Evidence map›Paper›PMID 34788444›Full record

ReviewGenetics2022

Phylogenomic approaches to detecting and characterizing introgression.

Mark S Hibbins, Matthew W Hahn

Erratum issuedAbstract readReview
In one paragraph

Review in Genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 118 papers.

0numbers the graph read from it
0cells of the map it votes in
118citing 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

118 citing papers in PubMed.

  1. Genetics and genomics of hybridization.Nature reviews. Genetics · 2026
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  9. Rapid floral syndrome convergence inbioRxiv : the preprint server for biology · 2026
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58 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Mark S HibbinsDepartment of Biology, Indiana University, Bloomington, IN 47405, USA.ORCID 0000-0002-4651-3704
Matthew W HahnDepartment of Biology, Indiana University, Bloomington, IN 47405, USA.ORCID 0000-0002-5731-8808

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phylogenomics has revealed the remarkable frequency with which introgression occurs across the tree of life. These discoveries have been enabled by the rapid growth of methods designed to detect and characterize introgression from whole-genome sequencing data. A large class of phylogenomic methods makes use of data across species to infer and characterize introgression based on expectations from the multispecies coalescent. These methods range from simple tests, such as the D-statistic, to model-based approaches for inferring phylogenetic networks. Here, we provide a detailed overview of the various signals that different modes of introgression are expected leave in the genome, and how current methods are designed to detect them. We discuss the strengths and pitfalls of these approaches and identify areas for future development, highlighting the different signals of introgression, and the power of each method to detect them. We conclude with a discussion of current challenges in inferring introgression and how they could potentially be addressed.

Indexed as

GenomePhylogenyWhole Genome Sequencinghybridizationintrogressionphylogenomic methodsphylogenomics

Identifiers

PMID34788444
PMCPMC9208645

What OpenQuestion holds

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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.