ArticleThe Lancet. Neurology2016
Loci associated with ischaemic stroke and its subtypes (SiGN): a genome-wide association study.
Article in The Lancet. Neurology, 2016. 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 156 papers, 16 of them syntheses that pooled it.
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Who cites it
156 citing papers in PubMed, 16 syntheses or guidelines pooled it, 260 citations in OpenAlex.
- The Role of Genetics in Stroke Risk and Outcome: A Review of Current Evidence.Brain and behavior · 2025Pooled it
- Associations between sleep duration and cardiovascular diseases: A meta-review and meta-analysis of observational and Mendelian randomization studies.Frontiers in cardiovascular medicine · 2022Pooled it
- Genetic basis of lacunar stroke: a pooled analysis of individual patient data and genome-wide association studies.The Lancet. Neurology · 2021Pooled it
- Association of physical activity, sedentary behaviours and sleep duration with cardiovascular diseases and lipid profiles: a Mendelian randomization analysis.Lipids in health and disease · 2020Pooled it
- Inherited Thrombophilia and the Risk of Arterial Ischemic Stroke: A Systematic Review and Meta-Analysis.Journal of the American Heart Association · 2019Pooled it
- A meta-analysis of the relationship between VEGFR2 polymorphisms and atherosclerotic cardiovascular diseases.Clinical cardiology · 2019Pooled it
- PATJ Low Frequency Variants Are Associated With Worse Ischemic Stroke Functional Outcome.Circulation research · 2019Pooled it
- Genetic susceptibility to cerebrovascular disease: A systematic review.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2018Pooled it
- Multi-ethnic genome-wide association study for atrial fibrillation.Nature genetics · 2018Pooled it
- DNA Methylation Analysis Identifies Loci for Blood Pressure Regulation.American journal of human genetics · 2017Pooled it
- Pooled it
- Pooled it
- Identification of additional risk loci for stroke and small vessel disease: a meta-analysis of genome-wide association studies.The Lancet. Neurology · 2016Pooled it
- Low-frequency and common genetic variation in ischemic stroke: The METASTROKE collaboration.Neurology · 2016Pooled it
- Genetic variants on chromosome 9p21 confer risks of cerebral infarction in the Chinese population: a meta-analysis.International journal of immunopathology and pharmacologyPooled it
- Variant Rs556621 on Chromosome 6p21.1 and the Risk of Ischemic Stroke in Chinese Populations: A Meta-Analysis.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisPooled it
- The relevance of rich club regions for functional outcome post-stroke is enhanced in women.Human brain mapping · 2023Trial
- Effect of Intensive Versus Standard Blood Pressure Control on Stroke Subtypes.Hypertension (Dallas, Tex. : 1979) · 2021Trial
- Trial
- Article
96 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
- Erratum issuedCorrections.2016
Authors and funding
2 authors.
Funding
Abstract
backgroundThe discovery of disease-associated loci through genome-wide association studies (GWAS) is the leading genetic approach to the identification of novel biological pathways underlying diseases in humans. Until recently, GWAS in ischaemic stroke have been limited by small sample sizes and have yielded few loci associated with ischaemic stroke. We did a large-scale GWAS to identify additional susceptibility genes for stroke and its subtypes.
methodsTo identify genetic loci associated with ischaemic stroke, we did a two-stage GWAS. In the first stage, we included 16 851 cases with state-of-the-art phenotyping data and 32 473 stroke-free controls. Cases were aged 16 to 104 years, recruited between 1989 and 2012, and subtypes of ischaemic stroke were recorded by centrally trained and certified investigators who used the web-based protocol, Causative Classification of Stroke (CCS). We constructed case-control strata by identifying samples that were genotyped on nearly identical arrays and were of similar genetic ancestral background. We cleaned and imputed data by use of dense imputation reference panels generated from whole-genome sequence data. We did genome-wide testing to identify stroke-associated loci within each stratum for each available phenotype, and we combined summary-level results using inverse variance-weighted fixed-effects meta-analysis. In the second stage, we did in-silico lookups of 1372 single nucleotide polymorphisms identified from the first stage GWAS in 20 941 cases and 364 736 unique stroke-free controls. The ischaemic stroke subtypes of these cases had previously been established with the Trial of Org 10 172 in Acute Stroke Treatment (TOAST) classification system, in accordance with local standards. Results from the two stages were then jointly analysed in a final meta-analysis.
findingsWe identified a novel locus (G allele at rs12122341) at 1p13.2 near TSPAN2 that was associated with large artery atherosclerosis-related stroke (first stage odds ratio [OR] 1·21, 95% CI 1·13-1·30, p=4·50 × 10
interpretationOur results suggest that all ischaemic stroke-related loci previously implicated by GWAS are subtype specific. We identified a novel gene associated with large artery atherosclerosis stroke susceptibility. Follow-up studies will be necessary to establish whether the locus near TSPAN2 can be a target for a novel therapeutic approach to stroke prevention. In view of the subtype-specificity of the associations detected, the rich phenotyping data available in the Stroke Genetics Network (SiGN) are likely to be crucial for further genetic discoveries related to ischaemic stroke.
fundingUS National Institute of Neurological Disorders and Stroke, National Institutes of Health.
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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.