Testing cross-phenotype effects of rare variants in longitudinal studies of complex traits.

ABSTRACT: Many gene mapping studies of complex traits have identified genes or variants that influence multiple phenotypes. With the advent of next-generation sequencing technology, there has been substantial interest in identifying rare variants in genes that possess cross-phenotype effects. In the presence of such effects, modeling both the phenotypes and rare variants collectively using multivariate models can achieve higher statistical power compared to univariate methods that either model each phenotype separately or perform separate tests for each variant. Several studies collect phenotypic data over time and using such longitudinal data can further increase the power to detect genetic associations. Although rare-variant approaches exist for testing cross-phenotype effects at a single time poi

SUBMITTER: Rudra P 

PROVIDER: S-EPMC5980726 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature