Artigo Acesso aberto Revisado por pares

NeuroChip, an updated version of the NeuroX genotyping platform to rapidly screen for variants associated with neurological diseases

2017; Elsevier BV; Volume: 57; Linguagem: Inglês

10.1016/j.neurobiolaging.2017.05.009

ISSN

1558-1497

Autores

Cornelis Blauwendraat, Faraz Faghri, Lasse Pihlstrøm, Joshua T. Geiger, Alexis Elbaz, Suzanne Lesage, Jean‐Christophe Corvol, Patrick May, Aude Nicolas, Yevgeniya Abramzon, Natalie A. Murphy, J. Raphael Gibbs, Mina Ryten, Raffaele Ferrari, José Brás, Rita Guerreiro, Julie Williams, Rebecca Sims, Steven Lubbe, Dena Hernandez, Kin Y. Mok, Laurie Robak, Roy H. Campbell, Ekaterina Rogaeva, Bryan J. Traynor, Ruth Chia, Sun Ju Chung, John Hardy, Alexis Brice, Nicholas Wood, Henry Houlden, Joshua Shulman, Huw R. Morris, Thomas Gasser, Rejko Krüger, Peter Heutink, Manu Sharma, Javier Simón‐Sánchez, Mike A. Nalls, Andrew B. Singleton, Sonja W. Scholz,

Tópico(s)

Genomics and Rare Diseases

Resumo

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.

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