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LPM: a latent probit model to characterize the relationship among complex traits using summary statistics from multiple GWASs and functional annotations

2018-10-11

Abstract excerpt

Much effort has been made toward understanding the genetic architecture of complex traits and diseases. Recent results from genome-wide association studies (GWASs) suggest the importance of regulatory genetic effects and pervasive pleiotropy among complex traits. In this study, we propose a unified statistical approach, aiming to characterize relationship among complex traits, and prioritize risk variants by lever...

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Literature Corpus work
a02a8756-f550-52f2-bdc0-0dde7abdb37d
DOI
10.1101/439133
Open publication

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LPM: a latent probit model to characterize the relationship among complex traits using summary statistics from multiple GWASs and functional annotationsDOI 10.1101/439133
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