Multi-omics eQTL analysis
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.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- GTEx Consortium. (2017). Genetic effects on gene expression across human tissues. Nature, 550(7675), 204–213. · URL
- Bossini-Castillo, L., et al. (2019). Multi-omics data integration reveals molecular mechanisms of complex disease. Nucleic Acids Research, 47(18), 9373–9390. · URL
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