Imperial College London

DrErikVolz

Faculty of MedicineSchool of Public Health

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 1933e.volz Website

 
 
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Location

 

UG10Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Volz:2014:10.1098/rsif.2014.0945,
author = {Volz, EM and Frost, SDW},
doi = {10.1098/rsif.2014.0945},
journal = {Journal of the Royal Society Interface},
title = {Sampling through time and phylodynamic inference with coalescent and birth-death models},
url = {http://dx.doi.org/10.1098/rsif.2014.0945},
volume = {11},
year = {2014}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Many population genetic models have been developed for the purpose of inferring population size and growth rates from random samples of genetic data. We examine two popular approaches to this problem, the coalescent and the birth–death-sampling model (BDM), in the context of estimating population size and birth rates in a population growing exponentially according to the birth–death branching process. For sequences sampled at a single time, we found the coalescent and the BDM gave virtually indistinguishable results in terms of the growth rates and fraction of the population sampled, even when sampling from a small population. For sequences sampled at multiple time points, we find that the birth–death model estimators are subject to large bias if the sampling process is misspecified. Since BDMs incorporate a model of the sampling process, we show how much of the statistical power of BDMs arises from the sequence of sample times and not from the genealogical tree. This motivates the development of a new coalescent estimator, which is augmented with a model of the known sampling process and is potentially more precise than the coalescent that does not use sample time information.
AU - Volz,EM
AU - Frost,SDW
DO - 10.1098/rsif.2014.0945
PY - 2014///
SN - 1742-5689
TI - Sampling through time and phylodynamic inference with coalescent and birth-death models
T2 - Journal of the Royal Society Interface
UR - http://dx.doi.org/10.1098/rsif.2014.0945
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000362679500004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/43188
VL - 11
ER -