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

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Peer-reviewed

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Article

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Authors

Abraham, Gad 
Malik, Rainer 
Yonova-Doing, Ekaterina 
Salim, Agus 
Wang, Tingting 

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.

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Journal ISSN

2041-1723

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Sponsorship
British Heart Foundation (RG/13/13/30194)
Department of Health and Human Services, State Government of Victoria (Department of Health and Human Services) (Operational Infrastructure Support Program)
Department of Health | National Health and Medical Research Council (NHMRC) (ECF 1090462, CDF 1061435)
DH | National Institute for Health Research (NIHR) (Senior Investigator Award)
RCUK | Medical Research Council (MRC) (MR/L003120/1)
EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) (666881, 667375)