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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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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. |
format | Online Article Text |
id | pubmed-7465724 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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