Correlating viral phenotypes with phylogeny: Accounting for phylogenetic uncertainty
Correlating viral phenotypes with phylogeny: Accounting for phylogenetic uncertainty
Many recent studies have sought to quantify the degree to which viral phenotypic characters (such as epidemiological risk group, geographic location, cell tropism, drug resistance state, etc.) are correlated with shared ancestry, as represented by a viral phylogenetic tree. Here, we present a new Bayesian Markov-Chain Monte Carlo approach to the investigation of such phylogeny–trait correlations. This method accounts for uncertainty arising from phylogenetic error and provides a statistical significance test of the null hypothesis that traits are associated randomly with phylogeny tips. We perform extensive simulations to explore and compare the behaviour of three statistics of phylogeny–trait correlation. Finally, we re-analyse two existing published data sets as case studies. Our framework aims to provide an improvement over existing methods for this problem.
239-246
Parker, Joe
979fbb42-5897-4fbe-a32e-06793f9f99ed
Rambaut, Andrew
2b7f87ef-95c8-4069-a3db-bca4b38271ec
Pybus, Oliver G.
5fa128e1-8eb8-4d38-b925-1d7869a07f99
May 2008
Parker, Joe
979fbb42-5897-4fbe-a32e-06793f9f99ed
Rambaut, Andrew
2b7f87ef-95c8-4069-a3db-bca4b38271ec
Pybus, Oliver G.
5fa128e1-8eb8-4d38-b925-1d7869a07f99
Parker, Joe, Rambaut, Andrew and Pybus, Oliver G.
(2008)
Correlating viral phenotypes with phylogeny: Accounting for phylogenetic uncertainty.
Infection, Genetics and Evolution, 8 (3), .
(doi:10.1016/j.meegid.2007.08.001).
Abstract
Many recent studies have sought to quantify the degree to which viral phenotypic characters (such as epidemiological risk group, geographic location, cell tropism, drug resistance state, etc.) are correlated with shared ancestry, as represented by a viral phylogenetic tree. Here, we present a new Bayesian Markov-Chain Monte Carlo approach to the investigation of such phylogeny–trait correlations. This method accounts for uncertainty arising from phylogenetic error and provides a statistical significance test of the null hypothesis that traits are associated randomly with phylogeny tips. We perform extensive simulations to explore and compare the behaviour of three statistics of phylogeny–trait correlation. Finally, we re-analyse two existing published data sets as case studies. Our framework aims to provide an improvement over existing methods for this problem.
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Published date: May 2008
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Local EPrints ID: 480460
URI: http://eprints.soton.ac.uk/id/eprint/480460
ISSN: 1567-1348
PURE UUID: f3524d9f-f698-4aef-a740-56ed3a530f28
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Date deposited: 02 Aug 2023 17:07
Last modified: 18 Mar 2024 03:50
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Author:
Andrew Rambaut
Author:
Oliver G. Pybus
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