Oct 26, 2018

ebayGSEA: An improved Gene Set Enrichment Analysis method for Epigenome-Wide-Association Studies

BioRxiv : the Preprint Server for Biology
Danyue DongAndrew Teschendorff

Abstract

Motivation: The biological interpretation of differentially methylated sites derived from Epigenome-Wide-Association Studies remains a significant challenge. Gene Set Enrichment Analysis (GSEA) is a general tool to help aid biological interpretation, yet its correct and unbiased implementation in the EWAS context is difficult due to the differential probe representation of Illumina Infinium DNA methylation beadchips. Results: We present a novel GSEA method, called ebayGSEA, which ranks genes, not CpGs, according to the overall level of differential methylation, as assessed using all the probes mapping to the given gene. Applied on simulated and real EWAS data, we show how ebayGSEA may exhibit higher sensitivity and specificity than the current state-of-the-art, whilst also avoiding differential probe representation bias. Thus, ebayGSEA will be a useful additional tool to aid the interpretation of EWAS data. Availability and implementation: ebayGSEA is available from {https://github.com/aet21/ebayGSEA}, and has been incorporated into the ChAMP Bioconductor package ( https://www.bioconductor.org).

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Mentioned in this Paper

Genome-Wide Association Study
DNA Methylation [PE]
Mov10l1 protein, mouse
Protein Methylation
Genes
Methylate
DNA Methylation
Site
Methylation
Simulation

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