পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| নেটওয়ার্ক-ভিত্তিক এপিজিনোম-ওয়াইড অ্যাসোসিয়েশন স্টাডি (Network EWAS)× | এপিজিনোম-ওয়াইড অ্যাসোসিয়েশন স্টাডি (EWAS)× | |
|---|---|---|
| ক্ষেত্র | জৈব তথ্যবিজ্ঞান | জৈব তথ্যবিজ্ঞান |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 2010s, consolidating 2012–2018 | 2008–2011 (term and framework established c. 2011) |
| প্রবর্তক≠ | 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 |
| ধরন≠ | Integrative epigenomic analysis | Population-scale epigenomic association study |
| মৌলিক উৎস | 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 ↗ |
| অপর নাম | 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 |
| সম্পর্কিত≠ | 6 | 5 |
| সারসংক্ষেপ≠ | 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. |
| ScholarGateডেটাসেট ↗ |
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