Process / pipelineBioinformatics / omics
eQTL Analysis — Expression Quantitative Trait Loci Analysis
eQTL analysis identifies genomic loci (variants, typically SNPs) whose genotype statistically associates with variation in the expression level of one or more genes. By jointly profiling DNA-level variation and RNA-level expression in the same individuals, eQTL studies decode the regulatory grammar of the genome — revealing which variants control how much a gene is transcribed, in which tissues, and under what conditions.
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Sources
- Jansen, R. C., & Nap, J.-P. (2001). Genetical genomics: the added value from segregation. Trends in Genetics, 17(7), 388–391. DOI: 10.1016/S0168-9525(01)02310-1 ↗
- GTEx Consortium (2020). The GTEx Consortium atlas of genetic regulatory effects across human tissues. Science, 369(6509), 1318–1330. DOI: 10.1126/science.aaz1776 ↗
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Referenced by
Bayesian eQTL analysisBayesian Pathway Enrichment AnalysisDifferential eQTL AnalysisEpigenome-wide association studyGenome-wide association studyMachine learning-assisted expression quantitative trait loci analysisMetabolomics analysisMulti-omics epigenome-wide association studyMulti-omics eQTL analysisNetwork-based eQTL analysisNetwork-based GWASPhylogenetic AnalysisSingle-cell eQTL analysisSingle-cell GWASTime-series single-cell RNA-seq analysis