Evidence map›Paper›PMID 37057893›Full record

ArticleeLife2023

On the limits of fitting complex models of population history to

Robert Maier, Pavel Flegontov, Olga Flegontova, Ulaş Işıldak, Piya Changmai, David Reich

Abstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 papers.

0numbers the graph read from it
0cells of the map it votes in
146citing 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

146 citing papers in PubMed.

  1. Genetics and genomics of hybridization.Nature reviews. Genetics · 2026
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  8. Reticulated adaptive radiation and phylogenomic diversity loss in the Hawaiian honeycreepers.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  19. Ancient DNA from shells reveals delayed genomic erosion and rapid immune adaptation in the critically endangered black abalone.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  20. Article

86 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

6 authors.

Robert Maier *Department of Human Evolutionary Biology, Harvard University, Cambridge, United States.ORCID 0000-0002-3044-090X
Pavel Flegontov *Department of Human Evolutionary Biology, Harvard University, Cambridge, United States.ORCID 0000-0001-9759-4981
Olga FlegontovaDepartment of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic.
Ulaş IşıldakDepartment of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic.ORCID 0000-0001-6497-6254
Piya ChangmaiDepartment of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic.
David ReichDepartment of Human Evolutionary Biology, Harvard University, Cambridge, United States.ORCID 0000-0002-7037-5292

Funding

Solving ascertainment bias in ancient DNA using Ultima Genomics sequencingR01HG012287 · NHGRI · HARVARD MEDICAL SCHOOL · PI REICH, DAVID E · 2021 to 2025
$2.7M
Population mixture in evolutionary and medical geneticsR01GM100233 · NIGMS · HARVARD MEDICAL SCHOOL · PI PATTERSON, NICK J, REICH, DAVID E · 2012 to 2019
$2.7M
Howard Hughes Medical InstituteNHGRI NIH HHS R01 HG012287NIGMS NIH HHS R01 GM100233NIH HHS GM100233NIH HHS HG012287
6 · The paper itself

Abstract

Our understanding of population history in deep time has been assisted by fitting admixture graphs (AGs) to data: models that specify the ordering of population splits and mixtures, which along with the amount of genetic drift and the proportions of mixture, is the only information needed to predict the patterns of allele frequency correlation among populations. The space of possible AGs relating populations is vast, and thus most published studies have identified fitting AGs through a manual process driven by prior hypotheses, leaving the majority of alternative models unexplored. Here, we develop a method for systematically searching the space of all AGs that can incorporate non-genetic information in the form of topology constraints. We implement this

Indexed as

Genetics, PopulationHominidaeAnimalsDogsGene FrequencyGenetic DriftHorsesHumansModels, GeneticSoftwareadmixture graphsdogsevolutionary biologyf-statisticsgeneticsgenomicshorseshumanhumanspopulation genetics

Identifiers

PMID37057893
PMCPMC10310323

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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.