Evidence map›Paper›PMID 31862893›Full record

ArticleNature communications2019

Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke.

Gad Abraham, Rainer Malik, Ekaterina Yonova-Doing, Agus Salim, Tingting Wang, John Danesh, Adam S Butterworth, Joanna M M Howson, Michael Inouye, Martin Dichgans

Erratum issuedOpen access · goldAbstract readComparative Study
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 121 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed, 4 pooled it
17.4field-weighted citation impact, top 1% 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

121 citing papers in PubMed, 4 syntheses or guidelines pooled it, 194 citations in OpenAlex.

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  16. Genetics of intracerebral hemorrhage.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
  17. Article
  18. Scalable and accurate rare-variant association tests for whole genome sequencing time-to-event analysis in large biobanks.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  19. Review
  20. Article

61 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 4 countries.

Gad AbrahamCambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia. gad.abraham@baker.edu.au.
Rainer MalikInstitute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians-Universität LMU, Munich, Germany.
Ekaterina Yonova-DoingBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Agus SalimBaker Heart and Diabetes Institute, Melbourne, VIC, Australia.
Tingting WangCambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
John DaneshBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Adam S ButterworthBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-6915-9015
Joanna M M HowsonBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-7618-0050
Michael InouyeCambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia. mi336@medschl.cam.ac.uk.
Martin DichgansInstitute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians-Universität LMU, Munich, Germany. martin.dichgans@med.uni-muenchen.de.ORCID http://orcid.org/0000-0002-0654-387X
University of Cambridge · GBBaker Heart and Diabetes Institute · AUGerman Center for Neurodegenerative Diseases · DELudwig-Maximilians-Universität München · DETuring Institute · GB

Funding

ARACHIDONATE METABOLISM IN GLOMERULONEPHRITIS/VASCULITISK08HL001313 · NHLBI · WASHINGTON UNIVERSITY · PI LEFKOWITH, JAMES B · 1985 to 1988
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British Heart Foundation RG/18/13/33946Medical Research Council MC_PC_12028Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/L003120/1
6 · The paper itself

Abstract

Recent genome-wide association studies in stroke have enabled the generation of genomic risk scores (GRS) but their predictive power has been modest compared to established stroke risk factors. Here, using a meta-scoring approach, we develop a metaGRS for ischaemic stroke (IS) and analyse this score in the UK Biobank (n = 395,393; 3075 IS events by age 75). The metaGRS hazard ratio for IS (1.26, 95% CI 1.22-1.31 per metaGRS standard deviation) doubles that of a previous GRS, identifying a subset of individuals at monogenic levels of risk: the top 0.25% of metaGRS have three-fold risk of IS. The metaGRS is similarly or more predictive compared to several risk factors, such as family history, blood pressure, body mass index, and smoking. We estimate the reductions needed in modifiable risk factors for individuals with different levels of genomic risk and suggest that, for individuals with high metaGRS, achieving risk factor levels recommended by current guidelines may be insufficient to mitigate risk.

Indexed as

Genetic Predisposition to DiseaseAgedBlood PressureBody Mass IndexBrain IschemiaComorbidityDatasets as TopicFemaleGenome-Wide Association StudyGenomicsHumansMaleMedical History TakingMiddle AgedPolymorphism, Single NucleotidePredictive Value of Tests

Identifiers

PMID31862893
PMCPMC6925280
OpenAlexW2995302941

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.