Evidence for genetic anticipation in vonHippel-Lindau syndrome
Bibliographic record
Abstract
Background von Hippel-Lindau (vHL) syndrome is a rare autosomal-dominant disorder that confers a lifelong risk for developing both benign and malignant tumours in multiple organs. Recent evidence suggests that vHL may exhibit genetic anticipation (GA). The aim of this study was to determine if GA occurs in vHL, and if telomere shortening may be a factor in GA. Methods A retrospective chart review of vHL families seen at The Hospital for Sick Children between 1984 and 2016 was performed. Age of onset (AOO, defined as the age of first physician-diagnosed vHL-related manifestation) was confirmed for 96 patients from 20 unrelated families (80 clinically affected and 16 unaffected carriers). Flow-FISH(flow cytometry sorting of cells whose telomeres are labeled by Fluorescence In Situ Hybridization) was used to measure mean telomere length of six white blood cell subtypes from 14 known VHL pathogenic variant carriers. Results The median AOO for generations I, II and III were 32.5, 22.5 and 12.0 years, respectively. The differences in the AOO between generations were highly significant using a Cox proportional hazards model (P=6.00×10-12). Telomere lengths were significantly different for granulocytes and natural killer lymphocytes of patients with vHL compared with age-matched controls. For six vHL parent–child pairs, median white blood cell telomere lengths between parent and child were not significantly different. Conclusions Our results suggest that vHL telomere abnormalities may be primarily somatic in origin rather than a cause of GA. As tumour development exhibits GA in our cohort, vHL surveillance guidelines may need to account for a patient’s generational position within a vHL pedigree.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".