Correlations between genotype and pharmacological, histological, functional, and clinical phenotypes in malignant hyperthermia susceptibility
Bibliographic record
Abstract
Malignant hyperthermia susceptibility (MHS) is a subclinical pharmacogenetic disorder caused by an impairment of skeletal muscle calcium homeostasis in response to triggering agents. While in vitro contracture testing (IVCT) is the gold standard for defining MHS, molecular analysis is increasingly used to diagnosis MHS. Mutations associated with MHS have been reported in two genes: RYR1 and CACNA1S. Mutations in RYR1 are also responsible for central core disease (CCD), a myopathy that can be associated with a positive IVCT response. We report here the results of correlation studies performed with molecular, pharmacological, histological, and functional data obtained in 175 families (referred to as confirmed (129) or potential (46) MHS families). Extensive molecular analysis allowed us to identify a variant in 60% of the confirmed MHS families, and resulted in the characterization of 11 new variants in the RYR1 gene. Most mutations clustered to MH1 and MH2 domains of RYR1. Functional analysis allowed us to assign a causative role for seven MHS mutations that we propose to add to the panel of MHS mutations used for genetic testing. The use of genetic data to determine MHS status led to a 99.5% sensitivity for IVCT. IVCT-positive/mutation-negative diagnoses were analyzed not only in terms of specificity for IVCT, but also to assess the presence of a second MHS trait in families, and the genetic heterogeneity of the disease. Histological analyses revealed the presence of cores in more than 20% of muscle biopsies originating from 242 genotyped and tested MHS patients who did not present with clinical symptoms. This indicates that these patients must be considered as MHS patients with cores, and are clearly differentiated from CCD patients who have been tested positive for MHS.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".