Evidence map›Paper›PMID 32105322›Full record

ArticleSystematic biology2020

A Multitype Birth-Death Model for Bayesian Inference of Lineage-Specific Birth and Death Rates.

Joëlle Barido-Sottani, Timothy G Vaughan, Tanja Stadler

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Article in Systematic biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

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34citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  12. Bayesian phylodynamic inference of population dynamics with dormancy.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  13. Phylodynamics beyond neutrality: the impact of incomplete purifying selection on viral phylogenies and inference.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
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  14. Bayesian phylodynamic inference of population dynamics with dormancy.bioRxiv : the preprint server for biology · 2025
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Joëlle Barido-SottaniDepartment of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.
Timothy G VaughanDepartment of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.
Tanja StadlerDepartment of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heterogeneous populations can lead to important differences in birth and death rates across a phylogeny. Taking this heterogeneity into account is necessary to obtain accurate estimates of the underlying population dynamics. We present a new multitype birth-death model (MTBD) that can estimate lineage-specific birth and death rates. This corresponds to estimating lineage-dependent speciation and extinction rates for species phylogenies, and lineage-dependent transmission and recovery rates for pathogen transmission trees. In contrast with previous models, we do not presume to know the trait driving the rate differences, nor do we prohibit the same rates from appearing in different parts of the phylogeny. Using simulated data sets, we show that the MTBD model can reliably infer the presence of multiple evolutionary regimes, their positions in the tree, and the birth and death rates associated with each. We also present a reanalysis of two empirical data sets and compare the results obtained by MTBD and by the existing software BAMM. We compare two implementations of the model, one exact and one approximate (assuming that no rate changes occur in the extinct parts of the tree), and show that the approximation only slightly affects results. The MTBD model is implemented as a package in the Bayesian inference software BEAST 2 and allows joint inference of the phylogeny and the model parameters.[Birth-death; lineage specific rates, multi-type model.].

Indexed as

Birth RateModels, BiologicalMortalityBayes TheoremClassificationComputer SimulationPhylogenySoftware

Identifiers

PMID32105322
PMCPMC7440751

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.