Risks of cancers for carriers of monoallelic MUTYH mutation with a family history of colorectal cancer
Bibliographic record
Abstract
Background Several studies have shown an increased risk of colorectal and extracolonic cancers for carriers of germline MUTYH mutations inherited from both parents (biallelic mutations). Extracolonic cancer risks for carriers of a MUTYH mutation inherited from only one parent (monoallelic mutation) have not previously been estimated. Materials and methods We identified 144 families of MUTYH mutation carriers from three countries that we ascertained through population-based sources of the multi-site, international Colon Cancer Family Registry. Mutation status, sex, age, and histories of cancer, polypectomy, and hysterectomy were sought from 2,179 of their relatives. Using Cox regression weighted to adjust for the method of ascertainment, we estimated the country-, age- and sex-specific standardized incidence ratios (SIRs) of colorectal and extracolonic cancers for monoallelic mutation carriers, compared with the general population, and corresponding age-specific cumulative risks. Results Monoallelic mutation carriers with a family history of CRC had a significantly increased incidence of CRC (SIR = 2.04; 95% confidence interval, CI = 1.56 – 2.70; P <0.001), gastric cancer (SIR = 3.24; 95% CI = 2.18 – 4.98; P <0.001), and endometrial cancer (SIR = 2.23; 95% CI = 1.13 – 4.86; P = 0.03) and a marginal increased incidence of liver cancer (SIR = 3.09; 95% CI = 1.07 – 12.25; P = 0.07) compared to the general population. The estimated cumulative risks to age 70 years based on the population cancer incidence of the United States were as follows: for CRC, 6% (95% CI = 5 – %) for men and 4% (95% CI = 3 – 6%) for women; for gastric cancer, 2% (95% CI = 1 – 3%) for men and 0.7% (95% CI = 0.5 – 1%) for women; for liver cancer, 1% (95% CI = 0.3 – 3%) for men and 0.3% (95% CI = 0.1 – 1%) for women; and for endometrial cancer, 4% (95% CI = 2 – 8%). There was no evidence of increased risks for cancer of the brain, pancreas, kidney, lung, breast or prostate. Conclusion
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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 | 0.001 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".