Evidence map›Paper›PMID 30250203›Full record

SynthesisScientific reports2018

GWAS and eQTL analysis identifies a SNP associated with both residual feed intake and GFRA2 expression in beef cattle.

Marc G Higgins, Claire Fitzsimons, Matthew C McClure, Clare McKenna, Stephen Conroy, David A Kenny, Mark McGee, Sinéad M Waters, Derek W Morris

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
9.4field-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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 127 citations in OpenAlex.

  1. Pooled it
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  3. Bayesian Genome-Wide Association Study of Feed Efficiency Traits in Pigs.Animals : an open access journal from MDPI · 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

9 authors at 3 institutions in 2 countries.

Marc G HigginsDiscipline of Biochemistry, National University of Ireland, Galway, Ireland.
Claire FitzsimonsLivestock Systems Research Department, Animal & Grassland Research and Innovation Centre, Teagasc, Grange, Dunsany, Co. Meath, Ireland.
Matthew C McClureIrish Cattle Breeding Federation, Highfield House, Bandon, Co. Cork, Ireland.
Clare McKennaAnimal and Bioscience Research Department, Animal & Grassland Research and Innovation Centre, Teagasc, Grange, Dunsany, Co. Meath, Ireland.
Stephen ConroyIrish Cattle Breeding Federation, Highfield House, Bandon, Co. Cork, Ireland.
David A KennyAnimal and Bioscience Research Department, Animal & Grassland Research and Innovation Centre, Teagasc, Grange, Dunsany, Co. Meath, Ireland.
Mark McGeeLivestock Systems Research Department, Animal & Grassland Research and Innovation Centre, Teagasc, Grange, Dunsany, Co. Meath, Ireland.
Sinéad M WatersAnimal and Bioscience Research Department, Animal & Grassland Research and Innovation Centre, Teagasc, Grange, Dunsany, Co. Meath, Ireland. sinead.waters@teagasc.ie.
Derek W MorrisDiscipline of Biochemistry, National University of Ireland, Galway, Ireland.ORCID 0000-0002-3413-570X
Teagasc - The Irish Agriculture and Food Development Authority · IEABS Consulting (United States) · USOllscoil na Gaillimhe – University of Galway · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Residual feed intake (RFI), a measure of feed efficiency, is an important economic and environmental trait in beef production. Selection of low RFI (feed efficient) cattle could maintain levels of production, while decreasing feed costs and methane emissions. However, RFI is a difficult and expensive trait to measure. Identification of single nucleotide polymorphisms (SNPs) associated with RFI may enable rapid, cost effective genomic selection of feed efficient cattle. Genome-wide association studies (GWAS) were conducted in multiple breeds followed by meta-analysis to identify genetic variants associated with RFI and component traits (average daily gain (ADG) and feed intake (FI)) in Irish beef cattle (n = 1492). Expression quantitative trait loci (eQTL) analysis was conducted to identify functional effects of GWAS-identified variants. Twenty-four SNPs were associated (P < 5 × 10

Indexed as

Animal FeedGene Expression RegulationGenome-Wide Association StudyRed MeatAnimalsBreedingCattleGlial Cell Line-Derived Neurotrophic Factor ReceptorsLiverMusclesPolymorphism, Single NucleotideQuantitative Trait LociGlial Cell Line-Derived Neurotrophic Factor Receptors

Identifiers

PMID30250203
PMCPMC6155370
OpenAlexW2892114797

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.