Evidence map›Paper›PMID 40374717›Full record

ArticleScientific reports2025

Impact of gene-environment interactions on atrial fibrillation and cardiac structure.

Panlong Li, Xirui Zhu, Min Liu, Yanfeng Wang, Chun Huang, Junwei Sun, Shan Tian, Yuna Li, Yuan Qiao, Junting Yang and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. Article
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

16 authors.

Panlong LiSchool of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, China.
Xirui ZhuSchool of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, China.
Min LiuDepartment of Hypertension, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, Henan, China.
Yanfeng WangSchool of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, China.
Chun HuangSchool of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, China.
Junwei SunSchool of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, China.
Shan TianDepartment of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yuna LiDepartment of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yuan QiaoDepartment of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Junting YangDepartment of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shanshan CaoDepartment of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chaohua CongDepartment of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lei ZhaoDepartment of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Meiyun WangDepartment of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China. mywang@ha.edu.cn.
Jingjing SuDepartment of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. jingjingsu2000@163.com.
Dandan TianDepartment of Hypertension, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, Henan, China. tinagra1989@163.com.

Funding

Doctoral Research Start-up Foundation of Zhengzhou University of Light Industry 2020BSJJ007Horizontal Research Project from Shanghai Ninth People's Hospital JYHX2021001Joint Construction Project for Science and Technology Tackling Key Issues of Henan Provincial Health Commission LHGJ20230069National Natural Science Foundation of China 82071282National Natural Science Foundation of Henan 222300420376Rare Disease Registration Platform of Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine JYHJB08
6 · The paper itself

Abstract

Environmental pollution is a major burden of cardiovascular disease. The aim of the study was to investigate the interactions between combined environmental factors and genetic susceptibility on atrial fibrillation (AF) and cardiac structures. The study included 374,495 participants from the UK Biobank, utilizing genetic data and environmental variables (including air pollution, noise, greenspace and water quality). Polygenic risk score (PRS) was calculated to estimate individual genetic risk. Cox proportional hazard model was applied to estimate the impact of exposure factors on the risk of AF occurrence. The mediation analysis was applied to assess the relationship among environmental scores, AF and cardiac structures. Population attributable fraction (PAF) was employed to assess potential influence of mitigating unfavorable environment characteristics on AF. The results showed that the highest group of four domain scores exhibited 3.38-16.83% higher AF risk than the lowest. Individuals with higher scores in four domains and high PRS had hazard ratio (95%CI) of 2.76 (2.62, 2.91), 2.61 (2.47, 2.75), 2.86 (2.71, 3.02) and 2.84 (2.66, 3.02). Environmental factors could indirectly affect cardiac structures through AF. Up to 7.37% of AF cases could be preventable through environmental interventions. Our findings pointed that gene-environment interaction can increase AF risk, which further affect cardiac structures.

Indexed as

Atrial FibrillationGene-Environment InteractionAgedEnvironmental ExposureFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedProportional Hazards ModelsRisk FactorsAtrial fibrillationCardiac structureGene-environment interactionGenetic risk

Identifiers

PMID40374717
PMCPMC12081741

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Registered trials

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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.