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| 教育研究におけるエピゲノムワイド関連解析× | メンデルランダム化× | |
|---|---|---|
| 分野≠ | バイオインフォマティクス | 因果推論 |
| 系統≠ | Process / pipeline | Regression model |
| 提唱年≠ | EWAS framework ~2011; educational applications ~2017–present | 1997 |
| 提唱者≠ | Rakyan, Down, Balding, and Beck (framework); applied to educational outcomes by Marioni, McCartney, and collaborators | George Davey Smith |
| 種類≠ | Observational epigenomic association design | Genetic instrumental variable framework |
| 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 ↗ | Davey Smith, G., & Hemani, G. (2014). Mendelian randomization: genetic anchors for causal inference in epidemiological studies. Human Molecular Genetics, 23(R1), R89-R98. DOI ↗ |
| 別名≠ | EWAS of educational attainment, educational EWAS, epigenetic association study, EWAS | MR |
| 関連≠ | 3 | 2 |
| 概要≠ | An epigenome-wide association study (EWAS) applied to educational research scans DNA methylation levels at hundreds of thousands of CpG sites across the genome to identify loci whose methylation is statistically associated with educational attainment, cognitive ability, or related learning outcomes. By linking blood- or saliva-derived methylation profiles with school records or psychometric scores, EWAS offers a molecular window into how biological and environmental exposures may shape educationally relevant traits across the lifespan. | Mendelian randomization is a method for estimating causal effects of exposures on outcomes using genetic variants as instrumental variables. Introduced by George Davey Smith in the 1990s, it exploits Mendel's law of segregation to remove confounding bias. It has become a cornerstone technique in epidemiological causal inference. |
| ScholarGateデータセット ↗ |
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