방법 비교

	단일 세포 후성유전체 연관성 연구(scEWAS)	전장 후성유전체 연관 분석 (EWAS)
분야	생물정보학	생물정보학
계열	Process / pipeline	Process / pipeline
기원 연도	2015–2020 (methodology consolidation period)	2008–2011 (term and framework established c. 2011)
창시자	Developed through convergence of EWAS methodology (Rakyan et al., 2011) and single-cell epigenomics (Buenrostro et al., 2015)	Rakyan, Down, Balding & Beck (conceptual framework); Illumina arrays enabled large-scale application
유형	Computational genomics pipeline	Population-scale epigenomic association study
원전	Zhang, Y., et al. (2022). Single-cell epigenome analysis reveals age-associated decay of heterochromatin domains in excitatory neurons in the mouse brain. Cell Research, 32(1), 1-18.	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.
별칭	scEWAS, single-cell EWAS, sc-epigenome association study, single-cell chromatin accessibility EWAS	EWAS, methylome-wide association study, epigenetic association study, DNA methylation association study
관련	1	5
요약	A single-cell epigenome-wide association study (scEWAS) interrogates epigenetic marks — primarily DNA methylation or chromatin accessibility — across the entire genome at single-cell resolution, then statistically associates variation in those marks with a phenotype, disease, or exposure. By resolving cell-type heterogeneity that bulk EWAS cannot separate, scEWAS identifies epigenetic signals that are specific to rare or intermixed cell populations rather than averaged across tissues.	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.