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Network-based epigenome-wide association study×Epigenomu plaša asociācijas pētījums (EWAS)×
NozareBioinformātikaBioinformātika
SaimeProcess / pipelineProcess / pipeline
Izcelsmes gads2010s, consolidating 2012–20182008–2011 (term and framework established c. 2011)
AutorsAdapted 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
TipsIntegrative epigenomic analysisPopulation-scale epigenomic association study
PirmavotsRakyan, 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 ↗
Citi nosaukuminetwork EWAS, network-integrated EWAS, graph-based EWAS, network-based DNA methylation analysisEWAS, methylome-wide association study, epigenetic association study, DNA methylation association study
Saistītās65
KopsavilkumsNetwork-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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ScholarGateSalīdzināt metodes: Network-based epigenome-wide association study · Epigenome-wide association study. Izgūts 2026-06-19 no https://scholargate.app/lv/compare