Comprehensive genetic sequence and copy number analysis for Charcot-Marie-Tooth disease in a Canadian cohort of 2517 patients
Bibliographic record
Abstract
Charcot-Marie-Tooth disease (CMT) is one of the most common Mendelian disorders characterised by genetic heterogeneity, progressive distal muscle weakness and atrophy, foot deformities and distal sensory loss. In this report, we describe genetic testing data including comprehensive sequencing and copy number analysis of 34 CMT-related genes in a Canadian cohort of patients with suspected CMT. We have demonstrated a notable gender testing bias, with an overall diagnostic yield of 15% in males and 21% in females. We have identified a large number of novel pathogenic variants as well as variants of unknown clinical significance in CMT-related genes. In this largest to date analysis of gene CNVs in CMT, in addition to the common PMP22 deletion/duplication, we have described a significant contribution of pathogenic CNVs in several CMT-related genes. This study significantly expand the mutational spectrum of CMT genes, while demonstrating the clinical utility of a comprehensive sequence and copy number next-generation sequencing-based clinical genetic testing in patients with suspected diagnosis of CMT.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".