ArticleCell genomics2023
Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries.
Article in Cell genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- The genetics of cannabis lifetime use.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Pooled it
- Multi-Omics Integration Reveals That SN-011 Targets JUNB to Upregulate ADGRE5 and Restore Vascular Endothelial Cell Communication in Ischemic Stroke.Chemical biology & drug design · 2026Article
- Multi-Omics Integration in Stroke: Neuroinflammatory Endotypes, Immune Cell Crosstalk, and Precision Biomarker Discovery.International journal of molecular sciences · 2026Review
- Blood pressure, plasma proteins, and cardiovascular diseases: a network Mendelian randomization and observational study.European heart journal · 2026Observational
- Article
- DNA methylation as a possible mechanism linking childhood adversity and health: results from a 2-sample mendelian randomization study.American journal of epidemiology · 2024Article
- Sex-Stratified Genome-Wide Association Study in the Spanish Population Identifies a Novel Locus for Lacunar Stroke.Stroke · 2024Article
- Protein Identification for Stroke Progression via Mendelian Randomization in Million Veteran Program and UK Biobank.Stroke · 2024Article
- To weight or not to weight? The effect of selection bias in 3 large electronic health record-linked biobanks and recommendations for practice.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- To weight or not to weight? Studying the effect of selection bias in three large EHR-linked biobanks.medRxiv : the preprint server for health sciences · 2024Article
- The role ofFrontiers in neuroscience · 2024Article
- Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts.Cell genomics · 2023Article
- Genetic heterogeneity in cardiovascular disease across ancestries: Insights for mechanisms and therapeutic intervention.Cambridge prisms. Precision medicine · 2023Review
- Meta-analysis fine-mapping is often miscalibrated at single-variant resolution.Cell genomics · 2022Article
- Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease.Cell genomics · 2022Article
- Machine learning-based prediction of cerebral artery territorial infarcts in acute ischemic stroke using non-contrast CT.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
24 authors at 7 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stroke is the second leading cause of death and disability worldwide. Stroke prevalence varies by sex and ancestry, possibly due to genetic heterogeneity between subgroups. We performed a genome-wide meta-analysis of 16 biobanks across multiple ancestries to study the genetics of ischemic stroke (60,176 cases, 1,310,725 controls) as part of the Global Biobank Meta-analysis Initiative (GBMI) and further combined the results with previously published MegaStroke. Five novel loci for ischemic stroke (
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Registered trials
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.