Evidence map›Paper›PMID 25246699›Full record

ArticleMolecular biology and evolution2015

Evaluating the use of ABBA-BABA statistics to locate introgressed loci.

Simon H Martin, John W Davey, Chris D Jiggins

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 363 papers.

0numbers the graph read from it
0cells of the map it votes in
363citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

363 citing papers in PubMed.

  1. Genetics and genomics of hybridization.Nature reviews. Genetics · 2026
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  11. Mitogenomics inMicrobial genomics · 2026
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  13. Genomic reconstruction of upland cotton domestication uncovers staged selection, gene flow, and flowering-time adaptation.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  19. Evolution of genome-wide barriers to gene flow during complex speciation in rattlesnakes.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  20. Article

303 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Simon H MartinDepartment of Zoology, University of Cambridge, Cambridge, United Kingdom shm45@cam.ac.uk.
John W DaveyDepartment of Zoology, University of Cambridge, Cambridge, United Kingdom.
Chris D JigginsDepartment of Zoology, University of Cambridge, Cambridge, United Kingdom.

Funding

Biotechnology and Biological Sciences Research Council BB/H01439X/1
6 · The paper itself

Abstract

Several methods have been proposed to test for introgression across genomes. One method tests for a genome-wide excess of shared derived alleles between taxa using Patterson's D statistic, but does not establish which loci show such an excess or whether the excess is due to introgression or ancestral population structure. Several recent studies have extended the use of D by applying the statistic to small genomic regions, rather than genome-wide. Here, we use simulations and whole-genome data from Heliconius butterflies to investigate the behavior of D in small genomic regions. We find that D is unreliable in this situation as it gives inflated values when effective population size is low, causing D outliers to cluster in genomic regions of reduced diversity. As an alternative, we propose a related statistic ƒ(d), a modified version of a statistic originally developed to estimate the genome-wide fraction of admixture. ƒ(d) is not subject to the same biases as D, and is better at identifying introgressed loci. Finally, we show that both D and ƒ(d) outliers tend to cluster in regions of low absolute divergence (d(XY)), which can confound a recently proposed test for differentiating introgression from shared ancestral variation at individual loci.

Indexed as

Computer SimulationGenome, InsectAlgorithmsAnimalsButterfliesEvolution, MolecularGene FlowModels, StatisticalABBA–BABAgene flowHeliconiusintrogressionpopulation structuresimulation

Identifiers

PMID25246699
PMCPMC4271521

What OpenQuestion holds

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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.