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Thread: DNA Results Kenyan (Kikuyu)595 days old

  1. #1
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    Default DNA Results Kenyan (Kikuyu)

    Here's GedMatch Results for me, a Kenyan Kikuyu with 4 known Grandparents all of which are Kikuyu

    Admix Results (sorted):

    # Population Percent
    1 E-African 41.9
    2 W-African 38.96
    3 Pygmy 6.48
    4 SW-Asian 5.88
    5 San 3.04
    6 Caucasian 1.27
    7 Mediterranean 1.26
    8 Papuan 0.94
    9 SE-Asian 0.26

    Single Population Sharing:

    # Population (source) Distance
    1 hema (xing) 2.71
    2 alur (xing) 15.31
    3 bulala (henn2012) 15.85
    4 luhya (1000genomes) 26.24
    5 sandawe (henn2011) 26.46
    6 luhya (hapmap) 26.79
    7 bantukenya (hgdp) 27.71
    8 mada (henn2012) 30.12
    9 maasai (hapmap) 38.72
    10 siddi (reich) 39.38
    11 hadza (henn2011) 39.77
    12 fulani (henn2012) 41.03
    13 maasai (1000genomes) 42.87
    14 somali (reich) 45.42
    15 dominican (bryc) 46.89
    16 xhosa (henn2012) 48.28
    17 oromo (pagani) 48.45
    18 nguni (xing) 48.48
    19 wolayta (pagani) 48.59
    20 sudanese (pagani) 48.78

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 94.6% hema (xing) + 5.4% luhya (1000genomes) @ 2.26
    2 95.4% hema (xing) + 4.6% mada (henn2012) @ 2.3
    3 91.4% hema (xing) + 8.6% alur (xing) @ 2.3
    4 95.2% hema (xing) + 4.8% bantukenya (hgdp) @ 2.31
    5 97.7% hema (xing) + 2.3% kaba (henn2012) @ 2.43
    6 93% hema (xing) + 7% bulala (henn2012) @ 2.44
    7 98.2% hema (xing) + 1.8% kongo (henn2012) @ 2.46
    8 98.1% hema (xing) + 1.9% fang (henn2012) @ 2.47
    9 98.3% hema (xing) + 1.7% bamoun (henn2012) @ 2.47
    10 98.4% hema (xing) + 1.6% hausa (henn2012) @ 2.47
    11 98.6% hema (xing) + 1.4% yoruba (1000genomes) @ 2.48
    12 98.5% hema (xing) + 1.5% bambaran (xing) @ 2.48
    13 98.5% hema (xing) + 1.5% igbo (henn2012) @ 2.48
    14 98.5% hema (xing) + 1.5% brong (henn2012) @ 2.49
    15 98.5% hema (xing) + 1.5% dogon (xing) @ 2.49
    16 98.4% hema (xing) + 1.6% mandenka (hgdp) @ 2.49
    17 98.4% hema (xing) + 1.6% african-caribbean (1000genomes) @ 2.49
    18 98.2% hema (xing) + 1.8% african-american (1000genomes) @ 2.52
    19 98.4% hema (xing) + 1.6% bantusouthafrica (hgdp) @ 2.57
    20 98.3% hema (xing) + 1.7% pedi (xing) @ 2.57

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  4. #2
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    My Eurogenes Hunter_Gatherer vs. Farmer Admixture Proportions


    Population
    Anatolian Farmer 2.17
    Baltic Hunter Gatherer -
    Middle Eastern Herder 2.17
    East Asian Farmer 0.15
    South American Hunter Gatherer -
    South Asian Hunter Gatherer -
    North Eurasian Hunter Gatherer -
    East African Pastoralist 44.72
    Oceanian Hunter Gatherer 0.91
    Mediterranean Farmer 1.46
    Pygmy Hunter Gatherer 6.77
    Bantu Farmer 41.65

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  6. #3
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    Given that I know my ethnicity quite well as I know that all my grandparents were Kikuyu, the GEDMatch test that correctly identifies me as Kikuyu is PUNTDNAL
    The rest of the GEDMatch tests put me closest to Hema. I would imagine that if I was unaware of my ancestry I would be misled into thinking that I was more Hema than Kikuyu.
    Here are results
    Gedmatch.Com

    puntDNAL K8 African only 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: [email protected]
    Original concept proposed by Sergey Kozlov.
    Many thanks to Alexandr for helping us get this web version developed.

    puntDNAL K8b Oracle

    Admix Results (sorted):

    # Population Percent
    1 E_Benue_Congo 35.49
    2 W_Benue_Congo 20.92
    3 Nilo_Saharan 19.49
    4 Western_Semitic 13.54
    5 Omotic 8.41
    6 Eastern_HG 2.01


    Finished reading population data. 48 populations found.
    8 components mode.

    --------------------------------

    Least-squares method.

    Using 1 population approximation:
    1 DRC_Hema @ 13.900126
    2 Kenyan_Bantu @ 19.110313
    3 Kenyan_Luhya @ 23.973482
    4 Alur @ 26.811680
    5 Tanzania_Sandawe @ 29.219944
    6 SA_Pedi @ 31.198748
    7 SA_Nguni @ 31.931158
    8 Cameroon_Mada @ 32.529587
    9 SA_Xhosa @ 35.188931
    10 SA_Bantu @ 35.808491
    11 Chad_Bulala @ 35.958347
    12 Cameroon_Fang @ 36.520000
    13 SA_Sotho/Tswana @ 37.162674
    14 DRC_Kongo @ 37.201378
    15 Chad_Kaba @ 38.172760
    16 Cameroon_Bamoun @ 39.510555
    17 Nigeria_Fulani @ 39.932384
    18 Nigeria_Hausa @ 45.019897
    19 Kenyan_Maasai @ 45.139103
    20 Mali_Mandinka @ 45.747971

    Using 2 populations approximation:
    1 50% Cameroon_Mada +50% Tanzania_Sandawe @ 10.328818


    Using 3 populations approximation:
    1 50% Kenyan_Bantu +25% Kenyan_Luhya +25% Somali @ 5.039976


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++
    1 Ethiopian_Amhara + Kenyan_Luhya + Kenyan_Luhya + Cameroon_Mada @ 4.174387
    2 Ethiopian_Afar + Kenyan_Luhya + Kenyan_Luhya + Cameroon_Mada @ 4.375715
    3 Ethiopian_Tygray + Kenyan_Luhya + Kenyan_Luhya + Cameroon_Mada @ 4.542065
    4 Ethiopian_Oromo + Kenyan_Luhya + Kenyan_Luhya + Cameroon_Mada @ 4.641747
    5 Kenyan_Bantu + Kenyan_Bantu + Kenyan_Luhya + Somali @ 5.039976
    6 Kenyan_Luhya + Kenyan_Luhya + Cameroon_Mada + Somali @ 5.119782
    7 Ethiopian_Oromo + Kenyan_Bantu + Kenyan_Luhya + Kenyan_Luhya @ 5.193334
    8 Ethiopian_Oromo + Kenyan_Bantu + Kenyan_Bantu + Kenyan_Luhya @ 5.345089
    9 Ethiopian_Amhara + Kenyan_Bantu + Kenyan_Luhya + Kenyan_Luhya @ 5.385659
    10 Kenyan_Bantu + Kenyan_Luhya + Kenyan_Luhya + Somali @ 5.450408
    11 Ethiopian_Afar + Kenyan_Bantu + Kenyan_Bantu + Kenyan_Luhya @ 5.526328
    12 Cameroon_Bamoun + DRC_Hema + Kenyan_Luhya + Somali @ 5.550715
    13 Ethiopian_Oromo + DRC_Hema + Kenyan_Bantu + Kenyan_Luhya @ 5.574965
    14 Ethiopian_Amhara + Kenyan_Bantu + Kenyan_Bantu + Kenyan_Luhya @ 5.593469
    15 Nigeria_Hausa + Kenyan_Luhya + Kenyan_Maasai + Tanzania_Sandawe @ 5.612572
    16 DRC_Hema + DRC_Kongo + Kenyan_Luhya + Somali @ 5.686251
    17 Ethiopian_Afar + Kenyan_Bantu + Kenyan_Luhya + Kenyan_Luhya @ 5.721066
    18 Cameroon_Bamoun + Ethiopian_Oromo + DRC_Hema + Kenyan_Luhya @ 5.850778
    19 DRC_Hema + Chad_Kaba + Kenyan_Luhya + Somali @ 5.895528
    20 DRC_Hema + Kenyan_Bantu + Kenyan_Luhya + Somali @ 5.911480

    - - - Updated - - -

    puntDNAL K13 Global Oracle results:

    puntDNAL K13 Oracle

    Admix Results (sorted):

    # Population Percent
    1 West_Africa 43.46
    2 East_Africa 34.03
    3 SW_Asia 10.3
    4 South_Africa 6.57
    5 SW_Europe 3.21
    6 Oceania 1.23
    7 South_Asia 0.58
    8 Americas 0.44
    9 West_Asia 0.16

    Single Population Sharing:

    # Population (source) Distance
    1 Kikuyu 9.19
    2 Hema 10.53
    3 Mada 22.02
    4 Sandawe 22.16
    5 Bulala 23.78
    6 Luo 25.17
    7 Sudanese_South 29.15
    8 Bantu_NE 29.98
    9 Fulani 30.44
    10 Maasai 30.88
    11 Hadza 32.21
    12 Kaba 34.94
    13 Datog 37.68
    14 Anuak 37.73
    15 Dinka 40.29
    16 Dominican 43.64
    17 Wolayta 44.22
    18 Bantu_SE 44.47
    19 Gambian 47.36
    20 Bantu_SW 47.78

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 74.8% Hema + 25.2% Fulani @ 2.51
    2 63.9% Luo + 36.1% Wolayta @ 3.42
    3 55.8% Bantu_NE + 44.2% Datog @ 3.43
    4 60.1% Luo + 39.9% Datog @ 3.47
    5 51.9% Kaba + 48.1% Datog @ 3.51
    6 60.8% Maasai + 39.2% Bantu_SW @ 3.53
    7 63.2% Maasai + 36.8% Mende @ 3.7
    8 66.7% Luo + 33.3% Oromo @ 3.73
    9 59.7% Bantu_NE + 40.3% Wolayta @ 3.78
    10 53.1% Maasai + 46.9% Kaba @ 4.04
    11 52.4% Aricultivator + 47.6% Hausa @ 4.35
    12 53.1% Aricultivator + 46.9% Igbo @ 4.41
    13 68% Luo + 32% Somali @ 4.45
    14 55.8% Aricultivator + 44.2% Yoruba @ 4.46
    15 55.1% Aricultivator + 44.9% Esan @ 4.54
    16 60.7% Maasai + 39.3% Gambian @ 4.56
    17 50.8% Bantu_NE + 49.2% Maasai @ 4.64
    18 62.1% Maasai + 37.9% Mandinka @ 4.66
    19 51.2% Aricultivator + 48.8% Mandinka @ 4.68
    20 50.2% Gambian + 49.8% Aricultivator @ 4.85

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  8. #4
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    Ethiohelix K10 Africa Only Results

    Admix Results (sorted):

    # Population Percent
    1 West_Africa 39.4
    2 Nilo-Saharan 19.32
    3 East_Africa1 12.43
    4 East-Africa2 12.19
    5 Omotic 9.37
    6 Biaka-Pygmy 5.77
    7 Hadza 0.87
    8 North-Africa 0.63
    9 Mbuti-Pygmy 0.02

    Single Population Sharing:

    # Population (source) Distance
    1 hema 8.42
    2 luhya 20.84
    3 bantukenya 22.96
    4 mada 27.4
    5 alur 29.5
    6 kaba 33.94
    7 bantusouthafrica 34.33
    8 pedi 34.82
    9 nguni 35.39
    10 fang 35.6
    11 maasai 36.95
    12 bulala 36.95
    13 xhosa 37.34
    14 kongo 38.4
    15 fulani 39.73
    16 sotho/tswana 39.83
    17 sandawe 40.52
    18 bamoun 41.94
    19 mandenka 43.29
    20 hausa 45.03

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 88.7% hema + 11.3% kongo @ 6.93
    2 88.2% hema + 11.8% fang @ 7.01
    3 91.1% hema + 8.9% igbo @ 7.09
    4 91.7% hema + 8.3% yoruba @ 7.1
    5 90.7% hema + 9.3% hausa @ 7.1
    6 91.1% hema + 8.9% bambaran @ 7.12
    7 81.4% hema + 18.6% luhya @ 7.13
    8 88.1% hema + 11.9% kaba @ 7.14
    9 91.7% hema + 8.3% dogon @ 7.17
    10 83.3% hema + 16.7% bantukenya @ 7.2
    11 90.4% hema + 9.6% bamoun @ 7.2
    12 91.7% hema + 8.3% brong @ 7.21
    13 90.8% hema + 9.2% mandenka @ 7.23
    14 51% maasai + 49% kongo @ 7.42
    15 69.8% luhya + 30.2% EtO @ 7.54
    16 90.9% hema + 9.1% nguni @ 7.68
    17 53.3% maasai + 46.7% bamoun @ 7.69
    18 88.5% hema + 11.5% mada @ 7.7
    19 91.3% hema + 8.7% pedi @ 7.79
    20 91.9% hema + 8.1% bantusouthafrica @ 7.89

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  10. #5
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    Dodecad V3 Oracle Results

    Admix Results (sorted):

    # Population Percent
    1 Neo_African 36.27
    2 East_African 31.08
    3 Palaeo_African 26.92
    4 Southwest_Asian 2.99
    5 South_Asian 1.68
    6 Northwest_African 0.68
    7 West_Asian 0.38

    Single Population Sharing:

    # Population (source) Distance
    1 Hema (Xing) 3.16
    2 Bulala (Henn) 9.12
    3 SANDAWE (Henn) 11.49
    4 Maasai (Henn) 19.03
    5 Alur (Xing) 19.5
    6 Mada (Henn) 20.79
    7 Luhya (Xing) 21.64
    8 MKK (HapMap) 22.16
    9 Luhya (Henn) 22.64
    10 HADZA (Henn) 23.8
    11 LWK (HapMap) 25.09
    12 ASW (HapMap) 27.89
    13 Siddi (Reich) 27.94
    14 Fulani (Henn) 28.3
    15 Kaba (Henn) 29.21
    16 Pedi (Xing) 30.24
    17 Nguni (Xing) 30.27
    18 Kongo (Henn) 32.96
    19 Sotho_Tswana (Xing) 33.12
    20 Fang (Henn) 33.23

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 63.6% Maasai (Henn) + 36.4% Fang (Henn) @ 1.38
    2 63.4% Maasai (Henn) + 36.6% Kongo (Henn) @ 1.4
    3 53.2% Maasai (Henn) + 46.8% Luhya (Xing) @ 1.49
    4 56.9% Maasai (Henn) + 43.1% LWK (HapMap) @ 1.78
    5 64.1% Maasai (Henn) + 35.9% Bamoun (Henn) @ 1.86
    6 54.4% Maasai (Henn) + 45.6% Luhya (Henn) @ 2
    7 56% Bulala (Henn) + 44% SANDAWE (Henn) @ 2.1
    8 91.2% Hema (Xing) + 8.8% MKK (HapMap) @ 2.33
    9 60.1% MKK (HapMap) + 39.9% Fang (Henn) @ 2.39
    10 90.4% Hema (Xing) + 9.6% Maasai (Henn) @ 2.44
    11 59.9% MKK (HapMap) + 40.1% Kongo (Henn) @ 2.57
    12 61.5% Maasai (Henn) + 38.5% Nguni (Xing) @ 2.7
    13 84.3% Hema (Xing) + 15.7% Bulala (Henn) @ 2.71
    14 97.1% Hema (Xing) + 2.9% East_African (Dodecad) @ 2.77
    15 97.2% Hema (Xing) + 2.8% Ethiopians (Behar) @ 2.8
    16 97.3% Hema (Xing) + 2.7% Ethiopian_Jews (Behar) @ 2.82
    17 50.6% Luhya (Xing) + 49.4% MKK (HapMap) @ 2.87
    18 60.7% Maasai (Henn) + 39.3% Kaba (Henn) @ 2.95
    19 98.9% Hema (Xing) + 1.1% Irula (Xing) @ 2.97
    20 98.9% Hema (Xing) + 1.1% North_Kannadi (Behar) @ 2.99

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    JTEST Results

    Admix Results (sorted):

    # Population Percent
    1 WEST_AFRICAN 48.38
    2 EAST_AFRICAN 38.71
    3 MIDDLE_EASTERN 11.59
    4 SOUTH_ASIAN 1.1
    5 ASHKENAZI 0.23

    Single Population Sharing:

    # Population (source) Distance
    1 Luhya 28.81
    2 Maasai 31.55
    3 Yoruba 48.46
    4 Somali 59.55
    5 Ethiopian 61.99
    6 Algerian 70.7
    7 Mozabite_Berber 71.2
    8 Moroccan 74.44
    9 IQ 86.35
    10 PT 87.21
    11 South_Italian_&_Sicilian 87.42
    12 RO 88.14
    13 Serbian 88.14
    14 AJ 88.41
    15 ES 88.75
    16 HU 88.78
    17 North_Italian 88.79
    18 GR 88.82
    19 Tuscan 88.84
    20 AT 89.09

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 60.6% Maasai + 39.4% Yoruba @ 1.48
    2 52.3% Luhya + 47.7% Maasai @ 3.06
    3 67.6% Luhya + 32.4% Somali @ 4.26
    4 68.7% Luhya + 31.3% Ethiopian @ 6.24
    5 55.3% Yoruba + 44.7% Somali @ 9.46
    6 56.5% Yoruba + 43.5% Ethiopian @ 12.3
    7 76.6% Luhya + 23.4% Moroccan @ 18.64
    8 75.8% Luhya + 24.2% Mozabite_Berber @ 18.69
    9 75.7% Luhya + 24.3% Algerian @ 18.78
    10 81% Luhya + 19% Bedouin @ 19.29
    11 80.6% Luhya + 19.4% IQ @ 20.57
    12 81.7% Luhya + 18.3% Samaritan @ 20.9
    13 81.4% Luhya + 18.6% South_Italian_&_Sicilian @ 21.29
    14 81.6% Luhya + 18.4% AJ @ 21.4
    15 82.2% Luhya + 17.8% Mandean @ 21.43
    16 81.5% Luhya + 18.5% PT @ 21.52
    17 81.9% Luhya + 18.1% GR @ 21.61
    18 82% Luhya + 18% TR @ 21.67
    19 82.4% Luhya + 17.6% Assyrian @ 21.68
    20 82.2% Luhya + 17.8% IR @ 21.73

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  14. #7
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    Based on the results of the test, I'm struck by the closeness between Hema and Kikuyu DNA perhaps there is a relation there. Also, I see how misleading results could be for someone seeking to connect with lost relatives. It seems that there's been a poor effort to get enough representation across African tribes. The misclassification of Luhya as West African by 23andme also leads to a higher than normal incidence of West African for a lot of East African bantus.

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  16. #8
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    My paternal haplotype is E1b1b2 (this has a horn of Africa origin) and maternal one is L3d1b (this has a West African origin). Kikuyu tribe was very assimilationist in the old days and is not a "pure" tribe per se. These DNA results prove the point that we as Kikuyus contain almost all segments of African tribes within us.

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  18. #9
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    Eurogenes K36 results

    Population
    Amerindian -
    Arabian -
    Armenian -
    Basque -
    Central_African 5.25
    Central_Euro -
    East_African 41.98
    East_Asian -
    East_Balkan -
    East_Central_Asian -
    East_Central_Euro -
    East_Med -
    Eastern_Euro -
    Fennoscandian -
    French -
    Iberian -
    Indo-Chinese -
    Italian -
    Malayan -
    Near_Eastern -
    North_African -
    North_Atlantic -
    North_Caucasian -
    North_Sea -
    Northeast_African 9.41
    Oceanian 0.66
    Omotic 3.54
    Pygmy 6.87
    Siberian -
    South_Asian -
    South_Central_Asian -
    South_Chinese 0.16
    Volga-Ural -
    West_African 32.14
    West_Caucasian -
    West_Med -

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  20. #10
    Regular Member
    Junior Member Karey's Avatar
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    Quote Originally Posted by Curious_African View Post
    Eurogenes K36 results

    Population

    Central_African 5.25
    East_African 41.98
    Northeast_African 9.41
    Oceanian 0.66
    Omotic 3.54
    Pygmy 6.87
    South_Chinese 0.16
    West_African 32.14

    West_Med -
    It's so nice to finally find another Kenyan who is as interested in their Ancestry as me.

    Your Hunter Gatherer Vs Farmer Admixture results indicate that you are approximately 52% South Cushitic (Subtracted Bantu Farmer and Pygmy from the total)

    Your Eurogenes K36 results indicate that you are:
    41.98 + 9.41 + 0.66 + 3.54 + 0.16 = 55.75 Cushitic
    5.25 Nilotic
    32.14 + 6.87 = 39.01 Bantu

    By the way, your results closely match mine (see below):

    HarappaWorld

    Admix Results (sorted):

    # Population Percent

    1 E-African 41.82
    2 W-African 38.06
    3 SW-Asian 10.90
    4 Pygmy 4.29
    5 San 3.32
    6 Mediterranean 1.59

    Least-squares method.

    Using 1 population approximation:
    1 hema_xing @ 3.848964

    Eurogenes K36 results

    Central_African 8.75
    East_African 37.22
    North_African 1.21
    Northeast_African 16.62
    Omotic 2.40
    Pygmy 4.24
    West_African 29.55

    Eurogenes Hunter_Gatherer vs. Farmer Admixture Proportions

    Middle Eastern Herder 7.55
    East African Pastoralist 44.97
    Oceanian Hunter Gatherer 0.35
    Mediterranean Farmer 1.60
    Pygmy Hunter Gatherer 5.81
    Bantu Farmer 39.73

    Eurogenes K13

    West_Med 1.44
    East_Med 3.86
    Red_Sea 9.09
    Northeast_African 38.97
    Sub-Saharan 46.64

    EthioHelix K10 Africa Only

    1 West_Africa 33.43
    2 Nilo-Saharan 21.67
    3 Omotic 14.35
    4 East-Africa2 13.39
    5 East_Africa1 8.38
    6 North-Africa 4.09
    7 Khoi-San 3.25
    8 Hadza 0.82
    9 Biaka-Pygmy 0.62

    Single Population Sharing:

    1 hema 6.36
    2 luhya 25.9
    3 bantukenya 27.79

    Mixed Mode Population Sharing:

    1 95.2% hema + 4.8% Gumuz 5.78
    2 97.5% hema + 2.5% mozabite 5.84
    3 97.4% hema + 2.6% ARI-B 5.92
    4 97.2% hema + 2.8% ARI-C 5.96

    MDLP K23b

    1 Subsaharian 40.71
    2 East_African 26.72
    3 Archaic_African 17.21
    4 Near_East 7.37
    5 North_African 5.17
    6 Khoisan 2.27

    Using 1 population approximation:

    1 Kikuyu 4.500353
    2 Hema 6.402916

    Using 2 populations approximation:

    1 50% Himba +50% Somali 2.518945


    Using 3 populations approximation:

    1 50% Damara +25% Datog +25% Somali 1.457483

    Using 4 populations approximation:

    1 Lemba + Mandenka + Sandawe + Somali 1.003694
    2 Dogon + Esomali + Lemba + Sandawe 1.070101
    3 Datog + Hausa + Nguni + Somali 1.112308

    puntDNAL K13 Oracle

    1 West_Africa 40.34
    2 East_Africa 34.77
    3 SW_Asia 15.33
    4 South_Africa 6.50
    5 SW_Europe 2.00

    Using 1 population approximation:

    1 Kikuyu 3.950218
    2 Hema 10.700174

    Mixed Mode Population Sharing:

    1 79.7% Kikuyu + 20.3% Hema 2.73
    2 90.7% Kikuyu + 9.3% Bulala 2.8
    3 53.3% Bantu_NE + 46.7% Wolayta 2.82
    4 56.6% Bantu_NE + 43.4% Oromo 2.99
    5 92.9% Kikuyu + 7.1% Sudanese_South 3.05
    6 92.8% Kikuyu + 7.2% Mada 3.16
    7 95% Kikuyu + 5% Anuak 3.23
    8 95.5% Kikuyu + 4.5% Dinka 3.28

    Using 2 populations approximation:

    1 50% Bantu_NE +50% Datog 3.177943

    Using 4 populations approximation:

    1 Datog + Kikuyu + Maasai + Mende 1.582059
    2 Bantu_NE + Datog + Kikuyu + Kikuyu 1.774161
    3 Aricultivator + Bantu_NE + Mandinka + Somali 1.780613
    4 Aricultivator + Bantu_NE + Hausa + Oromo 1.811320


    Eurogenes_ANE K7

    Population
    ANE 0.52
    East_Eurasian 0.06
    West_African 12.08
    East_African 68.61
    ENF 18.71

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