% Pathan +50% Stuttgart @ 0.543816
7 50% French_South +50% Kalash @ 0.556297
8 50% Tajik_Pomiri +50% Ukrainian @ 0.564382
9 50% Albanian +50% Kalash @ 0.622075
10 50% Bergamo +50% Kalash @ 0.636426
11 50% Pashtun_Afghan +50% Stuttgart @ 0.637476
12 50% Croatian +50% Kalash @ 0.677760
13 50% Abkhasian +50% Tajik_Pomiri @ 0.702835
14 50% Czech +50% Kalash @ 0.717261
15 50% Loschbour +50% Tajik_Pomiri @ 0.759360
16 50% Balkar +50% Russian @ 0.767217
17 50% Greek +50% Kalash @ 0.817213
18 50% Bergamo +50% Pashtun_Afghan @ 0.854952
19 50% Kalash +50% Norwegian @ 0.891689
20 50% Stuttgart +50% Tajik @ 0.902754
Using 3 populations approximation:
1 50% Belarusian +25% Burusho +25% Estonian @ 0.000000
Admix Results (sorted):
# Population Percent
1 W_Eurasian 86.92
2 E_Eurasian 11.66
3 SSA 1.41
# Population Percent
1 W_Eurasian 96.51
2 E_Eurasian 3.49
Population
E_Eurasian 2.81
SSA 0.67
W_Eurasian 96.52
Least-squares method.
Using 1 population approximation:
1 Bulgarian @ 0.000000
2 Norwegian @ 0.829121
3 Hungarian @ 0.954739
4 Croatian @ 0.978613
5 Czech @ 0.989051
6 Lithuanian @ 1.105336
7 Albanian @ 1.323648
8 Georgian @ 1.360264
9 Greek @ 1.509079
10 French @ 1.560475
11 Ukrainian @ 1.776104
12 English @ 2.145816
13 Armenian @ 2.175268
14 Spanish @ 2.285848
15 Belarusian @ 2.658024
16 French_South @ 2.761532
17 Bergamo @ 3.041129
18 Sicilian @ 3.147846
19 Assyrian @ 3.188940
20 Estonian @ 3.296124
Using 2 populations approximation:
1 50% Abkhasian +50% LBK_EN @ 0.000000
2 50% Albanian +50% Georgian @ 0.000000
3 50% Bulgarian +50% Bulgarian @ 0.000000
4 50% Croatian +50% Georgian @ 0.000000
5 50% Estonian +50% LBK_EN @ 0.000000
6 50% Estonian +50% Sardinian @ 0.000000
7 50% French +50% Georgian @ 0.000000
8 50% Greek +50% Ukrainian @ 0.000000
9 50% LBK_EN +50% Loschbour @ 0.250693
10 50% Loschbour +50% Sardinian @ 0.250693
11 50% Abkhasian +50% Sardinian @ 0.252949
12 50% Czech +50% Georgian @ 0.265941
13 50% Abkhasian +50% Bergamo @ 0.266443
14 50% Greek +50% Lithuanian @ 0.276459
15 50% Albanian +50% Ukrainian @ 0.288851
16 50% Greek +50% Hungarian @ 0.302155
17 50% Bulgarian +50% Norwegian @ 0.304901
18 50% Bergamo +50% Estonian @ 0.364751
19 50% Spanish +50% Ukrainian @ 0.376450
20 50% English +50% Georgian @ 0.400260
Using 3 populations approximation:
1 50% Abkhasian +25% Bergamo +25% LBK_EN @ 0.000000
adding oracle:
Using 1 population approximation:
1 Estonian @ 0.483368
2 Loschbour @ 0.536569
3 Abkhasian @ 0.690757
4 Belarusian @ 1.147057
5 Ukrainian @ 2.070395
6 Georgian @ 2.780237
7 Lithuanian @ 2.897853
8 Hungarian @ 3.026429
9 Norwegian @ 3.958960
10 Czech @ 4.309233
Using 2 populations approximation (closest):
1 50% Belarusian +50% Loschbour @ 0.000000
2 50% Estonian +50% Loschbour @ 0.000000
Results of a Czech guy:
Population
E_Eurasian 4.90
SSA -
W_Eurasian 95.10
Merged
Admix Results (sorted):
# Population Percent
1 W_Eurasian 97.65
2 E_Eurasian 2.35
Using 1 population approximation:
1 Croatian @ 0,417851
2 Czech @ 0,489285
3 French @ 0,564977
4 Norwegian @ 0,835161
5 Albanian @ 0,879886
6 English @ 0,935093
7 Greek @ 1,390035
8 Bulgarian @ 1,617652
9 Hungarian @ 1,78409
10 French_South @ 1,797553
11 Lithuanian @ 1,909188
12 Bergamo @ 2,058931
13 Spanish @ 2,534047
14 Georgian @ 2,73119
15 Ukrainian @ 2,736582
16 LBK_EN @ 2,878367
17 Sardinian @ 2,881284
18 Stuttgart @ 3,323401
19 Armenian @ 3,523719
20 Belarusian @ 3,64867
Using 2 populations approximation:
1 English+Norwegian @ 0,106689
Using 3 populations approximation:
1 50% Norwegian +25% Hungarian +25% Stuttgart @ 0,048657
Using 4 populations approximation:
1 Czech+Lithuanian+Norwegian+Stuttgart @ 0,027527
Eurasia K3 Oracle
Admix Results (sorted):
# Population Percent
1 W_Eurasian 97.68
2 E_Eurasian 2.32
Using 1 population approximation:
1 Croatian @ 0.449037
2 Czech @ 0.527978
3 French @ 0.535381
4 Albanian @ 0.846014
5 Norwegian @ 0.877758
6 English @ 0.893762
7 Greek @ 1.382965
8 Bulgarian @ 1.651831
9 French_South @ 1.761321
10 Hungarian @ 1.811529
11 Lithuanian @ 1.938718
12 Bergamo @ 2.020153
13 Spanish @ 2.523360
14 Georgian @ 2.762444
15 Ukrainian @ 2.766670
16 LBK_EN @ 2.845916
17 Sardinian @ 2.850145
18 Stuttgart @ 3.285388
19 Armenian @ 3.544691
20 Belarusian @ 3.689513
Using 2 populations approximation:
1 50% Belarusian +50% Stuttgart @ 0.000000
2 50% Croatian +50% English @ 0.000000
3 50% Croatian +50% French @ 0.000000
4 50% Czech +50% English @ 0.000000
5 50% Czech +50% French @ 0.000000
6 50% English +50% Norwegian @ 0.000000
7 50% Stuttgart +50% Ukrainian @ 0.000000
8 50% French +50% Norwegian @ 0.276489
9 50% Bergamo +50% Lithuanian @ 0.300550
10 50% French_South +50% Hungarian @ 0.338450
Using 3 populations approximation:
1 50% Belarusian +25% Stuttgart +25% Stuttgart @ 0.000000
Population
E_Eurasian 0.61
SSA -
W_Eurasian 99.39
Im having deja vu, I think we have done this before
Eurasia K3 Oracle
Admix Results (sorted):
# Population Percent
1 W_Eurasian 97.65
2 E_Eurasian 1.70
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Albanian @ 0.000000
2 French @ 0.306684
3 Greek @ 0.586669
4 English @ 0.770055
5 Croatian @ 1.098908
6 French_South @ 1.181693
7 Czech @ 1.206860
8 Bergamo @ 1.461228
9 Norwegian @ 1.506469
10 Spanish @ 1.703618
11 Bulgarian @ 1.833022
12 Sardinian @ 2.110715
13 LBK_EN @ 2.144414
14 Hungarian @ 2.336300
15 Lithuanian @ 2.487593
16 Georgian @ 2.884679
17 Stuttgart @ 2.970941
18 Ukrainian @ 3.269760
19 Sicilian @ 3.335459
20 Armenian @ 3.358150
Using 2 populations approximation:
1 50% Albanian +50% Albanian @ 0.000000
2 50% Albanian +50% English @ 0.000000
3 50% Albanian +50% French @ 0.000000
4 50% Bergamo +50% Bulgarian @ 0.000000
5 50% Bulgarian +50% French_South @ 0.000000
6 50% English +50% Greek @ 0.000000
7 50% French +50% Greek @ 0.000000
8 50% Georgian +50% Stuttgart @ 0.000000
9 50% Hungarian +50% LBK_EN @ 0.000000
10 50% Hungarian +50% Sardinian @ 0.000000
11 50% LBK_EN +50% Lithuanian @ 0.000000
12 50% Lithuanian +50% Sardinian @ 0.000000
13 50% Norwegian +50% Sardinian @ 0.000000
14 50% Bulgarian +50% LBK_EN @ 0.279466
15 50% LBK_EN +50% Norwegian @ 0.297295
16 50% French +50% French @ 0.306684
17 50% Czech +50% French_South @ 0.328134
18 50% Bergamo +50% Norwegian @ 0.333934
19 50% French_South +50% Norwegian @ 0.335184
20 50% Bulgarian +50% Sardinian @ 0.342066
Using 3 populations approximation:
1 50% Albanian +25% Albanian +25% Albanian @ 0.000000
Done.
Admix Results (sorted):
# Population Percent
1 W_Eurasian 91.46
2 E_Eurasian 5.61
3 SSA 2.93
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Kurd_N @ 1.358016
2 Georgian_Jew @ 2.467315
3 Kurd_C @ 2.969343
4 Iranian_Jew @ 3.265816
5 Abkhasian @ 3.447636
6 Chechen @ 3.562904
7 Loschbour @ 3.826229
8 Assyrian @ 4.213096
9 Estonian @ 4.286986
10 Armenian @ 4.422704
11 Ashkenazi_Jew @ 4.457489
12 Adygei @ 4.530931
13 Iraqi_Jew @ 4.641164
14 Belarusian @ 4.690450
15 Georgian @ 4.851931
16 Ukrainian @ 5.294257
17 Bulgarian @ 5.964775
18 Lithuanian @ 5.972202
19 Hungarian @ 6.019096
20 Sicilian @ 6.023978
Using 2 populations approximation:
1 50% Iranian_Jew +50% Kurd_C @ 0.000000
2 50% Iranian +50% Sicilian @ 0.291530
3 50% Cypriot +50% Iranian @ 0.386778
4 50% Georgian_Jew +50% Kurd_C @ 0.520899
5 50% Iranian +50% Spanish @ 0.539000
6 50% Cypriot +50% Turkish @ 0.616191
7 50% Assyrian +50% Kurd_C @ 0.622135
8 50% Ashkenazi_Jew +50% Kurd_C @ 0.741728
9 50% Sicilian +50% Turkish @ 0.799761
10 50% Armenian +50% Kurd_C @ 0.843274
11 50% Iraqi_Jew +50% Kurd_C @ 0.984034
12 50% Greek +50% Iranian @ 0.985403
13 50% Armenian +50% Iranian @ 0.985557
14 50% Adygei +50% Iraqi_Jew @ 1.010981
15 50% Assyrian +50% Iranian @ 1.030136
16 50% Ashkenazi_Jew +50% Iranian @ 1.030999
17 50% Iraqi_Jew +50% Mordovian @ 1.118858
18 50% Finnish +50% Iraqi_Jew @ 1.174897
19 50% Albanian +50% Iranian @ 1.217602
20 50% Bulgarian +50% Iranian @ 1.261964
Using 3 populations approximation:
1 50% Abkhasian +25% Adygei +25% Jordanian @ 0.000000
Its pretty accurate for me lmao
Slavic as fuck?
Gedrosia K3 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
Eurasia K3 Oracle
Admix Results (sorted):
# Population Percent 1 W_Eurasian 95.58 2 E_Eurasian 4.11
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Ukrainian @ 0.266598
2 Lithuanian @ 0.892325
3 Hungarian @ 0.948023
4 Georgian @ 1.012205
5 Belarusian @ 1.020804
6 Bulgarian @ 1.413211
7 Estonian @ 1.654596
8 Norwegian @ 1.900793
9 Abkhasian @ 2.099213
10 Czech @ 2.242939
11 Armenian @ 2.244860
12 Croatian @ 2.304972
13 Loschbour @ 2.657195
14 Georgian_Jew @ 2.903115
15 Albanian @ 2.947073
16 French @ 3.092871
17 Greek @ 3.146585
18 Assyrian @ 3.338048
19 Iranian_Jew @ 3.465069
20 English @ 3.634238
Using 2 populations approximation:
1 50% Abkhasian +50% Croatian @ 0.000000
2 50% Abkhasian +50% Czech @ 0.000000
3 50% Abkhasian +50% Norwegian @ 0.000000
4 50% Albanian +50% Loschbour @ 0.000000
5 50% Belarusian +50% Bulgarian @ 0.000000
6 50% Bulgarian +50% Estonian @ 0.000000
7 50% French +50% Loschbour @ 0.000000
8 50% Greek +50% Loschbour @ 0.000000
9 50% Georgian +50% Ukrainian @ 0.261802
10 50% Ukrainian +50% Ukrainian @ 0.266598
11 50% Belarusian +50% Hungarian @ 0.274848
12 50% Chechen +50% Stuttgart @ 0.290115
13 50% Estonian +50% Norwegian @ 0.304198
14 50% Belarusian +50% Lithuanian @ 0.313998
15 50% Belarusian +50% Georgian @ 0.334633
16 50% Bergamo +50% Chechen @ 0.355934
17 50% Croatian +50% Loschbour @ 0.367903
18 50% Czech +50% Loschbour @ 0.418353
19 50% Croatian +50% Estonian @ 0.464330
20 50% Estonian +50% Hungarian @ 0.466097
Using 3 populations approximation:
1 50% Abkhasian +25% Abkhasian +25% Stuttgart @ 0.000000
Done.
Elapsed time 0.0267 seconds.
E_Eurasian 94.50
SSA 0.23
W_Eurasian 5.27
# Population Percent
1 W_Eurasian 97.37
2 E_Eurasian 1.70
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Albanian @ 0.000000
2 Greek @ 0.000000
3 French @ 0.706746
4 English @ 1.171352
5 Croatian @ 1.223999
6 Czech @ 1.326062
7 Spanish @ 1.364143
8 French_South @ 1.438056
9 Norwegian @ 1.565774
10 Bulgarian @ 1.642673
11 Bergamo @ 1.707385
12 Sardinian @ 2.203750
13 LBK_EN @ 2.257231
14 Hungarian @ 2.284892
15 Lithuanian @ 2.442738
16 Georgian @ 2.633836
17 Sicilian @ 2.940033
18 Armenian @ 3.008214
19 Cypriot @ 3.085778
20 Ukrainian @ 3.178331
Using 2 populations approximation:
1 50% Albanian +50% Albanian @ 0.000000
2 50% Albanian +50% Greek @ 0.000000
3 50% Armenian +50% Stuttgart @ 0.000000
4 50% Bulgarian +50% LBK_EN @ 0.000000
5 50% Bulgarian +50% Sardinian @ 0.000000
6 50% Croatian +50% Spanish @ 0.000000
7 50% French +50% Greek @ 0.000000
8 50% Georgian +50% LBK_EN @ 0.000000
9 50% Greek +50% Greek @ 0.000000
10 50% Hungarian +50% Sardinian @ 0.254137
11 50% French +50% Spanish @ 0.256314
12 50% Czech +50% Spanish @ 0.257332
13 50% Bergamo +50% Bulgarian @ 0.279887
14 50% Bulgarian +50% French_South @ 0.281137
15 50% Lithuanian +50% Sardinian @ 0.293287
16 50% Hungarian +50% LBK_EN @ 0.316737
17 50% LBK_EN +50% Lithuanian @ 0.355887
18 50% English +50% Spanish @ 0.374481
19 50% Georgian +50% Sardinian @ 0.392192
20 50% Albanian +50% French @ 0.408987
OMG what a shitty calculator is this? Why they still keep holding such outdated calculators on gedmatch I don't understand.
# Population Percent
1 W_Eurasian 96.59
2 E_Eurasian 3.41
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Hungarian @ 0.000000
2 Lithuanian @ 0.407180
3 Norwegian @ 0.654063
4 Bulgarian @ 0.865889
5 Czech @ 1.004431
6 Croatian @ 1.089054
7 Ukrainian @ 1.235394
8 Georgian @ 1.611219
9 Albanian @ 1.902712
10 French @ 1.925371
11 Belarusian @ 2.157975
12 Greek @ 2.239966
13 English @ 2.421800
14 Armenian @ 2.747066
15 Estonian @ 2.821665
16 Spanish @ 3.149342
17 French_South @ 3.217927
18 Abkhasian @ 3.375628
19 Bergamo @ 3.491482
20 Assyrian @ 3.840616
Using 2 populations approximation:
1 50% Belarusian +50% French @ 0.000000
2 50% Belarusian +50% English @ 0.000000
3 50% Croatian +50% Ukrainian @ 0.000000
4 50% Czech +50% Lithuanian @ 0.000000
5 50% Czech +50% Ukrainian @ 0.000000
6 50% English +50% Estonian @ 0.000000
7 50% Hungarian +50% Hungarian @ 0.000000
8 50% Hungarian +50% Norwegian @ 0.000000
9 50% Lithuanian +50% Norwegian @ 0.000000
10 50% Norwegian +50% Ukrainian @ 0.000000
11 50% Hungarian +50% Lithuanian @ 0.262726
12 50% Croatian +50% Lithuanian @ 0.263433
13 50% Czech +50% Hungarian @ 0.284833
14 50% French +50% Ukrainian @ 0.324733
15 50% Croatian +50% Hungarian @ 0.328283
16 50% Estonian +50% French_South @ 0.396416
17 50% Lithuanian +50% Lithuanian @ 0.407180
18 50% Estonian +50% French @ 0.417419
19 50% Bergamo +50% Loschbour @ 0.425875
20 50% Bulgarian +50% Lithuanian @ 0.446770
Eurasia K3 Oracle
Admix Results (sorted):
# Population Percent
1 W_Eurasian 96.81
2 E_Eurasian 3.19
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Norwegian @ 0.255441
2 Hungarian @ 0.589023
3 Czech @ 0.697338
4 Lithuanian @ 0.714404
5 Croatian @ 0.782578
6 Bulgarian @ 0.850435
7 Ukrainian @ 1.542524
8 French @ 1.626652
9 Albanian @ 1.634839
10 Georgian @ 1.798200
11 Greek @ 2.004613
12 English @ 2.114871
13 Belarusian @ 2.465200
14 Armenian @ 2.850337
15 French_South @ 2.919591
16 Spanish @ 2.968821
17 Estonian @ 3.128890
18 Bergamo @ 3.191797
19 Abkhasian @ 3.676889
20 Assyrian @ 3.929721
Using 2 populations approximation:
1 50% Belarusian +50% English @ 0.000000
2 50% Croatian +50% Hungarian @ 0.000000
3 50% Croatian +50% Lithuanian @ 0.000000
4 50% Czech +50% Hungarian @ 0.000000
5 50% Czech +50% Lithuanian @ 0.000000
6 50% English +50% Ukrainian @ 0.000000
7 50% French +50% Ukrainian @ 0.000000
8 50% Hungarian +50% Norwegian @ 0.000000
9 50% Lithuanian +50% Norwegian @ 0.000000
10 50% Loschbour +50% Stuttgart @ 0.000000
11 50% Norwegian +50% Norwegian @ 0.255441
12 50% Bergamo +50% Estonian @ 0.300550
13 50% Croatian +50% Ukrainian @ 0.304367
14 50% Bulgarian +50% Norwegian @ 0.360400
15 50% Albanian +50% Ukrainian @ 0.376450
16 50% French +50% Lithuanian @ 0.388291
17 50% Estonian +50% French_South @ 0.394243
18 50% Belarusian +50% French @ 0.400009
19 50% Belarusian +50% French_South @ 0.408042
20 50% Czech +50% Ukrainian @ 0.423636
Using 3 populations approximation:
1 50% Belarusian +25% Bergamo +25% English @ 0.000000
Eurasia K3 Oracle
Admix Results (sorted):
# Population Percent
1 W_Eurasian 98.04
2 E_Eurasian 1.17
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 French_South @ 0.544571
2 English @ 0.793851
3 Bergamo @ 0.818068
4 Albanian @ 0.912440
5 French @ 0.913062
6 Greek @ 0.915557
7 Sardinian @ 1.438599
8 LBK_EN @ 1.466929
9 Spanish @ 1.664313
10 Croatian @ 1.743622
11 Czech @ 1.849957
12 Norwegian @ 2.167828
13 Stuttgart @ 2.412588
14 Bulgarian @ 2.487316
15 Hungarian @ 3.013787
16 Lithuanian @ 3.164556
17 Sicilian @ 3.454289
18 Georgian @ 3.504158
19 Cypriot @ 3.516274
20 Armenian @ 3.844924
Using 2 populations approximation:
1 50% Albanian +50% Bergamo @ 0.000000
2 50% Albanian +50% French_South @ 0.000000
3 50% Albanian +50% LBK_EN @ 0.000000
4 50% Albanian +50% Sardinian @ 0.000000
5 50% Bergamo +50% Greek @ 0.000000
6 50% Croatian +50% LBK_EN @ 0.000000
7 50% Croatian +50% Sardinian @ 0.000000
8 50% Czech +50% LBK_EN @ 0.000000
9 50% Czech +50% Sardinian @ 0.000000
10 50% French +50% Sardinian @ 0.000000
11 50% French_South +50% Greek @ 0.000000
12 50% French +50% LBK_EN @ 0.262123
13 50% LBK_EN +50% Norwegian @ 0.298231
14 50% Norwegian +50% Sardinian @ 0.298231
15 50% Bergamo +50% French @ 0.321059
16 50% French +50% French_South @ 0.322309
17 50% Greek +50% LBK_EN @ 0.503622
18 50% English +50% Greek @ 0.519813
19 50% English +50% French_South @ 0.535382
20 50% Bulgarian +50% Stuttgart @ 0.541845