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

ABSTRACT: In recent decades, many genome-wide association studies on insomnia have reported numerous genes harboring multiple risk variants. Nevertheless, the molecular functions of these risk variants conveying risk to insomnia are still ill-studied. In the present study, we integrated GWAS summary statistics (N=386,533) with two independent brain expression quantitative trait loci (eQTL) datasets (N=329) to determine whether expression-associated SNPs convey risk to insomnia. Furthermore, we applied numerous bioinformatics analyses to highlight promising genes associated with insomnia risk. By using Sherlock integrative analysis, we detected 449 significant insomnia-associated genes in the discovery stage. These identified genes were significantly overrepresented in six biological pathways includi

SUBMITTER: Sun H 

PROVIDER: S-EPMC7468094 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature