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Polymorphism of CONNEXIN37 gene is a risk factor for ischemic stroke in Han Chinese population
BACKGROUND: Stroke has a high fatality and disability rate, and is one of the main burdens to human health. It is thus very important to identify biomarkers for the development of effective approaches for the prevention and treatment of stroke. Connexin37 is an anti-inflammatory cytokine and is invo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5891898/ https://www.ncbi.nlm.nih.gov/pubmed/29631604 http://dx.doi.org/10.1186/s12944-018-0727-3 |
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author | Li, Hong Yu, Shasha Wang, Rui Sun, Zhaoqing Zhou, Xinghu Zheng, Liqiang Yin, Zhihua Sun, Yingxian |
author_facet | Li, Hong Yu, Shasha Wang, Rui Sun, Zhaoqing Zhou, Xinghu Zheng, Liqiang Yin, Zhihua Sun, Yingxian |
author_sort | Li, Hong |
collection | PubMed |
description | BACKGROUND: Stroke has a high fatality and disability rate, and is one of the main burdens to human health. It is thus very important to identify biomarkers for the development of effective approaches for the prevention and treatment of stroke. Connexin37 is an anti-inflammatory cytokine and is involved in chronic inflammation and atherosclerosis. Recent studies have found that CONNEXIN37 gene variations are associated with atherosclerosis diseases, such as coronary heart disease and stroke, but its association with stroke in distinct human populations remains to be determined. We report here the analysis of the association of the single nucleotide polymorphisms (SNPs) of CONNEXIN37 with ischemic stroke in Han Chinese population. METHODS: Two SNPs of CONNEXIN37 gene were analyzed in 385 ischemic stroke patients and 362 hypertension control patients using ligase detection reaction (LDR) method. RESULTS: Logistic regression analysis demonstrated that, AG and GG genotypes of SNP rs1764390 and CC genotype of rs1764391 of CONNEXIN37 were associated with an increased risk of ischemic stroke, and that G allele of rs1764390 is a risk factor for ischemic stroke. Further, we found that SNP rs1764390 and SNP rs1764391 in CONNEXIN37 were associated with ischemic stroke under additive/dominant model, and recessive/dominant model, respectively. CONCLUSION: Our results indicate that CONNEXIN37 gene polymorphism is an ischemic stroke risk factor in Northern Han Chinese. |
format | Online Article Text |
id | pubmed-5891898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58918982018-04-11 Polymorphism of CONNEXIN37 gene is a risk factor for ischemic stroke in Han Chinese population Li, Hong Yu, Shasha Wang, Rui Sun, Zhaoqing Zhou, Xinghu Zheng, Liqiang Yin, Zhihua Sun, Yingxian Lipids Health Dis Research BACKGROUND: Stroke has a high fatality and disability rate, and is one of the main burdens to human health. It is thus very important to identify biomarkers for the development of effective approaches for the prevention and treatment of stroke. Connexin37 is an anti-inflammatory cytokine and is involved in chronic inflammation and atherosclerosis. Recent studies have found that CONNEXIN37 gene variations are associated with atherosclerosis diseases, such as coronary heart disease and stroke, but its association with stroke in distinct human populations remains to be determined. We report here the analysis of the association of the single nucleotide polymorphisms (SNPs) of CONNEXIN37 with ischemic stroke in Han Chinese population. METHODS: Two SNPs of CONNEXIN37 gene were analyzed in 385 ischemic stroke patients and 362 hypertension control patients using ligase detection reaction (LDR) method. RESULTS: Logistic regression analysis demonstrated that, AG and GG genotypes of SNP rs1764390 and CC genotype of rs1764391 of CONNEXIN37 were associated with an increased risk of ischemic stroke, and that G allele of rs1764390 is a risk factor for ischemic stroke. Further, we found that SNP rs1764390 and SNP rs1764391 in CONNEXIN37 were associated with ischemic stroke under additive/dominant model, and recessive/dominant model, respectively. CONCLUSION: Our results indicate that CONNEXIN37 gene polymorphism is an ischemic stroke risk factor in Northern Han Chinese. BioMed Central 2018-04-10 /pmc/articles/PMC5891898/ /pubmed/29631604 http://dx.doi.org/10.1186/s12944-018-0727-3 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Li, Hong Yu, Shasha Wang, Rui Sun, Zhaoqing Zhou, Xinghu Zheng, Liqiang Yin, Zhihua Sun, Yingxian Polymorphism of CONNEXIN37 gene is a risk factor for ischemic stroke in Han Chinese population |
title | Polymorphism of CONNEXIN37 gene is a risk factor for ischemic stroke in Han Chinese population |
title_full | Polymorphism of CONNEXIN37 gene is a risk factor for ischemic stroke in Han Chinese population |
title_fullStr | Polymorphism of CONNEXIN37 gene is a risk factor for ischemic stroke in Han Chinese population |
title_full_unstemmed | Polymorphism of CONNEXIN37 gene is a risk factor for ischemic stroke in Han Chinese population |
title_short | Polymorphism of CONNEXIN37 gene is a risk factor for ischemic stroke in Han Chinese population |
title_sort | polymorphism of connexin37 gene is a risk factor for ischemic stroke in han chinese population |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5891898/ https://www.ncbi.nlm.nih.gov/pubmed/29631604 http://dx.doi.org/10.1186/s12944-018-0727-3 |
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