Evidence map›Paper›PMID 24922281›Full record

ArticlePLoS computational biology2014

An HMM-based comparative genomic framework for detecting introgression in eukaryotes.

Kevin J Liu, Jingxuan Dai, Kathy Truong, Ying Song, Michael H Kohn, Luay Nakhleh

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.6field-weighted citation impact, top 4% of its field
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

24 citing papers in PubMed, 58 citations in OpenAlex.

  1. Genetics and genomics of hybridization.Nature reviews. Genetics · 2026
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  11. Divergence-Based Introgression Polarization.Genome biology and evolution · 2020
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  17. Inferring Local Genealogies on Closely Related Genomes.Comparative genomics : RECOMB ... International Workshop, RCG ... : revised selected papers. RECOMB-CG (Conference) · 2017
    Article
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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 at 2 institutions in 2 countries.

Kevin J LiuDepartment of Computer Science, Rice University, Houston, Texas, United States of America; Department of Ecology and Evolutionary Biology, Rice University, Houston, Texas, United States of America.
Jingxuan DaiDepartment of Computer Science, Rice University, Houston, Texas, United States of America.
Kathy TruongDepartment of Computer Science, Rice University, Houston, Texas, United States of America.
Ying SongThe State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China.
Michael H KohnDepartment of Ecology and Evolutionary Biology, Rice University, Houston, Texas, United States of America.
Luay NakhlehDepartment of Computer Science, Rice University, Houston, Texas, United States of America; Department of Ecology and Evolutionary Biology, Rice University, Houston, Texas, United States of America.
Rice University · USChinese Academy of Agricultural Sciences · CN

Funding

TRAINING PROGRAM IN COMPUTATIONAL BIOLOGY AND MEDICINET15LM007093 · NLM · RICE UNIVERSITY · PI Lydia E. Kavraki · 1992 to 2026
$20.8M
Evolutionary Analysis of Bacterial Genomes: High-Throughput Computational ToolsR01LM009494 · NLM · RICE UNIVERSITY · PI NAKHLEH, LUAY · 2008 to 2012
$1.3M
Warfarin Pharmacogenomics in the rat (Rattus norvegicus)R01HL091007 · NHLBI · RICE UNIVERSITY · PI KOHN, HANS MICHAEL · 2008 to 2011
$902k
NHLBI NIH HHS R01 HL091007NLM NIH HHS R01 LM009494NLM NIH HHS R01LM009494NLM NIH HHS T15 LM007093NLM NIH HHS T15LM007093
6 · The paper itself

Abstract

One outcome of interspecific hybridization and subsequent effects of evolutionary forces is introgression, which is the integration of genetic material from one species into the genome of an individual in another species. The evolution of several groups of eukaryotic species has involved hybridization, and cases of adaptation through introgression have been already established. In this work, we report on PhyloNet-HMM-a new comparative genomic framework for detecting introgression in genomes. PhyloNet-HMM combines phylogenetic networks with hidden Markov models (HMMs) to simultaneously capture the (potentially reticulate) evolutionary history of the genomes and dependencies within genomes. A novel aspect of our work is that it also accounts for incomplete lineage sorting and dependence across loci. Application of our model to variation data from chromosome 7 in the mouse (Mus musculus domesticus) genome detected a recently reported adaptive introgression event involving the rodent poison resistance gene Vkorc1, in addition to other newly detected introgressed genomic regions. Based on our analysis, it is estimated that about 9% of all sites within chromosome 7 are of introgressive origin (these cover about 13 Mbp of chromosome 7, and over 300 genes). Further, our model detected no introgression in a negative control data set. We also found that our model accurately detected introgression and other evolutionary processes from synthetic data sets simulated under the coalescent model with recombination, isolation, and migration. Our work provides a powerful framework for systematic analysis of introgression while simultaneously accounting for dependence across sites, point mutations, recombination, and ancestral polymorphism.

Indexed as

Comparative Genomic HybridizationEvolution, MolecularModels, GeneticAlgorithmsAnimalsChromosome MappingComputational BiologyComputer SimulationDatabases, GeneticGenetics, PopulationGenomicsMarkov ChainsMicePhylogeny

Identifiers

PMID24922281
PMCPMC4055573
OpenAlexW1978883605

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LicenceCC BY
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Registered trials

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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.