[Meta-analysis on relationship between single nucleotide polymorphism of rs2231142 in ABCG2 gene and gout in East Asian population].
Bibliographic record
Abstract
OBJECTIVE: To systematically evaluate the association between single nucleotide polymorphism of rs2231142 genetic susceptibility and gout in East Asian population. METHODS: The literature retrieval was conducted by using English databases (Medline, EMbase), Chinese databases (CNKI, Vip, Wanfang, SinaMed) and others to collect the published papers on the association between single nucleotide polymorphism of rs2231142 genetic susceptibility and gout by the end of December 2014. Meta-analysis was performed with software Stata 12.0. RESULTS: Nine studies were included. There were significant associations between increased risk of gout and single nucleotide polymorphism of rs2231142, the combined OR was 2.04 (95%CI: 1.82-2.28) for A allele and C allele, 1.97 (95%CI: 1.57-2.48) for CA and CC, 3.71 (95%CI: 3.07-4.47) for AA and CC. Sex and region specific subgroup analysis showed less heterogeneity. CONCLUSION: There is significant association between gout and single nucleotide polymorphism of rs2231142 in East Asian population, and A allele is a high risk gene for gout.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.025 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".