I'm looking for a 20,000-foot view / understanding of genome-wide association studies. Who should I talk to?
like, I saw this recently. It might be a fine paper. But I can imagine people/companies using the results in a weird wayhttps://www.biorxiv.org/content/early/2018/06/06/339226 …
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I'll reach you via email
Thanks. Twitter will use this to make your timeline better. UndoUndo
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So that is a weakly powered GWAS - very few ways it could used to predict anything. (Snake oil sales aside.) Educational attainment and height have some predictive power.
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^oo yes, these are the promises / pitfalls I want to learn about
End of conversation
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