Wiskott-Aldrich syndrome caused by a novel mutation in the <i>WAS</i> gene and presenting with a mild phenotype
Bibliographic record
Abstract
Background: Wiskott-Aldrich syndrome (WAS) is an X-linked recessive disorder associated with combined immunodeficiency, microthrombocytopenia, eczema, and an increased risk of autoimmunity and cancer. Aim: To report the clinical presentation, immune features, and genetic mutation in a patient with a novel mutation in the Wiskott-Aldrich syndrome (WAS) gene, causing a mild phenotype of WAS. Methods: The patient’s chart was reviewed. We report the phenotypical and laboratory characteristics of a patient with a mild phenotype of WAS identified by WAS gene sequence analysis. Results: Our patient presented with thrombocytopenia and 3 episodes of otitis media at 24 months of age, with no other significant manifestations suggestive of immunodeficiency or immune dysregulation. A missense mutation was found in exon 12 of the WAS gene, C1498>T, leading to a Trp500Arg amino acid change. Currently, he is 15 years old and remains in good health, free of infections or other complications to date. Conclusion: Genetic analysis is helpful for the diagnosis of WAS; our patient’s mutation was found to cause a mild phenotype. Statement of novelty: We describe a patient with a mild phenotype of WAS with a novel mutation in the WAS gene, thus, expanding the spectrum of WAS gene mutations.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".