Polymorphisms of the Human Leukocyte Antigen DRB1 and DQB1 Genes and the Natural History of Human Papillomavirus Infection
Bibliographic record
Abstract
This study investigated, through cohort analysis, whether HLA-DRB1 and -DQB1 variability is related to human papillomavirus (HPV) infection prevalence and persistence. HLA-DRB1 and -DQB1 genes were typed in 620 samples from the Ludwig-McGill cohort. HPV positivity was tested in specimens collected every 4 months during the first year of follow-up. Persistent and long-term infections were defined as at least 2 or 3 consecutive positive results for the same HPV type, respectively. The magnitudes of associations were estimated by unconditional logistic regression analysis adjusted for potential confounders. The DRB1*0301-DQB1*0201 haplotype was associated with a 2-fold reduction in risk for transient and persistent HPV infections. DRB1*1102-DQB1*0301 showed a lower-risk effect only for persistence. DRB1*1601-DQB1*0502 and DRB1*0807-DQB1*0402 were associated with a 7-fold and a 3-fold increase, respectively, in risk for persistence. The results suggest that HLA class II polymorphisms are involved in clearance and maintenance of HPV infection.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".