Critical reasoning on the co-expression module QTL in the dorsolateral prefrontal cortex

HGG Adv. 2024 Jul 18;5(3):100311. doi: 10.1016/j.xhgg.2024.100311. Epub 2024 May 21.

Abstract

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.

Keywords: brain; co-expression; eQTL; frontal cortex; gene expression.

MeSH terms

  • Dorsolateral Prefrontal Cortex* / metabolism
  • Gene Expression Profiling / methods
  • Gene Expression Regulation / genetics
  • Gene Regulatory Networks / genetics
  • Genome-Wide Association Study*
  • Genotype
  • Humans
  • Polymorphism, Single Nucleotide / genetics
  • Prefrontal Cortex / metabolism
  • Quantitative Trait Loci* / genetics