Evaluation of the Contribution of the Three Breast Cancer Susceptibility Genes <i>CHEK2</i> , <i>STK11</i> , and <i>PALB2</i> in Non- <i>BRCA1/2</i> French Canadian Families with High Risk of Breast Cancer
Bibliographic record
Abstract
Inactivating mutations of the CHEK2 and STK11 genes are responsible for Li-Fraumeni and Peutz-Jeghers syndrome, respectively, both autosomal dominant syndromes associated with an increased risk of breast cancer. The PALB2/FANCN gene encodes a nuclear partner of BRCA2 and acts as a linker between BRCA1 and BRCA2. Monoallelic PALB2 truncating mutations were shown to confer higher risk of breast cancer. To evaluate the proportion of French Canadian non-BRCA1/BRCA2 families with high risk of breast cancer potentially harboring alterations in these three breast cancer susceptibility genes, the whole coding and flanking intronic sequences were analyzed in a series of 96 high-risk breast cancer individuals. Despite no PALB2 deleterious truncating mutations being identified, the c.1100delC breast-cancer-associated CHEK2 mutation and a STK11 mutation reported to be the causative mutation in a Peutz-Jeghers family were identified. This extensive analysis also led to the identification of several variants in these genes. Ascertainment of allele frequency of these variants in a cohort of 96 healthy unrelated women suggests a difference in allele frequency for two STK11 intronic variants. In addition, large genomic rearrangements in both STK11 and PALB2 were also examined. Our analysis led to the conclusion that CHEK2, STK11, and PALB2 mutations or large genomic rearrangements of either STK11 or PALB2 are rare, and do not contribute to a substantial fraction of breast cancer susceptibility in high-risk French Canadian breast cancer families.
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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 | 0.000 |
| 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 | 0.001 |
| 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".