Karitiana Ulchi 64.45 AfontovaGora3 34.2 Dai 1.35 distance%=0.5479/distance=0.005479 Wichi Ulchi 66.8 AfontovaGora3 33.2 Dai 0 distance%=0.5055/distance=0.005055 Kalash Iran_Neolithic:I1945 38.6 Paniya 20.2 Yamnaya_Samara:I0357 17.4 Afanasievo:RISE509 16.55 Andronovo:RISE505 3.8 Iran_Late_Neolithic:I1671 3.45 Iran_Hotu:I1293 0 distance%=0.3793/distance=0.003793 Brahmin_Uttar_Pradesh Paniya 54 Yamnaya_Samara:I0357 24.55 Iran_Neolithic:I1945 21.45 Afanasievo:RISE509 0 Andronovo:RISE505 0 Iran_Hotu:I1293 0 Iran_Late_Neolithic:I1671 0 distance%=0.997/distance=0.00997 Brahmin_Tamil_Nadu Paniya 57.2 Iran_Neolithic:I1945 27.7 Yamnaya_Samara:I0357 15.1 Afanasievo:RISE509 0 Andronovo:RISE505 0 Iran_Hotu:I1293 0 Iran_Late_Neolithic:I1671 0 distance%=1.0312/distance=0.010312 Pathan Paniya 24.9 Iran_Neolithic:I1945 23.15 Andronovo:RISE505 19.95 Iran_Late_Neolithic:I1671 17.85 Yamnaya_Samara:I0357 14.15 Afanasievo:RISE509 0 Iran_Hotu:I1293 0 distance%=0.5729/distance=0.005729It's interesting to note that the Dai from southern China help to improve the fit for Karitiana from the Amazon basin, but not the Wichi from Argentina. Also, Andronovo significantly improves the fit for the East Iranian Pathans or Pashtuns, but clearly not as much for the Indo-Aryan Kalash, and none at all for Brahmins from India, who are also Indo-Aryans. Why? Don't know, but it might well be an important question in regards to the origins and spread of Indo-Iranian languages. See also... The peopling of South Asia: an illustrated guide
Friday, October 14, 2016
A fresh look at global genetic diversity
Below is my new Principal Component Analysis (PCA) or genetic map of global human population structure. I think it's a little bit special, and we can discuss why in the comments if anyone's interested. The datasheet is available here; it can be used to generate 2D and 3D PCA plots, and to model samples of your choice using the nMonte and 4mix R scripts.