Heritable Variation of<i>ERBB2</i>and Breast Cancer Risk
Bibliographic record
Abstract
Amplification of the epithelial growth factor receptor gene ERBB2 (HER2, NEU) in breast cancer is associated with a poor clinical prognosis. In mammary gland development, this receptor plays a role in ductal and lobuloalveolar differentiation. We conducted a systematic investigation of the role of genetic variation of the ERBB2 gene in breast cancer risk in a study of 842 histologically confirmed invasive breast cancer cases and 1,108 controls from the Shanghai Breast Cancer Study. We observed that the ERBB2 gene resides within a locus of high linkage disequilibrium, composed of three major ancestral haplotypes in the study population. These haplotypes are marked by simple tandem repeat and single nucleotide polymorphisms, including the missense variants I655V and P1170A. We observed a risk-modifying effect of a highly polymorphic simple tandem repeat within an evolutionarily conserved region, 4.4 kb upstream from the ERBB2 transcription start site. Under a dominant genetic model, the age-adjusted odds ratio was 1.74 (95% confidence interval, 1.27-2.37). Its association with breast cancer, and with breast cancer stratified by histology, by histologic grade, and by stage, remained significant after correction for multiple comparisons. In contrast, we observed no association of ERBB2 single nucleotide polymorphism haplotypes with breast cancer predisposition.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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 teacher head, 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".