Updates to data versions and analytic methods influence the reproducibility of results from epigenome-wide association studies.

ABSTRACT: Biomedical research has grown increasingly cooperative through the sharing of consortia-level epigenetic data. Since consortia preprocess data prior to distribution, new processing pipelines can lead to different versions of the same dataset. Similarly, analytic frameworks evolve to incorporate cutting-edge methods and best practices. However, it remains unknown how different data and analytic versions alter the results of epigenome-wide analyses, which could influence the replicability of epigenetic associations. Thus, we assessed the impact of these changes using data from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort. We analysed DNA methylation from two data versions, processed using separate preprocessing and analytic pipelines, examining associations between sev

SUBMITTER: Lussier AA 

PROVIDER: S-EPMC9601563 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature