High frequency of de novo mutations in Li–Fraumeni syndrome
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Li-Fraumeni syndrome is an autosomal dominant cancer predisposition syndrome caused by germline mutations in the TP53 gene. The frequency of germline de novo TP53 mutations is largely unknown; few unequivocal de novo mutations have been reported. METHODS AND RESULTS: Of 341 patients with early onset cancer sent for clinical testing to a national reference laboratory, 75 patients had TP53 germline mutations. Five (7%) de novo mutations were identified, as well as an additional 10 TP53 germline mutations likely to be de novo by family history. The frequency of de novo TP53 mutations in this patient sample is at least 7% and may be as high as 20%. CONCLUSIONS: The possibility that de novo germline TP53 mutations are relatively common has implications for testing and the identification of potential Li-Fraumeni syndrome in patients with little or no family history of cancer.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.005 |
| 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 it