Abstract 16468: Results of Research Genetic Testing in Pediatric Cardiomyopathy Patients Justify Broader Clinical Genetic Testing
Bibliographic record
Abstract
Introduction: Pediatric cardiomyopathies are genetically heterogeneous diseases with high risk of death or cardiac transplant. Despite progress in identifying causes, the majority of cases remain idiopathic. Currrently, genetic testing is not performed in all children with cardiomyopathy. Gene identification leads to better individual risk stratification and has the potential to stimulate the development of therapies based on the underlying mutation. The aim of this study is to identify genetic mutations in pediatric cardiomyopathy patients using whole exome sequencing. Hypothesis: Sarcomeric mutations are under-diagnosed causes of all forms of cardiomyopathy in children. Methods: Probands with cardiomyopathy were recruited from 11 institutions. Results of clinical genetic testing prior to enrollment were collected. Whole exome sequencing was performed and mutations were identified in 35 genes currently available on clinical genetic testing panels. Results: The initial 154 probands subjected to exome included 78 patients with DCM, 43 with HCM, 14 with RCM, and 19 with LVNC, mixed, or unknown types. Familial disease was present in 38% and the remainder were idiopathic. Twenty-seven percent had positive clinical genetic testing prior to enrollment. Exome testing identified mutations in 38 subjects who had not had clinical testing, increasing the cohort positive testing rate to 55% (DCM, 34.6%; HCM, 74.4%; RCM, 71.4%). Forty-five percent of subjects with no family history of disease had an identifiable mutation. Conclusions: Pediatric cardiomyopathy patients have a high incidence of mutations that can be identified by clinically available genetic testing. Lack of a family history of cardiomyopathy was not predictive of normal genetic testing. These results support the broader use of genetic testing in pediatric patients with all functional phenotypes of cardiomyopathy to identify disease causation allowing better family risk stratification.
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".