手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| エピゲノムワイド関連解析（EWAS）× | eQTL解析× | |
|---|---|---|
| 分野 | バイオインフォマティクス | バイオインフォマティクス |
| 系統 | Process / pipeline | Process / pipeline |
| 提唱年≠ | 2008–2011 (term and framework established c. 2011) | 2001 (term coined); widely adopted after 2005 |
| 提唱者≠ | Rakyan, Down, Balding & Beck (conceptual framework); Illumina arrays enabled large-scale application | Ritsert C. Jansen & Jan-Peter Nap |
| 種類≠ | Population-scale epigenomic association study | Association mapping method |
| 原典≠ | 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 ↗ |
| 別名 | EWAS, methylome-wide association study, epigenetic association study, DNA methylation association study | eQTL mapping, expression QTL analysis, transcriptomic QTL analysis, eQTL study |
| 関連≠ | 5 | 6 |
| 概要≠ | 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. | 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. |
| ScholarGateデータセット ↗ |
|
|