Admixture (Ref3 K=11) HRP0211-HRP0220

Here are the admixture results using Reference 3 for Harappa participants HRP0211 to HRP0220.

You can see the participant results in a spreadsheet as well as their ethnic breakdowns and the reference population results.

Here's our bar chart and table. Remember you can click on the legend or the table headers to sort.

If the above interactive charts are not working, here's a static bar graph.

Do note that small percentages for your results can be noise.

HRP0211 seems like a typical Tamil Brahmin.

HRP0212 is half-Fijian, half Indian/Pakistani/Afghan. It looks like his Fijian ancestry shows up as Papuan and East Asian mostly.

HRP0213 is a Gujarati Khoja whose results are not just different from the Gujarati Patels (Gujarati A) but also from HRP0130, a Gujarati Ganchi and HapMap Gujarati B.

HRP0216 is an Iraqi Assyrian and is a little more European than the other Assyrians. The Onge, Papuan and American are likely noise.

HRP0217 and HRP0218 are Kazakhs and fairly similar to the other Kazakhs in the project.

This will probably be the last admixture analysis using Reference 3.

Related Reading:

Deep Ancestry: Inside The Genographic Project
Start & Run a Personal History Business: Get Paid to Research Family Ancestry and Write Memoirs
Quicksheet Citing Ancestry.com Databases & Images
Understanding Harappa

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13 Comments.

  1. Thank you for posting these results, appreciated.

    "This will probably be the last admixture analysis using Reference 3."

    Zack, not to hurry you or anything of the sort, but, when do you expect that you will release your new ADMIXTURE analysis? Is there anything new we can expect from it, at least relative to the admixture exercises carried out by other projects (Dodecad/Eurogenes) and the ones here at HAP in the past?

    • I expect to have it ready by the end of the month.

      • Thanks, Zack. Also, HRP211 has ~3% Siberian admixture. What do you make of that?

        • I am not sure. HRP0211 is the only Tamil Brahmin to have Siberian component > 3%. In fact the only other South Indian Brahmin who has 3% is a Kannada Brahmin.

          It's a little too big to be noise, but it's possible the standard error is more than 1%.

          Since there are a few 1-2% results, I am running error estimation right now.

  2. Is the South Asian I'm scoring ANI, ASI or a combination of both? I know this is probably a stupid question, but I was curious to know.

  3. Any plan for a calculator based on DIYDodecad? Comparing your dataset and components with another project like this would be interesting: http://dodecad.blogspot.com/2011/10/comparing-different-admixture-runs.html

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