Effect of inflammatory bowel disease classification changes on NOD2 genotype–phenotype associations in a population-based cohort
Bibliographic record
Abstract
BACKGROUND: NOD2 mutations are associated with Crohn's disease (CD) in Caucasian clinic-based cohorts. Data from population-based cohorts are limited. Clinic-based studies may overestimate this association. Genotype-phenotype relationships are yet to be assessed using the Montreal classification. We hypothesized that the NOD2-CD association would be weaker in a population-based cohort, and that the Montreal classification would strengthen genotype-phenotype associations. METHODS: A population-based case-control study was performed including 91% of all people in Canterbury, New Zealand, with inflammatory bowel disease (IBD); NOD2 genotyping was performed and patients were phenotyped according to the Vienna and Montreal classification systems. RESULTS: The NOD2 genotype was available on 684 CD, 643 ulcerative colitis (UC), 36 indeterminate colitis/IBDU (IBD unclassified) patients, and 201 controls. Control frequencies for the 702W, 908R, and 1007fs alleles were 0.030, 0.012, and 0.010, respectively, compared with 0.074, 0.027, and 0.040 for CD. The 702W (P = 0.001) and 1007fs (P = 0.002) alleles were significantly associated with CD. Younger age of diagnosis (<17 years) was associated with 1 (odds ratio (OR) 1.9 [95% confidence intervals 0.98-3.6]) or 2 (OR 6.5 [2.3-18.6]) NOD2 mutations compared with diagnosis >40 years. Ileal disease was most strongly associated with NOD2 mutations (1 mutation OR 3.9 [2.4-6.3], 2 mutations OR 6.7 [2.4-18.5]). Penetrating disease was associated with NOD2 mutations using the Montreal but not the Vienna classification. CONCLUSIONS: The association between NOD2 mutations and CD was found to be weaker in our population-based cohort than in previous studies that used referral-based cohorts. Application of the Montreal classification led to a strengthening of the NOD2 genotype-phenotype association.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 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".