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Rev Assoc Med Bras (1992) · Jan 2024
The association of CYP11A1 gene polymorphisms with the polycystic ovary syndrome patients.
- Sihad Salim Hakeem Alyousif, Burcu Ozbakir, Ali Cenk Ozay, and Pinar Tulay.
- Near East University, Faculty of Medicine, Department of Medical Genetics - Nicosia, Cyprus.
- Rev Assoc Med Bras (1992). 2024 Jan 1; 70 (7): e20231293e20231293.
ObjectiveThe objective of this study was to investigate the allele frequencies of polymorphisms in genes CYP11A1 rs4886595 and CYP11A1 rs4887139 that are responsible for the steroidogenesis mechanism in polycystic ovary syndrome patients and control females.MethodsSamples were obtained from the Department of Obstetrics and Gynecology in the Near East University Hospital from September 2019 to December 2019. Only the nonobese patients between the ages of 18-40 years were included in this study following informed consent. Obese patients and patients more than 40 years of age were excluded from the study. Nonobese women and normal ovulation were included in the control group. DNA was isolated from blood samples. Real-time polymerase chain reaction (PCR) was used to analyze single nucleotide polymorphisms (SNPs) in various genes linked to polycystic ovary syndrome. The studies were carried out using the samples obtained from 120 women, of whom 55 were nonobese and had normal ovulation, and 65 were polycystic ovary syndrome patients. The allelic frequencies of SNPs in genes linked to polycystic ovary syndrome were calculated using real-time PCR outcomes.ResultsThe variation of the CYP11A1 rs4887139 G>A did not show any significance, while the variation of CYP11A1 rs4886595 C>A showed significant differences between the patient and the control groups (p=0.01), respectively.ConclusionFuture research ought to focus on elucidating the susceptible causes of polycystic ovary syndrome with a wide range of SNPs and more sample size. The genome-wide association studies in polycystic ovary syndrome patients of different origin will be important to identify candidate genes as well as proteins that are implied in polycystic ovary syndrome risk.
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