Identification of clinically relevant mosaicism in type I hereditary haemorrhagic telangiectasia
Bibliographic record
Abstract
BACKGROUND: Hereditary haemorrhagic telangiectasia (HHT) is an autosomal dominant genetic disorder affecting the vascular system, characterised by epistaxis, arteriovenous malformations and mucocutaneous and gastrointestinal telangiectases. Mutations in two genes, ENG and ACVRL1, account for the majority of cases. Almost all cases of HHT show a family history of HHT-associated symptoms; few cases are de novo. Mutational mosaicism is the presence of two populations of cells, with both mutant and normal genotypes in one individual and generally occurs through de novo mutation events in embryogenesis. Some isolated cases of HHT with no detectable ENG or ACVRL1 mutation may be caused by a mosaic ENG or ACVRL1 mutation that is present at levels below the limit of detection of current molecular screening methods. OBJECTIVE: To identify clinically relevant mosaicism in type I HHT. METHODS: Sequencing, quantitative multiplex-PCR and marker analysis were used to identify three HHT families with founders who showed mosaicism for endoglin mutations. Where available, mosaicism was verified by testing different sampling sites, including blood, hair and buccal swabs. RESULTS: All three mosaic samples exhibited the mutation in an estimated ≤ 25% of the DNA. Two of the mosaic patients had clinically confirmed HHT by the Curaçao criteria and the other showed symptoms of HHT. In each case the heterozygous mutation had already been identified in another family member before detection in the mosaic founder. CONCLUSIONS: The results show the importance of investigating patients without prior family history for the presence of mutational mosaicism, as detecting this would enable appropriate genetic screening and targeted medical care for at-risk children of mosaic patients.
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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 | 0.001 | 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) | 0.000 | 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".