An unaffected individual from a breast/ovarian cancer family with germline mutations in both <i>BRCA1</i> and <i>BRCA2</i>
Bibliographic record
Abstract
Currently many centers offer testing for three specific mutations, 185delAG, 5382insC, and 6174delT, in the BRCA1 and BRCA2 genes to Ashkenazi Jewish individuals at high risk for breast and ovarian cancer. We recently tested members of a family with multiple cases of breast and ovarian cancer (Family R014). The proband in this family tested positive for the 185delAG mutation. The unaffected sister of the proband tested positive for both the 185delAG and the 6174delT mutations. Further testing and review of the family history suggest that both mutations may have come from a maternal grandfather and passed down for two generations. Counseling of the unaffected double heterozygote individual in this family is complicated by lack of information on the risk of breast, ovarian, and other cancers in such individuals. A better understanding of these risks will depend on the identification and study of more individuals carrying mutations in both the BRCA1 and BRCA2 genes. Our study emphasizes the importance of testing Ashkenazi Jewish individuals from high-risk breast and ovarian cancer families for all three common BRCA1 and BRCA2 mutations identified in this ethnic group.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".