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Shared Genetic Factors Between Stress-related Disorders and Cardiovascular Disease
Mental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China; Med-X Center for Informatics, Sichuan University, Chengdu 610041, China.
Med-X Center for Informatics, Sichuan University, Chengdu 610041, China; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China.
Med-X Center for Informatics, Sichuan University, Chengdu 610041, China; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China.
Med-X Center for Informatics, Sichuan University, Chengdu 610041, China; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China.
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2026 (English)In: Genomics, proteomics & bioinformatics, ISSN 1672-0229, E-ISSN 2210-3244, article id qzag077Article in journal (Refereed) Epub ahead of print
Abstract [en]

Understanding whether and how shared genetic factors contribute to the comorbidity between stress-related disorders (SRDs) and cardiovascular disease (CVD) is important for integrated prevention and treatment, but current evidence remains limited. To address this gap, we integrated Swedish national registers (n = 4,123,631), UK Biobank (n = 502,291), and genome-wide association study summary statistics to explore shared genetic liability between SRDs and six CVD subtypes and to nominate pleiotropic loci, genes, and enriched pathways. Familial coaggregation analyses showed that the SRDs-CVD association attenuated with decreasing genetic relatedness among relatives, supporting the existence of shared genetic influences. Polygenic risk scores for SRDs significantly predicted a higher risk of any CVD and all subtypes (odds ratios = 1.05-1.09), and all SRDs-CVD pairs showed positive genetic correlations (rg = 0.09-0.35), whereas Mendelian randomization (MR) analyses did not support strong causal effects in either direction. Genome-wide cross-trait analyses identified 17 putative pleiotropic loci, and consensus-based gene mapping prioritized 16 putative pleiotropic genes. Enrichment analyses indicated that pleiotropic signals were enriched in processes related to hemostasis and coagulation, circulatory system development, and telomere maintenance. In validation analyses focusing on post-traumatic stress disorder (PTSD), we observed a similar pattern of genetic overlap with CVD and replicated a subset of loci, genes, and pathways. These findings support a genetic comorbidity framework in which shared genetic liability, largely driven by pleiotropic loci, contributes to the co-occurrence of SRDs and CVD and highlight candidate genes and biological processes for future experimental studies.

Place, publisher, year, edition, pages
Oxford University Press, 2026. article id qzag077
Keywords [en]
Cardiovascular disease, Genetic pleiotropy, Genome-wide association studies, Post-traumatic stress disorder, Stress-related disorders
National Category
Medical Genetics and Genomics Psychiatry Cardiology and Cardiovascular Disease
Identifiers
URN: urn:nbn:se:oru:diva-130459DOI: 10.1093/gpbjnl/qzag077PubMedID: 42538827OAI: oai:DiVA.org:oru-130459DiVA, id: diva2:2090553
Funder
NordForsk
Note

Funding Agencies:

Shire Pharmaceuticals, NordForsk and the Icelandic Center for Research. 

Available from: 2026-08-07 Created: 2026-08-07 Last updated: 2026-08-07Bibliographically approved

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