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Badanie asocjacyjne epigenomu (EWAS)×Analiza eQTL×
DziedzinaBioinformatykaBioinformatyka
RodzinaProcess / pipelineProcess / pipeline
Rok powstania2008–2011 (term and framework established c. 2011)2001 (term coined); widely adopted after 2005
TwórcaRakyan, Down, Balding & Beck (conceptual framework); Illumina arrays enabled large-scale applicationRitsert C. Jansen & Jan-Peter Nap
TypPopulation-scale epigenomic association studyAssociation mapping method
Źródło pierwotneRakyan, 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 ↗Jansen, R. C., & Nap, J.-P. (2001). Genetical genomics: the added value from segregation. Trends in Genetics, 17(7), 388–391. DOI ↗
Inne nazwyEWAS, methylome-wide association study, epigenetic association study, DNA methylation association studyeQTL mapping, expression QTL analysis, transcriptomic QTL analysis, eQTL study
Pokrewne56
PodsumowanieAn 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.
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ScholarGatePorównaj metody: Epigenome-wide association study · eQTL Analysis. Pobrano 2026-06-18 z https://scholargate.app/pl/compare