Here is a new admixture calculator. This uses populations all over the world and I got the best results (i.e., lowest crossvalidation error) at K=16.
You can see the admixture results for different ethnic groups as well as results for individual (founder-only) project participants.
UPDATE: The population results have been calculated using weighted means.
The group results are also shown in the usual interactive bar chart below. You can click on the component labels to sort by that ancestral component.
Do note that the admixture components do not necessarily represent real ancestral populations. Also, the names I have chosen for the components should be thought of as mnemonics to ease discussion. I chose them based on which populations in my data these components peaked in. They do not tell anything directly about ancestral populations. The best way to look at these admixture results is by comparing individuals and populations.
I used about 188,173 SNPs for this run. The results for Henn2011 (181,223 SNPs for Hadza, Sandawe and San, 26,494 SNPs for other groups), Henn2012 (26,494 SNPs), Reich (48,967 SNPs) and Xing (18,986 SNPs) datasets reported above were however calculated using lower number of common SNPs. Hence caution should be exercised in interpreting those results.
You can also see the Fst distances between the ancestral components.
I should have HarappaWorldOracle and DIYHarappaWorld calculators out in the next few days.
Also, I am working on another calculator which will focus more closely on South Asia.