Blauwendraat Cornelis, Faghri Faraz, Pihlstrom Lasse, Geiger Joshua T, Elbaz Alexis, Lesage Suzanne, Corvol Jean-Christophe, May Patrick, Nicolas Aude, Abramzon Yevgeniya, Murphy Natalie A, Gibbs J Raphael, Ryten Mina, Ferrari Raffaele, Bras Jose, Guerreiro Rita, Williams Julie, Sims Rebecca, Lubbe Steven, Hernandez Dena G, Mok Kin Y, Robak Laurie, Campbell Roy H, Rogaeva Ekaterina, Traynor Bryan J, Chia Ruth, Chung Sun Ju, Hardy John A, Brice Alexis, Wood Nicholas W, Houlden Henry, Shulman Joshua M, Morris Huw R, Gasser Thomas, Krüger Rejko, Heutink Peter, Sharma Manu, Simón-Sánchez Javier, Nalls Mike A, Singleton Andrew B, Scholz Sonja W
Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA; Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Neurobiol Aging. 2017 Sep;57:247.e9-247.e13. doi: 10.1016/j.neurobiolaging.2017.05.009. Epub 2017 May 17.
Genetics has proven to be a powerful approach in neurodegenerative diseases research, resulting in the identification of numerous causal and risk variants. Previously, we introduced the NeuroX Illumina genotyping array, a fast and efficient genotyping platform designed for the investigation of genetic variation in neurodegenerative diseases. Here, we present its updated version, named NeuroChip. The NeuroChip is a low-cost, custom-designed array containing a tagging variant backbone of about 306,670 variants complemented with a manually curated custom content comprised of 179,467 variants implicated in diverse neurological diseases, including Alzheimer's disease, Parkinson's disease, Lewy body dementia, amyotrophic lateral sclerosis, frontotemporal dementia, progressive supranuclear palsy, corticobasal degeneration, and multiple system atrophy. The tagging backbone was chosen because of the low cost and good genome-wide resolution; the custom content can be combined with other backbones, like population or drug development arrays. Using the NeuroChip, we can accurately identify rare variants and impute over 5.3 million common SNPs from the latest release of the Haplotype Reference Consortium. In summary, we describe the design and usage of the NeuroChip array and show its capability for detecting rare pathogenic variants in numerous neurodegenerative diseases. The NeuroChip has a more comprehensive and improved content, which makes it a reliable, high-throughput, cost-effective screening tool for genetic research and molecular diagnostics in neurodegenerative diseases.
遗传学已被证明是神经退行性疾病研究中的一种强大方法,促成了众多致病和风险变异的识别。此前,我们推出了NeuroX Illumina基因分型芯片,这是一个快速高效的基因分型平台,专为研究神经退行性疾病中的遗传变异而设计。在此,我们展示其更新版本,名为NeuroChip。NeuroChip是一种低成本的定制设计芯片,包含约306,670个变异的标签变异主干,并辅以精心挑选的定制内容,该内容由179,467个与多种神经疾病相关的变异组成,这些疾病包括阿尔茨海默病、帕金森病、路易体痴呆、肌萎缩侧索硬化症、额颞叶痴呆、进行性核上性麻痹、皮质基底节变性和多系统萎缩。选择标签主干是因为其成本低且全基因组分辨率良好;定制内容可与其他主干组合,如人群或药物开发芯片。使用NeuroChip,我们可以准确识别罕见变异,并从单倍型参考联盟的最新版本中推算出超过530万个常见单核苷酸多态性。总之,我们描述了NeuroChip芯片的设计和用途,并展示了其在众多神经退行性疾病中检测罕见致病变异的能力。NeuroChip具有更全面和改进的内容,这使其成为神经退行性疾病遗传研究和分子诊断的可靠、高通量、经济高效的筛查工具。