A Phenotypic-Driven Approach for the Diagnosis of WOREE Syndrome
Bibliographic record
Abstract
Background WOREE syndrome is a rare neurodevelopmental disorder featuring drug-resistant epilepsy and global developmental delay. The disease, caused by biallelic pathogenic variants in the WWOX gene, usually leads to severe disability or death within the first years of life. Clinicians have become more confident with the phenotypic picture of WOREE syndrome, allowing earlier clinical diagnosis. We report a boy with a peculiar clinic-radiological pattern supporting the diagnosis of WOREE syndrome. Methods DNA was extracted from blood samples of the proband and his parents and subjected to Exome Sequencing (ES). Agarose gel electrophoresis, real-time quantitative PCR (Q-PCR), and array-CGH 180K were also performed. Results ES detected a pathogenic stop variant (c.790C > T, p.Arg264*) in one allele of WWOX in the proband and his unaffected mother. A 180K array-CGH analysis revealed a 84,828-bp (g.chr16:78,360,803–78,445,630) deletion encompassing exon 6. The Q-PCR product showed that the proband and his father harbored the same deleted fragment, fusing exons 5 and 7 of WWOX . Conclusions Genetic testing remains crucial in establishing the definitive diagnosis of WOREE syndrome and allows prenatal interventions/parental counseling. However, our findings suggest that targeted Next Generation Sequencing-based testing may occasionally show technical pitfalls, prompting further genetic investigation in selected cases with high clinical suspicion.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 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".