Contribution of the NOD1/CARD4 insertion/deletion polymorphism +32656 to inflammatory bowel disease in Northern Europe#
Bibliographic record
Abstract
BACKGROUND: NOD1/CARD4 and NOD2/CARD15 are both intracellular pattern-recognition receptors. The NOD1/CARD4 gene lies within a previously described inflammatory bowel disease (IBD) locus (7p14). An association has been suggested between the NOD1/CARD4+32656 deletion*1 variant of a complex deletion*1/insertion*2 polymorphism and IBD in 1 recent study in Europe. Our aim was to assess the influence of NOD1/CARD4+32656 on disease susceptibility and phenotype in the Scottish and Swedish IBD populations. METHODS: A total of 3,962 individuals (1,791 IBD patients, 522 parents, 1,649 healthy controls) from 2 independent populations (Scotland and Sweden) were genotyped for NOD1/CARD4+32656 A/C by TaqMan and direct sequencing. Case-control, Transmission Disequilibrium Testing (TDT) and detailed genotype-phenotype (Montreal) analyses were performed. The case-control analysis had 80% power to detect an effect size of odds ratio (OR) 1.21 for IBD. RESULTS: In case-control analyses in Scottish and Swedish patients, none of the genotypes studied in IBD, Crohn's disease (CD) or ulcerative colitis (UC), differed significantly from controls (deletion*1 allelic frequency 73.9%, 73.6%, 73.9%, and 73.6%, respectively: all P > 0.8). No epistatic interaction with NOD2/CARD15 was seen for CD susceptibility. TDT analysis in our Scottish early onset cohort was negative. CONCLUSIONS: This variant allele of NOD1/CARD4+32656 is not associated with a strong effect on susceptibility to IBD in children and adults in Northern Europe. A gene-wide haplotype-based approach may be preferable to analysis of individual variants to assess the contribution of the NOD1/CARD4 gene to IBD.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".