Expanding the Phenotypic Spectrum of <scp>HNRNPU</scp>‐Related Disorder, Documenting the First Familial Presentation and Comprehensive Review
Bibliographic record
Abstract
HNRNPU-related neurodevelopmental disorder (HNRNPU-NDD) is caused by pathogenic and likely pathogenic variants in HNRNPU. With increasing accessibility to advanced genetic investigations, children presenting with developmental delay and intellectual disability will often undergo genomic testing; hence, the number of patients found to be affected by HNRNPU-NDD is increasing. We document a cohort of 17 previously unpublished patients with HNRNPU variants, including the first familial case, building on those previously published by our group. A comprehensive literature review was performed, identifying previously published patients and phenotypes for comparison. Eighty-four patients have been published in previous studies with pathogenic variants in HNRNPU with the following phenotypes: Global developmental delay, moderate to severe intellectual disability, early-onset seizures, and dysmorphic features. In addition to these phenotypes previously described, we have recognized ophthalmic abnormalities, cardiac abnormalities, and short stature in our cohort. We provide information on patients with a milder phenotype, enhancing our knowledge of phenotypic variability in HNRNPU-NDD.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".