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Thread: Slavs among Vikings

  1. #41
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    Their K13 results (versions "a" are from Vadim Verenich's raw data files):

    Code:
    VK474a_Gotland,32.95,44.29,9.48,3.42,5.59,0.28,0.18,0,0.59,0.81,1.65,0,0.76
    VK474b_Gotland,32.28,44.68,9.18,3.35,4.51,1.29,0.69,0,0.09,1.28,1.64,0.09,0.92
    VK139a_Funen,26.17,50.28,9.09,1.44,7.49,0.38,0.21,0,0,2.11,0.94,0.55,1.33
    VK139b_Funen,25.63,50.09,9.35,2.17,6.5,0.68,0.72,0,0,1.96,0.79,0.78,1.32
    VK340a_Jutland,28.6,43.79,11.33,4.03,6.3,0.12,3.6,0,0.42,0.15,0,1.25,0.41
    VK340b_Jutland,29.18,44.17,9.8,5.06,6.3,0,3.49,0,0.44,0.16,0,1.41,0
    VK53a_Gotland,31.28,40.33,13.71,3.74,5.76,0.03,0,1.13,0.18,0.55,0.95,0.87,1.47
    VK53b_Gotland,30.83,40.93,14.13,3.56,5.24,0.14,0,1.23,0.74,0.14,0.85,0.41,1.79
    VK157a_Bodzia,37.32,44.98,8.77,0,1.21,4.22,0.7,0,0,0.78,0.85,0.6,0.57
    VK157b_Bodzia,35.83,43.49,9.43,1.67,1.64,3.4,0.81,0,0.16,1.16,0.98,0.18,1.25
    VK212a_Cedynia,29.2,49.4,8.82,5,2.13,0.2,1.77,0,1.04,0,0.24,1.79,0.42
    VK212b_Cedynia,29.02,49.77,9.02,4.57,2.56,0.12,1.19,0,1.16,0,0.25,1.76,0.58
    VK453a_Gotland,32.49,42.85,8.85,3.26,3.51,2.68,0,0,1.02,0,1.61,3.73,0
    VK453b_Gotland,30.73,45.34,8.5,3.69,2.57,2.78,0,0,1.13,0,1.59,3.68,0
    VK287a_Langeland,28.05,43.88,8.79,7.09,8,0,1.56,0.44,1.3,0.39,0.27,0.23,0
    VK287b_Langeland,27,44.27,9.39,7.46,7.63,0,1.66,0.21,1.37,0.47,0.49,0.06,0
    VK309a_Skara,31.83,50.02,9.09,2.12,1.75,2.95,0,0.55,0,0,0.97,0,0.71
    VK309b_Skara,32.09,49.05,9.46,2.78,1.47,2.71,0,0.41,0.1,0,1.19,0,0.72
    VK156a_Bodzia,34.65,43.28,9.62,3.13,5.11,0,0,0,0.81,2.01,0.98,0,0.4
    VK156b_Bodzia,35.34,42.47,8.82,3.62,5.03,0,0,0.31,1.36,1.9,0.91,0,0.23
    And VK160:

    Code:
    VK160a,27.84,53.35,7.03,2.29,2.52,1.95,0.6,2.04,0.52,0.54,0,0.81,0.51

  2. #42
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    ---

  3. #43
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    Come on, how did you manage classify this guy as a Balt based on K13? This is what he scores in K13 Vahaduo:

    Distance to: VK474a_Gotland
    4.17789421 Sorb_Lusatia
    4.39388211 Masurian
    4.49357319 Polish

    5.19992308 South_Polish
    6.77958701 Ukrainian
    6.93230842 Belorussian
    7.36159629 Cossacks_Kuban
    7.46121304 Russian_Smolensk
    7.48264659 Estonian_Polish
    7.89739831 Ukrainian_Lviv
    8.50425188 Czech

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    Both Funen samples are extremely similar to my father's K13 (first three components - 50% Baltic, 26% North Atlantic, 9% West Med). Just saying.

  5. #45
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    VK160 could be a Balt, but not the other two.

    =====

    These are Balts for example (just like those two with 30-40% "Finnish-like", although they could also be Livonians):

    Distance to: VK434 Gotland_Frojel-01288
    0.55059059 LV_Latvia-Karsava
    0.61138449 LV_Latvia-Riga
    0.72699587 LV_Latvia
    0.82939315 LV_Latvia-Dobele
    0.86993908 LT_Lithuania-Mazeikiai
    0.91781806 LT_Lithuania-Panevezys
    0.92560845 LT_Lithuania-Klaipeda
    0.93100644 LT_Lithuania-Utena
    (...)

    Distance to: VK438 Gotland_Frojel-04498
    0.81687453 LT_Lithuania-Siauliai
    0.82045597 LT_Lithuania-Klaipeda
    0.82650166 LT_Lithuania-Mazeikiai
    0.87972041 LT_Lithuania-Utena
    0.91868003 LT_Lithuania-Kaunas
    (...)

    These 4 are also Balts:

    VK458 Gotland_Frojel-03299_3

    VK459 Gotland_Frojel-02198

    VK463 Gotland_Frojel-019A89

    VK475 Gotland_Kopparsvik-187

  6. #46
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    Quote Originally Posted by Peterski View Post
    Come on, how did you manage classify this guy as a Balt based on K13? This is what he scores in K13 Vahaduo:

    Distance to: VK474a_Gotland
    4.17789421 Sorb_Lusatia
    4.39388211 Masurian
    4.49357319 Polish

    5.19992308 South_Polish
    6.77958701 Ukrainian
    6.93230842 Belorussian
    7.36159629 Cossacks_Kuban
    7.46121304 Russian_Smolensk
    7.48264659 Estonian_Polish
    7.89739831 Ukrainian_Lviv
    8.50425188 Czech
    i'm not sure if it was because of the Balticness. i placed all the Viking samples, and vahaduo k13 updated North/West Euro, Baltic/Finnic and West/East Slavic(+ 4 early Slavic samples) averages on a PCA, and deleted those who visually looked as too big outliers from the West/East/early Slavic cluster.

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    These are Germanic (among others):

    Funen:

    VK316
    VK295
    VK279
    VK446
    VK280
    VK141
    VK312
    VK370
    VK371
    VK372
    VK313
    VK134

    Langeland:

    VK367
    VK320
    VK291
    VK275
    VK285
    VK288
    VK364
    VK366
    VK282
    VK289
    VK338
    VK290

    Jutland:

    VK582 - Alken Enge
    VK300 - Hesselbjerg
    VK325 - Ribe
    VK323 - Ribe
    VK384 - Hesselbjerg
    VK324 - Ribe

    Oland:

    VK522
    VK533
    VK342
    VK343
    VK344
    VK352
    VK337
    VK335
    VK354
    VK348
    VK380

    Gotland:

    VK460
    VK48
    VK479
    VK50

  8. #48
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    VK139 looks like modern Russians:

    [1] "1. CLOSEST SINGLE ITEM DISTANCE%"
    RUS_Oryol
    0.7911182
    RUS_Voronezh
    0.8516930
    RUS_Smolensk
    0.8590757
    BY_Brest-Region
    0.8906834
    (...)

  9. #49
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    VK160 is borderline Slav/Balt, there are Poles with over 28% and even over 30% East_Central_Euro:

    (I have a Polish sample native to Kłobuck in South-West Poland that scores 28% East_Central_Euro):

    Amerindian 0
    Arabian 0
    Armenian 0
    Basque 1,11
    Central African 0
    Central Euro 9,4
    East African 0
    East Asian 0
    East Balkan 2,44
    East Central Asian 0
    East Central Euro 27,41
    East Med 0
    Eastern Euro 25,22
    Fennoscandian 14,11
    French 5,09
    Iberian 2,1
    Indo-Chinese 0
    Italian 0,55
    Malayan 0
    Near Eastern 0
    North African 0
    North Atlantic 6,44
    North Caucasian 0
    North Sea 4,62
    Northeast African 0
    Oceanian 0
    Omotic 0
    Pygmy 0
    Siberian 0
    South Asian 0
    South Central Asian 0
    South Chinese 0
    Volga-Ural 1,18
    West African 0,33
    West Caucasian 0
    West Med 0

    ^^^
    See, this one has both Lithuanians and Russians among top distances, so he was a Balto-Slavic mix:

    [1] "1. CLOSEST SINGLE ITEM DISTANCE%"
    LT_Lithuania-Alytus
    0.8159963
    RUS_Moscow
    0.8479080
    RUS_Smolensk
    0.8565547
    RUS_Pskov
    0.8902545
    BY_Minsk
    0.8962064
    LT_Lithuania-Utena
    0.9047088
    EE_Estonian-Poles
    0.9192682
    LV_Latvia-Jelgava
    0.9418652
    RUS_Kursk
    0.9564162
    LT_Lithuania-Klaipeda
    0.9590850
    (...)

    =====

    To sum up, I think you should include VK474 and VK139, but do not include VK160 (clearly mixed with Balts).

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    Quote Originally Posted by vbnetkhio View Post
    i'm not sure if it was because of the Balticness. i placed all the Viking samples, and vahaduo k13 updated North/West Euro, Baltic/Finnic and West/East Slavic(+ 4 early Slavic samples) averages on a PCA, and deleted those who visually looked as too big outliers from the West/East/early Slavic cluster.
    Show me a Lithuanian that is closest to Sorb_Lusatia in K13, except for these which are Poles from Lithuania (or something like that):

    https://www.theapricity.com/forum/sh...outh-Lithuania

    BTW, my regional averages for Lithuania are based on academic samples but I removed these Slavic-shifted outliers. I have only pure Balts.

    In Global25, Davidski added some of the Slavic-shifted "Lithuanians" and there are Polish users who are closest to these samples, see:

    http://www.historycy.org/index.php?s...&#entry1910654

    ^^^
    Polish user Radek is closest to these samples in Global25:

    Distance to: Radek_scaled
    0.02539729 Lithuanian_PA:LTG-173
    0.02556808 Lithuanian_PA:LTG-788
    (...)
    0.02825192 Lithuanian_PA:LTG-804
    (...)
    0.02994509 Lithuanian_PA:LTG-1352


    ^^^
    But I uploaded them to GEDmatch and see what they score:

    Lithuanian_PA:LTG-173 (South Aukštaitija) - kit UW7999068
    Lithuanian_PA:LTG-788 (South Aukštaitija) - kit SU9121750
    Lithuanian_PA:LTG-804 (South Aukštaitija) - kit WU8448499
    Lithuanian_PA:LTG-1352 (South Aukštaitija) - kit HX2459622



    LTG-173 in Eurogenes K13:

    Admix Results (sorted):

    # Population Percent
    1 Baltic 48.53
    2 North_Atlantic 30.02
    3 West_Med 10.68
    4 West_Asian 3.75
    5 East_Med 3.68
    6 Amerindian 0.97
    7 Sub-Saharan 0.86
    8 Oceanian 0.78
    9 South_Asian 0.71

    Single Population Sharing:

    # Population (source) Distance
    1 Estonian_Polish 3.49
    2 Polish 3.5
    3 Russian_Smolensk 3.76
    4 Belorussian 3.94
    5 Ukrainian 6
    6 Southwest_Russian 6.05
    7 Lithuanian 6.29
    (...)

    LTG-788 in Eurogenes K13:

    Admix Results (sorted):

    # Population Percent
    1 Baltic 51.65
    2 North_Atlantic 26.96
    3 West_Med 9.04
    4 East_Med 5.55
    5 West_Asian 3.58
    6 South_Asian 1.15
    7 Siberian 0.95
    8 Red_Sea 0.86
    9 Amerindian 0.15
    10 Oceanian 0.1

    Single Population Sharing:

    # Population (source) Distance
    1 Estonian_Polish 2.82
    2 Belorussian 3.32
    3 Russian_Smolensk 3.98
    4 Lithuanian 4.75
    (...)

    LTG-804 in Eurogenes K13:

    Admix Results (sorted):

    # Population Percent
    1 Baltic 49.51
    2 North_Atlantic 26.49
    3 West_Med 9.73
    4 West_Asian 5.95
    5 East_Med 3.49
    6 Siberian 2.03
    7 South_Asian 0.96
    8 Northeast_African 0.93
    9 Amerindian 0.61
    10 East_Asian 0.28
    11 Sub-Saharan 0.01

    Single Population Sharing:

    # Population (source) Distance
    1 Estonian_Polish 2.95
    2 Russian_Smolensk 3.02
    3 Southwest_Russian 3.69
    4 Belorussian 4.27
    5 Ukrainian_Belgorod 4.32
    6 Polish 5.48
    7 Lithuanian 5.81
    (...)

    LTG-1352 in Eurogenes K13:

    Admix Results (sorted):

    # Population Percent
    1 Baltic 49.56
    2 North_Atlantic 32.97
    3 West_Med 6.15
    4 West_Asian 3.85
    5 East_Med 3.5
    6 South_Asian 1.53
    7 Siberian 1.5
    8 Oceanian 0.32
    9 East_Asian 0.29
    10 Amerindian 0.24
    11 Sub-Saharan 0.08

    Single Population Sharing:

    # Population (source) Distance
    1 Estonian 3.9
    2 Belorussian 3.91
    3 Estonian_Polish 5.27
    4 Russian_Smolensk 5.46
    5 Lithuanian 5.73
    6 Polish 6.21
    (...)

    ^^^
    Do you think these are pure Balts?

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