Evidence map›Paper›PMID 32555579›Full record

ArticlePLoS genetics2020

VolcanoFinder: Genomic scans for adaptive introgression.

Derek Setter, Sylvain Mousset, Xiaoheng Cheng, Rasmus Nielsen, Michael DeGiorgio, Joachim Hermisson

Abstract read
In one paragraph

Article in PLoS genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

  1. Review
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  14. Article
  15. Digital Image Processing to Detect Adaptive Evolution.Molecular biology and evolution · 2024
    Article
  16. Computational Genomics and Its Applications to Anthropological Questions.American journal of biological anthropology · 2024
    Review
  17. Review
  18. Article
  19. Review
  20. Article

2 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.

Derek SetterDepartment of Mathematics, University of Vienna, Vienna, Austria.ORCID 0000-0002-7101-443X
Sylvain MoussetDepartment of Mathematics, University of Vienna, Vienna, Austria.
Xiaoheng ChengHuck Institutes of the Life Sciences, Pennsylvania State University, University Park, Pennsylvania, United States of America.ORCID 0000-0003-4967-8907
Rasmus NielsenDepartments of Integrative Biology and Statistics, University of California, Berkeley, Berkeley, California, USA.
Michael DeGiorgioDepartment of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, Florida, USA.ORCID 0000-0003-4908-7234
Joachim HermissonDepartment of Mathematics, University of Vienna, Vienna, Austria.ORCID 0000-0001-7476-9283

Funding

Identifying complex modes of adaptation from population-genomic dataR35GM128590 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI Michael DeGiorgio · 2018 to 2026
$2.8M
Austrian Science Fund FWF W 1225NIGMS NIH HHS R35 GM128590
6 · The paper itself

Abstract

Recent research shows that introgression between closely-related species is an important source of adaptive alleles for a wide range of taxa. Typically, detection of adaptive introgression from genomic data relies on comparative analyses that require sequence data from both the recipient and the donor species. However, in many cases, the donor is unknown or the data is not currently available. Here, we introduce a genome-scan method-VolcanoFinder-to detect recent events of adaptive introgression using polymorphism data from the recipient species only. VolcanoFinder detects adaptive introgression sweeps from the pattern of excess intermediate-frequency polymorphism they produce in the flanking region of the genome, a pattern which appears as a volcano-shape in pairwise genetic diversity. Using coalescent theory, we derive analytical predictions for these patterns. Based on these results, we develop a composite-likelihood test to detect signatures of adaptive introgression relative to the genomic background. Simulation results show that VolcanoFinder has high statistical power to detect these signatures, even for older sweeps and for soft sweeps initiated by multiple migrant haplotypes. Finally, we implement VolcanoFinder to detect archaic introgression in European and sub-Saharan African human populations, and uncovered interesting candidates in both populations, such as TSHR in Europeans and TCHH-RPTN in Africans. We discuss their biological implications and provide guidelines for identifying and circumventing artifactual signals during empirical applications of VolcanoFinder.

Indexed as

Genetic IntrogressionModels, GeneticPolymorphism, GeneticAfrica South of the SaharaAllelesAntigensBlack PeopleComputer SimulationEuropeEvolution, MolecularGenetics, PopulationGenome, HumanHaplotypesHumansIntermediate Filament ProteinsReceptors, ThyrotropinAntigensIntermediate Filament ProteinsReceptors, ThyrotropinRPTN protein, humanS100 ProteinsTCHH protein, humanTSHR protein, human

Identifiers

PMID32555579
PMCPMC7326285

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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.