A RecQ Protein-like 5 Haplotype is Associated With Colon Cancer
Bibliographic record
Abstract
Background: Emerging murine model data suggests RecQ protein-like 5 ( RECQL5 ) is a tumor suppressor gene. The goal of our study was to test whether RECQL5 gene variants are associated with colon cancer susceptibility. Methods: We examined the association of two haplotype-tagging SNPs in RECQL5 and colon cancer in a population-based study of 390 colon cancer cases and 464 population controls. Results: While both crude and covariate-adjusted single SNP analyses were only suggestive for an association with borderline significance (p = 0.07), haplotype analysis shows that individuals carrying the T-G haplotype (rs820196 common allele and rs4789223 minor allele) were at significantly increased risk for colon cancer (OR = 1.34, 95% CI = 1.02-1.76, p = 0.05). Adjustment for age, sex, body mass index, non-steroidal anti-inflammatory use and family history of colon cancer did not alter the results. Conclusions: These results suggest that a haplotype harboring the minor allele of rs4789223 is associated with colon cancer risk. Further study of RECQL5 as a colon cancer susceptibility gene is warranted, particularly with respect to variants in linkage disequilibrium with rs4789223. Gastroenterol Res. 2010;3(3):101-105 doi: https://doi.org/10.4021/gr2010.06.214w
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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 | 0.001 |
| 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) | 0.004 | 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".