Meta‐MultiSKAT: Multiple phenotype meta‐analysis for region‐based association test

Volume: 43, Issue: 7, Pages: 800 - 814
Published: Aug 21, 2019
Abstract
The power of genetic association analyses can be increased by jointly meta-analyzing multiple correlated phenotypes. Here, we develop a meta-analysis framework, Meta-MultiSKAT, that uses summary statistics to test for association between multiple continuous phenotypes and variants in a region of interest. Our approach models the heterogeneity of effects between studies through a kernel matrix and performs a variance component test for...
Paper Details
Title
Meta‐MultiSKAT: Multiple phenotype meta‐analysis for region‐based association test
Published Date
Aug 21, 2019
Volume
43
Issue
7
Pages
800 - 814
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