Evidence map›Paper›PMID 35764696›Full record

ArticleHeredity2022

Population structure and inbreeding in wild house mice (Mus musculus) at different geographic scales.

Andrew P Morgan, Jonathan J Hughes, John P Didion, Wesley J Jolley, Karl J Campbell, David W Threadgill, Francois Bonhomme, Jeremy B Searle, Fernando Pardo-Manuel de Villena

Open access · bronzeAbstract read
In one paragraph

Article in Heredity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed, 33 citations in OpenAlex.

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  16. Environmentally robustProceedings of the National Academy of Sciences of the United States of America · 2023
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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

9 authors at 5 institutions in 4 countries.

Andrew P Morgan *Department of Genetics and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA. andrew.parker.morgan@gmail.com.ORCID 0000-0003-1942-4543
Jonathan J Hughes *Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA.ORCID 0000-0001-5493-9134
John P DidionDepartment of Genetics and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA.
Wesley J JolleyIsland Conservation, Santa Cruz, CA, USA.
Karl J CampbellRe:wild, Puerto Ayora, Galápagos Islands, Ecuador.ORCID 0000-0001-5616-466X
David W ThreadgillInstitute for Genome Sciences and Society, Texas A&M University, College Station, TX, USA.
Francois BonhommeInstitut des Sciences de l'Évolution Montpellier, Université de Montpellier, Montpellier, France.
Jeremy B SearleDepartment of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA.ORCID 0000-0001-7710-5204
Fernando Pardo-Manuel de VillenaDepartment of Genetics and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA. fernando@med.unc.edu.
University of North Carolina at Chapel Hill · USCornell University · USCharles Darwin Foundation · ECTexas A&M University · USUniversité de Montpellier · FR

Funding

Unlocking Zika Virus Immune Control and Pathogenesis with the Collaborative CrossU19AI100625 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BARIC, RALPH S, HEISE, MARK T · 2012 to 2021
$36.6M
UNC and PERLEGEN, IncP50GM076468 · NIGMS · JACKSON LABORATORY · PI CHURCHILL, GARY A · 2006 to 2015
$31.0M
Resource Section - Core 001U42OD010924 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Folami Ideraabdullah · 2012 to 2026
$24.5M
UNC Predoc Training Progr in Bioinformatics/Comp BiologyT32GM067553 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELSTON, TIMOTHY C · 2005 to 2019
$2.5M
Genomic Resources for the Collaborative CrossU24HG010100 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MCMILLAN, LEONARD, PARDO-MANUEL DE VILLENA, FERNANDO · 2018 to 2022
$1.8M
Effects of advanced paternal age on germline genome stabilityF30MH103925 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, ANDREW PARKER · 2014 to 2017
$151k
NHGRI NIH HHS U24 HG010100NIAID NIH HHS U19 AI100625NIGMS NIH HHS P50 GM076468NIGMS NIH HHS T32 GM067553NIH HHS U42 OD010924NIMH NIH HHS F30 MH103925
6 · The paper itself

Abstract

House mice (Mus musculus) have spread globally as a result of their commensal relationship with humans. In the form of laboratory strains, both inbred and outbred, they are also among the most widely used model organisms in biomedical research. Although the general outlines of house mouse dispersal and population structure are well known, details have been obscured by either limited sample size or small numbers of markers. Here we examine ancestry, population structure, and inbreeding using SNP microarray genotypes in a cohort of 814 wild mice spanning five continents and all major subspecies of Mus, with a focus on M. m. domesticus. We find that the major axis of genetic variation in M. m. domesticus is a south-to-north gradient within Europe and the Mediterranean. The dominant ancestry component in North America, Australia, New Zealand, and various small offshore islands are of northern European origin. Next we show that inbreeding is surprisingly pervasive and highly variable, even between nearby populations. By inspecting the length distribution of homozygous segments in individual genomes, we find that inbreeding in commensal populations is mostly due to consanguinity. Our results offer new insight into the natural history of an important model organism for medicine and evolutionary biology.

Indexed as

GenomeInbreedingAnimalsBiological EvolutionEuropeHumansMiceNew Zealand

Identifiers

PMID35764696
PMCPMC9411160
OpenAlexW4283657644

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.