Journal
EUROPEAN JOURNAL OF OBSTETRICS & GYNECOLOGY AND REPRODUCTIVE BIOLOGY
Volume 163, Issue 1, Pages 39-42Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ejogrb.2012.03.020
Keywords
PCOS; Hirsutism; Single nucleotide polymorphism; 9q33.3 rs2479106; DENND1A
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Funding
- Region of Southern Denmark [09/13388]
- Augustinus Foundation
- A.P. Moller and Wife Chastine Mc-Kinney Moller Foundation
- free research funds of Odense University Hospital
- Aase og Ejner Danielsens Foundation
- Brothers Hartmann Foundation
- Vilhelm Bangs Foundation
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Context: Polycystic ovary syndrome (PCOS) is the most common endocrine disease among premenopausal women. A recent study found association between three single nucleotide polymorphisms (SNPs) and PCOS in a cohort of Han Chinese women. Objective: To investigate the association between rs13405728 (LHCGR gene), rs13429458 (THADA gene) and rs2479106 (DENND1A gene), PCOS, hirsutism and metabolic and hormonal parameters in a well characterized cohort of Caucasian patients of Danish descendant with PCOS or hirsutism. Study design: Patients underwent clinical examination, hormone analyses, oral glucose tolerance test and transvaginal ultrasound. Genetic variation was tested using allelic discrimination by real-time PCR. Patients: 268 patients referred to The Department of Endocrinology, Odense University Hospital, Denmark with PCOS or hirsutism between 1997 and 2011. Two hundred and forty-eight healthy females were included as controls. Results: Genotype distributions and allele frequencies of rs13405728, rs13429458, and rs2479106 were comparable in patients and controls. The rs2479106 G allele was associated with a decreased PCOS susceptibility. None of the SNPs were associated with hirsutism or increased metabolic parameters. Conclusions: The rs2479106 G allele was associated with decreased PCOS susceptibility, thus confirming previously reported findings of association between rs2479106 and PCOS. Metabolic and hormonal parameters were comparable between genotypes of rs13405728 and rs2479106. (c) 2012 Elsevier Ireland Ltd. All rights reserved.
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