Interleukin 4 –590C/T (rs2243250) Polymorphism Is Associated With Increased Risk of Atopic Dermatitis: Meta-Analysis of Case-Control Studies
Bibliographic record
Abstract
BACKGROUND: Interleukin 4 (IL-4) -590C/T polymorphism has been reported to influence atopic dermatitis (AD) susceptibility, but the results are controversial. OBJECTIVE: This meta-analysis was performed to study the association between IL-4 -590C/T polymorphism and AD susceptibility. METHODS: The PubMed, Embase, and China National Knowledge Infrastructure databases were searched. Odds ratios (ORs) with 95% confidence intervals (CIs) were performed to estimate the strength of the association. RESULTS: Ten studies comprising 923 cases and 1215 controls were included. The overall population revealed significant associations between IL-4 -590C/T polymorphism and AD susceptibility under the allele (OR, 1.19; 95% CI, 1.03-1.38; I = 0.0%), recessive (OR, 1.27; 95% CI, 1.002-1.61; I = 0.0%), and dominant (OR, 1.33; 95% CI, 1.003-1.76; I = 0.0%) models; similar results were found under the allele (OR, 1.19; 95% CI, 1.01-1.39; I = 0.0%) and recessive (OR, 1.27; 95% CI, 1.001-1.62; I = 0.0%) models after excluding not-in-Hardy-Weinberg equilibrium studies. However, subgroup analyses by ethnicity showed no significant association in Asians or whites. Subgroup analyses by age indicated a significant association in children under the allele (OR, 1.30; 95% CI, 1.06-1.60; I = 0.0%) and dominant (OR, 1.42; 95% CI, 1.02-1.97; I = 0.0%) models, children in articles with Hardy-Weinberg equilibrium under the allele model (OR, 1.33; 95% CI, 1.05-1.69; I = 0.0%), and Asian children under the allele model (OR, 1.41; 95% CI, 1.02-1.95; I = 0.0%) but not in white children. CONCLUSIONS: The IL-4 -590C/T polymorphism may contribute to AD susceptibility in the overall population and children, especially for Asian children, but large well-designed studies are warranted to confirm this conclusion.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".