Evidence map›Paper›PMID 30030601›Full record

ArticleJournal of mathematical biology2019

Coalescence times for three genes provide sufficient information to distinguish population structure from population size changes.

Simona Grusea, Willy Rodríguez, Didier Pinchon, Lounès Chikhi, Simon Boitard, Olivier Mazet

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In one paragraph

Article in Journal of mathematical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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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.

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Simona GruseaInstitut de Mathématiques de Toulouse, Université de Toulouse, Institut National des Sciences Appliquées, 31077, Toulouse, France. grusea@insa-toulouse.fr.ORCID 0000-0003-0391-1080
Willy RodríguezInstitut de Mathématiques de Toulouse, Université de Toulouse, Institut National des Sciences Appliquées, 31077, Toulouse, France.
Didier PinchonInstitut de Mathématiques de Toulouse, Université de Toulouse, Institut National des Sciences Appliquées, 31077, Toulouse, France.
Lounès ChikhiLaboratoire Évolution et Diversité Biologique (EDB UMR 5174), Université de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, 118 route de Narbonne, Bât. 4R1, 31062, Toulouse Cedex 9, France.
Simon BoitardGenPhySE, Université de Toulouse, INRA, INPT, INP-ENVT, Castanet Tolosan, France.
Olivier MazetInstitut de Mathématiques de Toulouse, Université de Toulouse, Institut National des Sciences Appliquées, 31077, Toulouse, France.

Funding

Agence Nationale de la Recherche ANR-16-EBI3-0014Fundaço para a Ciência e a Tecnologia Biodiversa/0003/2015Labex ANR-10-LABX-41PT-DLR 01LC1617A
6 · The paper itself

Abstract

The increasing amount of genomic data currently available is expanding the horizons of population genetics inference. A wide range of methods have been published allowing to detect and date major changes in population size during the history of species. At the same time, there has been an increasing recognition that population structure can generate genetic data similar to those generated under models of population size change. Recently, Mazet et al. (Heredity 116(4):362-371, 2016) introduced the idea that, for any model of population structure, it is always possible to find a panmictic model with a particular function of population size-change having an identical distribution of [Formula: see text] (the time of the first coalescence for a sample of size two). This implies that there is an identifiability problem between a panmictic and a structured model when we base our analysis only on [Formula: see text]. In this paper, based on an analytical study of the rate matrix of the ancestral lineage process, we obtain new theoretical results about the joint distribution of the coalescence times [Formula: see text] for a sample of three haploid genes in a n-island model with constant size. Even if, for any [Formula: see text], it is always possible to find a size-change scenario for a panmictic population such that the marginal distribution of [Formula: see text] is exactly the same as in a n-island model with constant population size, we show that the joint distribution of the coalescence times [Formula: see text] for a sample of three genes contains enough information to distinguish between a panmictic population and a n-island model of constant size.

Indexed as

Genetics, PopulationModels, GeneticAnimalsComputational BiologyComputer SimulationHaploidyHumansMathematical ConceptsPopulation DensityPopulation DynamicsTime FactorsDemographic historyInverse instantaneous coalescence rate (IICR)Population size changePopulation structureRate matrixStructured coalescent

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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.