Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York; Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, New York.
Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York; Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, New York.
Biol Psychiatry. 2018 Feb 15;83(4):300-310. doi: 10.1016/j.biopsych.2017.05.014. Epub 2017 May 22.
Alzheimer's disease (AD) is a genetically heterogeneous neurodegenerative disorder caused by fully penetrant single gene mutations in a minority of cases, while the majority of cases are sporadic or show modest familial clustering. These cases are of late onset and likely result from the interaction of many genes and the environment. More than 30 loci have been implicated in AD by a combination of linkage, genome-wide association, and whole genome/exome sequencing. We have learned from these studies that perturbations in endolysosomal, lipid metabolism, and immune response pathways substantially contribute to sporadic AD pathogenesis. We review here current knowledge about functions of AD susceptibility genes, highlighting cells of the myeloid lineage as drivers of at least part of the genetic component in late-onset AD. Although targeted resequencing utilized for the identification of causal variants has discovered coding mutations in some AD-associated genes, a lot of risk variants lie in noncoding regions. Here we discuss the use of functional genomics approaches that integrate transcriptomic, epigenetic, and endophenotype traits with systems biology to annotate genetic variants, and to facilitate discovery of AD risk genes. Further validation in cell culture and mouse models will be necessary to establish causality for these genes. This knowledge will allow mechanism-based design of novel therapeutic interventions in AD and promises coherent implementation of treatment in a personalized manner.
阿尔茨海默病(AD)是一种遗传异质性神经退行性疾病,少数情况下由完全外显的单基因突变引起,而大多数病例为散发性或表现出适度的家族聚集性。这些病例发病较晚,可能是由许多基因和环境相互作用的结果。通过连锁、全基因组关联和全基因组/外显子测序的组合,已经有 30 多个基因座被牵连到 AD 中。我们从这些研究中了解到,内溶酶体、脂质代谢和免疫反应途径的紊乱极大地促成了散发性 AD 的发病机制。我们在这里回顾了 AD 易感性基因的现有功能知识,强调髓样细胞系作为至少部分晚发性 AD 遗传成分的驱动因素。虽然用于识别因果变异的靶向重测序已经在一些与 AD 相关的基因中发现了编码突变,但许多风险变异位于非编码区域。在这里,我们讨论了使用功能基因组学方法,该方法将转录组、表观遗传和表型特征与系统生物学相结合,以注释遗传变异,并促进 AD 风险基因的发现。在细胞培养和小鼠模型中的进一步验证将是必要的,以确定这些基因的因果关系。这些知识将允许基于机制的新型 AD 治疗干预措施的设计,并有望以个性化的方式实现治疗的一致性。