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A Pleiotropy-Informed Bayesian False Discovery Rate adapted to a Shared Control Design Finds New Disease Associations From GWAS Summary Statistics

2015-02-04

Abstract excerpt

Genome-wide association studies (GWAS) have been successful in identifying single nucleotide polymorphisms (SNPs) associated with many traits and diseases. However, at existing sample sizes, these variants explain only part of the estimated heritability [1]. Leverage of GWAS results from related phenotypes may improve detection without the need for larger datasets [2]. The Bayesian conditional false discovery rate...

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Literature Corpus work
5201678e-6dd8-523e-8e98-f7cff2b5799d
DOI
10.1101/014886
Open publication

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A Pleiotropy-Informed Bayesian False Discovery Rate adapted to a Shared Control Design Finds New Disease Associations From GWAS Summary StatisticsDOI 10.1101/014886
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