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Association of DENND1A Gene Polymorphisms with Polycystic Ovary Syndrome: A Meta-Analysis
Objective: The rs2479106 and rs10818854 polymorphisms in the DENND1A gene have been reported to be extensively associated with risk of polycystic ovary syndrome (PCOS). However, the results from these studies remained inconclusive and conflicting. To detect a true association of rs2479106 and rs1081...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Galenos Publishing
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5096467/ https://www.ncbi.nlm.nih.gov/pubmed/26757598 http://dx.doi.org/10.4274/jcrpe.2259 |
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author | Bao, Shan Cai, Jun-Hong Yang, Shu-Ying Ren, Yongchao Feng, Tian Jin, Tianbo Li, Zhuo-Ri |
author_facet | Bao, Shan Cai, Jun-Hong Yang, Shu-Ying Ren, Yongchao Feng, Tian Jin, Tianbo Li, Zhuo-Ri |
author_sort | Bao, Shan |
collection | PubMed |
description | Objective: The rs2479106 and rs10818854 polymorphisms in the DENND1A gene have been reported to be extensively associated with risk of polycystic ovary syndrome (PCOS). However, the results from these studies remained inconclusive and conflicting. To detect a true association of rs2479106 and rs10818854 polymorphisms with PCOS risk, a single study may be underpowered, particularly for those studies with inadequate sample size. Therefore, we performed a meta-analysis of all available studies to explore this association. Methods: All studies published up to March 2015 on the association were identified by searching electronic databases PubMed, EMBASE, Web of Science, and China National Knowledge Infrastructure. Studies containing available genotype frequencies of those 2 polymorphisms were chosen, and the odds ratios and associated 95% confidence intervals were calculated using fixed- or random- effects models. Results: A total of 8 studies about s2479106 polymorphism (8185 cases and 28675 controls) and 5 studies about rs10818854 polymorphism (6638 cases and 27443 controls) met the inclusion criteria for the meta-analysis. Overall, significant increase of PCOS risk was found between DENND1A-rs10818854 and PCOS susceptibility. In addition, we also found an increased risk of PCOS in rs2479106 allele model, heterozygote variant genetic model, and dominant genetic model. Conclusion: This meta-analysis suggested that rs2479106 and rs10818854 polymorphisms in the DENND1A gene were associated with increased risk of PCOS. To validate the association between these polymorphisms and PCOS susceptibility, further large and well-designed studies are needed. |
format | Online Article Text |
id | pubmed-5096467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Galenos Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-50964672016-11-10 Association of DENND1A Gene Polymorphisms with Polycystic Ovary Syndrome: A Meta-Analysis Bao, Shan Cai, Jun-Hong Yang, Shu-Ying Ren, Yongchao Feng, Tian Jin, Tianbo Li, Zhuo-Ri J Clin Res Pediatr Endocrinol Original Article Objective: The rs2479106 and rs10818854 polymorphisms in the DENND1A gene have been reported to be extensively associated with risk of polycystic ovary syndrome (PCOS). However, the results from these studies remained inconclusive and conflicting. To detect a true association of rs2479106 and rs10818854 polymorphisms with PCOS risk, a single study may be underpowered, particularly for those studies with inadequate sample size. Therefore, we performed a meta-analysis of all available studies to explore this association. Methods: All studies published up to March 2015 on the association were identified by searching electronic databases PubMed, EMBASE, Web of Science, and China National Knowledge Infrastructure. Studies containing available genotype frequencies of those 2 polymorphisms were chosen, and the odds ratios and associated 95% confidence intervals were calculated using fixed- or random- effects models. Results: A total of 8 studies about s2479106 polymorphism (8185 cases and 28675 controls) and 5 studies about rs10818854 polymorphism (6638 cases and 27443 controls) met the inclusion criteria for the meta-analysis. Overall, significant increase of PCOS risk was found between DENND1A-rs10818854 and PCOS susceptibility. In addition, we also found an increased risk of PCOS in rs2479106 allele model, heterozygote variant genetic model, and dominant genetic model. Conclusion: This meta-analysis suggested that rs2479106 and rs10818854 polymorphisms in the DENND1A gene were associated with increased risk of PCOS. To validate the association between these polymorphisms and PCOS susceptibility, further large and well-designed studies are needed. Galenos Publishing 2016-06 2016-06-06 /pmc/articles/PMC5096467/ /pubmed/26757598 http://dx.doi.org/10.4274/jcrpe.2259 Text en © Journal of Clinical Research in Pediatric Endocrinology, Published by Galenos Publishing. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Bao, Shan Cai, Jun-Hong Yang, Shu-Ying Ren, Yongchao Feng, Tian Jin, Tianbo Li, Zhuo-Ri Association of DENND1A Gene Polymorphisms with Polycystic Ovary Syndrome: A Meta-Analysis |
title | Association of DENND1A Gene Polymorphisms with Polycystic Ovary Syndrome: A Meta-Analysis |
title_full | Association of DENND1A Gene Polymorphisms with Polycystic Ovary Syndrome: A Meta-Analysis |
title_fullStr | Association of DENND1A Gene Polymorphisms with Polycystic Ovary Syndrome: A Meta-Analysis |
title_full_unstemmed | Association of DENND1A Gene Polymorphisms with Polycystic Ovary Syndrome: A Meta-Analysis |
title_short | Association of DENND1A Gene Polymorphisms with Polycystic Ovary Syndrome: A Meta-Analysis |
title_sort | association of dennd1a gene polymorphisms with polycystic ovary syndrome: a meta-analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5096467/ https://www.ncbi.nlm.nih.gov/pubmed/26757598 http://dx.doi.org/10.4274/jcrpe.2259 |
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