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Gedmatch oracle results with zero distance?

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  • Gedmatch oracle results with zero distance?

    I am not sure how to interpret the Oracle results from Gedmatch. I will post 3 tests here (I ran it through several, but for the sake of space I will post the 3 with the lowest distances).

    1)What does a zero distance mean? Is that a mistake?
    2)Why is there sometimes a discrepancy btw the single population estimate and the other populations? i.e. single population will say French for #1, then the 4 population won't say French in it's #1 pick. I guess I don't understand what all the populations mean, including the mixed mode.

    I have known family history of French and German. The rest is unknown.I'm really confused. I appreciate any help you can provide as I've been all over the internet searching for articles.

    WORLD 9 RESULTS:

    Admix Results (sorted):

    # Population Percent
    1 Atlantic_Baltic 70.14
    2 Southern 15.93
    3 Caucasus_Gedrosia 12.51


    Finished reading population data. 250 populations found.
    9 components mode.

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

    Least-squares method.

    Using 1 population approximation:
    1 French @ 3.289164
    2 Hungarians @ 4.049514
    3 French @ 4.678536
    4 Mixed_Germanic @ 4.782208
    5 Dutch @ 6.017097
    6 German @ 6.578744
    7 CEU30 @ 7.127922
    8 Cornwall @ 7.151822
    9 Kent @ 7.324482
    10 British @ 7.594193
    11 British_Isles @ 8.631747
    12 Argyll @ 9.613828
    13 Irish @ 9.746874
    14 Orcadian @ 9.920958
    15 Ukranians @ 9.976395
    16 Orkney @ 10.345203
    17 Cataluna @ 11.612907
    18 Polish @ 11.778162
    19 Cantabria @ 13.475877
    20 Valencia @ 13.602258

    Using 2 populations approximation:
    1 50% Lithuanian +50% North_Italian @ 1.590430


    Using 3 populations approximation:
    1 50% German +25% German +25% North_Italian @ 0.723060


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++
    1 German + German + German + North_Italian @ 0.723060
    2 Orcadian + Tuscan + Orkney + Kent @ 0.740416
    3 Orcadian + Orcadian + Tuscan + Cornwall @ 0.763371
    4 Orcadian + Orcadian + Tuscan + Kent @ 0.765978
    5 Orcadian + Orcadian + TSI30 + Kent @ 0.773019
    6 British_Isles + Orcadian + TSI30 + Kent @ 0.776363
    7 Orcadian + Orcadian + TSI30 + Cornwall @ 0.779075
    8 German + German + Mixed_Germanic + North_Italian @ 0.782115
    9 German + Mixed_Germanic + N_Italian + Kent @ 0.791474
    10 Orcadian + Tuscan + Orkney + Cornwall @ 0.795393
    11 Orcadian + TSI30 + Orkney + Kent @ 0.804520
    12 Irish + TSI30 + Orkney + Cornwall @ 0.811144
    13 Orcadian + TSI30 + Orkney + Cornwall @ 0.812009
    14 Irish + British_Isles + TSI30 + Kent @ 0.817862
    15 German + German + Dutch + North_Italian @ 0.821580
    16 British_Isles + Orcadian + Tuscan + Kent @ 0.822588
    17 Irish + Orcadian + TSI30 + Cornwall @ 0.822964
    18 Irish + Orcadian + Tuscan + Kent @ 0.823193
    19 Tuscan + Orkney + Orkney + Kent @ 0.823952
    20 Irish + N_Italian + French + Argyll @ 0.825799


    DODECAD K7B RESULTS:

    Admix Results (sorted):

    # Population Percent
    1 Atlantic_Baltic 70.25
    2 Southern 17.09
    3 West_Asian 11.92


    Finished reading population data. 223 populations found.
    7 components mode.

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

    Least-squares method.

    Using 1 population approximation:
    1 French @ 3.284303
    2 French @ 3.848677
    3 Hungarians @ 4.002240
    4 Mixed_Germanic @ 5.899097
    5 Cornwall @ 6.681156
    6 German @ 6.704540
    7 Kent @ 7.476999
    8 CEU30 @ 7.559174
    9 English @ 7.823720
    10 Dutch @ 7.950091
    11 British @ 9.419150
    12 British_Isles @ 9.631509
    13 Irish @ 9.831725
    14 Argyll @ 10.295884
    15 Orcadian @ 10.361053
    16 Ukranians @ 10.935315
    17 Orkney @ 11.125044
    18 Mixed_Slav @ 11.969707
    19 Cataluna @ 12.202754
    20 Polish @ 13.451064

    Using 2 populations approximation:
    1 50% French +50% Hungarians @ 1.182237


    Using 3 populations approximation:
    1 50% Argyll +25% French +25% N_Italian @ 0.000000


    Using 4 populations approximation:
    +++++++++++
    1 Argyll + Argyll + French + N_Italian @ 0.000000
    2 Argyll + Argyll + French + N_Italian @ 0.000000
    3 Argyll + British + English + TSI30 @ 0.000000
    4 Argyll + British_Isles + English + TSI30 @ 0.000000
    5 Argyll + French + N_Italian + Orcadian @ 0.000000
    6 British + British + English + TSI30 @ 0.000000
    7 British + British + English + Tuscan @ 0.000000
    8 British + British + Irish + TSI30 @ 0.000000
    9 British + British + Kent + TSI30 @ 0.000000
    10 British + British_Isles + CEU30 + TSI30 @ 0.000000
    11 British + British_Isles + English + TSI30 @ 0.000000
    12 British + British_Isles + English + Tuscan @ 0.000000
    13 British + British_Isles + Kent + TSI30 @ 0.000000
    14 British + CEU30 + Irish + TSI30 @ 0.000000
    15 British + CEU30 + Orcadian + TSI30 @ 0.000000
    16 British + Cornwall + Orcadian + TSI30 @ 0.000000
    17 British + Cornwall + Orkney + TSI30 @ 0.000000
    18 British + English + English + O_Italian @ 0.000000
    19 British + English + Irish + TSI30 @ 0.000000
    20 British + English + Orcadian + TSI30 @ 0.000000


    EUROGENES K13:

    Admix Results (sorted):

    # Population Percent
    1 North_Atlantic 44.99
    2 Baltic 22.37
    3 West_Med 17.13
    4 East_Med 7.99
    5 West_Asian 4.06
    6 Sub-Saharan 1.36
    7 Amerindian 1.28


    Finished reading population data. 204 populations found.
    13 components mode.

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

    Least-squares method.

    Using 1 population approximation:
    1 South_Dutch @ 3.473050
    2 West_German @ 4.504345
    3 French @ 7.150387
    4 Southeast_English @ 7.294561
    5 Southwest_English @ 9.253923
    6 Orcadian @ 9.940016
    7 North_German @ 10.208385
    8 North_Dutch @ 10.612393
    9 Danish @ 10.785151
    10 Irish @ 11.354149
    11 West_Scottish @ 11.669416
    12 Austrian @ 11.782550
    13 Norwegian @ 13.152637
    14 East_German @ 13.162154
    15 Swedish @ 14.082396
    16 Spanish_Cataluna @ 14.972222
    17 Spanish_Castilla_Y_Leon @ 16.374390
    18 Spanish_Galicia @ 16.479252
    19 Southwest_French @ 16.641006
    20 Portuguese @ 16.700539

    Using 2 populations approximation:
    1 50% Spanish_Cataluna +50% Swedish @ 2.022785


    Using 3 populations approximation:
    1 50% Spanish_Cataluna +25% Swedish +25% Swedish @ 2.022785


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++
    1 East_German + Southeast_English + Southeast_English + Spanish_Valencia @ 1.864405
    2 East_German + Southeast_English + Southeast_English + Spanish_Murcia @ 1.904387
    3 Austrian + Orcadian + Southeast_English + Spanish_Valencia @ 1.913442
    4 Austrian + Southeast_English + Southeast_English + Spanish_Cataluna @ 1.939626
    5 East_German + Orcadian + Southeast_English + Spanish_Valencia @ 1.963085
    6 East_German + Southeast_English + Southeast_English + Spanish_Cataluna @ 1.970485
    7 Austrian + North_Dutch + Southeast_English + Spanish_Valencia @ 2.003021
    8 Spanish_Cataluna + Spanish_Cataluna + Swedish + Swedish @ 2.022785
    9 East_German + Southeast_English + Southeast_English + Spanish_Castilla_Y_Leon @ 2.023482
    10 Austrian + Southeast_English + Southeast_English + Spanish_Valencia @ 2.034532
    11 Austrian + Southeast_English + Southeast_English + Spanish_Castilla_Y_Leon @ 2.071862
    12 Southeast_English + Spanish_Valencia + Swedish + West_German @ 2.099588
    13 Hungarian + Orcadian + Southeast_English + Spanish_Aragon @ 2.100217
    14 East_German + Orcadian + Southeast_English + Spanish_Murcia @ 2.108919
    15 Austrian + Norwegian + Southeast_English + Spanish_Valencia @ 2.112341
    16 East_German + Portuguese + Southeast_English + Southeast_English @ 2.114074
    17 East_German + North_Dutch + Southeast_English + Spanish_Valencia @ 2.124759
    18 Hungarian + Southeast_English + Spanish_Valencia + West_Scottish @ 2.129980
    19 Austrian + Irish + Southeast_English + Spanish_Valencia @ 2.134564
    20 Austrian + Southeast_English + Spanish_Valencia + West_Scottish @ 2.137368

  • #2
    A distance of 0 (zero) means a perfect match; however, in your case with the Dodecad K7b, I believe a computing error has occurred.

    Comment


    • #3
      @NCroots: Is there a problem with that calculator, the Dodecad K7b? I've ran it 3 separate times and I get the same results. Thank you for your help.

      Comment


      • #4
        Originally posted by Brooke S. View Post
        @NCroots: Is there a problem with that calculator, the Dodecad K7b? I've ran it 3 separate times and I get the same results. Thank you for your help.

        Well, I ran my kit and did not get all zeros with Dodecad K7b-- hmmm. I didn't see how a perfect match could occur with populations admixtures that were not identical. Perhaps they are so similar as to give the same result?

        Comment


        • #5
          Originally posted by NCroots View Post
          Well, I ran my kit and did not get all zeros with Dodecad K7b-- hmmm. I didn't see how a perfect match could occur with populations admixtures that were not identical. Perhaps they are so similar as to give the same result?
          I just went ahead and emailed the person at the top of the results that it says to email. I'm not sure if I'll get a response but it's worth a try. Maybe I should just use the calculator that gives me the 0.5xxxx results instead, unless I hear different. Thank you!!!

          Comment

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