Modeling of multivariate longitudinal phenotypes in family genetic studies with Bayesian multiplicity adjustment.

ABSTRACT: Genetic studies often collect data on multiple traits. Most genetic association analyses, however, consider traits separately and ignore potential correlation among traits, partially because of difficulties in statistical modeling of multivariate outcomes. When multiple traits are measured in a pedigree longitudinally, additional challenges arise because in addition to correlation between traits, a trait is often correlated with its own measures over time and with measurements of other family members. We developed a Bayesian model for analysis of bivariate quantitative traits measured longitudinally in family genetic studies. For a given trait, family-specific and subject-specific random effects account for correlation among family members and repeated measures, respectively. Correlation b

SUBMITTER: Ding L 

PROVIDER: S-EPMC4143665 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature