Wang Ke-Sheng, Liu Ying, Xu Chun, Liu Xuefeng, Luo Xingguang
Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA.
Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA.
J Neuroimmunol. 2017 Sep 15;310:60-65. doi: 10.1016/j.jneuroim.2017.06.010. Epub 2017 Jun 27.
The neuron navigator 2 (NAV2) gene is highly expressed in brain and involved in the nervous system development and may play a role in Alzheimer's disease (AD). We aimed to investigate the associations of 317 single-nucleotide polymorphisms (SNPs) in the NAV2 gene with the risk and age at onset (AAO) of AD using a family-based sample (1266 AD cases and 1279 healthy relatives). Association with the risk of AD was assessed using family-based association test -generalized estimating equations (FBAT- GEE) statistics while the association with AAO as a quantitative trait was evaluated using the FBAT-Wilcoxon statistic. Single marker analysis showed that 20 SNPs were significantly associated with the risk of AD (top SNP rs7112354 with p=8.46×10) and 11 SNPs were associated with AAO (top SNP rs1354269 with p=2.87×10). Interestingly, two SNPs rs17614100 and rs12364788 were associated with both the risk (p=1.7×10 and 2.71×10; respectively) and AAO (p=1.85×10 and 6.06×10; respectively). Haplotype analyses further supported the results of single marker analyses. In addition, functional analysis showed that NAV2 mRNA had significant expression across ten human brain regions examined and significantly correlated with APOE expression in four of ten regions. The present study is the first study providing evidence of several genetic variants within the NAV2 gene influencing the risk and AAO of AD.
神经元导航蛋白2(NAV2)基因在大脑中高度表达,参与神经系统发育,可能在阿尔茨海默病(AD)中发挥作用。我们旨在使用基于家系的样本(1266例AD病例和1279名健康亲属),研究NAV2基因中317个单核苷酸多态性(SNP)与AD风险及发病年龄(AAO)之间的关联。使用基于家系的关联检验——广义估计方程(FBAT - GEE)统计量评估与AD风险的关联,而使用FBAT - 威尔科克森统计量评估与作为定量性状的AAO的关联。单标记分析表明,20个SNP与AD风险显著相关(最显著的SNP为rs7112354,p = 8.46×10),11个SNP与AAO相关(最显著的SNP为rs1354269,p = 2.87×10)。有趣的是,两个SNP rs17614100和rs12364788与风险(分别为p = 1.7×10和2.71×10)及AAO(分别为p = 1.85×10和6.06×10)均相关。单倍型分析进一步支持了单标记分析的结果。此外,功能分析表明,NAV2 mRNA在所检测的十个人脑区域均有显著表达,且在十个区域中的四个区域与APOE表达显著相关。本研究是首次提供证据表明NAV2基因内的多个遗传变异影响AD风险和AAO的研究。