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

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Title: 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
Authors: Pradeep Kumar, Shubham Misra, Amit Kumar, Mohammad Faruq, Sunil Shakya, Gyan Vardhan, Subiah Vivekanandhan, Achal Kumar Srivastava, Kameshwar Prasad
Source: Annals of Indian Academy of Neurology, Vol 20, Iss 1, Pp 5-12 (2017)
Publisher Information: Wolters Kluwer Medknow Publications, 2017.
Publication Year: 2017
Collection: LCC:Neurology. Diseases of the nervous system
Subject Terms: Cytokine, inflammatory gene, ischemic stroke, single nucleotide polymorphisms, transforming growth factor beta, Neurology. Diseases of the nervous system, RC346-429
More Details: 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.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 0972-2327
1998-3549
Relation: http://www.annalsofian.org/article.asp?issn=0972-2327;year=2017;volume=20;issue=1;spage=5;epage=12;aulast=Kumar; https://doaj.org/toc/0972-2327; https://doaj.org/toc/1998-3549
DOI: 10.4103/0972-2327.199910
Access URL: https://doaj.org/article/338bfab31372454da379e09d4e109634
Accession Number: edsdoj.338bfab31372454da379e09d4e109634
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  Data: 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
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  Data: Annals of Indian Academy of Neurology, Vol 20, Iss 1, Pp 5-12 (2017)
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  Data: 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&lt; 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&#39; =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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