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A fast and accurate algorithm to test for binary phenotypes and its application to PheWAS

By Roopkatha Dey and others at
LogoUniversity of Michigan
The availability of electronic health record (EHR)-based phenotypes allows for genome-wide association analyses in thousands of traits, and has great potential to identify novel genetic variants associated with clinical phenotypes. We can interpret the phenome-wide association study (PheWAS) result for a single genetic variant by observing its association across a... Show more
June 2, 2017
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A fast and accurate algorithm to test for binary phenotypes and its application to PheWAS
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