Rasmussen Likely Relatives

As part of my effort to create one big reference dataset for my use, I have been going over all the datasets I have and make sure there's no duplicates or relatives or any other strange things that could cause issues with my analysis.

So I went back to the Rasmussen et al dataset, which you can download from here.

While there are no duplicates, 9 pairs of samples have high IBS values (85% similar or more) and seem to be related (Plink PI_HAT > 0.5). You can see the IBD results in a spreadsheet, along with the 8 samples I removed.

Related Reading:

An Easy Way To Understand Crohn's Disease and IBD (Mini Health Series)
Over in the Arctic: Where the Cold Winds Blow (Sharing Nature with Children Books)
Investor's Business Daily and the Making of Millionaires: How IBD Rewrote the Rules of Investing and Business News
IBD Self-Management: The AGA Guide to Crohn's Disease and Ulcerative Colitis
Merriam-Webster's Everyday Language Reference Set

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