So sánh phương pháp

	Phân tích Biến thể Số lượng Bản sao	Epigenome-wide association study
Lĩnh vực	Tin sinh học	Tin sinh học
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1998–2006	2008–2011 (term and framework established c. 2011)
Người khởi xướng	Pinkel et al. (array CGH); Redon et al. (genome-wide CNV map)	Rakyan, Down, Balding & Beck (conceptual framework); Illumina arrays enabled large-scale application
Loại	Genomic structural variant detection pipeline	Population-scale epigenomic association study
Công trình gốc	Redon, R., Ishikawa, S., Fitch, K. R., et al. (2006). Global variation in copy number in the human genome. Nature, 444(7118), 444–454.	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.
Tên gọi khác	CNV analysis, copy number variant detection, CNV calling, somatic copy number alteration analysis	EWAS, methylome-wide association study, epigenetic association study, DNA methylation association study
Liên quan	6	5
Tóm tắt	Copy number variation (CNV) analysis is a genomic pipeline for detecting regions where individuals carry fewer or more copies of a DNA segment than the reference genome. CNVs span kilobases to megabases and are a major class of structural variation implicated in cancer, neurodevelopmental disorders, and population diversity. The pipeline typically processes SNP array intensities or read-depth signals from whole-genome sequencing, applies segmentation algorithms, calls gain and loss events, and annotates them against gene and clinical databases.	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.