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Thread: Single thread for G25 modelling requests

  1. #241
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    Quote Originally Posted by Milton1997 View Post
    Is it just "in the range of typical noise" then? Based on your mothers results, it seems like that. But it really likes Yoruba though. Actually, Gulf of Guinea african has been the most consistent admixture result so far
    I can't tell just from this. I suspect it is not from looking at many primarily-European Americans with Colonial ancestry. Many have large, coherent African subsegments that match/triangulate with others who are African at the same places. It is easy to find these spots with a chromosome painter and a low-K calculator. The same holds true for Amerind or any other non-Euro ancestry that shows up persistently in admixture tests. If you are on Gedmatch and are willing to PM me your kit number, I can look at it for you.

    My mother's Balkan/South Asian segments often lead to one common ancestor using her matches family trees and one of the group nicknames himself as "Roma Bob". He is like five percent South Asian and matches full Roma persons himself. My father's persistent archaic African signal tends to be part of some very non-Euro segments that are also SW Asian, Caucasian, Siberian, and East Asian often with a layer of false Amerind. These segments match lists of Ashkenazi on Gedmatch when I search for matches using them. There probably is a source/reason/explanation why you get these results, but the details must be explored.
    Last edited by randwulf; 08-04-2021 at 11:55 AM.

  2. #242
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    Quote Originally Posted by Milton1997 View Post
    It should be a video game title though! When are we going to get to play as Yamnaya vs Neolithic farmers in civ games?
    Maybe in future Age of Empires titles, but I guess Yamnayas will have better weapons.

  3. #243
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    Quote Originally Posted by mokordo View Post
    Code:
    Neolithic_Europe:Iberia_N,0.1239407,0.1755737,0.0341921,-0.0626261,0.0768007,-0.0339317,-0.004439,-0.0011793,0.0618117,0.0996021,0.0021292,0.015586,-0.0343077,-0.0108723,-0.0189858,-0.0058929,0.0074029,0.001844,0.0048463,-0.0070036,0.002468,0.0035996,-0.008148,-0.0235909,9.3e-05
    Neolithic_Europe:BGR_N,0.120368,0.183049,0.0082968,-0.086241,0.0510865,-0.0429492,0.00235,-0.002942,0.0388085,0.085742,0.0137622,0.0133382,-0.0244175,-0.0001377,-0.0350498,-0.0144855,0.0216762,0.0030408,0.007982,-0.0117242,-0.0129145,0.0094902,-0.0033585,-0.0052118,-0.005269
    Neolithic_Europe:CZE_N,0.122929,0.1843185,0.019422,-0.0773585,0.064627,-0.0444835,-0.009165,0.001385,0.0488815,0.084102,0.001299,0.0178345,-0.0246775,0.0060555,-0.027619,-0.011403,0.0042375,0.0032935,0.01169,-0.01507,-0.005553,0.010201,-0.012078,-0.0103625,-0.004012
    Neolithic_Europe:GRC_N,0.118376,0.18178,-0.001131,-0.105622,0.057241,-0.051037,-0.00423,-0.003923,0.039064,0.090207,0.003735,0.013638,-0.019177,-0.007569,-0.046959,-0.004243,0.040028,0.003927,0.004022,-0.013506,-0.012228,0.014096,0.00037,0.001325,-0.004311
    Neolithic_Europe:HUN_Starcevo_N,0.122246,0.1886854,0.0077688,-0.0985152,0.0593956,-0.0521526,-0.0032432,-0.0068304,0.0448726,0.0865622,0.008217,0.0126786,-0.0229534,0.0046514,-0.0378388,-0.0226466,0.0074318,0.002179,0.0110612,-0.0154824,-0.0138756,0.0108072,-0.0017254,-0.0052776,-0.0043348
    Neolithic_Europe:ITA_Sardinia_N,0.1201974,0.1748742,0.0429918,-0.0535534,0.0780454,-0.029172,-0.006392,0.0015692,0.0629932,0.094289,0.0031506,0.0159756,-0.0350544,-0.0134594,-0.0193538,-0.0040042,0.0115,-0.0011148,0.0076926,-0.008329,0.0036184,0.003586,-0.015258,-0.0290884,0.0016286
    Neolithic_Europe:ITA_N,0.1246362,0.1774638,0.013859,-0.0751782,0.0597805,-0.0377198,-0.0025262,-0.0014422,0.0414162,0.084694,0.0013802,0.0142372,-0.0270562,-0.00289,-0.026669,-0.0019558,0.0156135,0.0035475,0.0073848,-0.0041895,-0.002589,0.0029367,-0.0081343,-0.017141,0.0007482
    Neolithic_Europe:ROU_N,0.126913,0.1848265,0.011125,-0.0999685,0.05878,-0.0541045,-0.00094,-0.004615,0.0459155,0.091574,0.0043845,0.013563,-0.027428,0.0013765,-0.0468235,-0.0113365,0.024838,0.0012035,0.0117525,-0.012318,-0.014662,0.0054405,-0.006532,0.0038555,-0.0070055
    Neolithic_Europe:SRB_N,0.1277662,0.1822878,0.010748,-0.0957695,0.0574722,-0.0440648,-0.00094,-0.005769,0.039013,0.0868812,0.0036942,0.0131508,-0.022262,0.0014108,-0.0391552,-0.01369,0.0202748,0.000697,0.0124128,-0.0138505,-0.007331,0.0062138,-0.0083192,0.0020182,5.98e-05
    Neolithic_Europe:Wales_N,0.12236,0.1675625,0.0494025,-0.0421515,0.0829385,-0.0207775,-0.003995,-0.000808,0.0583915,0.085013,-0.002111,0.0109405,-0.031665,-0.0063305,-0.0109935,-0.00716,0.0065845,0.002217,-0.0023885,-0.004752,0.014911,0.006677,-0.0162075,-0.0409095,-0.001916
    Neolithic_Europe:Scotland_N,0.1269127,0.1690178,0.0542928,-0.0322677,0.0862828,-0.0224879,-0.0037679,0.0030922,0.0634297,0.0853533,-0.0002544,0.0123091,-0.0271157,-0.0115236,-0.0072611,0.0027269,0.0076274,0.0045017,0.0042653,-0.0041436,0.0120538,0.0032151,-0.0154018,-0.0339485,-0.0001358
    Neolithic_Europe:England_N,0.1257112,0.1700446,0.0558139,-0.0370732,0.0841866,-0.0225592,-0.0048307,0.0018717,0.0641522,0.0895791,0.0026342,0.013388,-0.0261313,-0.0128294,-0.0092139,0.0046407,0.0148638,0.0027167,0.0030586,-0.000264,0.0108697,0.0025142,-0.014379,-0.031477,0.0003326
    Bronze_Age_Invaders:AN10,0.1242948,0.0883510,0.0436707,0.1151505,-0.0285283,0.0451246,0.0043710,-0.0021923,-0.0563668,-0.0732041,0.0018024,0.0009291,-0.0029287,-0.0225426,0.0358843,0.0144389,-0.0011735,-0.0042316,-0.0040350,0.0123809,-0.0037808,0.0000741,0.0072346,0.0193519,-0.0029337
    Bronze_Age_Invaders::BN10,0.1160995,0.0872339,0.0400881,0.1102730,-0.0310825,0.0437021,0.0032196,-0.0054228,-0.0573076,-0.0751905,-0.0004059,-0.0022330,-0.0009812,-0.0235335,0.0315685,0.0104348,-0.0031815,-0.0024704,-0.0011188,0.0094544,-0.0050411,0.0015704,0.0124357,0.0203281,-0.0051253
    Africa:ETH_4500BP,-0.511066,0.043668,0.000754,0.000969,-0.00277,-0.011435,0.050997,-0.045229,0.089172,-0.087838,-0.012991,-0.002997,-0.031219,0.000688,0.02158,-0.029965,0.027772,0.039273,0.00176,-0.009004,0.000374,0.006183,-0.003451,-0.00241,-0.000838
    Asia:Neolithic:CHN_Yellow_River_LN,0.0166466,-0.4503874,0.0109365,-0.0657709,0.0545101,0.0217886,0.0037894,0.0012404,-0.0097149,0.0040092,-0.0851524,-0.0100032,0.0123945,-0.0059179,-0.0088896,-0.000895,0.001483,-0.0003801,-0.0048392,-0.0075191,0.0172975,0.007543,0.0128639,-0.0006476,0.0073496
    Asia:Neolithic:RUS_Yakutia_Ymyiakhtakh_LN,0.0364232,-0.4186518,0.135575,-0.0031492,-0.1417958,-0.0745335,0.0231485,0.032191,0.023111,0.003508,0.064387,0.0022855,0.001821,-0.0322725,-0.0293495,-0.019358,0.0014992,0.0118135,0.0232855,0.006128,0.0260477,-0.025225,0.0051148,0.0064162,0.0107775
    Levant:PPNB,0.0725625,0.1650235,-0.0309238,-0.1380835,0.0323138,-0.062541,-0.012103,-0.0141338,0.0735775,0.0367207,0.0194055,-0.0170098,0.036459,-0.000241,-0.021342,0.0067288,0.0089638,-0.0013935,-0.0054052,0.0192277,-0.0037435,0.007852,-0.0014175,-0.0062658,-0.0047002
    North_Africa_Neolithic:MAR_EN+LN,-0.0759773,0.1200863,-0.0112193,-0.0894710,0.0378528,-0.0570333,-0.0535235,0.0151150,0.1169368,0.0292488,0.0211918,-0.0123268,0.0390605,-0.0375368,0.0368480,-0.0119330,0.0249358,-0.0347760,-0.0913508,0.0167893,-0.0282940,-0.0701110,0.0472043,-0.0099110,0.0087120
    SSA:CMR_Shum_Laka_3000BP,-0.6129375,0.0528075,0.013765,0.0272935,0.000769,-0.001813,0.1482915,-0.1137645,0.00542,0.004374,-0.001056,-0.0400145,-0.025272,0.0019955,0.008279,-0.0068285,0.005802,0.016153,-0.0067245,0.0010005,-0.001934,-0.0020405,-0.00456,0.000482,-0.006586
    SSA:CMR_Shum_Laka_8000BP,-0.602693,0.055346,0.0148965,0.0263245,-0.0064625,0.00502,0.1243205,-0.099919,0.0138055,-0.007016,-0.00065,-0.0242785,-0.0203665,-0.0052295,0.0021035,-0.00179,0.0127125,0.017356,-0.0011945,-0.0040645,-0.003494,-0.000371,0.0016025,-0.0009035,-0.0020955
    Amerindian:BRA_LapaDoSanto_9600BP,0.050765,-0.3095332,0.1206032,0.098515,-0.1156522,-0.017626,-0.284645,-0.3400012,-0.0136212,-0.0184422,0.002241,-0.003267,0.0004162,0.017478,-0.0065688,0.0064438,0.006493,-0.001267,0.0026898,0.003727,-0.0010482,0.007963,-0.002662,-0.0043378,0.001413
    At least with this model your scaled coordinates do not mark any African or Amerindian (scaled):

    Target: Milton_scaled
    Distance: 3.9833% / 0.03983258

    53.2 Neolithic_Europe
    46.8 Bronze_Age_Invaders

    "Bronze Age Invaders" is not a tittle for a new 80s video game remake, they are 2 averages made of 10 Yamnaya individual samples each one, first one more "northern" and second one more "southern" geographically according to the sites where they were found. (at least accroding to the labels in datasheet).

    Edit:If you add Yoruba to the sources the result is exactly the same, but I didnīt want to use modern references in this model.

    With titles like that, I couldn’t resist!


    Target: JMcB_scaled
    Distance: 3.3130% / 0.03313042

    53.4 Neolithic_Europe:Scotland_N
    46.6 Bronze_Age_Invaders:AN10


    Distance to: JMcB_scaled
    0.14563126 Neolithic_Europe:Scotland_N
    0.15046880 Neolithic_Europe:England_N
    0.15180123 Neolithic_Europe:Wales_N
    0.16592001 Bronze_Age_Invaders:AN10
    0.16686670 Neolithic_Europe:ITA_Sardinia_N
    Paper Trail: 42.25% English, 31.25% Scottish, 12.5% Irish, 6.25% German, 6.25% Sicilian & 1.5% French. Or: 86% British Isles, 6.25% German, 6.25% Sicilian & 1.5% French.
    LDNA(c): 86.3% British Isles (48.6% English, 37.7% Scottish & Irish), 7.8% NW Germanic, 5.9% Europe South (Aegean 3.4%, Tuscany 1.3%, Sardinia 1.1%)
    BigY 700: I1-Z140 >I-F2642 >Y1966 >Y3649 >A13241 >Y3647 >A13248 (circa 620 AD) >A13242/YSEQ (circa 765 AD) >FT80854 (circa 1650 AD).

  4. The Following 2 Users Say Thank You to JMcB For This Useful Post:

     JerryS. (08-04-2021),  mokordo (08-07-2021)

  5. #244
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    Quote Originally Posted by crazyladybutterfly View Post
    Edit from the Moderator Team (this message appears later in the thread, but could not be moved to the beginning following the thread merger):

    In recent weeks we've noticed a proliferation of requests by members to have others model their G25 coordinates. In the interest of avoiding clutter from multiple threads on very similar topics, we've decided to create a single thread where members can post such requests, and we will proceed to merge some of the existing modelling request threads with this one.

    Please limit your posts to your own G25 coordinates, or the coordinates of close contacts (friends and family members) from whom you have received permission to use their coordinates in this way. Also, similarly to what was stated in our recent announcement with regard to GEDmatch IDs, be sure to respect the privacy of the individual whose coordinates you are posting (yourself included). Please do not include any real life names or other information that would reveal anyone's identity.
    IA_scaled,0.072847,-0.005078,-0.108611,0.081396,-0.068936,0.045738,0.00235,0.008538,0.007567,0.0065 6,-0.006983,0.007793,0.000149,-0.015551,0.009365,0.011403,0.013038,0.001647,-0.004399,-0.007128,0.006988,0.001731,0.001356,-0.002651,0.000599

    IA,0.0064,-0.0005,-0.0288,0.0252,-0.0224,0.0164,0.001,0.0037,0.0037,0.0036,-0.0043,0.0052,0.0001,-0.0113,0.0069,0.0086,0.01,0.0013,-0.0035,-0.0057,0.0056,0.0014,0.0011,-0.0022,0.0005

    I'd appreciate any help/thoughts with my gf's coordinates above - many thanks!

  6. #245
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    Sweden Italy Italy 1861-1946 Sami Vatican Italy Tuscany
    Quote Originally Posted by Ahmed Ali View Post
    IA_scaled,0.072847,-0.005078,-0.108611,0.081396,-0.068936,0.045738,0.00235,0.008538,0.007567,0.0065 6,-0.006983,0.007793,0.000149,-0.015551,0.009365,0.011403,0.013038,0.001647,-0.004399,-0.007128,0.006988,0.001731,0.001356,-0.002651,0.000599

    IA,0.0064,-0.0005,-0.0288,0.0252,-0.0224,0.0164,0.001,0.0037,0.0037,0.0036,-0.0043,0.0052,0.0001,-0.0113,0.0069,0.0086,0.01,0.0013,-0.0035,-0.0057,0.0056,0.0014,0.0011,-0.0022,0.0005

    I'd appreciate any help/thoughts with my gf's coordinates above - many thanks!
    Distance to: IA_scaled
     
    0.03015908 Punjabi_Sikh_India
    0.03298806 Khatri
    0.03487671 Gujar_Pakistan
    0.03491877 Gujar_India
    0.03546868 Sindhi
    0.03563739 Brahmin_Gujarat
    0.03737397 Kohistani
    0.03903309 Punjabi_Jatt
    0.03988467 Kashmiri_Pandit
    0.04282398 Kamboj
    0.04310224 Bahun
    0.05373167 Pashtun
    0.05443545 Ror
    0.05453935 Yusufzai
    0.05625307 Burusho
    0.05835550 Jatt_Pathak
    0.06273295 Tarkalani
    0.06360812 Uthmankhel
    0.06526163 Kshatriya
    0.06661992 Brahmin_Uttar_Pradesh
    0.06767011 Kho_Singanali
    0.06798957 Brahmin_Tamil_Nadu
    0.06841459 Brahmin_West_Bengal
    0.07122291 Iyer
    0.07436199 Kalash



    Target: IA_scaled
    Distance: 2.2743% / 0.02274318 | R2P
    62.6 Tarkalani
    37.4 Kol
    Target: IA_scaled
    Distance: 2.0008% / 0.02000799 | R3P
    52.6 Khatri
    39.8 Brahmin_Tamil_Nadu
    7.6 Spanish_Soria
    Target: IA_scaled
    Distance: 1.9792% / 0.01979198 | R4P
    46.6 Gujar_Pakistan
    32.4 Brahmin_Tamil_Nadu
    12.2 Bahun
    8.8 Spanish_Soria
    Ancient:

    Distance to: IA_scaled
     
    0.03010242 PAK_Saidu_Sharif_H
    0.03440364 PAK_Aligrama_H
    0.03454551 PAK_Barikot_MA
    0.03827630 UZB_Bustan_BA_o2
    0.04228285 PAK_Barikot_H
    0.04258430 PAK_Katelai_IA
    0.04486744 PAK_Butkara_H
    0.04702094 PAK_Loebanr_IA
    0.04771953 PAK_Udegram_IA
    0.04851466 PAK_Gogdara_IA
    0.04959103 PAK_Butkara_IA
    0.05955980 PAK_Barikot_IA
    0.06134748 PAK_Arkotkila_IA
    0.06383402 PAK_Aligrama_IA
    0.07280779 PAK_Katelai_LBA
    0.07944525 PAK_Udegram_MA_Ghaznavid
    0.07982541 PAK_Singoor_MA
    0.08839190 IRN_Shahr_I_Sokhta_BA2
    0.09196136 TKM_Gonur2_BA
    0.09307867 IND_Roopkund_A
    0.10146117 PAK_Loebanr_IA_o
    0.12126326 UZB_Bustan_BA_o1
    0.13209117 TUR_Alalakh_MLBA_o
    0.13452237 KGZ_Aigyrzhal_BA
    0.13995819 TKM_Namazga_Tepe_En_o


    Target: IA_scaled
    Distance: 2.3291% / 0.02329074 | R2P
    90.2 PAK_Butkara_H
    9.8 DEU_Blatterhohle_MN
    Target: IA_scaled
    Distance: 2.4129% / 0.02412912 | R2P
    87.4 PAK_Butkara_H
    12.6 VK2020_DNK_Jutland_IA
    Target: IA_scaled
    Distance: 2.0317% / 0.02031691 | R3P
    75.8 UZB_Bustan_BA_o2
    14.2 PAK_Saidu_Sharif_H_o
    10.0 ITA_Grotta_Continenza_N_o

    +

    Target: IA_scaled
    Distance: 2.5770% / 0.02577002
    55.6 IRN_Shahr_I_Sokhta_BA2_I8728
    20.4 Yamnaya_RUS_Samara
    11.4 TUR_Barcin_N
    10.0 IRN_Ganj_Dareh_N
    1.2 Han
    1.0 WHG
    0.2 Nganassan
    0.2 TUR_Tepecik_Ciftlik_N
    Target: IA_scaled
    Distance: 2.7129% / 0.02712856 | ADC: 0.25x RC
    57.8 IRN_Shahr_I_Sokhta_BA2_I8728
    22.0 Yamnaya_RUS_Samara
    13.4 TUR_Tepecik_Ciftlik_N
    6.8 IRN_Ganj_Dareh_N
    Hidden Content


    Target: Nino_scaled
    Distance: 1.6700% / 0.01669968 | R3P
    53.6 Goth_Kowalewko = Germanic
    39.2 Levant_LBN_MA_o6 = South Euro
    7.2 RUS_Khaptsagai_IA = Steppe + Siberian

  7. #246
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    H11a2a

    United States of America Germany England France Scotland Ireland
    Quote Originally Posted by Ahmed Ali View Post
    IA_scaled,0.072847,-0.005078,-0.108611,0.081396,-0.068936,0.045738,0.00235,0.008538,0.007567,0.0065 6,-0.006983,0.007793,0.000149,-0.015551,0.009365,0.011403,0.013038,0.001647,-0.004399,-0.007128,0.006988,0.001731,0.001356,-0.002651,0.000599

    IA,0.0064,-0.0005,-0.0288,0.0252,-0.0224,0.0164,0.001,0.0037,0.0037,0.0036,-0.0043,0.0052,0.0001,-0.0113,0.0069,0.0086,0.01,0.0013,-0.0035,-0.0057,0.0056,0.0014,0.0011,-0.0022,0.0005

    I'd appreciate any help/thoughts with my gf's coordinates above - many thanks!
    I get models like this with the Ancestry calculator unscaled coordinates and using the slightly randomizing "Alts" presets and the individuals spreadsheet that eliminates outliers:

    Distance: 0.899%

    Khatri: 43.9%
    Kol: 19.7%
    Burusho: 16.6%
    Punjabi_Sikh_India: 12.4%
    Brahmin_West_Bengal: 4.4%
    Tarkalani: 2.9%
    Gujarati: 0.2%

    Distance: 0.928%

    Khatri: 44.1%
    Brahmin_West_Bengal: 22.5%
    Gujarati: 12.8%
    Brahmin_Uttar_Pradesh: 12.6%
    Bahun: 8.0%

    Distance: 0.948%

    Khatri: 36.3%
    Kohistani: 25.4%
    Brahmin_Uttar_Pradesh: 23.4%
    Iyer: 14.8%

    Distance: 0.952%

    Khatri: 43.3%
    Kol: 24.2%
    Kohistani: 22.4%
    Punjabi_Sikh_India: 9.9%
    Maratha: 0.3%

    Distance: 1.025%

    Khatri: 45.2%
    Brahmin_Uttar_Pradesh: 28.6%
    Bahun: 26.2%

    Using the Adam Slow preset with Modern Averages, which I created to try to simulate something like admixture from G25 coordinates (you should mentally transform the references to regions/types and compare to admixture results to verify), I get this:

    Distance: 1.247%

    Brahmin_Tamil_Nadu: 62.4%
    Tarkalani: 10.2%
    Makrani: 7.1%
    Mansi: 6.4%
    Gujar_Pakistan: 5.3%
    Spanish_Soria: 5.3%
    Darginian: 2.4%
    Mbuti: 0.7%
    Ju_hoan_North: 0.2%

  8. The Following 2 Users Say Thank You to randwulf For This Useful Post:

     J-Live (08-13-2021),  JerryS. (08-12-2021)

  9. #247
    Hi everyone!


    rommod_scaled,0.127482,0.136081,0.0445,0.0323,0.03 6007,0.005578,0.00423,0.004384,0.000614,-0.00164,0.003248,-0.001349,0.006987,0.017478,-0.007057,-0.014983,-0.010822,0.00114,-0.001383,-0.009379,-0.001996,-0.002226,0.008258,0.004097,-0.001676

    rommod,0.0112,0.0134,0.0118,0.01,0.0117,0.002,0.00 18,0.0019,0.0003,-0.0009,0.002,-0.0009,0.0047,0.0127,-0.0052,-0.0113,-0.0083,0.0009,-0.0011,-0.0075,-0.0016,-0.0018,0.0067,0.0034,-0.0014

    These are my G25 data. I cannot make much sense of the seemingly quite different results from different sources myself yet (paper trail, 23andme, variety of calculations based on Eurogenes, G25 etc.).

    23andme says 70% Balkan (Romanian; also Bulgarian and Greek as well as possibly Serbian and Croatian as per paternal grandmother), 27% Eastern European (Czech; also Russian as per mother; some Polish as per great uncle mother's side), 1% French and German (mother: 11,5% German) + traces (0.3% Mongolian, sister: 0.5% Korean, mother: 0.4% Cypriot).

    I can provide the following basic paper trail information:
    Father's side: little information, last couple of generations were all born and lived in Romania.
    Mother's side: Maternal mix of Czech and (Western) Russian ancestors; paternal mix of mostly Romanian with some German ancestry, further back Serbian/Croatian names (if I put the last three generations into percentages, I would get: 81.25% Romanian, 6,25% German, 6,25% Czech, 6,25% Russian).

    Any help to make sense of this is appreciated!

    Thank you all so much.
    Cheers, rommod
    Last edited by rommod; 08-13-2021 at 01:56 PM.

  10. #248
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    Quote Originally Posted by rommod View Post
    Hi everyone!
    Thank you all so much.
    Cheers, rommod
    Maybe this one could work well for you (actually for anyone too), I donīt remember if I posted it already in this forum, I named it "four corners of Europe".

    You can delete SW European and NW European or any reference, if you think they are unnecessary for you.

    I would recommend ADD DIST COL:NO (preferably) but 0.25X could also work well.

     
    Code:
    NorthWest_Europe:A,0.1325593,0.1337507,0.0638800,0.0508907,0.0394997,0.0199777,0.0031217,0.0057113,0.0037393,-0.0007613,-0.0054230,0.0055750,-0.0099407,-0.0108430,0.0222443,0.0036457,-0.0109377,0.0022727,0.0024637,0.0005757,0.0058040,0.0025773,0.0010957,0.0142847,0.0009677
    NorthWest_Europe:B,0.13228260,0.13575633,0.06116163,0.04610647,0.03934567,0.01760073,0.00328790,0.00544713,0.00432753,0.00329560,-0.00566140,0.00552183,-0.01298923,-0.01229210,0.02298907,0.00455140,-0.01034353,0.00244507,0.00212870,0.00159910,0.00479467,0.00279477,-0.00034153,0.01318237,0.00036833
    NorthWest_Europe:C,0.13102565,0.13839775,0.06157145,0.04359780,0.04056560,0.01657980,0.00420955,0.00606750,0.00587280,0.00632250,-0.00470165,0.00604745,-0.01316735,-0.01029915,0.02068505,0.00336205,-0.01144795,0.00310430,0.00372315,0.00310190,0.00537285,0.00363740,-0.00201385,0.01408045,0.00036125
    NorthWest_Europe:D,0.13387755,0.12812600,0.07000080,0.05487155,0.03977280,0.02123570,0.00562880,0.00779640,0.00531760,-0.00310225,-0.00426855,0.00259765,-0.00608450,-0.00776585,0.01803785,0.00670525,-0.00632675,0.00230450,0.00208300,0.00281375,0.00635490,0.00392150,0.00270265,0.01419580,0.00005980
    NorthEast_Europe:A,0.1310153,0.1214563,0.0711987,0.0603063,0.0356400,0.0220150,0.0089957,0.0116723,-0.0034180,-0.0234717,-0.0007067,-0.0075860,0.0157850,0.0231097,-0.0123050,-0.0018747,0.0027710,-0.0005210,0.0028207,0.0022073,-0.0037993,-0.0040860,0.0049800,-0.0048143,-0.0007887
    NorthEast_Europe:B,0.13114045,0.12414403,0.07132428,0.05926633,0.03763253,0.02201158,0.00920780,0.01139795,-0.00218298,-0.02191808,-0.00108938,-0.00747203,0.01575333,0.02224508,-0.01138495,-0.00227050,0.00217845,0.00036135,0.00273743,0.00246635,-0.00309238,-0.00325688,0.00427275,-0.00436315,-0.00082948
    NorthEast_Europe:C,0.13419740,0.11830925,0.08826510,0.08638635,0.04299255,0.03189105,0.01198555,0.01426095,-0.00087945,-0.03266560,-0.00175390,-0.01308335,0.02134025,0.02636855,-0.00861145,0.00288380,0.00146670,-0.00143170,0.00147695,0.00325795,-0.00070510,-0.00379000,0.00666760,-0.00428965,0.00284405
    NorthEast_Europe:D,0.128582,0.083663,0.092565,0.078958,0.029816,0.023622,0.008876,0.014773,0.004196,-0.026607,0.004236,-0.007461,0.015216,0.005767,0.001455,-0.002047,-0.006585,0.000171,-0.000392,0.004094,0.007928,0.001223,0.002531,0.005306,0.003258
    SouthWest_Europe:A,0.1114262,0.1457656,0.0391042,-0.0021563,0.0435893,-0.0028766,-0.0027518,0.0023328,0.0245443,0.0311097,-0.0019483,0.0076193,-0.0139167,-0.0119986,0.0110553,0.0002514,-0.0017091,-0.0005234,-0.0038558,-0.0008879,0.0024943,-0.0015599,-0.0005079,-0.0021326,0.0002108
    SouthWest_Europe:B,0.1127253,0.1464038,0.0406260,-0.0010165,0.0449500,-0.0025714,-0.0027779,0.0015101,0.0246433,0.0325341,-0.0026677,0.0075804,-0.0142454,-0.0123391,0.0108006,-0.0001258,-0.0041015,-0.0006735,-0.0030864,-0.0014932,0.0036968,-0.0019572,-0.0022307,-0.0031847,0.0014280
    SouthWest_Europe:C,0.095851,0.144954,0.037951,-0.006129,0.044770,-0.006738,-0.006890,0.003869,0.028790,0.030199,-0.001872,0.006677,-0.013102,-0.011350,0.012704,-0.007795,-0.009323,-0.001110,-0.008124,0.000056,0.003734,-0.006245,0.000020,-0.001047,0.004084
    SouthWest_Europe:D,0.12997965,0.15121785,0.05672945,0.01091560,0.05699690,0.00131690,-0.00236310,0.00186655,0.03097855,0.04340165,-0.00690060,0.01097355,-0.02187710,-0.01639320,0.01558220,0.00089560,-0.00886335,0.00290045,-0.00126605,-0.002245710,0.00947355,0.00248615,-0.00776400,-0.00910345,0.001167849
    SouthEast_Europe:A,0.12579329,0.13828144,0.03578882,0.01114909,0.02941564,0.00586134,0.00544810,0.00497657,0.00085542,0.00215944,-0.00096055,-0.00051699,0.00273532,0.01127594,-0.01323739,-0.00196439,0.00647814,-0.00008437,0.00379195,-0.00369752,-0.00910870,-0.00146335,0.00424785,-0.00031725,-0.00082417
    SouthEast_Europe:B,0.127823,0.135607,0.048372,0.026389,0.033545,0.009399,0.005468,0.006569,0.002045,-0.002582,-0.001803,-0.001773,0.003746,0.013345,-0.009387,-0.003297,0.003073,0.000122,0.004768,-0.002276,-0.005673,-0.002350,0.003726,-0.000711,-0.000164
    SouthEast_Europe:C,0.1242270,0.130858,0.037156,0.0144255,0.028241,0.0057105,0.005408,0.006261,0.000137,0.0020645,-0.0025935,-0.00109,0.002249,0.0110690,-0.011775,-0.0021085,0.005019,-0.000919,0.003392,-0.0021025,-0.0053775,-0.001126,0.003622,0.000366,-0.000794
    SoutEast_Europe:D,0.11140840,0.14591180,-0.00812253,-0.04104343,0.00871315,-0.01319430,0.00090083,-0.00172838,-0.00075845,0.01704973,0.00310060,0.00279748,-0.00398438,0.00354085,-0.00934730,-0.00112803,0.00415830,0.00021075,0.00356465,-0.00389083,-0.00505928,0.00134385,0.00106483,0.00079573,-0.00272183


    References:

     
    Code:
    SouthEast_Europe:A,=(Romanian,+Croatian,+Serbian,_)+Macedonian
    SouthEast_Europe:B=Croatian+Slovenian+Serbian
    SoutEast_Europe:C==Romanian,+Moldovan,
    SouthEast_Europe:D=(Kos+Cyprus)+Thessaly
    
    NorthEast_Europe:A,=Russian_Voronez,+Ukrainian,+Russian_Orel,
    NorthEast_Europe:B=Russian_Voronez,+(Ukrainian+Polish)
    NorthEast_Europe:C=Latvian+Estonian
    NorthEast_Europe:D==Finnish,+Finnish_East,
    
    SouthWest_Europe:A=Portuguese,+Spanish(32 modern references)
    SouthWest_Europe:B=NorthWest_Iberia,+North_Iberia,+NorthEast_Iberia,+SouthWest_Iberia,+SouthEast_Iberia,
    SouthWest_Europe:C=(Asturias+Murcia)+(Lleida+Extremadura)
    SouthWest_Europe:D=French_Basque+Spanish_Basque
    
    NorthWest_Europe:A,=Shetlandic,+Icelandic,+Orcadian,
    NorthWest_Europe:B=irish+Scottish+Welsh
    NorthWest_Europe:C=English+Cornwall
    NorthWest_Europe:D=Norwegian,+Swedish,



    Edit:Iīve seen that this model itīs a different version of this other I posted times ago:https://anthrogenica.com/showthread....corners+Europe
    Last edited by mokordo; 08-13-2021 at 03:43 PM.

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  12. #249
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    Double.

  13. #250
    Quote Originally Posted by mokordo View Post
    Maybe this one could work well for you (actually for anyone too), I donīt remember if I posted it already in this forum, I named it "four corners of Europe".

    You can delete SW European and NW European or any reference, if you think they are unnecessary for you.

    I would recommend ADD DIST COL:NO (preferably) but 0.25X could also work well.
    Target: rommod_scaled
    Distance: 2.4373% / 0.02437315
    71.4 SouthEast_Europe:B
    15.8 NorthEast_Europe:B
    6.8 SouthWest_Europe:C
    3.4 SoutEast_Europe: D
    2.6 NorthWest_Europe:A

    Strange result, Romanian is completely absent (probably because distance to: 0.02484590 SouthEast_Europe:B; 0.03399976 SouthEast_Europe:C; 0.03634199 SouthEast_Europe:A). That's what I meant - in most analyses like these, be it with K13, K36 or now G25, usually what mostly shows up is Serbian/Croatian, Hungarian, Ukraine. Not Romanian though, which is where 2/3 to 3/4 of my ancestors have come from (without knowledge within that group of connections to other ancestry).

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