Multivariate partial linear varying coefficients model for gene-environment interactions with multiple longitudinal traits.

ABSTRACT: Correlated phenotypes often share common genetic determinants. Thus, a multi-trait analysis can potentially increase association power and help in understanding pleiotropic effect. When multiple traits are jointly measured over time, the correlation information between multivariate longitudinal responses can help to gain power in association analysis, and the longitudinal traits can provide insights on the dynamic gene effect over time. In this work, we propose a multivariate partially linear varying coefficients model to identify genetic variants with their effects potentially modified by environmental factors. We derive a testing framework to jointly test the association of genetic factors and illustrated with a bivariate phenotypic trait, while taking the time varying genetic effects in

SUBMITTER: Wang H 

PROVIDER: S-EPMC9308731 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature