A Meta analysis of association between IL-1 gene polymorphisms and Beh(c)et disease susciptibility
Bibliographic record
Abstract
Background Interleukin (IL)-1a-889C/T,IL-1β-S11C/T,+ 3962C/T and IL-1Ra-2 are different morphology of single nucleotide of interleuki-1 (IL-1).The potential relationship of IL-1 polymorphisms with Beh(c)et disease has been studied in several populations and groups.However,study outcomes are controversial for a long duration.Objective This Meta-analysis was to determine whether the IL-1 gene polymorphisms is associated with the pathogenesis and development of Beh(c)et disease.Methods The literature of the assoiation between IL-1 polymorphisms and Beh(c)et disease was retrieved from Medline,EMBASE,Cochrane Library,Web of knowledge,Google Scholar,Wanfang and CNKI databases.All the published original articles (case-control studies) were reviewed with the deadline May 31,2013,and the languages were limited to English and Chinese.Included reports were evaluated based on Newcastle-Ottawa Scale (NOS) score.The potential influence of IL-1α-889TT gene,IL-1β-3962C,IL-1β-511T and IL-1Ra-2 polymorphisms on Beh(c)et disease were analyzed.RevMan5.0,the Cochrane collaboration software program,was used to prepare and complete this review.The effect size was assessed using fixed effect model in the index with lower heterogeneity (I2 ＜50％) or randomized effect model in the index with higher heterogeneity (I2＞50％).Results The literature search resulted a total of 370 cases-controlled studies,and 7 studies met the included criteria,with the NOS scores ≥ 8.The total patients were 499 and normal controls were 708.Meta-analysis was performed on several populations.Overall,the polymorphisms of IL-1β-3962C allele increased the susciptibility of Beh(c)et disease (OR =1.41,95％ CI:1.06-1.88,P =0.02),and IL-1α-889TT genotype reduced the risk of Beh(c)et disease (OR =0.61,95 ％ CI:0.40-0.92,P =0.02).However,There was no significant association between variants of IL-1β-511T allele (OR =0.84,95％ CI:0.58-1.23,P=0.38) or IL-1RA-2 allele (OR =1.25,95％ CI:0.50-3.14,P=0.63) and Beh(c)et disease susciptibility.Conclusions These results suggest that Beh(c)et disease is associated with the IL-1 gene polymorphisms at the locations α-889C/T and β-3962C/T.A larger sample size clinical data still are need to confirm this conclusion. Key words: Beh(c)et disease; Interleukin-1; Polymorphism; Meta analysis
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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 | 0.015 | 0.026 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.017 | 0.050 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".