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2020, iss. 42, pp. 97-112
Association of various genes with susceptibility to multiple sclerosis in Lebanese population of Bekaa region: A preliminary study
aBeirut Arab University, Faculty of Science, Department of Biological Sciences, Riad El Solh, Debbieh, Lebanon
bLebanese University, Faculty of Medicine, Department of Neurology, Beirut, Lebanon
Multiple sclerosis (MS) is a multifactorial, polygenic, neurodegenerative autoimmune disease. Interleukin 7-receptor alpha (IL7-Ra), Human Leukocyte Antigen - DRB1*1501 (HLA-DRB1*1501), Tumor protein p53 (Tp53) and Synapsin III (SynIII) genes play a crucial role in this disease. This study aims at investigating specific genetic variants with MS occurrence in the Lebanese population of Bekaa province. MS patients (n=28) and controls (n=28) living in the Bekaa region in Lebanon participated in the study. DNA was purified from the collected blood samples. PCR-RFLP and sequencing of amplified PCR products from the targeted genes were performed along with convenient statistical tests. Genotype and allele frequencies of the studied genes were not statistically significant between MS patients and controls. No significance was noticed in rs1494558 and rs1494555 of IL7-Ra where T/T genotype was lower in patients (P=0.106) and A allele was higher in patients (P=0.108), respectively. Haplotypes stratification for rs1494555 and rs6897932 of IL7-Ra shows an increase in AT haplotype (P=0.248) and a decrease in GC haplotype (P=0.251) in MS patients and this was independent with HLA - DRB1*1501. Also, no association was shown neither with smoking (P=0.105) nor with gender (P=0.788). Although no association was shown between the studied SNPs and MS in the Lebanese population living in the Bekaa region, this research is considered of high interest since it is one of the first studies done in Lebanon that permits a better comprehension of the genetic implication in the disease.
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article language: English
document type: Original Scientific Paper
DOI: 10.5937/KgJSci2042097M
published in SCIndeks: 26/07/2020
Creative Commons License 4.0

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