Pathogenic <i>DNM1</i> Gene Variant Presenting With Unusually Nonsevere Neurodevelopmental Phenotype: A Case Report
Bibliographic record
Abstract
<h3>Background and Objectives</h3> To date, all reports of pathogenic variants affecting the GTPase domain of the <i>DNM1</i> gene have a clinically severe neurodevelopmental phenotype, including severe delays or intractable epilepsy. We describe a case with moderate developmental delays and self-resolved epilepsy. <h3>Methods</h3> The patient was followed by our neurology and genetics teams. After clinical examination and EEG to characterize the patient9s presentation, we conducted etiologic workup including brain MRI, chromosomal microarray, genetic and metabolic investigations, and nerve conduction studies. Subsequently, we arranged an Intellectual Disability Plus Trio Panel. <h3>Results</h3> Our patient presented with seizures at 2 days old, requiring phenobarbital. She also had hypotonia, mild dysmorphic features, and mild ataxia. Although initial workup returned unremarkable, the trio gene panel identified a de novo heterozygous pathogenic missense variant in the <i>DNM1</i> GTPase domain. Now 4 years old, she has been seizure-free for 3 years without ongoing treatment and has nonsevere developmental delays (e.g., ambulates independently and speaks 2-word phrases). <h3>Discussion</h3> Our case confirms that not all individuals with <i>DNM1</i> pathogenic variants, even affecting the GTPase domain, will present with intractable epilepsy or severe delays. Expanding the known clinical spectrum of dynamin-related neurodevelopmental disorder is crucial for patient prognostication and counseling.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".