Evidence map›Paper›PMID 36780565›Full record

ArticlePLoS genetics2023

Bayesian inference of admixture graphs on Native American and Arctic populations.

Svend V Nielsen, Andrew H Vaughn, Kalle Leppälä, Michael J Landis, Thomas Mailund, Rasmus Nielsen

Abstract read
In one paragraph

Article in PLoS genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
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  7. Genomic Insights Into Host Shifts BetweenEvolutionary applications · 2026
    Article
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  15. Leveraging graphical model techniques to study evolution on phylogenetic networks.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. European farmhouse brewing yeasts form a distinct genetic group.Applied microbiology and biotechnology · 2024
    Article
  20. Article
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.

Svend V NielsenBioinformatics Research Centre, Aarhus University, Aarhus, Denmark.
Andrew H VaughnCenter for Computational Biology, University of California Berkeley, Berkeley, California, United States of America.ORCID 0000-0003-3113-2981
Kalle LeppäläBioinformatics Research Centre, Aarhus University, Aarhus, Denmark.
Michael J LandisDepartment of Biology, Washington University in St. Louis, St. Louis, Missouri, United States of America.
Thomas MailundBioinformatics Research Centre, Aarhus University, Aarhus, Denmark.
Rasmus NielsenDepartments of Integrative Biology and Statistics, University of California Berkeley, Berkeley, California, United States of America.

Funding

Enabling Precision Genomics Using Adaptive VariationR01GM138634 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI NIELSEN, RASMUS · 2020 to 2023
$1.7M
NIGMS NIH HHS R01 GM138634
6 · The paper itself

Abstract

Admixture graphs are mathematical structures that describe the ancestry of populations in terms of divergence and merging (admixing) of ancestral populations as a graph. An admixture graph consists of a graph topology, branch lengths, and admixture proportions. The branch lengths and admixture proportions can be estimated using numerous numerical optimization methods, but inferring the topology involves a combinatorial search for which no polynomial algorithm is known. In this paper, we present a reversible jump MCMC algorithm for sampling high-probability admixture graphs and show that this approach works well both as a heuristic search for a single best-fitting graph and for summarizing shared features extracted from posterior samples of graphs. We apply the method to 11 Native American and Siberian populations and exploit the shared structure of high-probability graphs to characterize the relationship between Saqqaq, Inuit, Koryaks, and Athabascans. Our analyses show that the Saqqaq is not a good proxy for the previously identified gene flow from Arctic people into the Na-Dene speaking Athabascans.

Indexed as

American Indian or Alaska NativeGenetics, PopulationBayes TheoremGene FlowHumans

Identifiers

PMID36780565
PMCPMC9956672

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.