Correlation between polymorphism of vitamin D receptor TaqI and susceptibility to tuberculosis
Bibliographic record
Abstract
Abstract Background: To investigate the association between TaqI polymorphism of the vitamin D receptor gene and tuberculosis (TB). Methods: A systematic search was performed in PubMed, Embase, Web of Science, Elsevier Science Direct, Cochrane Library, Chinese National Knowledge Infrastructure, Wanfang, and Chongqing VIP databases for case-control study on TaqI gene polymorphism and TB susceptivity. Quality assessment of studies was performed using the Newcastle–Ottawa Scale for the methodological assessment of case-control studies, and R 4.0.5 software was used for the meta-analysis. Results: Among the 243 selected articles, 27 in the meta-analysis. The meta-analysis showed that the TaqI gene polymorphism allene gene model (t vs T, odds ratio [OR]: 1.12, 95% confidence interval [CI]: 0.99–1.27); dominant model (tt + tT vs TT, OR: 1.12, 95% CI: 0.98–1.29); recessive model (tt vs tT + TT, OR: 1.25, 95% CI: 1.03–1.51); codominant A (tt vs TT, OR: 1.37, 95% CI: 1.00–1.87); codominant B (tT vs TT, OR: 1.09, 95% CI: 0.99–1.19). And subgroup dominant model (tt + tT vs TT, OR: 1.27, 95% CI: 1.03–1.55) in Indianas, recessive model (tt vs tT + TT, OR: 1.49, 95% CI: 1.05–2.11) in Iranians, co-dominant B (tT vs TT, OR: 1.28, 95% CI: 1.03–1.59; OR: 1.42, 95% CI: 1.05–1.93) in Indianas and Iranians. Conclusion: This meta-analysis suggests a significant association between TB and the risk of TaqI in Iranians and Indians, but the vitamin D receptor polymorphism TaqI was not associated with Chinese. Thus, validation studies will be required to confirm these findings.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.007 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".