Heterozygous mutations in <i>ERF</i> cause syndromic craniosynostosis with multiple suture involvement
Bibliographic record
Abstract
Craniosynostosis is a clinically and genetically heterogeneous condition. Knowledge of the specific genetic diagnosis in patients presenting with this condition is important for surgical and medical management. The most common single gene causes of syndromic craniosynostosis are mutations in FGFR1, FGFR2, FGFR3, TWIST1, and EFNB1. Recently, a new single gene cause of craniosynostosis was published, together with phenotype data that highlight the clinical importance of making this specific molecular diagnosis. Phenotypic features of "ERF-related craniosynostosis" include sagittal or multiple-suture synostosis, Chiari malformation, and language delay. In order to determine the contribution of ERF mutations to genetically undiagnosed patients with craniosynostosis, we sequenced the coding regions of ERF in 40 patients with multi-suture or sagittal suture synostosis. We identified heterozygous ERF mutations in two individuals (5%). One mutation positive individual had pansynostosis, while the second had bilateral coronal and metopic synostosis. Both presented in infancy or childhood (age 3 months, and 6 years 9 months, respectively). One had CNS abnormalities including Chiari I malformation. Dysmorphic features included hypertelorism, proptosis, depressed nasal bridge, and retrognathia, in keeping with previously reported cases. The individuals did not require repeated cranial surgeries. ERF-related craniosynostosis should be suspected in patients presenting with multiple suture or sagittal synostosis.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".