Evidence map›Paper›PMID 31362936›Full record

ArticleGenome research2019

Identifying loci under positive selection in complex population histories.

Alba Refoyo-Martínez, Rute R da Fonseca, Katrín Halldórsdóttir, Einar Árnason, Thomas Mailund, Fernando Racimo

Abstract read
In one paragraph

Article in Genome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
  2. Leveraging graphical model techniques to study evolution on phylogenetic networks.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
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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.

Alba Refoyo-MartínezLundbeck GeoGenetics Centre, The Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 1350, Denmark.ORCID 0000-0002-3674-4007
Rute R da FonsecaCentre for Macroecology, Evolution and Climate, The Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copehnagen 2100, Denmark.ORCID 0000-0002-2805-4698
Katrín HalldórsdóttirFaculty of Life and Environmental Sciences, University of Iceland, Reykjavík 107, Iceland.ORCID 0000-0002-9682-0286
Einar ÁrnasonFaculty of Life and Environmental Sciences, University of Iceland, Reykjavík 107, Iceland.ORCID 0000-0003-3686-6407
Thomas MailundBioinformatics Research Centre, Aarhus University, Aarhus 8000, Denmark.ORCID 0000-0001-6206-9239
Fernando RacimoLundbeck GeoGenetics Centre, The Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 1350, Denmark.ORCID 0000-0002-5025-2607

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detailed modeling of a species' history is of prime importance for understanding how natural selection operates over time. Most methods designed to detect positive selection along sequenced genomes, however, use simplified representations of past histories as null models of genetic drift. Here, we present the first method that can detect signatures of strong local adaptation across the genome using arbitrarily complex admixture graphs, which are typically used to describe the history of past divergence and admixture events among any number of populations. The method-called graph-aware retrieval of selective sweeps (

Indexed as

AnimalsCattleEvolution, MolecularFishesGenetics, PopulationGenomicsHumansModels, GeneticSelection, GeneticWhole Genome Sequencing

Identifiers

PMID31362936
PMCPMC6724678

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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.