Compara mètodes
Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.
| Epigenoma-Wide Association Study (EWAS) basat en xarxes (Network EWAS)× | Estudi d'Associació a Escala d'Epigenoma (EWAS)× | |
|---|---|---|
| Camp | Bioinformàtica | Bioinformàtica |
| Família | Process / pipeline | Process / pipeline |
| Any d'origen≠ | 2010s, consolidating 2012–2018 | 2008–2011 (term and framework established c. 2011) |
| Autor original≠ | Adapted 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 |
| Tipus≠ | Integrative epigenomic analysis | Population-scale epigenomic association study |
| Font seminal | 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. 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 ↗ |
| Àlies | network EWAS, network-integrated EWAS, graph-based EWAS, network-based DNA methylation analysis | EWAS, methylome-wide association study, epigenetic association study, DNA methylation association study |
| Relacionats≠ | 6 | 5 |
| Resum≠ | Network-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. |
| ScholarGateConjunt de dades ↗ |
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