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GST null polymorphisms may affect the risk of coronary artery disease: evidence from a meta-analysis

BACKGROUND: Whether glutathione S-transferase (GST) null polymorphisms, namely GSTM1 null, GSTP1 null and GSTT1 null polymorphisms, influence the risk of coronary artery disease (CAD) or not remains unclear. Thus, the authors performed a meta-analysis to more robustly estimate associations between G...

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Autores principales: Su, Hongling, Cao, Yunshan, Li, Jing, Zhu, Yan, Ma, Xuming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7465724/
https://www.ncbi.nlm.nih.gov/pubmed/32905149
http://dx.doi.org/10.1186/s12959-020-00234-x
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author Su, Hongling
Cao, Yunshan
Li, Jing
Zhu, Yan
Ma, Xuming
author_facet Su, Hongling
Cao, Yunshan
Li, Jing
Zhu, Yan
Ma, Xuming
author_sort Su, Hongling
collection PubMed
description BACKGROUND: Whether glutathione S-transferase (GST) null polymorphisms, namely GSTM1 null, GSTP1 null and GSTT1 null polymorphisms, influence the risk of coronary artery disease (CAD) or not remains unclear. Thus, the authors performed a meta-analysis to more robustly estimate associations between GST null polymorphisms and the risk of CAD by integrating the results of previous publications. METHODS: Medline, Embase, Wanfang, VIP and CNKI were searched comprehensively for eligible studies, and 45 genetic association studies were finally selected to be included in this meta-analysis. RESULTS: We found that GSTM1 null polymorphism was significantly associated with the risk of CAD in overall population (OR = 1.37, p = 0.003) and mixed population (OR = 1.61, p = 0.004), GSTP1 null polymorphism was significantly associated with the risk of CAD in overall population (OR = 1.23, p = 0.03), whereas GSTT1 null polymorphism was significantly associated with the risk of CAD in overall population (OR = 1.23, p = 0.02), Caucasians (OR = 1.23, p = 0.02) and East Asians (OR = 1.38, p < 0.0001). CONCLUSIONS: This meta-analysis demonstrated that GSTM1 null, GSTP1 null and GSTT1 null polymorphisms were all significantly associated with an increased risk of CAD.
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spelling pubmed-74657242020-09-03 GST null polymorphisms may affect the risk of coronary artery disease: evidence from a meta-analysis Su, Hongling Cao, Yunshan Li, Jing Zhu, Yan Ma, Xuming Thromb J Research BACKGROUND: Whether glutathione S-transferase (GST) null polymorphisms, namely GSTM1 null, GSTP1 null and GSTT1 null polymorphisms, influence the risk of coronary artery disease (CAD) or not remains unclear. Thus, the authors performed a meta-analysis to more robustly estimate associations between GST null polymorphisms and the risk of CAD by integrating the results of previous publications. METHODS: Medline, Embase, Wanfang, VIP and CNKI were searched comprehensively for eligible studies, and 45 genetic association studies were finally selected to be included in this meta-analysis. RESULTS: We found that GSTM1 null polymorphism was significantly associated with the risk of CAD in overall population (OR = 1.37, p = 0.003) and mixed population (OR = 1.61, p = 0.004), GSTP1 null polymorphism was significantly associated with the risk of CAD in overall population (OR = 1.23, p = 0.03), whereas GSTT1 null polymorphism was significantly associated with the risk of CAD in overall population (OR = 1.23, p = 0.02), Caucasians (OR = 1.23, p = 0.02) and East Asians (OR = 1.38, p < 0.0001). CONCLUSIONS: This meta-analysis demonstrated that GSTM1 null, GSTP1 null and GSTT1 null polymorphisms were all significantly associated with an increased risk of CAD. BioMed Central 2020-09-01 /pmc/articles/PMC7465724/ /pubmed/32905149 http://dx.doi.org/10.1186/s12959-020-00234-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research
Su, Hongling
Cao, Yunshan
Li, Jing
Zhu, Yan
Ma, Xuming
GST null polymorphisms may affect the risk of coronary artery disease: evidence from a meta-analysis
title GST null polymorphisms may affect the risk of coronary artery disease: evidence from a meta-analysis
title_full GST null polymorphisms may affect the risk of coronary artery disease: evidence from a meta-analysis
title_fullStr GST null polymorphisms may affect the risk of coronary artery disease: evidence from a meta-analysis
title_full_unstemmed GST null polymorphisms may affect the risk of coronary artery disease: evidence from a meta-analysis
title_short GST null polymorphisms may affect the risk of coronary artery disease: evidence from a meta-analysis
title_sort gst null polymorphisms may affect the risk of coronary artery disease: evidence from a meta-analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7465724/
https://www.ncbi.nlm.nih.gov/pubmed/32905149
http://dx.doi.org/10.1186/s12959-020-00234-x
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