Meta‐MultiSKAT: Multiple phenotype meta‐analysis for region‐based association test
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
Journal
Volume
43
Issue
7
Pages
800 - 814
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History