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Record W4403035922 · doi:10.1002/iub.2918

Characterization of a novel heterozygous variant in the histidyl‐<scp>tRNA</scp> synthetase gene associated with <scp>Charcot–Marie–Tooth</scp> disease type <scp>2W</scp>

2024· article· en· W4403035922 on OpenAlexafffund
Sarah D. P. Wilhelm, Angélica Moresco, Alberto Rivero, Victoria Mok Siu, Ilka U. Heinemann

Bibliographic record

VenueIUBMB Life · 2024
Typearticle
Languageen
FieldNeuroscience
TopicHereditary Neurological Disorders
Canadian institutionsChildren’s Health Research InstituteWestern University
FundersInstitute of GeneticsOntario Ministry of Research and InnovationNatural Sciences and Engineering Research Council of CanadaCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
KeywordsGeneRecombinant DNATooth diseaseBiologyYeastSaccharomyces cerevisiaeHistidineTransfer RNAGeneticsMolecular biologyEnzymeBiochemistryRNA

Abstract

fetched live from OpenAlex

Heterozygous pathogenic variants in the histidyl-tRNA synthetase (HARS) gene are associated with Charcot-Marie-Tooth (CMT) type 2W disease, classified as an axonal peripheral neuropathy. To date, at least 60 variants causing CMT symptoms have been identified in seven different aminoacyl-tRNA synthetases, with eight being found in the catalytic domain of HARS. The genetic data clearly show a causative role of aminoacyl-tRNA synthetases in CMT; however, the cellular mechanisms leading to pathology can vary widely and are unknown in the case of most identified variants. Here we describe a novel HARS variant, c.412T>C; p.Y138H, identified through a CMT gene panel in a patient with peripheral neuropathy. To determine the effect of p.Y138H we employed a humanized HARS yeast model and recombinant protein biochemistry, which identified a deficiency in protein dimerization and a growth defect which shows mild but significant improvement with histidine supplementation. This raises the potential for a clinical trial of histidine.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.031
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.843
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.031
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.244
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2024
Admission routes2
Has abstractyes

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