Evidence map›Paper›PMID 24205251›Full record

ArticlePloS one2013

Bivariate genome-wide association analysis of the growth and intake components of feed efficiency.

Nick V L Serão, Dianelys González-Peña, Jonathan E Beever, Germán A Bollero, Bruce R Southey, Daniel B Faulkner, Sandra L Rodriguez-Zas

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

25 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Comprehensive selection signature analyses in dairy cattle exploiting purebred and crossbred genomic data.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
    Article
  6. Long-range linkage disequilibrium in French beef cattle breeds.Genetics, selection, evolution : GSE · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors at 1 institution in 1 country.

Nick V L SerãoDepartment of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.
Dianelys González-Peña
Jonathan E Beever
Germán A Bollero
Bruce R Southey
Daniel B Faulkner
Sandra L Rodriguez-Zas
University of Illinois Urbana-Champaign · US

Funding

The UIUC Neuroproteomics Center on Cell-Cell SignalingP30DA018310 · NIDA · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI Elena V Romanova · 2004 to 2026
$24.9M
Integration of resources and studies to elucidate neuropeptide signalingR21DA027548 · NIDA · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI RODRIGUEZ ZAS, SANDRA L · 2009 to 2012
$961k
NIDA NIH HHS P30 DA018310NIDA NIH HHS R21 DA027548
6 · The paper itself

Abstract

Single nucleotide polymorphisms (SNPs) associated with average daily gain (ADG) and dry matter intake (DMI), two major components of feed efficiency in cattle, were identified in a genome-wide association study (GWAS). Uni- and multi-SNP models were used to describe feed efficiency in a training data set and the results were confirmed in a validation data set. Results from the univariate and bivariate analyses of ADG and DMI, adjusted by the feedlot beef steer maintenance requirements, were compared. The bivariate uni-SNP analysis identified (P-value <0.0001) 11 SNPs, meanwhile the univariate analyses of ADG and DMI identified 8 and 9 SNPs, respectively. Among the six SNPs confirmed in the validation data set, five SNPs were mapped to KDELC2, PHOX2A, and TMEM40. Findings from the uni-SNP models were used to develop highly accurate predictive multi-SNP models in the training data set. Despite the substantially smaller size of the validation data set, the training multi-SNP models had slightly lower predictive ability when applied to the validation data set. Six Gene Ontology molecular functions related to ion transport activity were enriched (P-value <0.001) among the genes associated with the detected SNPs. The findings from this study demonstrate the complementary value of the uni- and multi-SNP models, and univariate and bivariate GWAS analyses. The identified SNPs can be used for genome-enabled improvement of feed efficiency in feedlot beef cattle, and can aid in the design of empirical studies to further confirm the associations.

Indexed as

Animal FeedEatingGenome-Wide Association StudyAnimalsCattleGene Regulatory NetworksMeatMultivariate AnalysisPolymorphism, Single NucleotideWeight Gain

Identifiers

PMID24205251
PMCPMC3812149
OpenAlexW2081912214

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.