The occurrence of Brugada syndrome and isolated cardiac conductive disease in the same family could be due to a single SCN5A mutation or to the accidental association of both diseases
Bibliographic record
Abstract
AIMS: The distinct cardiac arrhythmia diseases, Brugada syndrome (BS) and isolated cardiac conduction disease (ICCD) are caused by heterozygous mutations in the SCN5A gene. Previous studies have demonstrated an intriguing association between ICCD and BS with the same mutation in the SCN5A gene. METHODS AND RESULTS: The proband of a multigenerational family presented BS and a familial history of sudden death. We performed clinical evaluations in family members including drug testing and screening for SCN5A mutations. Based on electrocardiogram features, we identified four individuals with BS, two with ICCD and one compatible with both. For five individuals, one with BS and ICCD, three with BS and one with ICCD, we characterized a heterozygous C- to T- mutation at position 4313 (P1438L) in the SCN5A gene. Expression studies of the P1438L mutation showed non-functional channels. The proband's father with the BS phenotype was not a carrier of the new SCN5A mutation. CONCLUSION: We report the case of a family with BS and/or ICCD and describe a novel mutation, the P1438L SCN5A mutation. In this family, the occurrence of BS and ICCD could be due to this single mutation but also to the accidental association of both diseases.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".