Process / pipelineBioinformatics / omics

Network-based Epigenome-Wide Association Study (Network EWAS)

Network-based EWAS extends conventional epigenome-wide association studies by overlaying differentially methylated positions or regions onto biological interaction networks — such as protein-protein interaction, co-expression, or gene regulatory networks — to identify functionally coherent epigenetic modules rather than isolated CpG hits. This integration increases statistical power for detecting weak signals and reveals coordinated epigenetic dysregulation across pathways.

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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. link
  2. Wang, S., Huang, M., Liu, C., Ma, J., & Deng, M. (2017). Network-based methods for identifying disease-related loci and epigenetic biomarkers. Briefings in Bioinformatics, 18(6), 957–968. link

Related methods

ScholarGateNetwork-based epigenome-wide association study (Network-based Epigenome-Wide Association Study). Retrieved 2026-06-04 from https://scholargate.app/en/bioinformatics/network-based-epigenome-wide-association-study