Polymorphisms of the Genes Encoding<i>CD40</i>and Growth Differentiation Factor 15 and in the 9p21.3 Region in Patients with Rheumatoid Arthritis and Cardiovascular Disease
Bibliographic record
Abstract
OBJECTIVE: Genes or gene products associated with coronary artery disease in the general population were analyzed in rheumatoid arthritis (RA) patients with atherothrombotic manifestations (ATM). METHODS: A cross-sectional study of 681 individuals (498 women; 183 men) with RA (American College of Rheumatology criteria), a mean age of 60.6 ± 13.2 years, and mean disease duration of 15.5 ± 12.6 years who were consecutively recruited and followed for 6 years. The prevalence of ATM [i.e., myocardial infarction, angina pectoris with intervention, deep vein thrombosis/pulmonary embolism (DVT/PE), and/or stroke/transient ischemic attack (TIA)] was recorded. Polymorphisms were analyzed in the genes coding for growth differentiation factor 15 (GDF15)/monocyte inhibitory cytokine-1 (MIC-1; rs1058587), CD40 (rs1535045 and rs3765459), and the 9p21.3 locus (rs1333049). Controls were randomly selected (n = 687; matched for age and sex). RESULTS: The distribution of genotypes of GDF15/MIC-1 differed significantly between patients with RA and controls (chi-squared = 6.40, 2 df, p = 0.041). ATM were associated with polymorphism of the GDF15/MIC-1 G allele (OR 2.21, 95% CI 1.17-4.18), and with CC genotype of the 9p21.3 locus (rs1333049; OR 1.92, 95% CI 1.15-3.19). Stroke/TIA in women was associated with GDF15/MIC-1 GG genotype (OR 3.75, 95% CI 1.06-13.33), while stroke/TIA in men was associated with CD40 homozygous major alleles (OR 6.48, 95% CI 1.31-32.0 and OR 2.78, 95% CI 0.78-9.91, respectively). DVT/PE was associated with polymorphism in the GDF15/MIC-1 gene (rs1058587) minor allele (OR 3.53, 95% CI 1.30-9.58). CONCLUSION: The gene polymorphisms analyzed were associated with different ATM in RA. The GDF15/MIC-1 gene polymorphism was also associated with RA per se, suggesting a common etiology for RA and ATM.
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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 | 0.000 | 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) | 0.002 | 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".