Evidence map›Paper›PMID 35842584›Full record

ArticleBMC genomics2022

Genome-wide association and genotype by environment interactions for growth traits in U.S. Red Angus cattle.

Johanna L Smith, Miranda L Wilson, Sara M Nilson, Troy N Rowan, Robert D Schnabel, Jared E Decker, Christopher M Seabury

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
8.8field-weighted citation impact, top 2% 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

41 citing papers in PubMed, 47 citations in OpenAlex.

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  6. Genome-wide association study of mature cow size traits in American Angus cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
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  11. Identification ofFrontiers in veterinary science · 2026
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  18. Genome-Wide Association Study for Weight-Related Traits inAnimals : an open access journal from MDPI · 2025
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  19. 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

7 authors at 2 institutions in 1 country.

Johanna L SmithDepartment of Veterinary Pathobiology, Texas A&M University, College Station, 77843, USA.
Miranda L WilsonDepartment of Veterinary Pathobiology, Texas A&M University, College Station, 77843, USA.
Sara M NilsonDivision of Animal Sciences, University of Missouri, Columbia, 65211, USA.
Troy N RowanDivision of Animal Sciences, University of Missouri, Columbia, 65211, USA.
Robert D SchnabelDivision of Animal Sciences, University of Missouri, Columbia, 65211, USA.
Jared E DeckerDivision of Animal Sciences, University of Missouri, Columbia, 65211, USA.
Christopher M SeaburyDepartment of Veterinary Pathobiology, Texas A&M University, College Station, 77843, USA. cseabury@cvm.tamu.edu.
University of Missouri · USTexas A&M University · US

Funding

National Institute of Food and Agriculture Agriculture and Food Research Initiative Competitive Grant no. 2016-68004-24827
6 · The paper itself

Abstract

backgroundGenotypic information produced from single nucleotide polymorphism (SNP) arrays has routinely been used to identify genomic regions associated with complex traits in beef and dairy cattle. Herein, we assembled a dataset consisting of 15,815 Red Angus beef cattle distributed across the continental U.S. and a union set of 836,118 imputed SNPs to conduct genome-wide association analyses (GWAA) for growth traits using univariate linear mixed models (LMM); including birth weight, weaning weight, and yearling weight. Genomic relationship matrix heritability estimates were produced for all growth traits, and genotype-by-environment (GxE) interactions were investigated.

resultsModerate to high heritabilities with small standard errors were estimated for birth weight (0.51 ± 0.01), weaning weight (0.25 ± 0.01), and yearling weight (0.42 ± 0.01). GWAA revealed 12 pleiotropic QTL (BTA6, BTA14, BTA20) influencing Red Angus birth weight, weaning weight, and yearling weight which met a nominal significance threshold (P ≤ 1e-05) for polygenic traits using 836K imputed SNPs. Moreover, positional candidate genes associated with Red Angus growth traits in this study (i.e., LCORL, LOC782905, NCAPG, HERC6, FAM184B, SLIT2, MMRN1, KCNIP4, CCSER1, GRID2, ARRDC3, PLAG1, IMPAD1, NSMAF, PENK, LOC112449660, MOS, SH3PXD2B, STC2, CPEB4) were also previously associated with feed efficiency, growth, and carcass traits in beef cattle. Collectively, 14 significant GxE interactions were also detected, but were less consistent among the investigated traits at a nominal significance threshold (P ≤ 1e-05); with one pleiotropic GxE interaction detected on BTA28 (24 Mb) for Red Angus weaning weight and yearling weight.

conclusionsSixteen well-supported QTL regions detected from the GWAA and GxE GWAA for growth traits (birth weight, weaning weight, yearling weight) in U.S. Red Angus cattle were found to be pleiotropic. Twelve of these pleiotropic QTL were also identified in previous studies focusing on feed efficiency and growth traits in multiple beef breeds and/or their composites. In agreement with other beef cattle GxE studies our results implicate the role of vasodilation, metabolism, and the nervous system in the genetic sensitivity to environmental stress.

Indexed as

Gene-Environment InteractionGenome-Wide Association StudyAnimalsBirth WeightCattleGenomeGenotypePhenotypePolymorphism, Single NucleotideGenotype-by-environment interactionGrowth traitsGWAAQTLRed Angus

Identifiers

PMID35842584
PMCPMC9287884
OpenAlexW4285588579

What Socratic holds

Textmetadata
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 Socratic graph.