Patterns of cervical coinfection with multiple human papilloma virus types in a screening population in Denmark

Research output: Contribution to journalJournal articleResearchpeer-review

  • Bryan Goldman
  • Matejka Rebolj
  • Carsten Rygaard
  • Sarah Preisler
  • Ditte Møller Ejegod
  • Lynge, Elsebeth
  • Jesper Bonde
Patterns of cervical human papillomavirus (HPV) infection suggest that HPV genotypes are not independent of each other. This may be explained by risk factors common to all HPV infections, but type-specific biological factors may also play a role. This raises the question of whether widespread use of the quadrivalent vaccine (covering HPV6, 11, 16, 18) may indirectly affect the prevalence of any non-vaccine types. Routine screening samples from 5014 Danish women were tested for 35 HPV genotypes (including 13 high-risk) using the Genomica CLART(®) HPV2 kit, which is a low-density microarray based on PCR amplification. Simulation studies were performed both under independence between genotypes and under a common dependence structure as would arise from common risk factors, and simulation results were compared to observed coinfection patterns. Overall HPV prevalence was 37.4%, with multiple infections in 17.9%. For 15 HPV types of primary interest (13 high-risk plus HPV6, 11), almost all pairs occurred more often than expected under independence; 33/105 (31.4%) were statistically significant (p
Original languageEnglish
JournalThe Vaccine Quarterly
Issue number12
Pages (from-to)1604-9
Number of pages6
Publication statusPublished - 15 Mar 2013

ID: 45878286