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| 시간 계열 eQTL 분석× | 매개 분석× | |
|---|---|---|
| 분야≠ | 생물정보학 | 통계학 |
| 계열≠ | Process / pipeline | Hypothesis test |
| 기원 연도≠ | 2010s–2019 (concept established earlier; dynamic framework formalized ~2019) | 1986 |
| 창시자≠ | Multiple groups; formalized by Strober et al. and others in the context of cellular differentiation (2019) | Baron & Kenny |
| 유형≠ | Genetic mapping method | Indirect effects / path test |
| 원전≠ | Fair, B. J., et al. (2020). Gene expression variability in human and chimpanzee populations share common determinants. eLife, 9, e59929. link ↗ | Baron, R. M. & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research. Journal of Personality and Social Psychology, 51(6), 1173–1182. link ↗ |
| 별칭 | dynamic eQTL analysis, longitudinal eQTL mapping, ts-eQTL, temporal eQTL | indirect effects analysis, path-based mediation, PROCESS macro mediation, Aracılık Analizi (Mediation / PROCESS) |
| 관련≠ | 2 | 5 |
| 요약≠ | Time-series eQTL analysis identifies genetic variants (eQTLs) whose effect on gene expression changes over time or across developmental stages. By combining longitudinal RNA-seq data with individual genotypes, the method captures how the same SNP can activate, silence, or reshape gene regulation at different time points — revealing the temporal architecture of the genome's regulatory program in processes such as differentiation, disease progression, and environmental response. | Mediation analysis is a statistical procedure that tests whether the effect of an independent variable X on an outcome Y operates wholly or partly through a third variable M, called the mediator. Formalised by Baron and Kenny in 1986, it decomposes the total effect of X on Y into a direct path (c′) and an indirect path (a × b), quantifying how much of the relationship is carried by the mediating mechanism. |
| ScholarGate데이터셋 ↗ |
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