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
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 |
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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 |
Database: | Directory of Open Access Journals |
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Diseases of the nervous system – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Cytokine%22">Cytokine</searchLink><br /><searchLink fieldCode="DE" term="%22inflammatory+gene%22">inflammatory gene</searchLink><br /><searchLink fieldCode="DE" term="%22ischemic+stroke%22">ischemic stroke</searchLink><br /><searchLink fieldCode="DE" term="%22single+nucleotide+polymorphisms%22">single nucleotide polymorphisms</searchLink><br /><searchLink fieldCode="DE" term="%22transforming+growth+factor+beta%22">transforming growth factor beta</searchLink><br /><searchLink fieldCode="DE" term="%22Neurology%2E+Diseases+of+the+nervous+system%22">Neurology. Diseases of the nervous system</searchLink><br /><searchLink fieldCode="DE" term="%22RC346-429%22">RC346-429</searchLink> – Name: Abstract Label: Description Group: Ab 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< 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. – Name: TypeDocument Label: Document Type Group: TypDoc Data: article – Name: Format Label: File Description Group: SrcInfo Data: electronic resource – Name: Language Label: Language Group: Lang Data: English – Name: ISSN Label: ISSN Group: ISSN Data: 0972-2327<br />1998-3549 – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: 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 – Name: DOI Label: DOI Group: ID Data: 10.4103/0972-2327.199910 – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="https://doaj.org/article/338bfab31372454da379e09d4e109634" linkWindow="_blank">https://doaj.org/article/338bfab31372454da379e09d4e109634</link> – Name: AN Label: Accession Number Group: ID Data: edsdoj.338bfab31372454da379e09d4e109634 |
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RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.4103/0972-2327.199910 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 5 Subjects: – SubjectFull: Cytokine Type: general – SubjectFull: inflammatory gene Type: general – SubjectFull: ischemic stroke Type: general – SubjectFull: single nucleotide polymorphisms Type: general – SubjectFull: transforming growth factor beta Type: general – SubjectFull: Neurology. Diseases of the nervous system Type: general – SubjectFull: RC346-429 Type: general Titles: – TitleFull: 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 Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pradeep Kumar – PersonEntity: Name: NameFull: Shubham Misra – PersonEntity: Name: NameFull: Amit Kumar – PersonEntity: Name: NameFull: Mohammad Faruq – PersonEntity: Name: NameFull: Sunil Shakya – PersonEntity: Name: NameFull: Gyan Vardhan – PersonEntity: Name: NameFull: Subiah Vivekanandhan – PersonEntity: Name: NameFull: Achal Kumar Srivastava – PersonEntity: Name: NameFull: Kameshwar Prasad IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 09722327 – Type: issn-print Value: 19983549 Numbering: – Type: volume Value: 20 – Type: issue Value: 1 Titles: – TitleFull: Annals of Indian Academy of Neurology Type: main |
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