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Int. J. Mol. Sci. 2015, 16(2), 2403-2425; doi:10.3390/ijms16022403

The Association between Polymorphism of INSR and Polycystic Ovary Syndrome: A Meta-Analysis

1
Department of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310006, China
2
Department of Reproductive Endocrinology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
3
Department of Orthopedics, the First Affiliated Hospital of Zhejiang Chinese Medicine University, Hangzhou 310018, China
4
Department of Biomedical Sciences, School of Medicine, Mercer University, Savannah, GA 31404, USA
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Hefeng Huang
Received: 10 November 2014 / Revised: 31 December 2014 / Accepted: 13 January 2015 / Published: 22 January 2015
(This article belongs to the Special Issue Advances in Reproductive Biology)
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Abstract

Polycystic ovary syndrome (PCOS) is the most common gynecological endocrine disorder. The genetic background is believed to play a crucial role in the pathogenesis of PCOS. In recent years, the role of insulin receptor (INSR) polymorphisms in PCOS predisposition has attracted much attention. We performed a meta-analysis to investigate the association between the single nucleotide polymorphisms (SNPs) of INSR and PCOS. Published literature from Pubmed, Embase, and Cochrane CENTRAL was retrieved up until 7 August 2014. A total of 20 case-control studies including 23,845 controls and 17,460 PCOS cases with an average Newcastle-Ottawa quality assessment scale (NOS) score of 6.75 were analyzed. Ninety-eight SNPs distributed in 23 exons and the flanking regions of INSR were investigated, among which 17 SNPs were found to be associated with PCOS. Three SNPs detected in more than three studies were selected for further analyses. Twelve studies including 1158 controls and 1264 PCOS cases entered the analysis of rs1799817, but no significant association was found for every genotype (p > 0.05). Further subgroup stratification by ethnicity and weight did not lead to discovery of significant correlation (p > 0.05). For rs2059806, four studies including 442 controls and 524 PCOS cases were qualified for meta-analysis, and no significant association with PCOS was found for any genotype (p > 0.05). Four studies including 12,830 controls and 11,683 PCOS cases investigated the correlation between rs2059807 and PCOS, and five of the six cohorts indicated a significant impact. Our current meta-analysis suggests no significant correlation between rs1799817/rs2059806 SNPs and susceptibility of PCOS, while rs2059807 could be a promising candidate SNP that might be involved in the susceptibility of PCOS. View Full-Text
Keywords: single nucleotide polymorphism (SNP); insulin receptor gene (INSR); polycystic ovary syndrome (PCOS); meta-analysis single nucleotide polymorphism (SNP); insulin receptor gene (INSR); polycystic ovary syndrome (PCOS); meta-analysis
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MDPI and ACS Style

Feng, C.; Lv, P.-P.; Yu, T.-T.; Jin, M.; Shen, J.-M.; Wang, X.; Zhou, F.; Jiang, S.-W. The Association between Polymorphism of INSR and Polycystic Ovary Syndrome: A Meta-Analysis. Int. J. Mol. Sci. 2015, 16, 2403-2425.

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