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Classification of missense variants in the N-methyl-d-aspartate receptor GRIN gene family as gain- or loss-of-function
Advances in sequencing technology have generated a large amount of genetic data from patients with neurological conditions. These data have provided diagnosis of many rare diseases, including a number of pathogenic de novo missense variants in GRIN genes encoding N-methyl-d-aspartate receptors (NMDA...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508039/ https://www.ncbi.nlm.nih.gov/pubmed/37369021 http://dx.doi.org/10.1093/hmg/ddad104 |
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author | Myers, Scott J Yuan, Hongjie Perszyk, Riley E Zhang, Jing Kim, Sukhan Nocilla, Kelsey A Allen, James P Bain, Jennifer M Lemke, Johannes R Lal, Dennis Benke, Timothy A Traynelis, Stephen F |
author_facet | Myers, Scott J Yuan, Hongjie Perszyk, Riley E Zhang, Jing Kim, Sukhan Nocilla, Kelsey A Allen, James P Bain, Jennifer M Lemke, Johannes R Lal, Dennis Benke, Timothy A Traynelis, Stephen F |
author_sort | Myers, Scott J |
collection | PubMed |
description | Advances in sequencing technology have generated a large amount of genetic data from patients with neurological conditions. These data have provided diagnosis of many rare diseases, including a number of pathogenic de novo missense variants in GRIN genes encoding N-methyl-d-aspartate receptors (NMDARs). To understand the ramifications for neurons and brain circuits affected by rare patient variants, functional analysis of the variant receptor is necessary in model systems. For NMDARs, this functional analysis needs to assess multiple properties in order to understand how variants could impact receptor function in neurons. One can then use these data to determine whether the overall actions will increase or decrease NMDAR-mediated charge transfer. Here, we describe an analytical and comprehensive framework by which to categorize GRIN variants as either gain-of-function (GoF) or loss-of-function (LoF) and apply this approach to GRIN2B variants identified in patients and the general population. This framework draws on results from six different assays that assess the impact of the variant on NMDAR sensitivity to agonists and endogenous modulators, trafficking to the plasma membrane, response time course and channel open probability. We propose to integrate data from multiple in vitro assays to arrive at a variant classification, and suggest threshold levels that guide confidence. The data supporting GoF and LoF determination are essential to assessing pathogenicity and patient stratification for clinical trials as personalized pharmacological and genetic agents that can enhance or reduce receptor function are advanced. This approach to functional variant classification can generalize to other disorders associated with missense variants. |
format | Online Article Text |
id | pubmed-10508039 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105080392023-09-20 Classification of missense variants in the N-methyl-d-aspartate receptor GRIN gene family as gain- or loss-of-function Myers, Scott J Yuan, Hongjie Perszyk, Riley E Zhang, Jing Kim, Sukhan Nocilla, Kelsey A Allen, James P Bain, Jennifer M Lemke, Johannes R Lal, Dennis Benke, Timothy A Traynelis, Stephen F Hum Mol Genet Original Article Advances in sequencing technology have generated a large amount of genetic data from patients with neurological conditions. These data have provided diagnosis of many rare diseases, including a number of pathogenic de novo missense variants in GRIN genes encoding N-methyl-d-aspartate receptors (NMDARs). To understand the ramifications for neurons and brain circuits affected by rare patient variants, functional analysis of the variant receptor is necessary in model systems. For NMDARs, this functional analysis needs to assess multiple properties in order to understand how variants could impact receptor function in neurons. One can then use these data to determine whether the overall actions will increase or decrease NMDAR-mediated charge transfer. Here, we describe an analytical and comprehensive framework by which to categorize GRIN variants as either gain-of-function (GoF) or loss-of-function (LoF) and apply this approach to GRIN2B variants identified in patients and the general population. This framework draws on results from six different assays that assess the impact of the variant on NMDAR sensitivity to agonists and endogenous modulators, trafficking to the plasma membrane, response time course and channel open probability. We propose to integrate data from multiple in vitro assays to arrive at a variant classification, and suggest threshold levels that guide confidence. The data supporting GoF and LoF determination are essential to assessing pathogenicity and patient stratification for clinical trials as personalized pharmacological and genetic agents that can enhance or reduce receptor function are advanced. This approach to functional variant classification can generalize to other disorders associated with missense variants. Oxford University Press 2023-06-27 /pmc/articles/PMC10508039/ /pubmed/37369021 http://dx.doi.org/10.1093/hmg/ddad104 Text en © The Author(s) 2023. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Myers, Scott J Yuan, Hongjie Perszyk, Riley E Zhang, Jing Kim, Sukhan Nocilla, Kelsey A Allen, James P Bain, Jennifer M Lemke, Johannes R Lal, Dennis Benke, Timothy A Traynelis, Stephen F Classification of missense variants in the N-methyl-d-aspartate receptor GRIN gene family as gain- or loss-of-function |
title | Classification of missense variants in the N-methyl-d-aspartate receptor GRIN gene family as gain- or loss-of-function |
title_full | Classification of missense variants in the N-methyl-d-aspartate receptor GRIN gene family as gain- or loss-of-function |
title_fullStr | Classification of missense variants in the N-methyl-d-aspartate receptor GRIN gene family as gain- or loss-of-function |
title_full_unstemmed | Classification of missense variants in the N-methyl-d-aspartate receptor GRIN gene family as gain- or loss-of-function |
title_short | Classification of missense variants in the N-methyl-d-aspartate receptor GRIN gene family as gain- or loss-of-function |
title_sort | classification of missense variants in the n-methyl-d-aspartate receptor grin gene family as gain- or loss-of-function |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508039/ https://www.ncbi.nlm.nih.gov/pubmed/37369021 http://dx.doi.org/10.1093/hmg/ddad104 |
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