Evidence map›Paper›PMID 42898304›Full record

ArticleGlobal medical genetics2026

Cross-trait analysis reveals shared genetic architecture between mental health and cardiovascular traits.

Quanting Yin, Jun Zhao, Pengcheng Yi, Chunhua Yang, Jia Mi, Fuyi Xu, Geng Tian, Li Shang, Qingxia He

Abstract read
In one paragraph

Article in Global medical genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Quanting YinShandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, School of Pharmacy Shandong Medical And Pharmaceutical University, Yantai, Shandong 264003, China.
Jun ZhaoDepartment of Pathology, Shandong Medical and Pharmaceutical University Hospital, Binzhou 256699, China.
Pengcheng YiShandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, School of Pharmacy Shandong Medical And Pharmaceutical University, Yantai, Shandong 264003, China.
Chunhua YangShandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, School of Pharmacy Shandong Medical And Pharmaceutical University, Yantai, Shandong 264003, China.
Jia MiShandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, School of Pharmacy Shandong Medical And Pharmaceutical University, Yantai, Shandong 264003, China.
Fuyi XuShandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, School of Pharmacy Shandong Medical And Pharmaceutical University, Yantai, Shandong 264003, China.
Geng TianShandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, School of Pharmacy Shandong Medical And Pharmaceutical University, Yantai, Shandong 264003, China.
Li ShangYantai Affiliated Hospital of Shandong Medical and Pharmaceutical University, Yantai, Shandong 264000, China.
Qingxia HeSchool of Special Education and Rehabilitation Shandong Medical and Pharmaceutical University, Yantai, Shandong 264003, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Cardiovascular systemMendelian randomizationMental health

Identifiers

PMID42898304
PMCPMC13677588

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