Volume 26, Issue 1 (Apr 2018)                   JSSU 2018, 26(1): 55-63 | Back to browse issues page

XML Persian Abstract Print


Abstract:   (4378 Views)
Introdution: Endometriosis is one of the most common gynecologic disorders and shows significantly elevated prevalence in industrial regions. Additionally, a possible genetic predisposition is assumed for the disease. Glutathione S-transferases (GSTs) are enzymes participated in the metabolism of many human disease-causing mutagens, carcinogens and environmental pollutants. A functionally significant A to G transition in GSTP1 gene causes substitution of in the codon 105 can influence the enzyme activity. The aim of the present study was to investigate association of GSTP1 polymorphism and endometriosis in women from central and southern Iran.
Methods: In this case-control study, after obtaining informed consent, samples were obtained from 101 endometriosis patients and 126 healthy controls. Genomic DNA was isolated from peripheral blood cells and genotyping was performed using polymerase chain reaction followed by restriction fragment length polymorphism (PCR-RFLP) analysis. Data were compared in both groups by using Pearson chi-square and Hardy-Weinberg equilibrium tests.
Results: Results showed no significant association between GSTP1 Ile105Val Polymorphism and endometriosis susceptibility (P = 0.370). Frequencies of the AA, AG and GG genotype of GSTP1 gene polymorphism in the patients were 42.6%, 47.5% and 9.9%, while the frequencies in the controls were 49.2%, 45.2% and 5.6%, respectively.
Conclusion: According to our study, GSTP1 Ile105Val polymorphism appears to be not associated with the risk of endometriosis in the studied population. However, additional studies, especially with larger sample size are needed to validate these findings.
 
Full-Text [PDF 1099 kb]   (1737 Downloads)    
Type of Study: Original article | Subject: Genetics
Received: 2017/11/6 | Accepted: 2017/12/2 | Published: 2018/05/27

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.