Process / pipelineBioinformatics / omics

Time-series eQTL Analysis — Dynamic Genetic Regulation of Gene Expression

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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Sources

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

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Referenced by

ScholarGateTime-series eQTL analysis (Time-series Expression Quantitative Trait Loci Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/bioinformatics/time-series-eqtl-analysis