Hello! I have written an explainer on genome-wide association studies and genetic risk. https://www.vox.com/science-and-health/2018/8/23/17527708/genetics-genome-sequencing-gwas-polygenic-risk-score … Working on this story made me feel like my brain was going to explode.
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Excellent job!
@ebwarephd and@colterm are experts in this area and spend a lot of time on the race issue and GWAS. It is a serious limitation. The lack of population representation is also a problem in generalizing this data. However, at least they are looking at actual genesThanks. Twitter will use this to make your timeline better. UndoUndo
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If you haven't I would suggest talking to
@Graham_coop and reading thishttps://gcbias.org/2018/03/14/polygenic-scores-and-tea-drinking/ …Thanks. Twitter will use this to make your timeline better. UndoUndo
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I wrote a book on this a few years back: http://researcharchive.vuw.ac.nz/handle/10063/1987 …pic.twitter.com/pGCfHqgIfq
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A bigger problem with population structure is that GWAS results may not even be relevant in the population that is being studied, let alone other populations. It's too easy to identify the wrong variants because case/control have different ancestries.https://twitter.com/gringene_bio/status/1021600178329935873 …
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Hey Brian! Checkout https://www.biorxiv.org/content/early/2017/02/05/106062 … we’re hoping to have it out in peer-review this year!
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