Identifying potential risk genes and pathways for neuropsychiatric and substance use disorders using intermediate molecular mediator information
Affiliation
College of Medicine, University of Arizona-Phoenix,Issue Date
2023-06-20
Metadata
Show full item recordPublisher
Frontiers Media SACitation
Gedik H, Nguyen TH, Peterson RE, Chatzinakos C, Vladimirov VI, Riley BP and Bacanu S-A (2023) Identifying potential risk genes and pathways for neuropsychiatric and substance use disorders using intermediate molecular mediator information. Front. Genet. 14:1191264. doi: 10.3389/fgene.2023.1191264Journal
Frontiers in GeneticsRights
© 2023 Gedik, Nguyen, Peterson, Chatzinakos, Vladimirov, Riley and Bacanu. This is an open-access article distributed under the terms of the Creative Commons Attribution License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Neuropsychiatric and substance use disorders (NPSUDs) have a complex etiology that includes environmental and polygenic risk factors with significant cross-trait genetic correlations. Genome-wide association studies (GWAS) of NPSUDs yield numerous association signals. However, for most of these regions, we do not yet have a firm understanding of either the specific risk variants or the effects of these variants. Post-GWAS methods allow researchers to use GWAS summary statistics and molecular mediators (transcript, protein, and methylation abundances) infer the effect of these mediators on risk for disorders. One group of post-GWAS approaches is commonly referred to as transcriptome/proteome/methylome-wide association studies, which are abbreviated as T/P/MWAS (or collectively as XWAS). Since these approaches use biological mediators, the multiple testing burden is reduced to the number of genes (∼20,000) instead of millions of GWAS SNPs, which leads to increased signal detection. In this work, our aim is to uncover likely risk genes for NPSUDs by performing XWAS analyses in two tissues—blood and brain. First, to identify putative causal risk genes, we performed an XWAS using the Summary-data-based Mendelian randomization, which uses GWAS summary statistics, reference xQTL data, and a reference LD panel. Second, given the large comorbidities among NPSUDs and the shared cis-xQTLs between blood and the brain, we improved XWAS signal detection for underpowered analyses by performing joint concordance analyses between XWAS results i) across the two tissues and ii) across NPSUDs. All XWAS signals i) were adjusted for heterogeneity in dependent instruments (HEIDI) (non-causality) p-values and ii) used to test for pathway enrichment. The results suggest that there were widely shared gene/protein signals within the major histocompatibility complex region on chromosome 6 (BTN3A2 and C4A) and elsewhere in the genome (FURIN, NEK4, RERE, and ZDHHC5). The identification of putative molecular genes and pathways underlying risk may offer new targets for therapeutic development. Our study revealed an enrichment of XWAS signals in vitamin D and omega-3 gene sets. So, including vitamin D and omega-3 in treatment plans may have a modest but beneficial effect on patients with bipolar disorder. Copyright © 2023 Gedik, Nguyen, Peterson, Chatzinakos, Vladimirov, Riley and Bacanu.Note
Open access journalISSN
1664-8021Version
Final Published Versionae974a485f413a2113503eed53cd6c53
10.3389/fgene.2023.1191264
Scopus Count
Collections
Except where otherwise noted, this item's license is described as © 2023 Gedik, Nguyen, Peterson, Chatzinakos, Vladimirov, Riley and Bacanu. This is an open-access article distributed under the terms of the Creative Commons Attribution License.

