My Autossomal Dodecad K12b Admixture Proportions

GENY DOS SANTOS FLORENTINO

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: 65.70 seconds

Population Gedrosia 0.71% Siberian 1.22% Northwest_African 1.79% Southeast_Asian -     Atlantic_Med 1.16% North_European 3.40% South_Asian 0.26% East_African 9.03% Southwest_Asian -     East_Asian -     Caucasus 0.76% Sub_Saharan 81.67%

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 (HGDP) + 6.6% Ukranians (Yunusbayev) @ 3.67 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.