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García-Recio A, Santos-Gómez A, Soto D, Julia-Palacios N, García-Cazorla À, Altafaj X, Olivella M. GRIN database: A unified and manually curated repertoire of GRIN variants. Hum Mutat 2020; 42:8-18. [PMID: 33252190 DOI: 10.1002/humu.24141] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 10/13/2020] [Accepted: 11/16/2020] [Indexed: 12/22/2022]
Abstract
Glutamatergic neurotransmission is crucial for brain development, wiring neuronal function, and synaptic plasticity mechanisms. Recent genetic studies showed the existence of autosomal dominant de novo GRIN gene variants associated with GRIN-related disorders (GRDs), a rare pediatric neurological disorder caused by N-methyl- d-aspartate receptor (NMDAR) dysfunction. Notwithstanding, GRIN variants identification is exponentially growing and their clinical, genetic, and functional annotations remain highly fragmented, representing a bottleneck in GRD patient's stratification. To shorten the gap between GRIN variant identification and patient stratification, we present the GRIN database (GRINdb), a publicly available, nonredundant, updated, and curated database gathering all available genetic, functional, and clinical data from more than 4000 GRIN variants. The manually curated GRINdb outputs on a web server, allowing query and retrieval of reported GRIN variants, and thus representing a fast and reliable bioinformatics resource for molecular clinical advice. Furthermore, the comprehensive mapping of GRIN variants' genetic and clinical information along NMDAR structure revealed important differences in GRIN variants' pathogenicity and clinical phenotypes, shedding light on GRIN-specific fingerprints. Overall, the GRINdb and web server is a resource for molecular stratification of GRIN variants, delivering clinical and investigational insights into GRDs. GRINdb is accessible at http://lmc.uab.es/grindb.
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Affiliation(s)
- Adrián García-Recio
- Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.,Laboratori de Medicina Computacional, Unitat de Bioestadística, Facultat de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Ana Santos-Gómez
- Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.,Neurophysiology Laboratory, Department of Biomedicine, Institute of Neurosciences, Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - David Soto
- Neurophysiology Laboratory, Department of Biomedicine, Institute of Neurosciences, Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain.,August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Natalia Julia-Palacios
- Neurometabolic Unit, Department of Neurology, Hospital Sant Joan de Déu and CIBERER, Barcelona, Spain
| | - Àngels García-Cazorla
- Neurometabolic Unit, Department of Neurology, Hospital Sant Joan de Déu and CIBERER, Barcelona, Spain
| | - Xavier Altafaj
- Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.,Neurophysiology Laboratory, Department of Biomedicine, Institute of Neurosciences, Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Mireia Olivella
- School of International Studies, ESCI-UPF, Barcelona, Spain.,Bioinfomatics and Medical Statistics Group, University of Vic-Central University of Catalonia, Vic, Spain
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