An analysis of clustering of betapapillomavirus antibodies

Mallitt, K.A., O'Rourke, P., Bouwes Bavinck, J.N., Abeni, D., de Koning, M.N.C., Feltkamp, M.C.W., Green, A.C., Quint, W.G.V., Michael, K.M., Pawlita, M., Pfister, H., Weissenborn, S., Waterboer, T., Neale, R.E., van der Zwan-Kralt, P., de Graaf, Y.G.L, Vos, L.E., Uphoff-Meijerink, E.J., Willemze, R., Struijk, L., Wanningen, P., van der Meijden, P.Z., Plasmeijer, E.I., Wolterbeek, R., Euvrard, S., Butnaru, A.C., Claudy, A., Kanitakis, J., Nindl, I., Stockfleth, E., Forschner, T., Naldi, L., Pizzagalli, A., Sassi, F., Tessari, G., Harwood, C.A., Proby, C.M., Breuer, J., Mitchell, L., Purdie, K., Lambert, S.R., Ran, H., Wieland, U., Sehr, P., ter Schegget, J., Kleter, B., van Doorn, L.J., Sampogna, F., Mannooranparampil, T.J., Melo-Salcedo, N., Simoni, S., Petasecca Dontai, G.P., Masini, C., Deppermann, C., Olsen, C., Harrison, S., and Buttner, P. (2010) An analysis of clustering of betapapillomavirus antibodies. Journal of General Virology, 91 (8). pp. 2062-2067.

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Abstract

Betapapillomaviruses (βPVs) may contribute to the aetiology of cutaneous squamous cell carcinoma. However, no high-risk types have yet been identified, possibly because the high frequency of co-infection prevents a straightforward analysis of the independent effects of individual viruses. This study aimed to determine whether specific virus types were more likely to co-occur than others, thereby reducing the number of parameters needed in statistical models. Antibody data were analysed from controls who participated in case–control studies in The Netherlands, Italy and Australia and from participants in the German Nutrition Survey. Cluster analysis and two ordination techniques were used to identify patterns. Evidence of clustering was found only according to the number of viruses to which antibodies were detected. The lack of clustering of specific viral types identified suggests that if there are βPV types that are independently related to skin carcinogenesis, they are unlikely to be identified using standard epidemiological methods.

Item ID: 17301
Item Type: Article (Refereed Research - C1)
ISSN: 1465-2099
Date Deposited: 31 May 2011 15:41
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1108 Medical Microbiology > 110804 Medical Virology @ 100%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920102 Cancer and Related Disorders @ 100%
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