Mendelian randomization analysis of a time-varying exposure for binary disease outcomes using functional data analysis methods.

ABSTRACT: A Mendelian randomization (MR) analysis is performed to analyze the causal effect of an exposure variable on a disease outcome in observational studies, by using genetic variants that affect the disease outcome only through the exposure variable. This method has recently gained popularity among epidemiologists given the success of genetic association studies. Many exposure variables of interest in epidemiological studies are time varying, for example, body mass index (BMI). Although longitudinal data have been collected in many cohort studies, current MR studies only use one measurement of a time-varying exposure variable, which cannot adequately capture the long-term time-varying information. We propose using the functional principal component analysis method to recover the underlying ind

SUBMITTER: Cao Y 

PROVIDER: S-EPMC5123677 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature