השוואת שיטות

	Multi-omics epigenome-wide association study	מחקר אסוציאציות אפי-גנום-רחב (EWAS)
תחום	ביואינפורמטיקה	ביואינפורמטיקה
משפחה	Process / pipeline	Process / pipeline
שנת המקור	2011 (EWAS foundation); multi-omics integration ~2015–2020	2008–2011 (term and framework established c. 2011)
הוגה השיטה	Rakyan, Down, Balding & Beck (EWAS framework); multi-omics integration extended by multiple groups (~2015–2020)	Rakyan, Down, Balding & Beck (conceptual framework); Illumina arrays enabled large-scale application
סוג	Integrative association study	Population-scale epigenomic association study
מקור מכונן	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.	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.
כינויים	multi-omics EWAS, integrative EWAS, multi-layer epigenome-wide association, multi-omics epigenomic integration	EWAS, methylome-wide association study, epigenetic association study, DNA methylation association study
קשורות	4	5
תקציר	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.	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.