Literature DB >> 23313651

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

Bryan Goldman1, Matejka Rebolj, Carsten Rygaard, Sarah Preisler, Ditte Møller Ejegod, Elsebeth Lynge, Jesper Bonde.   

Abstract

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<0.05 after adjustment for multiple comparisons). The pairwise odds ratios showed significant heterogeneity (Woolf's test p<0.0001). For simulations based on common dependence, three pairs had observed to expected (O/E) ratios significantly different than 1 (31/68, O/E=4.20; 51/68, O/E=2.52; 33/58, O/E=3.27; all p<0.05 after adjustment for multiple comparisons). HPV68 occurred in multiple infections nearly four times as often as expected under common dependence (p<0.005 after adjustment for multiple comparisons). These results indicate some interaction between HPV types, and suggest that common risk factors do not entirely explain the observed HPV coinfection pattern, although no evidence is found that the prevalence of any types not targeted by the quadrivalent vaccine may be indirectly increased or decreased after widespread use of the vaccine.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23313651     DOI: 10.1016/j.vaccine.2012.12.084

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  18 in total

1.  Impact of coverage-dependent marginal costs on optimal HPV vaccination strategies.

Authors:  Marc D Ryser; Kevin McGoff; David P Herzog; David J Sivakoff; Evan R Myers
Journal:  Epidemics       Date:  2015-02-07       Impact factor: 4.396

2.  Superinfection Exclusion between Two High-Risk Human Papillomavirus Types during a Coinfection.

Authors:  Jennifer Biryukov; Craig Meyers
Journal:  J Virol       Date:  2018-03-28       Impact factor: 5.103

3.  Human papillomavirus community in healthy persons, defined by metagenomics analysis of human microbiome project shotgun sequencing data sets.

Authors:  Yingfei Ma; Ramana Madupu; Ulas Karaoz; Carlos W Nossa; Liying Yang; Shibu Yooseph; Patrick S Yachimski; Eoin L Brodie; Karen E Nelson; Zhiheng Pei
Journal:  J Virol       Date:  2014-02-12       Impact factor: 5.103

4.  Cervical cytology and multiple type HPV infection: a study of 8182 women ages 31-65.

Authors:  Elizabeth L Dickson; Rachel Isaksson Vogel; Melissa A Geller; Levi S Downs
Journal:  Gynecol Oncol       Date:  2014-03-20       Impact factor: 5.482

5.  Prevalence of type-specific HPV among female university students from northern Brazil.

Authors:  Rodrigo Covre Vieira; Jeniffer do Socorro Valente Monteiro; Estéfane Primo Manso; Maria Renata Mendonça Dos Santos; Mihoko Yamamoto Tsutsumi; Edna Aoba Yassui Ishikawa; Stephen Francis Ferrari; Karla Valéria Batista Lima; Maísa Silva de Sousa
Journal:  Infect Agent Cancer       Date:  2015-07-22       Impact factor: 2.965

6.  HPV prevalence and genotype distribution in a population-based split-sample study of well-screened women using CLART HPV2 human papillomavirus genotype microarray system.

Authors:  Jesper Bonde; Matejka Rebolj; Ditte Møller Ejegod; Sarah Preisler; Elsebeth Lynge; Carsten Rygaard
Journal:  BMC Infect Dis       Date:  2014-07-26       Impact factor: 3.090

7.  Human Papillomavirus Assays and Cytology in Primary Cervical Screening of Women Aged 30 Years and Above.

Authors:  Matejka Rebolj; Jesper Bonde; Sarah Preisler; Ditte Ejegod; Carsten Rygaard; Elsebeth Lynge
Journal:  PLoS One       Date:  2016-01-20       Impact factor: 3.240

8.  High HPV-51 prevalence in invasive cervical cancers: results of a pre-immunization survey in North Sardinia, Italy.

Authors:  Andrea Piana; Giovanni Sotgiu; Clementina Cocuzza; Rosario Musumeci; Vincenzo Marras; Stefania Pischedda; Silvia Deidda; Elena Muresu; Paolo Castiglia
Journal:  PLoS One       Date:  2013-05-22       Impact factor: 3.240

9.  Patterns of human papillomavirus types in multiple infections: an analysis in women and men of the high throughput human papillomavirus monitoring study.

Authors:  Salvatore Vaccarella; Anna Söderlund-Strand; Silvia Franceschi; Martyn Plummer; Joakim Dillner
Journal:  PLoS One       Date:  2013-08-19       Impact factor: 3.240

10.  Evidence for contribution of common genetic variants within chromosome 8p21.2-8p21.1 to restricted and repetitive behaviors in autism spectrum disorders.

Authors:  Yu Tao; Hui Gao; Benjamin Ackerman; Wei Guo; David Saffen; Yin Yao Shugart
Journal:  BMC Genomics       Date:  2016-03-01       Impact factor: 3.969

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