Process / pipelineBioinformatics / omics
多组学eQTL分析 — 整合表达数量性状基因座定位
多组学eQTL分析在同一队列中，跨越多个组学层（转录组、表观基因组、蛋白质组和代谢组），同时将遗传变异（SNP或结构变异）定位到分子表型。通过将基因型与基因表达联系起来，然后追踪这些效应通过下游分子层的作用，该方法揭示了遗传变异如何通过细胞的分子机制传播，从而提供单一组学eQTL研究无法提供的机制性见解。
Method map
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来源
- GTEx Consortium. (2017). Genetic effects on gene expression across human tissues. Nature, 550(7675), 204–213. link ↗
- Bossini-Castillo, L., et al. (2019). Multi-omics data integration reveals molecular mechanisms of complex disease. Nucleic Acids Research, 47(18), 9373–9390. link ↗
如何引用本页
ScholarGate. (2026, June 3). Multi-omics Expression Quantitative Trait Loci Analysis. ScholarGate. https://scholargate.app/zh/bioinformatics/multi-omics-eqtl-analysis
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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