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Screening of polymorphisms of transcription factor 7-like 2 gene in polycystic ovary syndrome using polymerase chain reaction-restriction fragment length polymorphism analysis
Published in Medknow
2018
Volume: 11
   
Issue: 2
Pages: 137 - 141
Abstract
Background: Polycystic ovary syndrome (PCOS) is a common endocrine disorder occurring in premenopausal women, with a prevalence rate of 5%-7%. It has been observed in multiple number of studies the coexistence between diabetes mellitus 2 and obesity with this endocrinopathic disorder. Transcription factor 7-like 2 (TCF7L2) gene is shown to be associated with insulin secretion. Aim: To screen whether the gene variant of TCF7L2 (formerly TCF4) gene is significantly associated and has susceptibilities with type 2 diabetes in PCOS. This study is essential to uncover diabetogenic association of the TCF7L2 gene variants with PCOS. Design: This was a hospital-based study. Methods: In this work, blood samples from 43 PCOS patients with age and sex similar to 43 control samples were collected, followed by isolation of DNA. Further genotyping of the TCF7L2 gene was carried out by performing polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Statistical Analysis: Genotype frequencies of the TCF7L2 rs7903146 gene were checked by Hardy-Weinberg equilibrium of genotype in both PCOS and the control group, and also, the frequencies of the genotype were performed accordingly. Results: There was no significant allelic variation observed among the patient and the control samples. From the patient details, it was observed that women between the age group of 21 and 25 years are susceptible to PCOS. Conclusion: From the PCR-RFLP analysis, it can be stated that there are no expected gene polymorphisms seen in this study, unlike the study carried out on the Chinese population where they observed genotype variations CC, CT, and TT. From this study, we can conclude that TCF7L2 rs7903146 gene cannot be considered as the candidate gene for the occurrence of PCOS. © 2018 Medknow Publications. All rights reserved.
About the journal
JournalJournal of Human Reproductive Sciences
PublisherMedknow
ISSN0974-1208
Open AccessNo