Congolese Rice
03-27-2018, 04:04 PM
Because alot of people have been saying that i look very Latino or South American, i want to know if i could actually have Mediterranean ancestry IN my European ancestry, so still adding up to around 50-52%, only not having the whole european percentage that is 50-52% belonging to Western/Eastern European alone. Here are some tests, also keep in mind that a few percentages of my Mediterranean should be substracted and added to my total MENA ancestry as a good chunk of my Mediterranean (4-11%) Could actually be Eastern/Southern Med. East/South Med as in Berberid/North African, and or Levantine.
=========
MDLP World-22 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.
Admix Results (sorted):
# Population Percent
1 North-East-European 31.24
2 Sub-Saharian 24.23
3 Atlantic_Mediterranean_Neolithic 21.76
4 West-Asian 5.49
5 Near_East 4.65
6 North-European-Mesolithic 4.05
7 Samoedic 1.77
8 Indo-Iranian 1.67
9 South-America_Amerind 1.36
10 South-African 1.00
Finished reading population data. 276 populations found.
22 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Lumbee_derived @ 8.123425
2 Puerto-Rican_derived @ 24.093933
3 Romania_derived @ 29.779030
4 Bulgarian_derived @ 30.156420
5 Macedonian_derived @ 30.249891
6 Colville_derived @ 30.531342
7 Swiss_derived @ 30.552608
8 Gagauz_derived @ 30.677973
9 Serbian_derived @ 30.759493
10 Montenegrin_derived @ 30.802689
11 Tatar_derived @ 31.625250
12 German-South_derived @ 31.726393
13 Bosnian_derived @ 32.376545
14 Ashkenazim_V_derived @ 32.461517
15 Hungarian_derived @ 32.520847
16 Tatar_Lithuania_derived @ 32.521179
17 Italian_North_derived @ 32.601524
18 Tatar_Kryashen_derived @ 32.744736
19 Austrian_derived @ 32.833843
20 Provancestralal_derived @ 32.883274
Using 2 populations approximation:
1 50% Lumbee_derived +50% Lumbee_derived @ 8.123425
Using 3 populations approximation:
1 50% German_derived +25% Lemba_derived +25% Puerto-Rican_derived @ 2.805600
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +
1 German-South_derived + Lemba_derived + Puerto-Rican_derived + Russian_North_derived @ 2.643636
2 German-South_derived + Lemba_derived + Mordovian_derived + Puerto-Rican_derived @ 2.752987
3 Bantu_derived + Montenegrin_derived + Puerto-Rican_derived + Russian_North_derived @ 2.780389
4 Italian-South_derived + Mandenka_derived + Orcadian_derived + Russian_North_derived @ 2.803254
5 Latvian_V_derived + Lemba_derived + Norwegian_V_derived + Puerto-Rican_derived @ 2.803370
6 German_derived + German_derived + Lemba_derived + Puerto-Rican_derived @ 2.805600
7 Sub-Saharian_ancestral + Italian-South_derived + Orcadian_derived + Russian_North_derived @ 2.810022
8 Italian-South_derived + Orcadian_derived + Russian_North_derived + Yoruba_derived @ 2.810022
9 CEU_derived + Lemba_derived + Mordovian_derived + Puerto-Rican_derived @ 2.818442
10 Mandenka_derived + Orcadian_derived + Russian_North_derived + Sicilian_derived @ 2.831209
11 Sub-Saharian_ancestral + Orcadian_derived + Russian_North_derived + Sicilian_derived @ 2.832969
12 Orcadian_derived + Russian_North_derived + Sicilian_derived + Yoruba_derived @ 2.832969
13 Italian-South_derived + Mandenka_derived + Norwegian_V_derived + Russian_North_derived @ 2.835461
14 Sub-Saharian_ancestral + Ashkenazim_V_derived + French_derived + Russian_North_derived @ 2.839665
15 Ashkenazim_V_derived + French_derived + Russian_North_derived + Yoruba_derived @ 2.839665
16 Ashkenazim_V_derived + French_derived + Mandenka_derived + Russian_North_derived @ 2.840864
17 Sub-Saharian_ancestral + Italian-South_derived + Norwegian_V_derived + Russian_North_derived @ 2.842152
18 Italian-South_derived + Norwegian_V_derived + Russian_North_derived + Yoruba_derived @ 2.842152
19 Mandenka_derived + Norwegian_V_derived + Russian_North_derived + Sicilian_derived @ 2.870385
20 Sub-Saharian_ancestral + Ashkenazim_derived + Orcadian_derived + Russian_North_derived @ 2.870619
Done.
================
Dodecad V3 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.
The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.
Admix Results (sorted):
# Population Percent
1 West_European 37.52
2 Neo_African 15.69
3 Mediterranean 15.00
4 East_European 9.01
5 Palaeo_African 8.08
6 West_Asian 5.91
7 East_African 3.16
8 Southwest_Asian 1.93
9 Northeast_Asian 1.34
10 South_Asian 1.18
Finished reading population data. 227 populations found.
12 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Slovenian_Xing @ 24.152166
2 N._European_Xing @ 25.728615
3 German_Dodecad @ 25.810038
4 CEU_HapMap @ 26.647373
5 Argyll_1000 Genomes @ 27.086418
6 Hungarians_Behar @ 27.212490
7 Orcadian_HGDP @ 27.867130
8 Orkney_1000 Genomes @ 27.903755
9 Mixed_Germanic_Dodecad @ 30.283049
10 French_HGDP @ 30.301464
11 French_Dodecad @ 30.485781
12 Dutch_Dodecad @ 31.618868
13 Tuscan_Xing @ 32.605713
14 Tuscan_Henn @ 32.927879
15 TSI_HapMap @ 33.308243
16 Kent_1000 Genomes @ 33.451576
17 Balkans_Dodecad @ 33.962631
18 Swedish_Dodecad @ 34.066845
19 FIN_1000Genomes @ 34.394489
20 Romanians_14_Behar @ 34.663609
Using 2 populations approximation:
1 50% ASW_HapMap +50% Orkney_1000 Genomes @ 10.839176
Using 3 populations approximation:
1 50% Norwegian_Dodecad +25% Romanians_14_Behar +25% Brong_Henn @ 3.452567
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++
1 FIN_1000Genomes + Irish_Dodecad + Brong_Henn + Tuscan_Xing @ 2.356093
2 FIN_1000Genomes + Irish_Dodecad + Bambaran_Xing + Tuscan_Xing @ 2.378654
3 FIN_1000Genomes + Irish_Dodecad + Igbo_Henn + Tuscan_Xing @ 2.427573
4 FIN_1000Genomes + Irish_Dodecad + Hausa_Henn + Tuscan_Xing @ 2.432405
5 British_Isles_Dodecad + FIN_1000Genomes + Brong_Henn + Tuscan_Xing @ 2.533497
6 British_Isles_Dodecad + FIN_1000Genomes + Bambaran_Xing + Tuscan_Xing @ 2.553759
7 British_Dodecad + FIN_1000Genomes + Brong_Henn + Tuscan_Xing @ 2.587441
8 British_Isles_Dodecad + FIN_1000Genomes + Igbo_Henn + Tuscan_Xing @ 2.603994
9 British_Isles_Dodecad + FIN_1000Genomes + Hausa_Henn + Tuscan_Xing @ 2.607559
10 British_Dodecad + FIN_1000Genomes + Bambaran_Xing + Tuscan_Xing @ 2.615214
11 FIN_1000Genomes + Irish_Dodecad + Brong_Henn + Tuscan_Henn @ 2.617961
12 FIN_1000Genomes + Irish_Dodecad + Dogon_Xing + Tuscan_Xing @ 2.629275
13 FIN_1000Genomes + Irish_Dodecad + Tuscan_Henn + Bambaran_Xing @ 2.640688
14 Cornwall_1000 Genomes + FIN_1000Genomes + Brong_Henn + Tuscan_Xing @ 2.643110
15 British_Dodecad + FIN_1000Genomes + Igbo_Henn + Tuscan_Xing @ 2.657792
16 British_Dodecad + FIN_1000Genomes + Hausa_Henn + Tuscan_Xing @ 2.659201
17 Cornwall_1000 Genomes + FIN_1000Genomes + Bambaran_Xing + Tuscan_Xing @ 2.662539
18 FIN_1000Genomes + Irish_Dodecad + Igbo_Henn + Tuscan_Henn @ 2.681021
19 FIN_1000Genomes + Irish_Dodecad + Bamoun_Henn + Tuscan_Xing @ 2.683940
20 FIN_1000Genomes + Irish_Dodecad + Hausa_Henn + Tuscan_Henn @ 2.686148
================
Africa9 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.
Admix Results (sorted):
# Population Percent
1 Europe 46.71
2 SW_Asia 21.84
3 W_Africa 21.07
4 NW_Africa 5.17
5 S_Africa 2.20
6 San 1.83
7 Biaka 1.18
Finished reading population data. 54 populations found.
9 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Morocco_Jews @ 27.378761
2 North_African_Jews_Dodecad @ 31.523413
3 Tuscan @ 32.231964
4 North_Italian @ 34.155674
5 Druze @ 39.301552
6 Egypt @ 39.909996
7 Jordanians @ 40.360577
8 Egyptans @ 42.036186
9 Yemenese @ 44.171303
10 Libya @ 46.390274
11 North_African_Dodecad @ 47.745167
12 Algeria @ 53.506958
13 Bedouin @ 57.382694
14 Morocco_N @ 59.759953
15 French_Basque @ 60.481731
16 Yemen_Jews @ 62.802704
17 Moroccans @ 63.570690
18 Morocco_S @ 63.636944
19 Luhya @ 64.830467
20 Bantu_N.E. @ 65.287796
Using 2 populations approximation:
1 50% Fulani +50% Tuscan @ 19.305805
Using 3 populations approximation:
1 50% Morocco_Jews +25% North_Italian +25% Yoruba @ 5.560930
Using 4 populations approximation:
+++++++++++++++++++++++
1 Brong + French_Basque + North_African_Jews_Dodecad + North_African_Jews_Dodecad @ 2.292991
2 French_Basque + Mandenka + North_African_Jews_Dodecad + North_African_Jews_Dodecad @ 2.523308
3 French_Basque + North_African_Jews_Dodecad + North_African_Jews_Dodecad + Yoruba @ 2.658659
4 Brong + French_Basque + Morocco_Jews + North_African_Jews_Dodecad @ 2.698521
5 French_Basque + Igbo + North_African_Jews_Dodecad + North_African_Jews_Dodecad @ 2.975921
6 French_Basque + Morocco_Jews + North_African_Jews_Dodecad + Yoruba @ 2.985883
7 French_Basque + Mandenka + Morocco_Jews + North_African_Jews_Dodecad @ 3.000863
8 Brong + French_Basque + Jordanians + Morocco_Jews @ 3.191340
9 French_Basque + Igbo + Morocco_Jews + North_African_Jews_Dodecad @ 3.200177
10 Mandenka + Morocco_Jews + North_Italian + Tuscan @ 3.284655
11 French_Basque + Jordanians + Mandenka + Morocco_Jews @ 3.290316
12 Mandenka + North_African_Jews_Dodecad + North_Italian + North_Italian @ 3.294896
13 French_Basque + Hausa + North_African_Jews_Dodecad + North_African_Jews_Dodecad @ 3.328845
14 Mandenka + Morocco_Jews + North_Italian + North_Italian @ 3.338498
15 Brong + Morocco_Jews + North_Italian + North_Italian @ 3.393985
16 Brong + Morocco_Jews + North_Italian + Tuscan @ 3.409166
17 Druze + French_Basque + Mandenka + Morocco_Jews @ 3.435745
18 Brong + North_African_Jews_Dodecad + North_Italian + North_Italian @ 3.442931
19 French_Basque + Jordanians + Morocco_Jews + Yoruba @ 3.470489
20 Morocco_Jews + North_Italian + North_Italian + Yoruba @ 3.547149
===============
Eurasia K9 ASI Oracle
Admix Results (sorted):
# Population Percent
1 WHG 29.44
2 W_African 23.71
3 Early_Neolithic_Farmers 12.75
4 Eastern_Hunter_Gatherer 11.04
5 SW_Asian 10.94
6 Caucausus_Hunter_Gatherer 9.91
7 Siberian_E_Asian 1.37
Finished reading population data. 118 populations found.
9 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Croatian @ 28.551857
2 Hungarian @ 28.883076
3 Bulgarian @ 28.918781
4 Tatars @ 29.170622
5 French @ 29.638973
6 Spanish @ 30.036901
7 Scottish @ 30.094067
8 Ukrainian @ 30.585007
9 English @ 30.746456
10 Czech @ 30.797022
11 RISE_baBb @ 31.255447
12 Albanian @ 31.352463
13 Norwegian @ 31.617016
14 Greek @ 32.370045
15 Tuscan @ 32.396545
16 Russian @ 32.499977
17 Icelandic @ 32.956333
18 French_South @ 33.075897
19 Belarusian @ 33.182449
20 Maltese @ 33.602562
Using 2 populations approximation:
1 50% Icelandic +50% Masai @ 13.999241
Using 3 populations approximation:
1 50% Estonian +25% Lebanese +25% Yoruba @ 3.563088
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++
1 Azeri + Esan + RISE_baBb + RISE_baHu @ 2.769839
2 Azeri + RISE_baBb + RISE_baHu + Yoruba @ 2.769839
3 Azeri + RISE_baBb + RISE_baHu + Yoruba @ 2.769839
4 Esan + Georgian_Jew + RISE_baBb + RISE_baHu @ 2.932170
5 Georgian_Jew + RISE_baBb + RISE_baHu + Yoruba @ 2.932170
6 Georgian_Jew + RISE_baBb + RISE_baHu + Yoruba @ 2.932170
7 Esan + Kurd_N + RISE_baBb + RISE_baHu @ 3.105168
8 Kurd_N + RISE_baBb + RISE_baHu + Yoruba @ 3.105168
9 Kurd_N + RISE_baBb + RISE_baHu + Yoruba @ 3.105168
10 Esan + Iraqi_Jew + RISE_baHu + RISE_baSin @ 3.138795
11 Iraqi_Jew + RISE_baHu + RISE_baSin + Yoruba @ 3.138795
12 Iraqi_Jew + RISE_baHu + RISE_baSin + Yoruba @ 3.138795
13 Armenian + Esan + RISE_baBb + RISE_baHu @ 3.198879
14 Armenian + RISE_baBb + RISE_baHu + Yoruba @ 3.198879
15 Armenian + RISE_baBb + RISE_baHu + Yoruba @ 3.198879
16 Esan + Georgian_Jew + RISE_baHu + RISE_baUne @ 3.215611
17 Georgian_Jew + RISE_baHu + RISE_baUne + Yoruba @ 3.215611
18 Georgian_Jew + RISE_baHu + RISE_baUne + Yoruba @ 3.215611
19 Esan + Georgian_Jew + RISE_baHu + RISE_baSin @ 3.296652
20 Georgian_Jew + RISE_baHu + RISE_baSin + Yoruba @ 3.296652
=========
World9 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.
Admix Results (sorted):
# Population Percent
1 Atlantic_Baltic 51.00
2 African 25.69
3 Southern 9.89
4 Caucasus_Gedrosia 8.60
5 Amerindian 2.22
6 South_Asian 1.17
7 East_Asian 1.05
Finished reading population data. 250 populations found.
9 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 PUR30 @ 21.669155
2 Puerto_Rican @ 22.433193
3 Brazilian_Dodecad @ 25.210340
4 Dominican @ 27.945721
5 Romanians_Behar @ 31.003141
6 Extremadura_1000 Genomes @ 31.430727
7 Bulgarians_Yunusbayev @ 31.541395
8 Canarias_1000 Genomes @ 31.571606
9 Portuguese_Dodecad @ 31.618629
10 Bulgarian_Dodecad @ 31.808084
11 Hungarians_Behar @ 31.983232
12 Galicia_1000 Genomes @ 32.182503
13 N_Italian_Dodecad @ 32.335743
14 Murcia_1000 Genomes @ 32.483116
15 Baleares_1000 Genomes @ 32.550945
16 Andalucia_1000 Genomes @ 32.563145
17 Spaniards_Behar @ 32.835537
18 French_HGDP @ 32.920883
19 Castilla_La_Mancha_1000 Genomes @ 32.979599
20 North_Italian_HGDP @ 32.980614
Using 2 populations approximation:
1 50% Dominican +50% Ukranians_Yunusbayev @ 6.056516
Using 3 populations approximation:
1 50% Polish_Dodecad +25% San_He +25% PUR30 @ 1.695446
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++
1 Brazilian_Dodecad + San + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.426385
2 Brazilian_Dodecad + Bantu_S.W._Herero_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.431525
3 Brazilian_Dodecad + Orcadian_HGDP + San + Ukranians_Yunusbayev @ 1.472408
4 Brazilian_Dodecad + Bantu_S.E._Tswana_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.503502
5 Mixed_Germanic_Dodecad + Brazilian_Dodecad + San + Russian_B_Behar @ 1.503895
6 Brazilian_Dodecad + Bantu_S.E._Zulu_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.506195
7 Polish_Dodecad + Brazilian_Dodecad + Bantu_S.W._Herero_HGDP + Ukranians_Yunusbayev @ 1.511248
8 Brazilian_Dodecad + Bantu_S.W._Ovambo_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.513936
9 Brazilian_Dodecad + YRI30_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.513987
10 Brazilian_Dodecad + Yoruba_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.518726
11 Irish_Dodecad + Brazilian_Dodecad + San + Ukranians_Yunusbayev @ 1.519713
12 Dutch_Dodecad + Brazilian_Dodecad + Bantu_S.W._Herero_HGDP + Russian_B_Behar @ 1.528103
13 Brazilian_Dodecad + Bantu_S.W._Herero_HGDP + Orcadian_HGDP + Ukranians_Yunusbayev @ 1.530882
14 Polish_Dodecad + Brazilian_Dodecad + Mandenka + Ukranians_Yunusbayev @ 1.535858
15 Brazilian_Dodecad + Mandenka + Belorussian_Behar + Ukranians_Yunusbayev @ 1.540693
16 Irish_Dodecad + Brazilian_Dodecad + Bantu_S.W._Herero_HGDP + Ukranians_Yunusbayev @ 1.541182
17 Dutch_Dodecad + Brazilian_Dodecad + San + Russian_B_Behar @ 1.542745
18 Polish_Dodecad + Brazilian_Dodecad + YRI30_HGDP + Ukranians_Yunusbayev @ 1.545439
19 Brazilian_Dodecad + Bantu_S.E._Pedi_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.550237
20 Brazilian_Dodecad + Bantu_S.E._S.Sotho_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.550237
=========
MDLP World-22 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.
Admix Results (sorted):
# Population Percent
1 North-East-European 31.24
2 Sub-Saharian 24.23
3 Atlantic_Mediterranean_Neolithic 21.76
4 West-Asian 5.49
5 Near_East 4.65
6 North-European-Mesolithic 4.05
7 Samoedic 1.77
8 Indo-Iranian 1.67
9 South-America_Amerind 1.36
10 South-African 1.00
Finished reading population data. 276 populations found.
22 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Lumbee_derived @ 8.123425
2 Puerto-Rican_derived @ 24.093933
3 Romania_derived @ 29.779030
4 Bulgarian_derived @ 30.156420
5 Macedonian_derived @ 30.249891
6 Colville_derived @ 30.531342
7 Swiss_derived @ 30.552608
8 Gagauz_derived @ 30.677973
9 Serbian_derived @ 30.759493
10 Montenegrin_derived @ 30.802689
11 Tatar_derived @ 31.625250
12 German-South_derived @ 31.726393
13 Bosnian_derived @ 32.376545
14 Ashkenazim_V_derived @ 32.461517
15 Hungarian_derived @ 32.520847
16 Tatar_Lithuania_derived @ 32.521179
17 Italian_North_derived @ 32.601524
18 Tatar_Kryashen_derived @ 32.744736
19 Austrian_derived @ 32.833843
20 Provancestralal_derived @ 32.883274
Using 2 populations approximation:
1 50% Lumbee_derived +50% Lumbee_derived @ 8.123425
Using 3 populations approximation:
1 50% German_derived +25% Lemba_derived +25% Puerto-Rican_derived @ 2.805600
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +
1 German-South_derived + Lemba_derived + Puerto-Rican_derived + Russian_North_derived @ 2.643636
2 German-South_derived + Lemba_derived + Mordovian_derived + Puerto-Rican_derived @ 2.752987
3 Bantu_derived + Montenegrin_derived + Puerto-Rican_derived + Russian_North_derived @ 2.780389
4 Italian-South_derived + Mandenka_derived + Orcadian_derived + Russian_North_derived @ 2.803254
5 Latvian_V_derived + Lemba_derived + Norwegian_V_derived + Puerto-Rican_derived @ 2.803370
6 German_derived + German_derived + Lemba_derived + Puerto-Rican_derived @ 2.805600
7 Sub-Saharian_ancestral + Italian-South_derived + Orcadian_derived + Russian_North_derived @ 2.810022
8 Italian-South_derived + Orcadian_derived + Russian_North_derived + Yoruba_derived @ 2.810022
9 CEU_derived + Lemba_derived + Mordovian_derived + Puerto-Rican_derived @ 2.818442
10 Mandenka_derived + Orcadian_derived + Russian_North_derived + Sicilian_derived @ 2.831209
11 Sub-Saharian_ancestral + Orcadian_derived + Russian_North_derived + Sicilian_derived @ 2.832969
12 Orcadian_derived + Russian_North_derived + Sicilian_derived + Yoruba_derived @ 2.832969
13 Italian-South_derived + Mandenka_derived + Norwegian_V_derived + Russian_North_derived @ 2.835461
14 Sub-Saharian_ancestral + Ashkenazim_V_derived + French_derived + Russian_North_derived @ 2.839665
15 Ashkenazim_V_derived + French_derived + Russian_North_derived + Yoruba_derived @ 2.839665
16 Ashkenazim_V_derived + French_derived + Mandenka_derived + Russian_North_derived @ 2.840864
17 Sub-Saharian_ancestral + Italian-South_derived + Norwegian_V_derived + Russian_North_derived @ 2.842152
18 Italian-South_derived + Norwegian_V_derived + Russian_North_derived + Yoruba_derived @ 2.842152
19 Mandenka_derived + Norwegian_V_derived + Russian_North_derived + Sicilian_derived @ 2.870385
20 Sub-Saharian_ancestral + Ashkenazim_derived + Orcadian_derived + Russian_North_derived @ 2.870619
Done.
================
Dodecad V3 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.
The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.
Admix Results (sorted):
# Population Percent
1 West_European 37.52
2 Neo_African 15.69
3 Mediterranean 15.00
4 East_European 9.01
5 Palaeo_African 8.08
6 West_Asian 5.91
7 East_African 3.16
8 Southwest_Asian 1.93
9 Northeast_Asian 1.34
10 South_Asian 1.18
Finished reading population data. 227 populations found.
12 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Slovenian_Xing @ 24.152166
2 N._European_Xing @ 25.728615
3 German_Dodecad @ 25.810038
4 CEU_HapMap @ 26.647373
5 Argyll_1000 Genomes @ 27.086418
6 Hungarians_Behar @ 27.212490
7 Orcadian_HGDP @ 27.867130
8 Orkney_1000 Genomes @ 27.903755
9 Mixed_Germanic_Dodecad @ 30.283049
10 French_HGDP @ 30.301464
11 French_Dodecad @ 30.485781
12 Dutch_Dodecad @ 31.618868
13 Tuscan_Xing @ 32.605713
14 Tuscan_Henn @ 32.927879
15 TSI_HapMap @ 33.308243
16 Kent_1000 Genomes @ 33.451576
17 Balkans_Dodecad @ 33.962631
18 Swedish_Dodecad @ 34.066845
19 FIN_1000Genomes @ 34.394489
20 Romanians_14_Behar @ 34.663609
Using 2 populations approximation:
1 50% ASW_HapMap +50% Orkney_1000 Genomes @ 10.839176
Using 3 populations approximation:
1 50% Norwegian_Dodecad +25% Romanians_14_Behar +25% Brong_Henn @ 3.452567
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++
1 FIN_1000Genomes + Irish_Dodecad + Brong_Henn + Tuscan_Xing @ 2.356093
2 FIN_1000Genomes + Irish_Dodecad + Bambaran_Xing + Tuscan_Xing @ 2.378654
3 FIN_1000Genomes + Irish_Dodecad + Igbo_Henn + Tuscan_Xing @ 2.427573
4 FIN_1000Genomes + Irish_Dodecad + Hausa_Henn + Tuscan_Xing @ 2.432405
5 British_Isles_Dodecad + FIN_1000Genomes + Brong_Henn + Tuscan_Xing @ 2.533497
6 British_Isles_Dodecad + FIN_1000Genomes + Bambaran_Xing + Tuscan_Xing @ 2.553759
7 British_Dodecad + FIN_1000Genomes + Brong_Henn + Tuscan_Xing @ 2.587441
8 British_Isles_Dodecad + FIN_1000Genomes + Igbo_Henn + Tuscan_Xing @ 2.603994
9 British_Isles_Dodecad + FIN_1000Genomes + Hausa_Henn + Tuscan_Xing @ 2.607559
10 British_Dodecad + FIN_1000Genomes + Bambaran_Xing + Tuscan_Xing @ 2.615214
11 FIN_1000Genomes + Irish_Dodecad + Brong_Henn + Tuscan_Henn @ 2.617961
12 FIN_1000Genomes + Irish_Dodecad + Dogon_Xing + Tuscan_Xing @ 2.629275
13 FIN_1000Genomes + Irish_Dodecad + Tuscan_Henn + Bambaran_Xing @ 2.640688
14 Cornwall_1000 Genomes + FIN_1000Genomes + Brong_Henn + Tuscan_Xing @ 2.643110
15 British_Dodecad + FIN_1000Genomes + Igbo_Henn + Tuscan_Xing @ 2.657792
16 British_Dodecad + FIN_1000Genomes + Hausa_Henn + Tuscan_Xing @ 2.659201
17 Cornwall_1000 Genomes + FIN_1000Genomes + Bambaran_Xing + Tuscan_Xing @ 2.662539
18 FIN_1000Genomes + Irish_Dodecad + Igbo_Henn + Tuscan_Henn @ 2.681021
19 FIN_1000Genomes + Irish_Dodecad + Bamoun_Henn + Tuscan_Xing @ 2.683940
20 FIN_1000Genomes + Irish_Dodecad + Hausa_Henn + Tuscan_Henn @ 2.686148
================
Africa9 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.
Admix Results (sorted):
# Population Percent
1 Europe 46.71
2 SW_Asia 21.84
3 W_Africa 21.07
4 NW_Africa 5.17
5 S_Africa 2.20
6 San 1.83
7 Biaka 1.18
Finished reading population data. 54 populations found.
9 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Morocco_Jews @ 27.378761
2 North_African_Jews_Dodecad @ 31.523413
3 Tuscan @ 32.231964
4 North_Italian @ 34.155674
5 Druze @ 39.301552
6 Egypt @ 39.909996
7 Jordanians @ 40.360577
8 Egyptans @ 42.036186
9 Yemenese @ 44.171303
10 Libya @ 46.390274
11 North_African_Dodecad @ 47.745167
12 Algeria @ 53.506958
13 Bedouin @ 57.382694
14 Morocco_N @ 59.759953
15 French_Basque @ 60.481731
16 Yemen_Jews @ 62.802704
17 Moroccans @ 63.570690
18 Morocco_S @ 63.636944
19 Luhya @ 64.830467
20 Bantu_N.E. @ 65.287796
Using 2 populations approximation:
1 50% Fulani +50% Tuscan @ 19.305805
Using 3 populations approximation:
1 50% Morocco_Jews +25% North_Italian +25% Yoruba @ 5.560930
Using 4 populations approximation:
+++++++++++++++++++++++
1 Brong + French_Basque + North_African_Jews_Dodecad + North_African_Jews_Dodecad @ 2.292991
2 French_Basque + Mandenka + North_African_Jews_Dodecad + North_African_Jews_Dodecad @ 2.523308
3 French_Basque + North_African_Jews_Dodecad + North_African_Jews_Dodecad + Yoruba @ 2.658659
4 Brong + French_Basque + Morocco_Jews + North_African_Jews_Dodecad @ 2.698521
5 French_Basque + Igbo + North_African_Jews_Dodecad + North_African_Jews_Dodecad @ 2.975921
6 French_Basque + Morocco_Jews + North_African_Jews_Dodecad + Yoruba @ 2.985883
7 French_Basque + Mandenka + Morocco_Jews + North_African_Jews_Dodecad @ 3.000863
8 Brong + French_Basque + Jordanians + Morocco_Jews @ 3.191340
9 French_Basque + Igbo + Morocco_Jews + North_African_Jews_Dodecad @ 3.200177
10 Mandenka + Morocco_Jews + North_Italian + Tuscan @ 3.284655
11 French_Basque + Jordanians + Mandenka + Morocco_Jews @ 3.290316
12 Mandenka + North_African_Jews_Dodecad + North_Italian + North_Italian @ 3.294896
13 French_Basque + Hausa + North_African_Jews_Dodecad + North_African_Jews_Dodecad @ 3.328845
14 Mandenka + Morocco_Jews + North_Italian + North_Italian @ 3.338498
15 Brong + Morocco_Jews + North_Italian + North_Italian @ 3.393985
16 Brong + Morocco_Jews + North_Italian + Tuscan @ 3.409166
17 Druze + French_Basque + Mandenka + Morocco_Jews @ 3.435745
18 Brong + North_African_Jews_Dodecad + North_Italian + North_Italian @ 3.442931
19 French_Basque + Jordanians + Morocco_Jews + Yoruba @ 3.470489
20 Morocco_Jews + North_Italian + North_Italian + Yoruba @ 3.547149
===============
Eurasia K9 ASI Oracle
Admix Results (sorted):
# Population Percent
1 WHG 29.44
2 W_African 23.71
3 Early_Neolithic_Farmers 12.75
4 Eastern_Hunter_Gatherer 11.04
5 SW_Asian 10.94
6 Caucausus_Hunter_Gatherer 9.91
7 Siberian_E_Asian 1.37
Finished reading population data. 118 populations found.
9 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Croatian @ 28.551857
2 Hungarian @ 28.883076
3 Bulgarian @ 28.918781
4 Tatars @ 29.170622
5 French @ 29.638973
6 Spanish @ 30.036901
7 Scottish @ 30.094067
8 Ukrainian @ 30.585007
9 English @ 30.746456
10 Czech @ 30.797022
11 RISE_baBb @ 31.255447
12 Albanian @ 31.352463
13 Norwegian @ 31.617016
14 Greek @ 32.370045
15 Tuscan @ 32.396545
16 Russian @ 32.499977
17 Icelandic @ 32.956333
18 French_South @ 33.075897
19 Belarusian @ 33.182449
20 Maltese @ 33.602562
Using 2 populations approximation:
1 50% Icelandic +50% Masai @ 13.999241
Using 3 populations approximation:
1 50% Estonian +25% Lebanese +25% Yoruba @ 3.563088
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++
1 Azeri + Esan + RISE_baBb + RISE_baHu @ 2.769839
2 Azeri + RISE_baBb + RISE_baHu + Yoruba @ 2.769839
3 Azeri + RISE_baBb + RISE_baHu + Yoruba @ 2.769839
4 Esan + Georgian_Jew + RISE_baBb + RISE_baHu @ 2.932170
5 Georgian_Jew + RISE_baBb + RISE_baHu + Yoruba @ 2.932170
6 Georgian_Jew + RISE_baBb + RISE_baHu + Yoruba @ 2.932170
7 Esan + Kurd_N + RISE_baBb + RISE_baHu @ 3.105168
8 Kurd_N + RISE_baBb + RISE_baHu + Yoruba @ 3.105168
9 Kurd_N + RISE_baBb + RISE_baHu + Yoruba @ 3.105168
10 Esan + Iraqi_Jew + RISE_baHu + RISE_baSin @ 3.138795
11 Iraqi_Jew + RISE_baHu + RISE_baSin + Yoruba @ 3.138795
12 Iraqi_Jew + RISE_baHu + RISE_baSin + Yoruba @ 3.138795
13 Armenian + Esan + RISE_baBb + RISE_baHu @ 3.198879
14 Armenian + RISE_baBb + RISE_baHu + Yoruba @ 3.198879
15 Armenian + RISE_baBb + RISE_baHu + Yoruba @ 3.198879
16 Esan + Georgian_Jew + RISE_baHu + RISE_baUne @ 3.215611
17 Georgian_Jew + RISE_baHu + RISE_baUne + Yoruba @ 3.215611
18 Georgian_Jew + RISE_baHu + RISE_baUne + Yoruba @ 3.215611
19 Esan + Georgian_Jew + RISE_baHu + RISE_baSin @ 3.296652
20 Georgian_Jew + RISE_baHu + RISE_baSin + Yoruba @ 3.296652
=========
World9 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.
Admix Results (sorted):
# Population Percent
1 Atlantic_Baltic 51.00
2 African 25.69
3 Southern 9.89
4 Caucasus_Gedrosia 8.60
5 Amerindian 2.22
6 South_Asian 1.17
7 East_Asian 1.05
Finished reading population data. 250 populations found.
9 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 PUR30 @ 21.669155
2 Puerto_Rican @ 22.433193
3 Brazilian_Dodecad @ 25.210340
4 Dominican @ 27.945721
5 Romanians_Behar @ 31.003141
6 Extremadura_1000 Genomes @ 31.430727
7 Bulgarians_Yunusbayev @ 31.541395
8 Canarias_1000 Genomes @ 31.571606
9 Portuguese_Dodecad @ 31.618629
10 Bulgarian_Dodecad @ 31.808084
11 Hungarians_Behar @ 31.983232
12 Galicia_1000 Genomes @ 32.182503
13 N_Italian_Dodecad @ 32.335743
14 Murcia_1000 Genomes @ 32.483116
15 Baleares_1000 Genomes @ 32.550945
16 Andalucia_1000 Genomes @ 32.563145
17 Spaniards_Behar @ 32.835537
18 French_HGDP @ 32.920883
19 Castilla_La_Mancha_1000 Genomes @ 32.979599
20 North_Italian_HGDP @ 32.980614
Using 2 populations approximation:
1 50% Dominican +50% Ukranians_Yunusbayev @ 6.056516
Using 3 populations approximation:
1 50% Polish_Dodecad +25% San_He +25% PUR30 @ 1.695446
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++
1 Brazilian_Dodecad + San + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.426385
2 Brazilian_Dodecad + Bantu_S.W._Herero_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.431525
3 Brazilian_Dodecad + Orcadian_HGDP + San + Ukranians_Yunusbayev @ 1.472408
4 Brazilian_Dodecad + Bantu_S.E._Tswana_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.503502
5 Mixed_Germanic_Dodecad + Brazilian_Dodecad + San + Russian_B_Behar @ 1.503895
6 Brazilian_Dodecad + Bantu_S.E._Zulu_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.506195
7 Polish_Dodecad + Brazilian_Dodecad + Bantu_S.W._Herero_HGDP + Ukranians_Yunusbayev @ 1.511248
8 Brazilian_Dodecad + Bantu_S.W._Ovambo_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.513936
9 Brazilian_Dodecad + YRI30_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.513987
10 Brazilian_Dodecad + Yoruba_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.518726
11 Irish_Dodecad + Brazilian_Dodecad + San + Ukranians_Yunusbayev @ 1.519713
12 Dutch_Dodecad + Brazilian_Dodecad + Bantu_S.W._Herero_HGDP + Russian_B_Behar @ 1.528103
13 Brazilian_Dodecad + Bantu_S.W._Herero_HGDP + Orcadian_HGDP + Ukranians_Yunusbayev @ 1.530882
14 Polish_Dodecad + Brazilian_Dodecad + Mandenka + Ukranians_Yunusbayev @ 1.535858
15 Brazilian_Dodecad + Mandenka + Belorussian_Behar + Ukranians_Yunusbayev @ 1.540693
16 Irish_Dodecad + Brazilian_Dodecad + Bantu_S.W._Herero_HGDP + Ukranians_Yunusbayev @ 1.541182
17 Dutch_Dodecad + Brazilian_Dodecad + San + Russian_B_Behar @ 1.542745
18 Polish_Dodecad + Brazilian_Dodecad + YRI30_HGDP + Ukranians_Yunusbayev @ 1.545439
19 Brazilian_Dodecad + Bantu_S.E._Pedi_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.550237
20 Brazilian_Dodecad + Bantu_S.E._S.Sotho_HGDP + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.550237