Association of Rs13118928 and Rs1828591 Polymorphisms in HHIP Gene with COPD Susceptibility: A Meta-Analysis of Case-Control Studies
Bibliographic record
Abstract
Abstract In recent years, investigators have been striving to explore the pathogenesis of chronic obstructive pneumonia disease (COPD). Hedgehog Interacting Protein (HHIP) has been identified as a candidate susceptibility gene. Our aim is to synthesize and include all evidences to get a more comprehensive result. We searched 6 online databases- PubMed, Web of Science, Cochrane Library, Wanfang, EMBASE, CNKI. All included studies were published before October 1, 2021. We used Newcastle-Ottawa scale (NOS) to evaluate the bias of each study. Meta-analysis methods were conducted to evaluate the pooled result. A total of 14 comparative studies were included in this meta-analysis, for rs13118928 polymorphism, significant associations were observed in 5 genetic models, (A vs. G, OR=1.18, 95CI%=[1.07-1.30], P=0.0006; AA vs. GG, OR=1.56, 95CI%=[1.22-2.00], P=0.0004; AG vs. GG, OR=1.28, 95CI%=[1.05-1.55], P=0.01; AA+AG vs. GG, OR=1.36, 95CI%=[1.12-1.65], P=0.002; AA vs. AG+GG, OR=1.18, 95CI%=[1.05-1.33], P=0.006). as for rs1828591, there were also significant associations detected in the overall population, (A vs. G, OR=1.12, 95CI%=[1.05-1.19], P=0.0003; AA vs. GG, OR=1.27, 95CI%=[1.04-1.56], P=0.02; AG vs. GG, OR=1.25, 95CI%=[1.03-1.51], P=0.02; AA+AG vs. GG, OR=1.26, 95CI%=[1.04-1.53], P=0.02; AA vs. AG+GG, OR=1.10, 95CI%=[1.01-1.19], P=0.03). This meta-analysis showed that the A allele in both rs13118928 and rs1828591 was turn out to be the risk allele in developing COPD. The result of Codominant genetic model, Dominant genetic model and Recessive genetic model remain the same.
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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 | 0.025 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.016 | 0.049 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".