Accurate detection of shared genetic architecture from GWAS summary statistics in the small-sample context.

ABSTRACT: Assessment of the genetic similarity between two phenotypes can provide insight into a common genetic aetiology and inform the use of pleiotropy-informed, cross-phenotype analytical methods to identify novel genetic associations. The genetic correlation is a well-known means of quantifying and testing for genetic similarity between traits, but its estimates are subject to comparatively large sampling error. This makes it unsuitable for use in a small-sample context. We discuss the use of a previously published nonparametric test of genetic similarity for application to GWAS summary statistics. We establish that the null distribution of the test statistic is modelled better by an extreme value distribution than a transformation of the standard exponential distribution. We show with simulati

SUBMITTER: Willis TW 

PROVIDER: S-EPMC10461826 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature