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Thread: NEW! All Gedmatch calculators on Vahaduo ON-LINE

  1. #251
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    Quote Originally Posted by mlukas View Post
    Author wasn't me, Davidski or Sikeliot. I can't say who but the same who sent it for K13.
    Well, tell whoever it was, who won't stand behind his work by giving a name, to clean up the K13. It's a mess. It's full of repetitions and meaningless descriptions of samples, like "col", and a sample that is labeled low quality sample. When our people do it, they're careful, or maybe he had some purpose in doing that?

    And why didn't whoever did this leave all the Spanish and Balkan samples that are in Dodecad? I'm closer to a lot of them than these fits.

    If we all should have learned anything from this exercise it's that what you take out of the source list is as important as what you leave in, and you can change the final result drastically.

    Or maybe there's something to the assertion of our local historians in the Lunigiana who maintain that the Buonaparte family and a lot of other local people from the southern Lunigiana migrated to Corsica. :)


    Sweet Jesus, you're telling me Sikeliot created a calculator and people actually use it? This whole community is stark, raving, mad.


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  2. #252
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    Y-DNA haplogroup
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    Distance to: torziok12b
    4.82277928 CL23
    6.00532264 SZ28
    6.60955369 CL49
    6.93799683 CL94
    7.31461551 N_Italian
    7.62312272 CL57
    7.70831369 CL36
    7.72828571 CL47
    7.93197958 SZ45
    8.04854024 SZ43
    8.12515231 SZ27
    9.50909039 CL102
    9.57848631 SZ18
    9.71251255 SZ31
    10.18906767 Albanian_North
    10.24966341 O_Italian
    10.29711610 SZ36
    10.30020874 SZ1
    10.43786377 Albanian_Kosovo
    10.73141650 North_Italian
    11.11805738 CL63
    11.31026083 SZ37
    11.39341915 CL53
    11.80897963 SZ6
    12.22643039 TSI30

    Dodecad K12b 4-Ancestors Oracle

    Admix Results (sorted):

    # Population Percent
    1 Atlantic_Med 35.79
    2 North_European 28.00
    3 Caucasus 20.94
    4 Gedrosia 7.03
    5 Southwest_Asian 6.20
    6 Northwest_African 1.53


    Finished reading population data. 223 populations found.
    12 components mode.

    --------------------------------

    Least-squares method.

    Using 1 population approximation:
    1 N_Italian_Dodecad @ 7.311903
    2 O_Italian_Dodecad @ 10.248460
    3 North_Italian_HGDP @ 10.733257
    4 TSI30_Metspalu @ 12.228329
    5 Tuscan_HGDP @ 13.806402
    6 C_Italian_Dodecad @ 16.020716
    7 Romanians_Behar @ 16.275034
    8 Baleares_1000Genomes @ 16.466642
    9 Galicia_1000Genomes @ 17.056717
    10 Bulgarian_Dodecad @ 17.073818
    11 Bulgarians_Yunusbayev @ 17.125658

    #################################


    Distance to: CL23
    5.66682451 SZ28
    5.66814785 CL36
    6.09714687 SZ43
    6.16154201 N_Italian
    7.81080662 SZ31
    8.10610881 SZ36
    8.48027122 O_Italian
    9.06702266 North_Italian
    9.15552292 CL94
    9.54052409 CL49
    9.58492045 SZ1
    9.62823971 TSI30
    10.09177883 SZ37
    10.93274897 Albanian_Kosovo
    11.04128163 Albanian_North
    11.43860131 Tuscan
    11.60613631 CL47
    11.64759203 CL57
    11.71023057 SZ45
    12.33885327 SZ27
    13.17356823 C_Italian
    13.37356347 CL102
    13.49721453 SZ18
    14.44509605 CL121
    15.16987805 CL63

  3. #253
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    Quote Originally Posted by Angela View Post
    No, I don't, nor would I trust anyone from anthrogenica.

    Where did I reveal my coordinates? Did you hack my accounts?

    What does your latest map represent?

    From now on don't post them unless you label them.
    I honestly don't understand what you mean, well leave it.

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    Quote Originally Posted by Dou View Post
    I honestly don't understand what you mean, well leave it.
    It's simple enough; please label any maps you post.

    What is the second map using G25 supposed to represent?

    Was the first map based on G25 coordinates? You said it was my similarities, or did I misunderstand you?

    If so, how did you get them? Unless I'm losing my mind, I never published them, for the simple reason that I don't have them, so how did you get them?

    Or do you mean those are the similarities on G25 for the "Lombard" samples? All of the Bergamo samples? Some of them? That doesn't look Bergamo centered to me. Perhaps you should do it again.

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    Here is my Dodecad K12b with the new regional samples.
    There can be no covenants between men and lions

  6. #256
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    Quote Originally Posted by Angela View Post
    It's simple enough; please label any maps you post
    Quote Originally Posted by Angela View Post

    What is the second map using G25 supposed to represent?

    Was the first map based on G25 coordinates? You said it was my similarities, or did I misunderstand you?

    If so, how did you get them? Unless I'm losing my mind, I never published them, for the simple reason that I don't have them, so how did you get them?

    Or do you mean those are the similarities on G25 for the "Lombard" samples? All of the Bergamo samples? Some of them? That doesn't look Bergamo centered to me. Perhaps you should do it again.
    It must be a language thing then, I never publish maps of other people. They are all mine.

    The second map is exactly the same and is based on the same spreadsheet (although the Galician part varies), only that it shows more areas of "influence" due to a greater distance. I explain how I can, sorry.

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    Quote Originally Posted by Duarte View Post
    My results "Vahaduo Dodecad K12b updated spreadsheet" with following sources: Vahaduo default + post #185(Jovialis) + post #205(Duarte) + post #249(Duarte):


    yours does not have many of the lombard samples...........my results, i am full of these lombards

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    Here it is with the ancient samples included.

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    1 members found this post helpful.
    Here it is with the samples that Duarte composed, great work!


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    Quote Originally Posted by torzio View Post
    yours does not have many of the lombard samples...........my results, i am full of these lombards
    Hi torzio,
    No, I don't have many. "Vahaduo Dodecad K12b New Spreadsheet", default samples plus old samples, only registered for me two samples from Collegno (CL94 and CL23) and none from Szólád.

  11. #261
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    Quote Originally Posted by Dou View Post
    [FONT=Verdana]

    It must be a language thing then, I never publish maps of other people. They are all mine.

    The second map is exactly the same and is based on the same spreadsheet (although the Galician part varies), only that it shows more areas of "influence" due to a greater distance. I explain how I can, sorry.
    No problem. I misunderstood.

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    Quote Originally Posted by Jovialis View Post
    Here it is with the samples that Duarte composed, great work!

    Thanks Jovialis

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    Quote Originally Posted by Duarte View Post
    Hi torzio,
    No, I don't have many. "Vahaduo Dodecad K12b New Spreadsheet", default samples plus old samples, only registered for me two samples from Collegno (CL94 and CL23) and none from Szólád.

    my one in post #252 is full of them.......with a few of the originals

    bottom of #252 is the CL23 results.......he is same as me in ydna , that is why i included him

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    2 members found this post helpful.
    Quote Originally Posted by Duarte View Post
    @mlukas
    More some samples to help to create Dodecad K12b Ancient. Now Collegno and Szólád:

    CL23,6.00,1.15,3.48,0.00,36.14,24.04,0.16,0.59,7.0 4,0.00,21.33,0.07
    CL25,9.15,0.00,2.75,0.00,27.51,8.71,1.71,0.47,11.9 6,0.00,37.75,0.00
    CL30,9.65,0.29,3.29,0.16,24.88,7.36,0.00,0.00,15.5 9,0.00,38.78,0.00
    CL31,6.24,0.00,0.29,4.32,25.71,10.65,1.60,2.08,8.6 2,16.23,24.27,0.00
    CL47,4.77,0.00,0.73,0.48,36.62,34.27,0.00,0.00,5.2 5,0.00,17.40,0.48
    CL38,9.60,0.00,1.85,0.44,24.91,8.55,0.00,0.16,14.0 8,0.00,39.63,0.78
    CL36,6.48,0.00,0.90,0.00,34.87,22.28,0.00,0.47,7.9 6,0.90,25.47,0.68
    CL53,8.53,0.00,2.56,1.16,32.56,36.16,1.12,0.00,0.0 0,0.00,17.91,0.00
    CL57,7.93,0.64,1.36,0.00,33.48,33.88,0.00,0.00,4.8 6,0.00,17.12,0.73
    CL49,2.92,0.72,2.04,0.00,35.14,32.01,1.12,0.00,3.4 8,0.00,22.18,0.37
    CL63,8.17,0.00,2.12,0.16,33.38,37.08,0.00,0.00,2.3 8,0.00,16.59,0.12
    CL83,9.14,0.28,0.58,0.26,37.97,45.11,0.00,0.00,2.4 2,0.00,4.15,0.08
    CL84,6.57,0.50,0.00,0.00,38.31,47.28,0.00,0.00,2.1 6,0.00,5.18,0.00
    CL87,8.15,0.44,0.00,0.00,39.39,42.27,0.00,0.00,3.1 9,0.00,6.06,0.45
    CL92,8.70,2.44,1.56,0.00,36.85,47.01,0.00,0.41,0.0 0,0.00,3.03,0.00
    CL93,9.85,0.24,0.00,0.00,36.11,48.86,0.00,1.22,0.0 0,0.00,3.65,0.06
    CL94,5.52,0.00,3.55,0.97,38.92,30.19,0.81,0.00,3.3 7,0.00,16.69,0.00
    CL97,6.63,2.20,1.34,2.60,31.69,41.34,0.00,0.73,0.9 4,0.00,12.51,0.00
    CL110,8.94,2.27,0.00,0.00,25.75,14.78,0.00,4.00,8. 83,0.00,32.68,2.73
    CL102,6.01,0.09,0.00,0.00,37.13,35.21,0.00,0.00,5. 52,0.76,15.28,0.00
    CL145,9.92,0.00,0.00,0.00,35.06,49.04,0.52,0.75,0. 00,0.00,4.33,0.39
    CL151,10.25,0.00,0.53,0.00,34.86,50.10,1.09,0.35,0 .00,0.00,2.40,0.42
    CL121,9.68,0.00,4.39,0.00,30.76,14.90,0.00,0.00,9. 28,0.00,29.94,1.05
    CL146,8.32,0.08,0.30,0.00,34.97,50.00,0.80,1.15,0. 00,0.00,4.34,0.00
    SZ1,4.29,3.44,3.25,0.00,28.24,25.58,0.87,0.18,6.87 ,3.48,23.79,0.00
    SZ2,9.36,0.00,0.00,0.00,33.46,53.49,0.00,0.00,0.00 ,0.00,2.37,1.43
    SZ3,7.98,0.16,0.00,0.00,38.82,39.19,0.00,0.78,2.62 ,0.00,10.43,0.00
    SZ4,7.85,0.87,0.30,0.00,33.91,50.04,0.43,0.00,0.75 ,0.00,5.34,0.51
    SZ5,6.12,1.66,0.72,0.00,32.72,38.67,0.40,0.00,2.81 ,0.00,16.76,0.15
    SZ6,3.82,1.05,0.00,0.00,35.28,37.98,0.00,0.29,5.67 ,0.00,15.91,0.00
    SZ7,8.27,0.00,0.00,0.00,34.72,47.14,0.51,0.32,1.78 ,0.00,6.96,0.29
    SZ8,5.73,0.00,0.00,0.00,36.87,40.78,0.00,0.00,2.12 ,0.00,13.85,0.65
    SZ9,9.39,0.00,0.00,0.00,35.66,51.13,1.01,0.43,0.00 ,0.00,2.09,0.25
    SZ11,8.79,0.12,0.00,0.00,33.57,46.48,0.00,0.00,0.2 0,0.11,10.04,0.69
    SZ12,7.64,0.00,0.24,0.00,34.09,46.15,0.91,0.26,0.2 0,0.00,10.51,0.00
    SZ13,8.10,0.00,0.32,0.00,33.18,49.56,0.26,0.00,0.0 0,0.00,8.46,0.13
    SZ14,10.42,0.00,0.00,0.52,34.98,41.73,0.00,0.00,3. 23,0.00,8.38,0.74
    SZ15,9.16,1.46,0.00,0.53,34.40,45.48,0.81,0.00,0.8 8,0.00,6.81,0.47
    SZ16,10.65,0.98,0.13,0.00,35.89,50.69,0.00,0.00,0. 00,0.00,1.51,0.16
    SZ18,6.58,0.00,2.05,0.00,33.05,35.87,0.00,0.00,4.5 3,1.11,16.74,0.07
    SZ19,1.57,0.00,1.51,0.00,36.36,14.95,0.00,0.00,10. 04,0.00,35.34,0.22
    SZ20,0.00,0.00,0.00,4.38,25.58,34.44,4.79,0.00,0.0 0,0.00,30.82,0.00
    SZ22,8.26,0.00,0.00,0.00,33.38,48.32,1.44,0.00,0.0 0,0.63,7.28,0.68
    SZ23,8.82,0.69,0.00,0.00,35.39,42.07,0.00,0.00,1.8 3,0.00,10.75,0.45
    SZ24,6.45,0.17,0.00,0.72,33.63,45.85,0.65,0.00,2.2 8,0.09,9.68,0.48
    SZ25,8.36,3.39,0.00,0.95,29.03,45.14,0.18,2.62,0.2 9,0.62,9.41,0.00
    SZ27,9.39,0.56,0.00,0.00,31.56,33.94,0.08,0.00,4.8 1,0.00,19.35,0.32
    SZ28,2.85,0.00,1.88,0.00,38.56,26.04,1.58,0.17,5.3 1,0.55,23.05,0.00
    SZ30,9.81,0.00,1.07,0.00,33.04,44.28,0.99,0.00,0.0 0,0.62,9.39,0.80
    SZ31,5.14,0.00,2.09,0.00,33.09,22.65,0.00,0.93,8.1 1,0.00,28.00,0.00
    SZ35,0.12,0.00,0.00,4.53,27.70,12.28,0.00,0.97,28. 13,0.00,26.26,0.00
    SZ36,5.31,0.00,2.69,0.00,32.16,22.10,0.15,0.00,9.9 6,0.00,27.22,0.41
    SZ37,5.09,0.92,3.42,0.00,28.94,24.21,0.00,0.41,8.7 9,0.00,28.11,0.11
    SZ38,7.72,0.00,0.00,0.51,35.07,43.13,0.25,0.92,2.8 0,0.00,8.98,0.62
    SZ40,6.88,0.00,2.06,0.00,33.24,12.47,0.00,0.00,11. 10,0.00,33.41,0.84
    SZ41,3.73,0.00,0.00,0.00,33.87,52.79,0.26,0.00,0.8 7,0.11,6.59,1.76
    SZ42,8.55,0.00,0.00,0.00,33.30,45.35,0.00,0.00,1.6 7,0.00,10.51,0.62
    SZ43,4.95,0.00,1.98,0.56,35.82,22.96,0.26,0.05,6.3 1,0.00,26.81,0.30
    SZ45,6.09,0.00,0.47,0.00,35.11,33.72,0.00,0.96,5.9 7,1.16,15.94,0.59


    Source:

    Collegno Longobards on GEDmatch

    Kit Number: UU5731879
    Name: CL23

    Kit Number: QD2543537
    Name: CL25

    Kit Number: NZ1152016
    Name: CL30

    Kit Number: WK4740429
    Name: CL31

    Kit Number: RS3778199
    Name: CL47

    Kit Number: SW6326785
    Name: CL38

    Kit Number: WU7470506
    Name: CL36

    Kit Number: NC7956297
    Name: CL53

    Kit Number: RP8536010
    Name: CL57

    Kit Number: BR2498284
    Name: CL49

    Kit Number: WG5925191
    Name: CL63

    Kit Number: GF5389415
    Name: CL83

    Kit Number: XA3720720
    Name: CL84

    Kit Number: PE7670115
    Name: CL87

    Kit Number: DV8389110
    Name: CL92

    Kit Number: LP1921598
    Name: CL93

    Kit Number: ZQ6809113
    Name: CL94

    Kit Number: CA9725839
    Name: CL97

    Kit Number: SJ4379167
    Name: CL110

    Kit Number: HU4726947
    Name: CL102

    Kit Number: SU3968596
    Name: CL145

    Kit Number: UK8807731
    Name: CL151

    Kit Number: GL9210858
    Name: CL121

    Kit Number: XW7223819
    Name: CL146


    And here are all of the Szólád samples on Gedmatch:

    Kit Number: LX9522162
    Name: SZ1

    Kit Number: DQ5538890
    Name: SZ2

    Kit Number: XL9733057
    Name: SZ3

    Kit Number: UA7388446
    Name: SZ4

    Kit Number: SE6751075
    Name: SZ5

    Kit Number: LL1292414
    Name: SZ6

    Kit Number: UX4123860
    Name: SZ7

    Kit Number: UG6245064
    Name: SZ8

    Kit Number: LY7666778
    Name: SZ9

    Kit Number: WX9701878
    Name: SZ11

    Kit Number: RT8592756
    Name: SZ12

    Kit Number: RP1749276
    Name: SZ13

    Kit Number: HM6319499
    Name: SZ14

    Kit Number: RD7767956
    Name: SZ15

    Kit Number: JB8452859
    Name: SZ16

    Kit Number: GP9641645
    Name: SZ18

    Kit Number: QA1470938
    Name: SZ19

    Kit Number: UB5566403
    Name: SZ20

    Kit Number: ZK5912932
    Name: SZ22

    Kit Number: SX7411199
    Name: SZ23

    Kit Number: FJ2528471
    Name: SZ24

    Kit Number: SG8142119
    Name: SZ25

    Kit Number: EY6160897
    Name: SZ27

    Kit Number: AW3972989
    Name: SZ28

    Kit Number: EJ9998826
    Name: SZ30

    Kit Number: NM6192702
    Name: SZ31

    Kit Number: UU6914129
    Name: SZ32

    Kit Number: DB9262516
    Name: SZ35

    Kit Number: BY5848416
    Name: SZ36

    Kit Number: BF8929036
    Name: SZ37

    Kit Number: ZJ3278878
    Name: SZ38

    Kit Number: TZ5280008
    Name: SZ40

    Kit Number: DH1542070
    Name: SZ41

    Kit Number: QF6361492
    Name: SZ42

    Kit Number: JH3368939
    Name: SZ43

    Kit Number: LN6607043
    Name: SZ45
    Thank you Duarte. Thanks to Jovialis too.



    3.74228540 TSI30
    5.60898387 Tuscan
    6.11292074 North_Italian
    6.32979463 N_Italian
    6.36315173 SZ43
    7.68900514 CL36
    8.38781259 SZ28
    8.54175041 O_Italian
    8.87561829 C_Italian
    8.99296392 SZ31
    9.00708055 CL23
    9.10498215 IA_Castel_di_Decima_R1016
    9.40529638 LA_Celio_R36
    9.61917356 IA_Veio_Grotta_Gramiccia_R1015
    9.80181106 IA_Protovillanovan_Martinsicuro_R1
    10.14013314 SZ36
    10.29759195 LA_S_Ercolano_Necropolis_Ostia_R118
    10.76144972 IA_Civitavecchia_R474
    10.89582948 IA_Boville_Ernica_R1021
    10.91793937 IA_Civitavecchia_R473
    11.93190680 SZ19
    12.94033230 MA_Tivoli_Palazzo_Cianti_R969
    13.11815917 CL121
    13.18377791 IA_Latin_Ardea_R851
    13.23101281 MA_Tivoli_Palazzo_Cianti_R970
    13.42359490 SZ37
    13.49423210 SZ40
    13.78290245 LA_S_Ercolano_Necropolis_Ostia_R121
    13.98591792 Imperial_Civitanova_Marche_R836
    14.09673366 IA_Latin_Prenestina_Selicata_R437
    14.36188010 MA_Villa_Magna_R1290
    15.04395892 CL49
    15.18034585 MA_Villa_Magna_R60
    15.24360194 SZ1
    15.29054937 CL94
    15.43267961 Imperial_Monterotondo_R1549
    15.55414093 IA_Civitavecchia_R475
    15.60190373 MA_Tivoli_Palazzo_Cianti_R973
    15.70859319 Baleares
    16.24219813 MA_Villa_Magna_R59
    16.78342039 MA_Villa_Magna_R57
    17.44167136 Greek
    17.53070449 Sicilian
    17.68129237 IA_Latin_Prenestina_Colombella_R435
    17.77509212 S_Italian_Sicilian
    17.99878607 MA_Villa_Magna_R65
    18.04604943 Galicia
    18.35835232 CL47
    18.48941589 Extremadura
    18.50714186 CL110


    With the K12b updated:
    3.35070082 France_Corsica
    5.88253772 Italy_Tuscany
    6.05046701 Italy_Emilia
    6.36315173 SZ43
    6.46549999 Italy_Liguria
    7.41275253 Italy_Romagna
    7.49533572 Italy_Lombardy
    7.68900514 CL36
    8.38781259 SZ28
    8.99296392 SZ31
    9.00708055 CL23
    9.10498215 IA_Castel_di_Decima_R1016
    9.37771817 Italy_Marche
    9.40447500 Italy_Piedmont
    9.40529638 LA_Celio_R36
    9.61917356 IA_Veio_Grotta_Gramiccia_R1015
    9.80181106 IA_Protovillanovan_Martinsicuro_R1
    9.81684050 Italy_Veneto
    10.14013314 SZ36
    10.29759195 LA_S_Ercolano_Necropolis_Ostia_R118
    10.41448482 Italy_Lazio
    10.76144972 IA_Civitavecchia_R474
    10.89582948 IA_Boville_Ernica_R1021
    10.91793937 IA_Civitavecchia_R473
    11.46905892 Swiss_Italian
    11.93190680 SZ19
    12.79029632 Italy_Trentino
    12.93960726 Italy_FriuliVG
    12.94033230 MA_Tivoli_Palazzo_Cianti_R969
    13.11815917 CL121
    13.18377791 IA_Latin_Ardea_R851
    13.23101281 MA_Tivoli_Palazzo_Cianti_R970
    13.42359490 SZ37
    13.49423210 SZ40
    13.78290245 LA_S_Ercolano_Necropolis_Ostia_R121
    13.98591792 Imperial_Civitanova_Marche_R836
    14.09673366 IA_Latin_Prenestina_Selicata_R437
    14.31793630 Albanian_Kosovo
    14.36188010 MA_Villa_Magna_R1290
    14.65967257 Albanian_North
    14.71938139 Italy_Aosta_Valley
    14.73174123 Italy_Abruzzo
    15.04395892 CL49
    15.18034585 MA_Villa_Magna_R60
    15.24360194 SZ1
    15.29054937 CL94
    15.43267961 Imperial_Monterotondo_R1549
    15.55414093 IA_Civitavecchia_R475
    15.60190373 MA_Tivoli_Palazzo_Cianti_R973
    15.70859319 Baleares

    It seems I'm highest to the Szolad and Collegno samples which have some IBS ancestry as well as TSI, and especially some smaller amount of GB and CEU.

  15. #265
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    1 members found this post helpful.
    Quote Originally Posted by mlukas View Post
    Author wasn't me, Davidski or Sikeliot. I can't say who but the same who sent it for K13.
    Could we get links to the original files; Are there BAM files, like the Ancient Rome paper? There are a lot of duplicitous characters in this community, unfortunately. Not accusing you of that, but it would be great to verify the file, since we don't know the origin. At any rate, thanks for all you've contributed thus far.

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    1 members found this post helpful.
    @Duarte, I've been producing them in AncestryDNA format. Just a heads up to keep it consistent :)

    This is a wonderful undertaking imo.

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    Can you post guys your Dodecad K12b Upodated SINGLE results? Without ancients but using new Italian?

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    Quote Originally Posted by Jovialis View Post
    Could we get links to the original files; Are there BAM files, like the Ancient Rome paper? There are a lot of duplicitous characters in this community, unfortunately. Not accusing you of that, but it would be great to verify the file, since we don't know the origin. At any rate, thanks for all you've contributed thus far.
    I responded about Dodecad K12b Italian list to Angela. Maybe I was misundestood. It wasn't about K13 Ancient.

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    Quote Originally Posted by torzio View Post
    my one in post #252 is full of them.......with a few of the originals

    bottom of #252 is the CL23 results.......he is same as me in ydna , that is why i included him
    Thanks by explanation Torzio. Cheers:)

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    Quote Originally Posted by Jovialis View Post
    @Duarte, I've been producing them in AncestryDNA format. Just a heads up to keep it consistent :)

    This is a wonderful undertaking imo.
    Thanks for the alert Jovialis. When converting the ancient Rome samples files, that were in BAM format, I chose the option recommended by WGS EXTRACT: “Combined Kit All SNPs”. The final file generated is in the txt format. Cheers:)

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    Quote Originally Posted by Duarte View Post
    Thanks for the alert Jovialis. When converting the ancient Rome samples files, that were in BAM format, I chose the option recommended by WGS EXTRACT: “Combined Kit All SNPs”. The final file generated is in the txt format. Cheers:)
    I choose to put it in Ancestry format, is because it works best with Admixture Studio, where I got the results from.

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    Quote Originally Posted by mlukas View Post
    Can you post guys your Dodecad K12b Upodated SINGLE results? Without ancients but using new Italian?
    @mlukas
    I am not Italian, but here we go:

    Dodecad K12b updated spreadsheet:



    Dodecad K12b original spreadsheet:


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    Quote Originally Posted by Jovialis View Post
    I choose to put it in Ancestry format, is because it works best with Admixture Studio, where I got the results from.
    Hi Jovialis.
    I purchased Admix Studio PRO. The results obtained from upload the files generated by WGS in the recommended format were displayed in 1 or 2 minutes by Admix Studio. Very fast. It worked very well with me. Cheers :)

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    1 members found this post helpful.
    Quote Originally Posted by Duarte View Post
    Hi Jovialis.
    I purchased Admix Studio PRO. The results obtained from upload the files generated by WGS in the recommended format were displayed in 1 or 2 minutes by Admix Studio. Very fast. It worked very well with me. Cheers :)
    I bought the Pro version as well. The files are processed much faster than the regular version.

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    Dodecad K12b Oracle results:

    The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.

    Kit M174504

    Admix Results (sorted):

    # Population Percent
    1 North_European 44.49
    2 Atlantic_Med 36.86
    3 Caucasus 9.54
    4 Gedrosia 7.66
    5 Southwest_Asian 1.34
    6 Sub_Saharan 0.1

    Single Population Sharing:

    # Population (source) Distance
    1 Mixed_Germanic (Dodecad) 4.34
    2 German (Dodecad) 4.98
    3 Dutch (Dodecad) 5.27
    4 CEU30 (1000Genomes) 7.58
    5 Kent (1000Genomes) 7.6
    6 English (Dodecad) 7.79
    7 British_Isles (Dodecad) 8.7
    8 French (Dodecad) 9.79
    9 Cornwall (1000Genomes) 10.11
    10 British (Dodecad) 10.22
    11 French (HGDP) 10.28
    12 Argyll (1000Genomes) 10.36
    13 Orkney (1000Genomes) 10.57
    14 Irish (Dodecad) 10.76
    15 Orcadian (HGDP) 10.8
    16 Hungarians (Behar) 12.09
    17 Norwegian (Dodecad) 12.7
    18 Swedish (Dodecad) 14.01
    19 Romanians (Behar) 22.57
    20 Cataluna (1000Genomes) 22.9

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 67.5% German (Dodecad) + 32.5% French (HGDP) @ 0.66
    2 89.8% German (Dodecad) + 10.2% French_Basque (HGDP) @ 0.88
    3 84.6% German (Dodecad) + 15.4% Valencia (1000Genomes) @ 0.9
    4 85% German (Dodecad) + 15% Aragon (1000Genomes) @ 0.96
    5 84.1% German (Dodecad) + 15.9% Cantabria (1000Genomes) @ 1
    6 82.4% German (Dodecad) + 17.6% Cataluna (1000Genomes) @ 1.01
    7 82.6% Dutch (Dodecad) + 17.4% Bulgarians (Yunusbayev) @ 1.07
    8 88.1% German (Dodecad) + 11.9% Pais_Vasco (1000Genomes) @ 1.07
    9 83.8% German (Dodecad) + 16.2% Spaniards (Behar) @ 1.18
    10 85% German (Dodecad) + 15% Castilla_La_Mancha (1000Genomes) @ 1.21
    11 81.5% Dutch (Dodecad) + 18.5% Romanians (Behar) @ 1.26
    12 70.8% Norwegian (Dodecad) + 29.2% Tuscan (HGDP) @ 1.32
    13 82.8% Dutch (Dodecad) + 17.2% Bulgarian (Dodecad) @ 1.36
    14 84.1% German (Dodecad) + 15.9% Spanish (Dodecad) @ 1.37
    15 69.9% Norwegian (Dodecad) + 30.1% TSI30 (Metspalu) @ 1.47
    16 54.5% Cornwall (1000Genomes) + 45.5% Hungarians (Behar) @ 1.51
    17 85.9% German (Dodecad) + 14.1% Andalucia (1000Genomes) @ 1.6
    18 72.5% British_Isles (Dodecad) + 27.5% Romanians (Behar) @ 1.6
    19 61.8% Kent (1000Genomes) + 38.2% Hungarians (Behar) @ 1.64
    20 84.3% German (Dodecad) + 15.7% Castilla_Y_Leon (1000Genomes) @ 1.64

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