Clustering of multiple human papillomavirus infections in women from a population-based study in Guanacaste, Costa Rica.

OBJECTIVE To evaluate clustering patterns of prevalent infection with multiple human papillomavirus (HPV) types in 8365 nonhysterectomized women from the Guanacaste Study of HPV Natural History. METHODS HPV testing was performed on cervical cells by MY09/M11 L1 degenerate consensus primer polymerase chain reaction method, with dot-blot hybridization for genotyping. Logistic regression was used to model type-specific HPV positivity, adjusted for age, lifetime number of sexual partners, and specific HPV type prevalence. Woman-level random effects were added to represent unobservable risk factors common to all HPV types. RESULTS The observed-to-expected ratio for infections with 2 types was 1.16 (95% credible interval: 1.11-1.21) and for ≥3 types was 1.04 (95% credible interval: .96-1.13). The tendency of HPV types to cluster increased significantly with the genetic similarity of L1 regions. P value < .01 was observed for 2 HPV pairs: HPV-62 and -81 were found together more, while HPV-51 and -71 were found together less often than expected. CONCLUSIONS We found a small degree of aggregation between any HPV types and lack of clustering between specific carcinogenic types. Our data indirectly provide reassurance on lack of misclassification for the large majority of HPV types in multiple infections detected by the MY09/11 method and genotyped using dot-blot hybridization.

[1]  S. Wacholder,et al.  Human papillomavirus infection with multiple types: pattern of coinfection and risk of cervical disease. , 2011, The Journal of infectious diseases.

[2]  M. Plummer,et al.  Multiple human papillomavirus infections: the exception or the rule? , 2011, The Journal of infectious diseases.

[3]  S. Wacholder,et al.  Chlamydia trachomatis and risk of prevalent and incident cervical premalignancy in a population-based cohort. , 2010, Journal of the National Cancer Institute.

[4]  E. de Villiers,et al.  Classification of papillomaviruses (PVs) based on 189 PV types and proposal of taxonomic amendments. , 2010, Virology.

[5]  Martyn Plummer,et al.  Concurrent Infection with Multiple Human Papillomavirus Types: Pooled Analysis of the IARC HPV Prevalence Surveys , 2010, Cancer Epidemiology, Biomarkers & Prevention.

[6]  K. Anastos,et al.  Marginal and Mixed-Effects Models in the Analysis of Human Papillomavirus Natural History Data , 2010, Cancer Epidemiology, Biomarkers & Prevention.

[7]  M. Schiffman,et al.  Classification of weakly carcinogenic human papillomavirus types: addressing the limits of epidemiology at the borderline , 2009, Infectious Agents and Cancer.

[8]  K. Straif,et al.  A review of human carcinogens--Part B: biological agents. , 2009, The Lancet. Oncology.

[9]  W. Quint,et al.  Comparison of the performance of different HPV genotyping methods for detecting genital HPV types , 2008, Journal of medical virology.

[10]  M. Plummer,et al.  A 2-Year Prospective Study of Human Papillomavirus Persistence Among Women With a Cytological Diagnosis of Atypical Squamous Cells of Undetermined Significance or Low-Grade Squamous Intraepithelial Lesion , 2008 .

[11]  Rodrigo Lopez,et al.  Clustal W and Clustal X version 2.0 , 2007, Bioinform..

[12]  S. Franceschi,et al.  Sexual Behavior, Condom Use, and Human Papillomavirus: Pooled Analysis of the IARC Human Papillomavirus Prevalence Surveys , 2006, Cancer Epidemiology Biomarkers & Prevention.

[13]  Leann Myers,et al.  Prevalence and Clustering Patterns of Human Papillomavirus Genotypes in Multiple Infections , 2005, Cancer Epidemiology Biomarkers & Prevention.

[14]  V. Moreno,et al.  Cervical coinfection with human papillomavirus (HPV) types and possible implications for the prevention of cervical cancer by HPV vaccines. , 2005, The Journal of infectious diseases.

[15]  Allan Hildesheim,et al.  Description of a seven-year prospective study of human papillomavirus infection and cervical neoplasia among 10000 women in Guanacaste, Costa Rica,. , 2004, Revista panamericana de salud publica = Pan American journal of public health.

[16]  M. Sherman,et al.  Comparisons of HPV DNA detection by MY09/11 PCR methods , 2002, Journal of medical virology.

[17]  C. Peyton,et al.  Genotyping of Human Papillomavirus in Liquid Cytology Cervical Specimens by the PGMY Line Blot Assay and the SPF10 Line Probe Assay , 2002, Journal of Clinical Microbiology.

[18]  T. Rohan,et al.  Cervical coinfection with human papillomavirus (HPV) types as a predictor of acquisition and persistence of HPV infection. , 2001, The Journal of infectious diseases.

[19]  N. Kiviat,et al.  Concurrent and sequential acquisition of different genital human papillomavirus types. , 2000, The Journal of infectious diseases.

[20]  T. Rohan,et al.  Epidemiology of acquisition and clearance of cervical human papillomavirus infection in women from a high-risk area for cervical cancer. , 1999, The Journal of infectious diseases.

[21]  R. Burk,et al.  PCR detection of human papillomavirus: comparison between MY09/MY11 and GP5+/GP6+ primer systems , 1997, Journal of clinical microbiology.

[22]  L. Mango,et al.  Design and methods of a population-based natural history study of cervical neoplasia in a rural province of Costa Rica: the Guanacaste Project. , 1997, Revista panamericana de salud publica = Pan American journal of public health.

[23]  David B. Dunson,et al.  Bayesian Data Analysis , 2010 .

[24]  J. Thompson,et al.  CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. , 1994, Nucleic acids research.

[25]  David R. Scott,et al.  A prospective study of human papillomavirus (HPV) type 16 DNA detection by polymerase chain reaction and its association with acquisition and persistence of other HPV types. , 2001, The Journal of infectious diseases.