A spatially varying two-sample recombinant coalescent, with applications to HIV escape response

Document Type

Conference Proceeding

Publication Date

1-1-2009

Abstract

Statistical evolutionary models provide an important mechanism for describing and understanding the escape response of a viral population under a particular therapy. We present a new hierarchical model that incorporates spatially varying mutation and recombination rates at the nucleotide level. It also maintains separate parameters for treatment and control groups, which allows us to estimate treatment effects explicitly. We use the model to investigate the sequence evolution of HIV populations exposed to a recently developed antisense gene therapy, as well as a more conventional drug therapy. The detection of biologically relevant and plausible signals in both therapy studies demonstrates the effectiveness of the method.

Identifier

84858760985 (Scopus)

ISBN

[9781605609492]

Publication Title

Advances in Neural Information Processing Systems 21 Proceedings of the 2008 Conference

First Page

193

Last Page

200

This document is currently not available here.

Share

COinS