Significant association of DNA repair gene Ku80 genotypes with breast cancer susceptibility in Taiwan.
Bibliographic record
Abstract
AIM: To evaluate the association between the genotypes of the heterodimeric DNA-binding component, Ku80 gene and the breast cancer risk in Taiwan. PATIENTS AND METHODS: In this hospital-based case-control study, the association of Ku80 G-1401T rs828907, Ku80 C-319T rs11685387 and Ku80 intron19 rs9288518 polymorphisms with breast cancer risk in a Taiwanese population was investigated. In total, 1272 patients with breast cancer and the same number of age- and gender-matched healthy controls were genotyped. RESULTS: A significantly different distribution was found in the frequency of the Ku80 G-1401T genotype, but not the Ku80 C-319T or intron 19 genotypes, between the breast cancer and control groups. The T allele Ku80 G-1401T conferred a significant (p=0.0069) increased risk of breast cancer. Gene interactions with smoking, but not with breastfeeding, were significant for the Ku80 G-1401T polymorphism. The Ku80 G-1401T GT and TT genotypes in association with smoking conferred an increased risk of 3.162 (95% confidence interval=2.275-4.393) for breast cancer. CONCLUSION: The T allele of Ku80 G-1401T may be associated with the development of breast cancer and may be a novel useful marker for breast cancer detection and prediction.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".