Evidence map›Paper›PMID 28495960›Full record

ArticleGenetics2017

Inferring the Joint Demographic History of Multiple Populations: Beyond the Diffusion Approximation.

Julien Jouganous, Will Long, Aaron P Ragsdale, Simon Gravel

Abstract read
In one paragraph

Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 144 papers.

0numbers the graph read from it
0cells of the map it votes in
144citing 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

144 citing papers in PubMed.

  1. Article
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  9. CoalMiner: a coalescent model generator forbioRxiv : the preprint server for biology · 2026
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  17. Neural posterior estimation for population genetics.bioRxiv : the preprint server for biology · 2026
    Article
  18. Article
  19. GENERAL MOMENT CLOSURE FOR THE NEUTRAL TWO-LOCUS WRIGHT-FISHER DYNAMICS.bioRxiv : the preprint server for biology · 2026
    Article
  20. Article

84 more citing papers are in PubMed but not listed here.

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.

Julien JouganousDepartment of Human Genetics and Genome Quebec Innovation Centre, McGill University, Montreal, QC H3A 0G1, Canada.
Will LongDepartment of Human Genetics and Genome Quebec Innovation Centre, McGill University, Montreal, QC H3A 0G1, Canada.
Aaron P RagsdaleDepartment of Human Genetics and Genome Quebec Innovation Centre, McGill University, Montreal, QC H3A 0G1, Canada.
Simon GravelDepartment of Human Genetics and Genome Quebec Innovation Centre, McGill University, Montreal, QC H3A 0G1, Canada simon.gravel@mcGill.ca.ORCID 0000-0002-9183-964X

Funding

CIHR MOP 136855
6 · The paper itself

Abstract

Understanding variation in allele frequencies across populations is a central goal of population genetics. Classical models for the distribution of allele frequencies, using forward simulation, coalescent theory, or the diffusion approximation, have been applied extensively for demographic inference, medical study design, and evolutionary studies. Here we propose a tractable model of ordinary differential equations for the evolution of allele frequencies that is closely related to the diffusion approximation but avoids many of its limitations and approximations. We show that the approach is typically faster, more numerically stable, and more easily generalizable than the state-of-the-art software implementation of the diffusion approximation. We present a number of applications to human sequence data, including demographic inference with a five-population joint frequency spectrum and a discussion of the robustness of the out-of-Africa model inference to the choice of modern population.

Indexed as

Gene FrequencyHuman MigrationModels, GeneticBlack PeopleHumansMutation RatePopulationdemographic inferencediffusion approximationjoint allele frequency spectrummoments equations

Identifiers

PMID28495960
PMCPMC5500150

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.