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Two novel missense mutations in <i>FGD4/FRABIN</i> cause Charcot‐Marie‐Tooth type 4H (CMT4H)

2012· article· en· W2000038554 on OpenAlexfundno aff
Cécile Baudot, Clothilde Estève, Christel Castro, Yannick Poitelon, Camille Mas, Tarik Hamadouche, Maryam El‐Rajab, Nicolas Lévy, André Mégarbané, Valérie Delague

Bibliographic record

VenueJournal of the Peripheral Nervous System · 2012
Typearticle
Languageen
FieldNeuroscience
TopicHereditary Neurological Disorders
Canadian institutionsnot available
FundersAgence Universitaire de la Francophonie
KeywordsMissense mutationTooth diseaseGeneticsMedicineMutationCoding regionBiologyGene

Abstract

fetched live from OpenAlex

By sequencing of the FGD4 coding sequence in a cohort of 101 patients affected by autosomal recessive demyelinating Charcot-Marie-Tooth disease (CMT), we have identified two novel missense mutations in FGD4 in two patients from consanguineous descent: p.Arg442His in an Algerian patient and p.Met566Ile in a Lebanese girl. The patients present early onset, slowly progressive CMT, with drastic reduction of nerve conduction velocities. These mutations are the second and third missense mutations characterized in FGD4. They are likely to lead to conformational changes in the PH1 and FYVE domains.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.048
GPT teacher head0.280
Teacher spread0.232 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations21
Published2012
Admission routes1
Has abstractyes

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Same venueJournal of the Peripheral Nervous SystemSame topicHereditary Neurological DisordersFrench-language works237,207