Clustering patterns of human papillomavirus genotypes in multiple infections

Arsenio Spinillo, Barbara Dal Bello, Paola Alberizzi, Stefania Cesari, Barbara Gardella, Marianna Roccio, Enrico Maria Silini

Research output: Contribution to journalArticlepeer-review


Many human papillomavirus (HPV) infections are sustained by multiple viral genotypes whose effect on the risk of cervical intraepithelial neoplasia (CIN) is unknown. The study investigated whether specific HPV types or species may affect the likelihood of multiple infections and have a clustered distribution in a consecutive series of 681 women with a histological diagnosis of CIN. HPV typing was performed by the SPF10-LIPA assay; associations were evaluated by loglinear analysis of multiple contingency tables after stratification by age and CIN grade. HPV prevalence was 99.4% with a 72.1% rate of coinfection. The risk of coinfection was higher for types 6, 11, 16, 18, 31, 33, 51, 52, 56. Significant interactions were found for species A7-A9-A10, A6-A9 and A7-A10. Coinfection by types 31-35-56, 16-51-52, 16-18 and 51-52 was more frequent than expected. Interactions between viral species and HPV 16-18 were maintained among CIN1, whereas interactions of 16-51-52 and 31-51-56 were significant only in CIN ≥ 2. Interactions between species and types were lost among women younger than 32 years. Significant clustering of HPV types and species occurs among women with CIN. This has implications for the assessment of the oncogenic potential and the prevention of HPV infections.

Original languageEnglish
Pages (from-to)154-159
Number of pages6
JournalVirus Research
Issue number1-2
Publication statusPublished - Jun 2009


  • Cancer
  • Cervical intraepithelial neoplasia (CIN)
  • Cervix
  • Coinfection
  • Human papillomavirus (HPV)
  • Squamous intraepithelial lesion (SIL)

ASJC Scopus subject areas

  • Virology
  • Infectious Diseases
  • Cancer Research


Dive into the research topics of 'Clustering patterns of human papillomavirus genotypes in multiple infections'. Together they form a unique fingerprint.

Cite this