Journal Article

DZNE-2024-01333

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png NeuroBooster Array: A Genome-Wide Genotyping Platform to Study Neurological Disorders Across Diverse Populations.

Bandres-Ciga, S. ; Faghri, F. ; Majounie, E. ; Koretsky, M. J. ; Kim, J. ; Levine, K. S. ; Leonard, H. ; Makarious, M. B. ; Iwaki, H. ; Crea, P. W. ; Hernandez, D. G. ; Arepalli, S. ; Billingsley, K. ; Lohmann, K. ; Klein, C. ; Lubbe, S. J. ; Jabbari, E. ; Saffie-Awad, P. ; Narendra, D. ; Reyes-Palomares, A. ; Quinn, J. P. ; Schulte, C.DZNE* ; Morris, H. R. ; Traynor, B. J. ; Scholz, S. W. ; Houlden, H. ; Hardy, J. ; Dumanis, S. ; Riley, E. ; Blauwendraat, C. ; Singleton, A. ; Nalls, M. ; Jeff, J. ; Vitale, D. ; Alzheimer's, G. P. G. P. a. t. C. f. (GP2) ; Dementias, R. (Collaboration Author)

2024
Wiley New York, NY

This record in other databases:    

Please use a persistent id in citations: doi:10.1002/mds.29902

Abstract: Commercial genome-wide genotyping arrays have historically neglected coverage of genetic variation across populations.We aimed to create a multi-ancestry genome-wide array that would include a wide range of neuro-specific genetic content to facilitate genetic research in neurological disorders across multiple ancestral groups, fostering diversity and inclusivity in research studies.We developed the Illumina NeuroBooster Array (NBA), a custom high-throughput and cost-effective platform on a backbone of 1,914,934 variants from the Infinium Global Diversity Array and added custom content comprising 95,273 variants associated with more than 70 neurological conditions or traits, and we further tested its performance on more than 2000 patient samples. This novel platform includes approximately 10,000 tagging variants to facilitate imputation and analyses of neurodegenerative disease-related genome-wide association study loci across diverse populations.In this article, we describe NBA's potential as an efficient means for researchers to assess known and novel disease genetic associations in a multi-ancestry framework. The NBA can identify rare genetic variants and accurately impute more than 15 million common variants across populations. Apart from enabling sample prioritization for further whole-genome sequencing studies, we envisage that NBA will play a pivotal role in recruitment for interventional studies in the precision medicine space.From a broader perspective, the NBA serves as a promising means to foster collaborative research endeavors in the field of neurological disorders worldwide. Ultimately, this carefully designed tool is poised to make a substantial contribution to uncovering the genetic etiology underlying these debilitating conditions. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

Keyword(s): Humans (MeSH) ; Genome-Wide Association Study: methods (MeSH) ; Nervous System Diseases: genetics (MeSH) ; Genotype (MeSH) ; Genetic Variation: genetics (MeSH) ; Genotyping Techniques: methods (MeSH) ; Polymorphism, Single Nucleotide: genetics (MeSH) ; Genetic Predisposition to Disease: genetics (MeSH) ; Centre for Alzheimer's and Related Dementias ; Global Parkinson's Genetics Program ; NeuroBooster array ; diversity ; genetic screening ; genotyping ; neurological diseases

---

Contributing Institute(s):

1. Parkinson Genetics (AG Gasser)

Research Program(s):

1. 353 - Clinical and Health Care Research (POF4-353) (POF4-353)

Appears in the scientific report 2024

---

Database coverage:
; ; ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Current Contents - Life Sciences ; DEAL Wiley ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; Nationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

---

---

Linked articles:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Dataset Leonard, H. ; Nalls, M. ; Vitale, D. ; Koretsky, M. ; Levine, K. ; Makarious, M. ; Fang, Z.-H. (Last author)DZNE*
Dataset: Global Parkinson's Genetics Program Data Release 5, v1
Zenodo (2023) [10.5281/zenodo.7904832]2023 BibTeX | EndNote: XML, Text | RIS

---