Bayesian analysis of longitudinal traits in the Korea Association Resource (KARE) cohort.

ABSTRACT: Various methodologies for the genetic analysis of longitudinal data have been proposed and applied to data from large-scale genome-wide association studies (GWAS) to identify single nucleotide polymorphisms (SNPs) associated with traits of interest and to detect SNP-time interactions. We recently proposed a grid-based Bayesian mixed model for longitudinal genetic data and showed that our Bayesian method increased the statistical power compared to the corresponding univariate method and well detected SNP-time interactions. In this paper, we further analyze longitudinal obesity-related traits such as body mass index, hip circumference, waist circumference, and waist-hip ratio from Korea Association Resource data to evaluate the proposed Bayesian method. We first conducted GWAS analyses of cr

SUBMITTER: Chung W 

PROVIDER: S-EPMC9299561 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature