Impact of rs3077 (HLA-DPA1 gene) on chronic hepatitis B virus carriage in Cotonou
Bibliographic record
Abstract
Hepatitis B Virus (HBV) is a major global health concern, particularly in sub-Saharan Africa, where infection rates are notably high. Despite this, data on the host genetic contributors to HBV infection, such as the single nucleotide polymorphism rs3077 (HLA-DPA1 gene), are unavailable in this region. To contribute to closing this gap, the present study explored the association between rs3077 and chronic hepatitis B virus (HBV) carriage. We used a cross-sectional study design, incorporating both descriptive analyses of chronic HBV carriers and analytical assays for rs3077 genotyping. The study included 48 melanoderma subjects with chronic HBV from the hepato-gastroenterology department of CNHU Hospital. These were matched by age and sex with 49 HBV-negative control subjects, selected from blood donors at the Atlantic-Littoral section of the Blood Donor Agency (ANTS). Both cases and controls underwent RT-PCR genotyping. The average age of chronic HBV carriers was 41.21±12.34 years, with the most prevalent age group being 31 to 43 years, accounting for 33.33% of the population. Considering potential transmission modes, the T allele was identified as a protective factor in the dominant model (Odds Ratio [OR] 0.046; 95% Confidence Interval [CI] 0.005 - 0.136). Conversely, the C allele was found to be a risk factor in both recessive (OR 47.162; 95% CI 6.754 - 203.063) and codominant models (OR 49.782; 95% CI 7.218 - 213.609). This study reveals that the C and T alleles of rs3077 have distinct roles in chronic hepatitis B virus carriage among individuals in Cotonou. Specifically, the C allele seems to be a risk factor, while the T allele appears to confer a protective effect. This finding emphasizes the importance of host genetic variation in HBV susceptibility and provides valuable insights for future research and potential targeted healthcare strategies in regions with high HBV prevalence.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".