Por favor, use este identificador para citar o enlazar este Item:http://hdl.handle.net/20.500.12105/7740
Título
A Bayesian network approach to study host and viral genetic correlates of HIV-1 disease progression
Autor(es)
Snoek, Joke | Casado, Concepcion ISCIII | Colombo, Sara | Rauch, Andri | García, Soledad | Boix Martinez, Raquel ISCIII | Theys, Kristof | Khouri, Ricardo | Günthard, Huldrych F | Telenti, Amalio | Lopez-Galindez, Luis Cecilio ISCIII | Vandamme, Anne-Mieke
Fecha de publicación
2011
Cita
Retrovirology. 2011; 8(Suppl 2): P70.
Idioma
Inglés
Tipo de documento
conference poster
Resumen
HIV disease progression is very variable among infected patients. Using classical statistical methods based on a selected number of markers, Casado et al [1] identified a number of host and viral genetic correlates for the clinical definitions of HIV-1 disease progression: elite controllers, long term non progressors including viremic controllers and clinical non progressors, regular progressors and rapid progressors.
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DOI
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