Time-series eQTL analysis
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.
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- Fair, B. J., et al. (2020). Gene expression variability in human and chimpanzee populations share common determinants. eLife, 9, e59929. · URL
- Strober, B. J., et al. (2019). Dynamic genetic regulation of gene expression during cellular differentiation. Science, 364(6447), 1287–1290. · URL
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