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Deciphering the shared genetic architecture between schizophrenia and suicide attempt: a statistical genomic study.

Overview

Authors: Bixi Gao1, Jiankun Zhou1, Bingyi Song1, Menghan Wang1, Renjie Shou1, Youjia Qiu1, Juyi Zhang1
  1. Department of Neurosurgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province 215006 China
Journal: BMC psychiatry, volume 26, issue 1, article 608
Dates: received 21 October 2025; accepted 11 May 2026; published online 3 June 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1186/s12888-026-08189-5 · PMID 42231240 · PMCID PMC13449581 · OpenAlex W7163153852
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: genetics / omics (modality), human (organism), schizophrenia / psychosis (population), clinical / translational (subfield)
Methods: Statistics, Preprocessing
Keywords: Schizophrenia, Suicide attempt, Shared genetic architecture, Genetic correlation, Cross-trait, GWAS
MeSH: Schizophrenia*, Suicide, Attempted*, Genetic Predisposition to Disease, Genome-Wide Association Study, Genomics, Humans, Linkage Disequilibrium, Mendelian Randomization Analysis, Phenotype, Polymorphism, Single Nucleotide (* major topic)
Topic: Genetic Associations and Epidemiology (Genetics, Biochemistry, Genetics and Molecular Biology), according to OpenAlex
Funding: National Natural Science Foundation of China (82001254)
Citations: not cited yet (Europe PMC); 78 references in the paper

Abstract

Background: Evidence for reciprocal comorbidity of schizophrenia (SCZ) and suicide attempt (SA) has been discussed in recent years. However, little evidence is known regarding the shared genetic architecture between SCZ and SA. This study investigated the genetic correlation and causality between them.

Methods: Leveraging the genome-wide association summary statistics from European ancestry, we qualified local and global genetic correlations between the two traits through Heritability Estimation from Summary Statistics (ρ-HESS) and Linkage Disequilibrium Score Regression (LDSC). Cross-trait meta-analyses, cross-phenotype association, and colocalization analyses were utilized to identify and validate novel risk loci. Bidirectional Mendelian randomization (MR) was used to investigate causality. Tissue-level SNP heritability enrichment was assessed through Stratified LDSC and Multi-marker Analysis of GenoMic Annotation (MAGMA).

Results: LDSC identified significant positive genetic correlation between SCZ and SA (rg = 0.48, p = 1.23 × 10− 89), and ρ-HESS observed 13 distinct regions associated with both traits. Cross-trait meta-analysis identified 4,025 significant SNPs across the two phenotypes, corresponding to 79 independent loci after LD-based clumping and removing those in LD region. Then, variant functional annotation identified 44 SNPs as novel risk loci, and colocalization analysis identified five novel shared loci among these SNPs between SCZ and SA, including rs10456045 (PP.H4 97.98%), rs13195401 (PP.H4 93.65%), rs13198474 (PP.H4 95.91%), rs60135207 (PP.H4 89.89%), and rs3132450 (PP.H4 88.68%). In MR analysis, genetically predicted SCZ was positively associated with SA (OR 1.17, 95%CI 1.37 to 1.21, p = 7.39 × 10− 22), with no reverse causality. Tissue-specific analysis showed that associated genes were predominantly enriched in brain tissues, particularly cortical, limbic, and basal ganglia-related regions.

Conclusions: Our study suggests a shared genetic architecture between SCZ and SA, characterized by overlapping pleiotropic variants, tissue-specific expression, and functionally shared genes. These findings delineate previously underappreciated genetic overlaps between them and provide a framework for future mechanistic exploration and therapeutic target discovery.

Clinical trial number: Not applicable.

Supplementary Information: The online version contains supplementary material available at 10.1186/s12888-026-08189-5.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper links to its data, not to its authors' code: see the Data section.

Tracing map

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Data

Datasets cited

Data availability

The authors declare that all enrolled data could be found in the manuscript and supplementary materials. The GWAS summary statistics of SCZ could be found at IEU open GWAS project (https://opengwas.io/datasets/). The GWAS summary statistics of SA could be obtained through submitting application form (https://pgcdataaccess.formstack.com/forms/isgc_data_access_sui).

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 7 authors, 6 keywords, 10 MeSH terms, 1 funder, 78 references.

Cite

This paper

Gao, B., Zhou, J., Song, B., Wang, M., Shou, R., Qiu, Y., & Zhang, J. (2026). Deciphering the shared genetic architecture between schizophrenia and suicide attempt: a statistical genomic study. BMC psychiatry, 26(1), 608. https://doi.org/10.1186/s12888-026-08189-5

BibTeX

@article{gao2026deciphering,
author = {Gao, Bixi and Zhou, Jiankun and Song, Bingyi and Wang, Menghan and Shou, Renjie and Qiu, Youjia and Zhang, Juyi},
title = {{Deciphering the shared genetic architecture between schizophrenia and suicide attempt: a statistical genomic study}},
journal = {BMC psychiatry},
year = {2026},
month = jun,
volume = {26},
number = {1},
pages = {608},
publisher = {BMC},
issn = {1471-244X},
doi = {10.1186/s12888-026-08189-5},
url = {https://doi.org/10.1186/s12888-026-08189-5},
pmid = {42231240},
pmcid = {PMC13449581}
}

RIS

TY - JOUR
AU - Gao, Bixi
AU - Zhou, Jiankun
AU - Song, Bingyi
AU - Wang, Menghan
AU - Shou, Renjie
AU - Qiu, Youjia
AU - Zhang, Juyi
TI - Deciphering the shared genetic architecture between schizophrenia and suicide attempt: a statistical genomic study
T2 - BMC psychiatry
J2 - BMC Psychiatry
PY - 2026
DA - 2026/06/03
VL - 26
IS - 1
SP - 608
SN - 1471-244X
PB - BMC
DO - 10.1186/s12888-026-08189-5
UR - https://doi.org/10.1186/s12888-026-08189-5
LA - en
ER -

CSL-JSON

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