From now on, instead of waiting till I have a batch of 10 new participants to compute their Admixture results, I'll run admixture at the start of the month for those who submitted their data during the previous month.
So I have added the HarappaWorld Admixture results for HRP0240-HRP0244 to the individual spreadsheet.
I have also recomputed the weighted averages for Bengalis (from 3 to 5 now), Kerala Muslims (from 1 to 2), and Georgians (from 3 to 4) while adding a new one for our first North Ossetian participant.
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. Finally, the standard error estimates on these results can be about 1%. Therefore, it is entirely possible that your 1% exotic admixture result is just noise.
Hi Zack,
I just noticed something peculiar about the results of the Tamil Pulliyars. They have 0% Baloch but 9% Caucasus. What explains this? Is this due to ADMIXTURE's inability to distinguish between somewhat overlapping components? Dienekes' Dodecad K12a/b also portrayed something similar with regards to the Metspalu et al. Pulliyars.
That might be an error in metsapalu data. Pulliyar should locate right next to TN-Dalit or TN-scheduled caste. In fact , they are the most representative Dalit or Scheduled caste community being possibly the most numerous.
That is unusual compared to all the other South Asian groups, but I have no idea why that is.
Irula from xing et al also have 13% caucasian but 1% baloch and paniya from chaubey et al have 3% caucasian and 0% baloch