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Association study between the -866G/A polymorphism in the promoter of uncoupling protein-2 gene and polycystic ovary syndrome

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Polycystic ovary syndrome (PCOS) is a disorder characterized by hyperandrogenism, chronic oligoanovulation and insulin resistance. A number of women with PCOS are obese and exhibit abnormal phenotypes, including high levels of androgens, an irregular menstrual cycle and increased hair growth. Studies on obese PCOS patients have proven the crucial role that obesity plays in insulin resistance and hyperinsulinemia. The uncoupling protein (UCP) gene is one of the genes known to have a strong association with obesity and insulin resistance. Thus, we analyzed the association between the -866G/A polymorphism in the promoter of UCP2 and PCOS. Genotyping was performed by polymerase chain reaction along with restriction fragment length polymorphism analysis, followed by an analysis of the genotype of the UCP2 polymorphism in PCOS and control subjects using HapAnalyzer. The study included samples from 277 PCOS patients and 152 healthy controls. P<0.05 was considered to be statistically significant. In conclusion, no association was found between the -866G/A single nucleotide polymorphism and PCOS (P=0.7168, OR=1.07, 95% CI). The present study showed that -866G/A, a UCP2 gene polymorphism, is not associated with the pathogenesis of PCOS.
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Document Type: Research Article

Affiliations: 1: Department of Biomedical Science, CHA University, CHA General Hospital, Gangnam-Gu, Seoul 135-081, Republic of Korea 2: Department of Obstetrics and Gynecology, CL Women's Hospital, Gwangju 502-800, Republic of Korea

Publication date: January 1, 2011

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  • Molecular Medicine Reports is a monthly, peer-reviewed journal available in print and online, that includes studies devoted to molecular medicine, underscoring aspects including pharmacology, pathology, genetics, neurosciences, infectious diseases, molecular cardiology and molecular surgery. In vitro and in vivo studies of experimental model systems pertaining to the mechanisms of a variety of diseases offer researchers the necessary tools and knowledge with which to aid the diagnosis and treatment of human diseases.
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