Methods for mediation analysis with high-dimensional DNA methylation data: Possible choices and comparisons.

ABSTRACT: Epigenetic researchers often evaluate DNA methylation as a potential mediator of the effect of social/environmental exposures on a health outcome. Modern statistical methods for jointly evaluating many mediators have not been widely adopted. We compare seven methods for high-dimensional mediation analysis with continuous outcomes through both diverse simulations and analysis of DNAm data from a large multi-ethnic cohort in the United States, while providing an R package for their seamless implementation and adoption. Among the considered choices, the best-performing methods for detecting active mediators in simulations are the Bayesian sparse linear mixed model (BSLMM) and high-dimensional mediation analysis (HDMA); while the preferred methods for estimating the global mediation effect are

SUBMITTER: Clark-Boucher D 

PROVIDER: S-EPMC10655967 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature