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Thread: Does anyone know why this happens? (Vahaduo)

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    2 members found this post helpful.

    Does anyone know why this happens? (Vahaduo)

    I was trying to model some populations and this happened:


    Target: Irish
    Distance: 4.9374% / 0.04937387
    49.8 Yamnaya_RUS_Samara
    36.4 Anatolia_Barcin_N
    13.8 WHG


    Target: Polish:Polish16
    Distance: 4.6207% / 0.04620698
    37.2 Anatolia_Barcin_N
    28.6 Yamnaya_RUS_Samara
    24.4 RUS_Karelia_HG
    9.8 WHG


    Target: Estonian
    Distance: 6.4167% / 0.06416713
    32.0 Anatolia_Barcin_N
    30.4 RUS_Karelia_HG
    27.2 Yamnaya_RUS_Samara
    10.4 WHG

    Yamnaya numbers fall in eastern Europe and Karelia HG ( EHG population without Yamnaya CHG mixture) goes up


    I added 'Corded_Ware_Baltic_early' to the source to see if the model would stop pulling an additional Karelia mix to Eastern Europe. The model has become more efficient and distances have fallen, but eastern Europe continues with an additional mixture of pre-Yamnaya EHG ( it seems to coincide with regions where the R1b haplogroup is currently less common)


    Target: Irish
    Distance: 4.0625% / 0.04062541
    51.8 Corded_Ware_Baltic_early
    36.4 Anatolia_Barcin_N
    11.8 WHG


    Target: Polish: Polish16
    Distance: 3.9425% / 0.03942502
    37.6 Corded_Ware_Baltic_early
    34.8 Anatolia_Barcin_N
    17.0 RUS_Karelia_HG
    10.6 WHG


    Target: Estonian
    Distance: 5.7087% / 0.05708720
    38.8 Corded_Ware_Baltic_early
    28.8 Anatolia_Barcin_N
    20.6 RUS_Karelia_HG
    11.8 WHG




    What could explain the difference?

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    Interesting observation ACK.
    Here is hoping that someone can explain the phenomena... cause I personally can't.
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    2 members found this post helpful.
    I've always believed that especially in the northeast, the Yamnaya related Corded Ware people absorbed a lot of EHG people who had nothing to do with the Indo-Europeans, or those populations were absorbed later.

    Those supposedly extremely high steppe admixture numbers were, imo, giving a slightly incorrect impression, and the actual highest percentages of Corded Ware/Yamnaya type ancestry were highest in Scandinavia, and perhaps more isolated areas of the British Isles.

    In Britain, when the Beaker people arrived the farmer population had been decimated by climate change related food shortages, and they had clear ground. At that time, Scandinavia was really not optimal for Neolithic style farming, and populations weren't very high, so again, there was more "replacement.

    This may be showing that.


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    1 members found this post helpful.
    Yep, also in my models, this happens because Pre-Indo-European Eastern Europe/Comb Ceramic Culture is overwhelmingly EHG and in my models the highest Yamnaya related ancestry is in the Dutch,Danes and Northwestgermans according to G25 Coordinates. Eastern Europe just looks more like Yamnaya because they are more EHG than Western Europe. But this is according to the G25, I don't know how reliable they are. I link high steppe ancestry in Europe to the Single Grave Culture.

    Edit: It is not much higher than in the Irish, about 50%, but in some samples from Northwestern Germany you can get 55% Yamnaya but that's it, I never saw someone above 55%.

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    Quote Originally Posted by Anfänger View Post
    Yep, also in my models, this happens because Pre-Indo-European Eastern Europe/Comb Ceramic Culture is overwhelmingly EHG and in my models the highest Yamnaya related ancestry is in the Dutch,Danes and Northwestgermans according to G25 Coordinates. Eastern Europe just looks more like Yamnaya because they are more EHG than Western Europe. But this is according to the G25, I don't know how reliable they are. I link high steppe ancestry in Europe to the Single Grave Culture.

    Edit: It is not much higher than in the Irish, about 50%, but in some samples from Northwestern Germany you can get 55% Yamnaya but that's it, I never saw someone above 55%.
    I wouldn't be so sure, though, that G25 is accurate, and not just because of who created it. The sample selection may be funky.

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    This is from the paper "The Genetic History of Northern Europe"
    https://www.researchgate.net/figure/...fig2_314208372



    Modern Baltic is somewhere in between PWC / Narva and Steppe Eneolithic. Following the study the direct EHG contribution
    to mesolithic Eastern Baltic should be only very small. Could you try to model a Lithuanian? Would they also get the same result?




    Despite its geographically vicinity to EHG, the eastern Baltic individual associated
    with the Mesolithic Kunda culture shows a very close affinity to WHG in all our
    analyses, with a small but significant contribution from EHG or SHG, as revealed by
    significant D-statistics of the form D(Kunda, WHG; EHG/SHG, Mbuti) (Z>3;
    Supplementary Information Table S2).
    SHG appear intermediate between WHG/Kunda and EHG in PCA space, and the
    statistic D(SHG,WHG; EHG, Mbuti) is strongly significant for excess allele sharing
    of SHG and EHG (Z=12.8). Neither the Kunda individual nor SHG exhibit the major
    ADMIXTURE component shared between EHG and CHG (green in Figure 2b),
    bringing into question a direct contribution of EHG into the Mesolithic individuals
    from Scandinavia and the eastern Baltic.

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    1 members found this post helpful.
    Quote Originally Posted by Angela View Post
    I wouldn't be so sure, though, that G25 is accurate, and not just because of who created it. The sample selection may be funky.
    Yes might be to the samples why some Germans have 55%, but Dutch,Danes,Swedes,Norwegians,Northwestern Germans all descend from the Single Grave culture and the Irish and to some degree the British from the Dutch Bell Beakers which are an offshoot of the Single Grave Culture in my opinion. I think that is why there is the most Yamnaya ancestry, today. But the other half of their ancestry is from European Farmers and that's what pulls them away from Yamnaya when using the Distance option in Vahaduo. For Eastern Europe the difference adding EHG to models is huge, Yamnaya ancestry literally breaks-off.

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    @Dagne The same model for all Lithuanians in G25:

    Bildschirmfoto 2020-05-04 um 19.27.35.png

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    This is strange for a modern Lithuanian not to pick Corded_Ware_Baltic_early, what is this Corded Ware Baltic early then? Is it Scandinavian CWC or East Baltic CWC? Scandinavian one may have some components (SHG or early farmer) that shift the modelling off.

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    Quote Originally Posted by Dagne View Post
    This is strange for a modern Lithuanian not to pick Corded_Ware_Baltic_early, what is this Corded Ware Baltic early then? Is it Scandinavian CWC or East Baltic CWC? Scandinavian one may have some components (SHG or early farmer) that shift the modelling off.
    I didn´t run the model with CWC Baltic just Yamnaya for Steppe, but here is one with early CWC Baltic:

    Bildschirmfoto 2020-05-04 um 21.01.13.png

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    Quote Originally Posted by Angela View Post
    I've always believed that especially in the northeast, the Yamnaya related Corded Ware people absorbed a lot of EHG people who had nothing to do with the Indo-Europeans, or those populations were absorbed later.

    Those supposedly extremely high steppe admixture numbers were, imo, giving a slightly incorrect impression, and the actual highest percentages of Corded Ware/Yamnaya type ancestry were highest in Scandinavia, and perhaps more isolated areas of the British Isles.

    In Britain, when the Beaker people arrived the farmer population had been decimated by climate change related food shortages, and they had clear ground. At that time, Scandinavia was really not optimal for Neolithic style farming, and populations weren't very high, so again, there was more "replacement.

    This may be showing that.
    Angela, your explanation made a lot of sense. Thank you!

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    I think its the minor / noise percentages and sometimes the calculation over compensates. I noticed that when I was trying to model myself with my known ancestry components and adding / subtraction populations one at a time that would bring me closer to distance.

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    Country: Portugal



    Becomes more noticeable when we compare Western European countries with Russia.

    arget: Portuguese:EBC_Portugal1
    Distance: 3.3991% / 0.03399058
    52.6 Anatolia_Barcin_N
    31.0 Yamnaya_RUS_Samara
    11.0 WHG
    5.4 MAR_Iberomaurusian


    Target: French_Paris
    Distance: 3.9803% / 0.03980288
    47.0 Anatolia_Barcin_N
    40.6 Yamnaya_RUS_Samara
    12.4 WHG


    Target: French_Auvergne
    Distance: 3.1213% / 0.03121337
    51.8 Anatolia_Barcin_N
    35.6 Yamnaya_RUS_Samara
    12.6 WHG


    Target: German:German56
    Distance: 5.6763% / 0.05676272
    45.0 Yamnaya_RUS_Samara
    41.4 Anatolia_Barcin_N
    13.6 WHG



    Target: Italian_Lombardy:BGD31
    Distance: 4.2395% / 0.04239467
    57.6 Anatolia_Barcin_N
    29.2 Yamnaya_RUS_Samara
    7.4 IRN_Ganj_Dareh_Historic
    5.6 WHG
    0.2 MAR_Iberomaurusian

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    Target: Russian_Kostroma
    Distance: 5.6766% / 0.05676566
    37.0 RUS_Karelia_HG
    34.6 Anatolia_Barcin_N
    22.8 Yamnaya_RUS_Samara
    3.0 WHG

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    Sorry deleted

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    Can you check what happens if you include in your models this sample?:

    Scaled:

    Code:
    POL_BKG_N_o1,0.134311,0.11577,0.190446,0.187987,0.136025,0.063866,0.017156,0.03046,0.069743,-0.011481,-0.003897,-0.017534,0.023934,-0.004679,0.03013,0.053168,0.016428,0.004054,-0.002137,0.05315,0.074743,0.012613,-0.035249,-0.135682,0.017364
    Unscaled:

    Code:
    POL_BKG_N_o1,0.134311,0.11577,0.190446,0.187987,0.136025,0.063866,0.017156,0.03046,0.069743,-0.011481,-0.003897,-0.017534,0.023934,-0.004679,0.03013,0.053168,0.016428,0.004054,-0.002137,0.05315,0.074743,0.012613,-0.035249,-0.135682,0.017364

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    Quote Originally Posted by Ack View Post
    I was trying to model some populations and this happened
    What paremeters were you using? No Dist Col and scaled coordinates?

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    Quote Originally Posted by Ack View Post
    Target: Polish:Polish16
    Distance: 4.6207% / 0.04620698
    37.2 Anatolia_Barcin_N
    28.6 Yamnaya_RUS_Samara
    24.4 RUS_Karelia_HG
    9.8 WHG
    How about my model (using scaled coordinates):

    Your populations are still in the model, but I added two extra (my choices) to see which ones will be preferred:

    Your samples = black
    My populations = red

    Polish16:

    Target: Polish:Polish16
    Distance: 4.3672% / 0.04367198
    58.6 UKR_Sredny_Stog_En_o4
    18.8 Anatolia_Barcin_N
    14.2 POL_BKG_N_o1
    7.8 RUS_Karelia_HG
    0.6 Yamnaya_RUS_Samara
    0.0 WHG

    Polish average:

    Target: Polish
    Distance: 5.0922% / 0.05092215
    56.0 UKR_Sredny_Stog_En_o4
    20.4 Anatolia_Barcin_N
    15.0 POL_BKG_N_o1
    7.2 Yamnaya_RUS_Samara
    1.4 RUS_Karelia_HG
    0.0 WHG

    =======

    Data used:

    SOURCE:

    Code:
    Yamnaya_RUS_Samara,0.1255849,0.089028,0.0426986,0.1153479,-0.0287232,0.0450564,0.0036033,-0.0025642,-0.0559032,-0.0728943,0.0018222,3.32e-05,-0.0026924,-0.0233041,0.0366141,0.0157633,-0.0012316,-0.0017879,-0.0038408,0.0137704,-0.0031749,0.0007557,0.0110649,0.0186102,-0.004537UKR_Sredny_Stog_En_o4:I6561,0.127482,0.11577,0.047894,0.070737,0.010771,0.026216,0.00376,0.008077,-0.017385,-0.030069,-0.008282,0.005845,0.005798,-0.029038,0.013436,0.005834,-0.005215,-0.003801,-0.006034,0.002126,-0.010981,0.004081,0.000616,0.017713,-0.003952
    WHG,0.1246365,0.116278,0.184789,0.189279,0.1546445,0.0464355,0.0131605,0.0372675,0.0890705,0.017768,-0.0153455,-0.015811,0.0159065,-0.0030275,0.053338,0.0582065,0.00502,0.016343,-0.0093015,0.055589,0.0944585,0.0111905,-0.049607,-0.160866,0.0170045
    POL_BKG_N_o1,0.134311,0.11577,0.190446,0.187987,0.136025,0.063866,0.017156,0.03046,0.069743,-0.011481,-0.003897,-0.017534,0.023934,-0.004679,0.03013,0.053168,0.016428,0.004054,-0.002137,0.05315,0.074743,0.012613,-0.035249,-0.135682,0.017364
    Anatolia_Barcin_N,0.1175998,0.180118,0.0035312,-0.101158,0.0510443,-0.0483875,-0.0043582,-0.0069334,0.0362287,0.0807473,0.0079718,0.0118803,-0.0234545,0.0004691,-0.0419807,-0.0101913,0.0233091,0.0019866,0.0136954,-0.0097489,-0.0142249,0.0057723,-0.0041232,-0.0031658,-0.0043437
    RUS_Karelia_HG,0.1236877,0.0321583,0.129855,0.2101663,-0.010361,0.0571723,-0.0196627,-0.0234603,-0.002659,-0.0860153,0.0182957,-0.0184337,0.0333497,-0.039085,0.018865,0.0295237,-0.0148203,0.0031673,-0.0044413,0.012506,-0.007487,0.0169817,0.0093667,-0.021007,-0.0103383
    UKR_Sredny_Stog_En_o4,0.127482,0.11577,0.047894,0.070737,0.010771,0.026216,0.00376,0.008077,-0.017385,-0.030069,-0.008282,0.005845,0.005798,-0.029038,0.013436,0.005834,-0.005215,-0.003801,-0.006034,0.002126,-0.010981,0.004081,0.000616,0.017713,-0.003952
    TARGET:

    Code:
    Polish,0.1318405,0.1292694,0.0698685,0.0577382,0.0406754,0.0217127,0.0086781,0.0108626,-0.0009329,-0.0185524,-0.0043488,-0.0064187,0.013093,0.0186295,-0.0070244,-0.0005595,0.0015455,-7.41e-05,0.0026948,0.0012872,-0.0031286,-0.0031185,0.0056063,-0.0033328,-8.76e-05
    Polish:Polish16,0.137726,0.125926,0.069767,0.06783,0.042162,0.01757,0.00188,0.000462,0.002454,-0.019499,-0.011042,-0.004946,0.010555,0.010735,-0.000679,0.013524,-0.003651,-0.002407,-0.002514,0.001876,-0.00861,-0.004699,0.002835,-0.008314,-0.004431

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    Now let's see what happens, if I remove Anatolia_Barcin_N, and add instead Globular Amphora - who were also Neolithic Farmers, but lived in West Ukraine and Poland (those were exactly the kind of farmers that Steppe invaders encountered when they were moving from Ukraine to the Baltic Sea):

    Code:
    UKR_Globular_Amphora,0.1229287,0.1689163,0.0605907,-0.0204567,0.0829897,-0.014967,-0.00188,0.003538,0.052017,0.0724693,-0.0002707,0.0051953,-0.0175917,-0.001468,-0.0099073,-0.0019007,0.0051283,0.0057433,0.0051537,-0.0046273,0.0087343,0.0048227,-0.0170493,-0.0229753,0.003233
    POL_Globular_Amphora,0.1263436,0.1689961,0.0604725,-0.020045,0.0843053,-0.017849,0.0016865,0.0077916,0.0537897,0.0705682,0.0004012,0.0095386,-0.0161428,-0.0056101,-0.0098915,0.0004289,0.0045635,0.0068486,0.0062036,-0.000846,0.0091822,0.0078046,-0.013956,-0.0272541,0.0009228
    Polish average:

    Target: Polish
    Distance: 5.2133% / 0.05213338
    51.6 UKR_Sredny_Stog_En_o4
    27.8 UKR_Globular_Amphora
    12.2 Yamnaya_RUS_Samara
    7.8 POL_BKG_N_o1
    0.6 RUS_Karelia_HG
    0.0 WHG

    Polish16:

    Target: Polish:Polish16
    Distance: 4.4304% / 0.04430381
    52.2 UKR_Sredny_Stog_En_o4
    26.6 UKR_Globular_Amphora
    7.4 POL_BKG_N_o1
    7.4 RUS_Karelia_HG
    6.4 Yamnaya_RUS_Samara
    0.0 WHG

    And my result in this model:

    Target: Tomenable_scaled
    Distance: 4.6473% / 0.04647255
    74.0 UKR_Sredny_Stog_En_o4
    21.2 POL_Globular_Amphora
    4.8 POL_BKG_N_o1
    0.0 RUS_Karelia_HG
    0.0 WHG
    0.0 Yamnaya_RUS_Samara

    =====

    If I add back Barcin_N, my Globular Amphora gets replaced by a mix of Barcin_N + more POL_BKH_N_o1:

    Target: Tomenable_scaled
    Distance: 4.5311% / 0.04531122
    72.6 UKR_Sredny_Stog_En_o4
    16.6 Anatolia_Barcin_N
    10.8 POL_BKG_N_o1
    0.0 POL_Globular_Amphora
    0.0 RUS_Karelia_HG
    0.0 WHG
    0.0 Yamnaya_RUS_Samara

    In other words, Globular Amphora from Poland was a mix of Anatolian Farmers and local hunter-gatherers.

    POL_BKG_N_o1 is a hunter-gatherer from central Poland (Kuyavia region).

    =====

    Parameters which I used in this model:

    Coordinates: scaled
    Cycles - 16X
    Add Dist Col - No
    Print Zeroes - Yes

    Populations used and Vahado attached:

    VahaduoJS 19.11.2.zip

    source_populations.zip

    target_populations.zip
    Last edited by Tomenable; 09-05-20 at 08:21.

  20. #20
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    Y-DNA haplogroup
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    Ethnic group
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    POL Globular Amphora modelled as a mixture of Anatolia Neolithic and POL hunter-gatherer (BKG outlier1):



    ^^^
    Out of all known so far Mesolithic hunter-gatherer groups, Polish one was most similar to Lithuanian ones:



    So probably the same model could work well also with Baltic_LTU_Mesolithic instead of POL_BKG_N_o1.

  21. #21
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    In my opinion Proto-Balto-Slavs are descended rather from Steppe folks of the Sredni Stog culture - where early R1a-M417 was found - and not from Steppe folks of the Yamnaya culture. This is why I included both of these populations in my model and I just let the algorithm choose the better fitting one - as you can see in my case Sredni Stog is entirely preferred over Yamnaya.

    Globular Amphora is a good representation for those "Old Europe" farmers who lived along the way of Steppe folks expansion from Ukraine towards the Baltic Sea.

    POL_BKG_N_outlier1 - this person lived in times of Lengyel culture but autosomally was one of the remnants of pure hunter-gatherers along the south Baltic coast.

    PS:

    Population average "Polish" in this model does score some Yamnaya - contrary to my results - however, just like in my case Sredni Stog is preferred over Yamna.

  22. #22
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    1 members found this post helpful.
    Quote Originally Posted by Dagne View Post
    This is strange for a modern Lithuanian not to pick Corded_Ware_Baltic_early, what is this Corded Ware Baltic early then? Is it Scandinavian CWC or East Baltic CWC? Scandinavian one may have some components (SHG or early farmer) that shift the modelling off.
    Dagne I think that Corded_Ware_Baltic_Early was a "fresh off the bout" (or rather: "fresh off the horse") migrant straight from Ukraine's Steppe.

    Corded_Ware_Baltic_Late - on the other hand - was already mixed with local population, which is why it is more similar to modern Lithuanians.

    So it seems CWC_Baltic_Early didn't have any extra components, quite the opposite - it was missing some crucial components, absorbed later.

    Edit:

    This average includes these 3 individuals:

    Corded_Ware_Baltic_early:Gyvakarai1
    Corded_Ware_Baltic_early:I4629
    Corded_Ware_Baltic_early:Plinkaigalis242

    =====

    List of populations closest to CWC_Baltic_early based on scaled version of coordinates:


  23. #23
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    Even if I add to this model various Yamnaya subgroups and Poltavka, still Sredny Stog is preferred:

    Target: Tomenable_scaled
    Distance: 4.5234% / 0.04523438
    65.4 UKR_Sredny_Stog_En_o4
    18.2 Anatolia_Barcin_N
    11.2 POL_BKG_N_o1
    5.2 RUS_Poltavka
    0.0 POL_Globular_Amphora
    0.0 RUS_Karelia_HG
    0.0 WHG
    0.0 Yamnaya_KAZ_Karagash
    0.0 Yamnaya_KAZ_Mereke
    0.0 Yamnaya_RUS_Kalmykia
    0.0 Yamnaya_RUS_Samara
    0.0 Yamnaya_UKR

    source_populations2.zip

    Of course I realize that sample already had Neolithic Farmer admixture, but it lived in the Steppe.

  24. #24
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    1 members found this post helpful.
    Quote Originally Posted by Tomenable View Post
    How about my model (using scaled coordinates):

    Your populations are still in the model, but I added two extra (my choices) to see which ones will be preferred:

    Your samples = black
    My populations = red

    Polish16:

    Target: Polish:Polish16
    Distance: 4.3672% / 0.04367198
    58.6 UKR_Sredny_Stog_En_o4
    18.8 Anatolia_Barcin_N
    14.2 POL_BKG_N_o1
    7.8 RUS_Karelia_HG
    0.6 Yamnaya_RUS_Samara
    0.0 WHG

    Polish average:

    Target: Polish
    Distance: 5.0922% / 0.05092215
    56.0 UKR_Sredny_Stog_En_o4
    20.4 Anatolia_Barcin_N
    15.0 POL_BKG_N_o1
    7.2 Yamnaya_RUS_Samara
    1.4 RUS_Karelia_HG
    0.0 WHG

    =======

    Data used:

    SOURCE:

    Code:
    Yamnaya_RUS_Samara,0.1255849,0.089028,0.0426986,0.1153479,-0.0287232,0.0450564,0.0036033,-0.0025642,-0.0559032,-0.0728943,0.0018222,3.32e-05,-0.0026924,-0.0233041,0.0366141,0.0157633,-0.0012316,-0.0017879,-0.0038408,0.0137704,-0.0031749,0.0007557,0.0110649,0.0186102,-0.004537UKR_Sredny_Stog_En_o4:I6561,0.127482,0.11577,0.047894,0.070737,0.010771,0.026216,0.00376,0.008077,-0.017385,-0.030069,-0.008282,0.005845,0.005798,-0.029038,0.013436,0.005834,-0.005215,-0.003801,-0.006034,0.002126,-0.010981,0.004081,0.000616,0.017713,-0.003952
    WHG,0.1246365,0.116278,0.184789,0.189279,0.1546445,0.0464355,0.0131605,0.0372675,0.0890705,0.017768,-0.0153455,-0.015811,0.0159065,-0.0030275,0.053338,0.0582065,0.00502,0.016343,-0.0093015,0.055589,0.0944585,0.0111905,-0.049607,-0.160866,0.0170045
    POL_BKG_N_o1,0.134311,0.11577,0.190446,0.187987,0.136025,0.063866,0.017156,0.03046,0.069743,-0.011481,-0.003897,-0.017534,0.023934,-0.004679,0.03013,0.053168,0.016428,0.004054,-0.002137,0.05315,0.074743,0.012613,-0.035249,-0.135682,0.017364
    Anatolia_Barcin_N,0.1175998,0.180118,0.0035312,-0.101158,0.0510443,-0.0483875,-0.0043582,-0.0069334,0.0362287,0.0807473,0.0079718,0.0118803,-0.0234545,0.0004691,-0.0419807,-0.0101913,0.0233091,0.0019866,0.0136954,-0.0097489,-0.0142249,0.0057723,-0.0041232,-0.0031658,-0.0043437
    RUS_Karelia_HG,0.1236877,0.0321583,0.129855,0.2101663,-0.010361,0.0571723,-0.0196627,-0.0234603,-0.002659,-0.0860153,0.0182957,-0.0184337,0.0333497,-0.039085,0.018865,0.0295237,-0.0148203,0.0031673,-0.0044413,0.012506,-0.007487,0.0169817,0.0093667,-0.021007,-0.0103383
    UKR_Sredny_Stog_En_o4,0.127482,0.11577,0.047894,0.070737,0.010771,0.026216,0.00376,0.008077,-0.017385,-0.030069,-0.008282,0.005845,0.005798,-0.029038,0.013436,0.005834,-0.005215,-0.003801,-0.006034,0.002126,-0.010981,0.004081,0.000616,0.017713,-0.003952
    TARGET:

    Code:
    Polish,0.1318405,0.1292694,0.0698685,0.0577382,0.0406754,0.0217127,0.0086781,0.0108626,-0.0009329,-0.0185524,-0.0043488,-0.0064187,0.013093,0.0186295,-0.0070244,-0.0005595,0.0015455,-7.41e-05,0.0026948,0.0012872,-0.0031286,-0.0031185,0.0056063,-0.0033328,-8.76e-05
    Polish:Polish16,0.137726,0.125926,0.069767,0.06783,0.042162,0.01757,0.00188,0.000462,0.002454,-0.019499,-0.011042,-0.004946,0.010555,0.010735,-0.000679,0.013524,-0.003651,-0.002407,-0.002514,0.001876,-0.00861,-0.004699,0.002835,-0.008314,-0.004431
    I've always used scaled coordinates.
    I use earlier populations as a source. You use later cultures and stay out of context.

  25. #25
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    1 members found this post helpful.
    Quote Originally Posted by Tomenable View Post
    Even if I add to this model various Yamnaya subgroups and Poltavka, still Sredny Stog is preferred:
    Target: Tomenable_scaled
    Distance: 4.5234% / 0.04523438
    65.4 UKR_Sredny_Stog_En_o4
    18.2 Anatolia_Barcin_N
    11.2 POL_BKG_N_o1
    5.2 RUS_Poltavka
    0.0 POL_Globular_Amphora
    0.0 RUS_Karelia_HG
    0.0 WHG
    0.0 Yamnaya_KAZ_Karagash
    0.0 Yamnaya_KAZ_Mereke
    0.0 Yamnaya_RUS_Kalmykia
    0.0 Yamnaya_RUS_Samara
    0.0 Yamnaya_UKR
    source_populations2.zip
    Of course I realize that sample already had Neolithic Farmer admixture, but it lived in the Steppe.

    'UKR_Srendy' you used Already has an 'excess' of EHG and hides the EHG / Rarelia in the east when added to the model.

    Target: UKR_Sredny_Stog_En_o4
    Distance: 3.5594% / 0.03559414
    60.2 Yamnaya_RUS_Samara
    26.8 Anatolia_Barcin_N
    10.0 RUS_Karelia_HG
    2.8 WHG
    0.2 MAR_Iberomaurusian

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