Evidence map›Paper›PMID 29234166›Full record

ArticleHeredity2018

The IICR (inverse instantaneous coalescence rate) as a summary of genomic diversity: insights into demographic inference and model choice.

Lounès Chikhi, Willy Rodríguez, Simona Grusea, Patrícia Santos, Simon Boitard, Olivier Mazet

Abstract read
In one paragraph

Article in Heredity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

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  9. A genomic test of sex-biased dispersal in white sharks.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  16. Inferring the demographic history of aye-ayes (bioRxiv : the preprint server for biology · 2024
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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

6 authors.

Lounès ChikhiCNRS, Université Paul Sabatier, ENFA, UMR 5174 EDB (Laboratoire Évolution & Diversité Biologique), Bât. 4R1, F-31062, Toulouse, France. lounes.chikhi@univ-tlse3.fr.
Willy RodríguezUniversité de Toulouse, Institut National des Sciences Appliquées, Institut de Mathématiques de Toulouse, F-31077, Toulouse, France.
Simona GruseaUniversité de Toulouse, Institut National des Sciences Appliquées, Institut de Mathématiques de Toulouse, F-31077, Toulouse, France.
Patrícia SantosInstituto Gulbenkian de Ciência, Rua da Quinta Grande, No. 6, P-2780-156, Oeiras, Portugal.
Simon BoitardGenPhySE, Université de Toulouse, INRA, INPT, INP-ENVT, Castanet Tolosan, France.
Olivier MazetUniversité de Toulouse, Institut National des Sciences Appliquées, Institut de Mathématiques de Toulouse, F-31077, Toulouse, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several inferential methods using genomic data have been proposed to quantify and date population size changes in the history of species. At the same time an increasing number of studies have shown that population structure can generate spurious signals of population size change. Recently, Mazet et al. (2016) introduced, for a sample size of two, a time-dependent parameter, which they called the IICR (inverse instantaneous coalescence rate). The IICR is equivalent to a population size in panmictic models, but not necessarily in structured models. It is characterised by a temporal trajectory that suggests population size changes, as a function of the sampling scheme, even when the total population size was constant. Here, we extend the work of Mazet et al. (2016) by (i) showing how the IICR can be computed for any demographic model of interest, under the coalescent, (ii) applying this approach to models of population structure (1D and 2D stepping stone, split models, two- and three-island asymmetric gene flow, continent-island models), (iii) stressing the importance of the sampling strategy in generating different histories, (iv) arguing that IICR plots can be seen as summaries of genomic information that can thus be used for model choice or model exclusion (v) applying this approach to the question of admixture between humans and Neanderthals. Altogether these results are potentially important given that the widely used PSMC (pairwise sequentially Markovian coalescent) method of Li and Durbin (2011) estimates the IICR of the sample, not necessarily the history of the populations.

Indexed as

AlgorithmsGenetic VariationModels, GeneticAnimalsGene FlowGenetics, PopulationGenomeHaploidyHumansPopulation DensityPopulation DynamicsTime Factors

Identifiers

PMID29234166
PMCPMC5837117

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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.