In defence of model-based inference in phylogeography
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In defence of model-based inference in phylogeography. / Beaumont, Mark A.; Nielsen, Rasmus; Robert, Christian; Hey, Jody; Gaggiotti, Oscar; Knowles, Lacey; Estoup, Arnaud; Panchal, Mahesh; Corander, Jukka; Hickerson, Mike; Sisson, Scott A.; Fagundes, Nelson; Chikhi, Lounès; Beerli, Peter; Vitalis, Renaud; Cornuet, Jean Marie; Huelsenbeck, John; Foll, Matthieu; Yang, Ziheng; Rousset, Francois; Balding, David; Excoffier, Laurent.
In: Molecular Ecology, Vol. 19, No. 3, 2010, p. 436-446.Research output: Contribution to journal › Review › Research › peer-review
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TY - JOUR
T1 - In defence of model-based inference in phylogeography
AU - Beaumont, Mark A.
AU - Nielsen, Rasmus
AU - Robert, Christian
AU - Hey, Jody
AU - Gaggiotti, Oscar
AU - Knowles, Lacey
AU - Estoup, Arnaud
AU - Panchal, Mahesh
AU - Corander, Jukka
AU - Hickerson, Mike
AU - Sisson, Scott A.
AU - Fagundes, Nelson
AU - Chikhi, Lounès
AU - Beerli, Peter
AU - Vitalis, Renaud
AU - Cornuet, Jean Marie
AU - Huelsenbeck, John
AU - Foll, Matthieu
AU - Yang, Ziheng
AU - Rousset, Francois
AU - Balding, David
AU - Excoffier, Laurent
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Molecular evolution
KW - Phylogeography
KW - Population genetics-empirical
KW - Population genetics-theoretical
U2 - 10.1111/j.1365-294X.2009.04515.x
DO - 10.1111/j.1365-294X.2009.04515.x
M3 - Review
AN - SCOPUS:74549201612
VL - 19
SP - 436
EP - 446
JO - Molecular Ecology
JF - Molecular Ecology
SN - 0962-1083
IS - 3
ER -
ID: 222644280