The NOD2 -Smoking Interaction in Crohn's Disease is likely Specific to the 1007 fs Mutation and may be Explained by Age at Diagnosis: A Meta-Analysis and Case-Only Study
Bibliographic record
Abstract
BACKGROUND: NOD2 and smoking are risk factors for Crohn's disease. We meta-analyzed NOD2-smoking interactions in Crohn's disease (Phase 1), then explored the effect of age at diagnosis on NOD2-smoking interactions (Phase 2). METHODS: Phase 1: MEDLINE and EMBASE were searched for studies (n=18) providing data on NOD2 and smoking in Crohn's disease. NOD2-smoking interactions were estimated using odds ratios (ORs) and 95% confidence intervals (CIs) calculated using random effects models. Phase 2: A case-only study compared the proportion of smokers and carriers of the 1007fs variant across ages at diagnosis (≤16, 17-40, >40years). FINDINGS: Phase 1: Having ever smoked was less common among carriers of the 1007fs variant of NOD2 (OR 0.74, 95%CI:0.66-0.83). There was no interaction between smoking and the G908R (OR 0.96, 95%CI:0.82-1.13) or the R702W variant (OR 0.89, 95%CI:0.76-1.05). Phase 2: The proportion of patients (n=627) carrying the 1007fs variant decreased with age at diagnosis (≤16years: 15%; 17-40: 12%; >40: 3%; p=0.003). Smoking was more common in older patients (≤16years: 4%; 17-40: 48%; >40: 71%; p<0.001). INTERPRETATION: The negative NOD2-smoking interaction in Crohn's disease is specific to the 1007fs variant. However, opposing rates of this variant and smoking across age at diagnosis may explain this negative interaction.
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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 | 0.000 |
| 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) | 0.000 | 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".