Analysis of Shared Genetic Regulatory Networks for Alzheimer's Disease and Epilepsy

Biomed Res Int. 2021 Oct 14:2021:6692974. doi: 10.1155/2021/6692974. eCollection 2021.

Abstract

Alzheimer's disease (AD) and epilepsy are neurological disorders that affect a large cohort of people worldwide. Although both of the two diseases could be influenced by genetic factors, the shared genetic mechanism underlying the pathogenesis of them is still unclear. In this study, we aimed to identify the shared genetic networks and corresponding hub genes for AD and epilepsy. Firstly, the gene coexpression modules (GCMs) were constructed by weighted gene coexpression network analysis (WGCNA), and 16 GCMs were identified. Through further integration of GCMs, genome-wide association studies (GWASs), and expression quantitative trait loci (eQTLs), 4 shared GCMs of AD and epilepsy were identified. Functional enrichment analysis was performed to analyze the shared biological processes of these GCMs and explore the functional overlaps between these two diseases. The results showed that the genes in shared GCMs were significantly enriched in nervous system-related pathways, such as Alzheimer's disease and neuroactive ligand-receptor interaction pathways. Furthermore, the hub genes of AD- and epilepsy-associated GCMs were captured by weighted key driver analysis (wKDA), including TRPC1, C2ORF40, NR3C1, KIAA0368, MMT00043109, STEAP1, MSX1, KL, and CLIC6. The shared GCMs and hub genes might provide novel therapeutic targets for AD and epilepsy.

MeSH terms

  • Alzheimer Disease / genetics*
  • Alzheimer Disease / pathology
  • Computational Biology / methods
  • Databases, Genetic
  • Epilepsy / genetics*
  • Epilepsy / nursing
  • Epilepsy / pathology
  • Gene Expression Profiling
  • Gene Regulatory Networks
  • Genetic Predisposition to Disease
  • Genome-Wide Association Study
  • Humans
  • Protein Interaction Maps
  • Quantitative Trait Loci