Evidence map›Paper›PMID 38987358›Full record

ArticleNature human behaviour2024

Joint impact of polygenic risk score and lifestyles on early- and late-onset cardiovascular diseases.

China Kadoorie Biobank Collaborative Group

Abstract read
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In one paragraph

Article in Nature human behaviour, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
–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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Lifestyle factors and cardiometabolic risk.Chinese medical journal · 2026
    Review
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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

1 author.

China Kadoorie Biobank Collaborative Group

Funding

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2011BAI09B01National Natural Science Foundation of China (National Science Foundation of China) 81941018National Natural Science Foundation of China (National Science Foundation of China) 82192901, 82388102, 82192900, 81390540, 91846303National Natural Science Foundation of China (National Science Foundation of China) 823B2090Wellcome Trust 212946/Z/18/ZWellcome Trust (Wellcome) 212946/Z/18/Z, 202922/Z/16/Z, 104085/Z/14/Z, 088158/Z/09/Z
6 · The paper itself

Abstract

Understanding the interactions between genetic risk and lifestyles on different types and age onsets of cardiovascular disease (CVD) risk can help identify individuals for whom lifestyle changes would be beneficial. Here we developed three polygenic risk scores, called MetaPRSs, for coronary artery disease, ischaemic stroke and intracerebral haemorrhage by combining PRSs for CVD and CVD-related risk factors in 96,400 participants from the prospective China Kadoorie Biobank. Genetic and lifestyle risks were categorized by the disease-specific MetaPRSs and the number of unfavourable lifestyles. High genetic risk and unfavourable lifestyles were found to be more strongly associated with early than late onset of CVD outcomes in men and women. Change from unfavourable to favourable lifestyles resulted in 14.7-, 2.5- and 2.6-fold greater reductions in incidence rates of early-onset coronary artery disease and ischaemic stroke and late-onset coronary artery disease in high than low genetic risk group. Young adults at high genetic risk may have larger benefits in preventing CVD from lifestyle improvements.

Indexed as

Age of OnsetCardiovascular DiseasesLife StyleMultifactorial InheritanceAdultAgedCerebral HemorrhageChinaCoronary Artery DiseaseFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreHumansIschemic StrokeMaleMiddle Aged

Identifiers

What OpenQuestion holds

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Read underepoch 390

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.