Evidence map›Paper›PMID 41430522›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2025

Genomic structure and selection history across Angus populations worldwide: insights from ROH, selection mapping, and functional analyses.

Henrique A Mulim, Gabriel S Campos, Fernando F Cardoso, Victor Breno Pedrosa, Kajal Latimer, Lindsay R Upperman, A J Knowles, Andre Garcia, Kelli Retallick, Steve Miller and 1 more

Abstract read
In one paragraph

Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Genome-wide association study of mature cow size traits in American Angus cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
  3. Review
  4. Article
  5. Article
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

11 authors.

Henrique A MulimDepartment of Animal Science, Purdue University, West Lafayette, IN, 47907, USA. hmulim@purdue.edu.
Gabriel S CamposDepartment of Animal Science, Purdue University, West Lafayette, IN, 47907, USA.
Fernando F CardosoBrazilian Agricultural Research Corporation, Embrapa South Livestock Center, Bage, RS, Brazil.
Victor Breno PedrosaNeogen Corporation, Lincoln, NE, 68504, USA.
Kajal LatimerCanadian Angus Association, Rocky View County, AB, T4A 0E2, Canada.
Lindsay R UppermanRed Angus Association of America, Commerce City, CO, 80022, USA.
A J KnowlesRed Angus Association of America, Commerce City, CO, 80022, USA.
Andre GarciaAngus Genetics Inc. American Angus Association, Saint Joseph, MO, 64506, USA.
Kelli RetallickAngus Genetics Inc. American Angus Association, Saint Joseph, MO, 64506, USA.
Steve MillerAGBU, a Joint Venture of New South Wales Department of Primary Industries and Regional Development and the University of New England, Armidale, NSW, 2351, Australia.
Hinayah Rojas de OliveiraDepartment of Animal Science, Purdue University, West Lafayette, IN, 47907, USA. hinayah@purdue.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Angus cattle, originally from Scotland, have been selectively bred for over 400 years, making them one of the most prominent beef breeds globally. Known for their adaptability, natural polled traits, and high-quality beef, Angus cattle have been intensively selected for growth, body size, and feed efficiency. This study investigates the genetic diversity, selection history, and key genomic regions across five Angus populations from the USA, Canada, Australia, Brazil, and Red Angus of America. Genomic data from 71,283 animals born between 1961 and 2024 were analyzed using Principal Component Analysis (PCA), phylogenetic tree construction, and Runs of Homozygosity (ROH), with the Generation Proxy Selection Mapping (GPSM) approach used to assess selection history. Functional annotation identified candidate genes and pathways related to selection. Our analysis revealed both similarities and differences across populations. The PCA and FST metrics showed minimal differentiation between the American, Canadian, Australian, and Brazilian populations, with greater differentiation observed in the Red Angus population. The ROH analysis revealed that the Brazilian population had the highest number of ROHs. The ROH islands identified on BTA8 and BTA13 in the American and Australian populations were linked to traits like body weight, marbling, and tenderness. The GPSM identified significant markers associated with body weight and growth in all populations, reflecting ongoing selection pressures. This study highlights the potential of genomics to improve our understanding of Angus cattle's genetic architecture and selection history. It underscores the feasibility of integrating global populations for more accurate genomic evaluations, enhancing genetic predictions, and supporting sustainable beef production worldwide.

Indexed as

GenomeSelection, GeneticAnimalsAustraliaCattleChromosome MappingGenetics, PopulationGenetic VariationGenomicsHomozygotePhylogenyPrincipal Component Analysis

Identifiers

PMID41430522
PMCPMC12722264

What OpenQuestion holds

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LicenceCC BY
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.