Evidence map›Paper›PMID 28521758›Full record

ArticleBMC genomics2017

Genome-wide association study for feed efficiency and growth traits in U.S. beef cattle.

Christopher M Seabury, David L Oldeschulte, Mahdi Saatchi, Jonathan E Beever, Jared E Decker, Yvette A Halley, Eric K Bhattarai, Maral Molaei, Harvey C Freetly, Stephanie L Hansen and 13 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed, 3 pooled it
16.3field-weighted citation impact, top 1% 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

109 citing papers in PubMed, 3 syntheses or guidelines pooled it, 236 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
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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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  13. Genomic insights into the recent evolution and biodiversity of Italian sheep breeds.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
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  18. Search for Ancient Selection Traces in Faverolle Chicken Breed (Animals : an open access journal from MDPI · 2025
    Article
  19. Article
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49 more citing papers are in PubMed but not listed here.

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

23 authors at 9 institutions in 2 countries.

Christopher M SeaburyDepartment of Veterinary Pathobiology, Texas A&M University, College Station, 77843, USA. cseabury@cvm.tamu.edu.
David L OldeschulteDepartment of Veterinary Pathobiology, Texas A&M University, College Station, 77843, USA.
Mahdi SaatchiDepartment of Animal Science, Iowa State University, Ames, 50011, USA.
Jonathan E BeeverDepartment of Animal Sciences, University of Illinois, Urbana, 61801, USA.
Jared E DeckerDivision of Animal Sciences, University of Missouri, Columbia, 65211, USA.
Yvette A HalleyDepartment of Veterinary Pathobiology, Texas A&M University, College Station, 77843, USA.
Eric K BhattaraiDepartment of Veterinary Pathobiology, Texas A&M University, College Station, 77843, USA.
Maral MolaeiDepartment of Veterinary Pathobiology, Texas A&M University, College Station, 77843, USA.
Harvey C FreetlyUSDA, ARS, US Meat Animal Research Center, Clay Center, 68933, USA.
Stephanie L HansenDepartment of Animal Science, Iowa State University, Ames, 50011, USA.
Helen Yampara-IquiseDivision of Animal Sciences, University of Missouri, Columbia, 65211, USA.
Kristen A JohnsonDepartment of Animal Sciences, Washington State University, Pullman, 99164, USA.
Monty S KerleyDivision of Animal Sciences, University of Missouri, Columbia, 65211, USA.
JaeWoo KimDivision of Animal Sciences, University of Missouri, Columbia, 65211, USA.
Daniel D LoyDepartment of Animal Science, Iowa State University, Ames, 50011, USA.
Elisa MarquesGeneSeek a Neogen Company, Lincoln, 68521, USA.
Holly L NeibergsDepartment of Animal Sciences, Washington State University, Pullman, 99164, USA.
Robert D SchnabelDivision of Animal Sciences, University of Missouri, Columbia, 65211, USA.
Daniel W ShikeDepartment of Animal Sciences, University of Illinois, Urbana, 61801, USA.
Matthew L SpanglerDepartment of Animal Science, University of Nebraska, Lincoln, 68583, USA.
Robert L WeaberDepartment of Animal Sciences and Industry, Kansas State University, Manhattan, 66506, USA.
Dorian J GarrickDepartment of Animal Science, Iowa State University, Ames, 50011, USA.
Jeremy F TaylorDivision of Animal Sciences, University of Missouri, Columbia, 65211, USA. taylorjerr@missouri.edu.
University of Missouri · USTexas A&M University · USIowa State University · USUniversity of Illinois Urbana-Champaign · USWashington State University · USKansas State University · USNeogen (United States) · USRoman L. Hruska U.S. Meat Animal Research Center · USUniversity of Nebraska–Lincoln · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSingle nucleotide polymorphism (SNP) arrays for domestic cattle have catalyzed the identification of genetic markers associated with complex traits for inclusion in modern breeding and selection programs. Using actual and imputed Illumina 778K genotypes for 3887 U.S. beef cattle from 3 populations (Angus, Hereford, SimAngus), we performed genome-wide association analyses for feed efficiency and growth traits including average daily gain (ADG), dry matter intake (DMI), mid-test metabolic weight (MMWT), and residual feed intake (RFI), with marker-based heritability estimates produced for all traits and populations.

resultsModerate and/or large-effect QTL were detected for all traits in all populations, as jointly defined by the estimated proportion of variance explained (PVE) by marker effects (PVE ≥ 1.0%) and a nominal P-value threshold (P ≤ 5e-05). Lead SNPs with PVE ≥ 2.0% were considered putative evidence of large-effect QTL (n = 52), whereas those with PVE ≥ 1.0% but < 2.0% were considered putative evidence for moderate-effect QTL (n = 35). Identical or proximal lead SNPs associated with ADG, DMI, MMWT, and RFI collectively supported the potential for either pleiotropic QTL, or independent but proximal causal mutations for multiple traits within and between the analyzed populations. Marker-based heritability estimates for all investigated traits ranged from 0.18 to 0.60 using 778K genotypes, or from 0.17 to 0.57 using 50K genotypes (reduced from Illumina 778K HD to Illumina Bovine SNP50). An investigation to determine if QTL detected by 778K analysis could also be detected using 50K genotypes produced variable results, suggesting that 50K analyses were generally insufficient for QTL detection in these populations, and that relevant breeding or selection programs should be based on higher density analyses (imputed or directly ascertained).

conclusionsFourteen moderate to large-effect QTL regions which ranged from being physically proximal (lead SNPs ≤ 3Mb) to fully overlapping for RFI, DMI, ADG, and MMWT were detected within and between populations, and included evidence for pleiotropy, proximal but independent causal mutations, and multi-breed QTL. Bovine positional candidate genes for these traits were functionally conserved across vertebrate species.

Indexed as

Animal FeedGenome-Wide Association StudyAnimalsBody WeightBreedingCattleEatingPhenotypePolymorphism, Single NucleotideUnited StatesBeef CattleFeed efficiency and growthGWASQTL

Identifiers

PMID28521758
PMCPMC5437562
OpenAlexW2616128778

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.