Joseph and Kathleen Bryan Alzheimer's Disease Center, Department of Neurology, Duke University Medical Center, 2200 W Main Street, Suite A200, Durham, NC, 27705, USA.
Zinfandel Pharmaceuticals, Inc., Durham, NC, USA.
Curr Neurol Neurosci Rep. 2016 May;16(5):48. doi: 10.1007/s11910-016-0643-8.
Clinical trials for Alzheimer's disease are now focusing on the earliest stages of the disease with the goal of delaying dementia onset. There is great utility in using genetic variants to identify individuals at high age-dependent risk when the goal is to begin treatment before the development of any cognitive symptoms. Genetic variants identified through large-scale genome-wide association studies have not substantially improved the accuracy provided by APOE genotype to identify people at high risk of late-onset Alzheimer's disease (LOAD). We describe novel approaches, focused on molecular phylogenetics, to finding genetic variants that predict age at LOAD onset with sufficient accuracy and precision to be useful. We highlight the discovery of a polymorphism in TOMM40 that, in addition to APOE, may improve risk prediction and review how TOMM40 genetic variants may impact the develop of LOAD independently from APOE. The analysis methods described in this review may be useful for other genetically complex human diseases.
针对阿尔茨海默病的临床试验目前正集中于该疾病的早期阶段,目标是延迟痴呆的发病。当目标是在出现任何认知症状之前开始治疗时,利用遗传变异来识别高龄相关风险个体具有很大的作用。通过大规模全基因组关联研究确定的遗传变异并未显著提高 APOE 基因型提供的准确性,无法确定哪些人具有发生迟发性阿尔茨海默病(LOAD)的高风险。我们描述了一些新方法,重点是分子系统发生学,以找到具有足够准确性和精密度的遗传变异,从而能够用于预测 LOAD 的发病年龄。我们重点介绍了 TOMM40 中一个多态性的发现,除了 APOE 之外,该多态性可能还可以改善风险预测,并回顾了 TOMM40 遗传变异如何在不依赖于 APOE 的情况下独立影响 LOAD 的发生。本综述中描述的分析方法可能对其他遗传复杂的人类疾病有用。