Mutations in Clotting Factors and Inflammatory Bowel Disease
Bibliographic record
Abstract
BACKGROUND: Patients with Crohn's disease (CD) and ulcerative colitis (UC) have a three- to fourfold greater risk of venous thrombosis compared with the general population. We aimed to determine if patients with CD and UC had a greater likelihood of mutations in genes that increase clotting risk, in a population-based case-control study. METHODS: Subjects were drawn from the University of Manitoba IBD Research Registry and controls were drawn from Manitoba Health's administrative database. Cases (CD, N = 327; UC, N = 165) and controls (N = 412) underwent venipuncture. DNA was purified from whole blood. Genotypes for wild-type and common mutations that have been associated with venous thrombosis for each of Factor II (prothrombin) (G20210A), Factor V (G1691A:'Leiden'), methylenetetrahydrofolate reductase (MTHFR, C677T), and Factor XIII (val34leu) were assessed. RESULTS: A total of 1.5% and 6.1% were heterozygous for Factor II and Factor V variants, respectively, without differences among cases and controls. Only one subject was homozygous for Factor V Leiden (and none were homozygous for Factor II mutation). Although some differences were observed among cases and controls in the prevalence of MTHFR C677T (decrease in mutant allele carriership in UC) and FXIII val34leu (increase in double mutant allele carriership in CD), these did not explain an excess risk of thrombosis. Age, sex, or disease phenotypes were not associated with prothrombotic genotypes. CONCLUSIONS: While there was a slightly greater prevalence of Factor XIII mutation carriership in CD, we did not find that gene mutations for these four common factors could explain the greater risk of venous thrombosis in CD and UC.
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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 | 0.000 |
| Research integrity | 0.001 | 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".