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Thread: Apes and monkeys on GEDMATCH :)

  1. #1
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    eek Apes and monkeys on GEDMATCH :)

    There are on Gedmatch Genesis (https://genesis.gedmatch.com)



    Macaque (Monkey)

    kit number: NX1666301



    Eurogenes K15

    # Population Percent
    1 Sub-Saharan 68.07
    2 Northeast_African 22.94
    3 Oceanian 3.38
    4 North_Sea 2.44
    5 Siberian 1.5
    6 Southeast_Asian 1.36
    7 Amerindian 0.3

    Single Population Sharing:

    # Population (source) Distance
    1 Mbuti_Pygmy 9.17
    2 Bantu_N.E. 9.25
    3 Luhya 10.43
    4 Biaka_Pygmy 17.31
    5 San 20.59
    6 Bantu_S.E. 24.23
    7 Bantu_S.W. 26.7
    8 Mandenka 32.21
    9 Sudanese 34.97
    10 Yoruban 39.97
    11 Ethiopian_Anuak 42.12
    12 Sandawe 48.08
    13 Maasai 54.39
    14 Hadza 58.32
    15 Ethiopian_Gumuz 64.54
    16 Mozabite_Berber 76.71
    17 Algerian 78.03
    18 Tunisian 78.29
    19 Moroccan 80.01
    20 Ethiopian_Oromo 84.04

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 93.6% Bantu_N.E. + 6.4% NAN_Melanesian @ 3.59
    2 92.9% Luhya + 7.1% NAN_Melanesian @ 4.42
    3 94.9% Bantu_N.E. + 5.1% Papuan @ 4.63
    4 92.2% Bantu_N.E. + 7.8% La_Brana-1 @ 4.99
    5 92.3% Bantu_N.E. + 7.7% Uygur @ 5.15
    6 92.2% Bantu_N.E. + 7.8% Afghan_Turkmen @ 5.17
    7 92.3% Bantu_N.E. + 7.7% Uzbeki @ 5.19
    8 92.3% Bantu_N.E. + 7.7% Afghan_Hazara @ 5.2
    9 91.1% Luhya + 8.9% La_Brana-1 @ 5.2
    10 92.4% Bantu_N.E. + 7.6% Hazara @ 5.23
    11 92.2% Bantu_N.E. + 7.8% Tatar @ 5.25
    12 92.5% Bantu_N.E. + 7.5% North_Swedish @ 5.28
    13 92.5% Bantu_N.E. + 7.5% Finnish @ 5.3
    14 91.1% Luhya + 8.9% Uygur @ 5.3
    15 92.4% Bantu_N.E. + 7.6% West_German @ 5.32
    16 91% Luhya + 9% Afghan_Turkmen @ 5.33
    17 92.6% Bantu_N.E. + 7.4% Swedish @ 5.34
    18 92.6% Bantu_N.E. + 7.4% Norwegian @ 5.35
    19 91.1% Luhya + 8.9% Uzbeki @ 5.35
    20 92.5% Bantu_N.E. + 7.5% East_Finnish @ 5.35

  2. #2
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    is this for real ?

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    Marmoset (Monkey)

    JH4662226




    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 JH4662226

    Admix Results (sorted):

    # Population Percent
    1 Palaeo_African 58.12
    2 Neo_African 20.05
    3 West_European 6.16
    4 Southeast_Asian 5.22
    5 East_European 3.64
    6 Mediterranean 3.12
    7 South_Asian 1.79
    8 East_African 1.28
    9 Northeast_Asian 0.62

    Single Population Sharing:

    # Population (source) Distance
    1 !Kung (Xing) 16.41
    2 SAN_SA (Henn) 17.44
    3 BiakaPygmy (Henn) 21.98
    4 Biaka_Pygmies (HGDP) 22.22
    5 Sotho_Tswana (Xing) 36.83
    6 Alur (Xing) 41.61
    7 HADZA (Henn) 42.11
    8 Pedi (Xing) 43.28
    9 Xhosa (Henn) 43.69
    10 SAN_NB (Henn) 43.81
    11 Pygmy (Xing) 44.1
    12 Nguni (Xing) 45.12
    13 SANDAWE (Henn) 48.82
    14 Fang (Henn) 50.39
    15 San (HGDP) 50.42
    16 Siddi (Reich) 50.5
    17 Luhya (Xing) 51.09
    18 Hema (Xing) 51.53
    19 Kongo (Henn) 52.44
    20 LWK (HapMap) 52.77

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 76.7% SAN_SA (Henn) + 23.3% ASW (HapMap) @ 6.86
    2 81% BiakaPygmy (Henn) + 19% Hungarians (Behar) @ 7.07
    3 80.9% BiakaPygmy (Henn) + 19.1% Slovenian (Xing) @ 7.08
    4 80.8% Biaka_Pygmies (HGDP) + 19.2% Hungarians (Behar) @ 7.15
    5 80.7% Biaka_Pygmies (HGDP) + 19.3% Slovenian (Xing) @ 7.15
    6 85.9% !Kung (Xing) + 14.1% Hungarians (Behar) @ 7.58
    7 85.8% !Kung (Xing) + 14.2% Slovenian (Xing) @ 7.6
    8 81.6% BiakaPygmy (Henn) + 18.4% German (Dodecad) @ 7.62
    9 81% BiakaPygmy (Henn) + 19% Balkans (Dodecad) @ 7.65
    10 80.8% BiakaPygmy (Henn) + 19.2% Hazara (HGDP) @ 7.68
    11 86.3% !Kung (Xing) + 13.7% German (Dodecad) @ 7.69
    12 80.6% Biaka_Pygmies (HGDP) + 19.4% Hazara (HGDP) @ 7.69
    13 81.5% Biaka_Pygmies (HGDP) + 18.5% German (Dodecad) @ 7.71
    14 80.9% Biaka_Pygmies (HGDP) + 19.1% Balkans (Dodecad) @ 7.72
    15 81% BiakaPygmy (Henn) + 19% Uygur (HGDP) @ 7.77
    16 80.9% Biaka_Pygmies (HGDP) + 19.1% Uygur (HGDP) @ 7.78
    17 86.6% !Kung (Xing) + 13.4% FIN (1000Genomes) @ 7.8
    18 80.7% BiakaPygmy (Henn) + 19.3% Uzbeks (Behar) @ 7.81
    19 80.6% Biaka_Pygmies (HGDP) + 19.4% Uzbeks (Behar) @ 7.83
    20 86.5% !Kung (Xing) + 13.5% CEU (HapMap) @ 7.84

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    Quote Originally Posted by Hadouken View Post
    is this for real ?
    Yes, uploaded from academic study. It was possible to extract and convert.

  5. #5
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    Genetically closest to African populations as what I would have suspected.


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    Orang (Ape)

    TK9050326



    HarappaWorld Oracle results:
    23 April 2013 - Oracle reference population percentages revised.

    Kit TK9050326

    Admix Results (sorted):

    # Population Percent
    1 San 45.62
    2 Pygmy 29.37
    3 W-African 15.37
    4 NE-Euro 3.72
    5 Papuan 1.81
    6 Mediterranean 1.69
    7 SE-Asian 1.09
    8 NE-Asian 0.82
    9 Baloch 0.26
    10 Beringian 0.18
    11 American 0.07

    Single Population Sharing:

    # Population (source) Distance
    1 !kung (xing) 45.72
    2 san (henn2011) 52.69
    3 xhosa (henn2012) 60.46
    4 biakapygmy (hgdp) 61.16
    5 sotho-tswana (xing) 62.11
    6 sandawe (henn2011) 68.04
    7 dominican (bryc) 70.75
    8 siddi (reich) 71
    9 san-nb (henn2011) 71.41
    10 nguni (xing) 71.62
    11 puerto-rican (bryc) 71.82
    12 alur (xing) 71.99
    13 pedi (xing) 72.87
    14 hadza (henn2011) 72.9
    15 bantusouthafrica (hgdp) 72.91
    16 hema (xing) 74.11
    17 uzbek (behar) 74.49
    18 puerto-rican (1000genomes) 74.65
    19 san (hgdp) 74.91
    20 romanian-b (behar) 75.53

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 53.8% san (henn2011) + 46.2% biakapygmy (hgdp) @ 6.35
    2 53.9% biakapygmy (hgdp) + 46.1% san-nb (henn2011) @ 7.41
    3 68.8% !kung (xing) + 31.2% mbutipygmy (hgdp) @ 9.52
    4 68.8% !kung (xing) + 31.2% pygmy (xing) @ 9.52
    5 57.6% !kung (xing) + 42.4% biakapygmy (hgdp) @ 12.33
    6 66% san (henn2011) + 34% mbutipygmy (hgdp) @ 15.02
    7 66% san (henn2011) + 34% pygmy (xing) @ 15.02
    8 58.9% san-nb (henn2011) + 41.1% mbutipygmy (hgdp) @ 24.68
    9 58.9% san-nb (henn2011) + 41.1% pygmy (xing) @ 24.68
    10 60.4% san (henn2011) + 39.6% alur (xing) @ 30.98
    11 66% !kung (xing) + 34% alur (xing) @ 31.24
    12 50.2% san-nb (henn2011) + 49.8% alur (xing) @ 31.47
    13 66.9% !kung (xing) + 33.1% puerto-rican (bryc) @ 33.03
    14 66.6% !kung (xing) + 33.4% dominican (bryc) @ 33.34
    15 68.1% !kung (xing) + 31.9% puerto-rican (1000genomes) @ 33.37
    16 68.1% !kung (xing) + 31.9% uzbek (behar) @ 33.37
    17 68.6% !kung (xing) + 31.4% romanian-b (behar) @ 33.59
    18 68.6% !kung (xing) + 31.4% uyghur (hgdp) @ 33.64
    19 68.9% !kung (xing) + 31.1% tajik (yunusbayev) @ 33.74
    20 68.8% !kung (xing) + 31.2% turkmen (yunusbayev) @ 33.78

  8. #8
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    Quote Originally Posted by mlukas View Post
    Yes, uploaded from academic study. It was possible to extract and convert.
    this should have never been done tbh.

    it is too much to handle for me I am honest

    and this will make a huge controversy and cause a lot of shitstorm in the world

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    WTF??!

    Fucks given: 0

  10. #10
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    Quote Originally Posted by PentaDrägon View Post
    WTF??!

    There are form this dataset at Reich https://reich.hms.harvard.edu/datasets

    Affymetrix Human Origins fully public dataset described in Lazaridis et al. Nature 2014
    https://reich.hms.harvard.edu/sites/...yPublic.tar.gz

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