Evidence map›Paper›PMID 30137463›Full record

ArticleMolecular biology and evolution2018

Phylogeny Estimation by Integration over Isolation with Migration Models.

Jody Hey, Yujin Chung, Arun Sethuraman, Joseph Lachance, Sarah Tishkoff, Vitor C Sousa, Yong Wang

Abstract readEvaluation Study
In one paragraph

Article in Molecular biology and evolution, 2018. 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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  3. CoalMiner: a coalescent model generator forbioRxiv : the preprint server for biology · 2026
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  5. Methods to estimate marine functional connectivity: A primer.Ecological applications : a publication of the Ecological Society of America · 2026
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  11. Article
  12. Article
  13. Genetic Structure ofEcology and evolution · 2025
    Article
  14. Phylogenetic networks empower biodiversity research.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  15. The power of coalescent methods for inferring recent and ancient gene flow in endangered Bactrian camels.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Article
  17. Article
  18. 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

7 authors.

Jody HeyDepartment of Biology, Center for Computational Genetics and Genomics, Temple University, Philadelphia, PA.
Yujin ChungDepartment of Biology, Center for Computational Genetics and Genomics, Temple University, Philadelphia, PA.
Arun SethuramanDepartment of Biology, Center for Computational Genetics and Genomics, Temple University, Philadelphia, PA.
Joseph LachanceDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Sarah TishkoffDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Vitor C SousaDepartment of Genetics, Rutgers, the State University of New Jersey, Piscataway, NJ.
Yong WangDepartment of Genetics, Rutgers, the State University of New Jersey, Piscataway, NJ.

Funding

Integrative Genomics of Body Size and Metabolism in Ethnically Diverse AfricansR01GM113657 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI TISHKOFF, SARAH ANNE · 2015 to 2019
$2.8M
The Population Genetics of DivergenceR01GM078204 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI HEY, EMANUEL · 2007 to 2016
$1.7M
Integrative nutrigenomic and metabolomic analyses of Africans with variable dietsR01DK104339 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI TISHKOFF, SARAH ANNE · 2015 to 2018
$1.4M
Computer Cluster for Computational Biology and BiophysicsS10OD020095 · OD · TEMPLE UNIV OF THE COMMONWEALTH · PI LEVY, RONALD · 2015 to 2015
$442k
Population Genomics of Geographically and Ethnically Diverse AfricansF32HG006648 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI LACHANCE, JOSEPH L. · 2012 to 2014
$154k
NHGRI NIH HHS F32 HG006648NIDDK NIH HHS R01 DK104339NIGMS NIH HHS R01 GM078204NIGMS NIH HHS R01 GM113657NIH HHS S10 OD020095
6 · The paper itself

Abstract

Phylogeny estimation is difficult for closely related populations and species, especially if they have been exchanging genes. We present a hierarchical Bayesian, Markov-chain Monte Carlo method with a state space that includes all possible phylogenies in a full Isolation-with-Migration model framework. The method is based on a new type of genealogy augmentation called a "hidden genealogy" that enables efficient updating of the phylogeny. This is the first likelihood-based method to fully incorporate directional gene flow and genetic drift for estimation of a species or population phylogeny. Application to human hunter-gatherer populations from Africa revealed a clear phylogenetic history, with strong support for gene exchange with an unsampled ghost population, and relatively ancient divergence between a ghost population and modern human populations, consistent with human/archaic divergence. In contrast, a study of five chimpanzee populations reveals a clear phylogeny with several pairs of populations having exchanged DNA, but does not support a history with an unsampled ghost population.

Indexed as

Gene FlowGenetic TechniquesPhylogenyAnimalsBayes TheoremGenetic DriftHuman MigrationHumansMonte Carlo MethodPan troglodytes

Identifiers

PMID30137463
PMCPMC6231491

What OpenQuestion holds

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LicenceCC BY-NC
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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.