Process / pipelineBioinformatics / omics
Epigenome-Wide Association Study (EWAS)
An epigenome-wide association study (EWAS) is a hypothesis-free, genome-scale method that systematically tests whether epigenetic marks — predominantly CpG-site DNA methylation — differ between individuals with and without a trait, disease, or exposure. By scanning hundreds of thousands of genomic positions simultaneously, EWAS identifies loci where the epigenome is reproducibly associated with a phenotype, offering a layer of biological regulation that classical GWAS does not capture.
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Sources
- 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 ↗
- Pidsley, R., Zotenko, E., Peters, T. J., Lawrence, M. G., Risbridger, G. P., Molloy, P., Van Djik, S., Muhlhausler, B., Stirzaker, C., & Clark, S. J. (2016). Critical evaluation of the Illumina MethylationEPIC BeadChip microarray for whole-genome DNA methylation profiling. Genome Biology, 17(1), 208. DOI: 10.1186/s13059-016-1066-1 ↗
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Referenced by
Bayesian ChIP-seq peak callingBayesian epigenome-wide association studyChIP-seq Peak CallingCopy Number Variation AnalysisDifferential ChIP-seq peak callingDifferential Epigenome-Wide Association StudyGenome-wide association studyMachine learning-assisted ChIP-seq peak callingMulti-omics epigenome-wide association studyNetwork-based epigenome-wide association studySingle-cell ChIP-seq peak callingSingle-cell epigenome-wide association studyTime-series ChIP-seq peak callingTime-series Epigenome-wide Association StudyVariant Calling