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Thread: Post your Eurogenes EUtest V2 K15 results

  1. #111
    canaan ariel's Avatar
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    Quote Originally Posted by Philo View Post
    Population
    East_Med 30.29%
    West_Asian 14.92%
    North_Sea 14.59%
    West_Med 14.42%
    Red_Sea 8.96%
    Atlantic 7.13%
    Baltic 3.49%
    Eastern_Euro 2.55%
    Northeast_African 1.12%
    Siberian 0.99%
    Southeast_Asian 0.77%
    Oceanian 0.65%
    Sub-Saharan 0.12%
    Amerindian -
    South_Asian -

    Oracle:
    Least-squares method.

    Using 1 population approximation:
    1 Ashkenazi @ 8.851
    2 Sephardic_Jewish @ 12.496
    3 Cyprian @ 16.588
    4 Greek @ 17.248
    5 Syrian @ 17.954
    6 Lebanese_Muslim @ 18.095
    7 Tuscan @ 18.636
    8 Jordanian @ 20.480
    9 Turkish @ 20.774
    10 Samaritan @ 21.470
    165 iterations.


    Using 2 populations approximation:
    1 50% Syrian +50% Tuscan @ 8.475
    2 50% Lebanese_Christian +50% North_Italian @ 8.771
    3 50% Lebanese_Christian +50% Spanish_Galicia @ 8.838
    4 50% Ashkenazi +50% Ashkenazi @ 8.851
    5 50% Jordanian +50% Tuscan @ 8.885
    6 50% Lebanese_Muslim +50% Tuscan @ 8.923
    7 50% French +50% Lebanese_Christian @ 8.940
    8 50% Lebanese_Christian +50% Tuscan @ 8.961
    9 50% Lebanese_Christian +50% Serbian @ 9.045
    10 50% Lebanese_Druze +50% Spanish_Galicia @ 9.081
    13695 iterations.

    Using 3 populations approximation:
    1 50% Lebanese_Christian +25% Ashkenazi +25% Orcadian @ 5.708
    2 50% Lebanese_Christian +25% Ashkenazi +25% Dutch @ 5.772
    3 50% Cyprian +25% Norwegian +25% Samaritan @ 5.780
    4 50% Lebanese_Christian +25% Ashkenazi +25% Norwegian @ 5.793
    5 50% Samaritan +25% Cyprian +25% Norwegian @ 5.843
    6 50% Cyprian +25% Orcadian +25% Samaritan @ 5.867
    7 50% Lebanese_Christian +25% Ashkenazi +25% Southwest_English @ 5.886
    8 50% Samaritan +25% Cyprian +25% Orcadian @ 5.891
    9 50% Cyprian +25% Samaritan +25% Swedish @ 5.982
    10 50% Cyprian +25% Lebanese_Christian +25% Norwegian @ 5.988
    546889 iterations.

    Using 4 populations approximation:
    1 Ashkenazi + Lebanese_Christian + Lebanese_Christian + Orcadian @ 5.708
    2 Ashkenazi + Lebanese_Christian + Orcadian + Samaritan @ 5.772
    3 Ashkenazi + Dutch + Lebanese_Christian + Lebanese_Christian @ 5.772
    4 Cyprian + Cyprian + Norwegian + Samaritan @ 5.780
    5 Ashkenazi + Lebanese_Christian + Lebanese_Christian + Norwegian @ 5.793
    6 Cyprian + Orcadian + Samaritan + Syrian @ 5.810
    7 Cyprian + Norwegian + Samaritan + Syrian @ 5.812
    8 Cyprian + Norwegian + Samaritan + Samaritan @ 5.843
    9 Ashkenazi + Dutch + Lebanese_Christian + Samaritan @ 5.849
    10 Ashkenazi + Lebanese_Christian + Norwegian + Samaritan @ 5.851
    11 Cyprian + Cyprian + Orcadian + Samaritan @ 5.867
    12 Ashkenazi + Lebanese_Christian + Lebanese_Christian + Southwest_English @ 5.886
    13 Cyprian + Orcadian + Samaritan + Samaritan @ 5.891
    14 Cyprian + Cyprian + Samaritan + Swedish @ 5.982
    15 Cyprian + Cyprian + Lebanese_Christian + Norwegian @ 5.988
    16 Cyprian + Lebanese_Christian + Orcadian + Syrian @ 6.005
    17 Cyprian + Lebanese_Christian + Norwegian + Syrian @ 6.010
    18 Ashkenazi + Lebanese_Christian + Samaritan + Southwest_English @ 6.018
    19 Cyprian + Lebanese_Christian + Norwegian + Samaritan @ 6.026
    20 Cyprian + Lebanese_Muslim + Norwegian + Samaritan @ 6.029

    1785295 iterations.


    Quite an interesting oracle. Southern Italian/Sicilian was nowhere to be found and Lebanese Christian popped everywhere. Perhaps ariel/aa100 was right after all.
    Is "Red Sea" just a replacement of the traditional Southwest Asian component?
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  2. #112
    Durka durka, Mohammad Jihad Philo's Avatar
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    Quote Originally Posted by orangepulp View Post
    Philo, you are mixed. Where are you exactly from?
    Jew.

    Quote Originally Posted by Mark View Post
    Mine:

    East_Med - 29.10%
    Atlantic - 14.92%
    West_Med - 12.85%
    West_Asian - 11.82%
    --------------------------------
    Red_Sea - 9.21%
    North_Sea - 8.69%
    Baltic - 7.40%
    Eastern_Euro - 3.32%
    Northeast_African - 1.39%

    --------------------------------
    Siberian - 0.77%
    Sub-Saharan - 0.45%
    Oceanian - 0.08%

    --------------------------------
    South_Asian -
    Southeast_Asian -
    Amerindian -

    --------------------------------
    That's very interesting that you diverge so much from my results, considering we're from the same ethnic group. .
    Quote Originally Posted by ZnZn View Post
    On the left, the Middle-East 4000 years ago; On the right, Spain 3000 years ago:
    Arab peace-loving:
    Quote Originally Posted by Gilgamesh900 View Post
    *sigh* The biggest mistake/tragedy that the Spaniards and the Portuguese have ever done was propagating with native Indian and Black women creating useless biracial and triracials in the Americas.

    Ask Philo anything you'd like barring obvious troll questions

  3. #113
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    Admix Results (sorted):

    # Population Percent
    1 Atlantic 27.27
    2 North_Sea 21.89
    3 East_Med 13.74
    4 West_Med 13.21
    5 West_Asian 11.33
    6 Baltic 6.45
    7 Eastern_Euro 3.27
    8 Red_Sea 2.86


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

    Least-squares method.

    Using 1 population approximation:
    1 North_Italian @ 11.432
    2 Spanish_Cataluna @ 12.179
    3 French @ 12.417
    4 Spanish_Murcia @ 12.550
    5 Spanish_Extremadura @ 12.700
    6 Spanish_Castilla_Y_Leon @ 12.862
    7 Portuguese @ 12.879
    8 Spanish_Galicia @ 13.807
    9 Tuscan @ 14.414
    10 Spanish_Valencia @ 14.427
    165 iterations.



    Using 2 populations approximation:
    1 50% Southeast_English +50% Tuscan @ 7.105
    2 50% Southwest_English +50% Tuscan @ 7.438
    3 50% Irish +50% Tuscan @ 7.448
    4 50% French +50% Tuscan @ 7.588
    5 50% German +50% Tuscan @ 7.630
    6 50% Irish +50% Sephardic_Jewish @ 7.750
    7 50% Tuscan +50% West_Scottish @ 7.805
    8 50% Sephardic_Jewish +50% West_Scottish @ 7.907
    9 50% Danish +50% Tuscan @ 7.994
    10 50% Sephardic_Jewish +50% Southeast_English @ 8.243
    13695 iterations.



    Using 3 populations approximation:
    1 50% Southeast_English +25% Assyrian +25% French_Basque @ 3.719
    2 50% Southwest_English +25% Assyrian +25% French_Basque @ 3.751
    3 50% Spanish_Aragon +25% Armenian +25% West_Scottish @ 4.184
    4 50% Southeast_English +25% Armenian +25% French_Basque @ 4.261
    5 50% Spanish_Aragon +25% Armenian +25% Irish @ 4.267
    6 50% Spanish_Aragon +25% Armenian +25% Orcadian @ 4.333
    7 50% Irish +25% Assyrian +25% French_Basque @ 4.381
    8 50% Southeast_English +25% Assyrian +25% Spanish_Aragon @ 4.448
    9 50% Southwest_English +25% Armenian +25% French_Basque @ 4.479
    10 50% Southwest_English +25% Assyrian +25% Spanish_Aragon @ 4.516
    543869 iterations.

  4. #114
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    Admix Results (sorted):

    # Population Percent
    1 Atlantic 27.27
    2 North_Sea 21.89
    3 East_Med 13.74
    4 West_Med 13.21
    5 West_Asian 11.33
    6 Baltic 6.45
    7 Eastern_Euro 3.27
    8 Red_Sea 2.86


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

    Least-squares method.

    Using 1 population approximation:
    1 North_Italian @ 11.432
    2 Spanish_Cataluna @ 12.179
    3 French @ 12.417
    4 Spanish_Murcia @ 12.550
    5 Spanish_Extremadura @ 12.700
    6 Spanish_Castilla_Y_Leon @ 12.862
    7 Portuguese @ 12.879
    8 Spanish_Galicia @ 13.807
    9 Tuscan @ 14.414
    10 Spanish_Valencia @ 14.427
    165 iterations.



    Using 2 populations approximation:
    1 50% Southeast_English +50% Tuscan @ 7.105
    2 50% Southwest_English +50% Tuscan @ 7.438
    3 50% Irish +50% Tuscan @ 7.448
    4 50% French +50% Tuscan @ 7.588
    5 50% German +50% Tuscan @ 7.630
    6 50% Irish +50% Sephardic_Jewish @ 7.750
    7 50% Tuscan +50% West_Scottish @ 7.805
    8 50% Sephardic_Jewish +50% West_Scottish @ 7.907
    9 50% Danish +50% Tuscan @ 7.994
    10 50% Sephardic_Jewish +50% Southeast_English @ 8.243
    13695 iterations.



    Using 3 populations approximation:
    1 50% Southeast_English +25% Assyrian +25% French_Basque @ 3.719
    2 50% Southwest_English +25% Assyrian +25% French_Basque @ 3.751
    3 50% Spanish_Aragon +25% Armenian +25% West_Scottish @ 4.184
    4 50% Southeast_English +25% Armenian +25% French_Basque @ 4.261
    5 50% Spanish_Aragon +25% Armenian +25% Irish @ 4.267
    6 50% Spanish_Aragon +25% Armenian +25% Orcadian @ 4.333
    7 50% Irish +25% Assyrian +25% French_Basque @ 4.381
    8 50% Southeast_English +25% Assyrian +25% Spanish_Aragon @ 4.448
    9 50% Southwest_English +25% Armenian +25% French_Basque @ 4.479
    10 50% Southwest_English +25% Assyrian +25% Spanish_Aragon @ 4.516
    543869 iterations.

  5. #115
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    Eurogenes EUtest V2 K15 Oracle-x Population Fitting:

    Admix Results:

    # Population Percent
    1 North_Sea 21.78
    2 Atlantic 27.13
    3 Baltic 6.41
    4 Eastern_Euro 3.25
    5 West_Med 13.14
    6 West_Asian 11.27
    7 East_Med 13.67
    8 Red_Sea 2.85
    9 South_Asian 0.00
    10 Southeast_Asian 0.00
    11 Siberian 0.42
    12 Amerindian 0.02
    13 Oceanian 0.00
    14 Northeast_African 0.05
    15 Sub-Saharan 0.00


    Pct. Calc. Option 2

    1 Spanish_Cataluna 49.29%
    2 Iranian 13.66%
    3 Irish 9.65%
    4 North_Ossetian 7.55%
    5 West_Scottish 6.42%
    6 Southeast_English 4.43%
    7 Spanish_Murcia 2.93%
    8 Tuscan 2.92%
    9 Spanish_Castilla_Y_Leon 2.06%
    10 Spanish_Extremadura 1.09%

  6. #116
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    Oracle option 2:

    Single Population Sharing:

    # Population (source) Distance
    1 North_Italian 10.04
    2 French 10.58
    3 Spanish_Cataluna 10.66
    4 Spanish_Murcia 11.01
    5 Spanish_Extremadura 11.21
    6 Spanish_Castilla_Y_Leon 11.29
    7 Portuguese 11.36
    8 Spanish_Galicia 12.1
    9 Tuscan 12.39
    10 Spanish_Valencia 12.62
    11 Spanish_Andalucia 13.01
    12 Spanish_Castilla_La_Mancha 13.1
    13 Serbian 14.5
    14 Spanish_Cantabria 14.62
    15 Spanish_Aragon 14.85
    16 Romanian 14.91
    17 Southwest_French 15.64
    18 Bulgarian 16.09
    19 Austrian 16.11
    20 German 16.2

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 62.8% Tuscan + 37.2% Irish @ 5.03
    2 63.6% Tuscan + 36.4% West_Scottish @ 5.12
    3 60.6% Tuscan + 39.4% Southeast_English @ 5.25
    4 63.3% Tuscan + 36.7% Danish @ 5.48
    5 60.5% Southwest_English + 39.5% Sephardic_Jewish @ 5.57
    6 59.8% Southeast_English + 40.2% Sephardic_Jewish @ 5.64
    7 60.2% Tuscan + 39.8% Southwest_English @ 5.71
    8 77.8% French + 22.2% Turkish @ 5.73
    9 57.5% Irish + 42.5% Sephardic_Jewish @ 5.74
    10 81.5% French + 18.5% Armenian @ 5.79
    11 81.5% French + 18.5% Assyrian @ 5.79
    12 83.3% Spanish_Cataluna + 16.7% Georgian @ 5.8
    13 80% Spanish_Cataluna + 20% Kumyk @ 5.82
    14 81.3% Spanish_Cataluna + 18.7% Lezgin @ 5.93
    15 82% Spanish_Cataluna + 18% Adygei @ 5.93
    16 84.5% Spanish_Cataluna + 15.5% Abhkasian @ 5.97
    17 80.1% French + 19.9% Lebanese_Muslim @ 5.99
    18 80.6% Spanish_Murcia + 19.4% Lezgin @ 6
    19 66.2% Tuscan + 33.8% Orcadian @ 6.06
    20 56.6% West_Scottish + 43.4% Sephardic_Jewish @ 6.07

  7. #117
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    Oracle option 2:

    Single Population Sharing:

    # Population (source) Distance
    1 North_Italian 10.04
    2 French 10.58
    3 Spanish_Cataluna 10.66
    4 Spanish_Murcia 11.01
    5 Spanish_Extremadura 11.21
    6 Spanish_Castilla_Y_Leon 11.29
    7 Portuguese 11.36
    8 Spanish_Galicia 12.1
    9 Tuscan 12.39
    10 Spanish_Valencia 12.62
    11 Spanish_Andalucia 13.01
    12 Spanish_Castilla_La_Mancha 13.1
    13 Serbian 14.5
    14 Spanish_Cantabria 14.62
    15 Spanish_Aragon 14.85
    16 Romanian 14.91
    17 Southwest_French 15.64
    18 Bulgarian 16.09
    19 Austrian 16.11
    20 German 16.2

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 62.8% Tuscan + 37.2% Irish @ 5.03
    2 63.6% Tuscan + 36.4% West_Scottish @ 5.12
    3 60.6% Tuscan + 39.4% Southeast_English @ 5.25
    4 63.3% Tuscan + 36.7% Danish @ 5.48
    5 60.5% Southwest_English + 39.5% Sephardic_Jewish @ 5.57
    6 59.8% Southeast_English + 40.2% Sephardic_Jewish @ 5.64
    7 60.2% Tuscan + 39.8% Southwest_English @ 5.71
    8 77.8% French + 22.2% Turkish @ 5.73
    9 57.5% Irish + 42.5% Sephardic_Jewish @ 5.74
    10 81.5% French + 18.5% Armenian @ 5.79
    11 81.5% French + 18.5% Assyrian @ 5.79
    12 83.3% Spanish_Cataluna + 16.7% Georgian @ 5.8
    13 80% Spanish_Cataluna + 20% Kumyk @ 5.82
    14 81.3% Spanish_Cataluna + 18.7% Lezgin @ 5.93
    15 82% Spanish_Cataluna + 18% Adygei @ 5.93
    16 84.5% Spanish_Cataluna + 15.5% Abhkasian @ 5.97
    17 80.1% French + 19.9% Lebanese_Muslim @ 5.99
    18 80.6% Spanish_Murcia + 19.4% Lezgin @ 6
    19 66.2% Tuscan + 33.8% Orcadian @ 6.06
    20 56.6% West_Scottish + 43.4% Sephardic_Jewish @ 6.07

  8. #118
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    Ruben, the Option 1 and Option 2 only actually works for the Oracle-X.
    Spoiler!

  9. #119
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    Quote Originally Posted by orangepulp View Post
    What is the origin of the East Med component? Which populations were taken as a reference?
    Quote Originally Posted by Equilibrium View Post
    The thing is he changes the labels with every new test, there isn't much consistency. His last major test was the K36 analysis, there East-Med consisted of non-Muslim Levantine populations.
    For Eurogenes K36, the reference populations used for the East_Med component were: Cypriot, Druze, Lebanese Christian, and Lebanese Druze.
    https://docs.google.com/file/d/0B9o3.../preview?pli=1

    For Eurogenese EUTest/Jtest, the reference populations used for the East_Med component were: Druze and Samaritans.
    https://docs.google.com/file/d/0B9o3.../preview?pli=1
    Quote Originally Posted by Robert View Post
    What populations does eastern euro come from? I have a little higher than average in that for British people.
    On Eurogenes EUtest/Jtest, the reference population for East_Euro was Udmurts.
    https://docs.google.com/file/d/0B9o3.../preview?pli=1

    And on Eurogenes K36, the reference samples for Eastern_Euro were: Erzya, Kargopol, and Moksha.
    https://docs.google.com/file/d/0B9o3.../preview?pli=1


    Eurogenes EUtest V2 K15 is most similar to EUtest/Jest overall, but we shall see what happens when the spreadsheet for this new calculator is released.
    Spoiler!

  10. #120
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    Polako should kick down a mf'in' spreadsheet, pronto.

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