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阿尔茨海默病遗传学的多重模型
作者:小柯机器人 发布时间:2020/3/3 16:59:52

近日,英国卡迪夫大学Julie Williams等研究人员提出了在阿尔茨海默氏病的遗传复合模型。该论文于2020年2月28日在线发表于《自然—神经科学》。

研究人员表示,基因在阿尔茨海默氏病(AD)中起着重要作用,迟发性AD的遗传力为58-79%,早发性AD的遗传率超过90%。遗传关联为建立对这种复杂疾病的病因学理解提供了一个强大的平台。
 
目前有超过50个基因位点与AD有关,这表明AD是多种成分的疾病,并且通路分析(免疫、内吞、胆固醇转运、泛素化、β-淀粉样蛋白和tau加工)也支持了这一观点。超过50%的晚期AD遗传力已知晓,研究人员可以通过多基因风险评分来计算AD遗传风险的累积。
 
多基因风险评分能够以高达90%的准确度预测疾病,并且是这一研究领域中有效的工具,可以选择具有高多基因风险评分的患者进行临床试验和精密医学。它也可以对综合风险进行细胞建模。
 
研究人员提出了一个复合模型,作为理解AD的新视角。复合模型以组织特异性的方式反映了部分或全部这些模型组分(遗传和环境)的组合,这些组分触发或维持疾病级联,最终导致AD中观察到的细胞和突触丧失。
 
附:英文原文

Title: The multiplex model of the genetics of Alzheimer’s disease

Author: Rebecca Sims, Matthew Hill, Julie Williams

Issue&Volume: 2020-02-28

Abstract: Genes play a strong role in Alzheimer’s disease (AD), with late-onset AD showing heritability of 58–79% and early-onset AD showing over 90%. Genetic association provides a robust platform to build our understanding of the etiology of this complex disease. Over 50 loci are now implicated for AD, suggesting that AD is a disease of multiple components, as supported by pathway analyses (immunity, endocytosis, cholesterol transport, ubiquitination, amyloid-β and tau processing). Over 50% of late-onset AD heritability has been captured, allowing researchers to calculate the accumulation of AD genetic risk through polygenic risk scores. A polygenic risk score predicts disease with up to 90% accuracy and is an exciting tool in our research armory that could allow selection of those with high polygenic risk scores for clinical trials and precision medicine. It could also allow cellular modelling of the combined risk. Here we propose the multiplex model as a new perspective from which to understand AD. The multiplex model reflects the combination of some, or all, of these model components (genetic and environmental), in a tissue-specific manner, to trigger or sustain a disease cascade, which ultimately results in the cell and synaptic loss observed in AD.

DOI: 10.1038/s41593-020-0599-5

Source: https://www.nature.com/articles/s41593-020-0599-5

期刊信息

Nature Neuroscience:《自然—神经科学》,创刊于1998年。隶属于施普林格·自然出版集团,最新if:21.126
官方网址:https://www.nature.com/neuro/
投稿链接:https://mts-nn.nature.com/cgi-bin/main.plex