Whole‐exome sequencing expands the phenotype of Hunter syndrome
Bibliographic record
Abstract
Whole-exome sequencing (WES) has proven its utility in finding novel genes associated with rare conditions and its usefulness is being further demonstrated in expanding the phenotypes of well known diseases. We present here a family with a previously undiagnosed X-linked condition characterized by progressive restriction of joint range of motion, prominence of the supraorbital ridge, audiology issues and hernias. They had an average stature, normal occipitofrontal circumference and intelligence, absence of dysostosis multiplex and otherwise good health. A diagnosis of Hunter syndrome was determined using WES and further supported by biochemical investigations. The phenotype of this family does not correspond to either the severe or attenuated clinical subtypes of Hunter syndrome. As further atypical families are reported, this classification will need to be modified. Our findings highlight the utility of WES in expanding the recognized phenotypic spectrum of known syndromes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".