Process / pipelineBioinformatics / omics

Multi-omics eQTL Analysis — Integrative Expression Quantitative Trait Loci Mapping

Multi-omics eQTL analysis maps genetic variants (SNPs or structural variants) to molecular phenotypes simultaneously across multiple omics layers — transcriptome, epigenome, proteome, and metabolome — in the same cohort. By linking genotype to gene expression and then tracing those effects through downstream molecular layers, the approach reveals how genetic variation propagates through the molecular machinery of a cell, yielding mechanistic insight that no single-omics eQTL study can provide.

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Sources

  1. GTEx Consortium. (2017). Genetic effects on gene expression across human tissues. Nature, 550(7675), 204–213. link
  2. Bossini-Castillo, L., et al. (2019). Multi-omics data integration reveals molecular mechanisms of complex disease. Nucleic Acids Research, 47(18), 9373–9390. link

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Referenced by

ScholarGateMulti-omics eQTL analysis (Multi-omics Expression Quantitative Trait Loci Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/bioinformatics/multi-omics-eqtl-analysis