Annals of Indian Academy of Neurology
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ORIGINAL ARTICLE
Year : 2017  |  Volume : 20  |  Issue : 1  |  Page : 5-12

Transforming growth factor-β1 (C509T, G800A, and T869C) gene polymorphisms and risk of ischemic stroke in North Indian population: A hospital-based case-control study


1 Department of Neurology, All Institute of Medical Sciences, New Delhi, India
2 Department of Functional Genomics, Institutes of Genomics and Integrative Biology, New Delhi, India
3 Department of Neurobiochemistry, All Institute of Medical Sciences, New Delhi, India

Correspondence Address:
Kameshwar Prasad
Department of Neurology, Neurosciences Centre, All India Institute of Medical Sciences, Room No. 702, 7th Floor, Ansari Nagar, New Delhi
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0972-2327.199910

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Background: Transforming growth factor-beta 1 (TGF-β1) is a multifunctional pleiotropic cytokine involved in inflammation and pathogenesis of cerebrovascular diseases. There is limited information on the association between variations within the TGF-β1 gene polymorphisms and risk of ischemic stroke (IS). The aim of this study was to investigate the association of the TGF-β1 gene (C509T, G800A, and T869C) polymorphisms, and their haplotypes with the risk of IS in North Indian population. Methods: A total of 250 IS patients and 250 age- and sex-matched controls were studied. IS was classified using the Trial of Org 10172 in Acute Stroke Treatment classification. Conditional logistic regression analysis was used to calculate the strength of association between TGF-β1 gene polymorphisms and risk of IS. Genotyping was performed using SNaPshot method. Results: Hypertension, diabetes, dyslipidemia, alcohol, smoking, family history of stroke, sedentary lifestyle, and low socioeconomic status were found to be associated with the risk of IS. The distribution of C509T, G800A and T869C genotypes was consistent with Hardy-Weinberg Equilibrium in the IS and control groups. Adjusted conditional logistic regression analysis showed a significant association of TGF-β1 C509T (odds ratio [OR], 2.1; 95% CI; 1.2–3.8;P= 0.006), G800A (OR, 4.4; 95% CI; 2.1–9.3;P< 0.001) and T869C (OR, 2.6; 95% CI; 1.5–4.5;P= 0.001) with the risk of IS under dominant model. Haplotype analysis showed that C509-A800-T869 and T509-G800-C869 haplotypes were significantly associated with the increased risk of IS. C509T and T869C were in strong linkage disequilibrium (D' =0.51, r2 = 0.23). Conclusion: Our results suggest that TGF-β1 polymorphisms and their haplotypes are significantly associated with the risk of IS in North Indian population.


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