Association of an asporin repeat polymorphism with ankylosing spondylitis in Han Chinese Population: A case-control study
Bibliographic record
Abstract
OBJECTIVE: To investigate the role of a functional polymorphism consisting of an aspartic acid (D) repeat located in the asporin gene (ASPN) gene in the susceptibility to and clinical outcome of ankylosing spondylitis (AS). METHODS: A total of 374 Chinese patients with ankylosing spondylitis and 421 controls of the same ethnic origin matched for age and sex were included in the study. The asporin D repeat polymorphism was genotyped by polymerase chain reaction with a fluorescent primer. RESULTS: Significant differences between AS patients and controls were detected in the distribution of the 7 alleles found in our population. D14 and D16 alleles were significantly over-represented in AS patients (D14, P=0.001, odds ratio (OR)=1.857, 95% confidence interval(CI) 1.27-2.715; and D16, P < 0.0001, OR=2.605, 95% CI 1.75-3.879). D16 over-representation was more common in early-onset patients than in late-onset patients, although the difference did not reach significance (P= 0.071). CONCLUSION: The results support a role for an asporin D repeat polymorphism in the susceptibility to AS and an influence of this gene on the outcome of the disease. D14 and D16 allele variants of ASPN might be the susceptibility alleles for AS in the Han Chinese population, whereas the D13 allele variant may have a protective effect on the onset of AS.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".