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β-淀粉样蛋白毒性修饰基因与阿尔茨海默病风险

Beta-amyloid toxicity modifier genes and the risk of Alzheimer's disease.

作者信息

Rosenthal Samantha L, Wang Xingbin, Demirci F Yesim, Barmada Michael M, Ganguli Mary, Lopez Oscar L, Kamboh M Ilyas

机构信息

Department of Human Genetics, University Pittsburgh, Pittsburgh, PA.

出版信息

Am J Neurodegener Dis. 2012;1(2):191-8.

Abstract

Late-onset Alzheimer's disease (LOAD) is a complex and multifactorial disease. So far ten loci have been identified for LOAD, including APOE, PICALM, CLU, BIN1, CD2AP, CR1, CD33, EPHA1, ABCA7, and MS4A4A/MS4A6E, but they explain about 50% of the genetic risk and thus additional risk genes need to be identified. Amyloid beta (Aβ) plaques develop in the brains of LOAD patients and are considered to be a pathological hallmark of this disease. Recently 12 new Aβ toxicity modifier genes (ADSSL1, PICALM, SH3KBP1, XRN1, SNX8, PPP2R5C, FBXL2, MAP2K4, SYNJ1, RABGEF1, POMT2, and XPO1) have been identified that potentially play a role in LOAD risk. In this study, we have examined the association of 222 SNPs in these 12 candidate genes with LOAD risk in 1291 LOAD cases and 958 cognitively normal controls. Single site and haplotype analyses were performed using PLINK. Following adjustment for APOE genotype, age, sex, and principal components, we found single nucleotide polymorphisms (SNPs) in PPP2R5C, PICALM, SH3KBP1, XRN1, and SNX8 that showed significant association with risk of LOAD. The top SNP was located in intron 3 of PPP2R5C (P=0.009017), followed by an intron 19 SNP in PICALM (P=0.0102). Haplotype analysis revealed significant associations in ADSSL1, PICALM, PPP2R5C, SNX8, and SH3KBP1 genes. Our data indicate that genetic variation in these new candidate genes affects the risk of LOAD. Further investigation of these genes, including additional replication in other case-control samples and functional studies to elucidate the pathways by which they affect Aβ, are necessary to determine the degree of involvement these genes have for LOAD risk.

摘要

晚发性阿尔茨海默病(LOAD)是一种复杂的多因素疾病。到目前为止,已确定了10个与LOAD相关的基因座,包括载脂蛋白E(APOE)、磷脂酰肌醇结合网格蛋白组装蛋白(PICALM)、簇集蛋白(CLU)、衔接蛋白1(BIN1)、CD2相关蛋白(CD2AP)、补体受体1(CR1)、CD33分子、红细胞生成素受体A1(EPHA1)、三磷酸腺苷结合盒转运体A7(ABCA7)以及MS4A4A/MS4A6E,但它们仅解释了约50%的遗传风险,因此需要鉴定更多的风险基因。淀粉样β蛋白(Aβ)斑块在LOAD患者大脑中形成,被认为是该疾病的病理标志。最近,已鉴定出12个新的Aβ毒性调节基因(腺苷酸琥珀酸合成酶1(ADSSL1)、PICALM、含SH3结构域的接头蛋白1(SH3KBP1)、核糖核酸酶XRN1、分选衔接蛋白8(SNX8)、蛋白磷酸酶2A调节亚基Bα(PPP2R5C)、F-box和亮氨酸丰富重复蛋白2(FBXL2)、丝裂原活化蛋白激酶激酶4(MAP2K4)、突触素1(SYNJ1)、RABGEF1、糖基化相关蛋白2(POMT2)和染色体区域维持蛋白1(XPO1)),它们可能在LOAD风险中发挥作用。在本研究中,我们检测了这12个候选基因中的222个单核苷酸多态性(SNP)与1291例LOAD病例和958例认知正常对照中LOAD风险的关联。使用PLINK软件进行单位点和单倍型分析。在对APOE基因型、年龄、性别和主成分进行校正后,我们发现PPP2R5C、PICALM、SH3KBP1、XRN1和SNX8中的单核苷酸多态性与LOAD风险显著相关。最显著的SNP位于PPP2R5C的内含子3中(P = 0.009017),其次是PICALM内含子19中的一个SNP(P = 0.0102)。单倍型分析显示ADSSL1、PICALM、PPP2R5C、SNX8和SH3KBP1基因存在显著关联。我们的数据表明,这些新候选基因中的遗传变异会影响LOAD风险。有必要对这些基因进行进一步研究,包括在其他病例对照样本中进行重复验证以及开展功能研究以阐明它们影响Aβ的途径,从而确定这些基因在LOAD风险中的参与程度。

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