Methods for Mediation Analysis with High-Dimensional DNA Methylation Data: Possible Choices and Comparison.

ABSTRACT: Epigenetic researchers often evaluate DNA methylation as a mediator between social/environmental exposures and disease, but 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 national cohort in the United States, while providing an R package for their implementation. Among the considered choices, the best-performing methods for detecting active mediators in simulations are the Bayesian sparse linear mixed model by Song et al. (2020) and high-dimensional mediation analysis by Gao et al. (2019); while the superior methods for estimating the global mediation effect are high-dimensional line

SUBMITTER: Clark-Boucher D 

PROVIDER: S-EPMC9949196 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature