Phenotypic variability of CMT4C in a French‐Canadian kindred
Bibliographic record
Abstract
INTRODUCTION: Charcot-Marie-Tooth type 4C (CMT4C) is an autosomal recessive dysmyelinating neuropathy characterized by precocious and rapidly progressive scoliosis. METHODS: Patients in a French-Canadian kindred were evaluated with clinical examination, electrophysiologic study, and genomic DNA extraction. RESULTS: Six of 10 siblings were clinically symptomatic with supportive electrophysiologic features. The proband presented with regional side-to-side sensorimotor asymmetry, typical pes cavus without obvious scoliosis, and unremarkable plain films of the spine. Affected siblings all share symptoms of foot deformity but have variable onset of neuropathic symptoms, degree of extremity weakness, progression of symptoms, and, most notably, evidence of scoliosis. DNA sequence analysis revealed a novel combination of 2 known recessive mutations, p.R904X and p.R954X, in the SH3TC2 gene. CONCLUSIONS: A broad spectrum of phenotypes should be considered in the possible diagnosis of CMT4C. The absence of scoliosis or late-onset symptoms should not exclude SH3TC2 from the list of candidate genes under consideration. Age of onset and clinical features were variable and suggest that polygenic factors contribute to the final phenotype.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".