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Thread: Eurogenes K36 Oracle: my results

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    Lightbulb Eurogenes K36 Oracle: my results

    Mlukas and me made an Oracle for K36, which includes Polish regional reference populations, and many European populations. Of course it is a "beta version" (we will add more populations later).

    Here are my (preliminary) results in this Oracle, when using Gaussian Method:

    36 components mode.
    Population data has been read. 156 populations found.
    Personal data has been read. 20 approximations mode.
    Person: Test1
    Threshold of components set to 0,25%

    Gaussian method.
    Noise dispersion set to 0,130062

    Using 1 population approximation:

    1 PL_Upper_Silesia @ 3,020955
    2 PL_Lesser_Poland @ 3,069551
    3 Polish_mean @ 3,15337
    4 PL_Mazovia_Podlachia @ 3,450262
    5 Czechs_Moravians @ 3,838687
    6 PL_Subcarpathia @ 3,853811
    7 Pl_Kashubians @ 3,859046

    8 Belarusian_Polesye @ 3,870832
    9 Belarusian_East @ 4,004563
    10 Russian_Smolensk @ 4,007749
    11 Slovak @ 4,157081
    12 Russian_Kursk @ 4,163922
    13 Ukrainian_East @ 4,281441
    14 Russian_Voronezh @ 4,385035
    15 Russian_Oryol @ 4,388567
    16 Russian_Bryansk @ 4,477297
    17 Slovenian @ 4,633957
    18 Ukrainian_West @ 4,690073
    19 Russian_Center @ 4,753604
    20 Russian_Tver @ 5,029004
    156 iterations.

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    Not only Polish but for the time being there are, besides what was in Verenich's datasheet with population averages (East Europe, Balkans, Caucasus, Siberia)

    PL_mean_90_sample
    PL_Podkarpacie
    PL_Mazovia_Podlasie
    PL_Malopolska
    PL_Gorny_Slask
    Pl_Kashubians
    Czechs_Moravians

    Sicily_Messina
    Sicily_Catania
    Sicily_Trapani
    Sicily_Ragusa
    Sicily_Agrigento
    Sicily_Palermo
    Sicily_Caltanisetta
    Sicily_Calabria

    GR_Peloponese2
    GR_Central
    GR_Epirus
    GR_Macedonia2
    GR_Ikaria
    Gr_Chios
    GR_Kythera
    Gr_Andros
    GR_Istanbul
    GR_Pontic
    GR_Crete
    Gr_Eubea
    GR_Cyclades
    Gr_Kalymnos

    Portugal
    Spain

    North_Italy
    IT_Veneto

    Albania_North
    Albania_South

    Austria
    France
    Holland
    Frisian

    Ireland
    Orcadian
    Scotland
    British_mixed
    Man_Isle
    England
    Wales

    North_Africa
    Egypt
    Syria_Liban
    Palestina
    Saudi
    Yemen
    Kurd
    Samaritan
    Assyrian
    Jordan
    Askhenazi

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    For example user Black Wolf father. He said here http://www.theapricity.com/forum/sho...=1#post1536404
    he is 50% Finn, 50% Italian, in next post he said of Calabrese origin. His results from oracle.

    Least-squares method.

    Using 2 populations approximation:
    1 Finnish_East+Gr_Andros @ 8,748289
    2 Finnish_Inkeri+Gr_Andros @ 8,992659
    3 Finnish_Inkeri+GR_Kythera @ 8,993358
    4 Finnish_Inkeri+Calabria @ 9,000913
    5 Finnish_East+GR_Kythera @ 9,011954
    6 Finnish_East+Calabria @ 9,065341

    Using 3 populations approximation:
    1 50% Calabria +25% Finnish_East +25% Finnish_SW @ 7,187579

    Using 4 populations approximation:
    1 Finnish_East+Finnish_SW+Gr_Andros+Gr_Kalymnos @ 6,971285
    2 Finnish_East+Finnish_SW+Calabria+Gr_Andros @ 7,045842
    --------------------

    Black Wolf is 50% Irish/British, 25% Finn, 25% Italian

    Using 3 populations approximation:
    1 50% Ireland +25% Finnish_East +25% GR_Epirus @ 5,605751

    Using 4 populations approximation:
    1 Finnish_East+GR_Epirus+Ireland+Ireland @ 5,605751
    2 Finnish_Inkeri+GR_Epirus+Ireland+Ireland @ 5,628528
    3 Finnish_SW+GR_Epirus+Ireland+Ireland @ 5,703166

    Epirus is proxy for some part of Italy maybe here. I have only samples from extreme north and Sicily and Calabria.

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    Some of my results in Multiple Populations Mixed Mode:

    Using 2 populations approximation:

    1 Slovak+PL_Mazovia_Podlachia @ 6,295684
    2 PL_Mazovia_Podlachia+Czechs_Moravians @ 6,326423
    (...)

    Using 3 populations approximation:

    1 50% Lithuanian +25% German_Austria +25% PL_Lesser_Poland @ 2,962798
    2 50% Lithuanian +25% PL_Lesser_Poland +25% British_mixed @ 2,969029
    3 50% Lithuanian +25% German_Austria +25% PL_Upper_Silesia @ 2,974781
    4 50% PL_Lesser_Poland +25% German_Austria +25% Lithuanian @ 2,988882
    5 50% PL_Upper_Silesia +25% German_Austria +25% Lithuanian @ 2,990262
    6 50% Lithuanian +25% PL_Lesser_Poland +25% Frisian_DK @ 2,997897
    (...)
    Last edited by Peterski; 04-09-2017 at 01:08 PM.

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    User 7eleven http://www.theapricity.com/forum/sho...=1#post1553503
    half German, half Askhenazi

    Least-squares method.

    Using 2 populations approximation:
    1 GR_Cyclades+Holland @ 9,260317
    2 Ashkenazi_Eastern_Euro+German_Austria @ 9,391583
    3 Ashkenazi_Eastern_Euro+German_Volga @ 9,414005


    Using 3 populations approximation:
    1 50% German_Austria +25% Ashkenazi_Eastern_Euro +25% GR_Central @ 8,8388

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    Quote Originally Posted by mlukas View Post
    User 7eleven http://www.theapricity.com/forum/sho...=1#post1553503
    half German, half Askhenazi

    Least-squares method.

    Using 2 populations approximation:
    1 GR_Cyclades+Holland @ 9,260317
    2 Ashkenazi_Eastern_Euro+German_Austria @ 9,391583
    3 Ashkenazi_Eastern_Euro+German_Volga @ 9,414005


    Using 3 populations approximation:
    1 50% German_Austria +25% Ashkenazi_Eastern_Euro +25% GR_Central @ 8,8388
    Amazing accuracy!

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    Davidski's results:

    http://bga101.blogspot.com.au/2013/0...-gedmatch.html

    With least-squares method (seems to be more accurate in his case):

    Using 1 population approximation:
    1 PL_Mazovia_Podlachia @ 7,436507
    2 Pl_Kashubians @ 7,538554
    3 Russian_Bryansk @ 8,537448
    4 Polish_mean @ 8,704522

    5 Belarusian_East @ 9,320142
    6 Belarusian_Polesye @ 9,471687
    7 Russian_Voronezh @ 10,156305
    8 Russian_Don_Cossack @ 10,566169
    9 Russian_Oryol @ 10,787786
    10 Russian_Smolensk @ 10,951148
    11 PL_Lesser_Poland @ 11,121274
    12 Russian_Kursk @ 11,144745
    13 PL_Upper_Silesia @ 11,288698
    14 Ukrainian_West @ 11,536164
    15 Russian_Center @ 11,71206
    16 PL_Subcarpathia @ 12,077631
    17 Ukrainian_East @ 12,241989
    18 Russian_Meshtchyora @ 13,141305
    19 Russian_Tver @ 13,292599
    20 Russian_Tambov @ 13,335326
    156 iterations.

    It seems that Davidski is very firmly a Northern Pole.

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    User sonfothedutch http://www.theapricity.com/forum/mem...-sonofthedutch
    75% Holland, 25% England

    Here we go:

    Gaussian method.
    Using 3 populations approximation:
    1 50% Holland +25% Holland +25% British_mixed @ 3,604184
    2 50% Holland +25% Holland +25% England @ 3,607853

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    Quote Originally Posted by mlukas View Post
    User sonfothedutch http://www.theapricity.com/forum/mem...-sonofthedutch
    75% Holland, 25% England

    Here we go:

    Gaussian method.
    Using 3 populations approximation:
    1 50% Holland +25% Holland +25% British_mixed @ 3,604184
    2 50% Holland +25% Holland +25% England @ 3,607853

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    Quite simialr pops for user wynot05 http://www.theapricity.com/forum/sho...=1#post2189101

    My main ancestry is Scottish and Irish, then English and Welsh. After that I also have a tiny bit German and Polish. What I wonder is what population do I match most? I tried the Oracles and each one gave me something different. The one that I think is right is 95.65% Irish. But I would think that I should also be close to Scottish too, but it says I'm not, so I don't kno

    Least-squares method.

    Using 1 population approximation:
    1 Ireland @ 7,877229
    2 Orcadian @ 8,173169
    3 Wales @ 10,706938
    4 British_mixed @ 10,745783
    5 Holland @ 11,580098
    6 England @ 11,724379
    7 Scotland @ 12,802568
    8 German_Austria @ 12,944404
    9 Sweden-1 @ 15,652843
    10 Man_Isle @ 16,98014


    Using 2 populations approximation:
    1 Ireland+Orcadian @ 7,384012
    2 Ireland+Ireland @ 7,877229
    3 Orcadian+Orcadian @ 8,173169
    4 Ireland+British_mixed @ 8,523099
    5 Ireland+Wales @ 8,703513
    6 Holland+Ireland @ 8,887456
    7 Ireland+England @ 9,03698
    8 German_Austria+Ireland @ 9,06634
    9 Orcadian+Wales @ 9,126816
    10 Orcadian+British_mixed @ 9,146198


    Using 3 populations approximation:
    1 50% Ireland +25% Orcadian +25% Orcadian @ 7,384012
    2 50% Ireland +25% Ireland +25% Orcadian @ 7,47072
    3 50% Orcadian +25% Ireland +25% Orcadian @ 7,628017
    4 50% Ireland +25% Orcadian +25% British_mixed @ 7,855737
    5 50% Ireland +25% Orcadian +25% Wales @ 7,955009
    6 50% Ireland +25% Ireland +25% British_mixed @ 7,957227
    7 50% Ireland +25% German_Austria +25% Orcadian @ 7,959034
    8 50% Ireland +25% Holland +25% Orcadian @ 7,984038
    9 50% Ireland +25% German_Austria +25% Ireland @ 7,998326
    10 50% Orcadian +25% Ireland +25% British_mixed @ 8,065902

    Using 4 populations approximation:
    1 Ireland+Ireland+Orcadian+Orcadian @ 7,384012
    2 Ireland+Ireland+Ireland+Orcadian @ 7,47072
    3 Ireland+Orcadian+Orcadian+Orcadian @ 7,628017
    4 Ireland+Ireland+Orcadian+British_mixed @ 7,855737
    5 Ireland+Ireland+Ireland+Ireland @ 7,877229
    6 Ireland+Ireland+Orcadian+Wales @ 7,955009
    7 Ireland+Ireland+Ireland+British_mixed @ 7,957227
    8 German_Austria+Ireland+Ireland+Orcadian @ 7,959034
    9 Holland+Ireland+Ireland+Orcadian @ 7,984038
    10 German_Austria+Ireland+Ireland+Ireland @ 7,998326

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