Department of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Gene. 2019 Apr 15;692:156-169. doi: 10.1016/j.gene.2019.01.007. Epub 2019 Jan 16.
A number of genome-wide association studies (GWASs) have identified several genetic determinants of plasma lipids in European populations, in which analytical approaches have often been based on the linear regression models and the association test between a SNP and each lipid component individually in cross-sectional designs. Since lipid variations are correlated, the consideration of pleiotropy is necessary and using methods that can perform simultaneous association test of multiple longitudinal traits provides more information about the recognition of the pleiotropic variants. To identify new pleiotropic variants and to determine whether loci identified in previous GWASs can also exert the same effect on lipid concentrations in Iranian population, longitudinal measurements of lipid variations were used in a sample of Iranian population (16,353 individuals within 3100 families) that followed up every 3 years and using a two-step model, the associations of 20,036 available SNPs on chromosome 16 were assessed. Twenty variants within the AC009035.1, SLC12A3, CETP, NLRC5, ESRP2 and, C16orf95 genes showed strong evidence for association with HDL-C, cholesterol, and triglycerides with p-values ranging from 1.7 × 10 to 6.6 × 10. Since many genetic variants associated with lipids still remain to be determined, the results of the present study may provide valuable information on identifying the associations of new genetic loci with lipid variations in other populations.
许多全基因组关联研究(GWAS)已经确定了欧洲人群血浆脂质的几个遗传决定因素,其中分析方法通常基于线性回归模型和在横断面设计中 SNP 与每个脂质成分之间的关联测试。由于脂质变化是相关的,因此有必要考虑多效性,并且使用可以同时对多个纵向特征进行关联测试的方法可以提供有关识别多效性变体的更多信息。为了识别新的多效性变体,并确定以前在 GWAS 中鉴定的基因座是否也对伊朗人群中的脂质浓度产生相同的影响,对伊朗人群样本(3100 个家庭中的 16353 个人)进行了脂质变化的纵向测量,这些人每 3 年随访一次,并使用两步模型评估了染色体 16 上 20036 个可用 SNP 的关联。AC009035.1、SLC12A3、CETP、NLRC5、ESRP2 和 C16orf95 基因内的 20 个变体与 HDL-C、胆固醇和甘油三酯的关联具有很强的证据,p 值范围从 1.7×10 到 6.6×10。由于与脂质相关的许多遗传变体仍有待确定,因此本研究的结果可能为确定其他人群中与脂质变化相关的新遗传基因座的关联提供有价值的信息。