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Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke.
- Source :
-
Nature communications [Nat Commun] 2019 Dec 20; Vol. 10 (1), pp. 5819. Date of Electronic Publication: 2019 Dec 20. - Publication Year :
- 2019
-
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 (nā=ā395,393; 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.
- Subjects :
- Aged
Blood Pressure
Body Mass Index
Brain Ischemia genetics
Comorbidity
Datasets as Topic
Female
Genome-Wide Association Study
Humans
Male
Medical History Taking
Middle Aged
Polymorphism, Single Nucleotide
Predictive Value of Tests
Risk Assessment methods
Smoking epidemiology
United Kingdom epidemiology
Brain Ischemia epidemiology
Genetic Predisposition to Disease
Genomics methods
Subjects
Details
- Language :
- English
- ISSN :
- 2041-1723
- Volume :
- 10
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Nature communications
- Publication Type :
- Academic Journal
- Accession number :
- 31862893
- Full Text :
- https://doi.org/10.1038/s41467-019-13848-1