Risk factors for ovarian cancer include a number of genetic variants as well as endometriosis. The - system is one of the apoptotic pathways that play an essential role in the apoptotic process within the endometrium. Here, we evaluate the correlation between - polymorphisms with the risk of endometriosis in Iranian patients and healthy controls. We extracted DNA from whole blood samples using a DNA Purification Kit. Using the PCR-RFLP method, three SNPs, including (-670 A/G) and (-844 C/T and _124G/A) genes, were genotyped in 112 patients with endometriosis as well as 110 healthy controls. The frequency of genotypes and the alleles of these SNPs were analyzed by the chi-squared test for the significant association. Haplotype analysis was done by the PLINK software. The frequency distribution of haplotypes was significant between SNPs so that the ACG haplotype was more frequent in the cases than in the controls ( = .017). These results indicate that haplotype analysis can be useful for SNP analysis. The ACG haplotypes in -670A/G, -844C/T, and _124G/A genes may be correlated with the progression of endometriosis.

Download full-text PDF

Source
http://dx.doi.org/10.1080/09513590.2019.1655729DOI Listing

Publication Analysis

Top Keywords

endometriosis iranian
8
iranian patients
8
healthy controls
8
_124g/a genes
8
haplotype analysis
8
endometriosis
5
identification fas/fasl
4
haplotype
4
fas/fasl haplotype
4
haplotype associated
4

Similar Publications

Machine Learning-Based Detection of Endometriosis: A Retrospective Study in A Population of Iranian Female Patients.

Int J Fertil Steril

October 2024

Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Email:

Background: Endometriosis, is a prevalent condition among women of childbearing age, characterized by the presence of ectopic endometrial glands. It is associated with pelvic pain and infertility. Unfortunately, the diagnosis of endometriosis is often delayed in many patients.

View Article and Find Full Text PDF

Background: Endometrial polyps are common benign lesions characterized by localized overgrowths of endometrial tissue within the uterine cavity. The etiology and pathogenesis of these polyps remain unclear. Human papillomavirus (HPV) infection, known for its association with various genital tract conditions, has been investigated concerning endometrial polyps, although research in this area is limited.

View Article and Find Full Text PDF

Cardio-Metabolic Risk Profile of Women With Endometriosis: A Population-Based Study.

Endocrinol Diabetes Metab

November 2024

Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Aims: Endometriosis (EM) and metabolic disorders are frequent health problems among reproductive-aged women worldwide. Cardio-metabolic risk profile of women with EM is not well understood. We aimed to investigate the cardio-metabolic risk profile of Iranian reproductive-aged women with EM.

View Article and Find Full Text PDF

Background: Intrauterine devices (IUDs) are one of the most popular methods of contraception, and uterine perforation has been presented among the most significant potential complications of IUD use. The aim of this study is to evaluate the risk factors of uterine perforation when using an IUD.

Methods: In this retrospective study, all 164 women who have referred to Al-Zahra hospital in Tabriz- Iran to remove the retained IUD from March 2018 to March 2021, were investigated in two groups.

View Article and Find Full Text PDF

Background: Endometriosis is a chronic, gynecological disorder, and the disease's pathogenesis is still debatable. Genes related to apoptosis have been revealed to be deregulated in endometriosis.

Objective: This study investigates the relationship between polymorphic variants of and -938C A promoter regions with endometriosis risk in an Iranian population.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!