A new single nucleotide polymorphism in XRCC4 gene is associated with breast cancer susceptibility in Taiwanese patients.
Bibliographic record
Abstract
BACKGROUND: The DNA repair gene XRCC4, an important caretaker of the overall genome stability, is thought to play a major role in the human carcinogenesis. Some new and important polymorphic variants of XRCC4, at codon 247 (rs 3734091), G-1394T (rs 6869366), and Intron 7 (rs 28360317), and their association with breast cancer susceptibility was investigated in a Taiwanese population. MATERIALS AND METHODS: In a hospital-based case-control study, 432 female patients with breast cancer and 432 age-matched healthy controls recruited from the China Medical Hospital in Central Taiwan were genotyped. RESULTS: A significant difference in the frequency of the XRCC4 G-1394T genotype, but not the XRCC4 codon 247, or intron 7 genotypes was found between the breast cancer and control groups. Individuals with G/T or T/T at the XRCC4 G-1394T locus showed a 2.33-fold (95% confidence interval=1.37-3.98) increased risk of breast cancer compared to those with G/G. For XRCC4 codon 247 or intron 7, there was no difference in distribution between the breast cancer and control groups. CONCLUSION: Our findings suggest that the heterozygous and homozygous T allele of the XRCC4 G-1394T may be associated with the development of breast cancer and may be a useful biomarker for anticancer prevention and intervention.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 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".