Neurologic and neurodevelopmental complications in cardiofaciocutaneous syndrome are associated with genotype: A multinational cohort study
Bibliographic record
Abstract
PURPOSE: Dysregulation of RAS or its major effector pathway is the molecular mechanism of RASopathies, a group of multisystemic congenital disorders. Neurologic complications are especially challenging in the management of the rare RASopathy cardiofaciocutaneous (CFC) syndrome. This study evaluated clinical neurologic and neurodevelopmental features and their associations with CFC syndrome gene variants. METHODS: A multinational cohort of 138 individuals with CFC syndrome (BRAF = 90, MAP2K1 = 36, MAP2K2 = 10, KRAS = 2) was recruited. Neurologic presentation was captured via clinician review of medical records and caregiver-completed electronic surveys. Validated measures of seizure severity, adaptive function, and gross motor function were obtained. RESULTS: The overall frequency of intellectual disability and seizures was 82% and 55%, respectively. The frequency and severity of seizures was higher among individuals with BRAF or MAP2K1 variants than in those with MAP2K2 variants. A disproportionate incidence of severe, treatment-resistant seizures was observed in patients with variants in the catalytic protein kinase domain of BRAF and at the common p.Y130 site of MAP2K1. Neurodevelopmental outcomes were associated with genotype as well as seizure severity. CONCLUSION: Molecular genetic testing can aid in prediction of epilepsy and neurodevelopmental phenotypes in CFC syndrome. Study results identified potential CFC syndrome-associated variants in the development of relevant animal models for neurologic, neurocognitive, and motor function impairment.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".