Evidence map›Paper›PMID 32150539›Full record

ArticlePLoS genetics2020

Tracking human population structure through time from whole genome sequences.

Ke Wang, Iain Mathieson, Jared O'Connell, Stephan Schiffels

Abstract read
In one paragraph

Article in PLoS genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing 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

74 citing papers in PubMed.

  1. Article
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  7. Pan-African model explainsbioRxiv : the preprint server for biology · 2026
    Article
  8. Genomic Insights Into Host Shifts BetweenEvolutionary applications · 2026
    Article
  9. Article
  10. Evaluating inbreeding and assessing the risk of outbreeding depression in genetic rescue using whole-genome sequence data.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  11. Review
  12. Review
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  15. Article
  16. Article
  17. 1206 genomes reveal origin and movement ofScience (New York, N.Y.) · 2025
    Article
  18. TheScience (New York, N.Y.) · 2025
    Article
  19. Article
  20. Article

14 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.

Ke WangDepartment of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena, Germany.
Iain MathiesonDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Jared O'Connell23andMe Inc., Mountain View, California, United States of America.ORCID 0000-0003-3427-0466
Stephan SchiffelsDepartment of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena, Germany.ORCID 0000-0002-1017-9150

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genetic diversity of humans, like many species, has been shaped by a complex pattern of population separations followed by isolation and subsequent admixture. This pattern, reaching at least as far back as the appearance of our species in the paleontological record, has left its traces in our genomes. Reconstructing a population's history from these traces is a challenging problem. Here we present a novel approach based on the Multiple Sequentially Markovian Coalescent (MSMC) to analyze the separation history between populations. Our approach, called MSMC-IM, uses an improved implementation of the MSMC (MSMC2) to estimate coalescence rates within and across pairs of populations, and then fits a continuous Isolation-Migration model to these rates to obtain a time-dependent estimate of gene flow. We show, using simulations, that our method can identify complex demographic scenarios involving post-split admixture or archaic introgression. We apply MSMC-IM to whole genome sequences from 15 worldwide populations, tracking the process of human genetic diversification. We detect traces of extremely deep ancestry between some African populations, with around 1% of ancestry dating to divergences older than a million years ago.

Indexed as

Black PeopleGene FlowGenetic VariationGenome, HumanHaplotypesHuman MigrationHumansModels, GeneticPopulation DensityWhole Genome Sequencing

Identifiers

PMID32150539
PMCPMC7082067

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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.