Association of heme oxygenase‐1 single nucleotide polymorphisms with susceptibility to tuberculosis in Chinese Han population
Bibliographic record
Abstract
BACKGROUND: Tuberculosis (TB) is an infectious disease, caused by mycobacterium tuberculosis infection, which is associated with oxidative stress and the induction of host antioxidants to counteract this response. The heme oxygenase-1 (HO-1) single nucleotide polymorphisms have been reported to be associated with many critical diseases. Our purpose was to investigate the association of HO-1 single nucleotide polymorphisms with the susceptibility to tuberculosis in Chinese Han population. METHODS: A case-control study was performed on Chinese Han population, and a group of 638 TB patients was compared to 610 healthy controls. Three single nucleotide polymorphisms (SNPs) including rs2071746, rs5995098, and rs8140669 were genotyped using the MassARRAY platform. The genotype frequency was compared between TB patients and healthy controls. The association between the three genetic models of the three SNPs and TB risk was further investigated. RESULTS: The results showed that, in the case of additive model, there was significant difference of the genotype frequencies of SNP rs8140669 between the TB patients and control groups (P = .038). In the case of dominant model, the genotype frequencies of SNP rs8140669 may have difference between the two cohorts (P = .051), while the allele frequency and genotype distribution for other two SNPs showed no significant difference between the two groups (P > .05). CONCLUSION: HO-1 polymorphism was associated with TB susceptibility in Chinese Han population.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".