Evidence map›Paper›PMID 31801456›Full record

ArticleBMC genomics2019

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

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

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed, 59 citations in OpenAlex.

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  3. 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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  5. Animals : an open access journal from MDPI · 2025
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  7. Sequence variants associated with resilient responses in growing pigs.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025
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  8. Article
  9. Analysis of Runs of Homozygosity in Aberdeen Angus Cattle.Animals : an open access journal from MDPI · 2024
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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

8 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.
David L OldeschulteDepartment of Veterinary Pathobiology, Texas A&M University, College Station, 77843, 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.ORCID http://orcid.org/0000-0001-7104-0032
Texas A&M University · USUniversity of Missouri · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSingle nucleotide polymorphism (SNP) arrays have facilitated discovery of genetic markers associated with complex traits in domestic cattle; thereby enabling modern breeding and selection programs. Genome-wide association analyses (GWAA) for growth traits were conducted on 10,837 geographically diverse U.S. Gelbvieh cattle using a union set of 856,527 imputed SNPs. Birth weight (BW), weaning weight (WW), and yearling weight (YW) were analyzed using GEMMA and EMMAX (via imputed genotypes). Genotype-by-environment (GxE) interactions were also investigated.

resultsGEMMA and EMMAX produced moderate marker-based heritability estimates that were similar for BW (0.36-0.37, SE = 0.02-0.06), WW (0.27-0.29, SE = 0.01), and YW (0.39-0.41, SE = 0.01-0.02). GWAA using 856K imputed SNPs (GEMMA; EMMAX) revealed common positional candidate genes underlying pleiotropic QTL for Gelbvieh growth traits on BTA6, BTA7, BTA14, and BTA20. The estimated proportion of phenotypic variance explained (PVE) by the lead SNP defining these QTL (EMMAX) was larger and most similar for BW and YW, and smaller for WW. Collectively, GWAAs (GEMMA; EMMAX) produced a highly concordant set of BW, WW, and YW QTL that met a nominal significance level (P ≤ 1e-05), with prioritization of common positional candidate genes; including genes previously associated with stature, feed efficiency, and growth traits (i.e., PLAG1, NCAPG, LCORL, ARRDC3, STC2). Genotype-by-environment QTL were not consistent among traits at the nominal significance threshold (P ≤ 1e-05); although some shared QTL were apparent at less stringent significance thresholds (i.e., P ≤ 2e-05).

conclusionsPleiotropic QTL for growth traits were detected on BTA6, BTA7, BTA14, and BTA20 for U.S. Gelbvieh beef cattle. Seven QTL detected for Gelbvieh growth traits were also recently detected for feed efficiency and growth traits in U.S. Angus, SimAngus, and Hereford cattle. Marker-based heritability estimates and the detection of pleiotropic QTL segregating in multiple breeds support the implementation of multiple-breed genomic selection.

Indexed as

Quantitative Trait LociAnimalsBirth WeightCattleGene-Environment InteractionGenome-Wide Association StudyOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideQuantitative Trait, HeritableSpecies SpecificityWeaningGelbviehGenotype-by-environment interactionGrowth traitsGWAAQTL

Identifiers

PMID31801456
PMCPMC6892214
OpenAlexW2994477529

What OpenQuestion 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 OpenQuestion graph.