Nalls Mike A, Bras Jose, Hernandez Dena G, Keller Margaux F, Majounie Elisa, Renton Alan E, Saad Mohamad, Jansen Iris, Guerreiro Rita, Lubbe Steven, Plagnol Vincent, Gibbs J Raphael, Schulte Claudia, Pankratz Nathan, Sutherland Margaret, Bertram Lars, Lill Christina M, DeStefano Anita L, Faroud Tatiana, Eriksson Nicholas, Tung Joyce Y, Edsall Connor, Nichols Noah, Brooks Janet, Arepalli Sampath, Pliner Hannah, Letson Chris, Heutink Peter, Martinez Maria, Gasser Thomas, Traynor Bryan J, Wood Nick, Hardy John, Singleton Andrew B
Neurobiol Aging. 2015 Mar;36(3):1605.e7-12. doi: 10.1016/j.neurobiolaging.2014.07.028. Epub 2014 Aug 4.
Our objective was to design a genotyping platform that would allow rapid genetic characterization of samples in the context of genetic mutations and risk factors associated with common neurodegenerative diseases. The platform needed to be relatively affordable, rapid to deploy, and use a common and accessible technology. Central to this project, we wanted to make the content of the platform open to any investigator without restriction. In designing this array we prioritized a number of types of genetic variability for inclusion, such as known risk alleles, disease-causing mutations, putative risk alleles, and other functionally important variants. The array was primarily designed to allow rapid screening of samples for disease-causing mutations and large population studies of risk factors. Notably, an explicit aim was to make this array widely available to facilitate data sharing across and within diseases. The resulting array, NeuroX, is a remarkably cost and time effective solution for high-quality genotyping. NeuroX comprises a backbone of standard Illumina exome content of approximately 240,000 variants, and over 24,000 custom content variants focusing on neurologic diseases. Data are generated at approximately $50-$60 per sample using a 12-sample format chip and regular Infinium infrastructure; thus, genotyping is rapid and accessible to many investigators. Here, we describe the design of NeuroX, discuss the utility of NeuroX in the analyses of rare and common risk variants, and present quality control metrics and a brief primer for the analysis of NeuroX derived data.
我们的目标是设计一个基因分型平台,该平台能够在与常见神经退行性疾病相关的基因突变和风险因素的背景下,对样本进行快速的基因特征分析。该平台需要相对经济实惠、易于部署,并采用常见且易于获取的技术。对于这个项目来说,关键在于我们希望该平台的内容对任何研究者都毫无限制地开放。在设计这个阵列时,我们优先考虑纳入多种类型的基因变异,例如已知的风险等位基因、致病突变、推定的风险等位基因以及其他功能上重要的变体。该阵列主要用于快速筛查样本中的致病突变以及对风险因素进行大规模人群研究。值得注意的是,一个明确的目标是让这个阵列广泛可用,以促进不同疾病之间以及疾病内部的数据共享。由此产生的NeuroX阵列是一种用于高质量基因分型的极具成本效益和时间效率的解决方案。NeuroX包含大约24万个变体的标准Illumina外显子内容主干,以及超过2.4万个专注于神经疾病的定制内容变体。使用12样本格式芯片和常规的Infinium基础设施,每个样本生成数据的成本约为50 - 60美元;因此,基因分型速度快,许多研究者都可以进行。在这里,我们描述了NeuroX的设计,讨论了NeuroX在分析罕见和常见风险变体中的效用,并展示了质量控制指标以及对NeuroX衍生数据进行分析的简要入门指南。