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Thread: BR1 Hungary

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    BR1 Hungary

    gedmatch kit HZ6868325

    mdlp k23b oracle
    Capture.PNG

    eurogenes k15 oracle
    Capture0.PNG

    Why does this sample get so different results on these oracles? is one of them completely wrong?

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    3 out of 3 members found this post helpful.
    This sample gets different results on these oracles because they're two different amateur tools made by two different people. It is difficult to say which is the most accurate, also because the first results all come out at great distances.

    But you can see a pattern in these results. The sample is always modeled as a two-way mix of a population with a high percentage of Nordic component and a second population richer in EEF.


    BR1 Hungary Mako Culture 2100 BC Hungary, Bronze Age Kyjatice Culture

    Kit Num: HZ6868325
    Threshold of components set to 1.000
    Threshold of method set to 0.25%
    Personal data has been read. 20 approximations mode.
    Gedmatch.Com

    HarappaWorld 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.

    23 April 2013 - Oracle reference population percentages revised.

    Admix Results (sorted):

    # Population Percent
    1 NE-Euro 53.03
    2 Mediterranean 31.65
    3 Caucasian 7.61
    4 SW-Asian 3.59
    5 SE-Asian 1.52
    6 Baloch 1.08


    Finished reading population data. 377 populations found.
    16 components mode.

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

    Least-squares method.

    Using 1 population approximation:
    1 n-european_xing @ 8.512391
    2 utahn-white_hapmap @ 9.895613
    3 utahn-white_1000genomes @ 10.422997
    4 british_1000genomes @ 11.737121
    5 hungarian_behar @ 12.737114
    6 slovenian_xing @ 12.779364
    7 orcadian_hgdp @ 13.269800
    8 french_hgdp @ 14.282228
    9 ukranian_yunusbayev @ 17.047060
    10 belorussian_behar @ 20.150099
    11 serbian_harappa @ 22.569973
    12 russian_behar @ 22.594582
    13 mordovian_yunusbayev @ 23.296509
    14 russian_hgdp @ 24.715195
    15 spaniard_behar @ 25.474293
    16 lithuanian_behar @ 25.897470
    17 spaniard_1000genomes @ 26.280447
    18 romanian-a_behar @ 26.707809
    19 bulgarian_yunusbayev @ 28.883734
    20 italian_hgdp @ 28.930794

    Using 2 populations approximation:
    1 50% lithuanian_behar +50% spaniard_1000genomes @ 6.038862


    Using 3 populations approximation:
    1 50% finnish_1000genomes +25% sardinian_hgdp +25% spain-basc_henn2012 @ 4.388278


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++
    1 finnish_1000genomes + finnish_1000genomes + sardinian_hgdp + spain-basc_henn2012 @ 4.388278
    2 basque_hgdp + finnish_1000genomes + finnish_1000genomes + sardinian_hgdp @ 4.403300
    3 finnish_1000genomes + french_hgdp + lithuanian_behar + sardinian_hgdp @ 4.882987
    4 basque_hgdp + finnish_1000genomes + russian_behar + spaniard_1000genomes @ 4.997023
    5 basque_hgdp + finnish_1000genomes + russian_behar + spaniard_behar @ 5.084397
    6 basque_hgdp + belorussian_behar + finnish_1000genomes + spaniard_1000genomes @ 5.132265
    7 basque_hgdp + belorussian_behar + finnish_1000genomes + spaniard_behar @ 5.166114
    8 finnish_1000genomes + russian_behar + spain-basc_henn2012 + spaniard_1000genomes @ 5.168725
    9 belorussian_behar + british_1000genomes + finnish_1000genomes + sardinian_hgdp @ 5.214709
    10 belorussian_behar + finnish_1000genomes + spain-basc_henn2012 + spaniard_1000genomes @ 5.226560
    11 finnish_1000genomes + russian_behar + spain-basc_henn2012 + spaniard_behar @ 5.271591
    12 belorussian_behar + finnish_1000genomes + spain-basc_henn2012 + spaniard_behar @ 5.279031
    13 belorussian_behar + finnish_1000genomes + orcadian_hgdp + sardinian_hgdp @ 5.308244
    14 british_1000genomes + finnish_1000genomes + lithuanian_behar + sardinian_hgdp @ 5.319563
    15 finnish_1000genomes + lithuanian_behar + sardinian_hgdp + utahn-white_1000genomes @ 5.350371
    16 basque_hgdp + belorussian_behar + finnish_1000genomes + italian_hgdp @ 5.351189
    17 belorussian_behar + finnish_1000genomes + sardinian_hgdp + utahn-white_1000genomes @ 5.391708
    18 basque_hgdp + finnish_1000genomes + italian_hgdp + lithuanian_behar @ 5.420984
    19 lithuanian_behar + lithuanian_behar + n-european_xing + sardinian_hgdp @ 5.425259
    20 finnish_1000genomes + finnish_1000genomes + sardinian_hgdp + spaniard_1000genomes @ 5.456843

    Done.

    Elapsed time 6.2815 seconds.


    MDLP K16 Modern Oracle results:

    MDLP K16 2xOracle and OracleX4

    Kit HZ6868325

    Admix Results (sorted):

    # Population Percent
    1 NorthEastEuropean 41.23
    2 Neolithic 38.97
    3 Caucasian 11.54
    4 Steppe 5.2
    5 NearEast 1.66
    6 Oceanic 1.15
    7 Subsaharian 0.13
    8 EastAfrican 0.12

    Single Population Sharing:

    # Population (source) Distance
    1 Belarusian (Zhytkavichy_Homel) 20.99
    2 Sorb (Lusatia) 21.92
    3 Latvian (Latvia) 22.05
    4 Ukrainians_west (WestUkraine) 22.51
    5 Swede (Sweden) 22.65
    6 Latvian_Dobele (Dobele) 22.85
    7 Pole (WestPoland) 22.91
    8 Finn (WestFinland) 23.02
    9 Ukrainians_east (EastUkraine) 23.06
    10 Russian_cossack (Kuban) 23.07
    11 Estonian (Estonia) 23.08
    12 Slovak (Slovakia) 23.17
    13 Norwegian (Norwegia) 23.21
    14 German (NorthGermany) 23.24
    15 Welsh (Wales) 23.28
    16 Scottish (Borders) 23.28
    17 German (Germany) 23.31
    18 Lithuanian (Lithuania) 23.32
    19 Czech (Czechia) 23.48
    20 Icelandic (Iceland) 23.5

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 69.2% Latvian (Latvia) + 30.8% Sardinian (Sardinia) @ 17.05
    2 67.8% Latvian_Dobele (Dobele) + 32.2% Sardinian (Sardinia) @ 17.37
    3 67.5% Estonian (Estonia) + 32.5% Sardinian (Sardinia) @ 17.49
    4 64.9% Finn (Finland) + 35.1% Sardinian (Sardinia) @ 17.53
    5 67.4% Lithuanian (Lithuania) + 32.6% Sardinian (Sardinia) @ 17.88
    6 75.4% Belarusian (Zhytkavichy_Homel) + 24.6% Sardinian (Sardinia) @ 18.47
    7 62.4% Latvian_Cesis (Cesis) + 37.6% Sardinian (Sardinia) @ 18.56
    8 61.9% Russian (Russia) + 38.1% Sardinian (Sardinia) @ 19.02
    9 67.4% Ingrians (Ingermanland) + 32.6% Sardinian (Sardinia) @ 19.34
    10 64.9% Russians-West (WestRussian) + 35.1% Sardinian (Sardinia) @ 19.36
    11 66.5% Karelian (Karelia) + 33.5% Sardinian (Sardinia) @ 19.39
    12 68.6% Latvian (Latvia) + 31.4% Spanish (Pais_Vasco) @ 19.42
    13 64.9% Vepsa (Russia) + 35.1% Sardinian (Sardinia) @ 19.45
    14 74% Latvian (Latvia) + 26% Basque (Spain) @ 19.47
    15 70.9% Ukrainians_east (EastUkraine) + 29.1% Sardinian (Sardinia) @ 19.5
    16 71.4% Finn (WestFinland) + 28.6% Sardinian (Sardinia) @ 19.64
    17 79.9% Belarusian (Zhytkavichy_Homel) + 20.1% Basque (Spain) @ 19.66
    18 68.1% Finn (SouthFinland) + 31.9% Sardinian (Sardinia) @ 19.67
    19 69.9% Latvian (Latvia) + 30.1% French (SouthFrance) @ 19.7
    20 69% Belarusian (Belarus) + 31% Sardinian (Sardinia) @ 19.7


    Dodecad K12b 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 HZ6868325

    Admix Results (sorted):

    # Population Percent
    1 North_European 49.17
    2 Atlantic_Med 33.77
    3 Caucasus 9.39
    4 Southwest_Asian 4.93
    5 South_Asian 1.15
    6 East_African 0.78
    7 Sub_Saharan 0.61
    8 East_Asian 0.2
    9 Southeast_Asian 0.01

    Single Population Sharing:

    # Population (source) Distance
    1 German (Dodecad) 7.61
    2 Hungarians (Behar) 9.83
    3 Dutch (Dodecad) 12.38
    4 Mixed_Germanic (Dodecad) 12.79
    5 Swedish (Dodecad) 13.04
    6 Norwegian (Dodecad) 13.39
    7 CEU30 (1000Genomes) 14.66
    8 British_Isles (Dodecad) 14.72
    9 English (Dodecad) 14.82
    10 Kent (1000Genomes) 14.89
    11 Orkney (1000Genomes) 16.51
    12 French (Dodecad) 16.72
    13 British (Dodecad) 16.98
    14 Orcadian (HGDP) 17.01
    15 Argyll (1000Genomes) 17.06
    16 Irish (Dodecad) 17.11
    17 French (HGDP) 17.15
    18 Cornwall (1000Genomes) 17.25
    19 Polish (Dodecad) 18.02
    20 Ukranians (Yunusbayev) 21.22

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 63.8% Polish (Dodecad) + 36.2% Cantabria (1000Genomes) @ 3.79
    2 65% Polish (Dodecad) + 35% Castilla_La_Mancha (1000Genomes) @ 3.92
    3 65.3% Polish (Dodecad) + 34.7% Aragon (1000Genomes) @ 3.93
    4 64.4% Lithuanians (Behar) + 35.6% Sardinian (HGDP) @ 3.98
    5 51.6% Lithuanian (Dodecad) + 48.4% Cantabria (1000Genomes) @ 3.98
    6 52.9% Lithuanian (Dodecad) + 47.1% Castilla_La_Mancha (1000Genomes) @ 4.06
    7 63.6% Polish (Dodecad) + 36.4% Spanish (Dodecad) @ 4.15
    8 61.9% Polish (Dodecad) + 38.1% Cataluna (1000Genomes) @ 4.18
    9 53.3% Lithuanian (Dodecad) + 46.7% Aragon (1000Genomes) @ 4.19
    10 56.5% Belorussian (Behar) + 43.5% Cantabria (1000Genomes) @ 4.24
    11 65% Polish (Dodecad) + 35% Valencia (1000Genomes) @ 4.26
    12 63.5% Polish (Dodecad) + 36.5% Spaniards (Behar) @ 4.27
    13 53.4% Galicia (1000Genomes) + 46.6% Lithuanians (Behar) @ 4.27
    14 51.2% Lithuanian (Dodecad) + 48.8% Spaniards (Behar) @ 4.3
    15 66.6% Ukranians (Yunusbayev) + 33.4% Pais_Vasco (1000Genomes) @ 4.3
    16 50.6% Lithuanians (Behar) + 49.4% Castilla_La_Mancha (1000Genomes) @ 4.38
    17 58.1% Belorussian (Behar) + 41.9% Aragon (1000Genomes) @ 4.42
    18 51.3% Lithuanian (Dodecad) + 48.7% Spanish (Dodecad) @ 4.42
    19 50.5% Cataluna (1000Genomes) + 49.5% Lithuanian (Dodecad) @ 4.44
    20 51% Spaniards (Behar) + 49% Lithuanians (Behar) @ 4.44

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