<i>BRCA1</i> and <i>BRCA2</i> mutations among familial breast cancer patients from Costa Rica
Bibliographic record
Abstract
The contribution of mutations in BRCA1 and BRCA2 genes to the burden of breast cancer in Costa Rica has not been studied. We estimated the frequency of BRCA mutations among 111 Costa Rican women with breast cancer and a family history of breast cancer. These women were mainly from the metropolitan area of San José. A detailed family history was obtained from each patient and a blood sample was processed for DNA extraction. Mutations in BRCA1 and BRCA2 were sought using a combination of techniques and all mutations were confirmed by direct sequencing. Four different mutations were identified in five patients (four in BRCA2 and one in BRCA1) representing 4.5% of the total. Two unrelated patients were found to have a BRCA2 5531delTT mutation. Other BRCA2 mutations included C5507G and 6174delT. Only one BRCA1 mutation was found (C3522T). The family with the BRCA1 mutation had five cases of gastric cancer. Families with BRCA2 mutations were also reported to have cases of gastric and prostate cancers; however, the full range of cancers associated with BRCA1 and BRCA2 mutations in Costa Rica has not yet been established.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 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".