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Thread: Eupedia Ancient Ethnicities Checker: reliably compare your DNA to ancient populations

  1. #426
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    Ethnic group
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    Country: United States



    In reply to Malaparte.
    "How do other English and Irish people fare on this calculator?"

    My Mothers results. Paper trail 100 % British Isles.

    23 and me came back 77% British Isles 23 % Germany lower Saxony. The German most likely from some ancient Germanic invasion.

    Distance to: Mother
    2.33687826 Bronze_Age_Germany_(n=26)
    3.40586259 Iron_Age_Britons_(n=4)
    4.02438815 Roman_Britain_(n=8)
    4.05710488 Bell_Beaker_Gaul_(n=13)
    4.66179150 Early_Bronze_Age_Swabia_(n=24)
    5.50851160 Bell_Beaker_Bavaria/Saxony_(n=20)
    5.70870388 MBA_Tumulus_culture_(n=4)
    6.03211406 Middle-Late_Bronze_Age_Britain_(n=24)
    6.32173236 La_Tène_Celts_(n=55)
    6.61238989 Bell_Beaker_Poland_(n=6)
    6.63202081 Lombards_(n=28)
    6.98846192 Bell_Beaker_Czechia_(n=15)
    7.18018106 Danish_Vikings_(n=21)
    7.49013351 Vikings_from_England_(n=28)
    7.77740317 Middle_Bronze_Age_North_Alps_(n=7)

    Distance to Modern populations:

    Her closest example, Bronze Age Germany.
    The next two Iron Age Britons and Roman Britain speak for themselves. Then Bell Beaker Gaul.
    Lombards comes in #11 at 6.632.

    Distance to: Bronze_Age_Germany_(n=26)
    1.83313938 French_Northwest
    2.10366347 English_South
    2.52962448 English
    3.27696506 Belgian
    3.48383409 English_North

    Distance to: Bell_Beaker_Gaul_(n=13)
    3.94361509 French_North
    4.23975235 French_Northwest
    4.30866569 Belgian
    4.78920661 English_South
    4.83107648 French_Northeast

    Distance to: Lombards_(n=28)
    1.02946588 German_Northwest
    3.39992647 Icelandic
    3.75497004 Dutch
    3.94944300 Norwegian
    3.99797449 Danish
    Last edited by Dorquest; 01-01-22 at 03:54. Reason: Update

  2. #427
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    H3c

    Ethnic group
    more celtic
    Country: France



    1 members found this post helpful.
    Quote Originally Posted by Ailchu View Post
    interesting that the modern central europeans aren't closer. is this because those regions are nowadays more southern/eastern shifted or maybe because those samples are only from the elite of that time while the common people were different?
    The elite aspect may partly be at play but what I see is the known less Celtised regions are still different and that the geographically ancient central-west Celtic regions were new ethnies were historically settled later (Slavs, Germanics) had changed and are no more so close as northern French and Belgian people of today. I see hre a rough confirmation of written history and archelology.

  3. #428
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    Quote Originally Posted by MOESAN View Post
    The elite aspect may partly be at play but what I see is the known less Celtised regions are still different and that the geographically ancient central-west Celtic regions were new ethnies were historically settled later (Slavs, Germanics) had changed and are no more so close as northern French and Belgian people of today. I see hre a rough confirmation of written history and archelology.
    but i wonder why for example Belgian would be closer. they are more "northern" shifted than austrians and maybe even some southern germans. i think germanics couldn't have caused the shift in that case. more likely it is the slavic influence in central europe or roman maybe.

  4. #429
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    Ethnic group
    more celtic
    Country: France



    2 members found this post helpful.
    'northern' is not enough per se. Spite a Germanic input in Belgia, more in Flanders, their Celtic substratum is very strong ("Germanic" Franks had absorbed a lot of Belgae tribes (so Celtic+close to Celts added to others of the same sort), and were surely not of the same "northern" quality than the Germanics which colonised southeastern Germany and Austria later. And later, some light input of mor southern people in Belgia could have added a bit... Slavs could have plaid a role in Bavaria too, visible on physical aspect of some individuals.

  5. #430
    Advisor Angela's Avatar
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    Quote Originally Posted by MOESAN View Post
    'northern' is not enough per se. Spite a Germanic input in Belgia, more in Flanders, their Celtic substratum is very strong ("Germanic" Franks had absorbed a lot of Belgae tribes (so Celtic+close to Celts added to others of the same sort), and were surely not of the same "northern" quality than the Germanics which colonised southeastern Germany and Austria later. And later, some light input of mor southern people in Belgia could have added a bit... Slavs could have plaid a role in Bavaria too, visible on physical aspect of some individuals.
    Very good explanation as usual, Moesan.


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  6. #431
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    Quote Originally Posted by MOESAN View Post
    'northern' is not enough per se. Spite a Germanic input in Belgia, more in Flanders, their Celtic substratum is very strong ("Germanic" Franks had absorbed a lot of Belgae tribes (so Celtic+close to Celts added to others of the same sort), and were surely not of the same "northern" quality than the Germanics which colonised southeastern Germany and Austria later. And later, some light input of mor southern people in Belgia could have added a bit... Slavs could have plaid a role in Bavaria too, visible on physical aspect of some individuals.
    yes of course but if we look at a pca, then compare the position of belgians, who for some reason are closer to the ancient central europeans, with modern central europeans like swiss, austrians, southern germans or czech then the shift seems to be mostly towards east and a bit towards south. slavs almost certainly plaid a role in that case, if we assume that the people in that region were once more similar to modern belgians than to the modern inhabitants. not sure about swiss. the celts in that region might already have been different back then, but they would be shifted towards the south.

  7. #432
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    Ethnic group
    more celtic
    Country: France



    1 members found this post helpful.
    PCA's are PCA's and give us rough proximities or distances (the lightest components, absent, have also something to tell us, erased in PCA).
    My first reading of your post was you doubted of the relative proximity of average Belgians and ancient continental Celts.
    My answer at first covered the different regions around where different inputs occurred later in History: in quantity and in quality.
    Whatever Germanic, Slavic, or Germanic+Slavic and even more southern, according not only to country (state) but also to region, these later inputs can easily explain the today distanciation between the ancient inhabitants of these ancient continental Celtic or proto-Celtic regions and their today inhabitants. Austria is central Europe for me, and, irrigated by the Danube (a highway!), its today position on PCA's has nothing surprising (it has never been a Celtic stronghold). Concerning Slavs, yes, surely they played some role in the game. Particularly in Czechia, less in Bavaria or Austria. To me, Swiss like southern France are shifted "southwards" rather than "eastwards", to speak like that. I don't speak about the more eastern territories less succesfully occupied, some time ago, by the Celts. Their footprint was already light.

  8. #433
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    Quote Originally Posted by Maciamo View Post
    Germanic people from Scandinavia expanded towards North Germany and the Netherlands between 500 and 250 BCE. In this period all samples already appear quite Germanic and not very different from modern (northern) Dutch and NW Germans.
    That's imo not correct, no signs or sources (it's the old frame). There was an Anglo-Saxon and Jutish influx, but that's from fifth and sixth century AD.

  9. #434
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    Quote Originally Posted by MOESAN View Post
    PCA's are PCA's and give us rough proximities or distances (the lightest components, absent, have also something to tell us, erased in PCA).
    My first reading of your post was you doubted of the relative proximity of average Belgians and ancient continental Celts.
    My answer at first covered the different regions around where different inputs occurred later in History: in quantity and in quality.
    Whatever Germanic, Slavic, or Germanic+Slavic and even more southern, according not only to country (state) but also to region, these later inputs can easily explain the today distanciation between the ancient inhabitants of these ancient continental Celtic or proto-Celtic regions and their today inhabitants. Austria is central Europe for me, and, irrigated by the Danube (a highway!), its today position on PCA's has nothing surprising (it has never been a Celtic stronghold). Concerning Slavs, yes, surely they played some role in the game. Particularly in Czechia, less in Bavaria or Austria. To me, Swiss like southern France are shifted "southwards" rather than "eastwards", to speak like that. I don't speak about the more eastern territories less succesfully occupied, some time ago, by the Celts. Their footprint was already light.
    no, i never doubted the values, it was just interesting to see that there seems to have been quite a lot of different influences in central europe, not just "germanic", so that nowadays the closest populations are northern french and belgians, even southern english. if i understood it right the ancient celtic samples are from Austria, Czechia. and now closest to them are the Belgians. the situation for Czechs is clear but also Austrians are a lot further east shifted on a european pca. do you mean that those ancient samples were the elite and the inhabitants were different?

  10. #435
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    Quote Originally Posted by Maciamo View Post
    I have just added these:

    Iron Age Netherlands (600-0 BCE)

    Distance to: Iron_Age_Netherlands_(n=5)
    2.81817317 German_Northwest
    3.64554523 Icelandic
    4.36874124 Dutch
    4.63766105 German
    5.33819258 Dutch_Frisia
    5.50960071 English_North
    5.64025709 Scottish
    6.07415838 English_South
    6.34811783 Belgian_Flanders
    6.35255067 Irish
    6.99798542 French_Northwest
    9.33842599 English_Kent_1KG
    9.59563442 French_FrenchFlanders
    9.59705163 Belgian_average
    10.26558815 Austrian

    Germanic people from Scandinavia expanded towards North Germany and the Netherlands between 500 and 250 BCE. In this period all samples already appear quite Germanic and not very different from modern (northern) Dutch and NW Germans.
    Modern North Dutch

  11. #436
    Satyavrata Maciamo's Avatar
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    2 members found this post helpful.
    I have analysed the Iron Age Gauls from Patterson et al. 2021 and calculated the modal K12b values for three regional groups. Here are the closest modern populations.

    Northern Gauls (n=2)

    Distance to: Iron_Age_Northern_Gaul_(n=2)
    3.15520205 French
    3.78540619 Swiss_Geneva
    5.01332225 Belgian_Wallonia
    5.10972602 French_FrenchFlanders
    5.46592170 French_North
    5.81957902 French_Normandie
    6.09651540 French_Northwest
    6.37784446 Belgian_average
    6.47431077 French_Northeast
    7.06896739 English_South
    North-eastern Gauls (n=24)
    Distance to: Iron_Age_Northeastern_Gaul_(n=24)
    2.14042052 Belgian_Wallonia
    2.36674882 French_Normandie
    2.68780580 French_North
    2.92805396 Belgian_average
    3.06462069 French_Northeast
    3.37948221 Belgian_mixed
    3.63093652 French_Bretagne
    5.79695610 Belgian_Flanders
    6.10355634 German_Bavaria
    6.25462229 French

    Southern Gauls (n=8)

    Distance to: Iron_Age_Southern_Gaul_(n=8)
    4.75871831 Swiss_Geneva
    4.91603499 French
    6.02854875 French_South
    6.50635074 French_Auvergne
    8.77627484 Spanish_Cantabria
    8.95000000 Belgian_Wallonia
    9.31670543 Spanish_Catalonia
    9.42351315 French_Normandie
    9.62419867 French_Southwest
    9.68433787 French_North
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  12. #437
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    Quote Originally Posted by Maciamo View Post
    I have analysed the Iron Age Gauls from Patterson et al. 2021 and calculated the modal K12b values for three regional groups. Here are the closest modern populations.

    Northern Gauls (n=2)

    Distance to: Iron_Age_Northern_Gaul_(n=2)
    3.15520205 French
    3.78540619 Swiss_Geneva
    5.01332225 Belgian_Wallonia
    5.10972602 French_FrenchFlanders
    5.46592170 French_North
    5.81957902 French_Normandie
    6.09651540 French_Northwest
    6.37784446 Belgian_average
    6.47431077 French_Northeast
    7.06896739 English_South
    North-eastern Gauls (n=24)
    Distance to: Iron_Age_Northeastern_Gaul_(n=24)
    2.14042052 Belgian_Wallonia
    2.36674882 French_Normandie
    2.68780580 French_North
    2.92805396 Belgian_average
    3.06462069 French_Northeast
    3.37948221 Belgian_mixed
    3.63093652 French_Bretagne
    5.79695610 Belgian_Flanders
    6.10355634 German_Bavaria
    6.25462229 French

    Southern Gauls (n=8)

    Distance to: Iron_Age_Southern_Gaul_(n=8)
    4.75871831 Swiss_Geneva
    4.91603499 French
    6.02854875 French_South
    6.50635074 French_Auvergne
    8.77627484 Spanish_Cantabria
    8.95000000 Belgian_Wallonia
    9.31670543 Spanish_Catalonia
    9.42351315 French_Normandie
    9.62419867 French_Southwest
    9.68433787 French_North
    So, it seems that North Eastern Gauls dispersed northeners after the arrival of Germanic peoples

  13. #438
    Regular Member Duarte's Avatar
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    1 members found this post helpful.
    Modeling myself together with other Iberians in single population mode.

    Modeling 1 targeting populations from the Vahaduo Dodecad K12b Updated Spreadsheet.


    Modeling 2 targeting populations from the Vahaduo Dodecad K12b Original Spreadsheet (in this case the populations are all from the 1000 genomes project, except Portuguese and Spanish, which are populations from the Dodecad project, and Spaniards, which is a Behar population).

  14. #439
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    Country: Greece



    2-way results per age, only included distances under 4.

    Epipaleolithic to Chalcolithic:

    Distance to: pelop
    1.74623374 58.00% Chalcolithic_Anatolia_(n=35) + 42.00% Chalcolithic_Romania_(n=1)
    2.85084204 28.60% Mesolithic_Volga-Ural_(n=2) + 71.40% Minoan_Greece_(n=10)
    2.97532273 27.60% Comb_Ceramic_culture_(n=2) + 72.40% Minoan_Greece_(n=10)
    3.09035761 28.20% Mesolithic_Northwest_Russia_(n=4) + 71.80% Minoan_Greece_(n=10)
    3.24807228 19.20% Mesolithic_Volga-Ural_(n=2) + 80.80% EMBA_Greece_(n=6)
    3.25073397 18.40% Comb_Ceramic_culture_(n=2) + 81.60% EMBA_Greece_(n=6)
    3.34061461 18.80% Mesolithic_Northwest_Russia_(n=4) + 81.20% EMBA_Greece_(n=6)
    3.45469628 51.20% Chalcolithic_North_Levant_(n=6) + 48.80% Bell_Beaker_Czechia_(n=15)
    3.65233110 57.60% Chalcolithic_North_Levant_(n=6) + 42.40% Battle-Axe_culture_(n=3)
    3.95898953 28.00% Mesolithic_Volga-Ural_(n=2) + 72.00% Early_Neolithic_Anatolia_(n=20)
    3.99407688 19.20% Mesolithic_Ukraine_(n=7) + 80.80% EMBA_Greece_(n=6)

    Bronze Age:

    Distance to: pelop
    1.10387316 62.40% Early_Bronze_Age_Serbia_(n=23) + 37.60% Early_Bronze_Age_Anatolia_(n=4)
    2.16486701 46.60% Early_Bronze_Age_Anatolia_(n=4) + 53.40% Middle-Late_Bronze_Age_Hungary_(n=12)
    3.05919104 59.60% Early_Bronze_Age_Serbia_(n=23) + 40.40% Middle-Late_Bronze_Age_North_Levant_(n=24)
    3.19986955 49.80% Middle-Late_Bronze_Age_North_Levant_(n=24) + 50.20% Middle-Late_Bronze_Age_Hungary_(n=12)
    3.25335526 52.60% Early_Bronze_Age_Serbia_(n=23) + 47.40% Middle-Late_Bronze_Age_Hittites_(n=2)
    3.27957636 55.60% MBA_Tumulus_culture_(n=4) + 44.40% Early_Bronze_Age_Anatolia_(n=4)
    3.29719958 62.20% Early_Bronze_Age_Serbia_(n=23) + 37.80% Early-Middle_Bronze_Age_North_Levant_(n=9)
    3.75276026 57.00% Middle-Late_Bronze_Age_Hittites_(n=2) + 43.00% Middle-Late_Bronze_Age_Hungary_(n=12)
    3.82274011 47.20% Early-Middle_Bronze_Age_North_Levant_(n=9) + 52.80% Middle-Late_Bronze_Age_Hungary_(n=12)


    Iron Age & Early Antiquity:

    Distance to: pelop
    3.13986229 57.00% Imperial-age_Latium_(East_Med_immigrants)_(n=46) + 43.00% Early_Iron_Age_Hungary_(n=9)
    3.21409419 62.80% Italian_Greeks_(n=2) + 37.20% Early_Iron_Age_Hungary_(n=9)
    3.57986614 87.60% Imperial-age_Marche_(n=2) + 12.40% Iron_Age_Estonia_(n=8)
    3.88355868 80.00% Italian_Greeks_(n=2) + 20.00% Iron_Age_Estonia_(n=8)
    3.94550902 75.40% Italian_Greeks_(n=2) + 24.60% Iron_Age_Norway_(n=6)

    Late Antiquity & Middle Ages:

    Distance to: pelop
    3.86822792 77.80% Imperial_Tuscany_(n=4) + 22.20% Avars_(n=2)
    3.88200196 94.20% Medieval_Foggia_Apulia_(n=5) + 5.80% Early_Medieval_Czechs_(n=2)
    3.95898003 93.00% Medieval_Foggia_Apulia_(n=5) + 7.00% Avars_(n=2)

  15. #440
    Regular Member Nicu's Avatar
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    Ethnic group
    Romanian
    Country: USA - Texas



    How are people getting such low numbers on the Single mode when these are ancient, supposedly distant samples?

    Distance to: Nicu
    10.05644569 Late_Medieval_Latium_(n=16)
    11.27917107 6th-century_Piedmont_(Italians_&_Lombards)_(n=24)
    12.37316855 Western_Scythians_(n=28)
    12.70523514 Bronze_Age_Illyrians
    13.84101875 Medieval_Foggia_Apulia_(n=5)
    14.75679166 Early_Iron_Age_Croatia_(n=9)
    14.86152078 Medieval_Tuscany_(n=10)
    14.89718094 Early_Medieval_Latium_(n=5)
    15.52592348 Late_Antiquity_Latium_(n=24)
    15.96748571 Early_Bronze_Age_Serbia_(n=23)
    15.97754049 Bell_Beaker_Hungary_(n=6)
    16.22885701 Early_Iron_Age_Hungary_(n=9)
    16.57700516 Villanovans_(n=2)
    16.67520914 Ostrogoths_(n=3)
    17.49727407 Early_Iron_Age_Slovenia_(n=10)
    17.75346163 Medieval_Basilicata_(n=10)
    17.89321380 6th-century_Piedmont_(Italians_only)_(n=7)
    18.04430381 Imperial-age_Marche_(n=2)
    19.21437743 Roman_&_Visigothic_Iberia_(n=31)
    19.69899236 Medieval_Catalonia_Valencia_(n=9)
    20.53302705 Bell_Beaker_Poland_(n=6)
    20.60836723 La_Tène_Celts_(n=55)
    21.47164875 Etruscans_(n=48)
    21.47843803 Middle_Bronze_Age_North_Alps_(n=7)
    21.53327193 Bell_Beaker_Bavaria/Saxony_(n=20)

    The 2-Way did yield closer results though

    Distance to: Nicu
    2.38193858 44.80% Middle_Bronze_Age_Anatolia_(n=2) + 55.20% Vikings_from_Russia_(n=15)
    2.44405125 45.00% Middle_Bronze_Age_Anatolia_(n=2) + 55.00% Vikings_from_Poland_(n=9)
    2.60419023 43.20% Middle_Bronze_Age_Anatolia_(n=2) + 56.80% Vikings_from_Ukraine_(n=4)
    2.82253115 43.60% Middle_Bronze_Age_Anatolia_(n=2) + 56.40% Avars_(n=2)
    3.38195041 54.20% Italian_Greeks_(n=2) + 45.80% Avars_(n=2)
    3.38792122 53.40% Middle_Bronze_Age_Anatolia_(n=2) + 46.60% Medieval_Estonia_(n=7)
    3.40298681 26.00% Baltic_Bronze_Age_(n=12) + 74.00% Imperial-age_Marche_(n=2)
    3.45355298 61.40% Imperial-age_Marche_(n=2) + 38.60% Avars_(n=2)
    3.53617373 25.60% Bronze_Age_Estonia_(n=16) + 74.40% Imperial-age_Marche_(n=2)
    3.61001534 24.00% Mesolithic_Baltic_Scandinavia_(SHG)_(n=31) + 76.00% Imperial-age_Marche_(n=2)
    3.61688947 71.80% Imperial-age_Marche_(n=2) + 28.20% Iron_Age_Estonia_(n=8)
    3.62489613 24.40% Neolithic_Lithuania_Narva_culture_(n=4) + 75.60% Imperial-age_Marche_(n=2)
    3.63099654 24.40% Chalcolithic_Northwest_Caucasus_(n=3) + 75.60% Early_Bronze_Age_Serbia_(n=23)
    3.63887908 24.60% Chalcolithic_Northwest_Caucasus_(n=3) + 75.40% Early_Iron_Age_Hungary_(n=9)
    3.68719996 62.40% Italian_Greeks_(n=2) + 37.60% Early_Medieval_Czechs_(n=2)
    3.70899027 23.00% Neolithic_Ukraine_(n=12) + 77.00% Imperial-age_Marche_(n=2)
    3.72893608 55.60% Italian_Greeks_(n=2) + 44.40% Vikings_from_Poland_(n=9)
    3.77969823 53.80% Italian_Greeks_(n=2) + 46.20% Vikings_from_Ukraine_(n=4)
    3.87319529 53.80% EBA_Unetice_culture_(n=18) + 46.20% Middle_Bronze_Age_Anatolia_(n=2)
    3.94632219 41.20% Chalcolithic_Anatolia_(n=35) + 58.80% Swedish_Vikings_(n=23)
    3.97492771 45.40% Chalcolithic_Anatolia_(n=35) + 54.60% Nordic_Bronze_Age_(n=14)
    3.97782225 52.40% Middle-Late_Bronze_Age_Hittites_(n=2) + 47.60% Nordic_Bronze_Age_(n=14)
    3.98433398 69.40% Imperial-age_Marche_(n=2) + 30.60% Early_Medieval_Czechs_(n=2)
    3.98622422 26.20% Kura-Araxes_culture_(n=8) + 73.80% Early_Iron_Age_Hungary_(n=9)
    3.99679521 59.20% Imperial-age_Latium_(East_Med_immigrants)_(n=46) + 40.80% Early_Medieval_Czechs_(n=2)

    Is this what happens when your ancient ancestry is spread among peoples that were originally rather distant from each other?


    Target: Nicu
    Distance: 0.8328% / 0.83279168
    34.3 Middle_Bronze_Age_Anatolia_(n=2)
    22.2 Early_Medieval_Czechs_(n=2)
    9.4 MBA_Sintashta_culture_(n=4)
    8.6 Middle-Late_Bronze_Age_Hungary_(n=12)
    6.6 Neolithic_Lithuania_Narva_culture_(n=4)
    6.0 Iron_Age_Armenia_(n=7)
    5.5 Chalcolithic_Anatolia_(n=35)
    2.5 Mongolian_Xiongnu_(n=5)
    2.3 Early_Neolithic_France_(n=4)
    1.3 Chalcolithic_North_Levant_(n=6)
    1.3 Chalcolithic_Northwest_Caucasus_(n=3)

  16. #441
    Advisor Jovialis's Avatar
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    1 members found this post helpful.
    Quote Originally Posted by Maciamo View Post
    Here are the values to copy and paste in Vahaduo to compare with your own genome or modern populations. They are listed in chronological order so that you can easily select the period you are interested in. When comparing someone to multiple ancient populations, it does not make much sense to mix Mesolithic or Neolithic samples with Iron Age or Medieval ones, so it's better to split the data accordingly. You can find the coordinates by period on this page.



    Code:
    Epipaleolithic_Levant_(Natufians)_(n=6),0.00,0.34,20.28,1.24,14.41,0.20,1.19,4.56,43.91,0.39,13.48,0.00
    Epipaleolithic_Magreb_(Iberomaurusians)_(n=5),0.00,1.08,65.59,1.69,0.04,0.06,1.11,18.93,5.54,0.05,0.00,5.90
    Mesolithic_Anatolia_(AHG)_(n=1),0.00,0.00,3.77,0.11,57.42,0.42,0.00,0.00,11.78,0.00,26.51,0.00
    Epipaleolithic_Mesolithic_Caucasus_(CHG)_(n=2),42.18,0.57,0.00,0.00,0.00,4.35,0.28,0.00,0.00,0.00,50.61,2.03
    Mesolithic_West_Europeans_(WHG)_(n=21),0.00,0.57,0.00,0.74,30.90,65.73,0.38,0.08,0.00,0.02,0.00,1.57
    Mesolithic_Balkans_HG_(n=43),0.01,0.37,0.02,0.35,24.46,72.81,0.08,0.02,0.09,0.07,0.03,1.71
    Mesolithic_Baltic_Scandinavia_(SHG)_(n=31),0.25,2.72,0.00,0.22,15.89,79.14,0.50,0.12,0.00,0.02,0.00,1.13
    Mesolithic_Ukraine_(n=7),0.92,4.54,0.00,0.62,9.05,81.79,1.31,0.55,0.00,0.00,0.00,1.21
    Mesolithic_Volga-Ural_(n=2),11.27,8.18,0.00,0.00,0.00,77.53,2.39,0.00,0.00,0.00,0.00,0.64
    Mesolithic_Northwest_Russia_(n=4),7.23,7.78,0.00,1.37,1.40,81.04,0.09,0.00,0.00,0.00,0.00,1.09
    Late_Mesolithic_Comb_Ceramic_culture_(n=2),7.07,7.71,0.00,0.77,0.00,83.02,1.00,0.15,0.00,0.00,0.00,0.31
    Pre-Pottery_Neolithic_Levant_(n=15),0.48,0.09,9.68,0.10,23.86,1.59,0.00,1.98,30.73,0.94,30.53,0.00
    Pre-Pottery_Neolithic_Iran_(n=6),64.18,1.82,0.00,0.00,0.00,0.81,5.83,1.02,3.55,0.68,15.97,6.15
    Pre-Pottery_Neolithic_Anatolia_(n=14),0.00,0.07,3.47,0.29,46.01,2.80,0.20,0.34,10.91,0.17,34.74,1.00
    Early_Neolithic_Anatolia_(n=20),0.03,0.14,3.39,0.44,37.92,0.15,0.00,0.61,15.91,0.18,40.32,0.92
    Early_Neolithic_Greece_(n=3),0.00,0.00,3.61,0.49,43.20,0.00,0.00,0.00,13.96,0.00,37.99,0.76
    Early_Neolithic_Starcevo_culture_(n=8),0.00,0.09,2.99,0.01,49.42,7.60,0.00,0.06,11.36,0.04,28.32,0.11
    EN_Alfold_Linear_Pottery_culture_(n=20),0.00,0.00,3.05,0.05,54.21,4.88,0.22,0.09,12.37,0.12,24.83,0.18
    EN_LBK_culture_(n=43),0.00,0.02,3.21,0.09,51.90,0.72,0.00,0.12,14.11,0.07,29.64,0.13
    Early_Neolithic_France_(n=4),0.00,0.06,2.12,0.00,57.21,0.69,0.00,0.00,12.87,0.00,27.06,0.00
    Early_Neolithic_Spain_(n=10),0.00,0.32,4.62,0.13,69.67,0.81,0.01,0.05,9.59,0.15,14.08,0.58
    Early_Neolithic_Italy_(n=10),0.00,0.00,3.77,0.01,54.90,1.68,0.00,0.05,11.33,0.05,28.23,0.01
    Early_Neolithic_Maghreb_(n=1),0.00,0.00,19.30,0.00,48.09,0.17,0.00,1.77,20.93,0.00,9.74,0.00
    Cucuteni-Trypillian_culture_(n=4),0,0.00,2.89,0.11,51.14,18.29,1.31,0.34,7.10,0.00,19.58,0.00
    Neolithic_Ukraine_(n=12),0.11,3.03,0.00,0.75,11.68,81.52,1.26,0.00,0.00,0.32,0.00,1.34
    Neolithic_Latvia_(n=4),0.00,0.40,0.00,0.40,13.65,75.89,0.35,0.00,0.00,0.00,0.00,9.33
    Neolithic_Lithuania_Narva_culture_(n=4),0.00,0.00,0.00,0.00,21.15,78.32,0.06,0.00,0.00,0.04,0.00,0.43
    MN_Vinca_culture_(n=6),0.00,0.05,2.99,0.06,51.34,0.98,0.14,0.14,18.20,0.00,25.77,0.31
    LN_Lengyel_culture_(n=8),0.00,0.06,3.98,0.00,51.67,3.60,0.00,0.02,11.19,0.00,29.36,0.11
    LN_Tisza-Sopot_culture_(n=11),0.00,0.01,2.26,0.19,53.02,3.15,0.02,0.00,13.69,0.30,27.18,0.19
    Middle_Neolithic_Sicily_(n=10),0.00,0.00,3.76,0.00,55.03,3.82,0.00,0.07,11.77,0.00,25.52,0.03
    Middle_Neolithic_Sardinia_(n=10),0.00,0.00,4.37,1.35,67.53,2.79,0.00,0.13,7.55,0.12,16.03,0.12
    Middle_Neolithic_France_(n=19),0.00,0.06,4.04,0.24,62.41,9.46,0.05,0.13,8.41,0.04,15.02,0.15
    Neolithic_Britain_(n=62),0.00,0.07,4.07,0.28,65.93,13.23,0.08,0.07,7.13,0.20,8.68,0.25
    Middle_Late_Neolithic_Spain_(n=12),0.00,0.11,3.94,0.29,67.66,9.90,0.28,0.03,7.06,0.29,10.09,0.35
    Middle-Late_Neolithic_Portugal_(n=4),0.00,0.46,4.19,0.53,68.23,11.53,0.02,0.46,6.58,0.40,6.92,0.70
    Late_Neolithic_Switzerland_(n=58),0.52,0.13,4.08,0.19,63.95,11.13,0.03,0.02,7.00,0.19,12.71,0.06
    Megalithic_Europe_(n=24),0.00,0.02,3.77,0.25,62.37,13.97,0.05,0.43,7.32,0.37,10.86,0.59
    MN_Westphalia_(Megalithic_Wartberg)_(n=6),0.00,0.00,1.29,0.65,53.72,42.20,0.00,0.27,0.68,0.32,0.00,0.86
    Khvalynsk_culture_(n=3),26.10,5.95,0.00,0.15,0.00,66.48,0.55,0.00,0.00,0.00,0.37,0.40
    Chalcolithic_Pontic_Steppe_(n=3),36.31,2.64,0.00,0.00,0.00,48.76,2.57,0.00,0.00,0.00,8.54,1.18
    Botai_culture_(n=3),20.42,27.26,0.00,2.16,0.00,43.87,4.87,0.00,0.00,1.31,0.00,0.11
    CA_Afanasievo_culture_(n=5),24.19,1.31,0.00,0.03,9.45,62.36,0.32,0.07,0.00,0.04,1.93,0.28
    Chalcolithic_Northwest_Caucasus_(n=3),23.32,0.00,0.74,0.31,0.96,11.65,0.26,0.00,3.70,0.70,56.91,1.44
    Chalcolithic_Azerbaijan_(n=4),17.37,0.00,2.29,0.71,12.06,0.70,0.74,0.62,16.84,0.41,47.98,0.27
    Chalcolithic_Anatolia_(n=35),8.77,0.05,1.54,0.16,17.49,0.97,0.36,0.13,17.88,0.12,52.11,0.41
    Chalcolithic_North_Levant_(n=6),0.00,0.00,3.09,0.12,26.99,0.00,0.11,0.00,22.78,0.26,46.53,0.13
    Chalcolithic_Israel,0.00,0.00,5.47,0.28,18.98,0.00,0.01,1.07,36.61,0.12,37.31,0.15
    Chalcolithic_Bulgaria_(n=9),0.00,0.00,3.62,0.03,48.06,5.72,0.00,0.00,13.72,0.00,28.84,0.01
    Chalcolithic_Romania_(n=1),0.00,0.00,0.00,0.24,43.99,53.43,0.00,0.09,0.00,0.00,0.00,2.25
    CA_Remedello_culture_(n=3),0.00,0.00,0.78,0.71,69.04,11.78,0.00,0.00,5.18,0.00,11.80,0.72
    Globular_Amphora_culture_(n=6),0.00,0.14,2.10,0.00,62.55,19.90,0.00,0.00,6.42,0.01,8.72,0.16
    Middle_Chalcolithic_Hungary_(n=9),0.00,0.06,2.59,0.00,54.30,4.98,0.01,0.21,11.41,0.09,26.19,0.16
    Late_Chalcolithic_Baden_culture_(n=14),0.00,0.01,3.30,0.10,54.14,7.69,0.00,0.02,11.04,0.13,23.26,0.32
    Chalcolithic_Italy_(n=5),0.00,0.00,4.37,0.19,60.14,2.99,0.00,0.00,8.70,0.00,23.19,0.42
    Chalcolithic_BB_Sardinia_(n=10),0.00,0.05,7.10,0.20,62.40,4.58,0.00,1.41,8.67,0.08,14.69,0.83
    Chalcolithic_Spain_(n=60),0.67,0.18,3.55,0.44,66.83,14.83,0.42,0.30,5.23,0.18,6.91,0.46
    Chalcolithic_Portugal_(n=11),0.00,0.67,4.28,0.45,65.01,11.91,0.76,1.21,5.55,0.48,8.81,0.86
    Bell_Beaker_Iberia_(n=11),0.41,0.03,2.98,0.14,68.83,13.98,0.95,0.15,3.37,0.53,8.33,0.31
    Bell_Beaker_Gaul_(n=13),8.61,0.65,1.22,0.24,38.28,39.03,0.77,0.52,3.24,0.08,7.02,0.33
    Bell_Beaker_Bavaria/Saxony_(n=20),8.93,1.10,0.71,0.27,35.12,40.72,0.79,0.30,1.46,0.17,9.66,0.78
    Bell_Beaker_Czechia_(n=15),8.03,0.49,0.54,0.03,34.19,45.22,0.45,0.10,1.12,0.12,9.28,0.43
    Bell_Beaker_Hungary_(n=6),9.44,0.72,1.14,0.40,36.30,32.38,0.21,0.19,4.16,0.00,14.09,0.98
    Bell_Beaker_Poland_(n=6),9.04,1.19,0.23,0.14,38.46,36.83,0.21,0.16,1.73,0.00,11.13,0.89
    Bell_Beaker_Netherlands_(n=7),13.47,0.91,0.00,0.04,30.87,49.92,1.00,0.17,0.02,0.01,2.72,0.86
    Bell_Beaker_Britain_(n=27),12.57,0.74,0.15,0.13,34.10,47.22,0.84,0.37,0.31,0.18,2.76,0.65
    Kura-Araxes_culture_(n=8),23.11,0.73,1.17,0.01,5.83,6.92,0.09,0.33,9.87,0.00,51.11,0.83
    Early_Bronze_Age_Jordan_(n=3),3.70,1.96,1.80,2.59,16.66,0.07,0.03,2.56,34.26,0.00,36.36,0.00
    EMBA_Greece_(n=6),2.31,0.28,2.82,0.14,34.82,9.08,0.02,0.08,10.81,0.49,37.34,1.82
    Minoan_Greece_(n=10),1.24,0.05,2.80,0.09,40.35,0.07,0.00,0.00,13.79,0.29,41.27,0.04
    Maykop_culture_(n=16),27.32,3.15,0.44,0.11,3.81,20.03,2.14,0.10,5.14,0.02,36.78,0.95
    Yamna_culture_(n=16),27.42,2.50,0.00,0.12,3.38,57.21,1.90,0.04,0.00,0.00,6.77,0.68
    Eastern_Corded_Ware_(n=14),16.45,1.20,0.00,0.00,17.75,59.38,1.23,0.38,0.00,0.00,2.67,0.94
    Western_Corded_Ware_(n=17),14.35,0.78,0.06,0.06,22.27,55.22,0.50,0.04,0.15,0.35,5.47,0.75
    Battle-Axe_culture_(n=3),12.01,0.59,0.00,0.00,29.41,52.60,1.01,0.10,0.00,0.00,3.25,1.03
    EBA_Fatyanovo_culture_(n=18),14.71,1.13,0.42,0.34,23.58,52.50,1.46,0.36,0.06,0.12,4.09,1.21
    EMBA_Poltavka_culture_(n=8),24.61,3.15,0.00,0.00,9.02,55.88,1.84,0.14,0.36,0.00,4.47,0.54
    EMBA_Catacomb_culture_(n=4),28.50,2.40,0.00,0.09,2.43,57.07,1.42,0.00,0.00,0.00,7.10,1.00
    MBA_Sintashta_culture_(n=4),14.63,0.10,0.10,0.00,27.86,55.95,0.00,0.00,0.00,0.00,1.05,0.33
    EBA_Unetice_culture_(n=18),8.09,0.76,0.61,0.09,30.84,53.50,0.40,0.23,0.29,0.14,4.80,0.25
    MBA_Tumulus_culture_(n=4),5.46,0.09,1.28,0.49,38.88,40.01,0.78,0.09,1.86,0.07,10.16,0.84
    Early_Bronze_Age_Serbia_(n=23),1.83,0.25,1.20,0.24,37.85,36.37,0.44,0.16,4.51,0.10,16.53,0.51
    Early_Bronze_Age_Britain_(n=28),11.99,0.65,0.40,0.43,34.02,46.75,0.72,0.21,0.28,0.08,3.35,1.11
    Early_Bronze_Age_Iberia_(n=7),3.84,0.22,2.77,0.76,54.51,24.30,0.87,0.24,3.43,1.00,7.06,0.99
    Mycenaean_Greece_(n=4),2.09,0.31,2.85,0.36,38.17,7.57,0.13,0.25,9.98,0.42,37.10,0.80
    Bronze_Age_Sicily_(n=15),0.40,0.28,3.21,0.18,48.14,9.71,0.19,0.00,9.88,0.20,27.52,0.27
    Nuragic_Sardinia_(n=13),0.00,0.00,4.03,0.36,66.71,5.81,0.07,0.03,8.09,0.05,14.64,0.23
    Middle-Late_Bronze_Age_Britain_(n=24),11.28,0.63,0.25,0.18,36.18,44.97,1.05,0.14,0.09,0.04,4.37,0.82
    Early_Bronze_Age_Swabia_(n=24),7.79,0.63,1.26,0.44,40.93,37.99,0.74,0.22,1.73,0.26,7.55,0.45
    Early_Bronze_Age_Southern_France_(n=5),1.20,0.35,0.17,0.37,50.83,30.77,0.19,0.78,2.26,0.00,12.74,0.33
    Early_Bronze_Age_Anatolia_(n=4),9.53,0.00,1.96,0.09,14.18,0.00,0.15,0.32,19.93,0.06,53.10,0.68
    Early-Middle_Bronze_Age_North_Levant_(n=9),8.77,0.00,3.09,0.37,12.70,0.24,0.55,0.54,26.16,0.13,47.13,0.31
    Middle-Late_Bronze_Age_North_Levant_(n=24),11.47,0.21,3.35,0.20,12.45,3.12,0.68,0.45,22.43,0.21,45.27,0.15
    Middle_Bronze_Age_Anatolia_(n=2),5.22,0.00,0.00,0.00,29.43,3.32,0.00,0.11,12.40,0.00,48.94,0.58
    Middle-Late_Bronze_Age_Hittites_(n=2),9.37,3.22,0.80,0.00,16.48,8.51,0.00,0.00,13.03,3.32,44.46,0.83
    Middle_Bronze_Age_North_Alps_(n=7),7.65,0.38,0.15,0.04,40.96,35.90,0.95,0.22,1.24,0.25,11.46,0.80
    Middle_Late_Bronze_Age_Italy_(n=9),1.57,0.27,2.20,0.48,51.18,18.07,0.28,0.02,7.78,0.13,17.53,0.49
    Middle-Late_Bronze_Age_Spain_(n=38),1.40,0.22,2.80,0.35,56.09,25.24,0.44,0.17,3.45,0.30,9.06,0.48
    Middle_Bronze_Age_Portugal_(n=4),0.58,0.14,3.24,0.53,57.27,23.19,0.58,0.01,5.06,0.35,8.26,0.79
    Bronze_Age_Germany_(n=26),8.37,0.70,0.79,0.34,38.03,41.31,0.58,0.33,1.30,0.28,7.50,0.47
    Nordic_Bronze_Age_(n=14),5.79,0.00,0.17,0.80,37.49,53.80,0.07,0.00,0.08,0.00,1.36,0.44
    Middle_Bronze_Age_North_Caucasus_(n=7),28.78,2.62,0.00,0.31,2.06,52.67,0.93,0.12,0.00,0.00,11.30,1.21
    Late_Bronze_Age_North_Caucasus_(n=4),26.72,0.93,0.00,0.00,2.39,25.10,1.33,0.07,1.70,0.16,40.77,0.83
    Middle-Late_Bronze_Age_Hungary_(n=12),0.70,0.00,0.41,0.02,44.26,41.40,0.29,0.11,1.52,0.12,10.92,0.25
    Bronze_Age_Illyrians,4.87,0.27,0.93,0.48,37.82,25.19,0.00,0.00,5.57,0.00,24.10,0.78
    MBA_Andronovo_culture_(n=3),15.80,3.46,0.00,1.55,19.95,57.67,0.26,0.00,0.00,0.00,1.07,0.24
    LBA_Karasuk_culture_(n=7),15.10,23.27,0.00,0.00,10.87,40.85,0.92,0.01,0.00,8.54,0.02,0.42
    LBA_South_Siberia_(n=4),8.54,20.93,0.00,0.26,17.73,44.02,0.23,0.00,0.53,6.12,1.29,0.36
    LBA_Srubna_culture_(n=27),18.44,2.39,0.16,0.24,19.92,53.42,1.13,0.31,0.05,0.03,3.40,0.52
    Baltic_Bronze_Age_(n=12),2.62,0.66,0.24,0.36,15.25,74.50,1.04,0.56,0.03,0.00,3.86,0.88
    Bronze_Age_Estonia_(n=16),2.02,2.00,0.48,0.23,14.95,74.85,0.57,0.60,0.05,0.25,2.92,1.08
    Bronze_Age_Kola_peninsula_(n=6),7.02,38.04,0.00,0.60,0.00,44.58,1.85,0.08,0.00,7.38,0.00,0.45
    Iron_Age_Iberia_(n=22),3.02,0.85,2.28,0.28,54.07,27.53,0.82,0.19,2.53,0.23,7.39,0.80
    Late_Bronze_Age_Israel_(n=3),8.72,0.00,5.40,0.18,11.54,3.12,0.00,0.17,27.17,0.00,43.57,0.13
    Iron_Age_Armenia_(n=7),22.61,0.21,0.28,0.19,10.41,22.97,0.05,0.00,5.13,0.00,37.60,0.54
    Iron_Age_&_Hellenistic_Egypt_(n=3),0.89,0.27,8.95,0.32,14.51,0.00,0.11,6.41,32.82,0.02,35.69,0.00
    Italian_Greeks_(n=2),6.88,0.00,3.78,0.50,27.23,11.24,0.00,0.22,13.20,0.00,36.92,0.01
    Etruscans_(n=48),2.01,0.17,2.58,0.31,45.20,23.06,0.24,0.22,5.97,0.26,19.55,0.45
    Villanovans_(n=2),3.29,0.99,2.09,0.00,41.12,24.06,0.00,0.00,5.45,0.00,22.68,0.20
    Latins_(n=4),3.10,0.41,1.38,0.20,47.83,24.48,0.40,0.04,2.68,0.00,19.26,0.25
    Imperial-age_Latium_(East_Med_immigrants)_(n=46),8.39,0.14,3.33,0.21,24.69,8.66,0.26,0.54,14.86,0.14,38.36,0.43
    Imperial-age_Tuscany_(n=4),5.52,0.55,4.06,0.49,31.41,12.42,0.53,0.44,12.56,0.01,31.84,0.19
    Imperial-age_Marche_(n=2),8.03,0.24,2.22,0.79,30.54,15.60,0.00,0.00,10.52,0.00,32.08,0.00
    Hallstatt_Celts_(n=2),3.82,0.22,1.23,0.15,40.78,38.12,0.11,0.08,2.97,0.57,11.39,0.72
    La_Tène_Celts_(n=55),5.92,0.45,0.68,0.30,37.25,40.41,0.36,0.19,2.21,0.11,11.34,0.79
    Iron_Age_Southern_Gaul_(n=8),4.46,0.56,0.60,0.48,46.76,34.42,0.56,0.00,2.77,0.60,7.92,0.87
    Iron_Age_Northeastern_Gaul_(n=24),5.54,0.52,1.38,0.27,39.55,38.38,0.62,0.26,2.40,0.16,10.41,0.48
    Iron_Age_Northern_Gaul_(n=2),8.25,0.00,0.00,0.00,42.61,37.76,1.35,0.00,1.46,0.00,7.47,1.11
    Early_Iron_Age_Hungary_(n=9),3.07,0.42,0.95,0.36,35.99,38.43,0.17,0.13,4.67,0.01,15.15,0.64
    Early_Iron_Age_Slovenia_(n=10),4.49,0.44,1.04,0.12,41.51,31.28,0.21,0.04,3.48,0.00,16.87,0.53
    Early_Iron_Age_Croatia_(n=9),5.61,0.12,0.74,0.35,39.91,26.99,0.48,0.17,4.35,0.12,20.80,0.36
    Iron_Age_Netherlands_(n=5),9.86,0.36,0.12,0.38,33.68,46.58,1.41,0.24,0.43,0.02,6.70,0.22
    Early_Iron_Age_Britain_(n=37),8.98,0.52,0.35,0.34,40.52,41.38,0.54,0.31,0.52,0.17,5.51,0.85
    Iron_Age_Britain_(n=4),10.07,0.43,1.14,0.30,39.11,42.94,0.34,0.00,0.20,0.00,4.64,0.84
    Iron_Age_Denmark_(n=10),7.60,0.60,0.79,0.41,35.30,48.67,0.38,0.59,1.07,0.43,2.72,1.44
    Iron_Age_Norway_(n=6),8.85,3.18,0.16,0.05,29.31,52.73,0.40,0.15,0.03,0.48,3.26,1.44
    Iron_Age_Sweden_(n=4),8.70,1.18,0.81,0.26,33.18,50.44,0.49,0.72,1.49,0.00,0.60,2.13
    Iron_Age_Estonia_(n=8),2.71,1.76,0.24,0.18,17.89,69.33,0.89,0.36,1.05,0.11,4.48,1.00
    Iron_Age_Finland_(n=3),5.23,16.18,0.26,0.71,20.26,53.58,1.39,0.31,0.00,1.92,0.01,0.16
    Cimmerians_(n=6),17.57,9.28,0.00,1.02,15.41,38.52,1.99,0.30,0.79,4.21,10.27,0.64
    Western_Scythians_(n=28),11.10,4.19,1.03,0.96,23.28,33.27,0.97,0.60,3.60,2.63,17.68,0.71
    Eastern_Scythians_(n=12),18.04,18.04,0.02,2.33,6.00,31.64,3.25,0.36,0.71,13.47,5.47,0.68
    Sarmatians_(n=14),23.82,8.10,0.15,0.26,11.53,41.41,2.40,0.29,0.18,2.22,8.97,0.67
    Tian_Shan_Saka_(n=5),25.93,13.09,0.11,0.35,9.74,35.07,1.32,0.00,0.00,7.80,7.67,0.92
    Late_Antiquity_Latium_(n=24),6.54,0.21,3.14,0.20,32.52,17.92,0.30,0.46,10.05,0.10,28.33,0.25
    Early_Medieval_Latium_(n=5),4.21,0.19,2.29,0.19,34.59,19.45,0.61,0.43,9.88,0.18,27.42,0.55
    Late_Medieval_Latium_(n=16),6.43,0.27,1.77,0.21,33.12,24.00,0.33,0.38,8.11,0.25,24.71,0.42
    6th-century_Piedmont_(Italians_only)_(n=7),7.98,0.21,2.80,0.84,29.83,14.91,0.61,0.47,9.99,2.32,29.77,0.27
    6th-century_Piedmont_(Italians_&_Lombards)_(n=24),7.80,0.47,1.40,0.44,33.46,32.13,0.37,0.52,4.87,0.75,17.44,0.35
    Medieval_Tuscany_(n=10),5.72,0.06,2.04,0.37,32.59,18.68,0.31,0.20,9.94,0.14,29.46,0.50
    Medieval_Basilicata_(n=10),7.02,0.71,4.29,0.40,29.74,15.35,0.31,0.48,11.15,1.22,28.76,0.56
    Medieval_Foggia_Apulia_(n=5),5.89,0.56,3.82,0.49,27.97,19.28,0.19,0.47,10.48,0.34,29.06,1.44
    Roman_Britain_(n=8),10.24,0.15,0.85,0.14,37.33,43.76,0.44,0.23,0.33,0.17,5.38,0.97
    Roman_&_Visigothic_Iberia_(n=31),4.55,0.46,6.37,0.25,39.07,23.34,1.00,0.89,7.10,0.33,15.47,1.17
    Early_Medieval_Canaries_(n=5),0.00,0.66,30.29,0.56,25.07,2.26,1.09,8.87,15.17,0.20,10.19,5.65
    Medieval_Catalonia_Valencia_(n=9),4.57,0.27,4.62,0.16,41.22,26.09,0.68,0.75,5.75,0.55,14.51,0.83
    Medieval_Andalusia_(n=14),3.62,0.24,8.84,0.29,33.69,15.78,0.81,3.06,10.12,0.54,15.98,7.02
    Suebi_Alemmani_(n=20),8.36,0.62,0.93,0.34,32.06,44.48,0.20,0.31,1.20,0.40,5.05,1.06
    Anglo-Saxons_(n=4),10.72,0.33,0.41,0.18,37.05,47.56,0.20,0.21,0.24,0.13,2.28,0.72
    Lombards_(n=28),8.38,0.38,0.30,0.17,35.03,46.38,0.35,0.23,1.05,0.06,7.26,0.42
    Chernyakhiv_culture_Goths_(n=3),9.95,0.37,0.86,0.95,31.29,45.56,0.72,0.32,1.25,0.00,8.38,0.35
    Ostrogoths_(n=3),7.92,2.51,1.82,1.28,29.31,39.14,0.73,0.09,0.86,1.73,13.41,1.21
    Danish_Vikings_(n=21),7.02,0.56,0.63,0.26,34.29,45.62,0.62,0.45,1.47,0.21,7.80,1.07
    Swedish_Vikings_(n=23),6.50,1.09,0.51,0.68,31.07,51.68,0.75,0.43,0.28,0.39,5.16,1.46
    Vikings_from_England_(n=28),8.40,0.72,0.57,0.71,35.30,46.60,0.31,0.30,0.91,0.11,4.17,1.91
    Vikings_from_Poland_(n=9),4.35,0.31,0.69,0.38,27.39,55.13,0.42,0.34,0.82,0.21,8.68,1.28
    Vikings_from_Russia_(n=15),5.28,1.54,0.22,0.56,27.39,53.31,0.70,0.81,1.57,0.80,6.76,1.07
    Vikings_from_Ukraine_(n=4),4.39,1.94,0.57,0.64,26.14,53.36,0.10,0.10,0.98,0.22,9.95,1.63
    Caucasian_Alans_(n=2),20.70,2.23,0.10,0.00,10.37,24.33,0.07,0.00,3.64,0.00,38.14,0.42
    Avars_(n=2),4.96,1.09,0.11,0.00,24.45,55.08,0.69,0.34,1.38,0.00,11.68,0.23
    Early_Medieval_Czechs_(n=2),0.92,0.00,0.27,0.00,27.17,65.15,0.00,0.00,0.19,0.00,6.29,0.03
    Medieval_Estonia_(n=7),3.28,1.99,0.62,1.64,21.55,65.31,0.45,0.39,0.82,0.17,3.06,0.72
    Iron_Age_Kangju_(n=4),25.75,6.42,0.00,0.16,13.08,34.22,1.63,0.00,0.21,2.41,14.45,1.69
    Tian_Shan_Huns_(n=8),20.94,17.16,0.00,0.18,8.64,32.97,1.72,0.04,0.00,13.49,4.10,0.76
    Mongolian_Xiongnu_(n=5),8.74,15.47,0.12,12.81,2.00,11.56,1.38,0.00,0.11,46.40,0.08,1.31
    Iron_Age_Altai_(n=5),14.62,23.01,0.13,2.97,7.58,34.88,0.33,0.00,0.00,13.80,2.40,0.30
    Medieval_Steppe_Turks_(n=2),15.51,14.66,0.19,2.02,12.43,27.26,0.00,0.00,0.00,22.40,5.20,0.34
    I recommend using the 2WAY function as it takes into account blends of populations. I tested it with modern individuals with parents from different countries and is worked perfectly (exactly 50%-50% from each parent's country). It is a bit slow to calculate though.
    FYI, here is where you can find the 2way calculator:

    https://www.eupedia.com/forum/thread...lator-include)

  17. #442
    Advisor Jovialis's Avatar
    Join Date
    04-05-17
    Posts
    6,810

    Y-DNA haplogroup
    R1b1a1b2a2a
    MtDNA haplogroup
    H6a1b7

    Ethnic group
    Italian
    Country: United States



    2 members found this post helpful.
    Using only Bronze Age samples.

    Distance to: Dodecad_K12b-Jovialis
    2.00544645 70.80% Minoan_Greece_(n=10) + 29.20% Yamna_culture_(n=16)
    2.04235344 71.00% Minoan_Greece_(n=10) + 29.00% EMBA_Catacomb_culture_(n=4)
    2.37520675 32.80% Chalcolithic_Azerbaijan_(n=4) + 67.20% Bronze_Age_Illyrians
    2.42709185 54.20% Chalcolithic_Anatolia_(n=35) + 45.80% Early_Bronze_Age_Swabia_(n=24)
    2.50342605 25.80% Khvalynsk_culture_(n=3) + 74.20% Minoan_Greece_(n=10)
    2.53284558 34.40% Middle-Late_Bronze_Age_North_Levant_(n=24) + 65.60% Bronze_Age_Illyrians
    2.60375510 69.40% Minoan_Greece_(n=10) + 30.60% Middle_Bronze_Age_North_Caucasus_(n=7)
    2.73787465 82.20% EMBA_Greece_(n=6) + 17.80% EMBA_Catacomb_culture_(n=4)
    2.76889216 51.40% Chalcolithic_Anatolia_(n=35) + 48.60% Middle_Bronze_Age_North_Alps_(n=7)
    2.79392482 81.00% EMBA_Greece_(n=6) + 19.00% Middle_Bronze_Age_North_Caucasus_(n=7)
    2.80296317 18.20% Chalcolithic_Pontic_Steppe_(n=3) + 81.80% EMBA_Greece_(n=6)
    2.80730194 82.00% EMBA_Greece_(n=6) + 18.00% Yamna_culture_(n=16)
    2.84706004 71.40% Early_Neolithic_Anatolia_(n=20) + 28.60% Yamna_culture_(n=16)
    2.91178378 71.60% Early_Neolithic_Anatolia_(n=20) + 28.40% EMBA_Catacomb_culture_(n=4)
    2.93941825 45.80% Chalcolithic_Anatolia_(n=35) + 54.20% Bell_Beaker_Hungary_(n=6)
    2.99723469 69.80% Minoan_Greece_(n=10) + 30.20% EMBA_Poltavka_culture_(n=8)
    3.02985169 78.00% Mycenaean_Greece_(n=4) + 22.00% Middle_Bronze_Age_North_Caucasus_(n=7)
    3.03979059 48.80% Early_Bronze_Age_Anatolia_(n=4) + 51.20% Middle_Bronze_Age_North_Alps_(n=7)
    3.13747219 68.80% Early_Neolithic_Greece_(n=3) + 31.20% Middle_Bronze_Age_North_Caucasus_(n=7)
    3.19929524 81.20% EMBA_Greece_(n=6) + 18.80% EMBA_Poltavka_culture_(n=8)
    3.27370019 51.20% Chalcolithic_Anatolia_(n=35) + 48.80% Bell_Beaker_Poland_(n=6)
    3.27604075 70.40% Early_Neolithic_Anatolia_(n=20) + 29.60% EMBA_Poltavka_culture_(n=8)
    3.29142082 70.00% Early_Neolithic_Anatolia_(n=20) + 30.00% Middle_Bronze_Age_North_Caucasus_(n=7)
    3.29847827 28.20% CA_Afanasievo_culture_(n=5) + 71.80% Minoan_Greece_(n=10)
    3.33148807 20.60% EMBA_Catacomb_culture_(n=4) + 79.40% Mycenaean_Greece_(n=4)


    Works just the same

  18. #443
    Regular Member torzio's Avatar
    Join Date
    10-05-19
    Location
    Australia
    Posts
    2,850

    Y-DNA haplogroup
    T1a2 - SK1480
    MtDNA haplogroup
    H95a1

    Ethnic group
    North Italian
    Country: Australia



    1 members found this post helpful.
    Distance to: Torziok12b
    0.96235572 30.80% Middle_Bronze_Age_North_Alps_(n=7) + 69.20% Late_Medieval_Latium_(n=16)
    1.03584430 46.60% Imperial-age_Marche_(n=2) + 53.40% Iron_Age_Northeastern_Gaul_(n=24)
    1.12359820 25.40% Iron_Age_Northern_Gaul_(n=2) + 74.60% Late_Medieval_Latium_(n=16)
    1.19812924 38.40% Early_Iron_Age_Britain_(n=37) + 61.60% Medieval_Tuscany_(n=10)
    1.21708578 40.40% Minoan_Greece_(n=10) + 59.60% Iron_Age_Netherlands_(n=5)
    1.28275078 26.00% Early_Bronze_Age_Swabia_(n=24) + 74.00% Late_Medieval_Latium_(n=16)
    1.28723505 48.60% Bell_Beaker_Poland_(n=6) + 51.40% Medieval_Tuscany_(n=10)
    1.29338977 51.40% MBA_Tumulus_culture_(n=4) + 48.60% Imperial-age_Marche_(n=2)
    1.32009497 67.80% Bell_Beaker_Gaul_(n=13) + 32.20% Middle_Bronze_Age_Anatolia_(n=2)
    1.32106066 40.80% Bronze_Age_Germany_(n=26) + 59.20% Medieval_Tuscany_(n=10)
    1.32271482 38.60% Minoan_Greece_(n=10) + 61.40% Chernyakhiv_culture_Goths_(n=3)
    1.33298971 36.80% Iron_Age_Britain_(n=4) + 63.20% Medieval_Tuscany_(n=10)
    1.37605878 22.40% Early_Iron_Age_Britain_(n=37) + 77.60% Late_Medieval_Latium_(n=16)
    1.42057771 30.40% Bell_Beaker_Poland_(n=6) + 69.60% Late_Medieval_Latium_(n=16)
    1.42644518 64.20% Middle_Bronze_Age_North_Alps_(n=7) + 35.80% Italian_Greeks_(n=2)
    1.43970424 47.00% Minoan_Greece_(n=10) + 53.00% Battle-Axe_culture_(n=3)
    1.44246180 28.60% Iron_Age_Northeastern_Gaul_(n=24) + 71.40% Late_Medieval_Latium_(n=16)
    1.54670488 46.20% Imperial-age_Marche_(n=2) + 53.80% Hallstatt_Celts_(n=2)
    1.55218859 52.80% Pre-Pottery_Neolithic_Anatolia_(n=14) + 47.20% Western_Corded_Ware_(n=17)
    1.58061234 16.00% Pre-Pottery_Neolithic_Anatolia_(n=14) + 84.00% 6th-century_Piedmont_(Italians_&_Lombards)_(n=24)
    1.60735903 46.20% Iron_Age_Northeastern_Gaul_(n=24) + 53.80% Medieval_Tuscany_(n=10)
    1.61329492 66.40% Early_Medieval_Latium_(n=5) + 33.60% Roman_Britain_(n=8)
    1.62100759 26.80% MBA_Tumulus_culture_(n=4) + 73.20% Late_Medieval_Latium_(n=16)
    1.62339551 14.60% Early_Neolithic_Greece_(n=3) + 85.40% 6th-century_Piedmont_(Italians_&_Lombards)_(n=24)
    1.63696416 54.20% Bronze_Age_Illyrians + 45.80% 6th-century_Piedmont_(Italians_&_Lombards)_(n=24)


    Distance to: Torziok12b
    4.93252471 Early_Iron_Age_Croatia_(n=9)
    5.32530750 Bronze_Age_Illyrians
    6.19887086 6th-century_Piedmont_(Italians_&_Lombards)_(n=24)
    6.46840011 Late_Medieval_Latium_(n=16)
    7.93611996 Villanovans_(n=2)
    8.63517805 Early_Iron_Age_Slovenia_(n=10)
    8.83276287 Bell_Beaker_Hungary_(n=6)
    9.58380926 Medieval_Catalonia_Valencia_(n=9)
    9.76980041 Roman_&_Visigothic_Iberia_(n=31)
    11.13904394 Early_Bronze_Age_Serbia_(n=23)
    11.79564750 Early_Medieval_Latium_(n=5)
    11.90092433 Etruscans_(n=48)
    12.70354675 Early_Iron_Age_Hungary_(n=9)
    13.59802927 Late_Antiquity_Latium_(n=24)
    13.63916053 Medieval_Tuscany_(n=10)
    13.72095113 Latins_(n=4)
    14.38534671 Middle_Bronze_Age_North_Alps_(n=7)
    14.46272104 Bell_Beaker_Poland_(n=6)
    15.18951941 Medieval_Foggia_Apulia_(n=5)
    15.49905158 Hallstatt_Celts_(n=2)
    15.64978594 Western_Scythians_(n=28)
    15.81361755 Iron_Age_Northeastern_Gaul_(n=24)
    16.26212471 Ostrogoths_(n=3)
    16.33994186 La_Tène_Celts_(n=55)
    17.09693832 MBA_Tumulus_culture_(n=4)
    Fathers mtdna ...... T2b17
    Grandfather mtdna ... T1a1e
    Sons mtdna ...... K1a4p
    Mothers line ..... R1b-S8172
    Grandmother paternal side ... I1-CTS6397
    Wife paternal line ..... R1a-PF6155

  19. #444
    Junior Member
    Join Date
    05-03-22
    Posts
    5

    Y-DNA haplogroup
    R-L151
    MtDNA haplogroup
    L2a1c1

    Ethnic group
    Iberian + (West African + Bantu)
    Country: Brazil



    1 members found this post helpful.
    I am halph portuguese (probably colonial), but my results show mostly Etruscan/Villanovan or Latin, maybe some italian ancestor that I didn't know yet?

    2way

    Distance to: ωάννης-Γαβριήλ
    4.54852529 51.60% Etruscans_(n=48) + 48.40% Bantu_S.E._Pedi
    4.55436666 52.20% Etruscans_(n=48) + 47.80% Bantu_S.E._Zulu
    4.56158453 51.60% Etruscans_(n=48) + 48.40% Bantu_S.E._Tswana
    4.58602812 52.40% Etruscans_(n=48) + 47.60% Bantu_S.E._S.Sotho
    4.68042151 52.60% Villanovans_(n=2) + 47.40% Bantu_S.E._Zulu
    4.70127778 52.60% Villanovans_(n=2) + 47.40% Bantu_S.E._S.Sotho
    4.71508962 52.00% Villanovans_(n=2) + 48.00% Bantu_S.E._Pedi
    4.73325425 51.80% Villanovans_(n=2) + 48.20% Bantu_S.E._Tswana
    4.77965870 52.80% Etruscans_(n=48) + 47.20% Bantu_S.W._Herero
    4.80024043 51.00% Latins_(n=4) + 49.00% Bantu_S.E._Pedi
    4.80106957 50.80% Latins_(n=4) + 49.20% Bantu_S.E._Tswana
    4.80469046 54.60% Roman_&_Visigothic_Iberia_(n=31) + 45.40% Bantu_S.W._Herero
    4.81005034 54.20% Roman_&_Visigothic_Iberia_(n=31) + 45.80% Bantu_S.E._S.Sotho
    4.83310017 54.00% Roman_&_Visigothic_Iberia_(n=31) + 46.00% Bantu_S.E._Zulu
    4.85482927 53.20% Villanovans_(n=2) + 46.80% Bantu_S.W._Herero
    4.90338229 51.40% Latins_(n=4) + 48.60% Bantu_S.E._Zulu
    4.95554914 51.60% Latins_(n=4) + 48.40% Bantu_S.E._S.Sotho
    5.04105658 53.40% Roman_&_Visigothic_Iberia_(n=31) + 46.60% Bantu_S.E._Pedi
    5.04952013 55.60% Roman_&_Visigothic_Iberia_(n=31) + 44.40% Bantu_S.W._Ovambo
    5.07674704 53.40% Roman_&_Visigothic_Iberia_(n=31) + 46.60% Bantu_S.E._Tswana
    5.21594262 52.20% Latins_(n=4) + 47.80% Bantu_S.W._Herero
    5.30887335 53.40% Medieval_Catalonia_Valencia_(n=9) + 46.60% Bantu_S.E._S.Sotho
    5.31063952 53.20% Medieval_Catalonia_Valencia_(n=9) + 46.80% Bantu_S.E._Zulu
    5.35021428 53.80% Etruscans_(n=48) + 46.20% Bantu_S.W._Ovambo
    5.36107231 54.00% Villanovans_(n=2) + 46.00% Bantu_S.W._Ovambo


    7way



    Target: Dodecad_K12b_ΙωάννηςΓαβριήλ
    Distance: 0.6961% / 0.69608470
    45.5 Bantu_S.W._Herero
    38.9 Latins_(n=4)
    5.4 Bell_Beaker_Iberia_(n=11)
    3.4 Epipaleolithic_Magreb_(Iberomaurusians)_(n=5)
    3.1 Chalcolithic_Northwest_Caucasus_(n=3)
    2.4 Amerindian_Proxy
    0.9 Bhunjia
    0.4 Epipaleolithic_Mesolithic_Caucasus_(CHG)_(n=2)
    Last edited by Ιωάννης Γαβριήλ; 24-04-22 at 00:34.

  20. #445
    Regular Member
    Join Date
    10-05-19
    Posts
    1,245

    Y-DNA haplogroup
    I2-M223
    MtDNA haplogroup
    H2A3

    Ethnic group
    Italian-Sicily-South
    Country: United States



    2 members found this post helpful.
    2-Way models: Tried to break them down by era (Mesolithic, Neolithic, Chaclolithic to Early Bronze Age, Middle to Late Bronze Age, Iron Age) and then use all samples for all periods. Thanks again for the work of the team that put these together.

    Mesolithic Samples only. Not great, but not surprising. However, Anatolian HG and Caucus HG produces best model which is in line with these 2 populations merging/admixing to produce the Neolithic EEF populations (which studies have shown).

    Distance to: PalermoTrapani_ANCESTRY
    16.92076759 65.80% Mesolithic_Anatolia_(AHG)_(n=1) + 34.20% Epipaleolithic_Mesolithic_Caucasus_(CHG)_(n=2)
    19.12197887 75.80% Mesolithic_Anatolia_(AHG)_(n=1) + 24.20% Mesolithic_Volga-Ural_(n=2)
    19.71756214 77.20% Mesolithic_Anatolia_(AHG)_(n=1) + 22.80% Late_Mesolithic_Comb_Ceramic_culture_(n=2)
    19.80145191 76.60% Mesolithic_Anatolia_(AHG)_(n=1) + 23.40% Mesolithic_Northwest_Russia_(n=4)
    21.48763634 77.40% Mesolithic_Anatolia_(AHG)_(n=1) + 22.60% Mesolithic_Ukraine_(n=7)

    Neolithic Samples only, top 5 models. EEF as major source ancestry strongly suggested, consistent with extant DNA studies on modern Italian populations.

    Distance to: PalermoTrapani_ANCESTRY
    7.81877985 81.60% Early_Neolithic_Anatolia_(n=20) + 18.40% Neolithic_Ukraine_(n=12)
    8.07850194 80.80% Early_Neolithic_Anatolia_(n=20) + 19.20% Neolithic_Latvia_(n=4)
    8.40909970 81.00% Early_Neolithic_Anatolia_(n=20) + 19.00% Neolithic_Lithuania_Narva_culture_(n=4)
    10.02627836 81.00% Early_Neolithic_Greece_(n=3) + 19.00% Neolithic_Ukraine_(n=12)
    10.33821238 80.20% Early_Neolithic_Greece_(n=3) + 19.80% Neolithic_Latvia_(n=4)

    Chalcolithic to Early Bronze Age top 5

    Distance to: PalermoTrapani_ANCESTRY
    3.42106223 21.60% Khvalynsk_culture_(n=3) + 78.40% Minoan_Greece_(n=10)
    3.57771697 75.60% Minoan_Greece_(n=10) + 24.40% Yamna_culture_(n=16)
    3.60778918 75.80% Minoan_Greece_(n=10) + 24.20% EMBA_Catacomb_culture_(n=4)
    3.68748763 46.60% Early_Bronze_Age_Southern_France_(n=5) + 53.40% Early-Middle_Bronze_Age_North_Levant_(n=9)
    3.75921714 45.60% Early_Bronze_Age_Iberia_(n=7) + 54.40% Early_Bronze_Age_Anatolia_(n=4)

    Middle to Late Bronze Age

    Distance to: PalermoTrapani_ANCESTRY
    2.70447196 58.00% Middle-Late_Bronze_Age_North_Levant_(n=24) + 42.00% Middle-Late_Bronze_Age_Spain_(n=38)
    3.05115198 58.40% Middle-Late_Bronze_Age_North_Levant_(n=24) + 41.60% Iron_Age_Iberia_(n=22)
    3.74448160 58.40% Middle-Late_Bronze_Age_North_Levant_(n=24) + 41.60% Middle_Bronze_Age_Portugal_(n=4)
    4.16459894 49.20% Middle-Late_Bronze_Age_North_Levant_(n=24) + 50.80% Middle_Late_Bronze_Age_Italy_(n=9)
    4.59566440 62.80% Bronze_Age_Illyrians + 37.20% Late_Bronze_Age_Israel_(n=3)

    Top 5 Models using Iron Ag to Imperial Romane samples

    Distance to: PalermoTrapani_ANCESTRY
    1.44456915 5.40% Iron_Age_Armenia_(n=7) + 94.60% Imperial-age_Tuscany_(n=4)
    1.46581884 67.20% Imperial-age_Tuscany_(n=4) + 32.80% Imperial-age_Marche_(n=2)
    1.79826984 31.60% Etruscans_(n=48) + 68.40% Imperial-age_Latium_(East_Med_immigrants)_(n=46)
    1.84167821 98.20% Imperial-age_Tuscany_(n=4) + 1.80% Iron_Age_Estonia_(n=8)
    1.87441818 97.80% Imperial-age_Tuscany_(n=4) + 2.20% Iron_Age_Norway_(n=6)

    Top 25 2-way models using all the coordinates in Jovialis post #441
    Distance to: PalermoTrapani_ANCESTRY
    1.20964158 3.00% Chalcolithic_Pontic_Steppe_(n=3) + 97.00% Imperial-age_Tuscany_(n=4)
    1.27407695 12.60% Pre-Pottery_Neolithic_Levant_(n=15) + 87.40% Imperial-age_Marche_(n=2)
    1.27734625 3.00% Middle_Bronze_Age_North_Caucasus_(n=7) + 97.00% Imperial-age_Tuscany_(n=4)
    1.31703669 2.80% EMBA_Catacomb_culture_(n=4) + 97.20% Imperial-age_Tuscany_(n=4)
    1.34387372 2.80% Yamna_culture_(n=16) + 97.20% Imperial-age_Tuscany_(n=4)
    1.42475836 2.80% EMBA_Poltavka_culture_(n=8) + 97.20% Imperial-age_Tuscany_(n=4)
    1.42902871 96.00% Imperial-age_Tuscany_(n=4) + 4.00% Iron_Age_Kangju_(n=4)
    1.43246937 2.60% CA_Afanasievo_culture_(n=5) + 97.40% Imperial-age_Tuscany_(n=4)
    1.43397478 2.20% Khvalynsk_culture_(n=3) + 97.80% Imperial-age_Tuscany_(n=4)
    1.44456915 5.40% Iron_Age_Armenia_(n=7) + 94.60% Imperial-age_Tuscany_(n=4)
    1.46581884 67.20% Imperial-age_Tuscany_(n=4) + 32.80% Imperial-age_Marche_(n=2)
    1.50050107 70.20% Imperial-age_Latium_(East_Med_immigrants)_(n=46) + 29.80% Medieval_Catalonia_Valencia_(n=9)
    1.50685742 96.60% Imperial-age_Tuscany_(n=4) + 3.40% Sarmatians_(n=14)
    1.54567948 94.80% Imperial-age_Tuscany_(n=4) + 5.20% Caucasian_Alans_(n=2)
    1.55653480 45.60% Middle-Late_Bronze_Age_North_Levant_(n=24) + 54.40% Etruscans_(n=48)
    1.56983493 3.80% Late_Bronze_Age_North_Caucasus_(n=4) + 96.20% Imperial-age_Tuscany_(n=4)
    1.57372734 4.20% Maykop_culture_(n=16) + 95.80% Imperial-age_Tuscany_(n=4)
    1.58938433 21.60% Iron_Age_Iberia_(n=22) + 78.40% Imperial-age_Latium_(East_Med_immigrants)_(n=46)
    1.60463230 2.80% LBA_Srubna_culture_(n=27) + 97.20% Imperial-age_Tuscany_(n=4)
    1.61313556 96.80% Imperial-age_Tuscany_(n=4) + 3.20% Tian_Shan_Saka_(n=5)
    1.62189931 2.60% Eastern_Corded_Ware_(n=14) + 97.40% Imperial-age_Tuscany_(n=4)
    1.62473465 76.60% Italian_Greeks_(n=2) + 23.40% Roman_&_Visigothic_Iberia_(n=31)
    1.63780477 71.40% Imperial-age_Tuscany_(n=4) + 28.60% Medieval_Basilicata_(n=10)
    1.65056517 74.40% Imperial-age_Tuscany_(n=4) + 25.60% 6th-century_Piedmont_(Italians_only)_(n=7)
    1.65924733 96.60% Imperial-age_Tuscany_(n=4) + 3.40% Cimmerians_(n=6)
    Last edited by Palermo Trapani; 21-04-22 at 16:59.

  21. #446
    Regular Member
    Join Date
    19-01-18
    Posts
    180

    Y-DNA haplogroup
    I1a
    MtDNA haplogroup
    H5a1a

    Ethnic group
    Germanic
    Country: Germany - Niedersachsen



    1 members found this post helpful.
    Some additional ones to test. Problem: The forum software creates empty spaces where there are none. If i copy the values into Vahaduo from text editor no problem, but i cannot post them here without the apperance of random empty spaces. Those empty spaces do not appear in "Your Message". Only when I do a post. Any idea how to fix?

    Afontova_Gora,25.27,13.04,0.00,0.00,0.00,55.40,6.2 9,0.00,0.00,0.00,0.00,0.00
    Early_Eastern_Fertile_Crescent_Neolithic,68.14,0.0 0,0.00,0.00,0.00,0.00,7.92,0.00,4.29,0.00,17.00,2. 65
    Goyet,2.24,3.18,0.64,5.78,28.30,27.54,21.56,2.23,3 .27,3.43,0.00,1.82
    Grotte_du_Bichon,0.00,0.00,0.00,0.84,32.06,66.64,0 .00,0.00,0.00,0.00,0.00,0.47
    Baalberg,0.00,0.00,3.00,0.00,62.52,10.97,0.00,0.00 ,11.45,0.00,12.07,0.00
    Neolithic_Balkans,0.00,0.00,1.66,0.00,53.42,0.00,0 .00,0.00,10.71,0.03,33.98,0.19
    Latvia_HG,0.00,0.98,0.00,0.51,16.29,81.78,0.00,0.0 0,0.00,0.00,0.00,0.43
    Cardial_Pottery,0.00,0.00,1.67,0.00,58.53,0.79,0.0 0,0.00,12.50,0.00,26.36,0.16
    Cheddar_Man,0.00,1.11,0.00,0.00,17.46,81.43,0.00,0 .00,0.00,0.00,0.00,0.00
    Late_Neolithic_Denmark,9.45,1.97,1.42,0.00,30.49,4 8.33,0.25,1.44,0.00,0.00,5.35,1.30
    Egyptian_Mummies,0.41,1.02,9.59,0.00,11.77,0.00,0. 03,4.45,35.25,0.09,37.40,0.00
    EHG,8.50,9.38,0.00,0.00,0.00,80.92,1.12,0.00,0.00, 0.00,0.00,0.07
    El-Miron,0.00,0.68,0.00,7.41,33.07,51.03,6.77,0.00,0. 00,0.03,0.00,1.00
    Ertebölle,0.00,0.00,0.00,0.10,26.32,72.16,0.00,1. 41,0.00,0.00,0.00,0.00
    Mesolithic_France,0.00,0.00,0.00,0.46,32.83,65.70, 0.00,0.00,0.00,0.00,0.00,1.00
    Funnel_Beaker,0.00,0.00,0.00,0.05,65.01,29.49,0.00 ,0.00,4.95,0.00,0.46,0.05
    Gravettian_Krems,0.00,1.95,1.30,4.56,32.75,40.21,1 3.34,2.27,1.16,2.47,0.00,0.00
    Guanches,0.00,0.00,30.22,0.58,27.08,1.47,0.98,7.59 ,16.84,0.00,10.32,4.92
    Hungary_HG,0.00,0.00,0.00,0.00,2.65,77.20,0.15,0.0 0,0.00,0.00,0.00,0.00
    Neolithic_Ireland,0.00,0.00,1.41,0.00,70.60,13.81, 0.00,0.00,7.10,0.00,6.92,0.15
    Mesolithic_Italy,0.00,0.00,0.00,0.00,38.35,61.46,0 .19,0.00,0.00,0.00,0.00,0.00
    Karanovo,0.00,0.00,0.04,0.00,50.83,2.12,0.00,0.00, 13.86,0.00,32.09,1.05
    Kostenki,12.23,3.47,1.12,6.56,21.17,29.82,15.91,2. 90,5.25,0.00,0.00,1.56
    Kumsay,35.55,12.52,0.00,0.00,0.00,47.93,3.76,0.00, 0.00,0.00,0.00,0.25
    La-Brana,0.00,0.00,0.00,13.10,33.06,53.84,0.00,0.00,0 .00,0.00,0.00,0.00
    Lengynel,0.00,0.00,0.10,0.00,51.06,46.64,0.00,0.00 ,0.26,0.00,0.00,1.94
    Western_Linear_Pottery,0.00,0.00,2.02,0.00,53.23,0 .00,0.00,0.00,11.42,0.12,33.21,0.00
    Loschbour,0.00,0.00,0.00,0.00,28.51,70.71,0.78,0.0 0,0.00,0.00,0.00,0.00
    Maglemose,0.00,0.00,0.00,0.00,13.69,85.17,0.00,0.0 0,0.00,0.55,0.00,0.59
    Maikop,25.08,0.00,0.00,0.00,2.72,9.36,0.00,0.00,5. 40,0.00,57.44,0.00
    Mal_Ta_Buret,25.71,14.00,0.00,0.00,0.00,46.87,13.2 8,0.00,0.00,0.00,0.00,0.13
    Neolithic_Atlantic,0.00,0.23,3.13,0.12,73.11,12.44 ,0.04,0.00,6.11,0.00,4.76,0.05
    Neolithic_Scotland,0.00,0.00,3.93,0.00,69.16,14.15 ,0.00,0.00,8.12,0.00,4.64,0.00
    Mesolithic_Germany,0.00,0.00,0.00,0.00,26.12,73.52 ,0.00,0.36,0.00,0.00,0.00,0.00
    Mesolithic_Ireland,0.00,0.00,0.00,0.00,30.41,69.21 ,0.00,0.00,0.00,0.00,0.00,0.38
    Mesolithic_Spain,0.00,0.00,0.00,5.34,33.58,53.32,6 .65,0.00,0.00,0.00,0.00,1.11
    Michelsberg,0.00,0.00,4.34,0.00,64.60,10.52,0.00,0 .00,6.36,0.00,14.18,0.00
    Motala_HG,0.00,2.53,0.00,0.00,7.45,89.61,0.00,0.15 ,0.00,0.00,0.00,0.26
    Neolithic_Cambridgeshire,0.00,0.00,0.00,0.10,79.05 ,10.79,0.00,0.00,6.51,0.00,3.53,0.03
    Norway_HG,0.00,6.43,0.00,0.06,9.61,81.95,0.38,0.00 ,0.00,0.00,0.00,1.58
    Pestera_Muierii,3.55,3.38,3.36,4.58,24.78,30.69,14 .27,3.75,6.14,1.97,0.00,3.08
    Picts,8.36,0.00,0.90,0.00,41.64,45.19,0.00,0.00,0. 00,0.00,3.78,0.13
    Pitted_Ware,0.00,0.63,0.00,1.36,29.63,67.63,0.00,0 .00,0.00,0.00,0.00,0.75
    Potapovka,21.11,1.60,0.00,0.00,14.99,54.24,0.25,0. 00,0.00,0.00,7.31,0.51
    Rössen,0.00,0.00,3.12,0.53,56.05,9.30,0.00,0.02,1 0.81,0.00,20.17,0.00
    Salkhit_Paleolithic_Mongolia,5.41,11.63,1.12,11.15 ,12.56,12.99,19.47,3.24,2.62,14.59,2.88,2.36
    Shulaveri_Shomu,14.70,0.00,2.36,0.00,14.27,0.00,0. 00,0.00,15.44,0.00,53.23,0.00
    Single_Grave,0.00,0.00,9.11,0.00,31.04,45.30,0.00, 0.00,1.75,0.00,12.80,0.00
    Stroke_Ornament_Pottery,0.00,0.00,5.21,0.00,56.05, 0.79,0.00,0.00,11.42,0.21,25.15,1.18
    Sunghir,6.64,3.44,3.00,7.23,22.00,30.02,17.59,4.62 ,3.22,1.72,0.00,0.51
    Tarim_Mummies,27.95,17.87,0.01,0.00,0.01,48.55,4.8 9,0.00,0.01,0.05,0.01,0.66
    Ust_Ishim,10.02,2.28,2.84,14.35,6.54,7.33,31.06,7. 56,3.21,8.73,0.00,6.10
    Neolithic_Varna,0.00,0.00,1.49,0.00,47.16,10.24,0. 30,0.00,11.49,0.00,29.33,0.00
    Vinca,0.00,0.00,1.29,0.00,53.16,1.33,0.00,0.00,14. 57,0.00,29.38,0.27
    Yana_Paleolithic,10.18,7.37,0.96,8.46,11.00,24.84, 23.03,2.78,2.30,5.13,0.00,3.94
    Zlaty_Kun,14.27,3.00,2.71,9.34,3.56,5.47,29.54,6.7 8,6.78,7.44,4.00,7.10

  22. #447
    Regular Member
    Join Date
    19-01-18
    Posts
    180

    Y-DNA haplogroup
    I1a
    MtDNA haplogroup
    H5a1a

    Ethnic group
    Germanic
    Country: Germany - Niedersachsen



    Ancestry experts, what is the magical thing about the Grotta Continenza?

    Target: Doggerland
    Distance: 0.4751% / 0.47513896
    36.7 Mesolithic_Italy
    27.8 Picts
    6.3 Maikop
    5.0 Epipaleolithic_Mesolithic_Caucasus_(CHG)_(n=2)
    4.9 Early_Bronze_Age_Southern_France_(n=5)
    4.3 Early_Medieval_Czechs_(n=2)
    4.3 Middle-Late_Bronze_Age_Hungary_(n=12)
    3.8 Potapovka
    3.4 MBA_Sintashta_culture_(n=4)
    3.1 Neolithic_Cambridgeshire
    0.4 Funnel_Beaker

    Ancestors of Early Western Steppe population or some kind of weird contamination?

    Even if I do not merge them, they are appearing:

    Target: Doggerland
    Distance: 0.5651% / 0.56507401
    31.4 Picts
    25.7 ItalyMeso1
    13.1 Middle-Late_Bronze_Age_Hungary_(n=12)
    8.3 Early_Bronze_Age_Southern_France_(n=5)
    6.7 MBA_Sintashta_culture_(n=4)
    4.7 Maikop
    4.3 Epipaleolithic_Mesolithic_Caucasus_(CHG)_(n=2)
    2.9 Potapovka
    1.8 Neolithic_Cambridgeshire
    0.8 Early_Medieval_Czechs_(n=2)
    0.3 Funnel_Beaker

    https://www.ebi.ac.uk/ena/browser/view/SAMEA5770191

    https://www.ebi.ac.uk/ena/browser/view/SAMEA5770190

  23. #448
    Advisor Jovialis's Avatar
    Join Date
    04-05-17
    Posts
    6,810

    Y-DNA haplogroup
    R1b1a1b2a2a
    MtDNA haplogroup
    H6a1b7

    Ethnic group
    Italian
    Country: United States



    Quote Originally Posted by Doggerland View Post
    Some additional ones to test. Problem: The forum software creates empty spaces where there are none. If i copy the values into Vahaduo from text editor no problem, but i cannot post them here without the apperance of random empty spaces. Those empty spaces do not appear in "Your Message". Only when I do a post. Any idea how to fix?

    Code:
    Afontova_Gora,25.27,13.04,0.00,0.00,0.00,55.40,6.29,0.00,0.00,0.00,0.00,0.00
    Early_Eastern_Fertile_Crescent_Neolithic,68.14,0.00,0.00,0.00,0.00,0.00,7.92,0.00,4.29,0.00,17.00,2.65
    Goyet,2.24,3.18,0.64,5.78,28.30,27.54,21.56,2.23,3.27,3.43,0.00,1.82
    Grotte_du_Bichon,0.00,0.00,0.00,0.84,32.06,66.64,0.00,0.00,0.00,0.00,0.00,0.47
    Baalberg,0.00,0.00,3.00,0.00,62.52,10.97,0.00,0.00,11.45,0.00,12.07,0.00
    Neolithic_Balkans,0.00,0.00,1.66,0.00,53.42,0.00,0.00,0.00,10.71,0.03,33.98,0.19
    Latvia_HG,0.00,0.98,0.00,0.51,16.29,81.78,0.00,0.00,0.00,0.00,0.00,0.43
    Cardial_Pottery,0.00,0.00,1.67,0.00,58.53,0.79,0.00,0.00,12.50,0.00,26.36,0.16
    Cheddar_Man,0.00,1.11,0.00,0.00,17.46,81.43,0.00,0.00,0.00,0.00,0.00,0.00
    Late_Neolithic_Denmark,9.45,1.97,1.42,0.00,30.49,48.33,0.25,1.44,0.00,0.00,5.35,1.30
    Egyptian_Mummies,0.41,1.02,9.59,0.00,11.77,0.00,0.03,4.45,35.25,0.09,37.40,0.00
    EHG,8.50,9.38,0.00,0.00,0.00,80.92,1.12,0.00,0.00,0.00,0.00,0.07
    El-Miron,0.00,0.68,0.00,7.41,33.07,51.03,6.77,0.00,0.00,0.03,0.00,1.00
    Ertebölle,0.00,0.00,0.00,0.10,26.32,72.16,0.00,1.41,0.00,0.00,0.00,0.00
    Mesolithic_France,0.00,0.00,0.00,0.46,32.83,65.70,0.00,0.00,0.00,0.00,0.00,1.00
    Funnel_Beaker,0.00,0.00,0.00,0.05,65.01,29.49,0.00,0.00,4.95,0.00,0.46,0.05
    Gravettian_Krems,0.00,1.95,1.30,4.56,32.75,40.21,13.34,2.27,1.16,2.47,0.00,0.00
    Guanches,0.00,0.00,30.22,0.58,27.08,1.47,0.98,7.59,16.84,0.00,10.32,4.92
    Hungary_HG,0.00,0.00,0.00,0.00,2.65,77.20,0.15,0.00,0.00,0.00,0.00,0.00
    Neolithic_Ireland,0.00,0.00,1.41,0.00,70.60,13.81,0.00,0.00,7.10,0.00,6.92,0.15
    Mesolithic_Italy,0.00,0.00,0.00,0.00,38.35,61.46,0.19,0.00,0.00,0.00,0.00,0.00
    Karanovo,0.00,0.00,0.04,0.00,50.83,2.12,0.00,0.00,13.86,0.00,32.09,1.05
    Kostenki,12.23,3.47,1.12,6.56,21.17,29.82,15.91,2.90,5.25,0.00,0.00,1.56
    Kumsay,35.55,12.52,0.00,0.00,0.00,47.93,3.76,0.00,0.00,0.00,0.00,0.25
    La-Brana,0.00,0.00,0.00,13.10,33.06,53.84,0.00,0.00,0.00,0.00,0.00,0.00
    Lengynel,0.00,0.00,0.10,0.00,51.06,46.64,0.00,0.00,0.26,0.00,0.00,1.94
    Western_Linear_Pottery,0.00,0.00,2.02,0.00,53.23,0.00,0.00,0.00,11.42,0.12,33.21,0.00
    Loschbour,0.00,0.00,0.00,0.00,28.51,70.71,0.78,0.00,0.00,0.00,0.00,0.00
    Maglemose,0.00,0.00,0.00,0.00,13.69,85.17,0.00,0.00,0.00,0.55,0.00,0.59
    Maikop,25.08,0.00,0.00,0.00,2.72,9.36,0.00,0.00,5.40,0.00,57.44,0.00
    Mal_Ta_Buret,25.71,14.00,0.00,0.00,0.00,46.87,13.28,0.00,0.00,0.00,0.00,0.13
    Neolithic_Atlantic,0.00,0.23,3.13,0.12,73.11,12.44,0.04,0.00,6.11,0.00,4.76,0.05
    Neolithic_Scotland,0.00,0.00,3.93,0.00,69.16,14.15,0.00,0.00,8.12,0.00,4.64,0.00
    Mesolithic_Germany,0.00,0.00,0.00,0.00,26.12,73.52,0.00,0.36,0.00,0.00,0.00,0.00
    Mesolithic_Ireland,0.00,0.00,0.00,0.00,30.41,69.21,0.00,0.00,0.00,0.00,0.00,0.38
    Mesolithic_Spain,0.00,0.00,0.00,5.34,33.58,53.32,6.65,0.00,0.00,0.00,0.00,1.11
    Michelsberg,0.00,0.00,4.34,0.00,64.60,10.52,0.00,0.00,6.36,0.00,14.18,0.00
    Motala_HG,0.00,2.53,0.00,0.00,7.45,89.61,0.00,0.15,0.00,0.00,0.00,0.26
    Neolithic_Cambridgeshire,0.00,0.00,0.00,0.10,79.05,10.79,0.00,0.00,6.51,0.00,3.53,0.03
    Norway_HG,0.00,6.43,0.00,0.06,9.61,81.95,0.38,0.00,0.00,0.00,0.00,1.58
    Pestera_Muierii,3.55,3.38,3.36,4.58,24.78,30.69,14.27,3.75,6.14,1.97,0.00,3.08
    Picts,8.36,0.00,0.90,0.00,41.64,45.19,0.00,0.00,0.00,0.00,3.78,0.13
    Pitted_Ware,0.00,0.63,0.00,1.36,29.63,67.63,0.00,0.00,0.00,0.00,0.00,0.75
    Potapovka,21.11,1.60,0.00,0.00,14.99,54.24,0.25,0.00,0.00,0.00,7.31,0.51
    Rössen,0.00,0.00,3.12,0.53,56.05,9.30,0.00,0.02,10.81,0.00,20.17,0.00
    Salkhit_Paleolithic_Mongolia,5.41,11.63,1.12,11.15,12.56,12.99,19.47,3.24,2.62,14.59,2.88,2.36
    Shulaveri_Shomu,14.70,0.00,2.36,0.00,14.27,0.00,0.00,0.00,15.44,0.00,53.23,0.00
    Single_Grave,0.00,0.00,9.11,0.00,31.04,45.30,0.00,0.00,1.75,0.00,12.80,0.00
    Stroke_Ornament_Pottery,0.00,0.00,5.21,0.00,56.05,0.79,0.00,0.00,11.42,0.21,25.15,1.18
    Sunghir,6.64,3.44,3.00,7.23,22.00,30.02,17.59,4.62,3.22,1.72,0.00,0.51
    Tarim_Mummies,27.95,17.87,0.01,0.00,0.01,48.55,4.89,0.00,0.01,0.05,0.01,0.66
    Ust_Ishim,10.02,2.28,2.84,14.35,6.54,7.33,31.06,7.56,3.21,8.73,0.00,6.10
    Neolithic_Varna,0.00,0.00,1.49,0.00,47.16,10.24,0.30,0.00,11.49,0.00,29.33,0.00
    Vinca,0.00,0.00,1.29,0.00,53.16,1.33,0.00,0.00,14.57,0.00,29.38,0.27
    Yana_Paleolithic,10.18,7.37,0.96,8.46,11.00,24.84,23.03,2.78,2.30,5.13,0.00,3.94
    Zlaty_Kun,14.27,3.00,2.71,9.34,3.56,5.47,29.54,6.78,6.78,7.44,4.00,7.10
    If you go to advanced options, highlight the text and click "code", and it will eliminate the spaces.

  24. #449
    Advisor Jovialis's Avatar
    Join Date
    04-05-17
    Posts
    6,810

    Y-DNA haplogroup
    R1b1a1b2a2a
    MtDNA haplogroup
    H6a1b7

    Ethnic group
    Italian
    Country: United States



    ^^Nice work, btw

    Here is a 3D PCA screen cap of your samples:


  25. #450
    Advisor Jovialis's Avatar
    Join Date
    04-05-17
    Posts
    6,810

    Y-DNA haplogroup
    R1b1a1b2a2a
    MtDNA haplogroup
    H6a1b7

    Ethnic group
    Italian
    Country: United States



    Distance to: Dodecad_K12b-Jovialis
    21.26802530 Neolithic_Varna
    28.16873622 Karanovo
    30.47137345 Vinca
    30.83554118 Western_Linear_Pottery
    31.02078174 Neolithic_Balkans
    31.45502821 Rössen
    32.46632409 Shulaveri_Shomu
    33.36679937 Stroke_Ornament_Pottery
    35.21101958 Cardial_Pottery
    36.29725609 Single_Grave
    37.35299051 Egyptian_Mummies
    38.87157959 Pestera_Muierii
    39.93920255 Kostenki
    40.12474673 Baalberg
    40.49818761 Guanches
    40.89129125 Sunghir
    41.13386926 Michelsberg
    41.64825447 Goyet
    41.67552279 Maikop
    42.14031087 Late_Neolithic_Denmark
    42.69086319 Picts
    43.73410454 Gravettian_Krems
    45.48236801 Salkhit_Paleolithic_Mongolia
    46.63561193 Yana_Paleolithic
    49.15670656 Neolithic_Scotland

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