Evidence map›Paper›PMID 26771578›Full record

ArticlePLoS genetics2016

A Spatial Framework for Understanding Population Structure and Admixture.

Gideon S Bradburd, Peter L Ralph, Graham M Coop

Abstract read
In one paragraph

Article in PLoS genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
–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

46 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Estimating human mobility in Holocene Western Eurasia with large-scale ancient genomic data.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Pooled it
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  5. 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
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  8. Article
  9. Article
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  11. Article
  12. Article
  13. Article
  14. Article
  15. Genetic characterization of cashmere goat (Frontiers in genetics · 2024
    Article
  16. Article
  17. Evolutionary history ofAoB PLANTS · 2023
    Article
  18. Article
  19. 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

3 authors.

Gideon S BradburdCenter for Population Biology, Department of Evolution and Ecology, University of California, Davis, California, United States of America.
Peter L RalphDepartment of Molecular and Computational Biology, University of Southern California, Los Angeles, California, United States of America.
Graham M CoopCenter for Population Biology, Department of Evolution and Ecology, University of California, Davis, California, United States of America.

Funding

Recombination rate variation and evolution in vertebratesR01GM083098 · NIGMS · UNIVERSITY OF CHICAGO · PI PRZEWORSKI, MOLLY F · 2007 to 2024
$4.6M
Genome-wide approaches to polygenic adaptationR01GM108779 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI COOP, GRAHAM · 2014 to 2019
$1.0M
NIGMS NIH HHS R01 GM083098NIGMS NIH HHS R01GM107374NIGMS NIH HHS R01 GM108779NIGMS NIH HHS R01GM83098
6 · The paper itself

Abstract

Geographic patterns of genetic variation within modern populations, produced by complex histories of migration, can be difficult to infer and visually summarize. A general consequence of geographically limited dispersal is that samples from nearby locations tend to be more closely related than samples from distant locations, and so genetic covariance often recapitulates geographic proximity. We use genome-wide polymorphism data to build "geogenetic maps," which, when applied to stationary populations, produces a map of the geographic positions of the populations, but with distances distorted to reflect historical rates of gene flow. In the underlying model, allele frequency covariance is a decreasing function of geogenetic distance, and nonlocal gene flow such as admixture can be identified as anomalously strong covariance over long distances. This admixture is explicitly co-estimated and depicted as arrows, from the source of admixture to the recipient, on the geogenetic map. We demonstrate the utility of this method on a circum-Tibetan sampling of the greenish warbler (Phylloscopus trochiloides), in which we find evidence for gene flow between the adjacent, terminal populations of the ring species. We also analyze a global sampling of human populations, for which we largely recover the geography of the sampling, with support for significant histories of admixture in many samples. This new tool for understanding and visualizing patterns of population structure is implemented in a Bayesian framework in the program SpaceMix.

Indexed as

Gene FrequencyGenetics, PopulationBayes TheoremGene FlowGeographyHumans

Identifiers

PMID26771578
PMCPMC4714911

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.