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Thread: R1b-CTS9219 post your Autosomal (auDNA)

  1. #1
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    R1b-CTS9219 post your Autosomal (auDNA)

    To help better understand shared components among R1b-CTS9219 post your Autosomal (auDNA) scores.
    With the help of tools like Gedmatch we can compare common components amongst ourselves and ancient samples like Malíta 1, and any relevant new samples.
    http://v2.gedmatch.com/login1.php

    Mal'ta 1 sample can be found at the following.
    http://genetiker.wordpress.com/2014/...-gora-genomes/

    For example Mal'ta [R*] using MLDP World-22 compared to my result's R1b-CTS 9219
    MDLP World-22

    46.23% North-East-European
    10.32% Samoedic
    9.18% West-Asian
    7.95% North-European-Mesolithic
    5.58% South-America_Amerind
    4.73% Indo-Iranian
    4.47% Arctic-Amerind
    4.43% North-Amerind
    3.88% Mesoamerican
    2.73% Indian
    0.47% Sub-Saharian
    0.02% Paleo-Siberian
    0.01% Atlantic_Mediterranean_Neolithic
    0.00% Austronesian
    0.00% East-Siberean
    0.00% East-South-Asian
    0.00% Indo-Tibetan
    0.00% Melanesian
    0.00% Near_East
    0.00% North-Siberean
    0.00% Pygmy
    0.00% South-African




    # Population Percent
    1 North-East-European 66.41
    2 Atlantic_Mediterranean_Neolithic 20.7
    3 West-Asian 7.77
    4 Near_East 1.75
    5 Indian 1.02
    6 Arctic-Amerind 0.69
    7 North-European-Mesolithic 0.61
    8 North-Siberean 0.45
    9 South-America_Amerind 0.28
    10 Melanesian 0.18
    11 Austronesian 0.14

    # Primary Population (source) Secondary Population (source) Distance
    1 96.2% Polish_V (derived) + 3.8% Abhkasian (derived) @ 2.17
    2 96.3% Polish_V (derived) + 3.7% Georgian_Imereti (derived) @ 2.18
    3 96.1% Polish_V (derived) + 3.9% Georgian_Laz (derived) @ 2.24
    4 95.2% Polish_V (derived) + 4.8% Adygei (derived) @ 2.25
    5 55.2% North-East-European (ancestral) + 44.8% Kosovar (derived) @ 2.25
    6 95.6% Polish_V (derived) + 4.4% Georgian (derived) @ 2.26
    7 95.3% Polish_V (derived) + 4.7% Kabardinian (derived) @ 2.28
    8 95.3% Polish_V (derived) + 4.7% Balkarian (derived) @ 2.28
    9 95.4% Polish_V (derived) + 4.6% Chechen (derived) @ 2.3
    10 95.6% Polish_V (derived) + 4.4% NorthOssetian (derived) @ 2.3
    11 95.8% Polish_V (derived) + 4.2% Ossetian (derived) @ 2.31
    12 95.2% Polish_V (derived) + 4.8% Cirkassian (derived) @ 2.31
    13 97.3% Polish_V (derived) + 2.7% West-Asian (ancestral) @ 2.35
    14 95.6% Polish_V (derived) + 4.4% Lezgin (derived) @ 2.36
    15 95.4% Polish_V (derived) + 4.6% Kumyk (derived) @ 2.37
    16 96.1% Polish_V (derived) + 3.9% Armenian (derived) @ 2.37
    17 95.5% Polish_V (derived) + 4.5% Avar (derived) @ 2.39
    18 95.6% Polish_V (derived) + 4.4% Lak (derived) @ 2.41
    19 94.8% Polish_V (derived) + 5.2% Greek_Azov (derived) @ 2.41
    20 95.5% Polish_V (derived) + 4.5% Tabassaran (derived) @ 2.42

    Perhaps we may be some pockets R1b-CTS9219 North Ossetian/Tabasaran/Balkarian/Lak/Armenian ?

  2. #2
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    Canada Franco-Manitoban European Union Ottoman Empire Russia Imperial United States Grand Union
    Any relationship between yDNA and autosomes is non-causal, so I am not sure what you hope to get out of this. There are males who are yDNA E1b1a who are autosomally 100% European, and males who are yDNA R1b1a2 who are autosomally 100% African.
     

    Other ancestral Y lines:

    E1b-M81 Ukraine (Ashkenazi)
    E1b-V13 England
    I1-M253 Ireland
    I2-M423 Ukraine
    R1a-L176.1 Scotland
    R1b-L584 Syria/Turkey (Sephardi)
    R1b-L20 Ireland
    R1b-L21 (1)England; (2)Wales?>Connecticut
    R1b-L48 England
    R1b-P312 Scotland
    R1b-FGC32576 Ireland

    Other ancestral mtDNA lines:

    H1b2a Ukraine (Ashkenazi)
    H6a1a3 Ukraine
    K1a9 Belarus (Ashkenazi)
    K1c2 Ireland
    V7a Ukraine

  3. #3
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    According t Big-Y I am CTS9219. My file was then given to YFull for further analysis with the following results: CTS1450* Terminal SNPs CTS1450 • CTS7556 • CTS9219 • V3089/Y5591 • Y5589 • Y5590 • Y5592 • Y5593 • Y5594. I then analyzed my raw BAM file with Big-Y Analysis Tools. One of the resulting file is auDNA. Is there a way to convert this formation into ethnic %s?

  4. The Following User Says Thank You to 2Bellies For This Useful Post:

     Silesian (01-25-2015)

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    Quote Originally Posted by 2Bellies View Post
    According t Big-Y I am CTS9219. My file was then given to YFull for further analysis with the following results: CTS1450* Terminal SNPs CTS1450 • CTS7556 • CTS9219 • V3089/Y5591 • Y5589 • Y5590 • Y5592 • Y5593 • Y5594. I then analyzed my raw BAM file with Big-Y Analysis Tools. One of the resulting file is auDNA. [COLOR]

    Welcome to the R1b CTS 9219+ clan . Smal perhaps could give some input with using BAM files and ethnic %.
    Quote Originally Posted by 2Bellies View Post
    Is there a way to convert this formation into ethnic %s?
    To get a general idea about R1b-9219+ go to either Ht-35 project and or Polish project> go to mapping function. You can get a rough idea by using the mapping function to see the "hits"[males who share R1b-9219+] region R1b 9219+ is covering;in a broad sense alot are showing up in, Balkans, Eastern Europe and Ossetian[Caucasus region] so far.
    https://www.familytreedna.com/public...x?section=ymap
    https://www.familytreedna.com/public...x?section=ymap
    .
    Last edited by Silesian; 01-25-2015 at 09:33 PM.

  6. The Following 2 Users Say Thank You to Silesian For This Useful Post:

     BuczkowskiDNA (01-27-2015),  Mis (02-20-2015)

  7. #5
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    Quote Originally Posted by 2Bellies View Post
    According t Big-Y I am CTS9219. My file was then given to YFull for further analysis with the following results: CTS1450* Terminal SNPs CTS1450 • CTS7556 • CTS9219 • V3089/Y5591 • Y5589 • Y5590 • Y5592 • Y5593 • Y5594. I then analyzed my raw BAM file with Big-Y Analysis Tools. One of the resulting file is auDNA. Is there a way to convert this formation into ethnic %s?
    It looks like lady luck has smiled on us, ha; who knew we would be getting some ancient R1b Z2103 samples our way. Hopefully they will be releasing autosomal and we can get some better idea about our ancestors.
    http://biorxiv.org/content/early/2015/02/10/013433
    Some are saying that Eurogenes K8 is good others, Dodecad K7b, so results are to be taken with a grain of salt until full Yamnaya autosomal R1b-z2103 are released to compare our ancestry.
    Dodecad K7b
    Population
    South_Asian 1.14%
    West_Asian 13.32%
    Siberian 1.68%
    African -
    Southern 8.23%
    Atlantic_Baltic 75.63%
    East_Asian -


    # Primary Population (source) Secondary Population (source) Distance
    1 91.7% Swedish (Dodecad) + 8.3% Iranian (Dodecad) @ 0.34
    2 91.9% Swedish (Dodecad) + 8.1% Kurd (Dodecad) @ 0.51
    Last edited by Silesian; 02-20-2015 at 04:09 PM.

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     Mis (02-20-2015)

  9. #6
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    Silesian, can you post your K13 and K15 results? I believe you get Polish+minor Caucasian due to higher west-asian component, i myself got it a bit higher aswell and get results like 95% Estonian+Caucasian.

  10. The Following User Says Thank You to Roaring For This Useful Post:

     Silesian (02-21-2015)

  11. #7
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    Quote Originally Posted by Roaring View Post
    Silesian, can you post your K13 and K15 results? I believe you get Polish+minor Caucasian due to higher west-asian component, i myself got it a bit higher aswell and get results like 95% Estonian+Caucasian.
    Sure; looks like you be my Yamnaya kinfolk where have you been?
    Anyway here are my results.
    I'm a little bit more southern and eastern on K15 I start to get Pashtun and Ossetian and Kalash matches
    K13 Oracle ref data revised 21 Nov 2013
    # Population Percent
    1 Baltic 43
    2 North_Atlantic 30.13
    3 West_Med 11.61
    4 West_Asian 6.5
    5 East_Med 5.05
    6 South_Asian 1.85
    7 Siberian 1.34
    8 Oceanian 0.5
    9 Sub-Saharan 0.02


    # Population (source) Distance
    1 South_Polish 1.83

    # Primary Population (source) Secondary Population (source) Distance
    1 89.6% South_Polish + 10.4% Kargopol_Russian @ 1.43
    2 91.6% South_Polish + 8.4% Lithuanian @ 1.52
    3 68.7% South_Polish + 31.3% Ukrainian @ 1.53
    4 85.6% South_Polish + 14.4% Russian_Smolensk @ 1.54
    5 92.9% South_Polish + 7.1% Erzya @ 1.55
    6 87.3% South_Polish + 12.7% Estonian_Polish @ 1.56
    7 76.8% South_Polish + 23.2% Polish @ 1.56
    8 91.8% South_Polish + 8.2% Estonian @ 1.59
    9 94% South_Polish + 6% East_Finnish @ 1.64
    10 90.3% Ukrainian + 9.7% Swedish @ 1.68
    Eurogenes EUtest V2 K15
    # Population Percent
    1 Baltic 26.94
    2 North_Sea 21.24
    3 Atlantic 19.00
    4 Eastern_Euro 18.49
    5 West_Med 6.70
    6 West_Asian 4.69
    7 South_Asian 1.57
    8 East_Med 1.09

    # Population (source) Distance
    1 South_Polish 2.51

    # Primary Population (source) Secondary Population (source) Distance
    1 70.5% Russian_Smolensk + 29.5% East_German @ 1.77
    2 83.8% Russian_Smolensk + 16.2% Southwest_English @ 1.97
    3 63.2% Estonian_Polish + 36.8% East_German @ 2.03
    4 59.1% South_Polish + 40.9% Polish @ 2.13
    5 80% Polish + 20% Croatian @ 2.13
    6 95.9% Polish + 4.1% Afghan_Pashtun @ 2.14
    7 96.4% Polish + 3.6% Kalash @ 2.14
    8 96.3% Polish + 3.7% Ossetian @ 2.15
    9 63.3% Belorussian + 36.7% East_German @ 2.15
    10 82.8% Russian_Smolensk + 17.2% West_German @ 2.16
    Can you post yours?
    Last edited by Silesian; 02-21-2015 at 10:34 PM.

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  13. #8
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    Quote Originally Posted by Silesian View Post
    Sure; looks like you be my Yamnaya kinfolk where have you been?
    Anyway here are my results.
    I'm a little bit more southern and eastern on K15 I start to get Pashtun and Ossetian and Kalash matches




    Can you post yours?

    Your West-Asian is exactly the same as of S. Polish average, hence you stop getting caucas stuff in oracle.

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    What branch of R1b are you?

    Quote Originally Posted by Roaring View Post
    Your West-Asian is exactly the same as of S. Polish average, hence you stop getting caucas stuff in oracle.
    Also my EUtest to compare K13 and K15 to Polish.

    PL-average
    SOUTH_BALTIC-29.57 28.70
    EAST_EURO-21.25 19.28
    NORTH-CENTRAL_EURO-18.46 17.95
    ATLANTIC-15.58 16.36
    WEST_MED-6.62 8.53
    EAST_MED-4.42 4.72
    WEST_ASIAN-3.74 3.70
    MIDDLE_EASTERN-0.05
    SOUTH_ASIAN-0.14
    EAST_AFRICAN-0
    EAST_ASIAN-0.11
    SIBERIAN-0.03
    WEST_AFRICAN-0.01

    sing 1 population approximation:
    1 PL @ 3.107563
    2 UA @ 4.550455
    3 West_Russian @ 6.667840
    4 Ukrainian-Russian @ 7.634579
    5 Belorussian @ 8.183375
    6 EE @ 10.428164

    Using 2 populations approximation:
    1 50% AT +50% LIT @ 2.061456

    Using 3 populations approximation:
    1 50% LIT +25% North_Italian +25% West_Russian @ 1.873778
    Using 4 populations approximation:
    1 AT + HU + LIT + LIT @ 1.163403

    2 AT + HU + LIT + Northwest_Russian @ 1.199405
    3 EE + HU + HU + LIT @ 1.349733
    4 EE + LIT + North_Italian + Northwest_Russian @ 1.464135
    5 Belorussian + EE + LIT + North_Italian @ 1.602545
    [/I]
    What kind of results do you get?
    Last edited by Silesian; 02-22-2015 at 10:29 PM.

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    What branch of R1b are you?

    Quote Originally Posted by Roaring View Post
    Your West-Asian is exactly the same as of S. Polish average, hence you stop getting caucas stuff in oracle.
    Also my EUtest to compare K13 and K15 to Polish average using Eurogenes EUtest.

    PL
    SOUTH_BALTIC-29.57 28.70
    EAST_EURO-21.25 19.28
    NORTH-CENTRAL_EURO-18.46 17.95
    ATLANTIC-15.58 16.36
    WEST_MED-6.62 8.53
    EAST_MED-4.42 4.72
    WEST_ASIAN-3.74 3.70
    MIDDLE_EASTERN-0.05
    SOUTH_ASIAN-0.14
    EAST_AFRICAN-0
    EAST_ASIAN-0.11
    SIBERIAN-0.03
    WEST_AFRICAN-0.01

    sing 1 population approximation:
    1 PL @ 3.107563
    2 UA @ 4.550455
    3 West_Russian @ 6.667840
    4 Ukrainian-Russian @ 7.634579
    5 Belorussian @ 8.183375
    6 EE @ 10.428164

    Using 2 populations approximation:
    1 50% AT +50% LIT @ 2.061456

    Using 3 populations approximation:
    1 50% LIT +25% North_Italian +25% West_Russian @ 1.873778
    Using 4 populations approximation:
    1 AT + HU + LIT + LIT @ 1.163403
    2 AT + HU + LIT + Northwest_Russian @ 1.199405
    3 EE + HU + HU + LIT @ 1.349733
    4 EE + LIT + North_Italian + Northwest_Russian @ 1.464135
    5 Belorussian + EE + LIT + North_Italian @ 1.602545
    What kind of results do you get?

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