Longitudinal SNP-set association analysis of quantitative phenotypes.

ABSTRACT: Many genetic epidemiological studies collect repeated measurements over time. This design not only provides a more accurate assessment of disease condition, but allows us to explore the genetic influence on disease development and progression. Thus, it is of great interest to study the longitudinal contribution of genes to disease susceptibility. Most association testing methods for longitudinal phenotypes are developed for single variant, and may have limited power to detect association, especially for variants with low minor allele frequency. We propose Longitudinal SNP-set/sequence kernel association test (LSKAT), a robust, mixed-effects method for association testing of rare and common variants with longitudinal quantitative phenotypes. LSKAT uses several random effects to account for

SUBMITTER: Wang Z 

PROVIDER: S-EPMC5154867 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature