Correlation between Single Nucleotide of Polymorphisms of -238,-308 G/A in Tumour Necrosis Factor-α Gene Promoter and Juvenile Idiopathic Arthritis
Bibliographic record
Abstract
Objective To study the correlation between single nucleotide polymorphisms of -238,-308 G/A in promoter region of tumor necrosis factor -α(TNF-α) gene and the type of juvenile idiopathic arthritis (JIA).Methods Clinical data and blood preparation of 127 children with JIA and 106 healthy children were evaluated.Subgroups of JIA were defined according to the Edmonton criteria.The -238 G/A and -308 G/A polymorphisms in DNA analysis in this study were extracted from the whole blood.The restricted fragment length polymorphisms were determined in the cases of all JIA children and control group.Results 1.The TNF-α-238 G/A allele frequencies of JIA group and control group:allele frequency of JIA group was 92.9% and 7.1%,and the control group was 95.3% and 4.7%.The distribution of allele frequencies was no significantly different between JIA group and control group(χ2=1.149 P=0.284).But there were significant difference between polyarticular JIA (RF negative) and control group(χ2=7.621 P=0.006).2.The TNF-α-308 G/A allele frequencies of JIA group and control group:allele frequency of JIA group was 94.1% and 5.9%,the control group was 95.3% and 4.7%.The distributions of allele frequencies was no significantly different between JIA group and control group(χ2=0.322 P=0.571).There were significantly difference between polyarticular JIA (RF negative) and control group (χ2=7.621 P=0.006).Conclusions The TNF-α-238,-308 polymorphisms of A in the-238 and-308 TNF-α gene are important to the joint destruction of JIA.The study will be beneficial to provide indirect support to the application of anti-TNF drugs to the treatment of JIA.
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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) | 0.001 | 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".