A multifaceted approach to elucidating the role of BRCA1- and BRCA2- related genes in hereditary breast cancer
Bibliographic record
Abstract
5-10% of hereditary breast cancer cases are caused by germline mutations in well-defined, dominantly acting susceptibility genes such as BRCA1 and BRCA2. However, more than 50% of the genetic predisposition to hereditary breast cancer remains unexplained. In the following thesis, we present a multifaceted approach aimed at further elucidating hereditary breast cancer associated with BRCA1 and BRCA2 interacting genes; specifically, by analyzing the potential contribution from of two previously unscreened BRCA1-associating genes, RAP80 and Abraxas, assessing the presence and risk associated with CHEK2 susceptibility alleles in the previously uninvestigated French Canadian population and by investigating molecular and cellular mechanisms underlying the increased risk associated with PALB2 susceptibility alleles. A combination of genotyping 96 BRCA1/2 negative, high risk breast cancer patients and segregation analysis was utilized in the determination of whether or not RAP80 and Abraxas are breast cancer susceptibility genes. The contribution of CHEK2 associated breast cancer amongst the French Canadian population was determined through the genotyping 25 BRCA1/2 negative, high risk breast cancer and a cohort of 25 controls. Finally, the biological significance of four PALB2 susceptibility alleles was investigated through the use of the cellular cytotoxicity assay WST-1, telomere specific Q-FISH, centromere specific FISH and spectral karyotyping. The results presented herein suggest that both RAP80 and Abraxas are not high to moderately penetrant breast cancer susceptibility genes. Further, our results suggest that alleles other than the CHEK2 1100delC are unlikely to significantly contribute to the hereditary breast cancer risk in the French Canadian population. Lastly, the results obtained throughout our analysis of PALB2 heterozygous cell lines may be suggestive of a possible chromosomal instability phenotype predisposing carriers to additional tumourgenic mechanisms.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".