Faculty Opinions recommendation of Loss of Ca(v)1.3 (CACNA1D) function in a human channelopathy with bradycardia and congenital deafness.
Bibliographic record
Abstract
Deafness is genetically very heterogeneous and forms part of several syndromes. So far, delayed rectifier potassium channels have been linked to human deafness associated with prolongation of the QT interval on electrocardiograms and ventricular arrhythmia in Jervell and Lange-Nielsen syndrome. Ca(v)1.3 voltage-gated L-type calcium channels (LTCCs) translate sound-induced depolarization into neurotransmitter release in auditory hair cells and control diastolic depolarization in the mouse sinoatrial node (SAN). Human deafness has not previously been linked to defects in LTCCs. We used positional cloning to identify a mutation in CACNA1D, which encodes the pore-forming α1 subunit of Ca(v)1.3 LTCCs, in two consanguineous families with deafness. All deaf subjects showed pronounced SAN dysfunction at rest. The insertion of a glycine residue in a highly conserved, alternatively spliced region near the channel pore resulted in nonconducting calcium channels that had abnormal voltage-dependent gating. We describe a human channelopathy (termed SANDD syndrome, sinoatrial node dysfunction and deafness) with a cardiac and auditory phenotype that closely resembles that of Cacna1d(-/-) mice. PMID: 21131953 Funding information This work was supported by: Austrian Science Fund FWF, Austria Grant ID: W 1101 Austrian Science Fund FWF, Austria Grant ID: P 20670
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.516 | 0.288 |
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".