P.120 Case series: Clinical and genetic spectrum of SCN8A-related disorders in British Columbia
Bibliographic record
Abstract
Background: Children with pathogenic variations in SCN8A can present with early infantile epileptic encephalopathy-13, benign familial infantile seizures-5 or intellectual disability alone without epilepsy. In this case series, we discuss six children with variants in SCN8A managed at BC Children’s Hospital. Methods: We describe clinical and genetic results on six individuals with SCN8A variants identified via clinical or research next-generation sequencing. Functional consequences of two SCN8A variants were assessed using electrophysiological analyses in transfected cells. Results: Clinical findings ranged from normal development with well-controlled epilepsy to significant developmental delay with treatment-resistant epilepsy. Phenotypes and genotypes in our cohort are described in the table below. Functional analysis supported gain-of-function in P2 and loss-of-function in P4. Conclusions: Our cohort expands the clinical and genotypic spectrum of SCN8A-related disorders. We establish functional evidence for two missense variants in SCN8A, including LoF variant in a patient with intellectual disability, and autism spectrum disorder without seizures.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".