Evidence map›Paper›PMID 40993117›Full record

ArticleNature communications2025

Shared genetic architecture contributes to risk of major cardiovascular diseases.

Jun Qiao, Lei Jiang, Liuyang Cai, Minjing Chang, Can Wang, Rong Zhao, Shan Song, Yuhui Zhao, Miaoran Chen, Shifang Ding and 7 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Shared and distinct phenotypic profiles among neurodevelopmental disorder genes.medRxiv : the preprint server for health sciences · 2026
    Article
  3. Article
  4. Article
  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Jun QiaoDepartment of Pharmacology, SUSTech Homeostatic Medicine Institute, School of Medicine, Southern University of Science and Technology, Shenzhen, China.ORCID http://orcid.org/0000-0001-7038-4538
Lei JiangDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. jianglei0731@gmail.com.
Liuyang CaiDepartment of Pharmacology, SUSTech Homeostatic Medicine Institute, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Minjing ChangSchool of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China.
Can WangDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China.
Rong ZhaoSchool of Medicine, South China University of Technology, Guangzhou, China.
Shan SongDepartment of Rheumatology and Clinical Immunology, Peking University First Hospital, Beijing, China.
Yuhui ZhaoDepartment of Rheumatology, The Second Hospital of Shanxi Medical University, Shanxi Key Laboratory of Rheumatism Immune Microecology, Shanxi Precision Medical Engineering Research Center for Rheumatology, Taiyuan, China.
Miaoran ChenDepartment of Rheumatology, The Second Hospital of Shanxi Medical University, Shanxi Key Laboratory of Rheumatism Immune Microecology, Shanxi Precision Medical Engineering Research Center for Rheumatology, Taiyuan, China.
Shifang DingThe First School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Ning TanDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Pengcheng HeDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Sakthivel SadayappanHeart, Lung and Vascular Institute, Department of Internal Medicine, Division of Cardiovascular Health and Disease, University of Cincinnati, Cincinnati, OH, USA.ORCID http://orcid.org/0000-0003-2006-7678
Jinguo XuDepartment of Cardiovascular Surgery, First Affiliated Hospital of Anhui Medical University, Hefei, China. xujinguo@ahmu.edu.cn.
Siim PauklinBotnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Headington, Oxford, UK. siim.pauklin@ndorms.ox.ac.uk.ORCID http://orcid.org/0000-0001-8367-3670
Zhengbing LiuThe First School of Clinical Medicine, Southern Medical University, Guangzhou, China. njzylzb@126.com.
Yuliang FengDepartment of Pharmacology, SUSTech Homeostatic Medicine Institute, School of Medicine, Southern University of Science and Technology, Shenzhen, China. fengyl@sustech.edu.cn.

Funding

Cancer Research UK (CRUK) C59392/A25064
6 · The paper itself

Abstract

The extensive co-occurrence of cardiovascular diseases (CVDs), as evidenced by epidemiological studies, is supported by positive genetic correlations identified in comprehensive genetic investigations, suggesting a shared genetic basis. However, the precise genetic mechanisms underlying these associations remain elusive. By assessing genetic correlations, genetic overlap, and causal connections, we aim to shed light on common genetic underpinnings among major CVDs. Employing multi-trait analysis, we pursue diverse strategies to unveil shared genetic elements, encompassing SNPs, genes, gene sets, and functional categories with pleiotropic implications. Our study systematically quantifies genetic overlap beyond genome-wide genetic correlations across CVDs, while identifying a putative causal relationship between coronary artery disease (CAD) and heart failure (HF). We then pinpointed 38 genomic loci with pleiotropic influence across CVDs, of which the most influential pleiotropic locus is located at the LPA gene. Notably, 12 loci present high evidence of multi-trait colocalization and display congruent directional effects. Examination of genes and gene sets linked to these loci unveiled robust associations with circulatory system development processes. Intriguingly, distinct patterns predominantly driven by atrial fibrillation, coronary artery disease, and venous thromboembolism underscore the significant disparities between clinically defined CVD classifications and underlying shared biological mechanisms, according to functional annotation findings.

Indexed as

Cardiovascular DiseasesGenetic Predisposition to DiseaseCoronary Artery DiseaseGenetic PleiotropyGenome-Wide Association StudyHeart FailureHumansPolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID40993117
PMCPMC12460838

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.