在阿尔茨海默病测序项目中厘清阿尔茨海默病神经精神症状的遗传基础:研究设计与方法。

IF 4 Q1 CLINICAL NEUROLOGY Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring Pub Date : 2024-08-23 eCollection Date: 2024-07-01 DOI:10.1002/dad2.70000
Nicholas R Ray, Ajneesh Kumar, Andrew Zaman, Pamela Del Rosario, Pedro R Mena, Masood Manoochehri, Colin Stein, Alyssa N De Vito, Robert A Sweet, Timothy J Hohman, Michael L Cuccaro, Gary W Beecham, Edward D Huey, Christiane Reitz
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引用次数: 0

摘要

简介神经精神症状(NPS)在阿尔茨海默病(AD)中非常普遍。目前还没有针对这些症状的有效治疗方法:为了便于确定致病机理途径,我们启动了一项工作(美国国立卫生研究院:U01AG079850),利用阿尔茨海默病测序项目(ADSP)的全基因组测序数据,整理、统一和分析不同血统的所有可用 NPS 数据(≈ 100,000 个样本):这项研究将生成一个阿尔茨海默病基因组资源,其中包括统一的全基因组测序数据和 NPS 表型数据,这些数据将通过 NIAGADS 公开发布。主要分析将包括:(1) 确定与阿兹海默症 NPS 相关的新型遗传风险因素;(2) 描述阿兹海默症 NPS 与原发性精神障碍的共同遗传结构;(3) 评估祖先效应在阿兹海默症 NPS 病因学中的作用:讨论:扩大 ADSP 以协调和完善 NPS 表型,再加上拟议的核心分析,将为揭示不同人群中 AD 这些有害症状的分子机制奠定基础:目前的工作旨在整理、协调和分析来自阿尔茨海默病测序项目的所有 NPS 数据,核心分析将确定潜在的遗传因素和机理途径。
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Disentangling the genetic underpinnings of neuropsychiatric symptoms in Alzheimer's disease in the Alzheimer's Disease Sequencing Project: Study design and methodology.

Introduction: Neuropsychiatric symptoms (NPS) are highly prevalent in Alzheimer's disease (AD). There are no effective treatments targeting these symptoms.

Methods: To facilitate identification of causative mechanistic pathways, we initiated an effort (NIH: U01AG079850) to collate, harmonize, and analyze all available NPS data (≈ 100,000 samples) of diverse ancestries with whole-genome sequencing data from the Alzheimer's Disease Sequencing Project (ADSP).

Results: This study will generate a genomic resource for Alzheimer's disease with both harmonized whole-genome sequencing and NPS phenotype data that will be publicly available through NIAGADS. Primary analyses will (1) identify novel genetic risk factors associated with NPS in AD, (2) characterize the shared genetic architecture of NPS in AD and primary psychiatric disorders, and (3) assess the role of ancestry effects in the etiology of NPS in AD.

Discussion: Expansion of the ADSP to harmonize and refine NPS phenotypes coupled with the proposed core analyses will lay the foundation to disentangle the molecular mechanisms underlying these detrimental symptoms in AD in diverse populations.

Highlights: Neuropsychiatric symptoms (NPS) are highly prevalent in Alzheimer's disease (AD).There are no effective treatments targeting NPS in AD.The current effort aims to collate, harmonize, and analyze all NPS data from the Alzheimer's Disease Sequencing Project.Core analyses will identify underlying genetic factors and mechanistic pathways.The harmonized genomic and phenotypic data from this initiative will be available through National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site.

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来源期刊
CiteScore
7.80
自引率
7.50%
发文量
101
审稿时长
8 weeks
期刊介绍: Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.
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