ArticleStroke2023
A Genomic Risk Score Identifies Individuals at High Risk for Intracerebral Hemorrhage.
Article in Stroke, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Genetics of intracerebral hemorrhage.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026Review
- Predisposing Factors, Pathologies, and Precipitating Factors Causing Intracerebral Hemorrhage.Stroke · 2026Review
- Evaluation of Machine Learning and Traditional Statistical Models to Assess the Value of Stroke Genetic Liability for Prediction of Risk of Stroke Within the UK Biobank.Healthcare (Basel, Switzerland) · 2025Article
- Polygenic score integrating neurodegenerative and vascular risk informs dementia risk stratification.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Predicting Short-Term Risk of Cardiovascular Events in the Elderly Population: A Retrospective Study in Shanghai, China.Clinical interventions in aging · 2025Article
- Joint impact of polygenic risk score and lifestyles on early- and late-onset cardiovascular diseases.Nature human behaviour · 2024Article
- Article
- Genetic Risk Score Improves Risk Stratification for Anticoagulation-Related Intracerebral Hemorrhage.Stroke · 2023Article
Corrections and comments
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Authors and funding
13 authors at 7 institutions in 3 countries.
Funding
Abstract
backgroundIntracerebral hemorrhage (ICH) has an estimated heritability of 29%. We developed a genomic risk score for ICH and determined its predictive power in comparison to standard clinical risk factors.
methodsWe combined genome-wide association data from individuals of European ancestry for ICH and related traits in a meta-genomic risk score ([metaGRS]; 2.6 million variants). We tested associations with ICH and its predictive performance in addition to clinical risk factors in a held-out validation dataset (842 cases and 796 controls). We tested associations with risk of incident ICH in the population-based UK Biobank cohort (486 784 individuals, 1526 events, median follow-up 11.3 years).
resultsOne SD increment in the metaGRS was significantly associated with 31% higher odds for ICH (95% CI, 1.16-1.48) in age-, sex- and clinical risk factor-adjusted models. The metaGRS identified individuals with almost 5-fold higher odds for ICH in the top score percentile (odds ratio, 4.83 [95% CI, 1.56-21.2]). Predictive models for ICH incorporating the metaGRS in addition to clinical predictors showed superior performance compared to the clinical risk factors alone (c-index, 0.695 versus 0.686). The metaGRS showed similar associations for lobar and nonlobar ICH, independent of the known
conclusionsWe developed and validated a genomic risk score that predicts lifetime risk of ICH beyond established clinical risk factors among individuals of European ancestry. Whether implementation of the score in risk prognostication models for high-risk populations, such as patients under antithrombotic treatment, could improve clinical decision making should be explored in future studies.
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Registered trials
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