<i>FCRL3</i> –169C/C Genotype Is Associated with Anti-citrullinated Protein Antibody-positive Rheumatoid Arthritis and with Radiographic Progression
Bibliographic record
Abstract
OBJECTIVE: Studies of Caucasian populations have shown conflicting results concerning the association between a promoter polymorphism -169T>C of the Fc receptor-like 3 (FCRL3) gene and rheumatoid arthritis (RA). It is unknown whether FCRL3 is associated with autoantibody status and disease severity. We investigated associations between FCRL3 -169T>C and autoantibody status and joint damage in patients with RA. METHODS: A total of 652 Norwegian patients with RA from 2 cohorts and 981 Norwegian controls, previously genotyped for FCRL3 -169T>C (rs7528684), were studied. Data on anticitrullinated protein antibodies (ACPA) and rheumatoid factor (RF) were available. The EURIDISS cohort (disease duration ≤ 4 yrs at baseline) was followed longitudinally, with assessment of radiographic hand damage at baseline and after 10 years (n = 117) according to the van der Heijde-modified Sharp score. RESULTS: We found significant associations with ACPA-positive RA for both the C allele (OR 1.28, 95% CI 1.08-1.52, p = 0.004) and the C/C genotype (OR 1.57, 95% CI 1.18-2.10, p = 0.002). Similar associations were seen with RF-positive RA. No association was found with ACPA-negative or RF-negative RA. The C/C genotype was found to be associated with 10-year radiographic progression in multivariate linear and logistic regression analyses, after adjustment for ACPA, erythrocyte sedimentation rate, age, and sex. CONCLUSION: The promoter polymorphism of FCRL3 was associated with autoantibody-positive RA. Despite the low number of patients, the C/C genotype of the FCRL3 polymorphism consistently and independently predicted radiographic progression. These findings suggest that FCRL3 is involved in both disease susceptibility and progression.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".