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ShaPRS: Leveraging shared genetic effects across traits or ancestries improves accuracy of polygenic scores

2021-12-11

Abstract excerpt

We present shaPRS, a novel method that leverages widespread pleiotropy between traits, or shared genetic effects across ancestries, to improve the accuracy of polygenic scores. The method uses genome-wide summary statistics from two diseases or ancestries to improve the genetic effect estimate and standard error at SNPs where there is homogeneity of effect between the two datasets. When there is significant eviden...

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Literature Corpus work
29af74d5-55c5-5961-a5a3-e26b77a641e0
DOI
10.1101/2021.12.10.21267272
Open publication

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ShaPRS: Leveraging shared genetic effects across traits or ancestries improves accuracy of polygenic scoresDOI 10.1101/2021.12.10.21267272
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