Association of DENND1A Gene Polymorphisms with Polycystic Ovary Syndrome: A Meta-Analysis | Zendy

Shan Bao | Zendy; Jun-Hong Cai | Zendy; Shu-Ying Yang | Zendy; Yongchao Ren | Zendy; Tian Feng | Zendy; Tianbo Jin | Zendy; Zhuo-Ri Li | Zendy

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Association of DENND1A Gene Polymorphisms with Polycystic Ovary Syndrome: A Meta-Analysis

Author(s) -

Shan Bao,

Jun-Hong Cai,

Shu-Ying Yang,

Yongchao Ren,

Tian Feng,

Tianbo Jin,

Zhuo-Ri Li

Publication year - 2016

Publication title -

journal of clinical research in pediatric endocrinology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.566

H-Index - 35

eISSN - 1308-5735

pISSN - 1308-5727

DOI - 10.4274/jcrpe.2259

Subject(s) - polycystic ovary , meta analysis , odds ratio , medicine , genetic model , allele , genotype , genetic association , confidence interval , polymorphism (computer science) , oncology , case control study , bioinformatics , genetics , single nucleotide polymorphism , gene , biology , obesity , insulin resistance

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.

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