Abstract
Human immunodeficiency virus (HIV-1) can rapidly evolve due to selection pressures exerted by HIV-specific immune responses, antiviral agents, and to allow the virus to establish infection in different compartments in the body. Statistical models applied to HIV-1 sequence data can help to elucidate the nature of these selection pressures through comparisons of non-synonymous (or amino acid changing) and synonymous (or amino acid preserving) substitution rates. These models also need to take into account the non-independence of sequences due to their shared evolutionary history. We review how we have developed these methods and have applied them to characterize the evolution of HIV-1 in vivo. To illustrate our methods, we present an analysis of compartment-specific evolution of HIV-1 em) in blood and cerebrospinal fluid and of site-to-site variation in the gag gene of subtype C HIV-1. Copyright (C) 2008 John Wiley & Sons, Ltd.
Original language | English |
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Pages (from-to) | 4779-4789 |
Number of pages | 11 |
Journal | STATISTICS IN MEDICINE |
Volume | 27 |
Issue number | 23, SI |
Publication status | Published - 2008 |