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Thread: Viking Age samples GEDmatch results

  1. #41
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    VK160 Russia_Kurevanikka_7283-3
    haplogrupa R-L1029

    in K36

    Distance to: vk160
    Lithuanian_Eastern_Aukstota
    Lithuanian_western_Zematija
    Latvia_general
    Lithuanian_western_Aukstota
    Lithuanian_Zematija
    Lithuanian_southern_Aukstota
    RU_Pskov
    Belarus_East
    RU_Smolensk

    Vahaduo

    ADC: 1x
    100.0 Lithuanian_Eastern_Aukstota



    ADC: 0.5x
    83.4 Lithuanian_Eastern_Aukstota
    8.8 Mordva_Moksha
    4.6 Belarus_East
    3.2 Latvia_general

    ADC: 0.25x
    60.8 Lithuanian_Eastern_Aukstota
    16.6 Latvia_general
    12.0 Mordva_Moksha
    8.4 Belarus_East
    2.0 Ukraine_Western
    0.2 Ukraine_Zhytomyr

    47.8 Lithuanian_Eastern_Aukstota
    18.4 Latvia_general
    13.2 Mordva_Moksha
    9.4 Belarus_East
    6.2 Latvia_north-eastern
    2.4 Ukraine_Western
    2.4 Ukraine_Zhytomyr
    0.2 Dinka_south_Sudan
    Last edited by Lucas; 09-21-2020 at 05:27 PM.
    lm-genetics.com

  2. #42
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    VK542 Ukraine_Chernigov
    haplo I-CTS10228


    White Croat???????


    Components %
    Amerindian 0,00
    Arabian 0,00
    Armenian 0,00
    Basque 3,79
    Central_African 0,92
    Central_Euro 6,06
    East_African 0,00
    East_Asian 0,00
    East_Balkan 2,32
    East_Central_Asian 0,00
    East_Central_Euro 22,28
    East_Med 2,11
    Eastern_Euro 15,89
    Fennoscandian 8,36
    French 3,15
    Iberian 0,00
    Indo-Chinese 0,00
    Italian 14,24
    Malayan 0,00
    Near_Eastern 0,00
    North_African 0,00
    North_Atlantic 3,00
    North_Caucasian 2,81
    North_Sea 9,63
    Northeast_African 0,00
    Oceanian 0,00
    Omotic 0,05
    Pygmy 0,31
    Siberian 0,00
    South_Asian 0,00
    South_Central_Asian 0,00
    South_Chinese 0,00
    Volga-Ural 2,62
    West_African 0,00
    West_Caucasian 2,45
    West_Med 0,00

    Genotype ratio: 126 000 snps


    Distance to: vk542
    Ukraine_Vinnytsya
    Slovakian
    Carpathian_Rusyn
    Moldova_nord
    Ukraine_north-east
    Ukraine_Central
    PL_Subcarpathia
    RU_Belgorod
    PL_Malopolska
    Croatian_BIH


    ADC: 1x
    68.2 Ukraine_Vinnytsya
    31.8 Croatian_BIH

    ADC: 0.5x
    46.2 Croatian_BIH
    30.0 RU_Belgorod
    23.8 Ukraine_north-east

    ADC: 0.25x
    28.6 Croatian_BIH
    20.4 RU_Belgorod
    17.6 Ukraine_north-east
    13.8 Latvia_north-eastern
    10.8 Moldova_sud
    7.0 Romanian_NE
    1.8 Tirol


    37.6 Latvia_north-eastern
    21.6 RU_Belgorod
    15.4 IT_Lombardia
    11.0 Romanian_NE
    10.0 Tirol
    1.6 GR_Cyclades
    1.4 Abkhasian
    1.0 GR_Central_Anatolia
    0.4 Nuer_south_Sudan
    Last edited by Lucas; 09-21-2020 at 05:26 PM.

  3. #43
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    Vk542 in K13


    Rather East Slav mixed with Crimean Greeks? He was among others prince of Novgorod and Tmutarakan.

    Code:
    vk542,22.48,43.78,10.72,8.56,9.14,0.26,0,0,1.64,0.82,0.98,0.73,0.87

    Distance to: vk542
    6.58855068 Southwest_Russian
    6.91721765 Ukrainian_Belgorod
    7.14690842 Ukrainian_Lviv
    7.16361641 Ukrainian
    8.36103462 Ukrainian_Ivano_Frankivsk
    9.28551560 South_Polish
    10.00927070 Russian_Smolensk
    10.09260620 Bosniak_Bosnia_proper
    10.47337577 Estonian_Polish
    10.47880718 Polish
    11.17884162 Cossacks_Kuban
    11.35566126 Slovak
    11.49875211 Belorussian
    11.74782107 Kargopol_Russian
    12.03161668 Erzya
    12.08672826 Sorb_Lusatia
    12.12932397 Moldova_North
    12.16815516 Croat_Slavonia
    12.20859533 Masurian
    12.59767836 Hungarian_Northern
    13.24633534 Croat
    13.24781869 Croat_B&H_Herzegovina
    13.24923017 Croat_Croatia
    13.46125551 Croat_Croatia_Central
    13.46185723 Hungarian_Alfold


    Target: vk542
    Distance: 4.4356% / 4.43555828 | ADC: 1x
    71.6 Southwest_Russian
    16.0 Ukrainian_Ivano_Frankivsk
    12.4 Bosniak_Bosnia_proper

    Target: vk542
    Distance: 2.5703% / 2.57026669 | ADC: 0.5x
    76.8 Southwest_Russian
    15.6 Bulgarian_Ruse
    4.8 Ukrainian_Ivano_Frankivsk
    2.8 Bulgarian_Northwest

    Target: vk542
    Distance: 1.9479% / 1.94792481 | ADC: 0.25x
    72.8 Southwest_Russian
    17.2 Bulgarian_Ruse
    4.4 Pomak_Xanthi
    4.0 Erzya
    1.4 Bulgarian_Northwest
    0.2 Mbuti_Pygmy

    Target: vk542
    Distance: 0.9546% / 0.95461043
    56.6 Latvian
    27.6 Greek_Northern-Thrace
    5.2 Erzya
    5.0 Bulgarian_Ruse
    4.2 Abhkasian
    0.6 Mbuti_Pygmy
    0.2 Mayan
    0.2 Papuan
    0.2 San
    0.2 Sudanese
    Last edited by Lucas; 09-21-2020 at 05:26 PM.

  4. #44
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    Biggest bams from Poland.


    VK157 Poland_Bodzia B5

    K13

    Components %
    North_Atlantic 37,10
    Baltic 43,57
    West_Med 9,67
    West_Asian 1,36
    East_Med 1,36
    Red_Sea 3,32
    South_Asian 0,38
    East_Asian 0,00
    Siberian 0,00
    Amerindian 0,91
    Oceanian 0,94
    Northeast_African 0,00
    Sub-Saharan 1,37


    Mixed Mode:
    1 59,77% Latvian + 40,23% Southwest_English @ 3,650
    2 51,95% Swedish + 48,05% Latvian @ 3,985
    3 58,20% Latvian + 41,80% Southeast_English @ 3,992
    4 57,42% Latvian + 42,58% Orcadian @ 4,010
    5 58,98% Latvian + 41,02% West_Scottish @ 4,019
    6 50,39% Latvian + 49,61% Swedish @ 4,060
    7 56,64% Latvian + 43,36% English @ 4,076
    8 51,17% Latvian + 48,83% Danish @ 4,129
    9 50,39% Danish + 49,61% Latvian @ 4,172
    10 58,20% Latvian + 41,80% Irish @ 4,190

    Least-squares method.

    Using 1 populations approximation
    1 100% Southwest_Finnish @ 6,675
    2 100% Polish @ 8,811
    3 100% German_east @ 9,810
    4 100% Cossacks_Kuban @ 10,004
    5 100% Estonian @ 10,091
    6 100% Finnish @ 10,348
    7 100% South_Polish @ 10,459
    8 100% Czech @ 11,117
    9 100% Belorussian @ 11,205
    10 100% Russian_Smolensk @ 11,730

    Using 2 populations approximation
    1 50% Swedish + 50% Latvian @ 4,036
    2 50% Latvian + 50% Danish @ 4,154
    3 50% Lithuanian + 50% Swedish @ 4,577
    4 50% Latvian + 50% Norwegian @ 4,822
    5 50% Latvian + 50% North-Dutch @ 4,890
    6 50% Latvian + 50% North_German @ 4,977
    7 50% Latvian + 50% Orcadian @ 5,016
    8 50% Latvian + 50% English @ 5,031
    9 50% German_east + 50% Estonian @ 5,224
    10 50% Latvian + 50% Southeast_English @ 5,276


    K36
    SNPs used for the calculation: 100 411
    SNPs in calculator: 165 688
    Genotype ratio: 60,60%

    Distance to: vk157
    NE-Ostpreussen
    PL_Kuyavia_&_SE_Pomerania
    PL_Kashubian
    PL_Upper_Silesia
    Lusatian_Sorbs
    PL_Wielkopolska
    RU_Tver
    Ukraine_Vinnytsya
    Slovakian
    PL_Malopolska

    Target: vk157
    ADC: 1x
    45.6 PL_Kuyavia_&_SE_Pomerania
    42.6 NE-Ostpreussen
    11.8 RU_Tver

    ADC: 0.5x
    33.8 PL_Kuyavia_&_SE_Pomerania
    33.4 RU_Tver
    14.4 NE-Ostpreussen
    7.6 DE_Sachsen-Anhalt
    7.0 DE_Sachsen
    3.4 SV_Svealand
    0.4 NL_Overijssel

    ADC: 0.25x
    38.2 RU_Tver
    26.6 PL_Kuyavia_&_SE_Pomerania
    15.0 NL_Overijssel
    6.4 Ukraine_north-east
    5.8 Sudtirol
    5.6 Latvia_western
    1.4 UK_Scotland_Highland
    1.0 Lithuanian_western_Zematija


    37.0 RU_Tver
    27.4 Lithuanian_western_Zematija
    17.8 NL_Overijssel
    11.8 Sudtirol
    5.0 UK_Scotland_Highland
    0.8 Latvia_western
    0.2 Yoruba_Nigeria

  5. #45
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    VK156 Poland_Bodzia B4




    K36

    Distance to: vk156
    NE-Ostpreussen
    Norway_Hedmark
    Neumark
    PL_Kashubian
    Estonian_NW
    SV_Svealand
    northern_Ostpreussen
    Lusatian_Sorbs
    Pommern
    PL_Kuyavia_&_SE_Pomerania


    without East German refs as they were newer...

    41.6 SV_Norrland
    14.0 NL_Friesland
    13.0 PL_Suwalki
    10.6 PL_Lublin
    10.0 RU_Yaroslavl
    7.6 RU_Novgorod
    3.2 Latvia_north-eastern

    ADC: 0.5x
    48.8 SV_Norrland
    31.0 PL_Wielkopolska
    12.8 RU_Yaroslavl
    7.4 Estonian_NE

  6. #46
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    VK541 Ukraine_Lutsk

    K13

    Components %
    North_Atlantic 23,15
    Baltic 43,28
    West_Med 11,70
    West_Asian 7,62
    East_Med 7,79
    Red_Sea 1,05
    South_Asian 1,58
    East_Asian 0,00
    Siberian 1,18
    Amerindian 0,56
    Oceanian 0,79
    Northeast_African 0,00
    Sub-Saharan 1,29



    Least-squares method.

    Using 1 populations approximation
    1 100% Ukrainian_Lviv @ 5,345
    2 100% Ukrainian @ 5,655
    3 100% Southwest_Russian @ 6,394
    4 100% Ukrainian_Belgorod @ 6,814
    5 100% South_Polish @ 8,042
    6 100% Croatian @ 9,036
    7 100% Russian_Smolensk @ 9,063
    8 100% Polish @ 9,142
    9 100% Estonian_Polish @ 9,582
    10 100% Bosniak_Tuzla @ 9,758


    K36


    44.8 RU_Tambov
    25.4 Belarus_East
    20.8 PL_Central
    5.4 ES_Extremadura
    2.8 Sephardi_Portugal_Belmonte
    0.6 Finn_east_and_north
    0.2 Baloch_PAK

  7. #47
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    Quote Originally Posted by Lucas View Post
    VK541 Ukraine_Lutsk

    K13

    Components %
    North_Atlantic 23,15
    Baltic 43,28
    West_Med 11,70
    West_Asian 7,62
    East_Med 7,79
    Red_Sea 1,05
    South_Asian 1,58
    East_Asian 0,00
    Siberian 1,18
    Amerindian 0,56
    Oceanian 0,79
    Northeast_African 0,00
    Sub-Saharan 1,29



    Least-squares method.

    Using 1 populations approximation
    1 100% Ukrainian_Lviv @ 5,345
    2 100% Ukrainian @ 5,655
    3 100% Southwest_Russian @ 6,394
    4 100% Ukrainian_Belgorod @ 6,814
    5 100% South_Polish @ 8,042
    6 100% Croatian @ 9,036
    7 100% Russian_Smolensk @ 9,063
    8 100% Polish @ 9,142
    9 100% Estonian_Polish @ 9,582
    10 100% Bosniak_Tuzla @ 9,758


    K36


    44.8 RU_Tambov
    25.4 Belarus_East
    20.8 PL_Central
    5.4 ES_Extremadura
    2.8 Sephardi_Portugal_Belmonte
    0.6 Finn_east_and_north
    0.2 Baloch_PAK
    Chochol Wiking

    Could very well be a modern person, especially with the V5 chip.

  8. #48
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    Denmark Iron Age, only two high quality samples (the other two are low quality):

    VK521:

    [1] "1. CLOSEST SINGLE ITEM DISTANCE%"
    SE_Sweden-Sigtuna-Medieval
    0.9173478
    NO_Austlandet
    0.9316609
    SE_Vastra-Gotaland
    0.9410106
    SE_Svealand
    0.9415923
    DE_Niedersachsen
    0.9548534
    SE_Ostergotaland
    1.0433485
    NO_Norway
    1.0551862
    NO_Vestlandet
    1.0666771
    NO_Midt-Norge
    1.0683946
    SE_South-Sweden
    1.0705615
    SE_Sweden
    1.0765737
    NO_Nordland
    1.0872566
    SE_Norrbotten
    1.1024169
    DE_Schleswig
    1.1130912
    DK_Southern-Jutland
    1.1147628
    DE_Niedersachsen
    1.1232386
    DK_Zealand
    1.1299757
    (...)

    VK532:

    [1] "1. CLOSEST SINGLE ITEM DISTANCE%"
    SE_Sweden-Medelpad
    0.7555978
    NO_Troms
    0.8045645
    SE_Svealand
    0.8465418
    SE_Norrbotten
    0.8479611
    FIN_Aland
    1.0368197
    NO_Nordland
    1.0957627
    NO_Norway
    1.1003559
    SE_Sweden-Sigtuna-Medieval
    1.1499696
    SE_Sweden
    1.1510534
    SE_Sweden-Scania
    1.1770370
    DE_Niedersachsen
    1.1940369
    (...)
    To skrt, ktry wyrażamy w czterech literach. Tak to jest moja ziemia.

  9. #49
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    Quote Originally Posted by Leto View Post
    Chochol Wiking

    Could very well be a modern person, especially with the V5 chip.
    I'm surprised how little change in this region. Volhyn is core of Ukraine.

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    All of those samples were “legit” vikings, or the researchers have picked some random viking ages samples across Europe too?
    Target: Andre_scaled
    Distance: 2.6411% / 0.02641109
    57.8 BGR_IA
    36.0 Baltic_LTU_BA
    6.2 RUS_Altai_IA

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