EpipwR: efficient power analysis for EWAS with continuous outcomes.

ABSTRACT:

Motivation

Epigenome-wide association studies (EWAS) have emerged as a popular way to investigate the pathophysiology of complex diseases and to assist in bridging the gap between genotypes and phenotypes. Despite the increasing popularity of EWAS, very few tools exist to aid researchers in power estimation and those are limited to case-control studies. The existence of user-friendly tools, expanding power calculation functionality to additional study designs, would be a significant aid to researchers planning EWAS.

Results

We introduce EpipwR, an open-source R-package that can efficiently estimate power for EWAS with continuous or binary outcomes. EpipwR uses a quasi-simulated approach, meaning that data is generated only for CpG sites with methylation associated with the o

SUBMITTER: Barth J 

PROVIDER: S-EPMC12303865 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature