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Thread: Daos DAD and MOM Results

  1. #31
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    Quote Originally Posted by Daos777 View Post
    Mom

    K13

    # Population Percent
    1 Baltic 42.38
    2 North_Atlantic 30.18
    3 West_Med 9.17
    4 East_Med 8.35
    5 West_Asian 4.43
    6 Siberian 1.53
    7 East_Asian 1.26
    8 Red_Sea 1.08
    9 Amerindian 1.08
    10 Sub-Saharan 0.32
    11 South_Asian 0.24

    Single Population Sharing:

    # Population (source) Distance
    1 South_Polish 3.65
    2 Ukrainian 4.62
    3 Ukrainian_Lviv 5.27
    4 Polish 5.39
    5 Southwest_Russian 6.53
    6 Russian_Smolensk 7.26
    7 Belorussian 7.27
    8 Estonian_Polish 7.32
    9 Ukrainian_Belgorod 7.52
    10 Croatian 8.64
    11 Southwest_Finnish 10.57
    12 Hungarian 10.7
    13 Estonian 10.85
    14 Kargopol_Russian 11
    15 Finnish 11.27
    16 Moldavian 11.84
    17 Lithuanian 12.11
    18 East_German 12.41
    19 East_Finnish 12.93
    20 Erzya 13.71


    Dodecad k12b


    Population
    Gedrosia 2.51 Pct
    Siberian 1.47 Pct
    Northwest_African -
    Southeast_Asian 1.73 Pct
    Atlantic_Med 21.98 Pct
    North_European 55.97 Pct
    South_Asian -
    East_African -
    Southwest_Asian 2.11 Pct
    East_Asian 0.11 Pct
    Caucasus 13.99 Pct
    Sub_Saharan 0.13 Pct


    Eurogenes Farmer vs Hunter Gatherer


    Population
    Anatolian Farmer 9.30 Pct
    Baltic Hunter Gatherer 63.55 Pct
    Middle Eastern Herder 2.36 Pct
    East Asian Farmer 0.96 Pct
    South American Hunter Gatherer 1.37 Pct
    South Asian Hunter Gatherer -
    North Eurasian Hunter Gatherer 1.45 Pct
    East African Pastoralist -
    Oceanian Hunter Gatherer -
    Mediterranean Farmer 20.27 Pct
    Pygmy Hunter Gatherer 0.59 Pct
    Bantu Farmer 0.16 Pct

    I'm jelly of that Baltic Hunter Gatherer score tbh.
    Interesting results for the three of you, which once again prove for me that it's hard for offspring to be a perfect average of their parents genetically.


  2. #32
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    Target: Daos_mom
    Distance: 2.2525% / 2.25247234 | ADC: 0.25x
    67.4 South_Polish
    21.4 Belorussian
    4.8 La_Brana-1
    3.2 Yemenite_Jewish
    2.8 Southwest_Finnish
    0.2 Hungarian
    0.2 Karitiana

    Target: Daos_mom
    Distance: 1.3829% / 1.38288947
    66.0 Belorussian
    8.2 Ashkenazi
    7.6 Southwest_Finnish
    6.0 La_Brana-1
    5.8 Bulgarian
    3.8 Norwegian
    2.2 Spanish_Valencia
    0.4 Karitiana

    DODECAD

    Distance to: Daos_mom
    2.87706448 Ukrainian
    3.53256281 Rus_Smolensk
    3.63568425 PL_Mazovia
    3.99996250 Rus_Kostroma
    5.60406995 Rus_Tver
    5.68471635 Southwest_Rus
    7.05171610 Sorb_Lusatia
    9.71794217 Hungarians
    10.27404010 Mixed_Slav
    13.68930239 Belorussian

    Target: Daos_mom
    Distance: 1.5042% / 1.50416989 | ADC: 0.25x
    59.8 Ukrainian
    19.4 PL_Mazovia
    15.6 Mixed_Slav
    4.2 Bulgarians
    1.0 Dai

    Quite strongly Xoxol

  3. #33
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    What are her Euro K15 and EUtest results? Maybe they would be accurate. Also MDLP K23b is worth trying (wait until it loads).

  4. #34
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    Quote Originally Posted by Ion Basescul View Post
    Interesting results for the three of you, which once again prove for me that it's hard for offspring to be a perfect average of their parents genetically.

    True, my results pull more towards my dads side instead of a average of the two. Good example is my Atlantic score. I should be around 26 if averaged out. I also don't understand where I get the higher East Med Score. 2 points higher than both my parents.

  5. #35
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    Quote Originally Posted by Daos777 View Post
    True, my results pull more towards my dads side instead of a average of the two. Good example is my Atlantic score. I should be around 26 if averaged out. I also don't understand where I get the higher East Med Score. 2 points higher than both my parents.
    Technically, you should have higher Red Sea, so maybe some of it overflows into East Med.

  6. #36
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    Quote Originally Posted by Leto View Post
    What are her Euro K15 and EUtest results? Maybe they would be accurate. Also MDLP K23b is worth trying (wait until it loads).
    Euro K15

    Admix Results (sorted):

    # Population Percent
    1 North_Sea 26.16
    2 Baltic 24.63
    3 Eastern_Euro 20.27
    4 Atlantic 12.65
    5 West_Med 6.32
    6 East_Med 4.06
    7 West_Asian 3.27
    8 Southeast_Asian 0.82
    9 Amerindian 0.66
    10 Siberian 0.5
    11 Red_Sea 0.42
    12 Sub-Saharan 0.23

    Single Population Sharing:

    # Population (source) Distance
    1 Ukrainian 4.89
    2 Ukrainian_Lviv 5.82
    3 South_Polish 6.41
    4 Polish 7.44
    5 Estonian 8.46
    6 Southwest_Russian 9.12
    7 Finnish 9.16
    8 Ukrainian_Belgorod 9.54
    9 Hungarian 9.85
    10 Russian_Smolensk 10.04
    11 East_Finnish 10.1
    12 Belorussian 10.36
    13 Croatian 10.42
    14 Estonian_Polish 10.62
    15 Southwest_Finnish 10.68
    16 Kargopol_Russian 10.85
    17 Moldavian 10.93
    18 East_German 12.14
    19 Lithuanian 12.77
    20 Erzya 13.18


    K23b

    Admix Results (sorted):

    # Population Percent
    1 European_Hunters_Gatherers 48.18
    2 Caucasian 29.57
    3 European_Early_Farmers 12.05
    4 Ancestral_Altaic 4.64
    5 Archaic_African 1.14
    6 South_East_Asian 1.04


    Finished reading population data. 620 populations found.
    23 components mode.

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

    Least-squares method.

    Using 1 population approximation:
    1 Ukrainian_West_ @ 4.440203
    2 Slovak_ @ 5.296364
    3 Kashub_ @ 6.277735
    4 Ukrainian_Center_ @ 6.588534
    5 Belarusian-East_ @ 7.044806
    6 Sorb_ @ 7.047407
    7 Russian_North_ @ 7.212347
    8 Belarusian_West_ @ 7.428010
    9 Czech_ @ 7.434169
    10 Russian-West_ @ 7.619694
    11 Ukrainian_East_ @ 7.622297
    12 Russian_South_ @ 7.710407
    13 German_ @ 7.904573
    14 Russian_Meshtchyora_ @ 7.906970
    15 Russian-Upper-Volga_ @ 8.642891
    16 Russian-North-West_ @ 9.009881
    17 Croat_BH_ @ 9.238192
    18 Hungarian_ @ 9.244235
    19 Slovenian_ @ 9.248827
    20 Ukrainian_ @ 9.256211

    Using 2 populations approximation:
    1 50% Balt_ +50% Serb_Serbia_ @ 3.930012


    Using 3 populations approximation:
    1 50% Belarusian-East_ +25% Russian-West_ +25% Serb_Serbia_ @ 3.635014

  7. #37
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    Why no oracles?

  8. #38
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    Eu K15 is quite poor as is often the case

    Target: Daos_mom
    Distance: 3.6065% / 3.60651381
    51.8 Ukrainian
    23.0 Erzya
    17.6 West_Norwegian
    5.2 Estonian
    1.2 Lebanese_Druze
    1.2 Yemenite_Jewish

  9. #39
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    Updated with Oracles.

  10. #40
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    MDLP is pretty much spot on. I told you it would load if you wait for a few seconds. As you probably know, the four pop mode gives somewhat bigger distances than mixed mode.

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