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	Time-series eQTL Analysis	मध्यस्थता विश्लेषण
क्षेत्र	जैव सूचना विज्ञान	सांख्यिकी
परिवार	Process / pipeline	Hypothesis test
उद्भव वर्ष	2010s–2019 (concept established earlier; dynamic framework formalized ~2019)	1986
प्रवर्तक	Multiple groups; formalized by Strober et al. and others in the context of cellular differentiation (2019)	Baron & Kenny
प्रकार	Genetic mapping method	Indirect effects / path test
मौलिक स्रोत	Fair, B. J., et al. (2020). Gene expression variability in human and chimpanzee populations share common determinants. eLife, 9, e59929.	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.
उपनाम	dynamic eQTL analysis, longitudinal eQTL mapping, ts-eQTL, temporal eQTL	indirect effects analysis, path-based mediation, PROCESS macro mediation, Aracılık Analizi (Mediation / PROCESS)
संबंधित	2	5
सारांश	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.