BackgroundStroke is one of the commonest causes of mortality in the world and anticipated to be an increasing burden to the developing world. Stroke has a genetic basis and identifying those genes may not only help us define the mechanisms that cause stroke but also identify novel therapeutic targets. However, large scale highly phenotyped DNA repositories are required in order for this to be achieved.MethodsThe proposed Bio-Repository of DNA in Stroke (BRAINS) will recruit all subtypes of stroke as well as controls from two different continents, Europe and Asia. Subjects recruited from the UK will include stroke patients of European ancestry as well as British South Asians. Stroke subjects from South Asia will be recruited from India and Sri Lanka. South Asian cases will also have control subjects recruited.DiscussionWe describe a study protocol to establish a large and highly characterized stroke biobank in those of European and South Asian descent. With different ethnic populations being recruited, BRAINS has the ability to compare and contrast genetic risk factors between those of differing ancestral descent as well as those who migrate into different environments.
Objective:To undertake a genomewide association study (GWAS) to identify genetic variants for stroke in Indians.Methods:In a hospital-based case-control study, eight teaching hospitals in India recruited 4,088 subjects, including 1,609 stroke cases. Imputed genetic variants were tested for association with stroke subtypes using both single-marker and gene-based tests. Association with vascular risk factors was performed using logistic regression. Various databases were searched for replication, functional annotation, and association with related traits. Status of candidate genes previously reported in the Indian population was also checked.Results:Association of vascular risk factors with stroke were similar to previous reports, and show modifiable risk factors like hypertension, smoking, and alcohol consumption having the highest effect. Single-marker based association revealed two loci for cardioembolic stroke (1p21 and 16q24), two for small vessel disease stroke (3p26 and 16p13), and four for hemorrhagic stroke (3q24, 5q33, 6q13, and 19q13) at P<5×10-8. The index SNP of 1p21 is an eQTL (Plowest=1.74×10-58) for RWDD3 involved in SUMOlation and is associated with platelet distribution width (1.15×10-9) and 18-carbon fatty acid metabolism (P=7.36×10-12). In gene-based analysis we identified three genes (SLC17A2, FAM73A and OR52L1) at P<2.7×10-6. 11 of 32 candidate gene loci studied in Indians replicated (P<0.05), and 21 of 32 loci identified through previous GWAS replicated based on directionality of effect.Conclusions:This first GWAS of stroke in Indians identified novel loci and replicated previously known loci. For the first time, genetic variants in the SUMOlation pathway which has been implicated in brain ischemia were identified.
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