Proportions Oracles Results
 |
| GENY DOS SANTOS FLORENTINO |
Proportions Oracles Results
The Dodecad V3 (dv3) admixture calculator is courtesy of Dienekes
Pontikos and was developed as part of the Dodecad Ancestry Project; more
information here.
Kit Number: F229750 Iteration: 1000 Delta-Q: 2.652475e-02 Elapsed
Time: 58.16 seconds
Population
East_Europ
ean
2.08
%
West_Europ
ean
1.77
%
Mediterrane
an -
Neo_Africa
n
51.4
4%
West_Asian -
South_Asia
n
0.77
%
Northeast_
Asian
1.10
%
Southeast_
Asian -
East_Africa
n
9.44
%
Southwest_
Asian -
Northwest_
African
3.15
%
Palaeo_Afri
can
30.2
1%
Web site and contents ©Copyright 2011-2014 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
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 F229750
Admix Results (sorted):
# Population Percent
1 Neo_African 51.44
2 Palaeo_African 30.21
3 East_African 9.44
4 Northwest_African 3.15
5 East_European 2.08
6 West_European 1.77
7 Northeast_Asian 1.1
8 South_Asian 0.77
9 Mediterranean 0.02
Single Population Sharing:
# Population (source) Distance
1 Kaba (Henn) 7.56
2 LWK (HapMap) 7.72
3 Luhya (Henn) 8.77
4 Kongo (Henn) 8.78
5 Hausa (Henn) 8.97
6 Bamoun (Henn) 9.04
7 Luhya (Xing) 9.59
8 Fang (Henn) 9.9
9 Brong (Henn) 10.15
10 Igbo (Henn) 10.32
11 Mada (Henn) 11.82
12 ASW (HapMap) 11.84
13 Nguni (Xing) 12.29
14 Bambaran (Xing) 12.97
15 Pedi (Xing) 12.99
16 Xhosa (Henn) 15.44
17 Dogon (Xing) 15.51
18 Yoruba (Henn) 17.44
19 Alur (Xing) 18.86
20 Sotho_Tswana (Xing) 19.45
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 87.2%Bamoun (Henn) + 12.8%Morocco_S (Henn) @ 3.68
2 76.1%Kongo (Henn) + 23.9%Fulani (Henn) @ 3.72
3 91.4%Bamoun (Henn) + 8.6%Chuvashs_16 (Behar) @ 3.85
4 90.1%Bamoun (Henn) + 9.9%Morocco_N (Henn) @ 3.89
5 89.3%Bamoun (Henn) + 10.7%Algeria (Henn) @ 3.95
6 89.6%Bamoun (Henn) + 10.4%Sahara_OCC (Henn) @ 4.01
7 91.7%Bamoun (Henn) + 8.3%Russian (HGDP) @ 4.07
8 90.8%Bamoun (Henn) + 9.2%TUNISIA (Henn) @ 4.09
9 75.9%Bamoun (Henn) + 24.1%Fulani (Henn) @ 4.12
10 91.6%Bamoun (Henn) + 8.4%Mixed_Slav (Dodecad) @ 4.16
11 58.9%Kongo (Henn) + 41.1%ASW (HapMap) @ 4.16
12 90.5%Bamoun (Henn) + 9.5%North_African (Dodecad) @ 4.17
13 87.9%Kongo (Henn) + 12.1%Morocco_S (Henn) @ 4.18
14 89.7%Bamoun (Henn) + 10.3%Moroccans (Behar) @ 4.2
15 91.9%Bamoun (Henn) + 8.1%Finnish (Dodecad) @ 4.24
16 91.7%Bamoun (Henn) + 8.3%Polish (Dodecad) @ 4.25
17 73.9%Fang (Henn) + 26.1%Fulani (Henn) @ 4.28
18 91.5%Bamoun (Henn) + 8.5%Hungarians (Behar) @ 4.3
19 58.1%Bamoun (Henn) + 41.9%ASW (HapMap) @ 4.3
20 91.5%Bamoun (Henn) + 8.5%Slovenian (Xing) @ 4.33
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: F229750
Admix Results (sorted):
# Population Percent
1 Neo_African 51.85
2 Palaeo_African 30.46
3 East_African 9.52
4 Northwest_African 3.18
5 East_European 2.10
6 West_European 1.79
7 Northeast_Asian 1.11
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Kaba @ 7.034
2 Kongo @ 7.217
3 Bamoun @ 7.579
4 Hausa @ 7.640
5 LWK @ 7.697
6 Fang @ 7.977
7 Brong @ 8.612
8 Igbo @ 8.765
9 Luhya @ 9.054
10 Luhya @ 9.675
227 iterations.
Using 2 populations approximation:
1 50% ASW +50% Kongo @ 5.016
2 50% ASW +50% Bamoun @ 5.050
3 50% ASW +50% Fang @ 5.210
4 50% ASW +50% Hausa @ 5.401
5 50% ASW +50% Kaba @ 5.438
6 50% ASW +50% Brong @ 5.527
7 50% ASW +50% Igbo @ 5.529
8 50% ASW +50% LWK @ 5.959
9 50% Igbo +50% Luhya @ 6.183
10 50% Mandenka +50% Alur @ 6.204
25878 iterations.
Using 3 populations approximation:
1 50% Hausa +25% ASW +25% Pedi @ 3.750
2 50% Hausa +25% ASW +25% Nguni @ 3.867
3 50% Kongo +25% Bamoun +25% Fulani @ 3.946
4 50% Kongo +25% Fulani +25% Kongo @ 3.948
5 50% Bamoun +25% Fang +25% Fulani @ 3.967
6 50% Kongo +25% ASW +25% Luhya @ 3.997
7 50% Bamoun +25% ASW +25% Luhya @ 4.003
8 50% Nguni +25% Fulani +25% Yoruba @ 4.008
9 50% Fang +25% Brong +25% Fulani @ 4.009
10 50% Brong +25% Fulani +25% Sotho_Tswana @ 4.010
365881 iterations.
Using 4 populations approximation:
1 ASW + Hausa + Hausa + Pedi @ 3.750
2 ASW + Hausa + Kaba + Pedi @ 3.797
3 ASW + LWK + Fang + Hausa @ 3.818
4 ASW + Fang + Hausa + Luhya @ 3.826
5 ASW + Fang + Hausa + Luhya @ 3.830
6 ASW + Hausa + Kongo + Luhya @ 3.849
7 ASW + LWK + Hausa + Kongo @ 3.866
8 ASW + Hausa + Hausa + Nguni @ 3.867
9 ASW + Igbo + Kongo + Luhya @ 3.871
10 ASW + Luhya + Dogon + Pedi @ 3.872
11 ASW + Brong + Fang + Luhya @ 3.873
12 ASW + Dogon + Luhya + Pedi @ 3.874
13 ASW + Fang + Igbo + Luhya @ 3.876
14 ASW + Mandenka + Alur + Pedi @ 3.892
15 ASW + Fang + Igbo + Luhya @ 3.893
16 ASW + Brong + Kongo + Luhya @ 3.895
17 ASW + Hausa + Kaba + Nguni @ 3.899
18 ASW + Brong + Fang + Luhya @ 3.899
19 ASW + Hausa + Kongo + Luhya @ 3.900
20 ASW + Yoruba + Luhya + Pedi @ 3.900
4704189 iterations.
Done.
Elapsed time 2.7317 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: F229750
Admix Results:
# Population Percent
1 East_European 2.08
2 West_European 1.77
3 Mediterranean 0.02
4 Neo_African 51.44
5 West_Asian 0.00
6 South_Asian 0.77
7 Northeast_Asian 1.10
8 Southeast_Asian 0.00
9 East_African 9.44
10 Southwest_Asian 0.00
11 Northwest_African 3.15
12 Palaeo_African 30.21
Pct. Calc. Option 2
0 Unable to determine 0.01%
1 Bamoun 69.78%
2 YRI 12.07%
3 Mozabite 5.72%
4 Maasai 4.52%
5 Chuvashs_16 4.51%
6 Bulala 2.38%
7 Finnish 0.99%
8 East_African 0.01%
9 Siddi 0.00%
10 Vaish 0.00%
Total RMSD: 0.668277
Elapsed time 0.5593 seconds.
My Autossomal Africa9 Admixture Proportions
The Africa9 admixture calculator is courtesy of Dienekes Pontikos and was
developed as part of the Dodecad Ancestry Project; more information here.
Kit Number: F229750 Iteration: 1000 Delta-Q: 1.802786e-05 Elapsed
Time: 11.77 seconds
Populat
ion
Europe 6.65
%
NW_Af
rica
3.36
%
SW_As
ia -
E_Afric
a
8.57
%
S_Afric
a
14.2
2%
Mbuti 2.09
%
W_Afri
ca
53.9
2%
Biaka 9.54
%
San 1.65
%
Web site and contents ©Copyright 2011-2014 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
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.
Africa9 Oracle results:
Kit F229750
Admix Results (sorted):
# Population Percent
1 W_Africa 53.92
2 S_Africa 14.22
3 Biaka 9.54
4 E_Africa 8.57
5 Europe 6.65
6 NW_Africa 3.36
7 Mbuti 2.09
8 San 1.65
Single Population Sharing:
# Population (source) Distance
1 Fang 12.08
2 Kongo 13.37
3 Bamoun 15.24
4 Luhya 17.28
5 Kaba 19.51
6 Bantu_N.E. 20.13
7 Hausa 21.85
8 Igbo 23.16
9 Mada 24.1
10 Yoruba 24.5
11 Brong 27.53
12 Mandenka 33.5
13 Fulani 33.81
14 Bulala 37
15 Maasai 56.94
16 Morocco_S 59.53
17 HADZA 64.19
18 Xhosa 64.56
19 SANDAWE 65.02
20 Algeria 66.19
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 89.2%Kongo + 10.8%North_Italian @ 7.4
2 92.3%Fang + 7.7%French_Basque @ 7.57
3 90.7%Fang + 9.3%North_Italian @ 7.59
4 89.2%Kongo + 10.8%Tuscan @ 7.65
5 86.1%Kongo + 13.9%North_African (Dodecad) @ 7.7
6 91.1%Kongo + 8.9%French_Basque @ 7.71
7 90.7%Fang + 9.3%Tuscan @ 7.81
8 88.1%Kongo + 11.9%Morocco_Jews @ 7.84
9 89.9%Fang + 10.1%Morocco_Jews @ 8.13
10 83.2%Bamoun + 16.8%HADZA @ 8.2
11 88.5%Fang + 11.5%North_African (Dodecad) @ 8.24
12 87.5%Kongo + 12.5%Morocco_N @ 8.36
13 88.6%Kongo + 11.4%North_African_Jews
(Dodecad) @ 8.4
14 86%Kongo + 14%HADZA @ 8.42
15 86.3%Kongo + 13.7%Algeria @ 8.42
16 83.6%Bamoun + 16.4%SANDAWE @ 8.56
17 90.5%Fang + 9.5%North_African_Jews
(Dodecad) @ 8.6
18 89.6%Fang + 10.4%Morocco_N @ 8.65
19 68.4%Fang + 31.6%Bantu_N.E. @ 8.68
20 86.4%Kongo + 13.6%SANDAWE @ 8.69
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: F229750
Admix Results (sorted):
# Population Percent
1 W_Africa 53.92
2 S_Africa 14.22
3 Biaka 9.54
4 E_Africa 8.57
5 Europe 6.65
6 NW_Africa 3.36
7 Mbuti 2.09
8 San 1.65
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Fang @ 12.507
2 Kongo @ 14.117
3 Bamoun @ 16.561
4 Luhya @ 18.944
5 Kaba @ 21.147
6 Bantu_N.E. @ 22.137
7 Hausa @ 24.144
8 Igbo @ 25.655
9 Mada @ 26.187
10 Yoruba @ 27.184
54 iterations.
Using 2 populations approximation:
1 50% Fang +50% Luhya @ 9.545
2 50% Kongo +50% Luhya @ 10.098
3 50% Bamoun +50% Luhya @ 10.166
4 50% Bantu_N.E. +50% Fang @ 10.242
5 50% Bamoun +50% Bantu_N.E. @ 11.008
6 50% Bantu_N.E. +50% Kongo @ 11.134
7 50% Fang +50% Fang @ 12.507
8 50% Fang +50% Kongo @ 12.638
9 50% Igbo +50% Luhya @ 13.294
10 50% Hausa +50% Luhya @ 13.437
1485 iterations.
Using 3 populations approximation:
1 50% Fang +25% Bantu_N.E. +25% Fang @ 8.723
2 50% Fang +25% Bantu_N.E. +25% Kongo @ 8.783
3 50% Fang +25% Kongo +25% Luhya @ 9.007
4 50% Fang +25% Bantu_N.E. +25% Fulani @ 9.043
5 50% Fang +25% Fang +25% Luhya @ 9.063
6 50% Fang +25% Bamoun +25% Bantu_N.E. @ 9.094
7 50% Fang +25% Fulani +25% Luhya @ 9.131
8 50% Fang +25% Bantu_S.E._Pedi +25% Mada @ 9.289
9 50% Kongo +25% Bantu_N.E. +25% Fang @ 9.341
10 50% Fang +25% Bamoun +25% Luhya @ 9.367
18960 iterations.
Using 4 populations approximation:
1 Bantu_N.E. + Fang + Fang + Fang @ 8.723
2 Bantu_N.E. + Fang + Fang + Kongo @ 8.783
3 Fang + Fang + Kongo + Luhya @ 9.007
4 Bantu_N.E. + Fang + Fang + Fulani @ 9.043
5 Fang + Fang + Fang + Luhya @ 9.063
6 Bamoun + Bantu_N.E. + Fang + Fang @ 9.094
7 Fang + Fang + Fulani + Luhya @ 9.131
8 Bantu_S.E._Pedi + Fang + Fang + Mada @ 9.289
9 Bamoun + Bantu_S.E._Pedi + Fang + Luhya @ 9.305
10 Bantu_S.E._Pedi + Fang + Kaba + Luhya @ 9.326
11 Bantu_N.E. + Fang + Kongo + Kongo @ 9.341
12 Bamoun + Fang + Fang + Luhya @ 9.367
13 Bamoun + Bantu_N.E. + Bantu_S.E._Pedi + Fang @ 9.372
14 Fang + Fulani + Kongo + Luhya @ 9.391
15 Bantu_S.E._S.Sotho + Fang + Fang + Mada @ 9.409
16 Bantu_N.E. + Fang + Fulani + Kongo @ 9.416
17 Bantu_S.E._Pedi + Fang + Fang + Luhya @ 9.445
18 Fang + Kongo + Kongo + Luhya @ 9.445
19 Bantu_N.E. + Bantu_S.E._Pedi + Fang + Fang @ 9.457
20 Bantu_S.E._S.Sotho + Fang + Fulani + Mada @ 9.521
30746 iterations.
Done.
Elapsed time 0.0293 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: F229750
Admix Results:
# Population Percent
1 Europe 6.65
2 NW_Africa 3.36
3 SW_Asia 0.00
4 E_Africa 8.57
5 S_Africa 14.22
6 Mbuti 2.09
7 W_Africa 53.92
8 Biaka 9.54
9 San 1.65
Pct. Calc. Option 2
0 Unable to determine 0.01%
1 Bamoun 57.86%
2 Fang 15.37%
3 SANDAWE 7.22%
4 French_Basque 7.17%
5 Fulani 4.23%
6 Xhosa 3.51%
7 Bantu_S.E._Pedi 2.72%
8 TUNISIA 0.96%
9 HADZA 0.95%
10 Bantu_S.W._Ovambo 0.00%
Total RMSD: 0.776414
Elapsed time 0.5373 seconds.
My Autossomal World9 Admixture Proportions
The World9 admixture calculator is courtesy of Dienekes Pontikos and was
developed as part of the Dodecad Ancestry Project; more information here.
Kit Number: F229750 Iteration: 1000 Delta-Q: 5.916501e-03 Elapsed
Time: 110.84 seconds
Population
Amerindian 1.55
%
East_Asian -
African 88.3
9%
Atlantic_Ba
ltic
5.07
%
Australasian 0.28
%
Siberian 0.21
%
Caucasus_G
edrosia
0.11
%
Southern 4.02
%
South_Asia
n
0.36
%
Web site and contents ©Copyright 2011-2014 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
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 F229750
Admix Results (sorted):
# Population Percent
1 African 88.39
2 Atlantic_Baltic 5.07
3 Southern 4.02
4 Amerindian 1.55
5 South_Asian 0.36
6 Australasian 0.28
7 Siberian 0.21
8 Caucasus_Gedrosia 0.11
Single Population Sharing:
# Population (source) Distance
1 ACB30 2.36
2 San_He 5.31
3 Bantu_N.E. (HGDP) 7.4
4 LWK30 (Behar) 7.88
5 Hadza_He 8.73
6 Mandenka 10.35
7 ASW30 (HapMap3) 10.72
8 Bantu_S.W._Herero (HGDP) 13.12
9 YRI30 (HGDP) 13.5
10 San 13.66
11 Yoruba (HGDP) 14.01
12 Bantu_S.E._Tswana (HGDP) 14.05
13 Biaka_Pygmies 14.78
14 Mbuti_Pygmies 14.78
15 Sandawe_He 21.06
16 MKK30 (Dodecad) 26.6
17 Somali (Dodecad) 58.25
18 Dominican 60.62
19 Ethiopians (Behar) 63.07
20 Ethiopian_Jews (Behar) 65.95
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 81.8%YRI30 (HGDP) + 18.2%Dominican @ 0.77
2 87.5%YRI30 (HGDP) + 12.5%PUR30 @ 0.84
3 86.3%YRI30 (HGDP) + 13.7%Puerto_Rican @ 0.9
4 82.2%Bantu_S.W._Herero
(HGDP) + 17.8%Dominican @ 0.95
5 81.3%Yoruba (HGDP) + 18.7%Dominican @ 0.95
6 81.2%Bantu_S.E._Tswana
(HGDP) + 18.8%Dominican @ 1.01
7 87.1%Yoruba (HGDP) + 12.9%PUR30 @ 1.04
8 87.9%Bantu_S.W._Herero
(HGDP) + 12.1%PUR30 @ 1.06
9 85.9%Yoruba (HGDP) + 14.1%Puerto_Rican @ 1.06
10 86.6%Bantu_S.W._Herero
(HGDP) + 13.4%Puerto_Rican @ 1.1
11 87.1%Bantu_S.E._Tswana
(HGDP) + 12.9%PUR30 @ 1.11
12 85.8%Bantu_S.E._Tswana
(HGDP) + 14.2%Puerto_Rican @ 1.11
13 80.5%Biaka_Pygmies + 19.5%Dominican @ 1.29
14 80.5%Mbuti_Pygmies + 19.5%Dominican @ 1.29
15 85.2%Biaka_Pygmies + 14.8%Puerto_Rican @ 1.38
16 85.2%Mbuti_Pygmies + 14.8%Puerto_Rican @ 1.38
17 86.5%Biaka_Pygmies + 13.5%PUR30 @ 1.41
18 86.5%Mbuti_Pygmies + 13.5%PUR30 @ 1.41
19 85.5%Mandenka + 14.5%Dominican @ 1.45
20 90.2%Mandenka + 9.8%PUR30 @ 1.52
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: F229750
Admix Results (sorted):
# Population Percent
1 African 89.26
2 Atlantic_Baltic 5.11
3 Southern 4.06
4 Amerindian 1.57
--------------------------------
Least-squares method.
Using 1 population approximation:
1 ACB30 @ 2.687
2 San_He @ 6.079
3 Bantu_N.E. @ 6.841
4 LWK30 @ 7.071
5 Mandenka @ 8.870
6 Hadza_He @ 9.551
7 ASW30 @ 11.010
8 Bantu_S.W._Herero @ 11.255
9 YRI30 @ 11.529
10 Bantu_S.W._Ovambo @ 11.641
250 iterations.
Using 2 populations approximation:
1 50% Mandenka +50% ASW30 @ 1.925
2 50% ASW30 +50% YRI30 @ 2.540
3 50% Bantu_S.W._Ovambo +50% ASW30 @ 2.589
4 50% Bantu_S.W._Herero +50% ASW30 @ 2.594
5 50% ASW30 +50% LWK30 @ 2.635
6 50% ACB30 +50% ACB30 @ 2.687
7 50% Bantu_S.E._Zulu +50% ASW30 @ 2.690
8 50% Yoruba +50% ASW30 @ 2.740
9 50% Bantu_S.E._Tswana +50% ASW30 @ 2.813
10 50% Bantu_N.E. +50% ACB30 @ 2.884
31375 iterations.
Using 3 populations approximation:
1 50% LWK30 +25% ASW30 +25% ACB30 @ 1.623
2 50% ACB30 +25% Bantu_N.E. +25% ACB30 @ 1.759
3 50% Bantu_N.E. +25% ASW30 +25% ACB30 @ 1.811
4 50% ACB30 +25% LWK30 +25% ACB30 @ 1.874
5 50% ASW30 +25% Bantu_N.E. +25% Bantu_S.E._Pedi @ 1.925
6 50% ASW30 +25% Bantu_N.E. +25% Bantu_S.E._S.Sotho @ 1.925
7 50% ASW30 +25% Bantu_N.E. +25% Biaka_Pygmies @ 1.925
8 50% ASW30 +25% Bantu_N.E. +25% Mbuti_Pygmies @ 1.925
9 50% Mandenka +25% ASW30 +25% ASW30 @ 1.925
10 50% ASW30 +25% Mandenka +25% Mandenka @ 1.925
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: F229750
Admix Results:
# Population Percent
1 Amerindian 1.55
2 East_Asian 0.00
3 African 88.39
4 Atlantic_Baltic 5.07
5 Australasian 0.28
6 Siberian 0.21
7 Caucasus_Gedrosia 0.11
8 Southern 4.02
9 South_Asian 0.36
Pct. Calc. Option 2
0 Unable to determine 0.02%
1 ACB30 83.09%
2 Bantu_N.E. 10.61%
3 Hadza_He 2.17%
4 Sandawe_He 1.95%
5 Ethiopian_Jews 0.99%
6 Colombians 0.46%
7 MKK30 0.31%
8 Ethiopians 0.30%
9 Pima 0.09%
10 Somali 0.01%
Total RMSD: 0.558784
Elapsed time 6.0889 seconds.
My Autossomal Dodecad K7b Admixture Proportions
The K7b admixture calculator is courtesy of Dienekes Pontikos and was
developed as part of the Dodecad Ancestry Project; more information here.
K7b is an update of the eurasia7 calculator. It has been built on exactly the
same dataset as K12b but at a lower (K=7) level of detail.
Kit Number: F229750 Iteration: 1000 Delta-Q: 6.843454e-04 Elapsed
Time: 53.94 seconds
Populatio
n
South_As
ian
0.25
%
West_Asi
an
1.56
%
Siberian 1.16
%
African 89.7
9%
Southern 2.03
%
Atlantic_
Baltic
5.21
%
East_Asia
n -
Web site and contents ©Copyright 2011-2014 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
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 F229750
Admix Results (sorted):
# Population Percent
1 African 89.79
2 Atlantic_Baltic 5.21
3 Southern 2.03
4 West_Asian 1.56
5 Siberian 1.16
6 South_Asian 0.25
Single Population Sharing:
# Population (source) Distance
1 ASW30 (HapMap3) 8.56
2 LWK30 (Behar) 9.44
3 Bantu_N.E. (HGDP) 10.28
4 Mandenka (HGDP) 12.61
5 Bantu_S.E._Tswana (HGDP) 13.01
6 Bantu_S.W._Herero (HGDP) 13.18
7 Yoruba (HGDP) 13.64
8 YRI30 (HGDP) 13.64
9 Sandawe (Henn) 22.16
10 MKK30 (Dodecad) 27.58
11 Somali (Dodecad) 59.64
12 Ethiopian_Jews (Behar) 71.16
13 Ethiopians (Behar) 72.82
14 Moroccans (Behar) 98.45
15 Mozabite (HGDP) 100.1
16 Algerian (Dodecad) 100.59
17 Yemenese (Behar) 102.83
18 Egyptans (Behar) 103.5
19 Moroccan (Dodecad) 104.72
20 Palestinian (HGDP) 114.97
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 92.5%Bantu_N.E. (HGDP) + 7.5%Mordovians
(Yunusbayev) @ 0.8
2 92.6%Bantu_N.E. (HGDP) + 7.4%Russian (HGDP) @ 0.91
3 92.6%Bantu_N.E. (HGDP) + 7.4%Russian_B (Behar) @ 1.16
4 90.4%Bantu_S.E._Tswana
(HGDP) + 9.6%Romanians (Behar) @ 1.16
5 90.4%Bantu_S.E._Tswana
(HGDP) + 9.6%Bulgarians (Yunusbayev) @ 1.18
6 92.3%Bantu_N.E. (HGDP) + 7.7%Chuvashs (Behar) @ 1.21
7 90.4%Bantu_S.E._Tswana
(HGDP) + 9.6%Bulgarian (Dodecad) @ 1.22
8 90%Yoruba (HGDP) + 10%Romanians (Behar) @ 1.27
9 90%YRI30 (HGDP) + 10%Romanians (Behar) @ 1.27
10 90%Yoruba (HGDP) + 10%Bulgarians (Yunusbayev) @ 1.3
11 90%YRI30 (HGDP) + 10%Bulgarians (Yunusbayev) @ 1.3
12 90.3%Bantu_S.W._Herero
(HGDP) + 9.7%Romanians (Behar) @ 1.3
13 90.7%Mandenka (HGDP) + 9.3%Romanians (Behar) @ 1.31
14 90.3%Bantu_S.W._Herero
(HGDP) + 9.7%Bulgarians (Yunusbayev) @ 1.33
15 89.9%Yoruba (HGDP) + 10.1%Bulgarian (Dodecad) @ 1.33
16 89.9%YRI30 (HGDP) + 10.1%Bulgarian (Dodecad) @ 1.33
17 92.6%Bantu_N.E. (HGDP) + 7.4%Mixed_Slav (Dodecad) @ 1.34
18 92.8%Bantu_N.E. (HGDP) + 7.2%FIN30 (1000Genomes) @ 1.34
19 90.7%Mandenka (HGDP) + 9.3%Bulgarians (Yunusbayev) @ 1.35
20 92.8%Bantu_N.E. (HGDP) + 7.2%Finnish (Dodecad) @ 1.36
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: F229750
Admix Results (sorted):
# Population Percent
1 African 92.54
2 Atlantic_Baltic 5.37
3 Southern 2.09
--------------------------------
Least-squares method.
Using 1 population approximation:
1 LWK30 @ 6.649
2 Bantu_N.E. @ 7.062
3 Mandenka @ 8.560
4 Bantu_S.E._Tswana @ 8.920
5 Bantu_S.W._Herero @ 9.116
6 Bantu_S.E._Zulu @ 9.194
7 Bantu_S.E._Pedi @ 9.425
8 Bantu_S.E._S.Sotho @ 9.425
9 Bantu_S.W._Ovambo @ 9.425
10 Yoruba @ 9.425
223 iterations.
Using 2 populations approximation:
1 50% ASW30 +50% Mandenka @ 1.815
2 50% ASW30 +50% Bantu_N.E. @ 1.824
3 50% ASW30 +50% Bantu_S.E._Pedi @ 1.983
4 50% ASW30 +50% Bantu_S.E._S.Sotho @ 1.983
5 50% ASW30 +50% Bantu_S.W._Ovambo @ 1.983
6 50% ASW30 +50% Yoruba @ 1.983
7 50% ASW30 +50% YRI30 @ 1.983
8 50% ASW30 +50% Bantu_S.E._Zulu @ 1.997
9 50% ASW30 +50% Bantu_S.E._Tswana @ 2.043
10 50% ASW30 +50% Bantu_S.W._Herero @ 2.044
24976 iterations.
Using 3 populations approximation:
1 50% ASW30 +25% Bantu_S.E._Pedi +25% LWK30 @ 1.622
2 50% ASW30 +25% Bantu_S.E._S.Sotho +25% LWK30 @ 1.622
3 50% ASW30 +25% Bantu_S.W._Ovambo +25% LWK30 @ 1.622
4 50% ASW30 +25% LWK30 +25% Yoruba @ 1.622
5 50% ASW30 +25% LWK30 +25% YRI30 @ 1.622
6 50% ASW30 +25% Bantu_N.E. +25% Bantu_S.E._Pedi @ 1.636
7 50% ASW30 +25% Bantu_N.E. +25% Bantu_S.E._S.Sotho @ 1.636
8 50% ASW30 +25% Bantu_N.E. +25% Bantu_S.W._Ovambo @ 1.636
9 50% ASW30 +25% Bantu_N.E. +25% Yoruba @ 1.636
10 50% ASW30 +25% Bantu_N.E. +25% YRI30 @ 1.636
369110 iterations.
Using 4 populations approximation:
1 ASW30 + ASW30 + Bantu_S.E._Pedi + LWK30 @ 1.622
2 ASW30 + ASW30 + Bantu_S.E._S.Sotho + LWK30 @ 1.622
3 ASW30 + ASW30 + Bantu_S.W._Ovambo + LWK30 @ 1.622
4 ASW30 + ASW30 + LWK30 + Yoruba @ 1.622
5 ASW30 + ASW30 + LWK30 + YRI30 @ 1.622
6 ASW30 + ASW30 + Bantu_N.E. + Bantu_S.E._Pedi @ 1.636
7 ASW30 + ASW30 + Bantu_N.E. + Bantu_S.E._S.Sotho @ 1.636
8 ASW30 + ASW30 + Bantu_N.E. + Bantu_S.W._Ovambo @ 1.636
9 ASW30 + ASW30 + Bantu_N.E. + Yoruba @ 1.636
10 ASW30 + ASW30 + Bantu_N.E. + YRI30 @ 1.636
11 ASW30 + ASW30 + Bantu_N.E. + Mandenka @ 1.667
12 ASW30 + ASW30 + Bantu_S.E._Zulu + LWK30 @ 1.672
13 ASW30 + ASW30 + Bantu_N.E. + Bantu_S.E._Zulu @ 1.676
14 ASW30 + ASW30 + LWK30 + Mandenka @ 1.700
15 ASW30 + ASW30 + Bantu_N.E. + Bantu_S.W._Herero @ 1.712
16 ASW30 + ASW30 + Bantu_S.W._Herero + LWK30 @ 1.712
17 ASW30 + ASW30 + Bantu_N.E. + Bantu_S.E._Tswana @ 1.721
18 ASW30 + ASW30 + Bantu_S.E._Tswana + LWK30 @ 1.723
19 ASW30 + ASW30 + Mandenka + Mandenka @ 1.815
20 ASW30 + ASW30 + Bantu_N.E. + Bantu_N.E. @ 1.824
8790320 iterations.
Done.
Elapsed time 4.4741 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: F229750
Admix Results:
# Population Percent
1 South_Asian 0.25
2 West_Asian 1.56
3 Siberian 1.16
4 African 89.79
5 Southern 2.03
6 Atlantic_Baltic 5.21
7 East_Asian 0.00
Pct. Calc. Option 2
1 Mandenka 82.05%
2 Hungarians 7.57%
3 Bantu_S.E._Zulu 6.64%
4 Ethiopians 2.24%
5 Selkup 1.06%
6 Nganassan 0.15%
7 Brahmins_from_Uttaranchal 0.15%
8 Balochi 0.12%
9 Uzbeks 0.01%
10 French 0.01%
Total RMSD: 0.483099
Elapsed time 0.9928 seconds.
My Autossomal Dodecad K12b Admixture Proportions
The K12b admixture calculator is courtesy of Dienekes Pontikos and was
developed as part of the Dodecad Ancestry Project; more information here.
Kit Number: F229750 Iteration: 1000 Delta-Q: 3.423992e-01 Elapsed
Time: 66.51 seconds
Population
Gedrosia 0.71
%
Siberian 1.22
%
Northwest_
African
1.79
%
Southeast_
Asian -
Atlantic_M
ed
1.16
%
North_Euro
pean
3.40
%
South_Asia
n
0.26
%
East_Africa
n
9.03
%
Southwest_
Asian -
East_Asian -
Caucasus 0.76
%
Sub_Sahara
n
81.6
7%
Web site and contents ©Copyright 2011-2014 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
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 F229750
Admix Results (sorted):
# Population Percent
1 Sub_Saharan 81.67
2 East_African 9.03
3 North_European 3.4
4 Northwest_African 1.79
5 Siberian 1.22
6 Atlantic_Med 1.16
7 Caucasus 0.76
8 Gedrosia 0.71
9 South_Asian 0.26
Single Population Sharing:
# Population (source) Distance
1 Bantu_S.E._Tswana (HGDP) 9.02
2 ASW30 (HapMap3) 9.97
3 Bantu_S.W._Herero (HGDP) 12.36
4 Bantu_N.E. (HGDP) 16.14
5 LWK30 (Behar) 18.56
6 Mandenka (HGDP) 21.85
7 Yoruba (HGDP) 24.84
8 YRI30 (HGDP) 24.84
9 MKK30 (Dodecad) 88.94
10 Sandawe_He (Henn) 90.76
11 Yemenese (Behar) 98.92
12 Algerian (Dodecad) 99.43
13 Moroccans (Behar) 100.98
14 Egyptans (Behar) 102.51
15 Moroccan (Dodecad) 105.5
16 Jordanians (Behar) 107.17
17 Uzbeks (Behar) 107.41
18 Turkmens (Yunusbayev) 107.6
19 Palestinian (HGDP) 107.8
20 Tajiks (Yunusbayev) 107.82
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 90.4%Bantu_S.W._Herero
(HGDP) + 9.6%Chuvashs (Behar) @ 2.9
2 62.6%ASW30 (HapMap3) + 37.4%Bantu_N.E. (HGDP) @ 3.18
3 90.4%Bantu_S.W._Herero
(HGDP) + 9.6%Hungarians (Behar) @ 3.21
4 90.3%Bantu_S.W._Herero
(HGDP) + 9.7%Romanians (Behar) @ 3.37
5 93.1%Bantu_S.E._Tswana
(HGDP) + 6.9%Chuvashs (Behar) @ 3.4
6 90.5%Bantu_S.W._Herero
(HGDP) + 9.5%German (Dodecad) @ 3.4
7 90.3%Bantu_S.W._Herero
(HGDP) + 9.7%Bulgarian (Dodecad) @ 3.41
8 66.1%ASW30 (HapMap3) + 33.9%LWK30 (Behar) @ 3.41
9 90.7%Bantu_S.W._Herero
(HGDP) + 9.3%Mordovians
(Yunusbayev) @ 3.44
10 90.3%Bantu_S.W._Herero
(HGDP) + 9.7%Bulgarians (Yunusbayev) @ 3.48
11 90.8%Bantu_S.W._Herero
(HGDP) + 9.2%Russian (HGDP) @ 3.51
12 93.3%Bantu_S.E._Tswana
(HGDP) + 6.7%Mordovians
(Yunusbayev) @ 3.56
13 93.4%Bantu_S.E._Tswana
(HGDP) + 6.6%Russian (HGDP) @ 3.57
14 90.7%Bantu_S.W._Herero
(HGDP) + 9.3%Ukranians (Yunusbayev) @ 3.6
15 90.5%Bantu_S.W._Herero
(HGDP) + 9.5%Mixed_Germanic
(Dodecad) @ 3.6
16 93.1%Bantu_S.E._Tswana
(HGDP) + 6.9%Hungarians (Behar) @ 3.63
17 90.8%Bantu_S.W._Herero
(HGDP) + 9.2%Mixed_Slav (Dodecad) @ 3.65
18 93.4%Bantu_S.E._Tswana
(HGDP) + 6.6%Mixed_Slav (Dodecad) @ 3.66
19 93.4%Bantu_S.E._Tswana + 6.6%Ukranians (Yunusbayev) @ 3.67
(HGDP)
20 90.6%Bantu_S.W._Herero
(HGDP) + 9.4%Dutch (Dodecad) @ 3.67
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: F229750
Admix Results (sorted):
# Population Percent
1 Sub_Saharan 83.11
2 East_African 9.19
3 North_European 3.46
4 Northwest_African 1.82
5 Siberian 1.24
6 Atlantic_Med 1.18
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Bantu_S.E._Tswana @ 6.963
2 Bantu_S.E._Pedi @ 7.000
3 Bantu_S.E._Zulu @ 7.735
4 Bantu_S.E._S.Sotho @ 8.003
5 Bantu_S.W._Herero @ 9.159
6 ASW30 @ 9.553
7 Bantu_S.W._Ovambo @ 11.668
8 Bantu_N.E. @ 15.185
9 LWK30 @ 17.359
10 Mandenka @ 17.368
223 iterations.
Using 2 populations approximation:
1 50% ASW30 +50% Bantu_S.E._Tswana @ 4.246
2 50% ASW30 +50% Bantu_S.E._Pedi @ 4.355
3 50% ASW30 +50% Bantu_N.E. @ 4.776
4 50% ASW30 +50% Bantu_S.E._Zulu @ 5.341
5 50% ASW30 +50% Bantu_S.E._S.Sotho @ 5.585
6 50% ASW30 +50% LWK30 @ 5.801
7 50% LWK30 +50% Mandenka @ 5.950
8 50% Bantu_N.E. +50% Mandenka @ 6.131
9 50% ASW30 +50% Bantu_S.W._Herero @ 6.466
10 50% Bantu_S.E._Tswana +50% Bantu_S.E._Tswana @ 6.963
24976 iterations.
Using 3 populations approximation:
1 50% ASW30 +25% Bantu_S.E._S.Sotho +25% LWK30 @ 2.751
2 50% ASW30 +25% Bantu_S.E._Zulu +25% LWK30 @ 2.761
3 50% ASW30 +25% Bantu_N.E. +25% Bantu_S.E._Pedi @ 2.761
4 50% ASW30 +25% Bantu_N.E. +25% Bantu_S.E._Tswana @
2.769
5 50% ASW30 +25% Bantu_N.E. +25% Bantu_S.E._Zulu @ 2.769
6 50% ASW30 +25% Bantu_S.W._Herero +25% LWK30 @ 2.774
7 50% ASW30 +25% Bantu_N.E. +25% Bantu_S.E._S.Sotho @
2.790
8 50% ASW30 +25% Bantu_S.E._Pedi +25% LWK30 @ 2.882
9 50% ASW30 +25% Bantu_S.E._Tswana +25% LWK30 @ 2.904
10 50% ASW30 +25% Bantu_N.E. +25% Bantu_S.W._Herero @
2.916
369043 iterations.
Using 4 populations approximation:
1 ASW30 + ASW30 + Bantu_S.E._S.Sotho + LWK30 @ 2.751
2 ASW30 + ASW30 + Bantu_S.E._Zulu + LWK30 @ 2.761
3 ASW30 + ASW30 + Bantu_N.E. + Bantu_S.E._Pedi @ 2.761
4 ASW30 + ASW30 + Bantu_N.E. + Bantu_S.E._Tswana @ 2.769
5 ASW30 + ASW30 + Bantu_N.E. + Bantu_S.E._Zulu @ 2.769
6 ASW30 + ASW30 + Bantu_S.W._Herero + LWK30 @ 2.774
7 ASW30 + ASW30 + Bantu_N.E. + Bantu_S.E._S.Sotho @ 2.790
8 ASW30 + ASW30 + Bantu_S.E._Pedi + LWK30 @ 2.882
9 ASW30 + ASW30 + Bantu_S.E._Tswana + LWK30 @ 2.904
10 ASW30 + ASW30 + Bantu_N.E. + Bantu_S.W._Herero @ 2.916
11 ASW30 + ASW30 + Bantu_S.W._Ovambo + LWK30 @ 3.008
12 ASW30 + ASW30 + Bantu_N.E. + Bantu_S.W._Ovambo @ 3.298
13 ASW30 + Bantu_N.E. + Bantu_N.E. + Mandenka @ 3.672
14 ASW30 + ASW30 + LWK30 + Mandenka @ 3.885
15 ASW30 + Bantu_S.E._Tswana + LWK30 + Mandenka @ 3.897
16 ASW30 + Bantu_N.E. + LWK30 + Mandenka @ 3.910
17 ASW30 + Bantu_S.E._Pedi + LWK30 + Mandenka @ 3.930
18 ASW30 + Bantu_S.E._Tswana + Bantu_S.W._Ovambo + LWK30
@ 4.036
19 ASW30 + Bantu_S.E._S.Sotho + Bantu_S.W._Herero + LWK30
@ 4.036
20 ASW30 + Bantu_N.E. + Bantu_S.E._S.Sotho +
Bantu_S.E._S.Sotho @ 4.036
5362352 iterations.
Done.
Elapsed time 6.0168 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: F229750
Admix Results:
# Population Percent
1 Gedrosia 0.71
2 Siberian 1.22
3 Northwest_African 1.79
4 Southeast_Asian 0.00
5 Atlantic_Med 1.16
6 North_European 3.40
7 South_Asian 0.26
8 East_African 9.03
9 Southwest_Asian 0.00
10 East_Asian 0.00
11 Caucasus 0.76
12 Sub_Saharan 81.67
Pct. Calc. Option 2
0 Unable to determine 0.16%
1 Bantu_S.W._Herero 50.35%
2 Bantu_S.E._Tswana 35.22%
3 Chuvashs 5.61%
4 Mandenka 4.17%
5 Algerian 2.01%
6 Moroccan 0.93%
7 LWK30 0.79%
8 Mordovians 0.36%
9 Moroccans 0.33%
10 Bantu_N.E. 0.03%
Total RMSD: 0.276845
Elapsed time 0.7695 seconds.
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