Using a Bayesian latent variable approach to detect pleiotropy in the Genetic Analysis Workshop 18 data.

ABSTRACT: Pleiotropy, which occurs when a single genetic factor influences multiple phenotypes, is present in many genetic studies of complex human traits. Longitudinal family data, such as the Genetic Analysis Workshop 18 data, combine the features of longitudinal studies in individuals and cross-sectional studies in families, thus providing richer information about the genetic and environmental factors associated with the trait of interest. We recently proposed a Bayesian latent variable methodology for the study of pleiotropy, in the presence of longitudinal and family correlation. The purpose of this work is to evaluate the Bayesian latent variable method in a real data setting using the Genetic Analysis Workshop 18 blood pressure phenotypes and sequenced genotype data. To detect single-nucleoti

SUBMITTER: Xu L 

PROVIDER: S-EPMC4143687 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature