Association of Fcγ Receptor Polymorphisms with Adult Onset Still’s Disease in Korea
Bibliographic record
Abstract
OBJECTIVE: Fcgamma receptors (FcgammaR) have important functions in the regulation of immune response and clearance of immune complex. High levels of immunoglobulins have been observed in patients with the active stage of adult onset Still's disease (AOSD), and high-dose intravenous immunoglobulin treatment has decreased the disease activity of AOSD. We investigated polymorphisms of FcgammaR as genetic factors influencing susceptibility or disease course of AOSD in Korea. METHODS: We genotyped the FcgammaRIIA H/R131, IIIA F/V176, and IIIB NA1/NA2 loci in 98 patients with AOSD and 151 healthy controls. Genotyping was performed using sequence-specific PCR. Patients with AOSD were subdivided into groups according to disease course: monocyclic systemic, polycyclic systemic, or chronic articular type. Allelic, genotypic, and haplotypic associations were analyzed by chi-square test. RESULTS: No significant skewing in any of the 3 FcgammaR polymorphisms was found between Korean AOSD patients and controls. FcgammaRIIA R/R131 and R/H131 genotype in patients with chronic articular-type disease was more frequent than in controls (p = 0.006 and p(corr) = 0.018). No differences of genotypic and allelic frequencies were found between other disease course types and controls. Haplotype IIA R131-IIIA F176-IIIB NA2 was more frequent in AOSD patients than in controls (p = 0.021). CONCLUSION: Although FcgammaR polymorphisms are not associated with development of AOSD in Koreans, the haplotype IIA R131-IIIA F176-IIIB NA2 may be associated with AOSD. Also, the FcgammaRIIA polymorphism may be associated with chronic articular-type AOSD. We need to identify whether these polymorphisms are associated with a response to anti-tumor necrosis factor agents in patients with AOSD.
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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 | 0.000 |
| 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".