Peptidylarginine Deiminase Type 4 and Methyl-CpG Binding Domain 4 Polymorphisms in Chinese Patients with Rheumatoid Arthritis
Bibliographic record
Abstract
OBJECTIVE: Peptidylarginine deiminase type 4 (PADI4) and methyl-CpG binding domain 4 (MBD4) are closely related with rheumatoid arthritis (RA). We hypothesized that PADI4 and MBD4 polymorphisms may contribute to RA susceptibility. METHODS: We studied PADI4 rs2240340 G/A, PADI4 rs874881 C/G, MBD4 rs140693 G/A, and MBD4 rs2005618 T/C gene polymorphisms in 329 patients with RA and 697 controls in a Chinese population. Genotyping was done using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). RESULTS: When the PADI4 rs2240340 GG homozygote genotype was used as the reference group, the AA genotype was associated with a significantly increased risk of RA. In the recessive model, when PADI4 rs2240340 GG/GA genotypes were used as the reference group, the AA homozygote genotype was associated with a significant increased susceptibility to RA. PADI4 rs874881 C/G was in complete linkage disequilibrium with PADI4 rs2240340 G/A. MBD4 rs140693 G/A and MBD4 rs2005618 T/C polymorphisms were not associated with the risk of RA. In stratification analyses, a significantly increased risk for RA associated with the PADI4 rs2240340 AA genotype was evident among older patients and patients who were anticitrullinated protein antibody (ACPA)-positive compared with the PADI4 rs2240340 GG/GA genotype. CONCLUSION: These findings suggest that the functional single-nucleotide polymorphism PADI4 rs2240340 G/A variant allele is associated with RA development, especially among older patients and ACPA-positive patients. However, our results were obtained from a moderate-sized sample, and therefore this is a preliminary conclusion. Validation by a larger study from a more diverse ethnic population is needed to confirm these findings.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".