Polymorphism of human papillomavirus type 31 isolates infecting the genital tract of HIV‐seropositive and HIV‐seronegative women at risk for HIV infection
Bibliographic record
Abstract
The genomic polymorphism of high-risk human papillomavirus (HPV) for types other than 16 has not been extensively described. We describe here the genomic polymorphism of high-risk HPV type 31 in 79 women (62 HIV-seropositive, 17 HIV-seronegative) by PCR-sequencing of the long control region (LCR), E6 and E7. LCR polymorphism was generated by 25 (6.4%) single-nucleotide variations over 391 bases. Each variant compared to the prototype contained from 2 to 13 variations (mean of 9.4 +/- 3.3, median of 10). Considering the number of variation sites in each region of HPV genome, the LCR was more variable than E6 (13 over 496 nucleotide (nt), P=0.03) and E7 (9 over 296 nt, P=0.03). Non-synonymous nucleotide variations were found in 31 (75.6%) of 41 isolates and were observed at six positions in E6. Each of the 8 HPV-31 E7 variants contained from 2 to 5 mutations (mean of 4.29 +/- 1.11, median of 5) compared to the prototype. Three non-synonymous E6 and E7 variations were within cysteine arrays. The LCR prototype was significantly over-represented in Caucasian women (14 (25%) of 56) compared to women of African descent (0 (0%) of 15 women, P=0.03). Four (23.5%) of 17 women with persistent versus 6 (25.0%) of 24 women with transient infections were infected by the prototype (P=1.00). HPV-31 LCR was more polymorphic than oncogenes and was associated with ethnicity.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".