Evidence map›Paper›PMID 40696436›Full record

ArticleGenome medicine2025

Impact of genetic risk and lifestyles on cardiovascular disease-free and total life expectancy: a cohort study.

Dong Sun, Qiufen Sun, Yinqi Ding, Canqing Yu, Dianjianyi Sun, Yuanjie Pang, Pei Pei, Ling Yang, Iona Y Millwood, Robin G Walters and 8 more

Abstract read
In one paragraph

Article in Genome medicine, 2025. 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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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

18 authors.

Dong SunDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Qiufen SunDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Yinqi DingDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Canqing YuDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Dianjianyi SunDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Yuanjie PangDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Pei PeiPeking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China.
Ling YangClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Iona Y MillwoodClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Robin G WaltersClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Huaidong DuClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Jun ZhangSuzhou Center for Disease Prevention and Control, Suzhou, China.
Dan SchmidtClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Junshi ChenChina National Center for Food Safety Risk Assessment, Beijing, China.
Zhengming ChenClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Liming LiDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China. lmlee@vip.163.com.
Jun LvDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China. lvjun@bjmu.edu.cn.
China Kadoorie Biobank Collaborative Group

Funding

Chinese Ministry of Science and Technology 2011BAI09B01National Key Research and Development Program of China 2016YFC0900500National Natural Science Foundation of China 82192901, 82192904, 82192900, 82388102, 823B2090, 81390540, 91846303, 81941018Wellcome TrustWellcome Trust 212946/Z/18/Z, 202922/Z/16/Z, 104085/Z/14/Z, 088158/Z/09/Z
6 · The paper itself

Abstract

backgroundUnderstanding the role of genetic risk and lifestyles on life expectancy (LE) without cardiovascular disease (CVD) and total LE may help optimize healthy aging strategies after taking genetic background into account.

methodsThe China Kadoorie Biobank recruited participants from five urban and five rural areas across China during 2004-2008 and followed them up till December 31, 2018. A polygenic risk score (PRS) comprising 3.5 million genetic variants for overall CVD was constructed by combining multiple PRSs for CVD and CVD-related risk factors in 96,400 participants. Genetic risk was categorized into low, intermediate, and high according to the PRS, and lifestyles were categorized as favorable, intermediate, and unfavorable according to the number of unfavorable lifestyles. Using multistate life tables, we estimated CVD-free and total LE at age 40 for different genetic and lifestyle risk groups.

resultsGenetic risk was more strongly associated with CVD onset than post-CVD mortality. As a result, the increase in LE without CVD associated with low genetic risk (4.9 years (95% CI 4.3-5.5) for women and 4.4 years (3.6-5.1) for men) was greater than the increase in total LE (2.9 years (1.8-3.8) for women and 2.6 years (1.5-3.5) for men) when compared to high genetic risk. In contrast, the association strengths of lifestyles with CVD onset and mortality after CVD were similar. Correspondingly, compared to those with unfavorable lifestyles, participants with favorable lifestyles had longer total LE and LE without CVD of 3.0 (1.5-4.3) and 4.0 (3.0-4.9) years in women and 5.7 (4.1-7.1) and 5.8 (4.7-6.9) years in men, respectively. Participants with high genetic risk benefited more from favorable lifestyles than those with low and intermediate genetic risk, gaining 5.9 (2.3-9.3) and 5.3 (3.0-7.6) years in women and 6.1 (0.8-10.6) and 6.2 (2.3-9.8) years in men for total and CVD-free LE, respectively.

conclusionsImproving lifestyles is critical for reducing CVD-related healthcare burden and promoting healthy aging, especially for individuals with high genetic risk.

Indexed as

Cardiovascular DiseasesGenetic Predisposition to DiseaseLife ExpectancyLife StyleAdultAgedChinaCohort StudiesFemaleHumansMaleMiddle AgedMultifactorial InheritanceRisk FactorsCardiovascular disease-free life expectancyCohort studyLifestylesPolygenic risk score

Identifiers

PMID40696436
PMCPMC12285114

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