Evidence map›Paper›PMID 29284924›Full record

ArticleMolecular ecology2010

In defence of model-based inference in phylogeography.

Mark A Beaumont, Rasmus Nielsen, Christian Robert, Jody Hey, Oscar Gaggiotti, Lacey Knowles, Arnaud Estoup, Mahesh Panchal, Jukka Corander, Mike Hickerson and 12 more

Abstract read
In one paragraph

Article in Molecular ecology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

32 citing papers in PubMed.

  1. Review
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  8. Phylogeographic model selection leads to insight into the evolutionary history of four-eyed frogs.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  9. Article
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  11. Article
  12. Review
  13. Article
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  18. Article
  19. Approximate Bayesian computation.PLoS computational biology · 2013
    Article
  20. 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

22 authors.

Mark A BeaumontSchool of Animal and Microbial Sciences, University of Reading, Whiteknights, PO Box 228, Reading, RG6 6AJ, UK.
Rasmus NielsenIntegrative Biology, UC Berkeley, 3060 Valley Life Sciences Bldg #3140, Berkeley, CA 94720-3140, USA.
Christian RobertCEREMADE, Université Paris Dauphine, Paris, France.
Jody HeyDepartment of Genetics, Rutgers University, 604 Allison Road, Piscataway, NJ 08854, USA.
Oscar GaggiottiLaboratoire d'Ecologie Alpine, UMR CNRS 5553, Université Joseph Fourier, BP 53, 38041 GRENOBLE, France.
Lacey KnowlesDepartment of Ecology and Evolutionary Biology, Museum of Zoology, University of Michigan, Ann Arbor, MI 48109-1079, USA.
Arnaud EstoupINRA UMR Centre de Biologie et de Gestion des Populations (INRA ⁄ IRD ⁄ Cirad ⁄ Montpellier SupAgro), Campus international de Baillarguet, Montferrier-sur-Lez, France.
Mahesh PanchalMax Planck Institute for Evolutionary Biology, August-Thienemann-Str. 2, 24306 Plön, Germany.
Jukka CoranderDepartment of Mathematics and statistics, University of Helsinki, Finland.
Mike HickersonBiology Department, Queens College, City University of New York, 65-30 Kissena Boulevard, Flushing, NY 11367-1597, USA.
Scott A SissonSchool of Mathematics and Statistics, University of New South Wales, Sydney, Australia.
Nelson FagundesDepartamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Lounès ChikhiUniversité Paul Sabatier-UMR EDB 5174 118, 31062 Toulouse Cedex 09, France.
Peter BeerliDepartment of Scientific Computing, Florida State University, Tallahassee, FL 32306, USA.
Renaud VitalisCNRS-INRA, CBGP, Campus International de Baillarguet, CS 30016, 34988 Montferrier-sur-Lez, France.
Jean-Marie CornuetINRA UMR Centre de Biologie et de Gestion des Populations (INRA ⁄ IRD ⁄ Cirad ⁄ Montpellier SupAgro), Campus international de Baillarguet, Montferrier-sur-Lez, France.
John HuelsenbeckIntegrative Biology, UC Berkeley, 3060 Valley Life Sciences Bldg #3140, Berkeley, CA 94720-3140, USA.
Matthieu FollCMPG, Institute of Ecology and Evolution, University of Berne, 3012 Berne, Switzerland.
Ziheng YangDepartment of Biology, University College London, Gower Street, London WC1E 6BT, UK.
Francois RoussetInstitut des Sciences de l'Évolution, Universté Montpellier 2, CNRS, Place Eugène Bataillon, CC065, Montpellier, Cedex 5, France.
David BaldingInstitute of Genetics, University College London, 2nd Floor, Kathleen Lonsdale Building, 5 Gower Place, London WC1E 6BT, UK.
Laurent ExcoffierCMPG, Institute of Ecology and Evolution, University of Berne, 3012 Berne, Switzerland.

Funding

The Population Genetics of DivergenceR01GM078204 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI HEY, EMANUEL · 2007 to 2016
$1.7M
NIGMS NIH HHS R01 GM078204
6 · The paper itself

Abstract

Recent papers have promoted the view that model-based methods in general, and those based on Approximate Bayesian Computation (ABC) in particular, are flawed in a number of ways, and are therefore inappropriate for the analysis of phylogeographic data. These papers further argue that Nested Clade Phylogeographic Analysis (NCPA) offers the best approach in statistical phylogeography. In order to remove the confusion and misconceptions introduced by these papers, we justify and explain the reasoning behind model-based inference. We argue that ABC is a statistically valid approach, alongside other computational statistical techniques that have been successfully used to infer parameters and compare models in population genetics. We also examine the NCPA method and highlight numerous deficiencies, either when used with single or multiple loci. We further show that the ages of clades are carelessly used to infer ages of demographic events, that these ages are estimated under a simple model of panmixia and population stationarity but are then used under different and unspecified models to test hypotheses, a usage the invalidates these testing procedures. We conclude by encouraging researchers to study and use model-based inference in population genetics.

Indexed as

molecular evolutionphylogeographypopulation genetics-empiricalpopulation genetics-theoretical

Identifiers

PMID29284924
PMCPMC5743441

What OpenQuestion holds

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Registered trials

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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.