My Autossomal Gedmatch
Dodecad Project Admixture Oracle results
My Autossomal Gedmatch
Dodecad Project Admixture Oracle results
GEDmatch.Com Oracle
This program is based on 'Oracle v1' by Dienekes Pontikos. His original program was
developed as part of the Dodecad Ancestry Project. More information on Dienekes'
orignal program can be found here.
Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle
program developed.
Dodecad V3 Oracle results:
The GEDmatch version of Oracle may give slightly different results from Dienekes
version. The GEDmatch version uses FST weighting in its calculations.
Kit F214911
Admix Results (sorted):
# Population Percent
1 Neo_African 44.97
2 Palaeo_African 26.34
3 East_African 9.03
4 West_European 6.92
5 East_European 3.19
6 Northwest_African 2.91
7 Mediterranean 2.49
8 Northeast_Asian 1.73
9 West_Asian 0.93
10 Southeast_Asian 0.81
11 South_Asian 0.67
Single Population Sharing:
# Population (source) Distance
1 ASW (HapMap) 4.83
2 Luhya (Henn) 14.79
3 Luhya (Xing) 14.88
4 LWK (HapMap) 15.34
5 Mada (Henn) 15.82
6 Kaba (Henn) 16.66
7 Hausa (Henn) 18.41
8 Kongo (Henn) 18.51
9 Bamoun (Henn) 18.99
10 Fang (Henn) 19.14
11 Pedi (Xing) 19.25
12 Nguni (Xing) 19.41
13 Brong (Henn) 19.6
14 Igbo (Henn) 19.91
15 Fulani (Henn) 20.04
16 Alur (Xing) 20.63
17 Siddi (Reich) 21.84
18 Bambaran (Xing) 21.86
19 Xhosa (Henn) 22.57
20 Hema (Xing) 23.3
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 90.7%ASW (HapMap) + 9.3%SANDAWE (Henn) @ 3.52
2 87.5%ASW (HapMap) + 12.5%Hema (Xing) @ 3.53
3 92.9%ASW (HapMap) + 7.1%HADZA (Henn) @ 3.63
4 87.1%ASW (HapMap) + 12.9%Alur (Xing) @ 3.78
5 93.6%ASW (HapMap) + 6.4%Maasai (Henn) @ 3.88
6 94.3%ASW (HapMap) + 5.7%MKK (HapMap) @ 3.96
7 89.9%ASW (HapMap) + 10.1%Bulala (Henn) @ 4.05
8 85.2%ASW (HapMap) + 14.8%Luhya (Xing) @ 4.15
9 96.6%ASW (HapMap) + 3.4%Ethiopians (Behar) @ 4.15
10 89.7%ASW (HapMap) + 10.3%Siddi (Reich) @ 4.15
11 96.7%ASW (HapMap) + 3.3%East_African (Dodecad) @ 4.17
12 96.7%ASW (HapMap) + 3.3%Ethiopian_Jews (Behar) @ 4.17
13 89.5%ASW (HapMap) + 10.5%Fulani (Henn) @ 4.25
14 86.4%ASW (HapMap) + 13.6%Luhya (Henn) @ 4.29
15 96.5%ASW (HapMap) + 3.5%!Kung (Xing) @ 4.34
16 96.9%ASW (HapMap) + 3.1%SAN_SA (Henn) @ 4.35
17 97.6%ASW (HapMap) + 2.4%Mozabite (HGDP) @ 4.36
18 98%ASW (HapMap) + 2%San (HGDP) @ 4.37
19 88.1%ASW (HapMap) + 11.9%Mada (Henn) @ 4.38
20 98%ASW (HapMap) + 2%Evenk_15 (Rasmussen) @ 4.39
GEDmatch.Com Oracle
This program is based on 'Oracle v1' by Dienekes Pontikos. His original program
was developed as part of the Dodecad Ancestry Project. More information on
Dienekes' orignal program can be found here.
Gedmatch.Com
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.
Revised: Dec 6, 2012
12 components mode.
Component threshold auto-set to 1.010%. Admix results below that value will not be
considered.
Kit Number: F214911
Admix Results (sorted):
# Population Percent
1 Neo_African 46.08
2 Palaeo_African 26.99
3 East_African 9.26
4 West_European 7.10
5 East_European 3.26
6 Northwest_African 2.98
7 Mediterranean 2.56
8 Northeast_Asian 1.78
--------------------------------
Least-squares method.
Using 1 population approximation:
1 ASW @ 4.952
2 LWK @ 13.563
3 Luhya @ 13.663
4 Luhya @ 13.716
5 Kaba @ 14.327
6 Kongo @ 15.187
7 Mada @ 15.413
8 Pedi @ 15.417
9 Hausa @ 15.464
10 Fang @ 15.551
227 iterations.
Using 2 populations approximation:
1 50% ASW +50% ASW @ 4.952
2 50% ASW +50% Luhya @ 6.061
3 50% ASW +50% Luhya @ 6.151
4 50% ASW +50% LWK @ 6.203
5 50% ASW +50% Kaba @ 6.933
6 50% ASW +50% Mada @ 7.095
7 50% ASW +50% Pedi @ 7.168
8 50% ASW +50% Nguni @ 7.273
9 50% ASW +50% Kongo @ 7.419
10 50% ASW +50% Fang @ 7.540
25878 iterations.
Using 3 populations approximation:
1 50% ASW +25% ASW +25% Luhya @ 3.637
2 50% ASW +25% ASW +25% Luhya @ 3.774
3 50% ASW +25% ASW +25% LWK @ 3.880
4 50% ASW +25% ASW +25% Alur @ 4.044
5 50% ASW +25% ASW +25% Mada @ 4.153
6 50% ASW +25% Fulani +25% Nguni @ 4.238
7 50% ASW +25% ASW +25% Pedi @ 4.245
8 50% ASW +25% Fulani +25% Pedi @ 4.252
9 50% ASW +25% ASW +25% Nguni @ 4.278
10 50% ASW +25% Fulani +25% Xhosa @ 4.392
362863 iterations.
Using 4 populations approximation:
1 ASW + ASW + ASW + Luhya @ 3.637
2 ASW + ASW + ASW + Luhya @ 3.774
3 ASW + ASW + ASW + LWK @ 3.880
4 ASW + ASW + ASW + Alur @ 4.044
5 ASW + ASW + ASW + Mada @ 4.153
6 ASW + ASW + Fulani + Nguni @ 4.238
7 ASW + ASW + ASW + Pedi @ 4.245
8 ASW + ASW + Fulani + Pedi @ 4.252
9 ASW + ASW + ASW + Nguni @ 4.278
10 ASW + ASW + Fulani + Xhosa @ 4.392
11 ASW + ASW + ASW + Kaba @ 4.426
12 ASW + ASW + Fang + Fulani @ 4.485
13 ASW + ASW + Fulani + Sotho_Tswana @ 4.515
14 ASW + ASW + Fulani + Kongo @ 4.598
15 ASW + ASW + ASW + Fang @ 4.649
16 ASW + ASW + ASW + Kongo @ 4.653
17 ASW + ASW + LWK + Fulani @ 4.786
18 ASW + ASW + Bamoun + Fulani @ 4.807
19 ASW + ASW + ASW + Bamoun @ 4.883
20 ASW + ASW + ASW + Sotho_Tswana @ 4.916
2548488 iterations.
Done.
Elapsed time 1.6105 seconds.
Gedmatch.Com
Dodecad V3 Oracle-x Population Fitting
This program is based on Larry Smiser's Population Fitting spreadsheet.
Questions about the method or results should be sent to him at lwsmiser@gmail.com
Finished reading population data. 227 populations found.
12 population clusters.
Kit Number: F214911
Admix Results:
# Population Percent
1 East_European 3.19
2 West_European 6.92
3 Mediterranean 2.49
4 Neo_African 44.97
5 West_Asian 0.93
6 South_Asian 0.67
7 Northeast_Asian 1.73
8 Southeast_Asian 0.81
9 East_African 9.03
10 Southwest_Asian 0.00
11 Northwest_African 2.91
12 Palaeo_African 26.34
Pct. Calc. Option 2
1 ASW 58.78%
2 Kongo 15.78%
3 HADZA 7.18%
4 Mandenka 6.31%
5 Mozabite 4.97%
6 Chuvashs_16 4.84%
7 Bulala 2.00%
8 Evenk_15 0.12%
9 Siddi 0.02%
10 Lithuanian 0.00%
Total RMSD: 0.728527
Elapsed time 0.5321 seconds.
Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle
program developed.
Africa9 Oracle results:
Kit F214911
Admix Results (sorted):
# Population Percent
1 W_Africa 46.32
2 Europe 12.67
3 S_Africa 11.1
4 Biaka 11.05
5 E_Africa 7.37
6 NW_Africa 5.68
7 SW_Asia 3.38
8 San 2.44
Single Population Sharing:
# Population (source) Distance
1 Fang 20.63
2 Luhya 22.83
3 Kongo 23.49
4 Bamoun 24.76
5 Bantu_N.E. 25.17
6 Kaba 28.3
7 Mada 30.66
8 Hausa 30.68
9 Igbo 31.85
10 Yoruba 33.13
11 Fulani 34.37
12 Brong 35.39
13 Bulala 39.48
14 Mandenka 40.4
15 Morocco_S 53.98
16 Maasai 54.42
17 Algeria 58.15
18 Libya 59.18
19 North_African (Dodecad) 59.36
20 HADZA 61.08
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 81%Fang + 19%North_Italian @ 7.28
2 80.7%Fang + 19.3%Tuscan @ 7.63
3 78.5%Fang + 21.5%Morocco_Jews @ 7.83
4 79.2%Fang + 20.8%North_African_Jews
(Dodecad) @ 9.16
5 84.9%Fang + 15.1%French_Basque @ 9.34
6 79.3%Kongo + 20.7%North_Italian @ 9.87
7 76.6%Kongo + 23.4%Morocco_Jews @ 9.96
8 76.4%Fang + 23.6%North_African (Dodecad) @ 9.99
9 79.1%Kongo + 20.9%Tuscan @ 10.12
10 75.5%Bamoun + 24.5%Morocco_Jews @ 10.33
11 78.5%Bamoun + 21.5%North_Italian @ 10.61
12 78.2%Bamoun + 21.8%Tuscan @ 10.8
13 77.3%Kongo + 22.7%North_African_Jews
(Dodecad) @ 11.11
14 81.5%Fang + 18.5%Druze @ 11.36
15 76.2%Bamoun + 23.8%North_African_Jews
(Dodecad) @ 11.45
16 74%Kongo + 26%North_African (Dodecad) @ 11.5
17 72.7%Bamoun + 27.3%North_African (Dodecad) @ 11.58
18 77.1%Fang + 22.9%Algeria @ 11.76
19 79.2%Fang + 20.8%Morocco_N @ 11.79
20 78.7%Fang + 21.3%Egypt @ 11.8
Gedmatch.Com
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.
Revised: Dec 6, 2012
9 components mode.
Component threshold auto-set to 1.340%. Admix results below that value will not be
considered.
Kit Number: F214911
Admix Results (sorted):
# Population Percent
1 W_Africa 46.32
2 Europe 12.67
3 S_Africa 11.10
4 Biaka 11.05
5 E_Africa 7.37
6 NW_Africa 5.68
7 SW_Asia 3.38
8 San 2.44
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Fang @ 21.071
2 Luhya @ 23.837
3 Kongo @ 24.372
4 Bamoun @ 26.249
5 Bantu_N.E. @ 26.545
6 Kaba @ 30.313
7 Bantu_S.E._Pedi @ 31.588
8 Mada @ 32.940
9 Hausa @ 33.320
10 Igbo @ 34.663
54 iterations.
Using 2 populations approximation:
1 50% Fang +50% Luhya @ 18.427
2 50% Bantu_N.E. +50% Fang @ 18.868
3 50% Kongo +50% Luhya @ 20.099
4 50% Bamoun +50% Luhya @ 20.381
5 50% Bantu_N.E. +50% Kongo @ 20.703
6 50% Bamoun +50% Bantu_N.E. @ 20.877
7 50% Fulani +50% Luhya @ 20.920
8 50% Fang +50% Fang @ 21.071
9 50% Bantu_S.E._Pedi +50% Luhya @ 21.386
10 50% Bantu_S.E._Pedi +50% Fang @ 21.401
1485 iterations.
Using 3 populations approximation:
1 50% Fang +25% Kaba +25% Morocco_Jews @ 8.242
2 50% Fang +25% Mada +25% Morocco_Jews @ 8.376
3 50% Fang +25% Fang +25% Morocco_Jews @ 8.398
4 50% Fang +25% Kongo +25% Morocco_Jews @ 8.503
5 50% Fang +25% Bamoun +25% Morocco_Jews @ 8.526
6 50% Fang +25% Luhya +25% Morocco_Jews @ 8.688
7 50% Fang +25% Hausa +25% Morocco_Jews @ 8.951
8 50% Bamoun +25% Luhya +25% Morocco_Jews @ 8.990
9 50% Fang +25% Bantu_N.E. +25% Morocco_Jews @ 9.084
10 50% Kongo +25% Fang +25% Morocco_Jews @ 9.119
37561 iterations.
Using 4 populations approximation:
1 Fang + Fang + Kaba + Morocco_Jews @ 8.242
2 Fang + Fang + Mada + Morocco_Jews @ 8.376
3 Fang + Fang + Fang + Morocco_Jews @ 8.398
4 Bamoun + Fang + Luhya + Morocco_Jews @ 8.489
5 Fang + Fang + Kongo + Morocco_Jews @ 8.503
6 Bamoun + Fang + Fang + Morocco_Jews @ 8.526
7 Fang + Fang + Luhya + Morocco_Jews @ 8.688
8 Fang + Kongo + Mada + Morocco_Jews @ 8.871
9 Fang + Kongo + Luhya + Morocco_Jews @ 8.896
10 Fang + Luhya + Morocco_Jews + Yoruba @ 8.900
11 Fang + Igbo + Luhya + Morocco_Jews @ 8.928
12 Fang + Hausa + Luhya + Morocco_Jews @ 8.942
13 Bamoun + Bantu_N.E. + Fang + Morocco_Jews @ 8.951
14 Fang + Fang + Hausa + Morocco_Jews @ 8.951
15 Bamoun + Bamoun + Luhya + Morocco_Jews @ 8.990
16 Fang + Kaba + Kongo + Morocco_Jews @ 9.049
17 Bantu_N.E. + Fang + Fang + Morocco_Jews @ 9.084
18 Fang + Kongo + Kongo + Morocco_Jews @ 9.119
19 Bamoun + Fang + Kongo + Morocco_Jews @ 9.128
20 Fang + Fang + Kaba + North_Italian @ 9.148
81249 iterations.
Done.
Elapsed time 0.0507 seconds.
Gedmatch.Com
Africa9 Oracle-x Population Fitting
This program is based on Larry Smiser's Population Fitting spreadsheet.
Questions about the method or results should be sent to him at lwsmiser@gmail.com
Finished reading population data. 54 populations found.
9 population clusters.
Kit Number: F214911
Admix Results:
# Population Percent
1 Europe 12.67
2 NW_Africa 5.68
3 SW_Asia 3.38
4 E_Africa 7.37
5 S_Africa 11.10
6 Mbuti 0.00
7 W_Africa 46.32
8 Biaka 11.05
9 San 2.44
Pct. Calc. Option 2
0 Unable to determine 0.02%
1 Hausa 40.56%
2 North_Italian 13.90%
3 Mandenka 11.83%
4 SANDAWE 8.54%
5 Biaka_Pygmies 8.02%
6 Bantu_S.E._Tswana 6.11%
7 Mozabite 5.67%
8 Fulani 4.27%
9 French_Basque 1.08%
10 Morocco_S 0.00%
Total RMSD: 1.191497
Elapsed time 0.4241 seconds.
GEDmatch.Com Oracle
This program is based on 'Oracle v1' by Dienekes Pontikos. His original program was
developed as part of the Dodecad Ancestry Project. More information on Dienekes'
orignal program can be found here.
Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle
program developed.
World9 Oracle results:
Kit F214911
Admix Results (sorted):
# Population Percent
1 African 77.24
2 Atlantic_Baltic 10.96
3 Southern 6.44
4 Amerindian 4.02
5 Caucasus_Gedrosia 0.74
6 South_Asian 0.47
7 Siberian 0.13
Single Population Sharing:
# Population (source) Distance
1 ASW30 (HapMap3) 6.42
2 San_He 13.72
3 ACB30 14.54
4 Hadza_He 14.87
5 Sandawe_He 16.92
6 MKK30 (Dodecad) 20.34
7 Bantu_N.E. (HGDP) 21
8 LWK30 (Behar) 21.85
9 Mandenka 24.67
10 Bantu_S.W._Herero (HGDP) 27.45
11 YRI30 (HGDP) 27.84
12 San 27.92
13 Yoruba (HGDP) 28.33
14 Bantu_S.E._Tswana (HGDP) 28.37
15 Biaka_Pygmies 29.08
16 Mbuti_Pygmies 29.08
17 Dominican 46.3
18 Somali (Dodecad) 48.55
19 Ethiopians (Behar) 52.89
20 Ethiopian_Jews (Behar) 55.7
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 71.3%Yoruba (HGDP) + 28.7%Puerto_Rican @ 0.8
2 71.7%YRI30 (HGDP) + 28.3%Puerto_Rican @ 0.85
3 71.3%Bantu_S.E._Tswana
(HGDP) + 28.7%Puerto_Rican @ 0.85
4 70.8%Biaka_Pygmies + 29.2%Puerto_Rican @ 0.87
5 70.8%Mbuti_Pygmies + 29.2%Puerto_Rican @ 0.87
6 74.3%YRI30 (HGDP) + 25.7%PUR30 @ 1.05
7 72%Bantu_S.W._Herero
(HGDP) + 28%Puerto_Rican @ 1.05
8 73.9%Yoruba (HGDP) + 26.1%PUR30 @ 1.06
9 73.9%Bantu_S.E._Tswana
(HGDP) + 26.1%PUR30 @ 1.12
10 62.1%Yoruba (HGDP) + 37.9%Dominican @ 1.18
11 62.5%YRI30 (HGDP) + 37.5%Dominican @ 1.19
12 73.4%Biaka_Pygmies + 26.6%PUR30 @ 1.19
13 73.4%Mbuti_Pygmies + 26.6%PUR30 @ 1.19
14 62%Bantu_S.E._Tswana
(HGDP) + 38%Dominican @ 1.2
15 74.5%Bantu_S.W._Herero
(HGDP) + 25.5%PUR30 @ 1.22
16 61.4%Biaka_Pygmies + 38.6%Dominican @ 1.23
17 61.4%Mbuti_Pygmies + 38.6%Dominican @ 1.23
18 62.8%Bantu_S.W._Herero
(HGDP) + 37.2%Dominican @ 1.27
19 86%ACB30 + 14%CLM30 @ 1.35
20 71.6%San + 28.4%Puerto_Rican @ 1.53
Gedmatch.Com
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.
Revised: Dec 6, 2012
9 components mode.
Component threshold auto-set to 1.340%. Admix results below that value will not be
considered.
Kit Number: F214911
Admix Results (sorted):
# Population Percent
1 African 78.29
2 Atlantic_Baltic 11.11
3 Southern 6.52
4 Amerindian 4.08
--------------------------------
Least-squares method.
Using 1 population approximation:
1 ASW30 @ 5.504
2 ACB30 @ 12.378
3 San_He @ 12.662
4 Hadza_He @ 14.595
5 Sandawe_He @ 18.155
6 Bantu_N.E. @ 18.777
7 LWK30 @ 19.461
8 MKK30 @ 21.643
9 Mandenka @ 21.768
10 Bantu_S.W._Herero @ 24.190
250 iterations.
Using 2 populations approximation:
1 50% ASW30 +50% ASW30 @ 5.504
2 50% ASW30 +50% Hadza_He @ 8.182
3 50% ASW30 +50% ACB30 @ 8.342
4 50% ASW30 +50% Sandawe_He @ 8.386
5 50% ASW30 +50% San_He @ 8.499
6 50% Bantu_S.E._Pedi +50% Dominican @ 8.956
7 50% Bantu_S.E._S.Sotho +50% Dominican @ 8.956
8 50% Biaka_Pygmies +50% Dominican @ 8.956
9 50% Mbuti_Pygmies +50% Dominican @ 8.956
10 50% Bantu_S.E._Tswana +50% Dominican @ 9.252
31375 iterations.
Using 3 populations approximation:
1 50% YRI30 +25% Yoruba +25% PUR30 @ 1.716
2 50% Bantu_S.W._Ovambo +25% Yoruba +25% PUR30 @ 1.716
3 50% Bantu_S.W._Ovambo +25% Bantu_S.W._Ovambo +25% PUR30 @ 1.717
4 50% Bantu_S.W._Ovambo +25% YRI30 +25% PUR30 @ 1.719
5 50% Yoruba +25% YRI30 +25% PUR30 @ 1.719
6 50% YRI30 +25% Bantu_S.W._Ovambo +25% PUR30 @ 1.721
7 50% Yoruba +25% Bantu_S.W._Ovambo +25% PUR30 @ 1.722
8 50% YRI30 +25% YRI30 +25% PUR30 @ 1.725
9 50% YRI30 +25% Bantu_S.E._Pedi +25% PUR30 @ 1.725
10 50% YRI30 +25% Bantu_S.E._S.Sotho +25% PUR30 @ 1.725
1160472 iterations.
Using 4 populations approximation:
1 Bantu_S.W._Ovambo + Yoruba + YRI30 + PUR30 @ 1.716
2 Yoruba + YRI30 + YRI30 + PUR30 @ 1.716
3 Bantu_S.W._Ovambo + Bantu_S.W._Ovambo + Yoruba + PUR30 @ 1.716
4 Bantu_S.W._Ovambo + Bantu_S.W._Ovambo + Bantu_S.W._Ovambo + PUR30 @
1.717
5 Bantu_S.W._Ovambo + Bantu_S.W._Ovambo + YRI30 + PUR30 @ 1.719
6 Yoruba + Yoruba + YRI30 + PUR30 @ 1.719
7 Bantu_S.W._Ovambo + YRI30 + YRI30 + PUR30 @ 1.721
8 Bantu_S.W._Ovambo + Yoruba + Yoruba + PUR30 @ 1.722
9 YRI30 + YRI30 + YRI30 + PUR30 @ 1.725
10 Bantu_S.E._Pedi + YRI30 + YRI30 + PUR30 @ 1.725
11 Bantu_S.E._S.Sotho + YRI30 + YRI30 + PUR30 @ 1.725
12 Biaka_Pygmies + YRI30 + YRI30 + PUR30 @ 1.725
13 Mbuti_Pygmies + YRI30 + YRI30 + PUR30 @ 1.725
14 Bantu_S.E._Tswana + YRI30 + YRI30 + PUR30 @ 1.728
15 Bantu_S.E._Tswana + Bantu_S.W._Ovambo + YRI30 + PUR30 @ 1.728
16 Bantu_S.E._Tswana + Bantu_S.W._Ovambo + Bantu_S.W._Ovambo + PUR30 @
1.729
17 Bantu_S.E._Pedi + Bantu_S.W._Ovambo + YRI30 + PUR30 @ 1.729
18 Bantu_S.E._S.Sotho + Bantu_S.W._Ovambo + YRI30 + PUR30 @ 1.729
19 Bantu_S.W._Ovambo + Biaka_Pygmies + YRI30 + PUR30 @ 1.729
20 Bantu_S.W._Ovambo + Mbuti_Pygmies + YRI30 + PUR30 @ 1.729
3857174 iterations.
Done.
Elapsed time 2.2140 seconds.
Gedmatch.Com
World9 Oracle-x Population Fitting
This program is based on Larry Smiser's Population Fitting spreadsheet.
Questions about the method or results should be sent to him at lwsmiser@gmail.com
Finished reading population data. 250 populations found.
9 population clusters.
Kit Number: F214911
Admix Results:
# Population Percent
1 Amerindian 4.02
2 East_Asian 0.00
3 African 77.24
4 Atlantic_Baltic 10.96
5 Australasian 0.00
6 Siberian 0.13
7 Caucasus_Gedrosia 0.74
8 Southern 6.44
9 South_Asian 0.47
Pct. Calc. Option 2
1 ASW30 74.30%
2 Hadza_He 9.30%
3 PEL30 6.56%
4 San_He 5.06%
5 Ethiopian_Jews 2.04%
6 Somali 1.59%
7 Dominican 1.12%
8 Yemen_Jews 0.01%
9 Moroccans 0.01%
10 Ethiopians 0.00%
Total RMSD: 1.093583
Elapsed time 0.7418 seconds.
GEDmatch.Com Oracle
This program is based on 'Oracle v1' by Dienekes Pontikos. His original program was
developed as part of the Dodecad Ancestry Project. More information on Dienekes'
orignal program can be found here.
Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle
program developed.
Dodecad K7b Oracle results:
The GEDmatch version of Oracle may give slightly different results from Dienekes
version. The GEDmatch version uses FST weighting in its calculations.
Kit F214911
Admix Results (sorted):
# Population Percent
1 African 78.47
2 Atlantic_Baltic 11.98
3 Southern 4.4
4 West_Asian 2.22
5 Siberian 1.53
6 East_Asian 1.23
7 South_Asian 0.18
Single Population Sharing:
# Population (source) Distance
1 ASW30 (HapMap3) 9.04
2 Sandawe (Henn) 18.04
3 MKK30 (Dodecad) 21.32
4 LWK30 (Behar) 24.44
5 Bantu_N.E. (HGDP) 25.46
6 Mandenka (HGDP) 27.93
7 Bantu_S.E._Tswana (HGDP) 28.33
8 Bantu_S.W._Herero (HGDP) 28.5
9 Yoruba (HGDP) 28.97
10 YRI30 (HGDP) 28.97
11 Somali (Dodecad) 49.39
12 Ethiopian_Jews (Behar) 60.17
13 Ethiopians (Behar) 61.66
14 Moroccans (Behar) 85.19
15 Algerian (Dodecad) 86.73
16 Mozabite (HGDP) 86.88
17 Yemenese (Behar) 90.17
18 Egyptans (Behar) 90.65
19 Moroccan (Dodecad) 90.8
20 Palestinian (HGDP) 101.82
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 82.1%LWK30 (Behar) + 17.9%Mordovians
(Yunusbayev) @ 2.03
2 81.3%Bantu_N.E. (HGDP) + 18.7%Hungarians (Behar) @ 2.06
3 82.2%LWK30 (Behar) + 17.8%Mixed_Slav (Dodecad) @ 2.15
4 81.9%LWK30 (Behar) + 18.1%Hungarians (Behar) @ 2.17
5 82.2%LWK30 (Behar) + 17.8%Ukranians (Yunusbayev) @ 2.2
6 82.3%LWK30 (Behar) + 17.7%Russian_B (Behar) @ 2.3
7 82.2%LWK30 (Behar) + 17.8%Russian (HGDP) @ 2.31
8 90.8%ASW30 (HapMap3) + 9.2%Algerian (Dodecad) @ 2.32
9 92.2%ASW30 (HapMap3) + 7.8%Morocco_Jews (Behar) @ 2.34
10 92.3%ASW30 (HapMap3) + 7.7%Sephardic_Jews (Behar) @ 2.43
11 92.2%ASW30 (HapMap3) + 7.8%Bedouin (HGDP) @ 2.47
12 91.2%ASW30 (HapMap3) + 8.8%Egyptans (Behar) @ 2.47
13 82.2%LWK30 (Behar) + 17.8%German (Dodecad) @ 2.49
14 82.2%LWK30 (Behar) + 17.8%Dutch (Dodecad) @ 2.53
15 82.2%LWK30 (Behar) + 17.8%Mixed_Germanic
(Dodecad) @ 2.55
16 79.2%Bantu_S.E._Tswana
(HGDP) + 20.8%N_Italian (Dodecad) @ 2.57
17 79%Bantu_S.E._Tswana
(HGDP) + 21%Romanians (Behar) @ 2.59
18 92.4%ASW30 (HapMap3) + 7.6%Ashkenazi (Dodecad) @ 2.59
19 92.2%ASW30 (HapMap3) + 7.8%Palestinian (HGDP) @ 2.6
20 81.4%Bantu_N.E. (HGDP) + 18.6%French (HGDP) @ 2.61
Gedmatch.Com
Dodecad K7b 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.
Revised: Dec 6, 2012
7 components mode.
Component threshold auto-set to 1.720%. Admix results below that value will not be
considered.
Kit Number: F214911
Admix Results (sorted):
# Population Percent
1 African 80.85
2 Atlantic_Baltic 12.34
3 Southern 4.53
4 West_Asian 2.29
--------------------------------
Least-squares method.
Using 1 population approximation:
1 ASW30 @ 5.718
2 Sandawe @ 19.360
3 LWK30 @ 19.856
4 Bantu_N.E. @ 20.625
5 Mandenka @ 22.471
6 MKK30 @ 22.794
7 Bantu_S.E._Tswana @ 22.829
8 Bantu_S.W._Herero @ 22.998
9 Bantu_S.E._Zulu @ 23.100
10 Bantu_S.E._Pedi @ 23.343
223 iterations.
Using 2 populations approximation:
1 50% ASW30 +50% ASW30 @ 5.718
2 50% ASW30 +50% Sandawe @ 8.538
3 50% ASW30 +50% MKK30 @ 9.736
4 50% ASW30 +50% LWK30 @ 12.008
5 50% ASW30 +50% Bantu_N.E. @ 12.473
6 50% ASW30 +50% Mandenka @ 13.551
7 50% ASW30 +50% Bantu_S.E._Tswana @ 13.765
8 50% ASW30 +50% Bantu_S.W._Herero @ 13.841
9 50% ASW30 +50% Bantu_S.E._Zulu @ 13.893
10 50% ASW30 +50% Bantu_S.E._Pedi @ 14.017
24976 iterations.
Using 3 populations approximation:
1 50% ASW30 +25% ASW30 +25% MKK30 @ 4.291
2 50% ASW30 +25% ASW30 +25% Sandawe @ 4.482
3 50% ASW30 +25% ASW30 +25% ASW30 @ 5.718
4 50% Bantu_S.E._Pedi +25% Bantu_S.E._Pedi +25% Canarias @ 6.397
5 50% Bantu_S.E._Pedi +25% Bantu_S.E._S.Sotho +25% Canarias @ 6.397
6 50% Bantu_S.E._Pedi +25% Bantu_S.W._Ovambo +25% Canarias @ 6.397
7 50% Bantu_S.E._Pedi +25% Canarias +25% Yoruba @ 6.397
8 50% Bantu_S.E._Pedi +25% Canarias +25% YRI30 @ 6.397
9 50% Bantu_S.E._S.Sotho +25% Bantu_S.E._Pedi +25% Canarias @ 6.397
10 50% Bantu_S.E._S.Sotho +25% Bantu_S.E._S.Sotho +25% Canarias @ 6.397
609481 iterations.
Using 4 populations approximation:
1 ASW30 + ASW30 + ASW30 + MKK30 @ 4.291
2 ASW30 + ASW30 + ASW30 + Sandawe @ 4.482
3 ASW30 + ASW30 + ASW30 + ASW30 @ 5.718
4 Bantu_S.E._Pedi + Bantu_S.E._Pedi + Bantu_S.E._Pedi + Canarias @ 6.397
5 Bantu_S.E._Pedi + Bantu_S.E._Pedi + Bantu_S.E._S.Sotho + Canarias @ 6.397
6 Bantu_S.E._Pedi + Bantu_S.E._Pedi + Bantu_S.W._Ovambo + Canarias @ 6.397
7 Bantu_S.E._Pedi + Bantu_S.E._Pedi + Canarias + Yoruba @ 6.397
8 Bantu_S.E._Pedi + Bantu_S.E._Pedi + Canarias + YRI30 @ 6.397
9 Bantu_S.E._Pedi + Bantu_S.E._S.Sotho + Bantu_S.E._S.Sotho + Canarias @ 6.397
10 Bantu_S.E._Pedi + Bantu_S.E._S.Sotho + Bantu_S.W._Ovambo + Canarias @ 6.397
11 Bantu_S.E._Pedi + Bantu_S.E._S.Sotho + Canarias + Yoruba @ 6.397
12 Bantu_S.E._Pedi + Bantu_S.E._S.Sotho + Canarias + YRI30 @ 6.397
13 Bantu_S.E._Pedi + Bantu_S.W._Ovambo + Bantu_S.W._Ovambo + Canarias @
6.397
14 Bantu_S.E._Pedi + Bantu_S.W._Ovambo + Canarias + Yoruba @ 6.397
15 Bantu_S.E._Pedi + Bantu_S.W._Ovambo + Canarias + YRI30 @ 6.397
16 Bantu_S.E._Pedi + Canarias + Yoruba + Yoruba @ 6.397
17 Bantu_S.E._Pedi + Canarias + Yoruba + YRI30 @ 6.397
18 Bantu_S.E._Pedi + Canarias + YRI30 + YRI30 @ 6.397
19 Bantu_S.E._S.Sotho + Bantu_S.E._S.Sotho + Bantu_S.E._S.Sotho + Canarias @
6.397
20 Bantu_S.E._S.Sotho + Bantu_S.E._S.Sotho + Bantu_S.W._Ovambo + Canarias @
6.397
1998900 iterations.
Done.
Elapsed time 1.0711 seconds.
Gedmatch.Com
Dodecad K7b Oracle-x Population Fitting
This program is based on Larry Smiser's Population Fitting spreadsheet.
Questions about the method or results should be sent to him at lwsmiser@gmail.com
Finished reading population data. 223 populations found.
7 population clusters.
Kit Number: F214911
Admix Results:
# Population Percent
1 South_Asian 0.18
2 West_Asian 2.22
3 Siberian 1.53
4 African 78.47
5 Southern 4.40
6 Atlantic_Baltic 11.98
7 East_Asian 1.23
Pct. Calc. Option 2
0 Unable to determine 0.02%
1 ASW30 74.49%
2 Samaritians 8.60%
3 Bantu_S.E._Zulu 4.81%
4 Bantu_S.E._Tswana 4.63%
5 Bantu_S.E._S.Sotho 4.18%
6 FIN30 1.97%
7 Oroqen 1.06%
8 Hezhen 0.12%
9 Daur 0.12%
10 Finnish 0.01%
Total RMSD: 1.301926
Elapsed time 0.3573 seconds.
GEDmatch.Com Oracle
This program is based on 'Oracle v1' by Dienekes Pontikos. His original program was
developed as part of the Dodecad Ancestry Project. More information on Dienekes'
orignal program can be found here.
Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle
program developed.
Dodecad K12b Oracle results:
The GEDmatch version of Oracle may give slightly different results from Dienekes
version. The GEDmatch version uses FST weighting in its calculations.
Kit F214911
Admix Results (sorted):
# Population Percent
1 Sub_Saharan 70.55
2 East_African 9.1
3 North_European 6.97
4 Atlantic_Med 5.53
5 Caucasus 2.01
6 Northwest_African 1.59
7 East_Asian 1.28
8 Siberian 1.26
9 Gedrosia 0.95
10 Southwest_Asian 0.36
11 South_Asian 0.21
12 Southeast_Asian 0.17
Single Population Sharing:
# Population (source) Distance
1 ASW30 (HapMap3) 18.19
2 Bantu_N.E. (HGDP) 19.04
3 LWK30 (Behar) 19.73
4 Bantu_S.E._Tswana (HGDP) 22.86
5 Bantu_S.W._Herero (HGDP) 26.8
6 Mandenka (HGDP) 35.34
7 Yoruba (HGDP) 38.45
8 YRI30 (HGDP) 38.45
9 MKK30 (Dodecad) 79.55
10 Sandawe_He (Henn) 81.87
11 Algerian (Dodecad) 86.37
12 Yemenese (Behar) 86.5
13 Moroccans (Behar) 88.52
14 Egyptans (Behar) 89.66
15 Moroccan (Dodecad) 92.78
16 Uzbeks (Behar) 93.97
17 Jordanians (Behar) 94.29
18 O_Italian (Dodecad) 94.35
19 Turkmens (Yunusbayev) 94.36
20 Tajiks (Yunusbayev) 94.49
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 81.4%Bantu_S.E._Tswana
(HGDP) + 18.6%German (Dodecad) @ 3.42
2 81.2%Bantu_S.E._Tswana
(HGDP) + 18.8%Hungarians (Behar) @ 3.44
3 81.4%Bantu_S.E._Tswana
(HGDP) + 18.6%Mixed_Germanic
(Dodecad) @ 3.59
4 81.3%Bantu_S.E._Tswana
(HGDP) + 18.7%French (Dodecad) @ 3.75
5 81.5%Bantu_S.E._Tswana
(HGDP) + 18.5%Dutch (Dodecad) @ 3.75
6 81.4%Bantu_S.E._Tswana
(HGDP) + 18.6%French (HGDP) @ 3.83
7 81.6%Bantu_S.E._Tswana
(HGDP) + 18.4%Kent (1000Genomes) @ 3.97
8 81.6%Bantu_S.E._Tswana
(HGDP) + 18.4%CEU30 (1000Genomes) @ 3.99
9 81.6%Bantu_S.E._Tswana
(HGDP) + 18.4%English (Dodecad) @ 4.01
10 81%Bantu_S.E._Tswana
(HGDP) + 19%Romanians (Behar) @ 4.14
11 81.7%Bantu_S.E._Tswana
(HGDP) + 18.3%British_Isles (Dodecad) @ 4.15
12 81.7%Bantu_S.E._Tswana
(HGDP) + 18.3%Cornwall (1000Genomes) @ 4.23
13 81.7%Bantu_S.E._Tswana
(HGDP) + 18.3%British (Dodecad) @ 4.26
14 81.7%Bantu_S.E._Tswana
(HGDP) + 18.3%Argyll (1000Genomes) @ 4.27
15 81.8%Bantu_S.E._Tswana
(HGDP) + 18.2%Orkney (1000Genomes) @ 4.35
16 81.7%Bantu_S.E._Tswana
(HGDP) + 18.3%Irish (Dodecad) @ 4.36
17 81.8%Bantu_S.E._Tswana
(HGDP) + 18.2%Orcadian (HGDP) @ 4.37
18 81%Bantu_S.E._Tswana
(HGDP) + 19%Bulgarian (Dodecad) @ 4.37
19 81.1%Bantu_S.E._Tswana
(HGDP) + 18.9%Bulgarians (Yunusbayev) @ 4.38
20 81.9%Bantu_S.E._Tswana
(HGDP) + 18.1%Norwegian (Dodecad) @ 4.5
Gedmatch.Com
Dodecad K12b 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.
Revised: Dec 6, 2012
12 components mode.
Component threshold auto-set to 1.010%. Admix results below that value will not be
considered.
Kit Number: F214911
Admix Results (sorted):
# Population Percent
1 Sub_Saharan 71.77
2 East_African 9.26
3 North_European 7.09
4 Atlantic_Med 5.62
5 Caucasus 2.04
6 Northwest_African 1.62
7 East_Asian 1.31
8 Siberian 1.28
--------------------------------
Least-squares method.
Using 1 population approximation:
1 ASW30 @ 14.420
2 Bantu_N.E. @ 17.371
3 LWK30 @ 18.269
4 Bantu_S.E._Tswana @ 18.707
5 Bantu_S.E._Pedi @ 18.842
6 Bantu_S.E._Zulu @ 20.115
7 Bantu_S.E._S.Sotho @ 20.444
8 Bantu_S.W._Herero @ 21.673
9 Bantu_S.W._Ovambo @ 24.015
10 Mandenka @ 28.775
223 iterations.
Using 2 populations approximation:
1 50% ASW30 +50% LWK30 @ 10.402
2 50% ASW30 +50% Bantu_N.E. @ 10.805
3 50% ASW30 +50% ASW30 @ 14.420
4 50% ASW30 +50% Bantu_S.E._Tswana @ 15.070
5 50% ASW30 +50% Bantu_S.E._Pedi @ 15.176
6 50% ASW30 +50% Bantu_S.E._Zulu @ 16.102
7 50% ASW30 +50% Bantu_S.E._S.Sotho @ 16.325
8 50% Bantu_S.E._Tswana +50% LWK30 @ 16.500
9 50% Bantu_S.E._Pedi +50% LWK30 @ 16.504
10 50% Bantu_N.E. +50% Bantu_S.E._Tswana @ 16.578
24976 iterations.
Using 3 populations approximation:
1 50% Bantu_S.E._Tswana +25% Hungarians +25% Yoruba @ 7.451
2 50% Bantu_S.E._Tswana +25% Hungarians +25% YRI30 @ 7.451
3 50% Bantu_S.W._Ovambo +25% Bantu_S.E._Pedi +25% Hungarians @ 7.451
4 50% Bantu_S.W._Ovambo +25% Bantu_S.E._Tswana +25% Hungarians @ 7.452
5 50% Bantu_S.E._Pedi +25% Hungarians +25% Yoruba @ 7.452
6 50% Bantu_S.E._Pedi +25% Hungarians +25% YRI30 @ 7.452
7 50% Yoruba +25% Hungarians +25% LWK30 @ 7.455
8 50% YRI30 +25% Hungarians +25% LWK30 @ 7.455
9 50% Bantu_S.W._Herero +25% Bantu_S.W._Ovambo +25% Hungarians @ 7.459
10 50% Bantu_S.W._Herero +25% Bantu_S.W._Herero +25% Hungarians @ 7.468
605458 iterations.
Using 4 populations approximation:
1 Bantu_S.E._Tswana + Bantu_S.E._Tswana + Hungarians + Yoruba @ 7.451
2 Bantu_S.E._Tswana + Bantu_S.E._Tswana + Hungarians + YRI30 @ 7.451
3 Bantu_S.E._Pedi + Bantu_S.W._Ovambo + Bantu_S.W._Ovambo + Hungarians @
7.451
4 Bantu_S.E._Pedi + Bantu_S.E._Tswana + Hungarians + Yoruba @ 7.451
5 Bantu_S.E._Pedi + Bantu_S.E._Tswana + Hungarians + YRI30 @ 7.451
6 Bantu_S.E._Tswana + Bantu_S.W._Ovambo + Bantu_S.W._Ovambo + Hungarians @
7.452
7 Bantu_S.E._Pedi + Bantu_S.E._Pedi + Hungarians + Yoruba @ 7.452
8 Bantu_S.E._Pedi + Bantu_S.E._Pedi + Hungarians + YRI30 @ 7.452
9 Bantu_S.E._S.Sotho + Bantu_S.W._Herero + Bantu_S.W._Ovambo + Hungarians @
7.452
10 Hungarians + LWK30 + Yoruba + Yoruba @ 7.455
11 Hungarians + LWK30 + Yoruba + YRI30 @ 7.455
12 Hungarians + LWK30 + YRI30 + YRI30 @ 7.455
13 Bantu_S.E._Zulu + Bantu_S.W._Herero + Bantu_S.W._Ovambo + Hungarians @
7.457
14 Bantu_S.W._Herero + Bantu_S.W._Herero + Bantu_S.W._Ovambo + Hungarians @
7.459
15 Bantu_S.W._Herero + Bantu_S.W._Herero + Bantu_S.W._Herero + Hungarians @
7.468
16 Bantu_S.E._Zulu + Bantu_S.W._Ovambo + Bantu_S.W._Ovambo + Hungarians @
7.472
17 Bantu_S.E._S.Sotho + Bantu_S.E._S.Sotho + Bantu_S.W._Ovambo + Hungarians @
7.479
18 Bantu_S.E._Tswana + Bantu_S.E._Zulu + Hungarians + Yoruba @ 7.480
19 Bantu_S.E._Tswana + Bantu_S.E._Zulu + Hungarians + YRI30 @ 7.480
20 Bantu_S.E._S.Sotho + Bantu_S.W._Ovambo + Bantu_S.W._Ovambo + Hungarians
@ 7.483
2641111 iterations.
Done.
Elapsed time 2.0154 seconds.
Gedmatch.Com
Dodecad K12b Oracle-x Population Fitting
This program is based on Larry Smiser's Population Fitting spreadsheet.
Questions about the method or results should be sent to him at lwsmiser@gmail.com
Finished reading population data. 223 populations found.
12 population clusters.
Kit Number: F214911
Admix Results:
# Population Percent
1 Gedrosia 0.95
2 Siberian 1.26
3 Northwest_African 1.59
4 Southeast_Asian 0.17
5 Atlantic_Med 5.53
6 North_European 6.97
7 South_Asian 0.21
8 East_African 9.10
9 Southwest_Asian 0.36
10 East_Asian 1.28
11 Caucasus 2.01
12 Sub_Saharan 70.55
Pct. Calc. Option 2
0 Unable to determine 0.01%
1 ASW30 58.39%
2 Mandenka 17.90%
3 Somali 6.22%
4 Sandawe_He 6.19%
5 Chuvashs 4.90%
6 Yoruba 2.17%
7 Nogais 1.85%
8 Andalucia 1.26%
9 Naga 1.11%
10 MKK30 0.00%
Total RMSD: 0.440808
Elapsed time 0.5645 seconds.
