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| Epigenome-wide association study in educational research× | Τυχαιοποίηση κατά Μεντέλ× | |
|---|---|---|
| Πεδίο≠ | Βιοπληροφορική | Αιτιακή Συμπερασματολογία |
| Οικογένεια≠ | Process / pipeline | Regression model |
| Έτος προέλευσης≠ | EWAS framework ~2011; educational applications ~2017–present | 1997 |
| Δημιουργός≠ | Rakyan, Down, Balding, and Beck (framework); applied to educational outcomes by Marioni, McCartney, and collaborators | George Davey Smith |
| Τύπος≠ | Observational epigenomic association design | Genetic instrumental variable framework |
| Θεμελιώδης πηγή≠ | 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 ↗ |
| Εναλλακτικές ονομασίες≠ | EWAS of educational attainment, educational EWAS, epigenetic association study, EWAS | MR |
| Συναφείς≠ | 3 | 2 |
| Σύνοψη≠ | 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. |
| ScholarGateΣύνολο δεδομένων ↗ |
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