Sequence Imputation of HPV16 Genomes for Genetic Association Studies
2011

Understanding HPV16 Variants and Their Cancer Risk

Sample size: 412 publication 10 minutes Evidence: moderate

Author Information

Author(s): Benjamin Smith, Zigui Chen, Laura Reimers, Koenraad van Doorslaer, Mark Schiffman, Rob DeSalle, Rolando Herrero, Kai Yu, Sholom Wacholder, Tao Wang, Robert D. Burk

Primary Institution: Albert Einstein College of Medicine

Hypothesis

What genetic variations in HPV16 contribute to its oncogenic properties?

Conclusion

The study found that specific genetic variations in HPV16 are associated with increased cancer risk, particularly in certain lineages.

Supporting Evidence

  • HPV16 variants show evolutionarily stable lineages with conserved diagnostic SNPs.
  • The imputation algorithm accurately predicts SNPs from partial sequence data.
  • Specific HPV16 SNPs were associated with increased odds ratios for cervical cancer.
  • Lineage-specific SNPs were identified that may indicate higher cancer risk.
  • Imputation accuracy was estimated to be over 97% for SNPs.
  • Non-European HPV16 variants were found to have a stronger association with high-grade cervical neoplasia.

Takeaway

This study looks at how different versions of the HPV16 virus can affect the risk of getting cervical cancer. It found that some versions are more dangerous than others.

Methodology

The study used a reference set of 62 complete HPV16 genome sequences to analyze genetic variations and their association with cervical cancer risk through a viral genome-wide association study.

Limitations

The study's statistical power was limited, and no individual SNPs reached statistical significance.

Participant Demographics

Participants were women from Guanacaste, Costa Rica, with 115 cases of cervical intraepithelial neoplasia 3 or cancer and 297 controls with resolved HPV16 infections.

Statistical Information

P-Value

p=0.07 for overall odds ratio calculations

Confidence Interval

95% C.I. 0.95–3.18 for overall odds ratio

Digital Object Identifier (DOI)

10.1371/journal.pone.0021375

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