NOD2/CARD15 mutations in Polish and Bosnian populations with and without Crohn's disease: prevalence and genotype-phenotype analysis
Bibliographic record
Abstract
Data on prevalence and phenotypic consequences of nucleotide-binding oligomerisation domain 2/caspase recruitment domains 15 (NOD2/CARD15) variants in Crohn's disease (CD) population in Poland and Bosnia and Herzegovina (B&H) are nonexistent. We aimed to determine the prevalence of NOD2/CARD15 mutations and their association with disease phenotype in Polish and Bosnian patients with CD and in healthy controls. We prospectively recruited 86 CD patients and 83 controls in Poland and 30 CD patients and 30 controls in B&H, 229 in total. We determined the prevalence of NOD2/CARD15 mutations and their association with the disease phenotype according to Montreal classification. Participants were genotyped for Leu1007fsinsC and Gly908Arg mutations. At least one CD-associated allele was found in 29/86 (33.7%) of Polish CD patients and in 9/83 (10.8%) of healthy controls (p<0.001). In both CD patients and controls in Bosnian sample, at least one NOD2 mutation was found in equal number of patients (3/30; 10%) with all of the NOD2 mutation positive CD patients being homozygous, while controls being heterozygous. In Polish sample, perianal disease was less frequent in CD patients with any NOD2 mutation (1/21; 4.8%) compared to those without (11/41; 26.8%; p=0.046). Higher percentage of patients with NOD2 mutations had history of CD related surgery when compared with those without mutations (66.7% vs. 43.3%; p=0.05). The risk for CD is increased in patients with NOD2 mutations (Poland) and especially in the presence of homozygous NOD2 mutations (Poland and Bosnia). The presence of variant NOD2 alleles is associated with increased need for surgery and reduced occurrence of perianal disease.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".