0



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| Received: 5,592/4 Given: 6,412/2 |
Target: SC_NewDeepModernScaled_Official_Merged
Distance: 1.7028% / 0.01702792 | ADC: 2x RC
57.2 Irish
42.8 Norwegian



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| Received: 5,592/4 Given: 6,412/2 |
If you put all modern pop ave scaled in TARGET along with your coordinates, and put the standard Yamnaya-Barcin-Rochedane as SOURCE you can run the MULTI tool and see where you plot for each of your matches. This allows you to see who you are plotting closest to.
I don't think anyone in NW should be getting 59+ on Yamnaya calcs.
Using Swedish, Irish, Norwegian, Scottish, Danish, and Dutch, you plot above every individual sample in all of NW Europe. I think there is an error somewhere.
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Target: SC_NewDeepModernScaled_Official_Merged
Distance: 1.7028% / 0.01702792 | ADC: 2x RC
57.2 Irish
42.8 Norwegian



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| Received: 5,592/4 Given: 6,412/2 |
show me your NO ADC but aggregated result with these:
Norwegian,0.132092,0.129455,0.068051,0.054531,0.04 0323,0.019871,0.00416,0.006092,0.006151,-0.002287,-0.004644,0.004275,-0.009236,-0.01015,0.020253,0.006557,-0.0072,0.00331,0.002976,0.004108,0.005681,0.00409, 0.000887,0.014107,-6.9e-05
Irish,0.133361,0.134098,0.061169,0.048864,0.037788 ,0.019352,0.003293,0.004713,0.003568,0.002927,-0.006971,0.00584,-0.014189,-0.014076,0.025935,0.005215,-0.011145,0.001894,0.000597,0.001776,0.005114,0.001 279,0.000293,0.014407,0.000661
German,0.130299,0.137378,0.057363,0.037865,0.03956 6,0.015146,0.004177,0.005897,0.003746,0.001633,-0.004331,0.002316,-0.005334,-0.001744,0.008738,0.002822,-0.0033,0.001633,0.003531,0.001114,0.002947,0.00180 1,0.000337,0.00836,7.4e-05
German_East,0.130897,0.138493,0.061094,0.049984,0. 038123,0.016141,0.006316,0.007038,0.002199,-0.00492,-0.005217,-0.00178,-3.7e-05,0.008223,0.001306,-0.003132,-0.007905,0.001188,0.005311,-0.00075,0.000624,-0.001113,0.001772,0.001612,-0.000314
German_Erlangen,0.128569,0.137233,0.056163,0.03807 6,0.038593,0.015097,0.004223,0.005442,0.0041,-0.000112,-0.003119,0.00121,-0.003703,0.001892,0.00443,0.001817,-0.001831,0.0018,0.003111,0.000597,-0.000315,0.00136,0.00183,0.006703,2e-06
German_Hamburg,0.128285,0.13399,0.063467,0.048526, 0.040062,0.020375,0.007562,0.009108,0.00296,-0.003559,-0.003878,8.8e-05,-0.00251,0.000753,0.009436,0.003268,-0.004556,0.002556,0.003993,0.000684,0.00174,0.0015 57,0.002719,0.00735,-0.001035
Swiss_German,0.127624,0.140778,0.046009,0.022731,0 .040623,0.007391,0.002791,0.005134,0.008641,0.0121 64,-0.001522,0.005264,-0.01494,-0.008808,0.008364,-0.001127,-0.002591,0.001219,0.005374,-0.000922,0.001934,0.003509,-0.002557,0.006974,-0.00256
Basque_French,0.128051,0.152025,0.055173,0.012823, 0.056411,0.00251,-0.00141,0.003323,0.030597,0.041204,-0.009272,0.010341,-0.020976,-0.014024,0.013219,-0.001936,-0.011917,0.003028,-0.000716,-0.004415,0.010157,0.002485,-0.00864,-0.00917,7.2e-05
French_Alsace,0.127311,0.140372,0.050317,0.022432, 0.038423,0.008911,0.00292,0.004875,0.006852,0.0106 79,-0.003134,0.004578,-0.009444,-0.00417,0.008561,0.003066,-0.004893,0.002439,0.003243,-0.000716,0.002764,0.001156,-0.001322,0.007137,-0.000314
French_Auvergne,0.125416,0.144656,0.04742,0.012992 ,0.043472,0.003997,-0.000339,0.002513,0.015407,0.022172,-0.002466,0.007355,-0.013969,-0.009669,0.008299,0.001483,-0.000787,0.001497,0.003073,-0.000213,0.001858,0.003737,-0.002282,0.001816,-8.9e-05
French_Bearn,0.126799,0.144814,0.053589,0.006008,0 .053949,0.002175,-0.001692,-0.002054,0.024461,0.039891,-0.008866,0.010236,-0.018999,-0.014327,0.014169,0.001578,-0.005724,-0.000899,-0.001735,-0.003302,0.005465,0.003141,-0.006643,-0.00817,0.000683
French_Bigorre,0.128051,0.147353,0.052269,0.00533, 0.052225,-0.000837,-0.001669,0.000162,0.024809,0.03827,-0.003085,0.007883,-0.021481,-0.014148,0.00874,0.000186,-0.003559,0.002369,-0.000892,-0.002914,0.002508,-0.00089,-0.003291,-0.005904,0.00103
French_Brittany,0.131466,0.13834,0.05785,0.039285, 0.039169,0.015813,0.003155,0.004211,0.008186,0.009 49,-0.005131,0.00559,-0.014368,-0.013102,0.018343,0.004399,-0.007302,0.00128,-0.000462,0.001773,0.004467,0.001787,-0.001254,0.010547,0.000659
French_Chalosse,0.128734,0.14776,0.051892,0.011176 ,0.051333,0.002761,0.00047,0.001777,0.025259,0.039 655,-0.002696,0.008947,-0.020337,-0.015083,0.011088,0.002824,-0.005424,0.001672,-0.000779,-0.002239,0.008273,0.002844,-0.007691,-0.007664,-0.002096
French_Corsica,0.120327,0.151822,0.01953,-0.023002,0.035039,-0.01004,-0.001846,-0.000561,0.015705,0.033792,-0.000603,0.007461,-0.013231,-0.007107,-0.004537,-0.000597,0.004042,0.001249,0.002451,-0.003046,-0.000392,0.000247,-0.002579,-0.001386,-0.00053
French_Nord,0.128275,0.140543,0.051357,0.025605,0. 038273,0.008891,0.001097,0.00442,0.008373,0.012016 ,-0.003484,0.004033,-0.010861,-0.008182,0.011199,0.002543,-0.004607,0.002227,0.004095,0.001031,0.002133,0.001 525,-0.001572,0.007471,1.4e-05
French_Occitanie,0.127039,0.144883,0.048879,0.0179 08,0.043376,0.003416,0.000522,0.003891,0.014856,0. 023589,-0.003288,0.006582,-0.015044,-0.009458,0.010737,0.002567,-0.003709,0.002484,0.001425,4.5e-05,0.003671,0.002446,-0.00255,0.001767,0.000422
French_Paris,0.127171,0.141436,0.050431,0.02399,0. 040903,0.009305,0.002799,0.005454,0.011602,0.01817 4,-0.007706,0.006812,-0.012906,-0.010384,0.01377,0.006063,-0.001825,0.004664,0.002708,-0.000978,0.002201,0.003575,-0.001232,0.011141,-0.001905
French_Pas-de-Calais,0.127861,0.140481,0.054305,0.026809,0.04216 2,0.012736,0.004152,0.001308,0.008522,0.012453,-0.008011,0.002198,-0.01001,-0.012019,0.013663,0.008132,-0.000478,0.001816,-0.003645,0.004252,0.009982,0.001443,-0.002547,0.005904,-0.001437
French_Provence,0.121925,0.143847,0.036891,0.00535 8,0.036858,0.00233,0.002267,0.003638,0.010058,0.02 0453,-0.003869,0.007211,-0.012138,-0.010961,0.005956,0.003174,0.001097,0.002809,0.001 775,-0.001515,0.001541,0.002735,0.000355,0.005444,3.5e-05
French_Seine-Maritime,0.136019,0.137096,0.045254,0.029555,0.039 084,0.016733,0.00423,-0.000692,0.003988,0.006014,-0.003735,0.007493,-0.007582,-0.001651,0.014251,0.003514,-0.007953,-0.002344,0.000943,-0.005002,0.003931,0.005503,0.000863,0.004278,-0.004491
French_South,0.126181,0.144785,0.049618,0.00886,0. 050691,0.002669,0.000269,0.002275,0.02764,0.03866,-0.006774,0.007365,-0.021853,-0.013566,0.010373,0.002765,-0.005104,0.001792,0.000215,0.001912,0.004991,-0.00083,-0.005264,-0.007557,-0.00142
Swiss_French,0.12734,0.14484,0.041436,0.010215,0.0 41162,0.006484,0.000823,0.002884,0.011811,0.019431 ,-0.000751,0.006594,-0.015962,-0.012524,0.008347,0.002171,0.005753,-0.001615,0.003661,-0.000344,0.004788,0.003648,0.001664,0.002576,-0.000479
Danish,0.131248,0.135065,0.066378,0.052438,0.04130 3,0.019457,0.005159,0.007401,0.003436,-0.002558,-0.005359,0.00348,-0.008507,-0.007093,0.018669,0.006117,-0.006519,0.002047,0.00324,0.004346,0.00564,0.00243 5,0.000692,0.013774,0.000201
Dutch,0.127441,0.134179,0.060271,0.044076,0.040844 ,0.016397,0.005402,0.007263,0.004209,0.001924,-0.005635,0.004427,-0.009846,-0.008676,0.01783,0.005623,-0.006516,0.001748,0.003909,0.002816,0.00448,0.0033 85,-5e-06,0.013892,-0.000656
Finnish_Central,0.13077,0.086658,0.089419,0.07831, 0.029544,0.02414,0.010419,0.015025,0.003159,-0.024055,0.003609,-0.006394,0.012768,0.005459,0.002021,0.00056,-0.007186,-0.000451,-5.6e-05,0.002626,0.008083,-0.001869,0.001479,0.008649,0.004338
Finnish_East,0.125855,0.078776,0.094388,0.083842,0 .02739,0.020877,0.007554,0.013945,0.004587,-0.03059,0.007377,-0.0079,0.016225,0.002084,-0.004072,0.008902,0.011008,-0.001647,-0.001365,0.006021,0.009751,0.001131,0.001197,0.008 005,0.00207
Finnish_North,0.128762,0.078323,0.093149,0.079014, 0.027505,0.024577,0.00893,0.015201,0.004704,-0.02754,0.004811,-0.007025,0.016241,0.00812,0.001035,-0.007955,-0.017227,0.001283,-0.000628,0.002376,0.009249,0.000495,0.000632,0.005 859,0.005688
Finnish_Southeast,0.132035,0.09072,0.088456,0.0771 97,0.033271,0.021072,0.009139,0.014051,0.002818,-0.021828,0.003103,-0.005861,0.011513,0.002982,0.001764,0.012714,0.012 821,-0.000985,-0.001508,0.008254,0.008111,-0.000769,0.002054,0.008796,-0.000971
Finnish_Southwest,0.131323,0.096856,0.086313,0.072 11,0.033737,0.022974,0.008549,0.014047,0.004474,-0.020889,0.003897,-0.005807,0.011465,0.008584,0.005293,-0.008569,-0.020112,0.001441,0.001587,-0.000219,0.006863,0.000526,0.002773,0.005121,0.003 907
Swedish,0.132193,0.125885,0.072642,0.058972,0.0402 64,0.02079,0.00638,0.009294,0.003649,-0.006663,-0.004203,0.000533,-0.003045,-0.003352,0.014593,0.005865,-0.005106,0.001622,0.002991,0.005015,0.006773,0.002 526,0.001253,0.011594,0.000212
I get this:
Target: SC_Official_AVE_Scaled
Distance: 1.8913% / 0.01891308
55.6 Irish
16.4 French_Provence
12.0 Finnish_East
9.2 German_East
6.8 Finnish_Southeast
Target: SC_Official_AVE_Scaled
Distance: 1.9674% / 0.01967383 | ADC: 0.5x RC
54.4 Irish
30.8 German_Erlangen
14.8 Finnish_Southeast
Target: SC_Official_AVE_Scaled
Distance: 2.3061% / 0.02306064 | ADC: 2x RC
50.6 Danish
49.4 Dutch
Target: SC_NewDeepModernScaled_Official_Merged
Distance: 1.7028% / 0.01702792 | ADC: 2x RC
57.2 Irish
42.8 Norwegian



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| Received: 5,592/4 Given: 6,412/2 |




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| Received: 82/0 Given: 49/0 |
Haha. It's an abstract of the model. Finns have Uralic ancestry, and when not accounted for, boosts the Steppe artificially.
My take on this is that it's just sheer coincidence. I plot in the Vahaduo PCA among a subset Anglo-Saxons who carry basically the same levels of Steppe ancestry and/or high WHG ancestry.
The Anglo-Saxons from England and the Frisians descend from the same Early Medieval founder population. Frisians genetically remained the the same since then. England is a different story obviously.
If you go back further time, there is a LNBA continuity in the southern North Sea region (Netherlands, Northwestern Germany, Denmark) stretching back to Single Grave and their Bell Beaker heirs.
Last edited by Asega; 01-02-2025 at 12:07 AM.
Eala Frya Fresena



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| Received: 5,592/4 Given: 6,412/2 |
I matched this sample on DNAGenics Ancient Europe report and wonder if you match it? If you don't know, you can check the distance at least to you:
Netherlands_BellBeaker:I4074,0.126344,0.118817,0.0 52043,0.079781,0.017542,0.02259,-0.00235,-0.000923,-0.015135,-0.015126,-0.000974,0.003597,-0.007582,-0.015414,0.022801,0.007955,-0.002608,0.000887,0.002388,0.008129,0.009858,-0.000618,-0.00493,0.007832,0.000479
I get this:
Distance to: SC_Official_AVE_Scaled
0.04541222 Netherlands_BellBeaker:I4074
They are high Yamnaya:
Target: Netherlands_BellBeaker:I4074
Distance: 2.5752% / 0.02575188
64.8 Russia_Samara_EBA_Yamnaya
24.2 Turkey_Barcin_LN.SG
11.0 France_Rochedane
Target: SC_NewDeepModernScaled_Official_Merged
Distance: 1.7028% / 0.01702792 | ADC: 2x RC
57.2 Irish
42.8 Norwegian
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