Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Multi-Omics Epigenome-Wide Association Study× | Celogenomová asociační studie epigenomu (EWAS)× | |
|---|---|---|
| Obor | Bioinformatika | Bioinformatika |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 2011 (EWAS foundation); multi-omics integration ~2015–2020 | 2008–2011 (term and framework established c. 2011) |
| Tvůrce≠ | Rakyan, Down, Balding & Beck (EWAS framework); multi-omics integration extended by multiple groups (~2015–2020) | Rakyan, Down, Balding & Beck (conceptual framework); Illumina arrays enabled large-scale application |
| Typ≠ | Integrative association study | Population-scale epigenomic association study |
| Původní zdroj | 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 ↗ | 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 názvy | multi-omics EWAS, integrative EWAS, multi-layer epigenome-wide association, multi-omics epigenomic integration | EWAS, methylome-wide association study, epigenetic association study, DNA methylation association study |
| Příbuzné≠ | 4 | 5 |
| Shrnutí≠ | A multi-omics epigenome-wide association study (multi-omics EWAS) systematically scans the entire epigenome — typically DNA methylation at CpG sites — for associations with a phenotype of interest, then integrates findings across additional omics layers such as transcriptomics, genomics, proteomics, or metabolomics. By linking epigenetic variation to molecular changes at multiple biological levels simultaneously, this approach identifies regulatory mechanisms and biomarkers that single-omics EWAS cannot resolve. | 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. |
| ScholarGateDatová sada ↗ |
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