Comparer des méthodes

	Étude d'association pangénomique épigénétique (EWAS)	Analyse des QTL d'expression
Domaine	Bio-informatique	Bio-informatique
Famille	Process / pipeline	Process / pipeline
Année d'origine	2008–2011 (term and framework established c. 2011)	2001 (term coined); widely adopted after 2005
Auteur d'origine	Rakyan, Down, Balding & Beck (conceptual framework); Illumina arrays enabled large-scale application	Ritsert C. Jansen & Jan-Peter Nap
Type	Population-scale epigenomic association study	Association mapping method
Source fondatrice	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.	Jansen, R. C., & Nap, J.-P. (2001). Genetical genomics: the added value from segregation. Trends in Genetics, 17(7), 388–391.
Alias	EWAS, methylome-wide association study, epigenetic association study, DNA methylation association study	eQTL mapping, expression QTL analysis, transcriptomic QTL analysis, eQTL study
Apparentées	5	6
Résumé	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.	eQTL analysis identifies genomic loci (variants, typically SNPs) whose genotype statistically associates with variation in the expression level of one or more genes. By jointly profiling DNA-level variation and RNA-level expression in the same individuals, eQTL studies decode the regulatory grammar of the genome — revealing which variants control how much a gene is transcribed, in which tissues, and under what conditions.