Evidence map›Paper›PMID 37919645›Full record

ArticleGenetics, selection, evolution : GSE2023

Across-country genetic and genomic analyses of foot score traits in American and Australian Angus cattle.

Amanda B Alvarenga, Kelli J Retallick, Andre Garcia, Stephen P Miller, Andrew Byrne, Hinayah R Oliveira, Luiz F Brito

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Genetic Heterogeneity of Residual Variance for Foot Score Traits in American Angus Cattle.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
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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

7 authors at 2 institutions in 2 countries.

Amanda B AlvarengaDepartment of Animal Sciences, Purdue University, 270 South Russell Street, West Lafayette, IN, 47907, USA.
Kelli J RetallickAmerican Angus Association, Angus Genetics Inc., 3201 Frederick Avenue, Saint Joseph, MO, 64506, USA.
Andre GarciaAmerican Angus Association, Angus Genetics Inc., 3201 Frederick Avenue, Saint Joseph, MO, 64506, USA.
Stephen P MillerAmerican Angus Association, Angus Genetics Inc., 3201 Frederick Avenue, Saint Joseph, MO, 64506, USA.
Andrew ByrneAngus Australia, 86 Glen Innes Road, Armidale, NSW, 2350, Australia.
Hinayah R OliveiraDepartment of Animal Sciences, Purdue University, 270 South Russell Street, West Lafayette, IN, 47907, USA.
Luiz F BritoDepartment of Animal Sciences, Purdue University, 270 South Russell Street, West Lafayette, IN, 47907, USA. britol@purdue.edu.ORCID http://orcid.org/0000-0002-5819-0922
Purdue University West Lafayette · USUniversity of New England · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHoof structure and health are essential for the welfare and productivity of beef cattle. Therefore, we assessed the genetic and genomic background of foot score traits in American (US) and Australian (AU) Angus cattle and investigated the feasibility of performing genomic evaluations combining data for foot score traits recorded in US and AU Angus cattle. The traits evaluated were foot angle (FA) and claw set (CS). In total, 109,294 and ~ 1.12 million animals had phenotypic and genomic information, respectively. Four sets of analyses were performed: (1) genomic connectedness between US and AU Angus cattle populations and population structure, (2) estimation of genetic parameters, (3) single-step genomic prediction of breeding values, and (4) single-step genome-wide association studies for FA and CS.

resultsThere was no clear genetic differentiation between US and AU Angus populations. Similar heritability estimates (FA: 0.22-0.24 and CS: 0.22-0.27) and moderate-to-high genetic correlations between US and AU foot scores (FA: 0.61 and CS: 0.76) were obtained. A joint-genomic prediction using data from both populations outperformed within-country genomic evaluations. A genomic prediction model considering US and AU datasets as a single population performed similarly to the scenario accounting for genotype-by-environment interactions (i.e., multiple-trait model considering US and AU records as different traits), even though the genetic correlations between countries were lower than 0.80. Common significant genomic regions were observed between US and AU for FA and CS. Significant single nucleotide polymorphisms were identified on the Bos taurus (BTA) chromosomes BTA1, BTA5, BTA11, BTA13, BTA19, BTA20, and BTA23. The candidate genes identified were primarily from growth factor gene families, including FGF12 and GDF5, which were previously associated with bone structure and repair.

conclusionsThis study presents comprehensive population structure and genetic and genomic analyses of foot scores in US and AU Angus cattle populations, which are essential for optimizing the implementation of genomic selection for improved foot scores in Angus cattle breeding programs. We have also identified candidate genes associated with foot scores in the largest Angus cattle populations in the world and made recommendations for genomic evaluations for improved foot score traits in the US and AU.

Indexed as

GenomeGenome-Wide Association StudyAnimalsAustraliaCattleGenomicsGenotypePhenotypePolymorphism, Single Nucleotide

Identifiers

PMID37919645
PMCPMC10621155
OpenAlexW4388232429

What OpenQuestion holds

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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.