Ontology highlight
ABSTRACT:
SUBMITTER: Broadaway KA
PROVIDER: S-EPMC4800053 | biostudies-literature | 2016 Mar
REPOSITORIES: biostudies-literature
Broadaway K Alaine KA Cutler David J DJ Duncan Richard R Moore Jacob L JL Ware Erin B EB Jhun Min A MA Bielak Lawrence F LF Zhao Wei W Smith Jennifer A JA Peyser Patricia A PA Kardia Sharon L R SLR Ghosh Debashis D Epstein Michael P MP
American journal of human genetics 20160301 3
Increasing empirical evidence suggests that many genetic variants influence multiple distinct phenotypes. When cross-phenotype effects exist, multivariate association methods that consider pleiotropy are often more powerful than univariate methods that model each phenotype separately. Although several statistical approaches exist for testing cross-phenotype effects for common variants, there is a lack of similar tests for gene-based analysis of rare variants. In order to fill this important gap, ...[more]