Association of Polymorphisms in Interferon Regulatory Factor 5 Gene with Rheumatoid Arthritis: A Metaanalysis
Bibliographic record
Abstract
OBJECTIVE: We investigated potential associations between rheumatoid arthritis (RA) and interferon regulatory factor 5 (IRF5) polymorphisms in a metaanalysis. METHODS: This metaanalysis included 5 case-control studies, which provided a total of 6582 RA cases and 5375 controls. Odds ratios (OR) were employed to evaluate the risk of RA according to the 4 single-nucleotide polymorphisms (SNP) in IRF5 (rs729302, rs2004640, rs752637, and rs2280714) and data were analyzed in respect to association between alleles. RESULTS: Among 4 candidate SNP, rs729302, rs2004640, and rs2280714 were statistically significant; both allele C of rs729302 and allele G of rs2004640 within the promoter region of IRF5 were associated with a protective effect [random-effects (RE) OR 0.889, 95% confidence interval (CI) 0.803-0.977, p=0.015 for rs729302; and RE OR 0.905, 95% CI 0.848-0.965, p=0.002 for rs2004640]. Similar results were also obtained in T allele of rs2280714 in the 3'-untranslated region (RE OR 0.927, 95% CI 0.866-0.992, p=0.029). There was no evidence of publication bias from funnel-plot asymmetry and Egger's regression test. CONCLUSION: Our metaanalysis supported the evidence of the significant role of IRF5 polymorphisms in RA.
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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 | 0.013 | 0.018 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.043 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".