👤 Taha A Kumosani

The goal of this study was to analyze the association between the FTO rs17817449 (G>T), G protein beta3 subunit (GNB3) C825T and Melanocortin 4 receptor (MC4R) A822G single nucleotide polymorphism (SNP) with obesity in Saudi subjects. The subjects were divided into 2 groups according to BMI: Obese (BMI> 29.9) and non- obese control (BMI<24.9). Genotyping of the target genes were determined by polymerase chain reaction (PCR) followed by restriction fragment length polymorphism analysis (RFLP). We demonstrated the association of the FTO genotype TT with increased weight, BMI and leptin levels in both males and females. However, there was no association of genotype TT with fasting blood glucose, triglycerides and cholesterol levels. Regarding GNB3 rs5443 polymorphism, the likelihood of obesity was linked to the TT genotype which was also associated with increased leptin levels. On the other hand, the SNP of MC4R A822G did not exhibit any significant association with obesity among studied subjects and showed only the presence of homozygous AA genotype. The polymorphism of FTO gene rs17817449 and GNB3 gene rs5443 (C825T) may be a genetic determinant of obesity in Saudi population whereas impact of MC4R Asn274Ser change could not be detected. Show less

Specific genetic anomalies or non-genetic factors could lead to epilepsy, but in various cases the underlying cause is unknown. Novel technologies, such as array comparative genomic hybridization, may reveal the copy number variants (CNVs), established as significant risk factor for epilepsy. This study carried out a high-density whole genome array- comparative genomic hybridization analysis with blood DNA samples from a cohort of twenty epilepsy patients to search for CNVs associated with epilepsy. Microdeletion of 14q31.1 was observed in four patients including two from the same family with loss of the NRXN3 gene; microdeletion of 15q12 in one patient with loss of the GABRG3 gene, and microduplication of 20q13.33 in three patients with loss of the gene group CHRNA4, KCNQ2, EEF1A2 and PPDPF were also found. These CNV findings were confirmed by real-time quantitative polymerase chain reaction. We have described, for the first time, numerous potential CNVs/genes implicated in epilepsy in the Saudi population. The study presents a better description of the genetic variations in epilepsy, and would eventually enable us to provide a foundation for understanding the critical genome regions which might be involved in the development of epilepsy. Show less