A new era of genome-wide association studies in the field of Alzheimer’s disease and overlapping co-pathologies: lessons learned from a neuropathology-centered approach

IF 10.3 1区 医学 Q1 CLINICAL NEUROLOGY
Celeste Laureyssen, Dietmar Rudolf Thal, Kristel Sleegers
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Abstract

Alzheimer’s disease (AD) and overlapping pathologies represent a growing worldwide health concern. With the first disease-modifying treatments on the rise, it becomes increasingly important to move research in this area forward. Genetic research is excellent at discovering novel contributors to disease mechanisms, which has been demonstrated by the discovery of over 75 disease loci associated with AD. However, classical large-scale genome-wide association studies (GWAS) use cohorts of individuals that have been assigned a case or a control status based on a clinical diagnosis. For AD, this can result in bias due to the complex nature of the disease profile. More specifically, on the neuropathological level, AD is multifaceted with co-morbid pathological lesions being the norm rather than the exception. Together with the substantial preclinical phase, this can lead to the introduction of type I and type II errors. An alternative to using large-scale clinical cohorts is to shift toward studying individuals where the disease diagnosis has been neuropathologically confirmed, or cohorts where an endophenotype is used which can directly reflect ongoing pathological processes in vivo. Such endophenotypes could entail biofluid or imaging-based biomarkers, but the most undiluted signal is obtained when employing neuropathological data. These data typically represent the presence or absence of a lesion or reflects the semi-quantitative burden of pathological features. Here, we review what this shift toward more detailed phenotypes has already contributed to the field by investigating the genetic background of AD hallmark lesions as well as commonly observed co-pathologies.

阿尔茨海默病和重叠共病领域全基因组关联研究的新时代:从神经病理学为中心的方法中吸取的教训。
阿尔茨海默病(AD)和重叠病理是一个日益增长的全球健康问题。随着第一次疾病修饰治疗的兴起,推动这一领域的研究变得越来越重要。基因研究在发现疾病机制的新贡献者方面表现出色,这已被发现超过75个与阿尔茨海默病相关的疾病位点所证明。然而,经典的大规模全基因组关联研究(GWAS)使用基于临床诊断分配病例或对照状态的个体队列。对于阿尔茨海默病,由于疾病特征的复杂性,这可能导致偏差。更具体地说,在神经病理水平上,阿尔茨海默病是多方面的,共病病理病变是常态,而不是例外。加上大量的临床前阶段,这可能导致I型和II型错误的引入。使用大规模临床队列的另一种选择是转向研究疾病诊断已被神经病理学证实的个体,或使用可直接反映体内正在进行的病理过程的内表型的队列。这种内表型可能需要生物流体或基于成像的生物标志物,但当采用神经病理数据时获得最原始的信号。这些数据通常代表病变的存在或不存在,或反映病理特征的半定量负担。在这里,我们通过调查阿尔茨海默病标志性病变的遗传背景以及常见的共同病理,回顾了这种向更详细的表型转变已经对该领域做出的贡献。
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来源期刊
Acta Neuropathologica
Acta Neuropathologica 医学-病理学
CiteScore
23.70
自引率
3.90%
发文量
118
审稿时长
4-8 weeks
期刊介绍: Acta Neuropathologica publishes top-quality papers on the pathology of neurological diseases and experimental studies on molecular and cellular mechanisms using in vitro and in vivo models, ideally validated by analysis of human tissues. The journal accepts Original Papers, Review Articles, Case Reports, and Scientific Correspondence (Letters). Manuscripts must adhere to ethical standards, including review by appropriate ethics committees for human studies and compliance with principles of laboratory animal care for animal experiments. Failure to comply may result in rejection of the manuscript, and authors are responsible for ensuring accuracy and adherence to these requirements.
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