Literature DB >> 16214929

Prevalence and clustering patterns of human papillomavirus genotypes in multiple infections.

Anil K Chaturvedi1, Leann Myers, Ansley F Hammons, Rebecca A Clark, Kathleen Dunlap, Patricia J Kissinger, Michael E Hagensee.   

Abstract

Prevalence of multiple human papillomavirus (HPV) infections, involvement of specific HPV phylogenetic clades in multiple infections, and clustering patterns of multiple infections at the clade level were assessed in 854 HIV (-) and 275 HIV (+) women cross-sectionally. Reverse line blot assay was used to detect 27 HPV genotypes. Involvement of specific clades in coinfections and clustering patterns were assessed using HPV clade/genotype as the unit of analyses. Expected frequencies assuming independence for all possible clade combinations in two-genotype infections were derived using a multinomial expansion and comparisons of observed and expected frequencies were done using a composite goodness-of-fit test. In all, 100 two-genotype infections were detected; 61 in HIV (-) and 39 in HIV (+) women. Clade A9 (HPV types 16, 31, 33, 35, 52, and 58) was significantly less likely to be involved in multiple infections compared with all other clades (55.2% versus 64.6%; adjusted odds ratios, 0.68; 95% confidence interval, 0.48-0.95). Observed patterns for all possible clade combinations (among HPV clades A3, A5, A6, A7, A9, and A10) in two-genotype infections did not significantly differ from those expected in the entire sample, across HIV, Pap smear, and age strata (all goodness-of-fit exact P > 0.20). These results indicate that clade A9 is less likely to be involved in multiple infections and that HPV genotypes predominantly establish multiple infections at random, with little positive/negative clustering for either phylogenetically related or unrelated types. The current method of analysis affords the opportunity to test clustering of a large number of HPV genotype/clade combinations at nominal alpha levels.

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Year:  2005        PMID: 16214929     DOI: 10.1158/1055-9965.EPI-05-0465

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  41 in total

1.  Bias Due to Correlation Between Times-at-Risk for Infection in Epidemiologic Studies Measuring Biological Interactions Between Sexually Transmitted Infections: A Case Study Using Human Papillomavirus Type Interactions.

Authors:  Talía Malagón; Philippe Lemieux-Mellouki; Jean-François Laprise; Marc Brisson
Journal:  Am J Epidemiol       Date:  2016-12-07       Impact factor: 4.897

2.  Recurring infection with ecologically distinct HPV types can explain high prevalence and diversity.

Authors:  Sylvia L Ranjeva; Edward B Baskerville; Vanja Dukic; Luisa L Villa; Eduardo Lazcano-Ponce; Anna R Giuliano; Greg Dwyer; Sarah Cobey
Journal:  Proc Natl Acad Sci U S A       Date:  2017-12-05       Impact factor: 11.205

3.  Multiple human papillomavirus infections and type competition in men.

Authors:  Anne F Rositch; Charles Poole; Michael G Hudgens; Kawango Agot; Edith Nyagaya; Stephen Moses; Peter J F Snijders; Chris J L M Meijer; Robert C Bailey; Jennifer S Smith
Journal:  J Infect Dis       Date:  2011-11-04       Impact factor: 5.226

4.  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

5.  Human papillomavirus type 18 chimeras containing the L2/L1 capsid genes from evolutionarily diverse papillomavirus types generate infectious virus.

Authors:  Brian S Bowser; Horng-Shen Chen; Michael J Conway; Neil D Christensen; Craig Meyers
Journal:  Virus Res       Date:  2011-07-06       Impact factor: 3.303

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

Authors:  Salvatore Vaccarella; Silvia Franceschi; Rolando Herrero; Mark Schiffman; Ana Cecilia Rodriguez; Allan Hildesheim; Robert D Burk; Martyn Plummer
Journal:  J Infect Dis       Date:  2011-08-01       Impact factor: 5.226

7.  High Rate of Multiple Concurrent Human Papillomavirus Infections among HIV-Uninfected South African Adolescents.

Authors:  David Adler; Fatima Laher; Melissa Wallace; Katherine Grzesik; Heather Jaspan; Linda-Gail Bekker; Glenda Gray; Ziyaad Valley-Omar; Bruce Allan; Anna-Lise Williamson
Journal:  J Immunol Tech Infect Dis       Date:  2013

8.  Vaccine-relevant human papillomavirus (HPV) infections and future acquisition of high-risk HPV types in men.

Authors:  Anne F Rositch; Michael G Hudgens; Danielle M Backes; Stephen Moses; Kawango Agot; Edith Nyagaya; Peter J F Snijders; Chris J L M Meijer; Robert C Bailey; Jennifer S Smith
Journal:  J Infect Dis       Date:  2012-06-18       Impact factor: 5.226

9.  Key considerations and current perspectives of epidemiological studies on human papillomavirus persistence, the intermediate phenotype to cervical cancer.

Authors:  S L Sudenga; S Shrestha
Journal:  Int J Infect Dis       Date:  2013-02-27       Impact factor: 3.623

10.  Association of HIV infection with distribution and viral load of HPV types in Kenya: a survey with 820 female sex workers.

Authors:  Stanley M F Luchters; Davy Vanden Broeck; Matthew F Chersich; Annalene Nel; Wim Delva; Kishor Mandaliya; Christophe E Depuydt; Patricia Claeys; John-Paul Bogers; Marleen Temmerman
Journal:  BMC Infect Dis       Date:  2010-01-26       Impact factor: 3.090

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