Genotype-Phenotype Landscape of <i>NALCN</i> and <i>UNC80</i> -Related Disorders
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: , both resulting in a loss-of-function (LOF). This study aims to expand the phenotypes associated with these syndromes, exploring potential genotype-phenotype associations. METHODS: . Phenotypes were evaluated through a structured interview, questionnaires, and review of medical records. Associations between variants, clinical features, and syndromes were analyzed. RESULTS: = 0.014). Patients with CLIFAHDD and premature death, epilepsy, or paroxysmal dystonia carried variants within NALCN pore domains. DISCUSSION: -related disorders. Distal arthrogryposis, episodic ataxia, and paroxysmal dystonia were diagnosed in patients with CLIFAHDD while failure to thrive, CSA, and epilepsy were associated with LOF variants. We suggest potential genotype-phenotype associations, formulating hypotheses for validation in future studies with larger cohorts.
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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) | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".