Cross-trait analysis reveals shared genetic architecture between mental health and cardiovascular traits.
5 affiliations
- 1Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, School of Pharmacy Shandong Medical And Pharmaceutical University, Yantai, Shandong 264003, China.
- 2Shandong Province Key Laboratory of Complex Medical Intelligence and Aging, Shandong Medical and Pharmaceutical University, Yantai 264003, China.
- 3Department of Pathology, Shandong Medical and Pharmaceutical University Hospital, Binzhou 256699, China.
- 4Yantai Affiliated Hospital of Shandong Medical and Pharmaceutical University, Yantai, Shandong 264000, China.
- 5School of Special Education and Rehabilitation Shandong Medical and Pharmaceutical University, Yantai, Shandong 264003, China.
Abstract
Background
The association between cardiovascular disease (CVD) and mental health (MH) is well established. However, the shared genetic architecture and underlying causal relationships between these conditions remain insufficiently understood.Material and methods
Summary statistics from Genome-wide association studies (GWAS) for 8 MH traits and 10 cardiovascular system (CVS) traits were used in the analyses. LDSC regression was applied to estimate heritability and genetic correlations. Bidirectional Mendelian randomization (MR) analysis was conducted to explore potential causal relationships between MH and CVS traits. In addition, Summary data-based Mendelian randomization (SMR) analysis was used to identify gene expression in circulating causally associated with both MH and CVS traits. Functional annotation of genes was further explored by querying gene information across multiple databases.Results
LDSC identified five cross-trait genetic correlations that survived Bonferroni correction, with nine additional pairs reaching false discovery rate significance. Bidirectional causality between DBP and anxiety, and unidirectional links between DBP-NM, SBP-anxiety, anxiety-angina, and NM-CAD/myocardial infarction. SMR analysis further identified 12 shared genes that regulate both MH and CVS traits. Notably, CNNM2 was implicated across transcriptional levels, mouse knockout models, and pathogenic mutations, with associations to both cardiovascular and neurological phenotypes. Additionally, RGS6 and GAB2 simultaneously influence both anxiety and blood pressure, and ZCCHC14 exhibits pleiotropic effects on heart rate variability and blood vessels.Conclusion
Our study provides evidence for a shared genetic basis and suggests potential causal relationships between CVS and MH traits. This highlights the intricate interplay between genetic factors, mental well-being, and cardiovascular health, underscoring the value of further mechanistic and experimental research to clarify how these shared pathways might eventually inform clinical strategies.
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BibTeX
@article{yin2026crosstrait,
title = {{Cross-trait analysis reveals shared genetic architecture between mental health and cardiovascular traits.}},
author = {Quanting Yin and Jun Zhao and Pengcheng Yi and Chunhua Yang and Jia Mi and Fuyi Xu and Geng Tian and Li Shang and Qingxia He},
journal = {Global medical genetics},
year = {2026},
month = jul,
doi = {10.1016/j.gmg.2026.100122},
url = {https://europepmc.org/article/MED/42898304},
note = {CC BY},
}
RIS
TY - JOUR
TI - Cross-trait analysis reveals shared genetic architecture between mental health and cardiovascular traits.
AU - Quanting Yin
AU - Jun Zhao
AU - Pengcheng Yi
AU - Chunhua Yang
AU - Jia Mi
AU - Fuyi Xu
AU - Geng Tian
AU - Li Shang
AU - Qingxia He
PY - 2026
DA - 2026/07/24
JO - Global medical genetics
DO - 10.1016/j.gmg.2026.100122
UR - https://europepmc.org/article/MED/42898304
AB - Background The association between cardiovascular disease (CVD) and mental health (MH) is well established. However, the shared genetic architecture and underlying causal relationships between these conditions remain insufficiently understood.Material and methods Summary statistics from Genome-wide association studies (GWAS) for 8 MH traits and 10 cardiovascular system (CVS) traits were used in the analyses. LDSC regression was applied to estimate heritability and genetic correlations. Bidirectional Mendelian randomization (MR) analysis was conducted to explore potential causal relationships between MH and CVS traits. In addition, Summary data-based Mendelian randomization (SMR) analysis was used to identify gene expression in circulating causally associated with both MH and CVS traits. Functional annotation of genes was further explored by querying gene information across multiple databases.Results LDSC identified five cross-trait genetic correlations that survived Bonferroni correction, with nine additional pairs reaching false discovery rate significance. Bidirectional causality between DBP and anxiety, and unidirectional links between DBP-NM, SBP-anxiety, anxiety-angina, and NM-CAD/myocardial infarction. SMR analysis further identified 12 shared genes that regulate both MH and CVS traits. Notably, CNNM2 was implicated across transcriptional levels, mouse knockout models, and pathogenic mutations, with associations to both cardiovascular and neurological phenotypes. Additionally, RGS6 and GAB2 simultaneously influence both anxiety and blood pressure, and ZCCHC14 exhibits pleiotropic effects on heart rate variability and blood vessels.Conclusion Our study provides evidence for a shared genetic basis and suggests potential causal relationships between CVS and MH traits. This highlights the intricate interplay between genetic factors, mental well-being, and cardiovascular health, underscoring the value of further mechanistic and experimental research to clarify how these shared pathways might eventually inform clinical strategies.
SN - 2699-9404
ER -