Multiple high-risk HPV genotypes are grouped by type and are associated with viral load and risk factors

L. Del Río-Ospina, S. C. Soto-De León, M. Camargo, R. Sánchez, D. A. Moreno-Pérez, A. Pérez-Prados, M. A. Patarroyo, Manuel Elkin Patarroyo

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


Investigating whether high-risk human papillomavirus (HR-HPV) types tend to become grouped in a particular way and whether factors are associated with such grouping is important for measuring the real impact of vaccination. In total, 219 women proving positive for HPV as detected by real-time PCR were included in the study. Each sample was analysed for detecting and quantifying six viral types and the hydroxymethylbilane synthase gene. Multiple correspondence analysis led to determining grouping patterns for six HR-HPV types and simultaneous association with multiple variables and whether viral load was related to the coexistence of other viral types. Two grouping profiles were identified: the first included HPV-16 and HPV-45 and the second profile was represented by HPV-31, HPV-33 and HPV-58. Variables such as origin, contraceptive method, births and pregnancies, educational level, healthcare affiliation regime, atypical squamous cells of undetermined significance and viral load were associated with these grouping profiles. Different socio-demographic characteristics were found when coinfection occurred by phylogenetically related HPV types and when coinfection was due to non-related types. Biological characteristics, the number of viral copies, temporality regarding acquiring infection and competition between viral types could influence the configuration of grouping patterns. Characteristics related to women and HPV, influence such interactions between coexisting HPV types reflecting the importance of their evaluation.

Original languageEnglish (US)
Pages (from-to)1479-1490
Number of pages12
JournalEpidemiology and Infection
Issue number7
StatePublished - May 1 2017

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Infectious Diseases


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