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Síťově orientovaná epigenomově-asociační studie (Network EWAS)×Celogenomová asociační studie epigenomu (EWAS)×
OborBioinformatikaBioinformatika
RodinaProcess / pipelineProcess / pipeline
Rok vzniku2010s, consolidating 2012–20182008–2011 (term and framework established c. 2011)
TvůrceAdapted from EWAS (Rakyan et al., 2011) and network-based genomic methods (e.g., Ideker & Sharan, 2008)Rakyan, Down, Balding & Beck (conceptual framework); Illumina arrays enabled large-scale application
TypIntegrative epigenomic 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 názvynetwork EWAS, network-integrated EWAS, graph-based EWAS, network-based DNA methylation analysisEWAS, methylome-wide association study, epigenetic association study, DNA methylation association study
Příbuzné65
ShrnutíNetwork-based EWAS extends conventional epigenome-wide association studies by overlaying differentially methylated positions or regions onto biological interaction networks — such as protein-protein interaction, co-expression, or gene regulatory networks — to identify functionally coherent epigenetic modules rather than isolated CpG hits. This integration increases statistical power for detecting weak signals and reveals coordinated epigenetic dysregulation across pathways.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: Network-based epigenome-wide association study · Epigenome-wide association study. Získáno 2026-06-18 z https://scholargate.app/cs/compare