Using Dienekes' data, I was trying to figure out which South Asian populations had more DNA chunks in common with other groups when I ran into something strange. Looking at the chunkcount spreadsheet, if we focus on a recipient population (i.e., one row), we can see which populations contributed more "chunks". For most populations, the results are expected. It's either the same population or some close population. For example, let's look at top 5 matches for Velamas_M,
However, when we do the same for Pathans, Sindhis, Uttar Pradesh Brahmins, Kshatriyas and Muslims, we get strange results.
Do Pathans match Chamar the best? Pathans don't show up as a donor till #11.
Again, Sindhis as donors are #12.
The same Brahmins_UP_M are #13 as donors.
Muslim_M are #8 as donors.
There is a pattern here among the top donors for these populations. The same populations show up time and again.
Compare to my results (with a larger South Asian dataset) now. The top 10 matches for Pathans are:
For Brahmins from Uttar Pradesh,
If Dienekes can post a chunkcount file for the clusters computed by fineSTRUCTURE, may be we can try to figure out what happened.
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