Evidence map›Paper›PMID 41542229›Full record

ArticleFrontiers in stroke2024

Diversity in genetic risk of recurrent stroke: a genome-wide association study meta-analysis.

Chad M Aldridge, Nicole D Armstrong, N Abimbola Sunmonu, Christopher Becker, Deepak Palakshappa, Arne G Lindgren, Annie Pedersen, Tara M Stanne, Christina Jern, Jane Maguire and 5 more

Abstract read
In one paragraph

Article in Frontiers in stroke, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

15 authors.

Chad M AldridgeDepartment of Neurology, University of Virginia, Charlottesville, VA, United States.
Nicole D ArmstrongDepartment of Epidemiology, University of Alabama Birmingham, Birmingham, AL, United States.
N Abimbola SunmonuDepartment of Neurology, Yale University School of Medicine, Yale University, New Haven, CT, United States.
Christopher BeckerDepartment of Neurology, Michigan University, Ann Arbor, MI, United States.
Deepak PalakshappaDepartment of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, United States.
Arne G LindgrenDepartment of Clinical Sciences Lund, Neurology, Lund University, Lund, Sweden.
Annie PedersenDepartment of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Tara M StanneDepartment of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Christina JernDepartment of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Jane MaguireFaculty of Health, School of Nursing and Midwifery, University of Technology Sydney, Sydney, NSW, Australia.
Fang-Chi HsuDepartment of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, United States.
Keith L KeeneCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, United States.
Michele SaleCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, United States.
Marguerite R IrvinDepartment of Epidemiology, University of Alabama Birmingham, Birmingham, AL, United States.
Bradford B WorrallDepartment of Neurology, University of Virginia, Charlottesville, VA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Stroke is a leading cause of death and disability worldwide. Recurrent strokes are seven times more lethal than initial ones, with 54% leading to long-term disability. Substantial recurrent stroke risk disparities exist among ancestral groups. Notably, Africans face double the risk and higher fatality rates compared to Europeans. Although genetic studies, particularly GWAS, hold promise for uncovering biological insights into recurrent stroke, they remain underexplored. Our study addresses this gap through meta-analyses of recurrent stroke GWAS, considering specific ancestral groups and a combined approach. Methods: We utilized four independent study cohorts for African, European, and Combined ancestry recurrent stroke GWAS with genotyping, imputation, and strict quality control. We harmonized recurrent stroke phenotype and effect allele estimates across cohorts. The logistic regression GWAS model was adjusted for age, sex, and principal components. We assessed how well genetic risk of stroke informs recurrent stroke risk using Receiver Operating Characteristic (ROC) curve analysis with the GIGASTROKE Consortium's polygenic risk scores (PRS). Results: Harmonization included 4,420 participants (818 African ancestry and 3,602 European ancestry) with a recurrent stroke rate of 16.8% [median age 66.9 (59.1, 73.6) years; 56.2% male]. We failed to find genome-wide significant variants ( Discussion: Our study revealed genetic associations with recurrent stroke not previously associated with incident ischemic stroke. We found suggestive associations in genes previously linked with hypertension. We also determined that knowing the genetic risk of incident stroke does currently not inform recurrent stroke risk. We urgently need more studies to understand better the overlap or lack thereof between incident and recurrent stroke biology.

Indexed as

African ancestrydiversitygenetic riskGWASmeta-analysispolygenic risk scorerecurrent stroke

Identifiers

PMID41542229
PMCPMC12802773

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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.