Visualizing sample relatedness in a GWAS using PLINK and R

October 9, 2009
By

(This article was first published on Getting Genetics Done, and kindly contributed to R-bloggers)

Strict quality control procedures are extremely important for any genome-wide association study.  One of the first steps you should take when running QC on your GWAS is to look for related samples in your dataset.  This does two things for you.  First, you can get an idea of how many related samples you have in your dataset, and second, if you have access to self-report relationship information,

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