Integrative genomics analysis identifies five promising genes implicated in insomnia risk based on multiple omics...

Area of Science:

• Genetics
• Neuroscience
• Molecular Biology

Background:

• Genome-wide association studies (GWAS) have identified numerous genes linked to insomnia risk, but the functional impact of these variants remains poorly understood.
• Understanding the molecular mechanisms underlying insomnia is crucial for developing effective therapeutic strategies.

Purpose of the Study:

• To investigate whether single nucleotide polymorphisms (SNPs) associated with gene expression in the brain contribute to insomnia risk.
• To identify novel genes and biological pathways implicated in the etiology of insomnia using integrative bioinformatics analyses.

Main Methods:

• Integrated GWAS summary statistics with brain expression quantitative trait loci (eQTL) datasets.
• Applied Sherlock integrative analysis to identify insomnia-associated genes.
• Utilized pathway enrichment, protein-protein interaction (PPI) network analysis, and differential gene expression analysis.
• Examined gene expression dynamics in mouse models of sleep and sleep deprivation.

Main Results:

• Identified 449 significant insomnia-associated genes, enriched in pathways including neurodegenerative diseases, spliceosome, oxidative phosphorylation, and Wnt signaling.
• Replicated five candidate genes using an independent brain eQTL dataset, revealing significant functional interactions.
• Found significantly lower expression of LDHA, DALRD3, and HEBP2 in brain tissues of individuals with insomnia compared to controls.
• Observed dynamic expression changes of these five genes in mouse brains during sleep and sleep deprivation.

Conclusions:

• The identified five genes (LDHA, DALRD3, HEBP2, and two others) are proposed as candidate genes contributing to insomnia risk.
• These genes may play a role in the molecular pathways underlying insomnia, warranting further investigation.
• The findings provide new insights into the genetic architecture and molecular basis of insomnia.