Recent studies have suggested that calpain-10 (CAPN10) gene polymorphisms play a role in the susceptibility to polycystic ovary syndrome (PCOS). The aim of the present study was to evaluate the possible association between three single nucleotide polymorphisms (SNPs) in CAPN10 gene: UCSNP-43 (rs3792267), UCSNP-19 (rs3842570), and UCSNP-63 (rs5030952) and PCOS in Tunisian cases and control women. Study subjects included 127 women with PCOS (mean age 29.8 ± 4.7 year) and 150 healthy women (mean age 33.5 ± 5.6 year). CAPN10 genotyping was carried-out by direct PCR and PCR-RFLP. Linkage disequilibrium pattern in the genomic region explored was determined by HAPLOVIEW 4.2 while reconstruction of haplotypes was done using PHASE 2.1. The phylogenetic distribution of haplotypes in the population was determined by ARLEQUIN 2.000. Six haplotypes were observed. None of SNPs associated with PCOS or its components while the haplotype H4 associated with the phenotype PCOS-obese (P < 0.025). Moreover the pair of haplotypes H1/H4 strongly associated with high blood-pressure (OR = 14.4, P < 0.012). This work confirms the association of CAPN10 gene with metabolic components in PCOS and highlights the role of haplotypes as strong and efficient genetic markers.
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http://dx.doi.org/10.1007/s11033-014-3540-8 | DOI Listing |
Cancer Genomics Proteomics
December 2024
Division of Surgical Oncology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Background/aim: Bile tract cancer (BTC) is a malignant tumor with a poor prognosis. Recent studies have reported the heterogeneity of the genomic background and gene alterations in BTC, but its genetic heterogeneity and molecular profiles remain poorly understood. Whole-genome sequencing may enable the identification of novel actionable gene mutations involved in BTC carcinogenesis, malignant progression, and treatment resistance.
View Article and Find Full Text PDFJ Clin Res Pediatr Endocrinol
December 2024
Istanbul University, Aziz Sancar Institute of Experimental Medicine, Department of Genetics, Istanbul, Turkiye
Objective: Obesity is a serious health problem that progressively affects individuals’ lives with comorbidities, such as heart disease, stroke, and diabetes mellitus. Since its prevalence has increased, particularly in children less than five years old, its genetic and environmental causes should be determined for prevention and control of the disease. The aim of this study was to detect underlying genetic risk factors in a family with an exclusively breastfed obese infant.
View Article and Find Full Text PDFJ Ovarian Res
April 2024
Department of Reproductive Medicine, NHC Key Laboratory of Healthy Birth and Birth Defect Prevention in Western China, the First People's Hospital of Yunnan Province, Kunming, China.
Objective: IR emerges as a feature in the pathophysiology of PCOS, precipitating ovulatory anomalies and endometrial dysfunctions that contribute to the infertility challenges characteristic of this condition. Despite its clinical significance, a consensus on the precise mechanisms by which IR exacerbates PCOS is still lacking. This study aims to harness bioinformatics tools to unearth key IR-associated genes in PCOS patients, providing a platform for future therapeutic research and potential intervention strategies.
View Article and Find Full Text PDFBMC Pregnancy Childbirth
January 2024
Department of Obstetrics Nursing, West China Second University Hospital, Sichuan University, Chengdu, China.
Endocr Regul
January 2023
2Department of Biology, College of Science, University of Sulaimani, Sulaymanyah, Iraq.
Nowadays, type 2 diabetes mellitus (T2DM) is the most common chronic endocrine disorder, affecting an estimated 5-10% of adults worldwide and this disease rapidly increases in the Kurdistan region population. This research aims to identify DNA methylation change in the gene as a predictive biomarker in T2DM and the association between DNA methylation status with lipid profile and kidney function test. The participants (113) were divided into three groups: diabetes group (47), prediabetes group (36), and control group (30).
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