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The Association of CYP17A1, CYP19A1, and SHBG Gene Polymorphisms in Polycystic Ovary Syndrome Susceptibility: A Systematic Review and Meta-Analysis
Objective: To elucidate the relationship between CYP17A1/CYP19A1/SHBG gene polymorphisms and PCOS susceptibility. Methods: We searched multiple databases from inception to December 2020 and meta analysis was conducted to elucidate the relationship between gene polymorphisms and PCOS risk. Results: 2...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124751/ https://www.ncbi.nlm.nih.gov/pubmed/35615684 http://dx.doi.org/10.3389/fphys.2022.741285 |
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author | Xing, Chuan Zhao, Han Zhang, Jiaqi He, Bing |
author_facet | Xing, Chuan Zhao, Han Zhang, Jiaqi He, Bing |
author_sort | Xing, Chuan |
collection | PubMed |
description | Objective: To elucidate the relationship between CYP17A1/CYP19A1/SHBG gene polymorphisms and PCOS susceptibility. Methods: We searched multiple databases from inception to December 2020 and meta analysis was conducted to elucidate the relationship between gene polymorphisms and PCOS risk. Results: 26 studies were included, comprising 4860 PCOS and 4043 controls. CYP17A1 rs743572 polymorphisms were found to be negatively associated with PCOS risk under dominant model (p = 0.017, OR = 0.83, 95%CI 0.72–0.97, I ( 2 ) = 74.80%, P ( heterogeneity ) = 0.000) in the general population while neither CYP19A1 rs2414096 polymorphisms (p = 0.578, OR = 0.87, 95%CI 0.54–1.41, I ( 2 ) = 95.90%, P ( heterogeneity ) = 0.000) nor SHBG rs6529 polymorphisms (p = 0.752, OR = 0.99, 95%CI 0.94–1.05, I ( 2 ) = 60.90%, P ( heterogeneity ) = 0.012) was associated with PCOS susceptibility under dominant model in the general population. Conclusion: CYP17A1 rs7435721 polymorphisms might be protective factors against PCOS in general populations. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/#myprospero, identifier CRD4202122640. |
format | Online Article Text |
id | pubmed-9124751 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91247512022-05-24 The Association of CYP17A1, CYP19A1, and SHBG Gene Polymorphisms in Polycystic Ovary Syndrome Susceptibility: A Systematic Review and Meta-Analysis Xing, Chuan Zhao, Han Zhang, Jiaqi He, Bing Front Physiol Physiology Objective: To elucidate the relationship between CYP17A1/CYP19A1/SHBG gene polymorphisms and PCOS susceptibility. Methods: We searched multiple databases from inception to December 2020 and meta analysis was conducted to elucidate the relationship between gene polymorphisms and PCOS risk. Results: 26 studies were included, comprising 4860 PCOS and 4043 controls. CYP17A1 rs743572 polymorphisms were found to be negatively associated with PCOS risk under dominant model (p = 0.017, OR = 0.83, 95%CI 0.72–0.97, I ( 2 ) = 74.80%, P ( heterogeneity ) = 0.000) in the general population while neither CYP19A1 rs2414096 polymorphisms (p = 0.578, OR = 0.87, 95%CI 0.54–1.41, I ( 2 ) = 95.90%, P ( heterogeneity ) = 0.000) nor SHBG rs6529 polymorphisms (p = 0.752, OR = 0.99, 95%CI 0.94–1.05, I ( 2 ) = 60.90%, P ( heterogeneity ) = 0.012) was associated with PCOS susceptibility under dominant model in the general population. Conclusion: CYP17A1 rs7435721 polymorphisms might be protective factors against PCOS in general populations. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/#myprospero, identifier CRD4202122640. Frontiers Media S.A. 2022-05-09 /pmc/articles/PMC9124751/ /pubmed/35615684 http://dx.doi.org/10.3389/fphys.2022.741285 Text en Copyright © 2022 Xing, Zhao, Zhang and He. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Xing, Chuan Zhao, Han Zhang, Jiaqi He, Bing The Association of CYP17A1, CYP19A1, and SHBG Gene Polymorphisms in Polycystic Ovary Syndrome Susceptibility: A Systematic Review and Meta-Analysis |
title | The Association of CYP17A1, CYP19A1, and SHBG Gene Polymorphisms in Polycystic Ovary Syndrome Susceptibility: A Systematic Review and Meta-Analysis |
title_full | The Association of CYP17A1, CYP19A1, and SHBG Gene Polymorphisms in Polycystic Ovary Syndrome Susceptibility: A Systematic Review and Meta-Analysis |
title_fullStr | The Association of CYP17A1, CYP19A1, and SHBG Gene Polymorphisms in Polycystic Ovary Syndrome Susceptibility: A Systematic Review and Meta-Analysis |
title_full_unstemmed | The Association of CYP17A1, CYP19A1, and SHBG Gene Polymorphisms in Polycystic Ovary Syndrome Susceptibility: A Systematic Review and Meta-Analysis |
title_short | The Association of CYP17A1, CYP19A1, and SHBG Gene Polymorphisms in Polycystic Ovary Syndrome Susceptibility: A Systematic Review and Meta-Analysis |
title_sort | association of cyp17a1, cyp19a1, and shbg gene polymorphisms in polycystic ovary syndrome susceptibility: a systematic review and meta-analysis |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124751/ https://www.ncbi.nlm.nih.gov/pubmed/35615684 http://dx.doi.org/10.3389/fphys.2022.741285 |
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