An atypical presentation of ataxia telangiectasia in a school-aged boy secondary to an intronic mutation
Bibliographic record
Abstract
Background: Ataxia telangiectasia typically presents in early pre-school years with progressive cerebellar ataxia and oculocutaneous telangiectasias. Referral to Immunology is often made after diagnosis has been established, as patients are prone to both humoral and cellular immune abnormalities. Case presentation: We herein report a 10-year old boy, previously undiagnosed, who presented with recurrent pneumonias. On history, frequent falls and speech difficulty were reported, with no telangiectasias on exam. Screening with alpha-fetoprotein was abnormal, followed by ATM gene sequencing, showing a homozygous intronic mutation. Over the next 3 years the patient deteriorated neurologically, and developed appreciable telangiectasias. Conclusion: A review of the literature demonstrates that intronic/splicing mutations may result in atypical ataxia telangiectasia phenotypes and delayed presentations. We advise immunologists to have a high index of suspicion for ataxia telangiectasia when assessing a patient with immunodeficiency and neurologic regression, regardless of age, and even in the absence of telangiectasias. Statement of novelty: We present a case of phenotypically atypical (“leaky”) ataxia telangiectasia resulting from a novel homozygous splice-site mutation in the ATM gene. Given high reported prevalence of intronic and splice-site mutations in ATM, we recommend full gene sequencing in patients suspected to have ataxia telangiectasia, especially in those with late onset or unusual manifestations.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".