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Thread: Eurasia K3 Calculator

  1. #1
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    Post Eurasia K3 Calculator

    I have decided to put together a K3 calculator, since members have indicated that they would like to see an E Eurasian/ W Eurasian calculator. It should be available this weekend sometime. I expect calculator effect to be negligible, and members can post their results here, when the calculator becomes available.

    A brief description of the components:

    1- E Eurasian - This component peaks in E & SE populations such as Ami, Nivkh, Dai, Han, and Ulchi, at about 100%, followed by Siberian & other Asian populations such as
    Nganasans, Tibetans, Subba, and Mongola.
    2- W Eurasian - This component peaks in Neolithic European farmers such as Stuttgart, and LBK culture, as well as in most modern European populations at over 95%.
    3- SSA (Sub-Saharan African) - This component peaks in Sub-Saharan African populations such as Yoruban, Esan, and Luhiya at over 97%.


    E_Eurasian SSA
    SSA 0.155
    W_Eurasian 0.094 0.134


    EDIT: John uploaded the calculator alot faster than I had anticipated. 4 population modeling would be useless at K3, since there are quite a few iterations that would result in a 0 distance. I will make a decision later as to whether to incorporate single and 2 population modeling oracle.


    [IMG][/IMG]
    Last edited by Kurd; 10-28-2015 at 01:27 PM.

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  3. #2
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    Looking forward to it!

    I think this will be especially useful for our South Asian regulars, as discussed in the other thread.

    [Edit]: In light of the fast upload, my result below.

    Code:
    Population	 
    E_Eurasian	11.21%
    SSA	3.96%
    W_Eurasian	84.83%

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  5. #3
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    Code:
     6.83%	E_Eurasian
     1.27%	SSA
    91.90%	W_Eurasian
    E-M84>FGC18389>FGC18413>FGC18401>FGC18422>Y99171 tMRCA 2550ybp

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  7. #4
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    Population
    E_Eurasian 5.84%
    SSA -
    W_Eurasian 94.16%

    No surprises

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  9. #5
    J Man
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    My own, my parent's and my grandfather's results. What exactly does ''East Eurasian'' mean in this test? Is ANE ancestry included in it to some degree?


    Me:

    Population
    E_Eurasian 6.19%
    SSA 0.33%
    W_Eurasian 93.47%



    Mom:


    Population
    E_Eurasian 2.38%
    SSA 0.14%
    W_Eurasian 97.48%



    Dad:

    Population
    E_Eurasian 8.81%
    SSA 0.24%
    W_Eurasian 90.95%




    Grandfather:

    Population
    E_Eurasian 1.96%
    SSA 2.00%
    W_Eurasian 96.04%

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    Population
    E_Eurasian 29.21%
    SSA 0.97%
    W_Eurasian 69.82%

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  13. #7
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    Population
    E_Eurasian 24.48%
    SSA 1.52%
    W_Eurasian 74.00%

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  15. #8
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    Father
    Code:
    E_Eurasian	10.54%
    SSA	2.25%
    W_Eurasian	87.22%
    Mother
    Code:
    E_Eurasian	14.01%
    SSA	4.02%
    W_Eurasian	81.97%
    Me
    Code:
    E_Eurasian	12.40%
    SSA	2.57%
    W_Eurasian	85.03%
    Terminal SNPs: FGC31931/V2381 PF6576 PF7562 PH1631/V2850

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  17. #9
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    Population
    E_Eurasian 36.79%
    SSA 2.00%
    W_Eurasian 61.21%

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  19. #10
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    United Kingdom Scotland England Ireland
    FTDNA

    Population
    E_Eurasian 3.91%
    SSA 0.72%
    W_Eurasian 95.37%


    Least-squares method.

    Using 1 population approximation:
    1 Georgian @ 0.577760
    2 Ukrainian @ 0.823499
    3 Lithuanian @ 1.176268
    4 Hungarian @ 1.221217
    5 Belarusian @ 1.291214
    6 Bulgarian @ 1.334119
    7 Armenian @ 1.755838
    8 Estonian @ 1.833127
    9 Norwegian @ 2.055493
    10 Abkhasian @ 2.092845
    11 Czech @ 2.372128
    12 Croatian @ 2.427125
    13 Georgian_Jew @ 2.512262
    14 Loschbour @ 2.771186
    15 Assyrian @ 2.842983
    16 Albanian @ 2.910132
    17 Iranian_Jew @ 2.980146
    18 Greek @ 3.031621
    19 French @ 3.130075
    20 Ashkenazi_Jew @ 3.308979

    Using 2 populations approximation:
    1 50% Chechen +50% LBK_EN @ 0.000000
    2 50% Chechen +50% Sardinian @ 0.000000
    3 50% Georgian +50% Ukrainian @ 0.000000
    4 50% Greek +50% Loschbour @ 0.000000
    5 50% Belarusian +50% Georgian @ 0.297977
    6 50% Abkhasian +50% Bulgarian @ 0.311479
    7 50% Abkhasian +50% Albanian @ 0.333145
    8 50% English +50% Kurd_N @ 0.408896
    9 50% Loschbour +50% Spanish @ 0.444120
    10 50% Abkhasian +50% Greek @ 0.459382
    11 50% Albanian +50% Loschbour @ 0.464636
    12 50% Bulgarian +50% Estonian @ 0.464967
    13 50% Armenian +50% Ukrainian @ 0.472156
    14 50% Abkhasian +50% Croatian @ 0.477563
    15 50% Belarusian +50% Bulgarian @ 0.491128
    16 50% Abkhasian +50% Czech @ 0.492936
    17 50% Bergamo +50% Chechen @ 0.515019
    18 50% Armenian +50% Belarusian @ 0.515480
    19 50% Abkhasian +50% Norwegian @ 0.518643
    20 50% Georgian_Jew +50% Norwegian @ 0.521283


    Using 3 populations approximation:
    1 50% Abkhasian +25% Abkhasian +25% LBK_EN @ 0.000000




    23andMe

    Population
    E_Eurasian 4.34%
    SSA 0.40%
    W_Eurasian 95.26%

    Least-squares method.

    Using 1 population approximation:
    1 Ukrainian @ 0.561595
    2 Belarusian @ 0.717980
    3 Georgian @ 1.112861
    4 Lithuanian @ 1.290798
    5 Estonian @ 1.316550
    6 Hungarian @ 1.379497
    7 Abkhasian @ 1.707491
    8 Bulgarian @ 1.758427
    9 Armenian @ 2.233474
    10 Loschbour @ 2.294461
    11 Norwegian @ 2.302489
    12 Georgian_Jew @ 2.613581
    13 Czech @ 2.643366
    14 Croatian @ 2.714632
    15 Assyrian @ 3.282496
    16 Iranian_Jew @ 3.299885
    17 Albanian @ 3.316997
    18 French @ 3.481271
    19 Greek @ 3.489430
    20 Ashkenazi_Jew @ 3.761496

    Using 2 populations approximation:
    1 50% Abkhasian +50% Bulgarian @ 0.000000
    2 50% Abkhasian +50% Hungarian @ 0.000000
    3 50% Abkhasian +50% Lithuanian @ 0.000000
    4 50% Abkhasian +50% Norwegian @ 0.000000
    5 50% Belarusian +50% Georgian @ 0.000000
    6 50% Bergamo +50% Chechen @ 0.000000
    7 50% Bulgarian +50% Estonian @ 0.000000
    8 50% Bulgarian +50% Loschbour @ 0.000000
    9 50% Chechen +50% French_South @ 0.000000
    10 50% Estonian +50% Georgian @ 0.250954
    11 50% Adygei +50% Stuttgart @ 0.265108
    12 50% Estonian +50% Hungarian @ 0.362597
    13 50% Loschbour +50% Norwegian @ 0.391947
    14 50% Estonian +50% Lithuanian @ 0.401747
    15 50% Abkhasian +50% Czech @ 0.456379
    16 50% Belarusian +50% Ukrainian @ 0.457051
    17 50% Chechen +50% LBK_EN @ 0.465659
    18 50% Croatian +50% Loschbour @ 0.490196
    19 50% Abkhasian +50% Croatian @ 0.494858
    20 50% Czech +50% Loschbour @ 0.501175


    Using 3 populations approximation:
    1 50% Abkhasian +25% Abkhasian +25% Bergamo @ 0.000000

    Done.
    Last edited by firemonkey; 10-28-2015 at 08:25 PM.

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