Association Analysis of IL-4 VNTR Polymorphism with Rheumatoid Arthritis in Iranian Patients
Bibliographic record
Abstract
Rheumatoid arthritis (RA) is an autoimmune disease characterized by movement disability and pain in the joints. The affected individuals are susceptible to other subsequent diseases, exacerbating the condition. To find out the genetic variability of this disease at the genomic level for the first time in the Iranian population, we carried out an investigation on the VNTR of IL-4 gene within its third intron. For this goal we isolated the genomic DNA from blood samples of 576 rheumatoid arthritis patients and 546 healthy controls and investigated the presence or absence of specific amplicons via polymerase chain reaction (PCR). The size of each amplicon on a 1.5% agarose gel corresponded to a certain number of tandem repeats which indicated a specific allele. Statistical test of χ2 Fisher’s exact test and odds ratio (OR) was used to analyze the data. The results showed that RA1/RA1 genotype was the dominant genotype in both healthy controls and patients and the heterozygote genotype of RA1/RA2 was observed more in the healthy controls than patients (108 vs. 66) with significant difference with P value < 0.005 and odds ratio of 0.214. However two genotypes of RA2/RA2 and RA2/RA3 were exclusively observed in the patients’ samples with P value = 0.023 and odds ratio of 0.988. We concluded that IL-4 VNTR polymorphism has a strong association with rheumatoid arthritis and might be a high risk factor for development of rheumatoid arthritis in the investigated Iranian population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".