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Association between CYP1A1 rs4646903 T > C genetic variations and male infertility risk: A meta-analysis

BACKGROUND: Number of studies have been performed to investigate the relationship between the CYP1A1 rs4646903 polymorphism and male infertility risk, but the sample size was small and the results were conflicting. A meta-analysis was performed to assess these associations. METHODS: A systematic sea...

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Autores principales: Cao, DeHong, Ren, ZhengJu, Lu, DongLiang, Liu, LiangRen, Xu, Peng, Zhang, Qin, Wei, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6709244/
https://www.ncbi.nlm.nih.gov/pubmed/31374016
http://dx.doi.org/10.1097/MD.0000000000016543
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author Cao, DeHong
Ren, ZhengJu
Lu, DongLiang
Liu, LiangRen
Xu, Peng
Zhang, Qin
Wei, Qiang
author_facet Cao, DeHong
Ren, ZhengJu
Lu, DongLiang
Liu, LiangRen
Xu, Peng
Zhang, Qin
Wei, Qiang
author_sort Cao, DeHong
collection PubMed
description BACKGROUND: Number of studies have been performed to investigate the relationship between the CYP1A1 rs4646903 polymorphism and male infertility risk, but the sample size was small and the results were conflicting. A meta-analysis was performed to assess these associations. METHODS: A systematic search was conducted to identify all relevant studies from Medline, Web of science, Embase, China biology medical literature database (CBM), China National Knowledge Infrastructure (CNKI), WanFang and Weipu (VIP) databases up to June 30, 2018. The odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to assess the strength of associations. All of the statistical analyses were conducted using Revman 5.3 and Stata 14.0. RESULTS: Ten studies involved 3028 cases and 3258 controls. Overall, significant association was observed between the CYP1A1 rs4646903 polymorphism and male infertility (C vs T: OR = 1.42, 95%CI = 1.14–1.76; CC vs TT: OR = 2.13, 95%CI = 1.36–3.34; CC vs CT+TT: OR = 1.96, 95%CI = 1.30–2.95; CC+CT vs TT: OR = 1.51, 95%CI = 1.16–1.97). In subgroup analysis by ethnic group, a statistically significant association was observed in Asians (C vs T: OR = 1.59, 95%CI = 1.22–2.08), but not in Non-Asians (C vs T: OR = 1.01, 95%CI = 0.79–1.30). Additionally, none of the individual studies significantly affected the association between CYP1A1 rs4646903 polymorphism and male infertility, according to sensitivity analysis. CONCLUSION: Our meta-analysis supports that the CYP1A1 rs4646903 polymorphism might contribute to individual susceptibility to male infertility in Asians.
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spelling pubmed-67092442019-10-01 Association between CYP1A1 rs4646903 T > C genetic variations and male infertility risk: A meta-analysis Cao, DeHong Ren, ZhengJu Lu, DongLiang Liu, LiangRen Xu, Peng Zhang, Qin Wei, Qiang Medicine (Baltimore) Research Article BACKGROUND: Number of studies have been performed to investigate the relationship between the CYP1A1 rs4646903 polymorphism and male infertility risk, but the sample size was small and the results were conflicting. A meta-analysis was performed to assess these associations. METHODS: A systematic search was conducted to identify all relevant studies from Medline, Web of science, Embase, China biology medical literature database (CBM), China National Knowledge Infrastructure (CNKI), WanFang and Weipu (VIP) databases up to June 30, 2018. The odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to assess the strength of associations. All of the statistical analyses were conducted using Revman 5.3 and Stata 14.0. RESULTS: Ten studies involved 3028 cases and 3258 controls. Overall, significant association was observed between the CYP1A1 rs4646903 polymorphism and male infertility (C vs T: OR = 1.42, 95%CI = 1.14–1.76; CC vs TT: OR = 2.13, 95%CI = 1.36–3.34; CC vs CT+TT: OR = 1.96, 95%CI = 1.30–2.95; CC+CT vs TT: OR = 1.51, 95%CI = 1.16–1.97). In subgroup analysis by ethnic group, a statistically significant association was observed in Asians (C vs T: OR = 1.59, 95%CI = 1.22–2.08), but not in Non-Asians (C vs T: OR = 1.01, 95%CI = 0.79–1.30). Additionally, none of the individual studies significantly affected the association between CYP1A1 rs4646903 polymorphism and male infertility, according to sensitivity analysis. CONCLUSION: Our meta-analysis supports that the CYP1A1 rs4646903 polymorphism might contribute to individual susceptibility to male infertility in Asians. Wolters Kluwer Health 2019-08-02 /pmc/articles/PMC6709244/ /pubmed/31374016 http://dx.doi.org/10.1097/MD.0000000000016543 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle Research Article
Cao, DeHong
Ren, ZhengJu
Lu, DongLiang
Liu, LiangRen
Xu, Peng
Zhang, Qin
Wei, Qiang
Association between CYP1A1 rs4646903 T > C genetic variations and male infertility risk: A meta-analysis
title Association between CYP1A1 rs4646903 T > C genetic variations and male infertility risk: A meta-analysis
title_full Association between CYP1A1 rs4646903 T > C genetic variations and male infertility risk: A meta-analysis
title_fullStr Association between CYP1A1 rs4646903 T > C genetic variations and male infertility risk: A meta-analysis
title_full_unstemmed Association between CYP1A1 rs4646903 T > C genetic variations and male infertility risk: A meta-analysis
title_short Association between CYP1A1 rs4646903 T > C genetic variations and male infertility risk: A meta-analysis
title_sort association between cyp1a1 rs4646903 t > c genetic variations and male infertility risk: a meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6709244/
https://www.ncbi.nlm.nih.gov/pubmed/31374016
http://dx.doi.org/10.1097/MD.0000000000016543
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