Contributions of IBD5, IL23R, ATG16L1, and NOD2 to Crohnʼs disease risk in a population-based case-control study: Evidence of gene–gene interactions
Bibliographic record
Abstract
BACKGROUND: IBD5, IL23R, and ATG16L1 genetic variations are established Crohn's disease (CD) risks alleles. We evaluated these in a population-based case-control study within a cohort to determine their penetrance, population attributable risk, independence, and relationship to other established CD risk factors, including NOD2. METHODS: DNA from 213 CD, 118 [corrected] ulcerative colitis, and 315 [corrected] healthy control subjects from the population based University of Manitoba IBD Research Registry were genotyped for IBD5 and IL23R single-nucleotide polymorphisms (SNPs),and for the Thr 300Ala ATG16L1 SNP. Univariate and multivariate analyses were performed for these and nongenetic risk factors.We introduce multidimensionality reduction (MDR) to explore gene– gene interactions. RESULTS: ATG16L1, IBD5, and IL23R SNPs were significantly associated with CD. Multivariate analysis showed independent CD association for carriers of ATG16L1 (odds ratio [OR] = 1.8, 95% confidence interval [CI] 1.09-3.24), IBD5-IGR2230 (OR = 2.16, 95% CI 1.30-3.59), and IL23R-rs10889677 (OR = 2.13, 95% CI 1.39-3.28) while retaining association for NOD2 mutation carriers (OR = 4.45, 95% CI 2.68-7.38), IBD family history (OR = 2.75, 95% CI 1.42-5.31), tobacco (OR = 2.06, 95% CI 1.35-3.14), and Jewish ethnicity (OR = 20.1, 95% CI 2.16-186.8). IL23R minor variants for Arg381Gln and Intron 6 rs7517848 showed independent, CD protection and 3' untranslated variant rs108896778 showed risk. MDR analysis suggested an interaction between IBD5, ATG16L1, and IL23R risk alleles. Penetrance values for ATG16L1 and IBD5 were 0.27% for heterozygotes, and 0.35% and 0.44%, respectively, for homozygotes. IL23R rs108896778 penetrance was 0.37%. CONCLUSIONS: A population-based analysis of CD risk factors is useful for characterizing the epidemiology of multiple CD genetic and nongenetic risk factors. Gene-gene interactions are likely, but require further evaluation in large population-based cohorts.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".