Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
HGG Adv. 2024 Jul 18;5(3):100311. doi: 10.1016/j.xhgg.2024.100311. Epub 2024 May 21.
Expression quantitative trait locus (eQTL) analysis is a popular method of gaining insight into the function of regulatory variation. While cis-eQTL resources have been instrumental in linking genome-wide association study variants to gene function, complex trait heritability may be additionally mediated by other forms of gene regulation. Toward this end, novel eQTL methods leverage gene co-expression (module-QTL) to investigate joint regulation of gene modules by single genetic variants. Here we broadly define a "module-QTL" as the association of a genetic variant with a summary measure of gene co-expression. This approach aims to reduce the multiple testing burden of a trans-eQTL search through the consolidation of gene-based testing and provide biological context to eQTLs shared between genes. In this article we provide an in-depth examination of the co-expression module eQTL (module-QTL) through literature review, theoretical investigation, and real-data application of the module-QTL to three large prefrontal cortex genotype-RNA sequencing datasets. We find module-QTLs in our study that are disease associated and reproducible are not additionally informative beyond cis- or trans-eQTLs for module genes. Through comparison to prior studies, we highlight promises and limitations of the module-QTL across study designs and provide recommendations for further investigation of the module-QTL framework.
表达数量性状基因座(eQTL)分析是深入了解调控变异功能的一种常用方法。虽然顺式 eQTL 资源在将全基因组关联研究变体与基因功能联系起来方面发挥了重要作用,但复杂性状的遗传可能还受到其他形式的基因调控的影响。为此,新型 eQTL 方法利用基因共表达(模块-QTL)来研究单个遗传变异对基因模块的联合调控。在这里,我们将“模块-QTL”广义地定义为遗传变异与基因共表达综合度量之间的关联。这种方法旨在通过基因测试的整合来减少跨 eQTL 搜索的多重检验负担,并为基因之间共享的 eQTL 提供生物学背景。在本文中,我们通过文献综述、理论研究以及模块-QTL 在三个大型前额叶皮层基因型 RNA 测序数据集上的实际应用,对共表达模块 eQTL(模块-QTL)进行了深入的研究。我们发现,在我们的研究中,与疾病相关且可重现的模块-QTL 对于模块基因的顺式或跨式 eQTL 并没有额外的信息。通过与先前的研究进行比较,我们突出了模块-QTL 在不同研究设计中的优点和局限性,并为进一步研究模块-QTL 框架提供了建议。