Association Between the <i>IL10</i> − <i>1082A>G</i> (rs1800896) Single-Nucleotide Polymorphism and Atopic Dermatitis: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
BACKGROUND: The potentially functionally relevant IL10 -1082A>G (rs1800896) promoter region single-nucleotide polymorphism has been implicated in the pathogenesis of atopic dermatitis (AD). Although this relationship has been studied extensively, these association studies were limited by small sample size. OBJECTIVE: To increase statistical power and obtain a more precise estimate of the association, literature evidence on IL10 -1082A>G and AD was assessed by conducting a systematic review and meta-analysis. METHODS: This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. PubMed (MEDLINE), EMBASE, Scopus, and HuGE Literature Finder literature databases were systematically searched for relevant studies. Summary odds ratios and corresponding 95% confidence intervals were estimated using the fixed-effect inverse variance analysis method for allelic (G vs A) and genotypic comparisons. RESULTS: Meta-analysis of 7 studies (n = 849 cases and 1195 controls) found a nonsignificant association between the IL10 -1082A>G polymorphism and AD (allelic odds ratio, 1.02; 95% confidence interval, 0.88-1.19; P = 0.77). CONCLUSIONS: This study was unable to find a direct association between IL10 -1082A>G and AD. Further studies are needed to reveal the contributions of haplotype and gene-gene and gene-environment interaction effects involving this single-nucleotide polymorphism to AD.
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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 | 0.009 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.028 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| 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".