The contribution of <i>RBM20</i> truncating variants to human cardiomyopathy
Bibliographic record
Abstract
Abstract Background Genetic diagnosis has become increasingly important to guide clinical decision making for patients with dilated cardiomyopathy (DCM). Disease-causing (P/LP) missense variants in the gene RBM20 cause a highly penetrant arrhythmogenic dilated cardiomyopathy (DCM), but the role of truncating RBM20 variants ( RBM20tvs ) is unclear. Objective Assess the contribution of RBM20tvs to DCM. Methods We assembled an international cohort of DCM patients with RBM20 variants and used data from the genome-first UK Biobank (UKB) to assess the etiologic fraction, natural history and penetrance of RBM20tvs . Results The etiologic fraction of RBM20tvs in arrhythmogenic DCM was modest (0.53[0.32,0.67], p=7.5×10 -5 ). RBM20tv DCM patients presented to referral centers later in life than RBM20 P/LP DCM patients (53±10 vs. 34±18 years, p=4×10 -3 ), and were less likely to have a family history of sudden cardiac arrest (20% vs. 65%, p= 0.046) or cardiomyopathy (20% vs. 78% p=5.4×10 -3 ). There was no significant difference in age- and sex-adjusted incident major heart failure or arrhythmia events between RBM20tv and RBM20 P/LP DCM patients, though sex-adjusted lifetime hazard was reduced in RBM20tv DCM (HR 0.15[0.03,0.66],p=0.009). In UKB, lifetime incidence of cardiomyopathy, heart failure, or major ventricular arrhythmia diagnosis was lower in participants with RBM20tvs than in those with TTNtvs (HR 0.55 [0.36,0.84], p=5.9×10 -3 ). Conclusions RBM20tvs contribute to arrhythmogenic DCM phenotypes, but confer milder disease severity alone than RBM20 P/LP variants, and reduced lifetime disease penetrance compared to TTNtvs . Their potential for additive interactions with other damaging variants should be considered in DCM patients and families.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".