<i>De novo</i> variants in <i>SNAP25</i> cause an early-onset developmental and epileptic encephalopathy
Bibliographic record
Abstract
ABSTRACT Purpose This study aims to provide the first comprehensive description of the phenotypic and genotypic spectrum of SNAP25 developmental and epileptic encephalopathy (SNAP25- DEE) by reviewing newly identified and previously reported individuals. Methods Individuals harboring heterozygous missense or truncating variants in SNAP25 were assembled through collaboration with international colleagues, matchmaking platforms and literature review. For each individual, detailed phenotyping, classification and structural modeling of the identified variant was performed. Results The cohort comprises 20 individuals with (likely) pathogenic de novo variants in SNAP25 . Intellectual disability and early-onset epilepsy were identified as the core symptoms of SNAP25 -DEE, with recurrent findings of movement disorders, cortical visual impairment and brain atrophy. Structural modeling for all variants predicted possible functional defects concerning SNAP25 or impaired interaction with other components of the SNARE complex. Conclusion We provide a first comprehensive description of SNAP25 -DEE with intellectual disability and early onset epilepsy mostly occurring before the age of two years. These core symptoms and additional recurrent phenotypes show an overlap to genes encoding other components or associated proteins of the SNARE complex such as STX1B, STXBP1 or VAMP2 . Thus, these findings advance the concept of a group of neurodevelopmental disorders that may be termed “SNAREopathies”.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".