Fiaz Muhammad, Shaiq Pakeeza Arzoo, Raj Ghazala Kaukab, Saqlain Muhammad, Mehmood Abid, Naqvi Syed Muhammad Saqlan, Cheung Bernard Kaukab
Department of Pathology, Pakistan Institute of Medical Sciencs (PIMS), Islamabad, Pakistan.
University Institute of Biochemistry, PMAS Arid Agriculture University, Rawalpindi, Pakistan.
J Pak Med Assoc. 2019 Mar;69(3):301-305.
To explore the association of rs662799 variants of Apolipoprotein A5 gene with metabolic syndrome in Pakistani population.
The case-control study was conducted at Pakistan Institute of Medical Sciences, Islamabad, Pakistan from 2014 to2016, and comprised subjects enrolled from the out-patient clinics. Groups were formed on the basis of preliminary screening for risk factors like obesity, insulin resistance, hypertension, dyslipidemia and fasting blood glucose levels. Met S was diagnosed based on the international diabetes federation criteria. Blood samples were collected for biochemical testing and deoxyribonucleic acid extraction. Genotyping of rs662799 was performed a the Genome Research Centre of the University of Hong Kong using Sequenom Mass ARRAY, iPLEX Gold technology. Data was analysed using SPSS 16and Plink software.
:There were 712 subjects in two groups of 356(50%) each. The overall mean age was 41.59}7.18 years. There was a significant association of risk allele C of rs662799 with metabolic syndrome (p=0.002). The risk showed strong association with dyslipidaemia (p=0.03) and obesity (p=0.01) which are risk phenotypes of metabolic syndrome in age- and gender-adjusted model.
The association of risk allele C of genetic variant rs662799 of Apolipoprotein A5 gene with dyslipidaemia and obesity may lead to the development of metabolic syndrome in the Pakistan adult population.
探讨载脂蛋白A5基因rs662799变异与巴基斯坦人群代谢综合征的关联。
2014年至2016年在巴基斯坦伊斯兰堡的巴基斯坦医学科学研究所开展病例对照研究，研究对象来自门诊。根据肥胖、胰岛素抵抗、高血压、血脂异常和空腹血糖水平等危险因素的初步筛查分组。根据国际糖尿病联盟标准诊断代谢综合征。采集血样进行生化检测和脱氧核糖核酸提取。使用Sequenom Mass ARRAY、iPLEX Gold技术在香港大学基因组研究中心对rs662799进行基因分型。使用SPSS 16和Plink软件分析数据。
两组各有356名（50%）受试者，共712名。总体平均年龄为41.59±7.18岁。rs662799的风险等位基因C与代谢综合征存在显著关联（p=0.002）。在年龄和性别调整模型中，该风险与血脂异常（p=0.03）和肥胖（p=0.01）密切相关，而血脂异常和肥胖是代谢综合征的风险表型。
载脂蛋白A5基因变异rs662799的风险等位基因C与血脂异常和肥胖的关联可能导致巴基斯坦成年人群发生代谢综合征。
