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

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Patterns of cervical coinfection with multiple human papilloma virus types in a screening population in Denmark. / Goldman, Bryan; Rebolj, Matejka; Rygaard, Carsten; Preisler, Sarah; Ejegod, Ditte Møller; Lynge, Elsebeth; Bonde, Jesper.

In: The Vaccine Quarterly, Vol. 31, No. 12, 15.03.2013, p. 1604-9.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Goldman, B, Rebolj, M, Rygaard, C, Preisler, S, Ejegod, DM, Lynge, E & Bonde, J 2013, 'Patterns of cervical coinfection with multiple human papilloma virus types in a screening population in Denmark', The Vaccine Quarterly, vol. 31, no. 12, pp. 1604-9. https://doi.org/10.1016/j.vaccine.2012.12.084

APA

Goldman, B., Rebolj, M., Rygaard, C., Preisler, S., Ejegod, D. M., Lynge, E., & Bonde, J. (2013). Patterns of cervical coinfection with multiple human papilloma virus types in a screening population in Denmark. The Vaccine Quarterly, 31(12), 1604-9. https://doi.org/10.1016/j.vaccine.2012.12.084

Vancouver

Goldman B, Rebolj M, Rygaard C, Preisler S, Ejegod DM, Lynge E et al. Patterns of cervical coinfection with multiple human papilloma virus types in a screening population in Denmark. The Vaccine Quarterly. 2013 Mar 15;31(12):1604-9. https://doi.org/10.1016/j.vaccine.2012.12.084

Author

Goldman, Bryan ; Rebolj, Matejka ; Rygaard, Carsten ; Preisler, Sarah ; Ejegod, Ditte Møller ; Lynge, Elsebeth ; Bonde, Jesper. / Patterns of cervical coinfection with multiple human papilloma virus types in a screening population in Denmark. In: The Vaccine Quarterly. 2013 ; Vol. 31, No. 12. pp. 1604-9.

Bibtex

@article{759aa40a1dae4cb3b3c0325d0ca96628,
title = "Patterns of cervical coinfection with multiple human papilloma virus types in a screening population in Denmark",
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({\circledR}) 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",
author = "Bryan Goldman and Matejka Rebolj and Carsten Rygaard and Sarah Preisler and Ejegod, {Ditte M{\o}ller} and Elsebeth Lynge and Jesper Bonde",
note = "Copyright {\circledC} 2013 Elsevier Ltd. All rights reserved.",
year = "2013",
month = "3",
day = "15",
doi = "10.1016/j.vaccine.2012.12.084",
language = "English",
volume = "31",
pages = "1604--9",
journal = "The Vaccine Quarterly",
issn = "1935-5653",
publisher = "Wolters Kluwer Health * PharmaSolutions Division",
number = "12",

}

RIS

TY - JOUR

T1 - Patterns of cervical coinfection with multiple human papilloma virus types in a screening population in Denmark

AU - Goldman, Bryan

AU - Rebolj, Matejka

AU - Rygaard, Carsten

AU - Preisler, Sarah

AU - Ejegod, Ditte Møller

AU - Lynge, Elsebeth

AU - Bonde, Jesper

N1 - Copyright © 2013 Elsevier Ltd. All rights reserved.

PY - 2013/3/15

Y1 - 2013/3/15

N2 - 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

AB - 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

U2 - 10.1016/j.vaccine.2012.12.084

DO - 10.1016/j.vaccine.2012.12.084

M3 - Journal article

C2 - 23313651

VL - 31

SP - 1604

EP - 1609

JO - The Vaccine Quarterly

JF - The Vaccine Quarterly

SN - 1935-5653

IS - 12

ER -

ID: 45878286