A 2-step strategy for detecting pleiotropic effects on multiple longitudinal traits.

ABSTRACT: Genetic pleiotropy refers to the situation in which a single gene influences multiple traits and so it is considered as a major factor that underlies genetic correlation among traits. To identify pleiotropy, an important focus in genome-wide association studies (GWAS) is on finding genetic variants that are simultaneously associated with multiple traits. On the other hand, longitudinal designs are often employed in many complex disease studies, such that, traits are measured repeatedly over time within the same subject. Performing genetic association analysis simultaneously on multiple longitudinal traits for detecting pleiotropic effects is interesting but challenging. In this paper, we propose a 2-step method for simultaneously testing the genetic association with multiple longitudinal t

SUBMITTER: Wang W 

PROVIDER: S-EPMC4202779 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature