Process / pipelineBioinformatics / omics

Multi-Omics Epigenome-Wide Association Study

A multi-omics epigenome-wide association study (multi-omics EWAS) systematically scans the entire epigenome — typically DNA methylation at CpG sites — for associations with a phenotype of interest, then integrates findings across additional omics layers such as transcriptomics, genomics, proteomics, or metabolomics. By linking epigenetic variation to molecular changes at multiple biological levels simultaneously, this approach identifies regulatory mechanisms and biomarkers that single-omics EWAS cannot resolve.

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Sources

  1. Rakyan, V. K., Down, T. A., Balding, D. J., & Beck, S. (2011). Epigenome-wide association studies for common human diseases. Nature Reviews Genetics, 12(8), 529–541. DOI: 10.1038/nrg3000
  2. Hawe, J. S., Theis, F. J., & Heinig, M. (2019). Inferring interaction networks from multi-omics data. Frontiers in Genetics, 10, 535. link

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ScholarGateMulti-omics epigenome-wide association study (Multi-Omics Epigenome-Wide Association Study). Retrieved 2026-06-04 from https://scholargate.app/en/bioinformatics/multi-omics-epigenome-wide-association-study