Literature DB >> 28878336

Effect of GnRHR polymorphisms on in vitro fertilization and embryo transfer in patients with polycystic ovary syndrome.

Wei-Yan Chen1, Yan-Qiu Du2, Xia Guan3, Hong-Yun Zhang3, Ting Liu1.   

Abstract

We investigated the relationship between gonadotropin-releasing hormone receptor (GnRHR) gene polymorphisms and outcome of patients with polycystic ovary syndrome (PCOS) undergoing in vitro fertilization and embryo transfer (IVF-ET). PCOS patients undergoing IVF-ET were selected, and infertile patients due to dysfunctional oviducts served as controls. GnRHR gene polymorphisms were detected using the polymerase chain reaction-restriction fragment length polymorphism assay. Gene-gene interaction and linkage disequilibrium tests were performed using the SHEsis software. Logistic regression analysis was performed to evaluate factors affecting outcome of patients undergoing IVF-ET. The PCOS group showed more patients with CC+CT genotypes rs12644822, rs3756159 and rs13138607 than the control group, and CC+CT genotypes and C alleles from three positions enhanced risk of PCOS. Patients with CC+CT genotypes from three positions exhibited increased serum luteinizing hormone (LH), LH/follicle-stimulating hormone (FSH), testosterone (T) and follicles than those with TT genotypes. The haplotype analysis indicated that CCC, CCT and TCC haplotypes increased the risk of PCOS, while TCT, TTC and TTT haplotypes lowered the risk. After IVF-ET treatment, patients with CC+CT genotypes of three positions in the GnRHR gene had a lower pregnancy rate than patients with TT genotypes. Logistic regression analysis indicated that CC+CT genotypes rs12644822, rs3756159 and rs13138607 were risk factor for patients undergoing IVF-ET. In conclusion, these findings demonstrate that CC+CT genotypes rs12644822C>T, rs3756159C>T and rs13138607C>T in the GnRHR gene may contribute to a decreased pregnancy rate for PCOS patients after IVF-ET.

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Year:  2017        PMID: 28878336     DOI: 10.1038/jhg.2017.85

Source DB:  PubMed          Journal:  J Hum Genet        ISSN: 1434-5161            Impact factor:   3.172


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