Evidence map›Paper›PMID 37640499›Full record

ArticleStroke and vascular neurology2024

Associations of polygenic risk scores with risks of stroke and its subtypes in Chinese.

Songchun Yang, Zhijia Sun, Dong Sun, Canqing Yu, Yu Guo, Dianjianyi Sun, Yuanjie Pang, Pei Pei, Ling Yang, Iona Y Millwood and 12 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Stroke and vascular neurology, 2024. 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
2.0field-weighted citation impact, top 13% of its field
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, 8 citations in OpenAlex.

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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

22 authors at 5 institutions in 2 countries.

Songchun YangDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.ORCID 0000-0002-0021-4178
Zhijia SunDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Dong SunDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Canqing YuDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Yu GuoFuwai Hospital Chinese Academy of Medical Sciences, 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.ORCID 0000-0002-5741-6563
Ling YangMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
Iona Y MillwoodMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
Robin G WaltersMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
Yiping ChenMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
Huaidong DuMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
Yan LuNCDs Prevention and Control Department, Suzhou CDC, Suzhou, Jiangsu, China.
Sushila BurgessClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Daniel AveryClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0002-9823-9575
Robert ClarkeClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0002-9802-8241
Junshi ChenChina National Center for Food Safety Risk Assessment, Beijing, China.
Zhengming ChenClinical Trial Service Unit & 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.
Jun LvDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China lvjun@bjmu.edu.cn.ORCID 0000-0001-7916-3870
China Kadoorie Biobank Collaborative Group
University of Oxford · GBPeking University · CNCentral South University · CNChina National Center for Food Safety Risk Assessment · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Cancer Research UK 29186Medical Research Council MC_PC_14135Medical Research Council MC_UU_00017/1Wellcome Trust 088158Wellcome Trust 104085Wellcome Trust 202922Wellcome Trust 212946
6 · The paper itself

Abstract

background and purposePrevious studies, mostly focusing on the European population, have reported polygenic risk scores (PRSs) might achieve risk stratification of stroke. We aimed to examine the association strengths of PRSs with risks of stroke and its subtypes in the Chinese population.

methodsParticipants with genome-wide genotypic data in China Kadoorie Biobank were split into a potential training set (n=22 191) and a population-based testing set (n=72 150). Four previously developed PRSs were included, and new PRSs for stroke and its subtypes were developed. The PRSs showing the strongest association with risks of stroke or its subtypes in the training set were further evaluated in the testing set. Cox proportional hazards regression models were used to estimate the association strengths of different PRSs with risks of stroke and its subtypes (ischaemic stroke (IS), intracerebral haemorrhage (ICH) and subarachnoid haemorrhage (SAH)).

resultsIn the testing set, during 872 919 person-years of follow-up, 8514 incident stroke events were documented. The PRSs of any stroke (AS) and IS were both positively associated with risks of AS, IS and ICH (p<0.05). The HR for per SD increment (HR

conclusionsIn this Chinese population, the association strengths of current PRSs with risks of stroke and its subtypes were moderate, suggesting a limited value for improving risk prediction over traditional risk factors in the context of current genome-wide association study under-representing the East Asian population.

Indexed as

Genetic Risk ScoreHemorrhagic StrokeIschemic StrokeAdultAgedChinaEast Asian PeopleFemaleGenome-Wide Association StudyHumansIncidenceMaleMiddle AgedPhenotypePolymorphism, Single NucleotidePredictive Value of TestsGeneticsProspective StudiesStroke

Identifiers

PMID37640499
PMCPMC7616400
OpenAlexW4386215919

What OpenQuestion holds

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LicenceCC BY-NC
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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.