DNA methylation modules associate with incident cardiovascular disease and cumulative risk factor exposure.

ABSTRACT:

Background

Epigenome-wide association studies using DNA methylation have the potential to uncover novel biomarkers and mechanisms of cardiovascular disease (CVD) risk. However, the direction of causation for these associations is not always clear, and investigations to-date have often failed to replicate at the level of individual loci.

Methods

Here, we undertook module- and region-based DNA methylation analyses of incident CVD in the Women's Health Initiative (WHI) and Framingham Heart Study Offspring Cohort (FHS) in order to find more robust epigenetic biomarkers for cardiovascular risk. We applied weighted gene correlation network analysis (WGCNA) and the Comb-p algorithm to find methylation modules and regions associated with incident CVD in the WHI dataset.

Results</

SUBMITTER: Westerman K 

PROVIDER: S-EPMC6792327 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature