My Autossomal Dodecad K7b Admixture Proportions

My Autossomal Dodecad K7b Admixture Proportions

GENY DOS SANTOS FLORENTINO

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: 44.52 seconds

Population South_Asian 0.25% West_Asian 1.56% Siberian 1.16% African 89.79% Southern 2.03% Atlantic_Baltic 5.21% East_Asian -

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.