Dissecting the shared genetic landscape of anxiety, depression, and schizophrenia
- PMID: 38637810
- PMCID: PMC11025255
- DOI: 10.1186/s12967-024-05153-3
Dissecting the shared genetic landscape of anxiety, depression, and schizophrenia
Abstract
Background: Numerous studies highlight the genetic underpinnings of mental disorders comorbidity, particularly in anxiety, depression, and schizophrenia. However, their shared genetic loci are not well understood. Our study employs Mendelian randomization (MR) and colocalization analyses, alongside multi-omics data, to uncover potential genetic targets for these conditions, thereby informing therapeutic and drug development strategies.
Methods: We utilized the Consortium for Linkage Disequilibrium Score Regression (LDSC) and Mendelian Randomization (MR) analysis to investigate genetic correlations among anxiety, depression, and schizophrenia. Utilizing GTEx V8 eQTL and deCODE Genetics pQTL data, we performed a three-step summary-data-based Mendelian randomization (SMR) and protein-protein interaction analysis. This helped assess causal and comorbid loci for these disorders and determine if identified loci share coincidental variations with psychiatric diseases. Additionally, phenome-wide association studies, drug prediction, and molecular docking validated potential drug targets.
Results: We found genetic correlations between anxiety, depression, and schizophrenia, and under a meta-analysis of MR from multiple databases, the causal relationships among these disorders are supported. Based on this, three-step SMR and colocalization analyses identified ITIH3 and CCS as being related to the risk of developing depression, while CTSS and DNPH1 are related to the onset of schizophrenia. BTN3A1, PSMB4, and TIMP4 were identified as comorbidity loci for both disorders. Molecules that could not be determined through colocalization analysis were also presented. Drug prediction and molecular docking showed that some drugs and proteins have good binding affinity and available structural data.
Conclusions: Our study indicates genetic correlations and shared risk loci between anxiety, depression, and schizophrenia. These findings offer insights into the underlying mechanisms of their comorbidities and aid in drug development.
Keywords: Anxiety; Depression; Drug targets; Schizophrenia; Shared genetic architecture.
© 2024. The Author(s).
Conflict of interest statement
The authors declare that they have no competing interests.
Figures






Similar articles
-
Dissecting shared genetic architecture between depression and body mass index.BMC Med. 2024 Oct 11;22(1):455. doi: 10.1186/s12916-024-03681-9. BMC Med. 2024. PMID: 39394142 Free PMC article.
-
Comprehensive genetic analysis based on multi - omics reveals novel therapeutic targets for mitral valve prolapse and drug molecular dynamics simulation.Int J Cardiol. 2025 Aug 15;433:133325. doi: 10.1016/j.ijcard.2025.133325. Epub 2025 Apr 30. Int J Cardiol. 2025. PMID: 40311696
-
Identification of drug targets for Sjögren's syndrome: multi-omics Mendelian randomization and colocalization analyses.Front Immunol. 2024 Jun 12;15:1419363. doi: 10.3389/fimmu.2024.1419363. eCollection 2024. Front Immunol. 2024. PMID: 38933282 Free PMC article.
-
The role of the brain-bone axis in skeletal degenerative diseases and psychiatric disorders, A genome-wide pleiotropic analysis.Prog Neuropsychopharmacol Biol Psychiatry. 2025 Jun 20;139:111388. doi: 10.1016/j.pnpbp.2025.111388. Epub 2025 May 15. Prog Neuropsychopharmacol Biol Psychiatry. 2025. PMID: 40340016 Review.
-
Decoding Advances in Psychiatric Genetics: A Focus on Neural Circuits in Rodent Models.Adv Genet. 2015;92:75-106. doi: 10.1016/bs.adgen.2015.09.001. Epub 2015 Oct 23. Adv Genet. 2015. PMID: 26639916 Review.
Cited by
-
Genetic, Epidemiological, and Clinical Risk Factors for Perinatal Anxiety and Depression in Dubai: Protocol for a 2-Point Prospective Observational Study.JMIR Res Protoc. 2025 Apr 29;14:e68346. doi: 10.2196/68346. JMIR Res Protoc. 2025. PMID: 40299496 Free PMC article.
-
Emotional Response to Various Exercise Types in Patients With Mental Disorders.Cureus. 2024 Dec 9;16(12):e75371. doi: 10.7759/cureus.75371. eCollection 2024 Dec. Cureus. 2024. PMID: 39781132 Free PMC article.
-
Genetic associations of plasma metabolites with immune cells in hyperthyroidism revealed by Mendelian randomization and GWAS-sc-eQTLs xQTLbiolinks analysis.Sci Rep. 2025 Jan 8;15(1):1377. doi: 10.1038/s41598-025-85664-1. Sci Rep. 2025. PMID: 39779799 Free PMC article.
-
Novel Insights into Schizophrenia Treatment: Comprehensive Analysis Unveiling FGFR1 as a Promising Druggable Gene.Mol Neurobiol. 2025 Jul 21. doi: 10.1007/s12035-025-05221-9. Online ahead of print. Mol Neurobiol. 2025. PMID: 40685484
-
The prevalence and clinical correlates of severe anxiety symptoms in first-episode drug-naïve schizophrenia: a Chinese population study.BMC Psychiatry. 2025 Jul 30;25(1):743. doi: 10.1186/s12888-025-07197-1. BMC Psychiatry. 2025. PMID: 40739636 Free PMC article.
References
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous