Schupf Nicole, Lee Annie, Park Naeun, Dang Lam-Ha, Pang Deborah, Yale Alexander, Oh David Kyung-Taek, Krinsky-McHale Sharon J, Jenkins Edmund C, Luchsinger José A, Zigman Warren B, Silverman Wayne, Tycko Benjamin, Kisselev Sergey, Clark Lorraine, Lee Joseph H
The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA; G.H. Sergievsky Center, New York, NY, USA; Department of Epidemiology, Columbia University Medical Center, New York, NY, USA; Department of Psychiatry, Columbia University Medical Center, New York, NY, USA.
The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA.
Neurobiol Aging. 2015 Oct;36(10):2907.e1-10. doi: 10.1016/j.neurobiolaging.2015.06.020. Epub 2015 Jun 19.
We examined the contribution of candidates genes for Alzheimer's disease (AD) to individual differences in levels of beta amyloid peptides in adults with Down syndrom, a population at high risk for AD. Participants were 254 non-demented adults with Down syndrome, 30-78 years of age. Genomic deoxyribonucleic acid was genotyped using an Illumina GoldenGate custom array. We used linear regression to examine differences in levels of Aβ peptides associated with the number of risk alleles, adjusting for age, sex, level of intellectual disability, race and/or ethnicity, and the presence of the APOE ε4 allele. For Aβ42 levels, the strongest gene-wise association was found for a single nucleotide polymorphism (SNP) on CAHLM1; for Aβ40 levels, the strongest gene-wise associations were found for SNPs in IDE and SOD1, while the strongest gene-wise associations with levels of the Aβ42/Aβ40 ratio were found for SNPs in SORCS1. Broadly classified, variants in these genes may influence amyloid precursor protein processing (CALHM1, IDE), vesicular trafficking (SORCS1), and response to oxidative stress (SOD1).
我们研究了阿尔茨海默病(AD)候选基因对唐氏综合征成年人β淀粉样肽水平个体差异的影响,唐氏综合征人群是患AD的高危人群。参与者为254名年龄在30至78岁之间的非痴呆唐氏综合征成年人。使用Illumina GoldenGate定制芯片对基因组脱氧核糖核酸进行基因分型。我们采用线性回归分析与风险等位基因数量相关的Aβ肽水平差异,并对年龄、性别、智力残疾程度、种族和/或民族以及APOE ε4等位基因的存在情况进行了校正。对于Aβ42水平,在CAHLM1上的一个单核苷酸多态性(SNP)显示出最强的基因水平关联;对于Aβ40水平,在IDE和SOD1中的SNP显示出最强的基因水平关联,而对于Aβ42/Aβ40比值水平,在SORCS1中的SNP显示出最强的基因水平关联。大致分类来看,这些基因中的变异可能会影响淀粉样前体蛋白的加工(CALHM1、IDE)、囊泡运输(SORCS1)以及对氧化应激的反应(SOD1)。