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Thread: Post Your Dodecad World9 Results

  1. #351
    Senior Member Blemoir's Avatar
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    Admix Results (sorted):

    # Population Percent
    1 Atlantic_Baltic 47.94
    2 Southern 29.29
    3 Caucasus_Gedrosia 13.72
    4 African 6.08
    5 Amerindian 1.82
    6 Australasian 1.16


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

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

    Least-squares method.

    Using 1 population approximation:
    1 TSI30_Metspalu @ 8.480305
    2 Tuscan_HGDP @ 8.635646
    3 O_Italian_Dodecad @ 9.724409
    4 North_Italian_HGDP @ 10.987185
    5 N_Italian_Dodecad @ 11.408796
    6 C_Italian_Dodecad @ 11.736846
    7 Canarias_1000 Genomes @ 11.833496
    8 Brazilian_Dodecad @ 12.100825
    9 Bulgarian_Dodecad @ 13.067541
    10 Murcia_1000 Genomes @ 13.114804
    11 Bulgarians_Yunusbayev @ 13.368790
    12 Romanians_Behar @ 13.499601
    13 Baleares_1000 Genomes @ 14.479446
    14 Andalucia_1000 Genomes @ 15.095139
    15 Extremadura_1000 Genomes @ 15.334736
    16 Portuguese_Dodecad @ 15.648455
    17 Galicia_1000 Genomes @ 16.501995
    18 Greek_Dodecad @ 16.785070
    19 Castilla_La_Mancha_1000 Genomes @ 17.358219
    20 Castilla_Y_Leon_1000 Genomes @ 17.735846

    Using 2 populations approximation:
    1 50% C_Italian_Dodecad +50% Brazilian_Dodecad @ 3.688094


    Using 3 populations approximation:
    1 50% French_Basque +25% Mozabite +25% Lezgins_Behar @ 2.108801


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++
    1 Mixed_Germanic_Dodecad + Brazilian_Dodecad + North_Italian_HGDP + Egyptans_Behar @ 1.166827
    2 Mixed_Germanic_Dodecad + Brazilian_Dodecad + N_Italian_Dodecad + Egyptans_Behar @ 1.193106
    3 German_Dodecad + Brazilian_Dodecad + North_Italian_HGDP + Egyptans_Behar @ 1.213504
    4 Brazilian_Dodecad + North_Italian_HGDP + CEU30_1000Genomes + Egyptans_Behar @ 1.286122
    5 Dutch_Dodecad + Brazilian_Dodecad + North_Italian_HGDP + Egyptans_Behar @ 1.289641
    6 British_Dodecad + Brazilian_Dodecad + North_Italian_HGDP + Egyptans_Behar @ 1.328020
    7 Brazilian_Dodecad + North_Italian_HGDP + Egyptans_Behar + Cornwall_1000 Genomes @ 1.335330
    8 Brazilian_Dodecad + Egyptans_Behar + Hungarians_Behar + Baleares_1000 Genomes @ 1.341467
    9 Brazilian_Dodecad + North_Italian_HGDP + Egyptans_Behar + Kent_1000 Genomes @ 1.349202
    10 Brazilian_Dodecad + N_Italian_Dodecad + Egyptans_Behar + Cornwall_1000 Genomes @ 1.375553
    11 German_Dodecad + Brazilian_Dodecad + N_Italian_Dodecad + Egyptans_Behar @ 1.404504
    12 Brazilian_Dodecad + Egyptans_Behar + Hungarians_Behar + Extremadura_1000 Genomes @ 1.405814
    13 Brazilian_Dodecad + N_Italian_Dodecad + Egyptans_Behar + Kent_1000 Genomes @ 1.410799
    14 Brazilian_Dodecad + N_Italian_Dodecad + CEU30_1000Genomes + Egyptans_Behar @ 1.422494
    15 Dutch_Dodecad + Brazilian_Dodecad + N_Italian_Dodecad + Egyptans_Behar @ 1.426951
    16 British_Dodecad + Brazilian_Dodecad + N_Italian_Dodecad + Egyptans_Behar @ 1.427110
    17 Brazilian_Dodecad + Egyptans_Behar + Hungarians_Behar + Andalucia_1000 Genomes @ 1.444939
    18 Brazilian_Dodecad + Egyptans_Behar + Hungarians_Behar + Spaniards_Behar @ 1.497662
    19 Brazilian_Dodecad + Egyptans_Behar + Hungarians_Behar + Galicia_1000 Genomes @ 1.549325
    20 Norwegian_Dodecad + Brazilian_Dodecad + TSI30_Metspalu + Egyptans_Behar @ 1.562212

    Done.

  2. #352
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    Admix Results (sorted):

    #PopulationPercent
    Caucasus_Gedrosia49.392
    Southern31.443
    Atlantic_Baltic10.434
    South_Asian6.565
    Siberian1.166
    African1.03

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

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

    Least-squares method.

    Using 1 population approximation:
    1 Kurd_Dodecad @ 3.793697
    2 Iranians_Behar @ 4.062876
    3 Kurds_Yunusbayev @ 4.470870
    4 Iranian_Dodecad @ 4.901175
    5 Uzbekistan_Jews @ 7.543404
    6 Armenians_Yunusbayev @ 8.473471
    7 Armenian_Dodecad @ 8.897509
    8 Armenians_Behar @ 10.032501
    9 Azerbaijan_Jews @ 10.752390
    10 Georgians_Behar @ 10.925526
    11 Assyrian_Dodecad @ 11.712242
    12 Abhkasians_Yunusbayev @ 12.074006
    13 Turks_Behar @ 12.087025
    14 Georgia_Jews_Behar @ 14.452431
    15 Iranian_Jews_Behar @ 14.504404
    16 Turkish_Dodecad @ 15.953217
    17 Iraq_Jews_Behar @ 15.992499
    18 Kumyks_Yunusbayev @ 16.746595
    19 North_Ossetians_Yunusbayev @ 17.144997
    20 Syrians_Behar @ 17.934958

    Using 2 populations approximation:
    1 50% Iranian_Dodecad +50% Uzbekistan_Jews @ 2.589366


    Using 3 populations approximation:
    1 50% Assyrian_Dodecad +25% Kalash +25% Cypriots_Behar @ 1.509733


    Using 4 populations approximation:
    +++++++++++++++++++++++++++++++++++++++++++++++
    1 Armenian_Dodecad + Brahui_HGDP + Samaritians_Behar + Chechens_Yunusbayev @ 0.902193
    2 Brahui_HGDP + Samaritians_Behar + Armenians_Yunusbayev + Chechens_Yunusbayev @ 0.957405
    3 Adygei_HGDP + Brahui_HGDP + Samaritians_Behar + Armenians_Yunusbayev @ 0.968431
    4 Balochi_HGDP + Cypriots_Behar + Georgians_Behar + Iranian_Jews_Behar @ 0.974453
    5 Kalash + Armenians_Behar + Georgians_Behar + Yemen_Jews_Behar @ 1.037488
    6 Armenian_Dodecad + Balochi_HGDP + Samaritians_Behar + Chechens_Yunusbayev @ 1.061048
    7 Balochi_HGDP + Samaritians_Behar + Armenians_Yunusbayev + Chechens_Yunusbayev @ 1.067468
    8 Brahui_HGDP + Cypriots_Behar + Georgians_Behar + Iranian_Jews_Behar @ 1.098233
    9 Armenian_Dodecad + Adygei_HGDP + Brahui_HGDP + Samaritians_Behar @ 1.099334
    10 Adygei_HGDP + Balochi_HGDP + Samaritians_Behar + Armenians_Yunusbayev @ 1.113481
    11 Brahui_HGDP + Samaritians_Behar + Uzbekistan_Jews + Chechens_Yunusbayev @ 1.114150
    12 Turkish_Dodecad + Armenian_Dodecad + Assyrian_Dodecad + Brahui_HGDP @ 1.134226
    13 Assyrian_Dodecad + Balochi_HGDP + Lezgins_Behar + Samaritians_Behar @ 1.141988
    14 Brahui_HGDP + Azerbaijan_Jews + Samaritians_Behar + Chechens_Yunusbayev @ 1.151954
    15 Assyrian_Dodecad + Balochi_HGDP + Samaritians_Behar + Chechens_Yunusbayev @ 1.161237
    16 Balochi_HGDP + Azerbaijan_Jews + Samaritians_Behar + Chechens_Yunusbayev @ 1.171052
    17 Adygei_HGDP + Brahui_HGDP + Druze_HGDP + Iraq_Jews_Behar @ 1.174749
    18 Assyrian_Dodecad + Brahui_HGDP + Samaritians_Behar + Chechens_Yunusbayev @ 1.174954
    19 Armenian_Dodecad + Balochi_HGDP + Armenians_Behar + Georgia_Jews_Behar @ 1.185729
    20 Balochi_HGDP + Armenians_Behar + Georgians_Behar + Samaritians_Behar @ 1.198711

  3. #353
    TA fisherman association TheMaestro's Avatar
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    Admix Results (sorted):

    # Population Percent
    1 Atlantic_Baltic 58.82
    2 Southern 18.78
    3 Caucasus_Gedrosia 18.74
    4 Siberian 1.81
    5 Amerindian 1.36


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

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

    Least-squares method.

    Using 1 population approximation:
    1 Bulgarians_Yunusbayev @ 6.508024
    2 Bulgarian_Dodecad @ 7.717432
    3 Romanians_Behar @ 8.902560
    4 N_Italian_Dodecad @ 9.532443
    5 Hungarians_Behar @ 11.390197
    6 North_Italian_HGDP @ 11.425457
    7 Baleares_1000 Genomes @ 13.385691
    8 French_HGDP @ 13.403868
    9 French_Dodecad @ 14.370135
    10 Extremadura_1000 Genomes @ 14.840634
    11 Spaniards_Behar @ 15.063539
    12 Cataluna_1000 Genomes @ 15.072571
    13 Andalucia_1000 Genomes @ 15.240839
    14 Galicia_1000 Genomes @ 15.479660
    15 TSI30_Metspalu @ 15.657871
    16 Brazilian_Dodecad @ 15.806941
    17 Valencia_1000 Genomes @ 15.850965
    18 Portuguese_Dodecad @ 15.961607
    19 Castilla_La_Mancha_1000 Genomes @ 16.043055
    20 Spanish_Dodecad @ 16.273985

    Using 2 populations approximation:
    1 50% Greek_Dodecad +50% Belorussian_Behar @ 1.754920


    Using 3 populations approximation:
    1 50% Greek_Dodecad +25% Swedish_Dodecad +25% Russian_B_Behar @ 1.203837

  4. #354
    TA fisherman association TheMaestro's Avatar
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    Quote Originally Posted by TheMaestro View Post
    Admix Results (sorted):

    # Population Percent
    1 Atlantic_Baltic 58.82
    2 Southern 18.78
    3 Caucasus_Gedrosia 18.74
    4 Siberian 1.81
    5 Amerindian 1.36


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

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

    Least-squares method.

    Using 1 population approximation:
    1 Bulgarians_Yunusbayev @ 6.508024
    2 Bulgarian_Dodecad @ 7.717432
    3 Romanians_Behar @ 8.902560
    4 N_Italian_Dodecad @ 9.532443
    5 Hungarians_Behar @ 11.390197
    6 North_Italian_HGDP @ 11.425457
    7 Baleares_1000 Genomes @ 13.385691
    8 French_HGDP @ 13.403868
    9 French_Dodecad @ 14.370135
    10 Extremadura_1000 Genomes @ 14.840634
    11 Spaniards_Behar @ 15.063539
    12 Cataluna_1000 Genomes @ 15.072571
    13 Andalucia_1000 Genomes @ 15.240839
    14 Galicia_1000 Genomes @ 15.479660
    15 TSI30_Metspalu @ 15.657871
    16 Brazilian_Dodecad @ 15.806941
    17 Valencia_1000 Genomes @ 15.850965
    18 Portuguese_Dodecad @ 15.961607
    19 Castilla_La_Mancha_1000 Genomes @ 16.043055
    20 Spanish_Dodecad @ 16.273985

    Using 2 populations approximation:
    1 50% Greek_Dodecad +50% Belorussian_Behar @ 1.754920


    Using 3 populations approximation:
    1 50% Greek_Dodecad +25% Swedish_Dodecad +25% Russian_B_Behar @ 1.203837
    Admix Results (sorted):

    # Population Percent
    1 Atlantic_Baltic 58.18
    2 Southern 20.10
    3 Caucasus_Gedrosia 19.37
    4 Siberian 1.20


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

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

    Least-squares method.

    Using 1 population approximation:
    1 Bulgarians_Yunusbayev @ 4.946407
    2 Bulgarian_Dodecad @ 6.215910
    3 Romanians_Behar @ 7.795264
    4 N_Italian_Dodecad @ 8.399075
    5 North_Italian_HGDP @ 10.336426
    6 Hungarians_Behar @ 12.708263
    7 Baleares_1000 Genomes @ 12.938385
    8 TSI30_Metspalu @ 14.135420
    9 French_HGDP @ 14.292825
    10 Extremadura_1000 Genomes @ 14.607108
    11 Andalucia_1000 Genomes @ 14.883078
    12 Tuscan_HGDP @ 14.902988
    13 Spaniards_Behar @ 14.995751
    14 French_Dodecad @ 15.171965
    15 Cataluna_1000 Genomes @ 15.268453
    16 Galicia_1000 Genomes @ 15.305419
    17 Portuguese_Dodecad @ 15.731166
    18 Brazilian_Dodecad @ 15.878017
    19 Valencia_1000 Genomes @ 15.878306
    20 Castilla_La_Mancha_1000 Genomes @ 15.911174

    Using 2 populations approximation:
    1 50% Polish_Dodecad +50% Greek_Dodecad @ 0.800547


    Using 3 populations approximation:
    1 50% Greek_Dodecad +25% Russian_B_Behar +25% Argyll_1000 Genomes @ 0.707081

  5. #355
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  6. #356
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    World9 Oracle results:
    Kit .

    Admix Results (sorted):

    # Population Percent
    1 Atlantic_Baltic 69.39
    2 Caucasus_Gedrosia 14.53
    3 Southern 14.16
    4 Siberian 1.46
    5 Australasian 0.47

    Single Population Sharing:

    # Population (source) Distance
    1 Hungarians (Behar) 1.27
    2 Mixed_Germanic (Dodecad) 4.84
    3 French (HGDP) 5.47
    4 Dutch (Dodecad) 5.5
    5 German (Dodecad) 6.06
    6 CEU30 (1000Genomes) 6.81
    7 French (Dodecad) 6.93
    8 Cornwall (1000 Genomes) 7.15
    9 Kent (1000 Genomes) 7.19
    10 British (Dodecad) 7.34
    11 Ukranians (Yunusbayev) 7.56
    12 British_Isles (Dodecad) 8.34
    13 Argyll (1000 Genomes) 8.64
    14 Irish (Dodecad) 9
    15 Orcadian (HGDP) 9.29
    16 Orkney (1000 Genomes) 9.68
    17 Polish (Dodecad) 10.11
    18 Belorussian (Behar) 11.82
    19 Russian_B (Behar) 12.35
    20 Russian (Dodecad) 12.54

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 80.9% Norwegian (Dodecad) + 19.1% Cypriots (Behar) @ 0.45
    2 56.1% Norwegian (Dodecad) + 43.9% Bulgarians (Yunusbayev) @ 0.56
    3 72.4% Norwegian (Dodecad) + 27.6% Greek (Dodecad) @ 0.61
    4 58.5% Belorussian (Behar) + 41.5% N_Italian (Dodecad) @ 0.7
    5 57.8% Norwegian (Dodecad) + 42.2% Bulgarian (Dodecad) @ 0.7
    6 56.8% Lithuanians + 43.2% TSI30 (Metspalu) @ 0.75
    7 70.7% Polish (Dodecad) + 29.3% TSI30 (Metspalu) @ 0.81
    8 83.2% Hungarians (Behar) + 16.8% Mixed_Germanic (Dodecad) @ 0.83
    9 71.9% Swedish (Dodecad) + 28.1% Greek (Dodecad) @ 0.83
    10 57.6% Lithuanians + 42.4% Tuscan (HGDP) @ 0.85
    11 88.4% Hungarians (Behar) + 11.6% Kent (1000 Genomes) @ 0.86
    12 71.4% Polish (Dodecad) + 28.6% Tuscan (HGDP) @ 0.87
    13 88.4% Hungarians (Behar) + 11.6% Cornwall (1000 Genomes) @ 0.87
    14 88.8% Hungarians (Behar) + 11.2% British (Dodecad) @ 0.88
    15 83.3% Norwegian (Dodecad) + 16.7% Druze (HGDP) @ 0.9
    16 90.2% Hungarians (Behar) + 9.8% British_Isles (Dodecad) @ 0.9
    17 86% Hungarians (Behar) + 14% Dutch (Dodecad) @ 0.92
    18 56.9% Lithuanian (Dodecad) + 43.1% TSI30 (Metspalu) @ 0.92
    19 87.3% Hungarians (Behar) + 12.7% German (Dodecad) @ 0.92
    20 74.5% Swedish (Dodecad) + 25.5% S_Italian_Sicilian (Dodecad) @ 0.93

    Using 3 populations approximation:
    1 50% Norwegian_Dodecad +25% S_Italian_Sicilian_Dodecad +25% Belorussian_Behar @ 0.728410


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++
    1 Norwegian_Dodecad + Mixed_Germanic_Dodecad + Hungarians_Behar + Bulgarians_Yunusbayev @ 0.324900
    2 Norwegian_Dodecad + N_Italian_Dodecad + Lithuanians + Bulgarians_Yunusbayev @ 0.390551
    3 C_Italian_Dodecad + Norwegian_Dodecad + Hungarians_Behar + Lithuanians @ 0.397487
    4 Norwegian_Dodecad + Dutch_Dodecad + Hungarians_Behar + Bulgarians_Yunusbayev @ 0.479285
    5 Swedish_Dodecad + N_Italian_Dodecad + Lithuanians + Bulgarians_Yunusbayev @ 0.490767
    6 Norwegian_Dodecad + Bulgarian_Dodecad + French_HGDP + Ukranians_Yunusbayev @ 0.506629
    7 N_Italian_Dodecad + Hungarians_Behar + Hungarians_Behar + Lithuanians @ 0.512277
    8 C_Italian_Dodecad + Norwegian_Dodecad + Lithuanian_Dodecad + Hungarians_Behar @ 0.531012
    9 Norwegian_Dodecad + Bulgarian_Dodecad + Hungarians_Behar + Kent_1000 Genomes @ 0.531325
    10 Polish_Dodecad + Greek_Dodecad + Norwegian_Dodecad + Norwegian_Dodecad @ 0.540977
    11 German_Dodecad + Norwegian_Dodecad + Hungarians_Behar + Bulgarians_Yunusbayev @ 0.541338
    12 French_Dodecad + Hungarians_Behar + Lithuanians + Bulgarians_Yunusbayev @ 0.554541
    13 French_HGDP + Hungarians_Behar + Lithuanians + Bulgarians_Yunusbayev @ 0.572780
    14 Norwegian_Dodecad + Dutch_Dodecad + Bulgarian_Dodecad + Hungarians_Behar @ 0.574420
    15 German_Dodecad + Norwegian_Dodecad + Bulgarian_Dodecad + Hungarians_Behar @ 0.590170
    16 Norwegian_Dodecad + TSI30_Metspalu + Belorussian_Behar + Hungarians_Behar @ 0.606974
    17 Greek_Dodecad + Norwegian_Dodecad + Norwegian_Dodecad + Argyll_1000 Genomes @ 0.612377
    18 Swedish_Dodecad + TSI30_Metspalu + Belorussian_Behar + Hungarians_Behar @ 0.629090
    19 Norwegian_Dodecad + French_HGDP + Bulgarians_Yunusbayev + Ukranians_Yunusbayev @ 0.632427
    20 Swedish_Dodecad + Lithuanian_Dodecad + N_Italian_Dodecad + Bulgarians_Yunusbayev @ 0.648338

  7. #357
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    Admix Results (sorted):

    # Population Percent
    1 Atlantic_Baltic 58.97
    2 Caucasus_Gedrosia 20.08
    3 Southern 17.54
    4 East_Asian 1.71
    5 Siberian 1.09
    6 African 0.61

    Single Population Sharing:

    # Population (source) Distance
    1 Bulgarians (Yunusbayev) 6.94
    2 Bulgarian (Dodecad) 7.9
    3 Romanians (Behar) 8.6
    4 Hungarians (Behar) 9.81
    5 N_Italian (Dodecad) 10.46
    6 French (HGDP) 12.16
    7 North_Italian (HGDP) 12.25
    8 French (Dodecad) 13.17
    9 Baleares (1000 Genomes) 13.74
    10 Cataluna (1000 Genomes) 14.66
    11 Extremadura (1000 Genomes) 14.94
    12 Spaniards (Behar) 14.95
    13 Mixed_Germanic (Dodecad) 15.29
    14 Andalucia (1000 Genomes) 15.42
    15 Galicia (1000 Genomes) 15.45
    16 Valencia (1000 Genomes) 15.55
    17 TSI30 (Metspalu) 15.89
    18 Spanish (Dodecad) 15.93
    19 Portuguese (Dodecad) 15.93
    20 Castilla_La_Mancha (1000 Genomes) 15.95

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 69.6% British (Dodecad) + 30.4% Turkish (Dodecad) @ 1.33
    2 70.3% CEU30 (1000Genomes) + 29.7% Turkish (Dodecad) @ 1.35
    3 71.2% German (Dodecad) + 28.8% Turkish (Dodecad) @ 1.36
    4 74.3% Mixed_Germanic (Dodecad) + 25.7% Turks (Behar) @ 1.36
    5 69.8% Kent (1000 Genomes) + 30.2% Turkish (Dodecad) @ 1.37
    6 68.4% British_Isles (Dodecad) + 31.6% Turkish (Dodecad) @ 1.4
    7 71.9% Dutch (Dodecad) + 28.1% Turkish (Dodecad) @ 1.42
    8 71.5% Cornwall (1000 Genomes) + 28.5% Turks (Behar) @ 1.44
    9 72.8% Mixed_Germanic (Dodecad) + 27.2% Turkish (Dodecad) @ 1.44
    10 71.4% Kent (1000 Genomes) + 28.6% Turks (Behar) @ 1.45
    11 69.9% Cornwall (1000 Genomes) + 30.1% Turkish (Dodecad) @ 1.47
    12 80.8% Hungarians (Behar) + 19.2% Turkish (Dodecad) @ 1.48
    13 67% Orkney (1000 Genomes) + 33% Turkish (Dodecad) @ 1.48
    14 71.2% British (Dodecad) + 28.8% Turks (Behar) @ 1.51
    15 70.3% Norwegian (Dodecad) + 29.7% Georgia_Jews (Behar) @ 1.51
    16 67.5% Orcadian (HGDP) + 32.5% Turkish (Dodecad) @ 1.52
    17 67.8% Bulgarian (Dodecad) + 32.2% Ukranians (Yunusbayev) @ 1.58
    18 67.8% Irish (Dodecad) + 32.2% Turkish (Dodecad) @ 1.6
    19 73.2% Polish (Dodecad) + 26.8% Druze (HGDP) @ 1.62
    20 74.6% Belorussian (Behar) + 25.4% Samaritians (Behar) @ 1.62

    Using 2 populations approximation:
    1 50% Ashkenazy_Jews +50% Lithuanians @ 2.373176

    Using 3 populations approximation:
    1 50% CEU30_1000Genomes +25% Spaniards_Behar +25% Balkars_Yunusbayev @ 1.054722

    Using 4 populations approximation:
    1 Orcadian_HGDP + Kent_1000 Genomes + Andalucia_1000 Genomes + Balkars_Yunusbayev @ 1.054625

  8. #358
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    Rædwald's Avatar
    Join Date
    Mar 2014
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    Location
    Vínland, Miðgarðr
    Meta-Ethnicity
    Celto-Germanic
    Ethnicity
    North-West European, minor North-Amerindian
    Ancestry
    British Isles (77%) Scandinavia (10%) France (9%) North-Amerindian (4%)
    Country
    Canada
    Y-DNA
    I-L233
    mtDNA
    X2b4
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    Keltic Nordid / Atlantid
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    Conservative
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    North-Sea Aesthetic
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    In a relationship
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    Default

    Population nMonte



    Code:
    nMonte Calculator by www.dnagenics.com
    v1.1  04/02/2020
    
    Finished reading population data. 250 populations found.
    9 components mode.
    
    Distance: 2.47
    
    37.00% CEU30
    28.80% French_D
    24.20% Mixed_Germanic_D
    04.40% Aleut
    04.40% AthabaskHD4
    00.80% Malayan_Ch
    00.40% Cornwall_1KG
    Doedcad World 9 Oracle



    Mixed Mode:

    Code:
    1 95.70% Mixed_Germanic_D + 4.30% Athabask @ 2.278
    2 94.92% Mixed_Germanic_D + 5.08% EastGreenland @ 2.367
    3 94.14% Mixed_Germanic_D + 5.86% WestGreenland @ 2.386
    4 90.23% Mixed_Germanic_D + 9.77% CLM30 @ 2.444
    5 93.36% Mixed_Germanic_D + 6.64% MEX30 @ 2.481
    6 92.58% Mixed_Germanic_D + 7.42% Colombian @ 2.494
    7 72.27% Argyll_1KG + 27.73% Brazilian_D @ 2.505
    8 94.14% Mixed_Germanic_D + 5.86% Ecuadorian @ 2.533
    9 89.45% Mixed_Germanic_D + 10.55% AthabaskHD4 @ 2.551
    10 87.89% CEU30 + 12.11% CLM30 @ 2.610
    Least-squares method.

    Using 1 populations approximation

    Code:
    1 100% Mixed_Germanic_D  @ 4.792
    2 100% Dutch_D  @ 5.509
    3 100% German_D  @ 5.901
    4 100% CEU30  @ 5.909
    5 100% Hungarians  @ 6.068
    6 100% Cornwall_1KG  @ 6.132
    7 100% French  @ 6.188
    8 100% Kent_1KG  @ 6.300
    9 100% British_D  @ 6.375
    10 100% French_D  @ 6.965
    Using 2 populations approximation

    Code:
    1 50% Russian_B + 50% Cataluna_1KG  @ 2.727
    2 50% Russian_D + 50% Cataluna_1KG  @ 2.869
    3 50% Russian_B + 50% Valencia_1KG  @ 3.182
    4 50% Russian_B + 50% Spanish_D  @ 3.192
    5 50% Russian_B + 50% Cantabria_1KG  @ 3.255
    6 50% Russian_D + 50% Cantabria_1KG  @ 3.279
    7 50% Russian_D + 50% Valencia_1KG  @ 3.328
    8 50% Russian_D + 50% Spanish_D  @ 3.344
    9 50% Russian_B + 50% Aragon_1KG  @ 3.406
    10 50% Russian_B + 50% Spaniards  @ 3.442
    Using 3 populations approximation

    Code:
    1 33% Orkney_1KG + 33% Polish_D + 33% Brazilian_D  @ 2.627
    2 33% Polish_D + 33% Norwegian_D + 33% Brazilian_D  @ 2.705
    3 33% Polish_D + 33% Polish_D + 33% Brazilian_D  @ 2.825
    4 33% Swedish_D + 33% Russian_D + 33% Murcia_1KG  @ 2.825
    5 33% Russian_B + 33% Swedish_D + 33% Murcia_1KG  @ 2.826
    6 33% French_D + 33% French_D + 33% Russian  @ 2.849
    7 33% French_D + 33% French_D + 33% Russian_D  @ 2.916
    8 33% Belorussian + 33% Norwegian_D + 33% Brazilian_D  @ 2.955
    9 33% Argyll_1KG + 33% Argyll_1KG + 33% Brazilian_D  @ 2.957
    10 33% Russian_B + 33% Swedish_D + 33% Canarias_1KG  @ 2.977
    Using 4 populations approximation

    Code:
    1 25% Orkney_1KG + 25% Orkney_1KG + 25% Ukranians_Y + 25% Brazilian_D  @ 2.430
    2 25% Orcadian + 25% Orcadian + 25% Ukranians_Y + 25% Brazilian_D  @ 2.504
    3 25% Argyll_1KG + 25% Argyll_1KG + 25% Argyll_1KG + 25% Brazilian_D  @ 2.622
    4 25% Argyll_1KG + 25% Argyll_1KG + 25% Irish_D + 25% Brazilian_D  @ 2.648
    5 25% Lithuanian_D + 25% Lithuanian_D + 25% Andalucia_1KG + 25% Brazilian_D  @ 2.657
    6 25% Argyll_1KG + 25% Argyll_1KG + 25% Orcadian + 25% Brazilian_D  @ 2.664
    7 25% British_Isles_D + 25% British_Isles_D + 25% Argyll_1KG + 25% Brazilian_D  @ 2.665
    8 25% Cataluna_1KG + 25% Cataluna_1KG + 25% Mordovians_Y + 25% Lithuanian_D  @ 2.743
    9 25% Irish_D + 25% Irish_D + 25% Irish_D + 25% Brazilian_D  @ 2.781
    10 25% British_Isles_D + 25% British_Isles_D + 25% Irish_D + 25% Brazilian_D  @ 2.803
    I have no idea why I get Brazilian here?
    Anglo Saxon + Frank (4.336)
    Viking Danish + Frank (4.338)
    Gael + Frank (4.39)
    Anglo Saxon (4.393)
    Viking Danish + Anglo Saxon (4.568)

  9. #359
    Member Hawkguy's Avatar
    Join Date
    Jul 2019
    Last Online
    01-12-2023 @ 11:19 PM
    Ethnicity
    Brazilian
    Country
    Brazil
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    244
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    Default

    Admix Results (sorted):

    # Population Percent
    1 Atlantic_Baltic 45.14
    2 Southern 22.29
    3 African 16.51
    4 Amerindian 8.37
    5 Caucasus_Gedrosia 6.34
    6 East_Asian 0.99
    7 Siberian 0.21
    8 Australasian 0.15

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

    Least-squares method.

    Using 1 population approximation:
    1 PUR30 @ 5.535602
    2 Puerto_Rican @ 11.980068
    3 Brazilian_Dodecad @ 15.003835
    4 CLM30 @ 20.348623
    5 Canarias_1000 Genomes @ 21.022991
    6 Murcia_1000 Genomes @ 22.887066
    7 Portuguese_Dodecad @ 23.760139
    8 Extremadura_1000 Genomes @ 23.782707
    9 North_Italian_HGDP @ 24.107494
    10 N_Italian_Dodecad @ 24.203098
    11 Andalucia_1000 Genomes @ 24.362411
    12 TSI30_Metspalu @ 24.378046
    13 Tuscan_HGDP @ 24.505917
    14 Baleares_1000 Genomes @ 24.569712
    15 Galicia_1000 Genomes @ 24.706381
    16 Romanians_Behar @ 24.743620
    17 O_Italian_Dodecad @ 24.865871
    18 Bulgarian_Dodecad @ 25.247267
    19 Bulgarians_Yunusbayev @ 25.311832
    20 Castilla_La_Mancha_1000 Genomes @ 25.512314

    Using 2 populations approximation:
    1 50% Brazilian_Dodecad +50% Puerto_Rican @ 3.535990


    Using 3 populations approximation:
    1 50% Brazilian_Dodecad +25% Dominican +25% PUR30 @ 1.560489

    Using 4 populations approximation:
    1 Brazilian_Dodecad + Brazilian_Dodecad + Dominican + PUR30 @ 1.560489
    2 Dominican + PUR30 + PUR30 + Baleares_1000 Genomes @ 1.683092
    3 Spaniards_Behar + Dominican + PUR30 + PUR30 @ 1.721633
    4 Brazilian_Dodecad + Somali_Dodecad + Lithuanians + CLM30 @ 1.741145
    5 Brazilian_Dodecad + Dominican + Puerto_Rican + Baleares_1000 Genomes @ 1.776220
    6 Somali_Dodecad + Lithuanians + Colombian + Extremadura_1000 Genomes @ 1.779786
    7 Dominican + PUR30 + PUR30 + Valencia_1000 Genomes @ 1.806276
    8 Portuguese_Dodecad + Somali_Dodecad + Lithuanians + Colombian @ 1.846155
    9 Somali_Dodecad + Lithuanians + Colombian + Andalucia_1000 Genomes @ 1.870806
    10 Somali_Dodecad + Lithuanians + Colombian + Baleares_1000 Genomes @ 1.877964
    11 Dominican + PUR30 + PUR30 + Cataluna_1000 Genomes @ 1.879377
    12 Dominican + PUR30 + PUR30 + Castilla_La_Mancha_1000 Genomes @ 1.880733
    13 Spanish_Dodecad + Dominican + PUR30 + PUR30 @ 1.881927
    14 Dominican + PUR30 + PUR30 + Andalucia_1000 Genomes @ 1.883903
    15 Brazilian_Dodecad + North_Italian_HGDP + Dominican + Puerto_Rican @ 1.897927
    16 Somali_Dodecad + Lithuanians + Spaniards_Behar + Colombian @ 1.901094
    17 Brazilian_Dodecad + Somali_Dodecad + Lithuanian_Dodecad + CLM30 @ 1.910395
    18 Somali_Dodecad + French_HGDP + Orcadian_HGDP + Colombian @ 1.912547
    19 Somali_Dodecad + Lithuanians + Colombian + Galicia_1000 Genomes @ 1.930629
    20 Irish_Dodecad + Somali_Dodecad + French_HGDP + Colombian @ 1.938016

  10. #360
    Veteran Member
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    Location
    Côte d'Azur
    Ethnicity
    Solutrean
    Country
    Monaco
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    Lyon
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    R1b-Z367
    mtDNA
    H1c1
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    Default

    Admix Results (sorted):

    # Population Percent
    1 Atlantic_Baltic 72.42
    2 Southern 17.03
    3 Caucasus_Gedrosia 10.37
    4 Siberian 0.18

    Single Population Sharing:

    # Population (source) Distance
    1 French (HGDP) 3.07
    2 French (Dodecad) 3.51
    3 Mixed_Germanic (Dodecad) 4.31
    4 Dutch (Dodecad) 5.65
    5 Cornwall (1000 Genomes) 5.66
    6 Kent (1000 Genomes) 5.88
    7 German (Dodecad) 6.06
    8 CEU30 (1000Genomes) 6.17
    9 British (Dodecad) 6.2
    10 Hungarians (Behar) 6.44
    11 British_Isles (Dodecad) 6.91
    12 Irish (Dodecad) 8.41
    13 Orcadian (HGDP) 8.47
    14 Orkney (1000 Genomes) 8.66
    15 Argyll (1000 Genomes) 8.68
    16 Cataluna (1000 Genomes) 10.28
    17 Ukranians (Yunusbayev) 10.63
    18 Polish (Dodecad) 11.1
    19 Pais_Vasco (1000 Genomes) 11.23
    20 Cantabria (1000 Genomes) 11.51

    Using 2 populations approximation:
    1 50% French +50% Mixed_Germanic @ 1.280946

    Using 3 populations approximation:
    1 50% Mixed_Germanic +25% Mixed_Germanic +25% Cantabria @ 0.936057

    Using 4 populations approximation:
    1 Mixed_Germanic + French_Basque + North_Italian + Lithuanians @ 0.832278

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