Inferring evolutionary rates using serially sampled sequences from several populations.

Journal Article

The estimation of evolutionary rates from serially sampled sequences has recently been the focus of several studies. In this paper, we extend these analyzes to allow the estimation of a joint rate of substitution, omega, from several evolving populations from which serial samples are drawn. In the case of viruses evolving in different hosts, therapy may halt replication and therefore the accumulation of substitutions in the population. In such cases, it may be that only a proportion, p, of subjects are nonresponders who have viral populations that continue to evolve. We develop two likelihood-based procedures to jointly estimate p and omega, and empirical Bayes' tests of whether an individual should be classified as a responder or nonresponder. An example data set comprising HIV-1 partial envelope sequences from six patients on highly active antiretroviral therapy is analyzed.

Full Text

Duke Authors

Cited Authors

  • Rodrigo, AG; Goode, M; Forsberg, R; Ross, HA; Drummond, A

Published Date

  • December 2003

Published In

Volume / Issue

  • 20 / 12

Start / End Page

  • 2010 - 2018

PubMed ID

  • 12949147

International Standard Serial Number (ISSN)

  • 0737-4038

Digital Object Identifier (DOI)

  • 10.1093/molbev/msg215

Language

  • eng

Conference Location

  • United States