Evidence map›Paper›PMID 26163668›Full record

ArticleMolecular biology and evolution2015

Evaluating the Adequacy of Molecular Clock Models Using Posterior Predictive Simulations.

David A Duchêne, Sebastian Duchêne, Edward C Holmes, Simon Y W Ho

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Review
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  12. Impact of the tree prior on estimating clock rates during epidemic outbreaks.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  13. Article
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  15. Article
  16. Advances in Time Estimation Methods for Molecular Data.Molecular biology and evolution · 2016
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

David A DuchêneResearch School of Biology, Australian National University, Canberra, ACT, Australia david.duchene@anu.edu.au.
Sebastian DuchêneSchool of Biological Sciences, University of Sydney, Sydney, NSW, Australia Marie Bashir Institute for Infectious Diseases and Biosecurity, Charles Perkins Centre, Sydney Medical School, University of Sydney, Sydney, NSW, Australia.
Edward C HolmesSchool of Biological Sciences, University of Sydney, Sydney, NSW, Australia Marie Bashir Institute for Infectious Diseases and Biosecurity, Charles Perkins Centre, Sydney Medical School, University of Sydney, Sydney, NSW, Australia.
Simon Y W HoSchool of Biological Sciences, University of Sydney, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular clock models are commonly used to estimate evolutionary rates and timescales from nucleotide sequences. The goal of these models is to account for rate variation among lineages, such that they are assumed to be adequate descriptions of the processes that generated the data. A common approach for selecting a clock model for a data set of interest is to examine a set of candidates and to select the model that provides the best statistical fit. However, this can lead to unreliable estimates if all the candidate models are actually inadequate. For this reason, a method of evaluating absolute model performance is critical. We describe a method that uses posterior predictive simulations to assess the adequacy of clock models. We test the power of this approach using simulated data and find that the method is sensitive to bias in the estimates of branch lengths, which tends to occur when using underparameterized clock models. We also compare the performance of the multinomial test statistic, originally developed to assess the adequacy of substitution models, but find that it has low power in identifying the adequacy of clock models. We illustrate the performance of our method using empirical data sets from coronaviruses, simian immunodeficiency virus, killer whales, and marine turtles. Our results indicate that methods of investigating model adequacy, including the one proposed here, should be routinely used in combination with traditional model selection in evolutionary studies. This will reveal whether a broader range of clock models to be considered in phylogenetic analysis.

Indexed as

Models, GeneticMutation RateAnimalsBayes TheoremBiological EvolutionComputer SimulationCoronavirusEvolution, MolecularGenome, MitochondrialModels, MolecularPhylogenyReproducibility of ResultsSimian Immunodeficiency VirusWhale, KillerBayesian phylogeneticsevolutionary ratesmodel adequacymodel selectionmolecular clockposterior predictive simulations

Identifiers

PMID26163668
PMCPMC7107558

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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.