Genetic Variants in <i>GLUT14</i> Gene Enhance Susceptibility to Inflammatory Bowel Disease
Bibliographic record
Abstract
Oxidative stress is implicated in the initiation and progression of inflammatory bowel disease (IBD). Dehydroascorbic acid (DHA) is actively imported into cells via glucose transporters (GLUTs) and contributes to the vitamin C antioxidant cycle. This study aimed to determine if the recently indentified GLUT 14 gene is associated with susceptibility to IBD and the clinical phenotype. Participants in the population‐based Manitoba IBD Cohort Study were phenotyped using the Montreal classification. Genomic DNA samples from persons with Crohn's disease (CD, n=162) and ulcerative colitis (UC, n=149) and ethnically matched controls (n=142) were genotyped for eight GLUT 14 polymorphisms, using TaqMan assays. Logistic regression was used to determine the case‐control association of genotypes for each polymorphism with CD, UC, and overall IBD risks. Genotype‐phenotype associations were tested by multinomial logistic regression, using SAS software 9.2. Variant rs2889504‐A was associated with increased susceptibility to UC, CD, and overall IBD (OR: 3.60, 95% CI: 1.95‐6.64; OR: 4.68, 95% CI: 2.78, 8.50; OR: 4.14; 95% CI: 2.37‐7.22 respectively). The rs10846086‐G allele was associated with an approximated 3‐fold increased risk of UC, CD, and IBD. Variant rs12815313‐T was associated with increased susceptibility to CD and overall IBD OR: 2.12, 95% CI: 1.33‐3.36; OR: 1.85, 95% CI 2.41 (1.24‐2.77; respectively). These findings provide a novel opportunity toward individualized nutritional therapy for patients carrying the disease‐associated genotype. Further studies are now needed to elucidate the pathogenetic mechanism. (Supported by Peter Eck's Canada Research Chair)
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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) | 0.001 | 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 | 0.000 |
| 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".