Evidence map›Paper›PMID 37369021›Full record

ArticleHuman molecular genetics2023

Classification of missense variants in the N-methyl-d-aspartate receptor GRIN gene family as gain- or loss-of-function.

Scott J Myers, Hongjie Yuan, Riley E Perszyk, Jing Zhang, Sukhan Kim, Kelsey A Nocilla, James P Allen, Jennifer M Bain, Johannes R Lemke, Dennis Lal and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Human molecular genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 24 citations in OpenAlex.

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  8. Editorial - Patient perspectives on new therapies for genetic diseases.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 2 countries.

Scott J MyersDepartment of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA 30322, USA.
Hongjie YuanDepartment of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA 30322, USA.ORCID 0000-0002-8127-7145
Riley E PerszykDepartment of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA 30322, USA.
Jing ZhangDepartment of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA 30322, USA.
Sukhan KimDepartment of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA 30322, USA.
Kelsey A NocillaDepartment of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA 30322, USA.
James P AllenDepartment of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA 30322, USA.
Jennifer M BainDepartment of Neurology, Division of Child Neurology, Columbia University Irving Medical Center, New York, NY 10032, USA.ORCID 0000-0002-6642-8902
Johannes R LemkeInstitute of Human Genetics, University of Leipzig Medical Center, Leipzig 04103, Germany.
Dennis LalGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44106, USA.
Timothy A BenkeDepartment of Pediatrics, Pharmacology and Neurology, University of Colorado School of Medicine, and Children's Hospital Colorado, Aurora, CO 80045, USA.
Stephen F TraynelisDepartment of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA 30322, USA.ORCID 0000-0002-3750-9615
Emory University · USBroad Institute · USColumbia University Irving Medical Center · USLeipzig University · DEThe Medical Center of Aurora · US

Funding

Project 3 - Development and investigation of murine models of channelopathy-associated epilepsyU54NS108874 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KEARNEY, JENNIFER A · 2018 to 2022
$12.1M
Glutamate receptors and human neurological diseaseR35NS111619 · NINDS · EMORY UNIVERSITY · PI Stephen F Traynelis · 2019 to 2026
$6.6M
NMDAR Mutations & Neurodevelopmental Disorder: from Mechanism to Targeted TherapyR01HD082373 · NICHD · EMORY UNIVERSITY · PI YUAN, HONGJIE · 2015 to 2025
$3.3M
Subtype-selective NMDA ligands for Alzheimer's DiseaseR01AG075444 · NIA · EMORY UNIVERSITY · PI LIANG, STEVEN H · 2022 to 2025
$3.1M
Use of Bioinformatics and Genetics to Identify a New Class of Drugs for Neurological DiseaseR21AG072142 · NIA · EMORY UNIVERSITY · PI MYERS, SCOTT JAMES · 2021 to 2021
$425k
NIA NIH HHS R01 AG075444NIA NIH HHS R21 AG072142NICHD NIH HHS R01 HD082373NINDS NIH HHS R35 NS111619NINDS NIH HHS U54 NS108874
6 · The paper itself

Abstract

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.

Indexed as

Nervous System DiseasesReceptors, N-Methyl-D-AspartateHumansModels, BiologicalMutation, MissenseNeuronsReceptors, N-Methyl-D-Aspartate

Identifiers

PMID37369021
PMCPMC10508039
OpenAlexW4382197667

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.