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Diferenciální epigenom-široká asociační studie×Celogenomová asociační studie epigenomu (EWAS)×
OborBioinformatikaBioinformatika
RodinaProcess / pipelineProcess / pipeline
Rok vzniku2009–20112008–2011 (term and framework established c. 2011)
TvůrceRakyan, Down, Balding & Beck (2011); Irizarry group for differential methylation methods (~2009–2014)Rakyan, Down, Balding & Beck (conceptual framework); Illumina arrays enabled large-scale application
TypComparative epigenome-wide analysisPopulation-scale epigenomic association study
Původní zdrojRakyan, 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. link ↗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. DOI ↗
Další názvyDifferential EWAS, comparative EWAS, epigenome-wide differential methylation analysis, EWAS differential designEWAS, methylome-wide association study, epigenetic association study, DNA methylation association study
Příbuzné65
ShrnutíA Differential Epigenome-Wide Association Study (Differential EWAS) scans hundreds of thousands of CpG methylation sites across the genome to identify those whose methylation levels differ significantly between two or more comparison groups — such as cases vs. controls, exposed vs. unexposed, or distinct developmental stages. It is the standard epigenomic analogue of a differential expression analysis but operates at the level of DNA methylation marks rather than RNA counts.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.
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ScholarGatePorovnat metody: Differential Epigenome-Wide Association Study · Epigenome-wide association study. Získáno 2026-06-19 z https://scholargate.app/cs/compare