We Europeans also score SSA, Oceanian and so on, humanity does have ancient components from all over the world. You can't deny their ethnicity just because they have little bit of European genes in them.
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A big problem with these GEDmatch calculators is that they're fucking noisy, there's no way a Chinese or Polish person really scores 1-2% SSA or Oceanian in the components. On Global25 this doesn't happen.
Luke, please add these, they're good enough
Code:Pamiri_Wakhan,31.54,5.87,0,1.18,3.47,21.98,13.53,0.10,0.78,5.85,15.68,0.03
Code:Iranian_Zoroastrian,28.13,0.61,1.06,0.49,6.18,9.13,4.68,0.27,12.55,0.22,36.39,0.29
Code:Iranian_Central,27.04,0.96,0.37,0.64,6.16,7.35,5.77,0.78,12.87,0.66,36.64,0.68
Dear Lucas, please add these new Dzungaria and Tarim Basin ancient individuals into G25:
Code:CHN_Dzungaria_EBA1:AYIM22BN,0.111547,0.031481,0.051288,0.127909,-0.052933,0.049364,-0.014336,-0.015461,-0.039678,-0.073077,0.005034,-0.007943,0.004608,-0.038534,0.028501,0.021347,-0.004172,-0.004054,-0.007165,0.008379,-0.012852,0.000495,0.004683,0.020846,0.000718
CHN_Dzungaria_EBA1:AYIM22BY,0.104717,0.014217,0.050534,0.114343,-0.055703,0.036535,-0.012926,-0.008538,-0.046631,-0.073623,0.00747,-0.007044,0.010555,-0.042388,0.038002,0.012861,-0.018123,0.004814,0.000126,-0.003252,-0.008859,0.008408,0.01405,0.020244,-0.012933
CHN_Dzungaria_EBA1:SSGM16,0.119514,0.026404,0.052043,0.134369,-0.046778,0.041276,-0.00705,-0.017538,-0.050517,-0.078179,0.005359,0.00045,0.00773,-0.036057,0.03963,0.016176,-0.01343,-0.005321,-0.007039,0.005378,-0.01697,0.004081,0.012818,0.025425,-0.00455
CHN_Dzungaria_EBA2:G218M5-2,0.10927,-0.008124,0.056945,0.122418,-0.062781,0.041276,-0.011516,-0.023999,-0.044586,-0.071437,0.004872,0.003147,0.009663,-0.049269,0.029044,0.021745,-0.006389,0.00076,-0.011941,0.005503,-0.01697,0.008037,0.018241,0.022533,-0.003473
CHN_Dzungaria_EBA2:G218M5-3N,0.104717,-0.035544,0.054305,0.115958,-0.057549,0.035698,-0.022091,-0.019384,-0.037632,-0.072165,0.001624,0.001499,0.02438,-0.04225,0.030673,0.008221,-0.020079,0.002154,0.003771,0.005378,-0.024083,0.012365,0.012078,0.025907,-0.003952
CHN_Tarim_EMBA1:GMGM1,0.094473,-0.121864,0.067127,0.192832,-0.11356,0.038208,-0.043242,-0.060459,-0.045813,-0.100594,0.024521,-0.015137,0.025718,-0.068123,0.022801,0.027844,-0.025295,-0.004054,-0.006788,-0.001251,-0.040928,0.00136,0.021815,0.008555,-0.0097
CHN_Tarim_EMBA1:L5209,0.104717,-0.099522,0.075047,0.203814,-0.117868,0.047133,-0.053347,-0.063459,-0.042336,-0.097679,0.028418,-0.014087,0.033151,-0.074591,0.029451,0.024396,-0.017993,-0.00266,0.004525,-0.004002,-0.052158,0.012489,0.035126,0.020003,-0.003353
CHN_Tarim_EMBA1:L5213,0.101303,-0.103584,0.075424,0.198646,-0.115406,0.053268,-0.047237,-0.067382,-0.049086,-0.096767,0.026469,-0.01124,0.020367,-0.072802,0.030809,0.025325,-0.015125,-0.001014,0.003017,-0.011255,-0.05091,0.006677,0.019843,0.013616,-0.00479
CHN_Tarim_EMBA1:L6101,0.104717,-0.100537,0.078441,0.202845,-0.107712,0.029841,-0.055698,-0.057228,-0.043564,-0.08966,0.022572,-0.01169,0.020069,-0.06193,0.02253,0.031954,-0.01682,0.0019,0.008799,-0.00075,-0.057024,-0.00371,0.017378,0.007471,-0.006706
CHN_Tarim_EMBA1:L6103,0.104717,-0.101553,0.078818,0.201876,-0.109559,0.051037,-0.042537,-0.059997,-0.046427,-0.093487,0.027444,-0.015137,0.022448,-0.079271,0.022122,0.018828,-0.011604,-0.004687,0.003268,-0.013757,-0.052782,0.000866,0.020952,0.012773,-0.017244
CHN_Tarim_EMBA1:L6105,0.094473,-0.103584,0.072407,0.208336,-0.125562,0.051316,-0.048882,-0.061844,-0.039064,-0.093305,0.037512,-0.015736,0.026462,-0.074729,0.019272,0.01538,-0.029858,-0.003041,-0.005279,-0.012006,-0.05116,0.014096,0.025389,0.013737,-0.006227
CHN_Tarim_EMBA1:L6106,0.092197,-0.102568,0.072407,0.215119,-0.117868,0.054105,-0.051232,-0.058151,-0.036814,-0.089842,0.03264,-0.01139,0.029137,-0.071151,0.033387,0.019093,-0.01369,0.002027,0.008547,-0.01063,-0.052907,0.002968,0.025019,0.012652,-0.012454
CHN_Tarim_EMBA1:XHM75,0.110408,-0.09546,0.064865,0.207367,-0.118176,0.0502,-0.048412,-0.066228,-0.035178,-0.100594,0.028743,-0.013488,0.027651,-0.074454,0.02633,0.022408,-0.025425,-0.001014,-0.003142,-0.004002,-0.044921,0.018177,0.029086,0.020244,-0.014609
CHN_Tarim_EMBA1:XHM100,0.106994,-0.102568,0.070522,0.204783,-0.11356,0.044344,-0.047472,-0.063459,-0.034769,-0.104239,0.028418,-0.012139,0.022002,-0.071426,0.023072,0.022408,-0.019036,0.000633,-0.003771,-0.012631,-0.048914,0.014962,0.024157,0.015183,-0.003712
CHN_Tarim_EMBA1:XHM110,0.108132,-0.093429,0.067505,0.198,-0.109251,0.044344,-0.052877,-0.05169,-0.044791,-0.099319,0.022897,-0.014387,0.020069,-0.071977,0.030944,0.025855,-0.020992,-0.001267,0.005656,0.003752,-0.052033,0.005564,0.018117,0.013375,-0.008502
CHN_Tarim_EMBA1:XHM135,0.104717,-0.097491,0.074293,0.193155,-0.117253,0.051316,-0.046532,-0.058151,-0.046631,-0.097132,0.030367,-0.014387,0.023934,-0.061655,0.024565,0.021612,-0.019427,-0.004561,-0.001634,0,-0.049163,0.006183,0.024033,0.014701,-0.007784
CHN_Tarim_EMBA2:11KBM1,0.104717,-0.118817,0.078441,0.199938,-0.088016,0.05271,-0.041127,-0.053998,-0.035587,-0.086015,0.022572,-0.012739,0.02334,-0.052985,0.002443,0.02612,-0.003651,0.007095,-0.003771,-0.01013,-0.057773,0.011376,0.019843,0.02663,0.002155
@Lucas, do you know that a huge amount of South and Central Asian G25 have been processed this week. Samples from GSA Chinese dataset and Reich Lab dataset were processed. https://ngdc.cncb.ac.cn/bioproject/browse/PRJCA000456
1. Sarikoli/Wakhi (Tajik group) from Xinjiang, China
2. Tajiks from Badakhshan, Tajikistan
https://drive.google.com/file/d/12US...ew?usp=sharing
3. Balti samples from North Pakistan (https://academic.oup.com/mbe/article/38/4/1529/6025184)
https://docs.google.com/document/d/1...it?usp=sharing
4. Kashmiri samples from Pakistan
5. HGDP Punjabi Lahore Pakistan samples
https://docs.google.com/document/d/1...t?usp=drivesdk
https://www.dropbox.com/s/e5t7nc71qg...n_G25.txt?dl=1
Finally
6. Gujaratis from Houston (GIH)
7. Indian Telugus from UK
8. Sri Lankan Tamils from UK
https://docs.google.com/document/d/1...it?usp=sharing
Not only that: this morning the modern populations of Russian_Tver, Russian_Smolensk, Russian_Orel, Russian_Kursk were updated and new ones were added, such as Russian_Belgorod, Russian_Kaluga, Russian_Krasnoborsky, Russian_Leshukonsky, Russian_Pinezhsky, Russian_Pskov, Russian_Ryazan and Russian_Yaroslavl.