yes still my distance is high when i fixed it:
Target: Ezio
Distance: 7.8874% / 7.88743612
77.6 Gaulish
21.0 Roman
1.4 SSA
I am probably missing my amazigh, and iberian references and this is why...
I used the old plus the new ones, that is, the ones that are available on Global25's ancient sample spreadsheet.
https://i.imgur.com/C4PfCcr.pngCode:FRA_Grand_Est_IA1:Jeb8___BC_500___Coverage_11.13%,0.119514,0.138112,0.056568,0.022933,0.046162,-0.003904,-0.00329,0.000692,0.014726,0.01057,-0.000325,0.009591,-0.023637,-0.009909,0.019408,0.0118,-0.000782,0.002407,0.001634,0.001,-0.011105,-0.002226,-0.013804,-0.002892,0.002994
FRA_Grand_Est_IA1:NOR2B6___BC_750___Coverage_14.03%,0.127482,0.150298,0.047894,0.009044,0.044624,0.002789,-0.015511,0.010153,0.018816,0.018588,0.012991,0.019183,-0.001784,-0.00812,0.013979,0.01538,0.026859,0.004054,0.004525,0.003627,-0.000499,-0.006925,-0.004807,-0.000241,-0.012214
FRA_Grand_Est_IA1:NOR3-6___BC_550___Coverage_12.85%,0.137726,0.152329,0.054305,0.047481,0.030467,0.021196,-0.005405,0,0.010022,0.003645,-0.003735,0.021881,-0.019177,-0.012524,0.024973,-0.008221,-0.024512,0.011782,0.001634,0.008504,0.002745,0.002597,-0.009244,-0.004338,-0.000239
FRA_Grand_Est_IA2:COL11___BC_340___Coverage_10.38%,0.125205,0.140143,0.060339,0.069768,0.033852,0.017012,-0.00329,0.003231,0.00634,0.005832,-0.001461,0.002997,-0.012042,0.001239,0.021851,-0.009679,-0.01343,-0.011149,0.005279,0.004502,0.007986,0.005441,0.014913,-0.00735,0.002036
FRA_Grand_Est_IA2:COL153A___BC_340___Coverage_12.15%,0.132035,0.158423,0.046763,0.032623,0.034468,0.008646,0.00705,0.011076,0.003068,0.020046,0.004547,-0.007643,-0.002081,-0.004266,0.007736,0.003182,-0.014473,0.00114,0.017723,0.005253,-0.019715,0.004575,-0.000246,-0.013616,0.004311
FRA_Grand_Est_IA2:ERS86___BC_250___Coverage_14.99%,0.127482,0.1635,0.041106,0.028101,0.043085,0.011156,-0.007285,0.002538,0.008795,0.010752,-0.001786,0.005995,-0.014123,0,0.007736,0.026518,-0.004172,0.011402,0.012821,-0.008129,0.000749,0.019166,-0.007272,-0.015183,-0.000359
FRA_Grand_Est_IA2:ERS1164___BC_250___Coverage_15.11%,0.124067,0.120848,0.053928,0.029393,0.033852,0.013666,0.00846,0.006923,-0.00409,0.014397,-0.00341,-0.009292,-0.009514,-0.016515,0.010179,0.008884,-0.002999,0.003421,0,-0.002626,-0.009608,0.003091,0.005053,-0.012893,0.005628
FRA_Grand_Est_LBA:NIED___BC_875___Coverage_10.51%,0.126344,0.127957,0.05506,0.014212,0.048009,0.014223,-0.00282,0.006461,0.021475,0.046652,-0.014777,0.009741,-0.03107,-0.038259,-0.00285,0.00716,0.007562,-0.007095,0.014832,0.011005,0.003119,0.011376,-0.001602,-0.013737,-0.003712
FRA_GrandEst_IA2:I19356___BC_250___Coverage_74.18%,0.130897,0.126941,0.056945,0.037468,0.04647,0.007809,0.003995,0.007615,-0.001432,0.008018,-0.005196,0.005245,-0.011744,-0.010322,0.0095,-0.004508,-0.002347,-0.003927,0.006285,0.005253,-0.003119,-0.003091,0.003451,-0.004579,-0.003353
FRA_GrandEst_IA2:I19357___BC_250___Coverage_77.18%,0.130897,0.139128,0.061848,0.051034,0.051702,0.004462,0.005875,0.008769,0.008385,0.012757,-0.003248,0.003897,-0.008474,-0.006331,0.022937,-0.004243,-0.019818,0.004561,-0.00264,0.000875,0.01435,0.010634,-0.003328,0.00012,-0.00012
FRA_GrandEst_IA2:I19358___BC_250___Coverage_20.21%,0.129758,0.135065,0.047894,0.034561,0.045239,0.016733,0.012456,0,0.011862,0.00893,0.013803,0.009292,-0.009366,-0.00523,0.010993,-0.008618,-0.022817,-0.00152,-0.001383,-0.006378,0.006738,0.002844,-0.000863,0.003735,0.001437
FRA_GrandEst_IA2:I19362___BC_250___Coverage_28.42%,0.134311,0.135065,0.063733,0.049096,0.029852,0.010319,0.0047,0.007615,-0.001023,0.004556,-0.003085,0.005245,-0.009217,-0.008395,0.018594,-0.002917,-0.00352,0.005574,0.007416,0.007379,-0.00025,0.007172,0.003081,-0.000361,-0.006586
FRA_GrandEst_IA2:I20815___BC_250___Coverage_36.99%,0.126344,0.146236,0.056191,0.031977,0.059396,0.009203,0.00611,0.006692,0.013294,0.01385,-0.01023,0.017235,-0.00773,-0.003165,0.014929,-0.015778,-0.020992,0.004687,0.005908,-0.003627,0.007736,0.006554,-0.011462,0.000361,-0.009221
FRA_GrandEst_IA2:I20817___BC_250___Coverage_70.25%,0.130897,0.13405,0.058077,0.043282,0.037853,0.021753,0.005405,-0.000462,0.006954,0.004738,-0.008282,0.007343,-0.01219,-0.012799,0.022937,-0.007292,-0.015646,0.004434,0,0.010505,0.009608,0.006059,0.008381,0.008676,0.005748
FRA_GrandEst_IA2:I20827___BC_250___Coverage_42.75%,0.125205,0.140143,0.056191,0.026163,0.051086,0.00753,0.01081,0.001385,0.00859,0.02041,-0.004384,0.004496,-0.022299,-0.007432,0.004614,0.013392,-0.006519,0.00266,0.010056,0.000625,0.000873,0.000866,0.003328,-0.003856,-0.004431
FRA_GrandEst_IA2:I21399___BC_250___Coverage_61.06%,0.124067,0.144205,0.054305,0.027132,0.056318,0.006693,0.002115,0.002769,0.021475,0.023691,-0.004872,0.008992,-0.019623,-0.007707,0.009908,0.001193,-0.001173,0.004054,-0.004148,-0.002126,0.005366,0.009398,-0.009613,-0.004579,-0.003113
FRA_GrandEst_IA2:I21402___BC_250___Coverage_72.87%,0.12862,0.136081,0.065996,0.032946,0.045239,0.000279,-0.001645,0.000692,0.019021,0.021322,-0.001786,0.004496,-0.011298,-0.00578,0.008822,0.003315,-0.00326,-0.003041,-2.01E-03,5.00E-04,0.007986,-0.002473,0.006039,-0.003976,0.004071
FRA_GrandEst_IA2:I21931___BC_250___Coverage_25.66%,0.121791,0.127957,0.058454,0.028424,0.045239,0.016455,-0.00047,-0.005538,0.005931,0.010387,-0.00065,-0.005095,-0.013677,-0.012386,0.011943,-0.007823,-0.007693,0.003041,0.003645,-0.015257,0.000499,0.002102,-0.007765,-0.006145,-0.000958
FRA_GrandEst_IA2_low_res:I19359___BC_250___Coverage_5.29%,0.138864,0.137096,0.05506,0.022933,0.026466,0.011713,-0.00047,-0.000923,0.026588,0.004374,0.001299,-0.007343,0.001338,-0.014175,0.005022,0.02148,-0.034161,-0.000253,-0.000126,0.000375,-0.007986,-0.012736,0.00456,-0.006507,-0.006466
FRA_Hauts_De_France_IA2:BFM265___BC_225___Coverage_15.27%,0.12862,0.149283,0.053174,0.031654,0.050163,0.014781,0.001645,-0.004615,0.01268,0.01057,-0.008444,0.009142,-0.018583,-0.007432,0.019137,-0.003315,-0.014081,0.014316,0.009176,0.002001,0.001622,-0.000866,0.002465,0.000964,0.000718
FRA_Occitanie_IA2:BES1248___BC_500___Coverage_12.05%,0.130897,0.127957,0.066373,0.043282,0.0437,0.027331,0.009165,0.002769,-0.000205,0.007654,0.015752,0.014987,-0.01115,-0.006055,0.015201,-0.004641,-0.001565,0.007601,-0.013324,0.005503,0.023583,-0.003957,-0.017624,0.006627,-0.008502
FRA_Occitanie_IA2:PECH8___BC_450___Coverage_12.55%,0.121791,0.137096,0.063733,-0.003553,0.05601,-0.007251,-0.012456,-0.003,0.026384,0.051026,0.000487,0.003297,-0.036868,-0.006744,0.008415,-0.000663,0.007953,-0.007221,0.008925,-0.003752,0.007612,0.006677,-0.018734,-0.020485,-0.006466
FRA_Occitanie_IA2:PEY53___BC_300___Coverage_11.78%,0.136588,0.137096,0.046009,0.038114,0.052933,0.011992,-0.008225,-0.005538,0.011044,0.005832,-0.001786,0.016785,-0.016501,-0.010872,0.030266,-0.001724,-0.008866,0.005448,0.002263,-0.008504,0.010981,0.008656,-0.013311,-0.004338,0.015927
FRA_Occitanie_IA2:PEY163___BC_300___Coverage_10.14%,0.130897,0.141159,0.056568,0.010013,0.049855,0.016733,0.00282,-0.006923,0.033951,0.035354,-0.007145,0.001948,-0.01888,-0.017891,0.011672,0.025457,0.015125,0.02027,-0.015461,-0.025262,-0.002371,-0.001237,0.010476,-0.005543,-0.000958
FRA_SouthEast_IA2:I13620___BC_300___Coverage_17.51%,0.129758,0.13405,0.059962,0.011305,0.044931,0.013945,0.004465,0.003692,0.018407,0.032256,-0.008282,0.012739,-0.020515,-0.001514,0.011808,-0.005834,-0.024382,0.017103,0.011061,0.000125,0.005615,-0.004451,-0.006039,0.00723,-0.005269
FRA_SouthEast_IA2:I13623___BC_300___Coverage_23.22%,0.129758,0.151314,0.064111,0.011951,0.048932,-0.017849,-0.008695,0.007846,0.018816,0.042279,-0.003573,0.014537,-0.022596,-0.016652,0.010315,0.005701,0.007432,-0.002787,-0.001634,0.01113,0.003619,0.01051,0.007025,-0.000723,-0.00455
FRA_SouthEast_IA2:I19916___BC_300___Coverage_67.85%,0.132035,0.145221,0.065619,0.01938,0.051394,0.004462,-0.001645,0.003231,0.019839,0.029887,-0.000162,0.009741,-0.00996,-0.018441,0.004207,0.003713,0.010691,-0.000127,-0.008045,-0.000125,0.005865,0.001855,-0.010353,-0.006868,-0.011137
FRA_SouthEast_IA2:I19917___BC_300___Coverage_65.28%,0.125205,0.153345,0.061094,0.010659,0.041238,-0.000279,0.005875,0.002308,0.01718,0.033714,0.000162,0.012739,-0.02111,-0.002752,0.016694,0.000928,-0.004563,0.001394,0.002011,-0.006003,-0.004991,0.002473,0.000739,-0.005663,0.00455
FRA_SouthEast_IA2:I19918___BC_300___Coverage_62.63%,0.120652,0.148267,0.053928,0.016473,0.044316,0.000279,0.003995,0.002308,0.017998,0.037358,0.002273,0.015586,-0.026759,-0.021744,0.008822,0.000928,-0.006519,-0.000127,0.008045,-0.003627,0.001622,0.004451,-0.012571,0.00012,0.002155
Average of all samples above
Average of South France samples (Occitanie, SouthEast)Code:FRA_IA,0.128541621,0.140633276,0.056594069,0.028546517,0.044581069,0.009030241,0.000818414,0.00247469,0.012927276,0.018946379,-0.001562241,0.007508862,-0.015194138,-0.010074931,0.013094759,0.002199138,-0.006298897,0.003175931,0.00291269,-0.000250138,0.002366552,0.003052931,-0.002728517,-0.004001379,-0.001313069
Average of North France samples (Hauts de France, GrandEst)Code:FRA_South_IA,0.128620111,0.141722778,0.059710778,0.017513778,0.048145444,0.005484778,-0.000522333,0.000743667,0.018157111,0.030595556,-0.000252667,0.011373222,-0.020482111,-0.011407222,0.013044444,0.002651667,-0.000521556,0.004617111,-0.000684333,-0.003390556,0.005726111,0.002775222,-0.006710222,-0.003293667,-0.001583333
https://i.imgur.com/lq337eG.pngCode:FRA_North_IA,0.128620105,0.140784368,0.055198474,0.034527,0.042712263,0.010436368,0.001645,0.003084842,0.010000105,0.011970158,-0.001487053,0.005560895,-0.011853737,-0.007960474,0.013957789,0.001723684,-0.009765053,0.003033842,0.003989211,0.000645053,0.000735579,0.002746421,-0.000901737,-0.003824211,-0.001058789
The main problem is that sample coverage is pretty shitty, what you are about to see below are averages, but made only with samples with coverage greater than 23%.
https://i.imgur.com/7REWqdN.pngCode:FRA_GrandEst_IA2,0.1282787,0.1364871,0.0579634,0.0362083,0.0468394,0.0101236,0.0049351,0.0029537,0.0093057,0.0128659,-0.002793,0.0061146,-0.0125618,-0.0079547,0.0135177,-0.0033279,-0.0103785,0.0020523,0.0023129,-0.0002251,0.0049787,0.0040065,-0.0008751,-0.0010604,-0.0016526
FRA_SouthEast_IA2,0.1269125,0.14953675,0.061188,0.01461575,0.04647,-0.00334675,-0.0001175,0.00392325,0.01845825,0.0358095,-0.000325,0.01315075,-0.02010625,-0.01489725,0.0100095,0.0028175,0.00176025,-0.00041175,9.425E-05,0.00034375,0.00152875,0.00482225,-0.00379,-0.0032835,-0.0022455
The average below, on the other hand, consists of 244 ancient samples from England, dated between 662 BC and 226 AD and with coverage at least higher than 23%.
In this PCA the Germanic pull of modern-day English compared to IA is more evidentCode:England_IA,0.129338492,0.135044578,0.060620611,0.046992529,0.039762672,0.01626025,0.00253975,0.004535734,0.007257217,0.006301348,-0.004834508,0.006446139,-0.015074443,-0.014870615,0.021278619,0.006059992,-0.00585393,0.001578922,0.001392918,0.003102902,0.005560369,0.00365693,-0.002250283,0.005456922,-0.000703258
Scotland_IA,0.130177737,0.131430895,0.062423526,0.057732,0.034548895,0.021357263,0.003364316,0.005720368,0.002422,0.000508316,-0.004213579,0.006641421,-0.014263632,-0.015268895,0.025208263,0.005827,-0.013429526,0.001500211,0.000899789,0.004719421,0.006619895,0.004497,-0.000895316,0.007166421,-0.000296158
https://i.imgur.com/Vhk5FTG.png
This is what the professor who is in charge of Polish ancient DNA research replied in an email from 31.12.2021. He wrote "... oh yes very soon all of planned goals have been reached, currently we are at the stage of preparing two most important publications which will summarize the results of research...".
He also mentioned those numbers of samples (150 Iron Age, 550 Medieval, 22 Piasts).
But I prefer to mentally prepare for a long time of waiting, you know, just in case:
Spoiler!
150 Iron Age samples seems few*, but it is hard to get DNA - most of Iron Age cultures from Poland's territory were burning their dead.
*At least it seems few compared to 550 Medieval.
More between Scottish/Irish and West German I should say.
https://i.postimg.cc/XVBvhCSP/engia2.png
K13 comparison, I think the old SE & SW English averages from Gedmatch are the basis for the English and English_Cornwall averages on G25, so the England IA average is maybe close to Southwest_English_old here.
https://i.postimg.cc/y7sfNmYM/k13comp.png
https://i.postimg.cc/PtBqkzmD/k13comp2.png
https://i.imgur.com/tPRdDDr.png
https://i.imgur.com/kUj95g4.png
France IA2 and LN_EBA samples from Patterson, Brunel and Seguin-Orlando's studies.
Quote:
FRA_IA2_low_res:I19359,0.138864,0.137096,0.05506,0 .022933,0.026466,0.011713,-0.00047,-0.000923,0.026588,0.004374,0.001299,-0.007343,0.001338,-0.014175,0.005022,0.02148,-0.034161,-0.000253,-0.000126,0.000375,-0.007986,-0.012736,0.00456,-0.006507,-0.006466
FRA_IA2:I19356,0.130897,0.126941,0.056945,0.037468 ,0.04647,0.007809,0.003995,0.007615,-0.001432,0.008018,-0.005196,0.005245,-0.011744,-0.010322,0.0095,-0.004508,-0.002347,-0.003927,0.006285,0.005253,-0.003119,-0.003091,0.003451,-0.004579,-0.003353
FRA_IA2:I19357,0.130897,0.139128,0.061848,0.051034 ,0.051702,0.004462,0.005875,0.008769,0.008385,0.01 2757,-0.003248,0.003897,-0.008474,-0.006331,0.022937,-0.004243,-0.019818,0.004561,-0.00264,0.000875,0.01435,0.010634,-0.003328,0.00012,-0.00012
FRA_IA2:I19358,0.129758,0.135065,0.047894,0.034561 ,0.045239,0.016733,0.012456,0,0.011862,0.00893,0.0 13803,0.009292,-0.009366,-0.00523,0.010993,-0.008618,-0.022817,-0.00152,-0.001383,-0.006378,0.006738,0.002844,-0.000863,0.003735,0.001437
FRA_IA2:I19362,0.134311,0.135065,0.063733,0.049096 ,0.029852,0.010319,0.0047,0.007615,-0.001023,0.004556,-0.003085,0.005245,-0.009217,-0.008395,0.018594,-0.002917,-0.00352,0.005574,0.007416,0.007379,-0.00025,0.007172,0.003081,-0.000361,-0.006586
FRA_IA2:I20815,0.126344,0.146236,0.056191,0.031977 ,0.059396,0.009203,0.00611,0.006692,0.013294,0.013 85,-0.01023,0.017235,-0.00773,-0.003165,0.014929,-0.015778,-0.020992,0.004687,0.005908,-0.003627,0.007736,0.006554,-0.011462,0.000361,-0.009221
FRA_IA2:I20817,0.130897,0.13405,0.058077,0.043282, 0.037853,0.021753,0.005405,-0.000462,0.006954,0.004738,-0.008282,0.007343,-0.01219,-0.012799,0.022937,-0.007292,-0.015646,0.004434,0,0.010505,0.009608,0.006059,0.0 08381,0.008676,0.005748
FRA_IA2:I20827,0.125205,0.140143,0.056191,0.026163 ,0.051086,0.00753,0.01081,0.001385,0.00859,0.02041 ,-0.004384,0.004496,-0.022299,-0.007432,0.004614,0.013392,-0.006519,0.00266,0.010056,0.000625,0.000873,0.0008 66,0.003328,-0.003856,-0.004431
FRA_IA2:I21399,0.124067,0.144205,0.054305,0.027132 ,0.056318,0.006693,0.002115,0.002769,0.021475,0.02 3691,-0.004872,0.008992,-0.019623,-0.007707,0.009908,0.001193,-0.001173,0.004054,-0.004148,-0.002126,0.005366,0.009398,-0.009613,-0.004579,-0.003113
FRA_IA2:I21402,0.12862,0.136081,0.065996,0.032946, 0.045239,0.000279,-0.001645,0.000692,0.019021,0.021322,-0.001786,0.004496,-0.011298,-0.00578,0.008822,0.003315,-0.00326,-0.003041,-0.002011,5e-04,0.007986,-0.002473,0.006039,-0.003976,0.004071
FRA_IA2:I21931,0.121791,0.127957,0.058454,0.028424 ,0.045239,0.016455,-0.00047,-0.005538,0.005931,0.010387,-0.00065,-0.005095,-0.013677,-0.012386,0.011943,-0.007823,-0.007693,0.003041,0.003645,-0.015257,0.000499,0.002102,-0.007765,-0.006145,-0.000958
FRA_IA2:I13620,0.129758,0.13405,0.059962,0.011305, 0.044931,0.013945,0.004465,0.003692,0.018407,0.032 256,-0.008282,0.012739,-0.020515,-0.001514,0.011808,-0.005834,-0.024382,0.017103,0.011061,0.000125,0.005615,-0.004451,-0.006039,0.00723,-0.005269
FRA_IA2:I13623,0.129758,0.151314,0.064111,0.011951 ,0.048932,-0.017849,-0.008695,0.007846,0.018816,0.042279,-0.003573,0.014537,-0.022596,-0.016652,0.010315,0.005701,0.007432,-0.002787,-0.001634,0.01113,0.003619,0.01051,0.007025,-0.000723,-0.00455
FRA_IA2:I19916,0.132035,0.145221,0.065619,0.01938, 0.051394,0.004462,-0.001645,0.003231,0.019839,0.029887,-0.000162,0.009741,-0.00996,-0.018441,0.004207,0.003713,0.010691,-0.000127,-0.008045,-0.000125,0.005865,0.001855,-0.010353,-0.006868,-0.011137
FRA_IA2:I19917,0.125205,0.153345,0.061094,0.010659 ,0.041238,-0.000279,0.005875,0.002308,0.01718,0.033714,0.0001 62,0.012739,-0.02111,-0.002752,0.016694,0.000928,-0.004563,0.001394,0.002011,-0.006003,-0.004991,0.002473,0.000739,-0.005663,0.00455
FRA_IA2:I19918,0.120652,0.148267,0.053928,0.016473 ,0.044316,0.000279,0.003995,0.002308,0.017998,0.03 7358,0.002273,0.015586,-0.026759,-0.021744,0.008822,0.000928,-0.006519,-0.000127,0.008045,-0.003627,0.001622,0.004451,-0.012571,0.00012,0.002155
FRA_IA2:COL11,0.125205,0.140143,0.060339,0.069768, 0.033852,0.017012,-0.00329,0.003231,0.00634,0.005832,-0.001461,0.002997,-0.012042,0.001239,0.021851,-0.009679,-0.01343,-0.011149,0.005279,0.004502,0.007986,0.005441,0.014 913,-0.00735,0.002036
FRA_IA2:COL153A,0.132035,0.158423,0.046763,0.03262 3,0.034468,0.008646,0.00705,0.011076,0.003068,0.02 0046,0.004547,-0.007643,-0.002081,-0.004266,0.007736,0.003182,-0.014473,0.00114,0.017723,0.005253,-0.019715,0.004575,-0.000246,-0.013616,0.004311
FRA_IA2:ERS1164,0.124067,0.120848,0.053928,0.02939 3,0.033852,0.013666,0.00846,0.006923,-0.00409,0.014397,-0.00341,-0.009292,-0.009514,-0.016515,0.010179,0.008884,-0.002999,0.003421,0,-0.002626,-0.009608,0.003091,0.005053,-0.012893,0.005628
FRA_IA2:ERS86,0.127482,0.1635,0.041106,0.028101,0. 043085,0.011156,-0.007285,0.002538,0.008795,0.010752,-0.001786,0.005995,-0.014123,0,0.007736,0.026518,-0.004172,0.011402,0.012821,-0.008129,0.000749,0.019166,-0.007272,-0.015183,-0.000359
FRA_IA2:BES1248,0.130897,0.127957,0.066373,0.04328 2,0.0437,0.027331,0.009165,0.002769,-0.000205,0.007654,0.015752,0.014987,-0.01115,-0.006055,0.015201,-0.004641,-0.001565,0.007601,-0.013324,0.005503,0.023583,-0.003957,-0.017624,0.006627,-0.008502
FRA_IA2:PECH8,0.121791,0.137096,0.063733,-0.003553,0.05601,-0.007251,-0.012456,-0.003,0.026384,0.051026,0.000487,0.003297,-0.036868,-0.006744,0.008415,-0.000663,0.007953,-0.007221,0.008925,-0.003752,0.007612,0.006677,-0.018734,-0.020485,-0.006466
FRA_IA2:PEY163,0.130897,0.141159,0.056568,0.010013 ,0.049855,0.016733,0.00282,-0.006923,0.033951,0.035354,-0.007145,0.001948,-0.01888,-0.017891,0.011672,0.025457,0.015125,0.02027,-0.015461,-0.025262,-0.002371,-0.001237,0.010476,-0.005543,-0.000958
FRA_IA2:PEY53,0.136588,0.137096,0.046009,0.038114, 0.052933,0.011992,-0.008225,-0.005538,0.011044,0.005832,-0.001786,0.016785,-0.016501,-0.010872,0.030266,-0.001724,-0.008866,0.005448,0.002263,-0.008504,0.010981,0.008656,-0.013311,-0.004338,0.015927
FRA_LN_EBA:I10342,0.127482,0.13405,0.062979,0.0390 83,0.037853,0.010319,0.00094,0.001615,0.014726,0.0 14397,-0.000974,0.002847,-0.013528,-0.023809,0.013843,0.011138,0.007562,0.003041,0.002 891,0.002626,0.001248,0.00272,-0.013311,-0.004699,-0.004431
FRA_LN_EBA:I10343,0.121791,0.142174,0.049403,0.021 318,0.045855,0.011713,-0.003525,-0.004615,0.011862,0.020957,-0.011367,0.006444,-0.018731,-0.015001,0.015336,0.006232,0.002999,0.008235,0.000 628,0.003252,0.010606,0.004451,-0.003451,-0.008555,-0.00467
FRA_LN_EBA:I10344,0.133173,0.14319,0.055437,0.0151 81,0.048932,-0.00251,-0.00282,-0.001385,0.022702,0.030069,-0.000974,0.010641,-0.022596,-0.022157,-0.002579,0.021082,0.012126,-0.002787,0.00352,-0.004627,0.006613,-0.000618,-0.008997,-0.002651,0.003113
FRA_LN_EBA:I10347,0.129758,0.142174,0.054682,0.022 287,0.04647,0,0.001645,-0.000692,0.023111,0.024602,-0.006171,0.011839,-0.01888,-0.016928,0.013572,0.005569,0.012386,-0.000633,0.004902,0.011756,0.000749,0.006801,-0.001479,-0.009881,-0.003473
FRA_LN_EBA:I10348,0.129758,0.144205,0.050911,0.013 566,0.045855,0.001673,0.00141,0.004846,0.021066,0. 026242,-0.000325,0.005395,-0.014123,-0.003028,0.003393,0.00716,-0.002477,0,0.00088,0.004752,0.001373,0.002844,0.00 0493,-0.008917,-0.003712
FRA_LN_EBA:BIS130,0.130897,0.129988,0.050534,0.032 623,0.062165,0.000837,-0.00799,-0.01223,-0.00225,0.003827,-0.010555,-0.002248,-0.02438,-0.01968,0.020358,0.021347,0.007302,0.006461,0.0080 45,0.012006,0.019341,0.014591,-0.006779,-0.017231,-0.017962
FRA_LN_EBA:BIS385,0.125205,0.121864,0.070144,0.030 362,0.020004,0.022869,-0.001645,0.003923,0.02352,0.007289,0.00406,0.00614 5,-0.009068,-0.016239,0.020358,0.007425,-0.00339,-0.002914,0.001006,0.013882,0.006738,0.005812,-0.002095,-0.003133,-0.004311
FRA_LN_EBA:OBE3626-1,0.129758,0.120848,0.070522,0.067507,0.0397,0.016 176,0.007285,0.003231,0.001227,-0.00492,-0.001461,0.012289,-0.009068,-0.022157,0.019951,0.018563,0.010952,-0.005828,0.00088,0.01113,0.009733,0.008903,-0.005423,0.003735,0.008622
FRA_LN_EBA:OBE3722,0.132035,0.136081,0.06675,0.068 799,0.025543,0.029562,-0.006345,0.000462,-0.003068,0.000729,-0.01023,0.012739,-0.011893,-0.00289,0.03298,-0.006629,-0.014342,-0.002787,-0.006285,-0.003627,0.006738,-0.004699,0.010723,0.006266,-0.013292
FRA_LN_EBA:PSS4170,0.127482,0.14319,0.053928,0.017 442,0.060627,0.008646,-0.0047,-0.002538,0.027406,0.026424,-0.01153,0.006744,-0.023191,-0.011423,0.016694,0.004508,0.001695,0.012035,0.007 165,0.012256,0.018592,0.003833,-0.014913,-0.011206,-0.013053
FRA_LN_EBA:RIX15,0.133173,0.13405,0.059962,0.03133 1,0.040931,0.028168,0.002585,0.003461,0.02352,0.03 6447,0.002761,0.016036,-0.016204,-0.013762,0.0057,0.014983,-0.005867,0.009502,0.022374,0.01063,0.015722,-0.007914,-0.000493,-0.007109,0.002275
FRA_LN_EBA:RIX4,0.122929,0.146236,0.060339,0.02777 8,0.045547,0.016455,0.005405,0.005077,0.007158,0.0 14214,-0.002923,-0.006594,-0.010258,-0.020919,0.012351,0.004375,0.013038,0.013302,-0.011187,0.000625,0.009733,0.003462,-0.004437,0.007712,-0.01413
FRA_LN_EBA:EUG11,0.126344,0.153345,0.067127,0.0145 35,0.064627,0.001116,-0.0094,0.01823,0.026384,0.039545,-0.003897,-0.001199,-0.028394,-0.012111,-0.0076,0.002254,0.014603,0.004434,0.005531,0.00225 1,0.010232,-0.004204,-0.00037,-0.014942,0.021914
FRA_LN_EBA:QUIN234,0.136588,0.156392,0.043746,0.00 9367,0.058472,0.00753,0.018801,0.013153,0.033337,0 .069796,0.008607,-0.006594,-0.019326,0.001651,-0.005972,0.003182,0.001825,0.006841,-0.003897,-0.004127,0.016346,0.021887,-0.002958,-0.016508,0.00946
FRA_LN_EBA:GBVPK,0.126344,0.148267,0.054682,0.0352 07,0.043393,-0.001116,0.00235,0.009923,0.024543,0.021868,-0.004709,0.006145,-0.013231,-0.017478,0.009636,0.013392,0.004433,0.003041,0.002 263,-0.004127,0.010357,0.001731,-0.007148,-0.000482,-0.003353
FRA_LN_EBA:GBVPO,0.126344,0.152329,0.051288,0.0061 37,0.04924,-0.001952,0.002115,0.013615,0.028224,0.043008,-0.00341,0.014087,-0.020069,-0.009771,0.002986,-0.008088,-0.000913,0.003167,0.000628,0.004877,-0.001622,0.009892,-0.017008,-0.018075,0.000239
Their averages:
Compared with modern and related references in a PCA:Code:FRA_IA2:Average_n24,0.1286675417,0.1400160833,0.0572594583,0.029271875,0.0447260833,0.0088663333,0.0020464583,0.0024614583,0.0123821667,0.0191425,-0.0012922917,0.0061757917,-0.0144324583,-0.0089970417,0.0127125417,0.001707125,-0.00740475,0.0027765833,0.0021944167,-0.0013912917,0.0030311667,0.003524125,-0.0021722917,-0.0039915,-0.00106775
FRA_LN_EBA:Average_n16,0.1286913125,0.1405239375,0.057652125,0.0282826875,0.045950875,0.009342875,0.0003819375,0.00350475,0.01771675,0.023405875,-0.003318625,0.00591975,-0.01705875,-0.014106375,0.0106879375,0.0079058125,0.00387075,0.003444375,0.002459,0.0045959375,0.0089061875,0.00434325,-0.004852875,-0.00660475,-0.00229775
Spoiler!
And results comparing moderns and IA&LN/EBA averages:
https://i.imgur.com/8StqREO.png
Double
As we already know, to model with lower distances only with IA references (without LN/EBA French reference) SE and SW French regions, we should add Italian or Iberian IA references ( both works in a similar way and are very close), that are basically Basque-like references.
I didnīt include Corsica, that will be modelled probably better with North Italian IA/North Iberian IA references but even better adding Sardinian IA references (I am not sure about this, but probably removing Punic-like references).
Edit: British isles or more northern French or NW European modern references donīt seem to be substancially improved in their distances of modelling by adding these North Italian/Iberian IA references, but they could show some tiny % in their results, so probably they are not necessary to model them.
So basically, fantastic adition for people with majority of NW European genetic but as usual and without noteworthy changes for everyone else.
French South in current G25 datasheet is basically a 80% Basque reference, we have more detailed regional reference from South France Pyrenees from that paper of Basques and peri-Basques, (Basques and not-so-much-Basques-but-close-to-them).
Code:Basque_French_Labourd,0.1317244,0.1515907,0.059070 7,0.0119804,0.0576889,0.0008114,-0.002927,0.0038809,0.0336348,0.0419807,-0.0052258,0.0109811,-0.022583,-0.0170903,0.0165701,0.0012776,-0.0082142,0.0007485,-0.0003657,-0.0076286,0.0084055,-0.0010342,-0.0088738,-0.0080625,0.0034401
Basque_French_Lower_Navarre,0.1296547,0.1482672,0. 0555396,0.0110407,0.0550309,0.0014452,-0.0011536,0.0010908,0.0303997,0.0442501,-0.005034,0.0117168,-0.0227585,-0.0160266,0.0172241,-9.65e-05,-0.0076688,0.0026374,-0.002434,-0.0018646,0.0064885,0.0024506,-0.0078541,-0.0095961,0.002863
Basque_French_Soule,0.1317243,0.1548219,0.0546482, 0.0068124,0.0585285,0.0009128,-0.0019014,0.0012166,0.0309945,0.0432396,-0.0059936,0.0119895,-0.0227449,-0.0167275,0.0124615,-0.0010968,-0.0097314,0.0009675,-4e-04,-0.0032402,0.0092336,0.0020908,-0.0076526,-0.0095193,0.0025909
Basque_Spanish_Alava,0.1275854,0.1485442,0.0590365 ,0.0157976,0.0537723,0.0043864,-0.0024142,0.0040906,0.0254166,0.0380211,-0.0069532,0.0096325,-0.0220693,-0.0149507,0.0158915,-0.0007835,-0.007337,6.91e-05,0.0003998,-0.004036,0.0089726,0.0019447,-0.0048067,-0.006244,-0.0004463
Basque_Spanish_Biscay,0.1301722,0.1502985,0.057116 7,0.0107177,0.0564578,0.0059581,-0.0008973,0.0009441,0.0267555,0.0419806,-0.0075289,0.0147005,-0.0246371,-0.017428,0.0157435,0.0008197,-0.0047056,0.0027871,0.0003085,-0.0022169,0.0100503,0.001675,-0.0068122,-0.0088072,-0.0002177
Basque_Spanish_Gipuzkoa_Central,0.1309999,0.148451 9,0.0538941,0.0111875,0.055199,0.0012676,-0.003995,0.0005454,0.0297675,0.0415664,-0.0054623,0.0126024,-0.0206367,-0.0177406,0.0159533,0.0058461,-0.0030225,0.0014051,-0.0006855,-0.0051503,0.005615,-0.001259,-0.0104089,-0.0103627,0.0014043
Basque_Spanish_Gipuzkoa_Southwest,0.131207,0.14937 51,0.0579394,0.012274,0.05657,0.0019015,-0.0023714,0.0006712,0.0268855,0.0422788,-0.0058606,0.0100411,-0.0223531,-0.0195175,0.0152994,0.0049662,-0.0026907,0.0025337,-0.0018054,-0.001171,0.0102433,0.0023606,-0.010465,-0.0099685,0.0019158
Basque_Spanish_Navarra_Central-West,0.1272748,0.1485443,0.0532426,0.0056085,0.051 6178,0.0005325,-0.0035252,-0.0014895,0.0278152,0.0418315,-0.0034398,0.0098775,-0.0210964,-0.0188043,0.0148182,0.0009764,-0.0041725,0.0023035,-0.004948,-0.0005002,0.0070785,0.0003934,-0.0062744,-0.0079746,2.17e-05
Basque_Spanish_Navarra_Northwest,0.1295514,0.14974 44,0.0564655,0.0105415,0.0575771,0.0006085,-0.0006195,0.0020768,0.0302136,0.0448301,-0.0060674,0.0120848,-0.0243263,-0.0192421,0.0141517,0.0025795,-0.0034966,0.0037662,-0.002057,-0.00274,0.0100505,0.002192,-0.0093445,-0.0109215,0.0025474
Basque_Spanish_Navarra_Roncal,0.1311035,0.1488211, 0.0549566,0.0122153,0.0545555,0.0015973,-0.00141,0.0009441,0.0336347,0.0403903,-0.006835,0.0101227,-0.0204747,-0.0169525,0.0158052,0.0007955,-0.003864,0.0037202,0.0002169,-0.0012505,0.0084623,0.0013375,-0.0054899,-0.0087085,0.0014369
French_Hautes-Pyrenees_Bigorre,0.1280511,0.1473535,0.052269,0.00 53295,0.0522249,-0.0008365,-0.0016685,0.0001617,0.0248088,0.0382695,-0.0030854,0.007883,-0.0214815,-0.0141476,0.0087403,0.0001856,-0.0035596,0.0023691,-0.0008926,-0.0029139,0.0025082,-0.0008902,-0.0032908,-0.0059043,0.0010298
French_Landes_Chalosse,0.1287339,0.1477596,0.05189 17,0.0111758,0.0513326,0.0027611,0.00047,0.0017769 ,0.0252587,0.0396544,-0.0026958,0.008947,-0.0203367,-0.0150834,0.0110884,0.0028241,-0.0054241,0.0016723,-0.0007794,-0.0022384,0.0082731,0.002844,-0.0076906,-0.0076635,-0.0020956
French_Pyrenees-Atlantiques_Bearn,0.1267991,0.1448145,0.0535889,0. 0060078,0.0539486,0.0021754,-0.001692,-0.0020537,0.024461,0.0398913,-0.0088665,0.0102359,-0.0189989,-0.0143265,0.0141693,0.001578,-0.0057238,-0.0008996,-0.0017346,-0.0033017,0.0054653,0.0031407,-0.0066429,-0.0081696,0.0006825
Spanish_Aragon_North,0.1273681,0.1477595,0.0490634 ,0.0057171,0.0498553,0.0010876,-0.000141,-0.0005538,0.0255859,0.0364654,-0.004417,0.0096965,-0.0186272,-0.0150697,0.0143594,0.004296,-0.003038,0.0026858,-0.0031172,-0.0011756,0.004517,0.0005194,-0.0056325,-0.0052896,0.0009341
Spanish_Biscay_West,0.1203111,0.1493845,0.0496292, 0.0097546,0.049086,0.0011714,-0.001927,0.0035996,0.0265268,0.0348616,-0.0055049,0.0108953,-0.0192517,-0.0162946,0.010464,0.0013788,-0.0057631,0.001837,-0.002313,-0.0017634,0.0071,-0.0004698,-0.0056324,-0.004133,0.0019878
Spanish_Cantabria,0.1151889,0.145627,0.0434443,-0.0006783,0.0469933,-0.0032352,-0.000282,0.0023538,0.0254837,0.0319278,-0.0050178,0.0083326,-0.0150593,-0.0134595,0.0104641,0.0009016,-0.001747,-0.0021917,-0.0029664,-0.0026262,0.0035062,-0.0024732,-0.0041165,-0.0047958,-0.000982
Spanish_Castilla_y_Leon_Burgos_North,0.1236117,0.1 476578,0.0497421,0.0020672,0.0495476,-0.0034583,-0.000611,0.000877,0.0240111,0.0378322,-0.0068692,0.0086174,-0.0189989,-0.0126612,0.0114276,0.0019225,-0.0059585,-0.0001141,-0.0034943,-0.0038143,0.0077986,0.0006554,-0.0041904,-0.0021207,-0.0007785
Spanish_La_Rioja,0.121563,0.149689,0.0449904,0.001 6796,0.0474856,-0.0027888,-0.002256,0.001823,0.0247064,0.0370667,-0.001234,0.0084523,-0.0194001,-0.0137622,0.0100977,0.000623,-0.0019949,0.0008615,-0.0038338,-0.0004753,0.0052783,-0.0009521,-0.0063472,-0.0061093,0.0006346
This is Ballynahatty, Irish HG and Rathlin put on the Novembre plot by Dr Daniel Bradley.
https://i.imgur.com/s768O1E.png
https://i.imgur.com/bCwukIq.png
Watching this now so quite interesting.
https://www.youtube.com/watch?v=i4I52UNkPpE
I wouldn't expect anything else. I don't understand the mentality of the French with their ban on genetic testing. Lots of French do take the tests though. What are the French afraid of? They can't be trying to hide that French is an ethnicity as much as any other European country is? It's pretty frustrating because France is such an important country to understand the genetic history of Europe.
Here is the Human Freedom Index 2021.
The countries that took the top 10 places, in order, were Switzerland, New Zealand, Denmark, Estonia, Ireland, Canada and Finland (tied at 6), Australia, Sweden, and Luxembourg. Selected jurisdictions rank as follows: United Kingdom (14), Germany, Japan, and the United States (tied at 15), Taiwan (19), Chile (28), Hong Kong (30), South Korea (31), France (34), Argentina (74), South Africa (77), Brazil (78), Mexico (93), India (119), Nigeria (123), Russia (126), Turkey (139), China (150), Saudi Arabia (155), Iran (160), Venezuela (164), and Syria (165).
https://www.cato.org/human-freedom-index/2021
Lara Cassidy's section was most interesting to me as the Medieval period hasn't really been discussed much. I did know previously about Ranelagh, Co Roscommon and that they were looking at Medieval genomes there.
Most of the Ranelagh genomes have ancestry with Irish mostly from Connacht and Northwest Ulster but there was a female outlier there who shares her ancestry with English and Northern English clusters (Red). This was also verified by Durham University by isotopical analysis and she has values similar to Viking period burials from Yorkshire.
https://i.imgur.com/GK7Lgr6.png
I hope they publish some further information on this period.
Distance to: FRA_LN_EBA:Average_n16
0.01864196 FRA_IA2:Average_n24
0.01989823 Czech
0.02036687 FRA_South_IA
0.02083767 France
0.02577523 FRA_North_IA
0.02769464 FRA_GrandEst_IA2
0.02790237 Channel_Islands
0.02841007 FRA_SouthEast_IA2
0.03331498 Hungary
0.03592151 Slovenia
0.03616172 England
0.03667665 Slovakia
0.03799994 Austria
0.04546514 Spain
0.04847814 Wales
0.04928075 Croatia
0.05354885 Scotland
0.05941175 Netherlands
It is really a pitty France does not have more samples with good quality coverage. Czechia only has about 3 times most BA & IA good samples than us.Quote:
Courtesy of Ajeje Brazorf and Gixajo.
FRA_LN_EBA:Average_n16,0.1286913125,0.1405239375,0 .057652125,0.0282826875,0.045950875,0.009342875,0. 0003819375,0.00350475,0.01771675,0.023405875,-0.003318625,0.00591975,-0.01705875,-0.014106375,0.0106879375,0.0079058125,0.00387075,0 .003444375,0.002459,0.0045959375,0.0089061875,0.00 434325,-0.004852875,-0.00660475,-0.00229775
Austria,0.129379,0.1479287,0.046386,0.004845,0.043 085,0.0035327,0.0025067,0.0059997,0.015271,0.02217 17,-0.0011367,0.0065443,-0.0104557,-0.0031193,0.001493,-0.0047733,-0.0034333,0.005701,0.0079607,-0.001959,0.0017883,-4.13e-05,-0.003533,-0.0011647,-0.0044307
Channel_Islands,0.1320345,0.142174,0.0580768,0.037 8718,0.0540868,0.0062052,0.0027615,0.005596,0.0160 552,0.0124375,0.0041408,0.0008242,-0.0108892,-0.0082915,0.0216135,0.007027,0.0005215,0.0039272,-0.001037,-0.0010945,-3.13e-05,0.0058425,-0.0072102,-0.0009035,0.0013773
Croatia,0.1279371,0.1472518,0.0327719,-0.0010659,0.0357912,-0.0008367,0.0013395,0.0026077,0.0106761,0.026971,-0.0002598,0.0089171,-0.0164866,-0.0073076,-0.0022122,-0.00179,0.0047459,0.0030532,0.0073155,-0.0047398,-0.0017719,0.0020526,0.0009982,-0.0002049,-0.0026345
Czech,0.1290754,0.1380781,0.058196,0.0333982,0.043 5671,0.0083295,0.0029376,0.0038537,0.0092786,0.012 2554,-0.003321,0.0041263,-0.0117814,-0.0096381,0.0081002,0.0061168,0.0011387,0.0027238, 0.0022144,0.0019155,0.0033192,0.0028687,-0.003073,-0.000488,-0.0002195
England,0.1293168,0.1347401,0.0610305,0.0471798,0. 0395496,0.0162938,0.0024705,0.0045536,0.0067624,0. 0060637,-0.0046244,0.0064822,-0.0150846,-0.0149387,0.0213327,0.0062407,-0.006071,0.0016668,0.0015441,0.0027032,0.005874,0. 0039129,-0.0023689,0.0053353,-0.0006908
France,0.1286912,0.1396352,0.058713,0.028424,0.045 3544,0.0070942,0.0033048,0.0029999,0.0132428,0.019 2829,-0.0022633,0.0074466,-0.0140762,-0.0096766,0.0120028,-0.0003977,-0.0097054,0.0022329,0.0021526,-2.35e-05,0.0033457,0.0026354,-0.0015869,-0.0014384,-0.0023277
Hungary,0.1286675,0.1438455,0.0501178,0.0178861,0. 0425848,0.0035268,0.0038923,0.0038508,0.0105714,0. 0168418,-0.0016914,0.0035937,-0.0075507,0.0008458,-0.004753,4.42e-05,0.0048785,0.0005675,0.003284,0.0007529,-0.0015623,0.003269,4.88e-05,-0.0071469,-0.0018561
Netherlands,0.1303273,0.127449,0.0631047,0.0625543 ,0.0378018,0.0168727,0.0039948,0.0031537,-0.0011588,-0.0084738,-0.0051423,0.0071685,-0.0138997,-0.0169047,0.0249273,0.0028065,-0.0039765,-0.0008658,0.0022835,0.0055028,0.006239,0.005214,0. 0020952,0.0092985,-0.0010977
Scotland,0.1288911,0.1319704,0.0629972,0.0580939,0 .0343507,0.0220191,0.0038608,0.005692,0.0023764,0. 0003558,-0.0045779,0.0062587,-0.0142998,-0.0154203,0.0258838,0.0044765,-0.014367,0.0016951,0.001281,0.0047226,0.0059062,0. 0053994,-0.0020308,0.0070405,-0.0005189
Slovakia,0.1263435,0.1441037,0.046499,0.0185402,0. 0380839,0.0026075,0.001363,0.004442,0.0089276,0.01 39684,-0.0015183,0.0023304,-0.0068682,0.0015551,-0.0024226,-0.0014453,0.0016624,0.0024958,0.005349,-0.0014069,-0.0016097,0.0019907,0.0009922,-0.0054706,0.0001138
Slovenia,0.1297585,0.1477205,0.0457186,0.0061867,0 .0436529,-0.0015446,0.0013558,0.0020945,0.0115949,0.0248402,-0.0002998,0.0075856,-0.0162383,-0.0088182,0.0007518,-0.0014075,0.0020862,0.0010134,0.0025042,-0.0029147,-0.0018046,0.0071053,-0.0015263,-0.0026603,-0.0021463
Spain,0.1231565,0.1528373,0.0591703,0.0055556,0.06 09036,-0.0006136,0.0010106,0.0069458,0.0342577,0.0455407,-0.0039921,0.0063843,-0.0253169,-0.016322,0.0106812,0.0066562,3.92e-05,0.0019891,-0.0024133,-0.0018883,0.0097205,-0.0015332,-0.0070374,-0.0149296,-0.0028498
Wales,0.1282407,0.1310033,0.0636077,0.0514647,0.04 011,0.02352,0.003525,0.000692,-0.0001363,-0.000972,-0.003681,0.0065443,-0.0095637,-0.0197717,0.0207653,0.014187,-0.000391,0.0039277,0.002556,0.003877,-0.001248,0.005482,0.000534,0.0051413,-0.0016763
FRA_IA2:Average_n24,0.1286675417,0.1400160833,0.05 72594583,0.029271875,0.0447260833,0.0088663333,0.0 020464583,0.0024614583,0.0123821667,0.0191425,-0.0012922917,0.0061757917,-0.0144324583,-0.0089970417,0.0127125417,0.001707125,-0.00740475,0.0027765833,0.0021944167,-0.0013912917,0.0030311667,0.003524125,-0.0021722917,-0.0039915,-0.00106775
FRA_South_IA,0.128620111,0.141722778,0.059710778,0 .017513778,0.048145444,0.005484778,-0.000522333,0.000743667,0.018157111,0.030595556,-0.000252667,0.011373222,-0.020482111,-0.011407222,0.013044444,0.002651667,-0.000521556,0.004617111,-0.000684333,-0.003390556,0.005726111,0.002775222,-0.006710222,-0.003293667,-0.001583333
FRA_North_IA,0.128620105,0.140784368,0.055198474,0 .034527,0.042712263,0.010436368,0.001645,0.0030848 42,0.010000105,0.011970158,-0.001487053,0.005560895,-0.011853737,-0.007960474,0.013957789,0.001723684,-0.009765053,0.003033842,0.003989211,0.000645053,0. 000735579,0.002746421,-0.000901737,-0.003824211,-0.001058789
FRA_GrandEst_IA2,0.1282787,0.1364871,0.0579634,0.0 362083,0.0468394,0.0101236,0.0049351,0.0029537,0.0 093057,0.0128659,-0.002793,0.0061146,-0.0125618,-0.0079547,0.0135177,-0.0033279,-0.0103785,0.0020523,0.0023129,-0.0002251,0.0049787,0.0040065,-0.0008751,-0.0010604,-0.0016526
FRA_SouthEast_IA2,0.1269125,0.14953675,0.061188,0. 01461575,0.04647,-0.00334675,-0.0001175,0.00392325,0.01845825,0.0358095,-0.000325,0.01315075,-0.02010625,-0.01489725,0.0100095,0.0028175,0.00176025,-0.00041175,9.425E-05,0.00034375,0.00152875,0.00482225,-0.00379,-0.0032835,-0.0022455
May be it does explain some surprising vahaduo results.
code:
https://drive.google.com/file/d/1VFr...WU4TIppjB/view
Distance to: FRA_LN_EBA:Average_n16
0.02074146 FRA_LN_EBA:I10343
0.02156198 FRA_GrandEst_IA2:I21399
0.02228461 FRA_LN_EBA:I10347
0.02236607 England_LIA_highEEF:I17017
0.02295729 CZE_LBA_Knoviz:I13789
0.02321206 CZE_LBA_Knoviz:I15960
0.02360832 CZE_IA_La_Tene:I15048
0.02425217 CZE_IA_La_Tene:I14984
0.02467920 HUN_La_Tene:I18492
0.02479012 FRA_EBA:I15033
0.02548961 FRA_LN_EBA:I10342
0.02567879 England_EIA_highEEF:I19867
0.02578347 SVK_LIA_La_Tene:I11713
0.02588563 HUN_IA_La_Tene:I18110
0.02619850 FRA_GrandEst_IA2:I21402
0.02646210 CZE_IA_La_Tene:I15046
0.02648811 FRA_LN_EBA:I10348
0.02651605 SRB_BA_Maros:I23210
0.02669213 SVK_LIA_La_Tene:I11712
0.02699975 CZE_IA_La_Tene:I17146
0.02709162 FRA_GrandEst_IA2:I20827
0.02723274 CZE_LBA_Knoviz:I13788
0.02724631 England_MBA_highEEF:I13716
0.02737205 FRA_SouthEast_IA2:I19916
0.02751034 CZE_IA_La_Tene:I15951
COVID stricken Jive on the study.
https://youtu.be/0epGMliPvkk
Feels easier when you look at Late Bronze Age Southern Britain in the context of its YDNA. Much more movement in women.
https://i.ibb.co/vhMrWvz/image.png
He never said they belong to the same subclade. They are ancient samples, of course they don't belong to the same sub clades. He said they belong to
the same branch
Such as the one found in Gudnja cave falls under the J-Z638 branch which majority of Albanian J2b2-L283 falls underQuote:
I26726, 1461 BCE, Croatia_MBA, Gudnja cave, J-L283>>Z615>Z597>Z638>Z1297 (B440-, Y37818-, Y1421-)
https://www.yfull.com/chart/tree/J-Z638/
There is also some Albanian J2b2-L283 that falls under those other branches
I suspect they are from Nice, Italian town not long ago and next to the border, that's why it's so far off people that are actually from this region. Outliers in either direction might be from recent immigration, both from other parts of France and Italy (many people from all over France in recent times have wanted to come and settle in PACA)
It's kind of same for the "French_South" sample, they are from two bordering regions of Basques but at least they are French ethnically or rather highly French Basque, as you would expect but surely not a half of the country.
Surprised by the lack of Germanic....
Nevertheless, the British Isles isn't technically a strong Germanic stronghold when it comes down to it.
Distance to: de_Burgh_II
5.83958046 Insular_Celtic
10.45500837 Germanic
12.25072243 Gaulish
33.44975934 Roman
34.62838720 Finnic
35.08013255 Balkanic
36.73588164 Slavic
45.83543607 Baltic
103.60283008 SSA
Target: de_Burgh_II
Distance: 0.8570% / 0.85699466
68.9 Insular_Celtic
30.1 Gaulish
1.0 Roman
It makes logical sense if you think about it. The Britons were a loose collection of Celtic tribes living in hill forts with a pastoralist culture without written records. Druids controlled administrative, judicial and other practical matters when it came to tribal affairs. Hence, their way of life was contrarian to the imperialist/cosmopolitan way of life of ancient Romans/Greeks who were more centered with a centralized bureaucracy. Ancients Celts were decentralized, tribal pastoralists before they were Romanized by the Romans.
Nevertheless, Celts were highly intelligent and civilized in their own way contrary to Roman accounts:
https://eupedia.com/europe/celtic_trivia.shtmlQuote:
Society, Culture & Lifestyle
The Celts actively traded with the Mediterranean world, exchanging notably their iron tools and weapons for wine and pottery. They also imported amber from the Baltic to resell to the Romans and Greeks.
The Celts preempted the Romans in their construction of a road network across the European continent.
The Celtic world was very decentralised compared to the Roman one, but at least a dozen Celtic towns possessed high stone walls rivalling those of Rome at the time. The longest were 5km long.
Recent studies have shown that the Celts were more advanced than the Romans in some scientific and economic aspects. Pre-Roman Celtic calendars were much more accurate than the Roman one. In fact, they were possibly more accurate than the Gregorian calendar in use nowadays.
Each Galatian tribe was organised in four septs (clans), each ruled by a tetrach (chief), assisted by a judge, a general and two deputy generals. Each sept sent 25 senators to a central shrine called Drunemeton.
The Celts were immensely rich. We now know that Julius Caesar's main reason to conquer Gaul was to lay hands on Celtic gold. Over 400 Celtic gold mines were found in France alone. The Romans had little gold on their home territory, so the conquest of Gaul was a tremendous boost to their power.
The Celtic nobility were also known to be clean shaven with well trimmed hair following the fashion of the time. Tweezers were also found on archeological sites.
Ancient Celtic society gave much more freedom and power to women than the Greeks and Romans did. Greco-Roman housewives were prohibited to do business and mostly sequestrated in their home under the supervision of male family members. Celtic women could sometimes become powerful tribe leaders, and were also known to go to war.
Celtic Warfare & Technology
The Celts invented the chainmail (around 300 BCE) and the helmets later used by Roman legionaries. Celtic swords and shields were at least as good as the Roman's.
The decoration of the Celtic weapons, chariots and artifacts was in many ways superior to those of many Mediterranean cultures.
Gauls at the time of Julius Caesar were described as wearing shiny, gold-like armours and swords.
The Celts' early development of prime iron weapons and armoury gave them a military advantage over the neighbours. It permitted them to conquer and subdue most of Europe for many centuries.
The Celts had a reputation of fearsome barbarians among the Greeks and Romans. Around 400 BCE, they seized the territory that lay between the Appeninne mountains and the Alps (i.e. northern Italy), then went on to plunder Rome in 390 BCE. Even Alexander the Great made sure of avoiding war with the Celts, eagerly signing a peace treaty with them in 335 BCE, before embarking on his conquest of Persia. After his death, the Celts became a threat for the Greeks again. Lured by the wealth accumulated in Greek temples by Alexander, the Galatian Celts invaded Macedonia in 281 BCE and sacked Delphi in 279 BCE.
Their defeat against the Romans was mainly due to the fact that they were disunited against the Roman enemy, and victims of internal tribal struggles.
It is estimated that Julius Caesar massacred 1 out of 10 million of Celts in Gaul, and put another million into slavery. In modern terms, this would be called a genocide.
Religion & Beliefs
Like the Greeks, Romans, Germans and Hindus, the Celts were polytheists, and divinities varied from region to region, with a few major gods (like Lugh) recognised everywhere. Like the Romans, the Celts did not hesitate to venerate foreign gods as well.
Druids were not only priests, diviners and astronomers, they were also judges, mediators, and political advisers who played an important role in declarations of war or peace.
It took about 20 years of formation to become a Druid. Like the Christian clergy in the Middle Ages, Druids were usually from noble extraction, and trained from boyhood.
Druidism might have originated in Britain. Nevertheless, Druids held their great annual assembly in the territory of the Carnutes, in central Gaul.
Oaks were of primordial importance in Celtic religion. Druids ritually cut mistletoe off oak trees. The word "Druid" is related to the Celtic term for oak, and the gathering place for Galatian druids was called Drunemeton, literally "oak sanctuary".
The Celts practised ritual human sacrifice to the gods, typically near water (lake, river, spring) and/or in forest groves. Victims were most often war prisoners or criminals. Druids being both judges and priests, it was a way of combining judicial or military executions with the honouring of the gods.
The Celts didn't believe in heaven or hell, but believed in automatic reincarnation on Earth, regardless of one's deeds in life.
Greek writers recall that, when meeting Alexander the Great, the Celts boasted that they feared nothing unless it were that Heavens might fall on them.
Celtic warriors decapitated the defeated after a battle, took the heads back home as trophies, and exposed the headless bodies hanging on wooden frames.
Sometimes, they replaced humans by huge amphoras of wine, and simulated the decapitation by cutting off the top of the amphora with a sword. The spilling wine would represent the blood.
One of the most prominent Celtic deity in Gaul and Britain was Lug(us) (or Lugh in Irish mythology), whose great shrine was at Lugdunum (modern Lyon). Patron of trade and commerce, protector of travellers, and the inventor of all the arts, Lug's attributes identify him as the equivalent of the Roman god Mercury or the Greek god Hermes. Lug's feast was celebrated on 1st August. His symbol is the crow.
The Celts compared to the Greeks and Romans
Greco-Roman writers typically tell horrified accounts of the barbarous Celtic practice of human and animal sacrifice. Nevertheless, both Greeks and Romans sacrificed animals to the gods, and sometimes even humans (as did king Agamemnon with his own daughter). The Romans also famously organised games in which human beings fought each others in arenas to death for the pleasure of spectators. Furthermore, the Romans crucified political opponents and had prisoners killed or eaten alive by wild beasts in arenas. Overall, Celtic religious sacrifices were certainly less cruel and barbaric than what the Romans did.
The Celts didn't put water into their wine, which was seen as a barbaric practice by the Greeks and the Romans. The Celtic way is the one that prevailed in modern times though, so it may not be that barbaric after all.
Nevertheless, there is historical evidence that Southern Brittonic tribes minted their own coins (albeit crude designs) due to exchanges with Northern Gaulish tribes on the mainland.
https://images.vcoins.com/product_im...z7NfBj2T84.jpg
https://images.vcoins.com/product_im...e2Tcqn9X6g.jpg
Caption:
Ancient Celtic Gold Stater Coin Minted under King Verica - 10 AD
Ancient Coins - Ancient Celtic Gold Stater Coin Minted under King Verica - 10 AD
zoom view
A remarkable example of an ancient Celtic rose gold stater. Struck under King Verica, ruler of the Atrebates tribe of southern England, circa 10 - 40 AD.
The obverse with rectangular tablet inscribed:
COM F
"Son of Commius"
The reverse with a Celtic warrior (possibly Verica) galloping right and brandishing spear. The inscription reading:
VIR REX
"King Vericus"
An important coin minted under King Verica, a man credited with changing the history of the British isles forever.
Verica was one of the most powerful Celtic Kings of Late Iron Age Britain. He took control of the Atrebates tribe sometime around the early 1st century AD and governed a large part of Southern England. He was second only in influence to the famous Cunobeline (Shakespeare's Cymbeline).
In the mid to late 30's AD, Verica's northern neighbours, the Catuvellauni, invaded and expelled him and his people from their tribal lands. In response, Verica took a drastic course of action which would forever change the lives of the British population and their descendents. He fled to Rome to ask for the help of Emperor Claudius. The Roman historian Casius Dio records:
"Aulus Plautius, a senator of great renown, made a campaign against Britain; for a certain Vericus, who had been ejected from the island during a revolution, had persuaded Emperor Claudius to send a body of troops there."
It is thus most likely that Verica's appeal and subsequent help (using his knowledge of local military tactics and geography) enabled the Romans to finally capture Britain, in so doing starting a new chapter in the story of the British Isles and her people.
Weight: 5.30 g
Diameter: 17.70 mm
https://www.vcoins.com/en/stores/art...2/Default.aspx
https://www.youtube.com/watch?v=BowKQGCsdKY&list=LL&index=22&t=978s