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Thread: World9 results2715 days old

  1. #11
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    Quote Originally Posted by jibarodepr View Post
    Probably by some French, Spanish ancestry, don't know for sure.
    Your mom is 19.39 native(Suming Amerindian, East Siberian and East Asian)
    was also wondering how my dad has 2% south asian. Its consistently showing up for all the tests.

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  4. #12
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    Quote Originally Posted by adamo90 View Post
    was also wondering how my dad has 2% south asian. Its consistently showing up for all the tests.
    Ancient ancestry.

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    World 9 is faulty I;m afraid. Here are my K 13



    Population
    North European 28.20%
    West African 11.80%
    Mediterranean 26.66%
    Northeast African 3.99%
    North Eurasian 0.33%
    South Asian 2.03%
    Southwest Asian 4.21%
    Pygmy 0.64%
    Caucasus 5.28%
    East Siberian 0.40%
    East Asian -
    Amerindian 12.37%
    West Central Asian 4.08%

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    He also tested his parents on K13.

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  10. #15
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    Wow, another haplo C1c
    DNA TRIBES: Mesoamerican 33.53% Iberian 20.92% Northwest European 17.47% Arabian 12.69% North African 7% Baltic Urals 5.84%

    World9: Atlantic Baltid 35,90% Amerindian: 33,60% Southern 20,70% Caucasus Gedrosia 6,50% African 2,20% South Asian 1,10%

    FTDNA: Europe 54,19% Native American 34,02 Middle East 11,79%

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  12. #16
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    I just did my Dodecad World9 and it's not accurate for me either. It says my top match is Hungarian. Second match, German, is a good fit. My actual ancestry is 3/4 NW European (mostly English and Scottish) and 1/4 Czechoslovakian.

    Population
    Amerindian 0.70
    East_Asian 0.88
    African 0.48
    Atlantic_Baltic 69.47
    Australasian 0.58
    Siberian 0.63
    Caucasus_Gedrosia 13.60
    Southern 13.18
    South_Asian 0.47


    Oracle-4
    Admix Results (sorted):

    # Population Percent
    1 Atlantic_Baltic 69.47
    2 Caucasus_Gedrosia 13.60
    3 Southern 13.18


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

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

    Least-squares method.

    Using 1 population approximation:
    1 Hungarians_Behar @ 2.289582
    2 Mixed_Germanic_Dodecad @ 4.713411
    3 Dutch_Dodecad @ 5.394181
    4 German_Dodecad @ 5.929310
    5 French_HGDP @ 6.100158
    6 CEU30_1000Genomes @ 6.645525
    7 Cornwall_1000 Genomes @ 7.188562
    8 Kent_1000 Genomes @ 7.290220
    9 British_Dodecad @ 7.361049
    10 Ukranians_Yunusbayev @ 7.506001
    11 French_Dodecad @ 7.566680
    12 British_Isles_Dodecad @ 8.498096
    13 Argyll_1000 Genomes @ 8.673205
    14 Irish_Dodecad @ 9.133595
    15 Orcadian_HGDP @ 9.378450
    16 Orkney_1000 Genomes @ 9.890567
    17 Polish_Dodecad @ 10.249793
    18 Belorussian_Behar @ 12.016148
    19 Russian_B_Behar @ 12.400391
    20 Russian_Dodecad @ 12.682334

    Using 2 populations approximation:
    1 50% Lithuanian_Dodecad +50% N_Italian_Dodecad @ 1.811490


    Using 3 populations approximation:
    1 50% Orcadian_HGDP +25% Tuscan_HGDP +25% Russian_B_Behar @ 1.100106


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++
    1 Norwegian_Dodecad + Lithuanian_Dodecad + Orcadian_HGDP + Ashkenazy_Jews @ 0.997907
    2 O_Italian_Dodecad + Orcadian_HGDP + Orcadian_HGDP + Russian_B_Behar @ 1.002606
    3 Swedish_Dodecad + Lithuanian_Dodecad + Orcadian_HGDP + Ashkenazy_Jews @ 1.007437
    4 Swedish_Dodecad + Lithuanian_Dodecad + Ashkenazy_Jews + Orkney_1000 Genomes @ 1.028088
    5 O_Italian_Dodecad + Orcadian_HGDP + Russian_B_Behar + Orkney_1000 Genomes @ 1.032787
    6 Swedish_Dodecad + O_Italian_Dodecad + CEU30_1000Genomes + Belorussian_Behar @ 1.038849
    7 Norwegian_Dodecad + Orcadian_HGDP + Ashkenazy_Jews + Lithuanians @ 1.060337
    8 Swedish_Dodecad + Sicilian_Dodecad + Lithuanian_Dodecad + Orcadian_HGDP @ 1.071673
    9 Norwegian_Dodecad + Lithuanian_Dodecad + Ashkenazy_Jews + Orkney_1000 Genomes @ 1.072592
    10 O_Italian_Dodecad + Russian_B_Behar + Orkney_1000 Genomes + Orkney_1000 Genomes @ 1.078159
    11 Swedish_Dodecad + Orcadian_HGDP + Ashkenazy_Jews + Lithuanians @ 1.079462
    12 Orcadian_HGDP + Tuscan_HGDP + Russian_B_Behar + Argyll_1000 Genomes @ 1.082374
    13 Norwegian_Dodecad + Ashkenazy_Jews + Lithuanians + Orkney_1000 Genomes @ 1.091503
    14 Orcadian_HGDP + Orcadian_HGDP + Tuscan_HGDP + Russian_B_Behar @ 1.100106
    15 Ashkenazi_Dodecad + Swedish_Dodecad + Lithuanian_Dodecad + Orkney_1000 Genomes @ 1.110795
    16 Norwegian_Dodecad + O_Italian_Dodecad + CEU30_1000Genomes + Russian_B_Behar @ 1.111379
    17 Swedish_Dodecad + Ashkenazy_Jews + Lithuanians + Orkney_1000 Genomes @ 1.124093
    18 Swedish_Dodecad + Sicilian_Dodecad + Lithuanian_Dodecad + Orkney_1000 Genomes @ 1.132912
    19 Norwegian_Dodecad + O_Italian_Dodecad + CEU30_1000Genomes + Belorussian_Behar @ 1.133194
    20 Swedish_Dodecad + Sicilian_Dodecad + Orcadian_HGDP + Lithuanians @ 1.140616


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

    Here are my Eurogenes K13 results

    Population
    North_Atlantic 39.70
    Baltic 25.82
    West_Med 16.92
    West_Asian 7.35
    East_Med 5.20
    Red_Sea -
    South_Asian 1.06
    East_Asian 1.72
    Siberian -
    Amerindian 0.29
    Oceanian 1.04
    Northeast_African -
    Sub-Saharan 0.90

    Admix Results (sorted):

    # Population Percent
    1 North_Atlantic 39.7
    2 Baltic 25.82
    3 West_Med 16.92
    4 West_Asian 7.35
    5 East_Med 5.2
    6 East_Asian 1.72
    7 South_Asian 1.06
    8 Oceanian 1.04
    9 Sub-Saharan 0.9
    10 Amerindian 0.29

    Single Population Sharing:

    # Population (source) Distance
    1 West_German 5.88
    2 Austrian 6.03
    3 South_Dutch 6.44
    4 East_German 7
    5 North_German 9.26
    6 French 10.06
    7 Hungarian 10.41
    8 Southeast_English 10.52
    9 Danish 11.15
    10 North_Dutch 11.16
    11 Orcadian 11.51
    12 Southwest_English 11.85
    13 Swedish 12.09
    14 Irish 12.42
    15 Norwegian 12.7
    16 West_Scottish 13.25
    17 Serbian 14.63
    18 North_Swedish 14.69
    19 Croatian 14.97
    20 Moldavian 16

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 57.8% Southwest_English + 42.2% Moldavian @ 3.05
    2 84.9% Austrian + 15.1% French_Basque @ 3.5
    3 82.2% East_German + 17.8% French_Basque @ 3.71
    4 73.6% South_Dutch + 26.4% Croatian @ 3.83
    5 61.3% Southeast_English + 38.7% Moldavian @ 3.85
    6 77.9% South_Dutch + 22.1% Ukrainian_Lviv @ 3.86
    7 53.1% South_Dutch + 46.9% East_German @ 3.89
    8 56.9% West_German + 43.1% East_German @ 3.9
    9 75.2% South_Dutch + 24.8% Moldavian @ 3.91
    10 78.8% South_Dutch + 21.2% Ukrainian @ 3.91
    11 56.4% Southwest_English + 43.6% Croatian @ 3.95
    12 61.6% East_German + 38.4% French @ 3.96
    13 52.9% Austrian + 47.1% South_Dutch @ 4.04
    14 81% West_German + 19% Ukrainian_Lviv @ 4.07
    15 81.8% West_German + 18.2% Ukrainian @ 4.08
    16 78.9% East_German + 21.1% Spanish_Aragon @ 4.15
    17 77.4% South_Dutch + 22.6% South_Polish @ 4.16
    18 71.9% Austrian + 28.1% Southwest_English @ 4.17
    19 74.1% East_German + 25.9% Spanish_Cataluna @ 4.17
    20 76.2% East_German + 23.8% Spanish_Cantabria @ 4.18


    Admix Results (sorted):

    # Population Percent
    1 North_Atlantic 39.70
    2 Baltic 25.82
    3 West_Med 16.92
    4 West_Asian 7.35
    5 East_Med 5.20
    6 East_Asian 1.72
    7 South_Asian 1.06
    8 Oceanian 1.04


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

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

    Least-squares method.

    Using 1 population approximation:
    1 West_German @ 6.604717
    2 Austrian @ 6.647614
    3 South_Dutch @ 7.180537
    4 East_German @ 7.752789
    5 North_German @ 10.378546
    6 French @ 11.327498
    7 Hungarian @ 11.759190
    8 Southeast_English @ 12.019884
    9 Danish @ 12.629073
    10 North_Dutch @ 12.684804
    11 Orcadian @ 13.142347
    12 Southwest_English @ 13.583917
    13 Swedish @ 13.681650
    14 Irish @ 14.180035
    15 Norwegian @ 14.415522
    16 West_Scottish @ 15.147392
    17 North_Swedish @ 16.427605
    18 Serbian @ 16.874931
    19 Croatian @ 17.067812
    20 Moldavian @ 18.344997

    Using 2 populations approximation:
    1 50% Moldavian +50% Southwest_English @ 4.031204


    Using 3 populations approximation:
    1 50% Irish +25% North_Italian +25% Ukrainian @ 3.494097


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++
    1 French_Basque + Irish + Serbian + Ukrainian_Belgorod @ 2.862437
    2 French_Basque + Serbian + Ukrainian_Belgorod + West_Scottish @ 2.959388
    3 French_Basque + Irish + Moldavian + South_Polish @ 3.050702
    4 French_Basque + Moldavian + Ukrainian_Belgorod + West_Scottish @ 3.077352
    5 Austrian + French_Basque + Ukrainian_Belgorod + West_German @ 3.113642
    6 French_Basque + Hungarian + Moldavian + Swedish @ 3.119937
    7 Moldavian + North_German + Southwest_French + Swedish @ 3.126288
    8 Danish + French_Basque + Moldavian + South_Polish @ 3.147456
    9 French_Basque + Irish + Moldavian + Ukrainian_Belgorod @ 3.151313
    10 French_Basque + Hungarian + North_German + Ukrainian_Lviv @ 3.160353
    11 French_Basque + Moldavian + North_Dutch + South_Polish @ 3.164676
    12 French_Basque + Hungarian + Irish + Ukrainian_Belgorod @ 3.167540
    13 French_Basque + Moldavian + South_Polish + West_Scottish @ 3.173785
    14 Moldavian + North_German + North_German + Southwest_French @ 3.174563
    15 French_Basque + Orcadian + Serbian + Ukrainian_Belgorod @ 3.186901
    16 Irish + Spanish_Cantabria + Ukrainian_Belgorod + West_German @ 3.201093
    17 French_Basque + Norwegian + Serbian + Ukrainian_Belgorod @ 3.209043
    18 Moldavian + North_German + Spanish_Cantabria + Swedish @ 3.210837
    19 French_Basque + North_Dutch + Serbian + Ukrainian_Belgorod @ 3.226885
    20 Irish + Southwest_French + Ukrainian_Belgorod + West_German @ 3.234313
    Last edited by ~Elizabeth~; 2017-08-07 at 06:16.

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  14. #17
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    World 9 sucks it is totally off :

    World9 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.

    Admix Results (sorted):

    # Population Percent
    1 Atlantic_Baltic 71.74
    2 Caucasus_Gedrosia 12.96
    3 Southern 10.73
    4 Amerindian 1.30


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

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

    Least-squares method.

    Using 1 population approximation:
    1 Dutch_Dodecad @ 3.361753
    2 German_Dodecad @ 3.555515
    3 Mixed_Germanic_Dodecad @ 3.640368
    4 CEU30_1000Genomes @ 4.248354
    5 Ukranians_Yunusbayev @ 4.925007
    6 British_Dodecad @ 5.058998
    7 Kent_1000 Genomes @ 5.129514
    8 Cornwall_1000 Genomes @ 5.157128
    9 Hungarians_Behar @ 5.285499
    10 Argyll_1000 Genomes @ 5.669653
    11 British_Isles_Dodecad @ 6.068948
    12 Irish_Dodecad @ 6.272130
    13 Orcadian_HGDP @ 6.534968
    14 Polish_Dodecad @ 7.028281
    15 Orkney_1000 Genomes @ 7.065549
    16 French_HGDP @ 8.539908
    17 Belorussian_Behar @ 8.742702
    18 Russian_B_Behar @ 9.300431
    19 Russian_Dodecad @ 9.726943
    20 French_Dodecad @ 9.758267

    Using 2 populations approximation:
    1 50% Hungarians_Behar +50% Argyll_1000 Genomes @ 1.889223


    Using 3 populations approximation:
    1 50% Lithuanian_Dodecad +25% O_Italian_Dodecad +25% CEU30_1000Genomes @ 1.613259


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++
    1 Brazilian_Dodecad + Lithuanians + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 1.565006
    2 N_Italian_Dodecad + Orcadian_HGDP + Belorussian_Behar + Russian_B_Behar @ 1.578380
    3 Lithuanian_Dodecad + TSI30_Metspalu + Russian_B_Behar + Orkney_1000 Genomes @ 1.589024
    4 Lithuanian_Dodecad + Orcadian_HGDP + TSI30_Metspalu + Russian_B_Behar @ 1.597429
    5 Lithuanian_Dodecad + Lithuanian_Dodecad + O_Italian_Dodecad + CEU30_1000Genomes @ 1.613259
    6 Polish_Dodecad + Brazilian_Dodecad + Belorussian_Behar + Ukranians_Yunusbayev @ 1.628056
    7 N_Italian_Dodecad + Belorussian_Behar + Russian_B_Behar + Orkney_1000 Genomes @ 1.633000
    8 N_Italian_Dodecad + Belorussian_Behar + Russian_B_Behar + Argyll_1000 Genomes @ 1.635343
    9 Brazilian_Dodecad + Belorussian_Behar + Belorussian_Behar + Ukranians_Yunusbayev @ 1.635500
    10 Brazilian_Dodecad + Lithuanian_Dodecad + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 1.635510
    11 Irish_Dodecad + N_Italian_Dodecad + Belorussian_Behar + Russian_B_Behar @ 1.636924
    12 Lithuanian_Dodecad + Tuscan_HGDP + Russian_B_Behar + Orkney_1000 Genomes @ 1.643708
    13 German_Dodecad + Swedish_Dodecad + Swedish_Dodecad + Romanians_Behar @ 1.648866
    14 Norwegian_Dodecad + Lithuanian_Dodecad + O_Italian_Dodecad + Belorussian_Behar @ 1.653265
    15 TSI30_Metspalu + Lithuanians + Russian_B_Behar + Orkney_1000 Genomes @ 1.657303
    16 German_Dodecad + Swedish_Dodecad + Norwegian_Dodecad + Romanians_Behar @ 1.661460
    17 Lithuanian_Dodecad + Orcadian_HGDP + Tuscan_HGDP + Russian_B_Behar @ 1.662421
    18 Swedish_Dodecad + Lithuanian_Dodecad + O_Italian_Dodecad + Belorussian_Behar @ 1.663919
    19 British_Dodecad + Lithuanian_Dodecad + Lithuanian_Dodecad + O_Italian_Dodecad @ 1.665507
    20 Norwegian_Dodecad + Orcadian_HGDP + Belorussian_Behar + Romanians_Behar @ 1.667221

    Done.


    Dodecad v3 is the best Dodecad calculator but it is still flawed because I don't have any Slovenian or anything close to it ancestry in four population mode :


    Dodecad V3 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.

    The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.

    Admix Results (sorted):

    # Population Percent
    1 West_European 55.26
    2 Mediterranean 22.59
    3 East_European 9.92
    4 West_Asian 8.18
    5 South_Asian 1.50


    Finished reading population data. 227 populations found.
    12 components mode.

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

    Least-squares method.

    Using 1 population approximation:
    1 Argyll_1000 Genomes @ 2.249808
    2 N._European_Xing @ 2.591351
    3 Orkney_1000 Genomes @ 3.121784
    4 Orcadian_HGDP @ 3.307065

    5 CEU_HapMap @ 4.024599
    6 Mixed_Germanic_Dodecad @ 7.008824
    7 German_Dodecad @ 7.902879
    8 Dutch_Dodecad @ 8.482584
    9 Kent_1000 Genomes @ 10.774459
    10 British_Isles_Dodecad @ 12.479917
    11 British_Dodecad @ 12.775180
    12 French_HGDP @ 13.378494
    13 Cornwall_1000 Genomes @ 13.467739
    14 French_Dodecad @ 14.042091
    15 Swedish_Dodecad @ 15.039600
    16 Irish_Dodecad @ 15.504419
    17 Norwegian_Dodecad @ 15.915921
    18 Slovenian_Xing @ 19.984768
    19 Hungarians_Behar @ 24.792782
    20 French_Basque_HGDP @ 26.045980

    Using 2 populations approximation:
    1 50% Argyll_1000 Genomes +50% N._European_Xing @ 2.034681


    Using 3 populations approximation:
    1 50% Kent_1000 Genomes +25% Argyll_1000 Genomes +25% Slovenian_Xing @ 1.923346


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++
    1 Cornwall_1000 Genomes + Dutch_Dodecad + Argyll_1000 Genomes + Slovenian_Xing @ 1.836259
    2 British_Dodecad + Dutch_Dodecad + Argyll_1000 Genomes + Slovenian_Xing @ 1.840761
    3 British_Isles_Dodecad + Dutch_Dodecad + Argyll_1000 Genomes + Slovenian_Xing @ 1.857442
    4 Mixed_Germanic_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes + N._European_Xing @ 1.886804
    5 Mixed_Germanic_Dodecad + Argyll_1000 Genomes + N._European_Xing + N._European_Xing @ 1.902254

    6 Cornwall_1000 Genomes + Mixed_Germanic_Dodecad + Argyll_1000 Genomes + Slovenian_Xing @ 1.908361
    7 British_Dodecad + Mixed_Germanic_Dodecad + Argyll_1000 Genomes + Slovenian_Xing @ 1.908643
    8 Kent_1000 Genomes + Kent_1000 Genomes + Argyll_1000 Genomes + Slovenian_Xing @ 1.923346
    9 Dutch_Dodecad + Irish_Dodecad + Argyll_1000 Genomes + Slovenian_Xing @ 1.935454
    10 Dutch_Dodecad + Kent_1000 Genomes + Argyll_1000 Genomes + Slovenian_Xing @ 1.938373
    11 British_Dodecad + Mixed_Germanic_Dodecad + Orkney_1000 Genomes + Slovenian_Xing @ 1.941690
    12 Kent_1000 Genomes + Kent_1000 Genomes + N._European_Xing + Slovenian_Xing @ 1.962639
    13 Irish_Dodecad + Mixed_Germanic_Dodecad + Argyll_1000 Genomes + Slovenian_Xing @ 1.963661
    14 Cornwall_1000 Genomes + Mixed_Germanic_Dodecad + Orkney_1000 Genomes + Slovenian_Xing @ 1.965882
    15 British_Isles_Dodecad + Mixed_Germanic_Dodecad + Argyll_1000 Genomes + Slovenian_Xing @ 1.966242
    16 British_Dodecad + Kent_1000 Genomes + Argyll_1000 Genomes + Slovenian_Xing @ 1.968178
    17 CEU_HapMap + Irish_Dodecad + Mixed_Germanic_Dodecad + Slovenian_Xing @ 1.977643
    18 British_Isles_Dodecad + Kent_1000 Genomes + Argyll_1000 Genomes + Slovenian_Xing @ 1.982189
    19 British_Isles_Dodecad + Dutch_Dodecad + N._European_Xing + Slovenian_Xing @ 1.984521
    20 British_Dodecad + Dutch_Dodecad + N._European_Xing + Slovenian_Xing @ 1.990038

    Done.

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  16. #18
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    Admix Results (sorted):

    # Population Percent
    1 Atlantic_Baltic 69.60
    2 Southern 15.66
    3 Caucasus_Gedrosia 12.52
    4 Amerindian 1.81


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

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

    Least-squares method.

    Using 1 population approximation:
    1 French_HGDP @ 3.690674
    2 Hungarians_Behar @ 3.897092
    3 French_Dodecad @ 5.022914
    4 Mixed_Germanic_Dodecad @ 5.224591
    5 Dutch_Dodecad @ 6.361472
    6 German_Dodecad @ 6.906821
    7 CEU30_1000Genomes @ 7.438217
    8 Cornwall_1000 Genomes @ 7.541810
    9 Kent_1000 Genomes @ 7.725898
    10 British_Dodecad @ 7.980457
    11 British_Isles_Dodecad @ 8.993039
    12 Argyll_1000 Genomes @ 9.858596
    13 Ukranians_Yunusbayev @ 10.010550
    14 Irish_Dodecad @ 10.041208
    15 Orcadian_HGDP @ 10.209570
    16 Orkney_1000 Genomes @ 10.661826
    17 Cataluna_1000 Genomes @ 11.721509
    18 Polish_Dodecad @ 11.978470
    19 Cantabria_1000 Genomes @ 13.656069
    20 Valencia_1000 Genomes @ 13.699508

    Using 2 populations approximation:
    1 50% French_HGDP +50% Hungarians_Behar @ 2.005525


    Using 3 populations approximation:
    1 50% Orcadian_HGDP +25% Tuscan_HGDP +25% Cornwall_1000 Genomes @ 1.356993


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++
    1 Orcadian_HGDP + Orcadian_HGDP + Tuscan_HGDP + Cornwall_1000 Genomes @ 1.356993
    2 Orcadian_HGDP + Orcadian_HGDP + Tuscan_HGDP + CEU30_1000Genomes @ 1.390448
    3 Orcadian_HGDP + Orcadian_HGDP + Tuscan_HGDP + Kent_1000 Genomes @ 1.398364
    4 British_Dodecad + Orcadian_HGDP + Orcadian_HGDP + Tuscan_HGDP @ 1.411781
    5 Irish_Dodecad + Orcadian_HGDP + Tuscan_HGDP + Cornwall_1000 Genomes @ 1.420229
    6 German_Dodecad + Orcadian_HGDP + Orcadian_HGDP + Tuscan_HGDP @ 1.421790
    7 German_Dodecad + Orcadian_HGDP + Tuscan_HGDP + Orkney_1000 Genomes @ 1.430458
    8 Orcadian_HGDP + Tuscan_HGDP + Orkney_1000 Genomes + Cornwall_1000 Genomes @ 1.437658
    9 German_Dodecad + British_Isles_Dodecad + Orcadian_HGDP + TSI30_Metspalu @ 1.437764
    10 German_Dodecad + Orcadian_HGDP + Orcadian_HGDP + TSI30_Metspalu @ 1.443657
    11 Irish_Dodecad + Orcadian_HGDP + Tuscan_HGDP + Kent_1000 Genomes @ 1.444816
    12 British_Isles_Dodecad + Orcadian_HGDP + Tuscan_HGDP + CEU30_1000Genomes @ 1.445925
    13 Irish_Dodecad + Orcadian_HGDP + Tuscan_HGDP + CEU30_1000Genomes @ 1.446474
    14 Orcadian_HGDP + Tuscan_HGDP + Cornwall_1000 Genomes + Argyll_1000 Genomes @ 1.448336
    15 British_Isles_Dodecad + Orcadian_HGDP + Orcadian_HGDP + Tuscan_HGDP @ 1.452132
    16 Orcadian_HGDP + Tuscan_HGDP + Orkney_1000 Genomes + Kent_1000 Genomes @ 1.452309
    17 Orcadian_HGDP + Tuscan_HGDP + CEU30_1000Genomes + Orkney_1000 Genomes @ 1.452477
    18 Orcadian_HGDP + Orcadian_HGDP + TSI30_Metspalu + Cornwall_1000 Genomes @ 1.454318
    19 British_Isles_Dodecad + Orcadian_HGDP + Tuscan_HGDP + Kent_1000 Genomes @ 1.454788
    20 British_Isles_Dodecad + O_Italian_Dodecad + Orcadian_HGDP + Orcadian_HGDP @ 1.456300

  17. The Following User Says Thank You to DragonRouge For This Useful Post:

    Power77 (2017-08-12)

  18. #19
    Established Member
    Floating Balloon Tchekitchek's Avatar
    Last Online
    2019-09-29 @ 11:26
    Join Date
    2010-01-31
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    LUIK ONAFHANKELIJK!!11
    Religion
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    Default

    Admix Results (sorted):

    # Population Percent
    1 Atlantic_Baltic 66.35
    2 Southern 19.12
    3 Caucasus_Gedrosia 13.28


    Least-squares method.

    Using 1 population approximation:
    1 French_HGDP @ 4.055875
    2 French_Dodecad @ 5.027211
    3 Hungarians_Behar @ 6.068594
    4 Cataluna_1000 Genomes @ 8.632437
    5 Mixed_Germanic_Dodecad @ 9.661950
    6 Valencia_1000 Genomes @ 10.370382
    7 Spaniards_Behar @ 10.425597
    8 Spanish_Dodecad @ 10.779871
    9 Dutch_Dodecad @ 10.890440
    10 Cantabria_1000 Genomes @ 11.234190
    11 Baleares_1000 Genomes @ 11.408688
    12 German_Dodecad @ 11.555645
    13 Galicia_1000 Genomes @ 11.716232
    14 Extremadura_1000 Genomes @ 11.778466
    15 Aragon_1000 Genomes @ 11.863517
    16 Castilla_La_Mancha_1000 Genomes @ 11.876846
    17 CEU30_1000Genomes @ 12.046687
    18 Cornwall_1000 Genomes @ 12.076018
    19 Kent_1000 Genomes @ 12.292332
    20 N_Italian_Dodecad @ 12.486826

    Using 2 populations approximation:
    1 50% N_Italian_Dodecad +50% CEU30_1000Genomes @ 0.387210


    Using 3 populations approximation:
    1 50% N_Italian_Dodecad +25% CEU30_1000Genomes +25% CEU30_1000Genomes @ 0.387210


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++
    1 French_Dodecad + C_Italian_Dodecad + British_Isles_Dodecad + CEU30_1000Genomes @ 0.311961
    2 British_Dodecad + French_Dodecad + C_Italian_Dodecad + CEU30_1000Genomes @ 0.336960
    3 French_Dodecad + C_Italian_Dodecad + British_Isles_Dodecad + Dutch_Dodecad @ 0.361511
    4 French_Dodecad + C_Italian_Dodecad + Mixed_Germanic_Dodecad + Orkney_1000 Genomes @ 0.386310
    5 French_Dodecad + C_Italian_Dodecad + Mixed_Germanic_Dodecad + Orcadian_HGDP @ 0.386711
    6 C_Italian_Dodecad + British_Isles_Dodecad + French_HGDP + Cornwall_1000 Genomes @ 0.386811
    7 N_Italian_Dodecad + North_Italian_HGDP + CEU30_1000Genomes + Argyll_1000 Genomes @ 0.386986
    8 N_Italian_Dodecad + N_Italian_Dodecad + CEU30_1000Genomes + CEU30_1000Genomes @ 0.387210
    9 British_Dodecad + French_Dodecad + C_Italian_Dodecad + Cornwall_1000 Genomes @ 0.411711
    10 French_Dodecad + Mixed_Germanic_Dodecad + Mixed_Germanic_Dodecad + Tuscan_HGDP @ 0.411711

    - - - Updated - - -

    Quote Originally Posted by DragonRouge View Post
    3 French_Dodecad @ 5.022914
    We got almost the same number on that one:

    2 French_Dodecad @ 5.027211
    Last edited by Tchekitchek; 2017-08-12 at 17:10.

  19. The Following 2 Users Say Thank You to Tchekitchek For This Useful Post:

    DragonRouge (2017-08-12), Power77 (2017-08-12)

  20. #20
    Established Member
    Molecular Biologist Kriptc06's Avatar
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    Default

    # Population Percent
    1 Atlantic_Baltic 43.92
    2 Southern 20.79
    3 Amerindian 13.47
    4 Caucasus_Gedrosia 10.8
    5 African 10.57
    6 Australasian 0.24
    7 South_Asian 0.22

    Single Population Sharing:

    # Population (source) Distance
    1 PUR30 6.68
    2 Brazilian (Dodecad) 14.86
    3 CLM30 15.22
    4 Puerto_Rican 15.56
    5 Romanians (Behar) 22.26
    6 Canarias (1000 Genomes) 22.73
    7 Bulgarian (Dodecad) 22.77
    8 O_Italian (Dodecad) 22.98
    9 Bulgarians (Yunusbayev) 23.03
    10 TSI30 (Metspalu) 23.1
    11 Tuscan (HGDP) 23.1
    12 N_Italian (Dodecad) 23.36
    13 North_Italian (HGDP) 23.58
    14 Murcia (1000 Genomes) 23.77
    15 Colombian 24.25
    16 Extremadura (1000 Genomes) 24.29
    17 C_Italian (Dodecad) 24.46
    18 Portuguese (Dodecad) 24.5
    19 Baleares (1000 Genomes) 24.67
    20 Andalucia (1000 Genomes) 24.83

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 90% PUR30 + 10% Lezgins (Behar) @ 4.16
    2 80.9% PUR30 + 19.1% Romanians (Behar) @ 4.25
    3 89.7% PUR30 + 10.3% Chechens (Yunusbayev) @ 4.26
    4 81.4% PUR30 + 18.6% Bulgarian (Dodecad) @ 4.32
    5 89.6% PUR30 + 10.4% Adygei (HGDP) @ 4.4
    6 81.9% PUR30 + 18.1% Bulgarians (Yunusbayev) @ 4.43
    7 89.7% PUR30 + 10.3% Balkars (Yunusbayev) @ 4.47
    8 90% PUR30 + 10% Kumyks (Yunusbayev) @ 4.55
    9 90.3% PUR30 + 9.7% North_Ossetians (Yunusbayev) @ 4.56
    10 90.1% PUR30 + 9.9% Tajiks (Yunusbayev) @ 4.71
    11 88.9% PUR30 + 11.1% Nogais (Yunusbayev) @ 4.83
    12 93.6% PUR30 + 6.4% Kalash @ 4.86
    13 92% PUR30 + 8% Georgians (Behar) @ 4.92
    14 92.5% PUR30 + 7.5% Abhkasians (Yunusbayev) @ 4.97
    15 85.7% PUR30 + 14.3% Greek (Dodecad) @ 5.03
    16 83.7% PUR30 + 16.3% O_Italian (Dodecad) @ 5.05
    17 84.1% PUR30 + 15.9% Tuscan (HGDP) @ 5.13
    18 91.5% PUR30 + 8.5% Armenians (Behar) @ 5.13
    19 84.1% PUR30 + 15.9% TSI30 (Metspalu) @ 5.15
    20 91.3% PUR30 + 8.7% Turkmens (Yunusbayev) @ 5.15

    - - - Updated - - -

    my grandmother

    Admix Results (sorted):

    # Population Percent
    1 Atlantic_Baltic 36.84
    2 African 21.39
    3 Southern 19.52
    4 Amerindian 15.77
    5 Caucasus_Gedrosia 5.45
    6 South_Asian 0.77
    7 Australasian 0.25

    Single Population Sharing:

    # Population (source) Distance
    1 Puerto_Rican 1.86
    2 PUR30 10.62
    3 CLM30 19.69
    4 Colombian 23.28
    5 Dominican 25.26
    6 Brazilian (Dodecad) 26.84
    7 Canarias (1000 Genomes) 33.58
    8 O_Italian (Dodecad) 35.27
    9 Murcia (1000 Genomes) 35.58
    10 Romanians (Behar) 35.68
    11 Tuscan (HGDP) 35.89
    12 TSI30 (Metspalu) 35.97
    13 Portuguese (Dodecad) 36.23
    14 C_Italian (Dodecad) 36.23
    15 Extremadura (1000 Genomes) 36.26
    16 Bulgarian (Dodecad) 36.38
    17 Bulgarians (Yunusbayev) 36.65
    18 N_Italian (Dodecad) 36.74
    19 North_Italian (HGDP) 36.77
    20 Andalucia (1000 Genomes) 36.94

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 96.4% Puerto_Rican + 3.6% MEX30 @ 1.22
    2 94.4% Puerto_Rican + 5.6% Colombian @ 1.23
    3 97% Puerto_Rican + 3% Ecuadorian @ 1.24
    4 98.5% Puerto_Rican + 1.5% Maya @ 1.26
    5 98.6% Puerto_Rican + 1.4% Pima @ 1.26
    6 98.3% Puerto_Rican + 1.7% PEL30 @ 1.26
    7 98.6% Puerto_Rican + 1.4% Colombians @ 1.26
    8 98.7% Puerto_Rican + 1.3% Karitiana @ 1.26
    9 98.7% Puerto_Rican + 1.3% Surui @ 1.26
    10 98% Puerto_Rican + 2% Athabask @ 1.26
    11 94.4% Puerto_Rican + 5.6% CLM30 @ 1.44
    12 98.2% Puerto_Rican + 1.8% WestGreenland @ 1.61
    13 98.7% Puerto_Rican + 1.3% EastGreenland @ 1.63
    14 98% Puerto_Rican + 2% Aleut @ 1.67
    15 98.9% Puerto_Rican + 1.1% Kalash @ 1.69
    16 98.9% Puerto_Rican + 1.1% Brahmins_from_Uttar_Pradesh (Metspalu) @ 1.7
    17 98.8% Puerto_Rican + 1.2% Burusho (HGDP) @ 1.71
    18 98.9% Puerto_Rican + 1.1% Kshatriya (Metspalu) @ 1.71
    19 98.9% Puerto_Rican + 1.1% Pathan (HGDP) @ 1.72
    20 99% Puerto_Rican + 1% Tharus (Metspalu) @ 1.72
    Adieu

  21. The Following User Says Thank You to Kriptc06 For This Useful Post:

    Power77 (2017-08-12)

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