ScholarGate
Assistent

Sammenlign metoder

Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.

Epigenom-vid assosiasjonsstudie (EWAS)×eQTL-analyse×
FagfeltBioinformatikkBioinformatikk
FamilieProcess / pipelineProcess / pipeline
Opprinnelsesår2008–2011 (term and framework established c. 2011)2001 (term coined); widely adopted after 2005
OpphavspersonRakyan, Down, Balding & Beck (conceptual framework); Illumina arrays enabled large-scale applicationRitsert C. Jansen & Jan-Peter Nap
TypePopulation-scale epigenomic association studyAssociation mapping method
Opprinnelig kildeRakyan, 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 ↗
AliasEWAS, methylome-wide association study, epigenetic association study, DNA methylation association studyeQTL mapping, expression QTL analysis, transcriptomic QTL analysis, eQTL study
Relaterte56
SammendragAn 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.
ScholarGateDatasett
  1. v1
  2. 2 Kilder
  3. PUBLISHED
  1. v1
  2. 2 Kilder
  3. PUBLISHED

Gå til søk Last ned lysbilder

ScholarGateSammenlign metoder: Epigenome-wide association study · eQTL Analysis. Hentet 2026-06-18 fra https://scholargate.app/no/compare