Association of Codon 72 of P53 Gene Polymorphism with Chronic Hepatitis C Virus Infection: A Case Control Study
Bibliographic record
Abstract
Single nucleotide polymorphism in codon 72 of p53 gene (Arg/Pro) changes p53 protein structure and affects its activities. Hepatitis C virus (HCV) is believed to induce hepatocellular carcinoma and P53 polymorphisms have been associated with human cancers. The aim of this study was to evaluate genetic variants of codon 72 of p53 gene polymorphism in HCV patients and its relationship with HCV infection. The study was conducted on 67 HCV patients, who were referred to medical centers of Mashhad city, Iran, and 73 healthy people from the same region. Genotyping of codon 72 of p53 gene was performed by PCR-RFLP method. The distributions of different alleles of p53 polymorphisms did not differ significantly between groups. The respective proportions of Proline homozygotes, heterozygotes, and Arginine homozygotes were 37.31%, 35.82%, 26.86% in patients and 39.72%, 27.39%, and 32.87% in the control group respectively. However, we found no significant differenece for the allelic or genotype distribution between cases and controls. Our results indicated no strong evidence of association of the p53 polymorphism with HCV infection; however, further investigation is needed in different ethnic groups to elucidate the role of this polymorphism in HCV 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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".