विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| मल्टी-ओमिक्स एपिजेनोम-वाइड एसोसिएशन स्टडी (multi-omics EWAS)× | eQTL विश्लेषण× | |
|---|---|---|
| क्षेत्र | जैव सूचना विज्ञान | जैव सूचना विज्ञान |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 2011 (EWAS foundation); multi-omics integration ~2015–2020 | 2001 (term coined); widely adopted after 2005 |
| प्रवर्तक≠ | Rakyan, Down, Balding & Beck (EWAS framework); multi-omics integration extended by multiple groups (~2015–2020) | Ritsert C. Jansen & Jan-Peter Nap |
| प्रकार≠ | Integrative association study | Association mapping method |
| मौलिक स्रोत≠ | 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 ↗ | Jansen, R. C., & Nap, J.-P. (2001). Genetical genomics: the added value from segregation. Trends in Genetics, 17(7), 388–391. DOI ↗ |
| उपनाम | multi-omics EWAS, integrative EWAS, multi-layer epigenome-wide association, multi-omics epigenomic integration | eQTL mapping, expression QTL analysis, transcriptomic QTL analysis, eQTL study |
| संबंधित≠ | 4 | 6 |
| सारांश≠ | 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. | eQTL analysis identifies genomic loci (variants, typically SNPs) whose genotype statistically associates with variation in the expression level of one or more genes. By jointly profiling DNA-level variation and RNA-level expression in the same individuals, eQTL studies decode the regulatory grammar of the genome — revealing which variants control how much a gene is transcribed, in which tissues, and under what conditions. |
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