Evidence map›Paper›PMID 26856324›Full record

ArticleGenetics, selection, evolution : GSE2016

Genome-wide association reveals QTL for growth, bone and in vivo carcass traits as assessed by computed tomography in Scottish Blackface lambs.

Oswald Matika, Valentina Riggio, Marie Anselme-Moizan, Andrew S Law, Ricardo Pong-Wong, Alan L Archibald, Stephen C Bishop

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
8.4field-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

42 citing papers in PubMed, 114 citations in OpenAlex.

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  16. Recent advances in the genomic resources for sheep.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
    Review
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  19. Animals : an open access journal from MDPI · 2023
    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 2 countries.

Oswald MatikaThe Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh, UK. oswald.matika@roslin.ed.ac.uk.
Valentina RiggioThe Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh, UK. valentina.riggio@roslin.ed.ac.uk.
Marie Anselme-MoizanINP, Ecole Nationale Vétérinaire, Toulouse, France. m.anselmemoizan_11@envt.fr.
Andrew S LawThe Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh, UK. andy.law@roslin.ed.ac.uk.
Ricardo Pong-WongThe Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh, UK. ricardo.pong-wong@roslin.ed.ac.uk.
Alan L ArchibaldThe Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh, UK. alan.archibald@roslin.ed.ac.uk.
Stephen C BishopThe Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh, UK. stephen.bishop@roslin.ed.ac.uk.
Roslin Institute · GBÉcole Nationale Vétérinaire de Toulouse · FR

Funding

Biotechnology and Biological Sciences Research Council BBS/E/D/05191132Biotechnology and Biological Sciences Research Council BBS/E/D/20211553
6 · The paper itself

Abstract

backgroundImproving meat quality including taste and tenderness is critical to the protection and development of markets for sheep meat. Phenotypic selection for such measures of meat quality is constrained by the fact that these parameters can only be measured post-slaughter. Carcass composition has an impact on meat quality and can be measured on live animals using advanced imaging technologies such as X-ray computed tomography (CT). Since carcass composition traits are heritable, they are potentially amenable to improvement through marker-assisted and genomic selection. We conducted a genome-wide association study (GWAS) on about 600 Scottish Blackface lambs for which detailed carcass composition phenotypes, including bone, fat and muscle components, had been captured using CT and which were genotyped for ~40,000 single nucleotide polymorphisms (SNPs) using the Illumina OvineSNP50 chip.

resultsWe confirmed that the carcass composition traits were heritable with moderate to high (0.19-0.78) heritabilities. The GWAS analyses revealed multiple SNPs and quantitative trait loci (QTL) that were associated with effects on carcass composition traits and were significant at the genome-wide level. In particular, we identified a region on ovine chromosome 6 (OAR6) associated with bone weight and bone area that harboured SNPs with p values of 5.55 × 10(-8) and 2.63 × 10(-9), respectively. The same region had effects on fat area, fat density, fat weight and muscle density. We identified plausible positional candidate genes for these OAR6 QTL. We also detected a SNP that reached the genome-wide significance threshold with a p value of 7.28 × 10(-7) and was associated with muscle density on OAR1. Using a regional heritability mapping approach, we also detected regions on OAR3 and 24 that reached genome-wide significance for bone density.

conclusionsWe identified QTL on OAR1, 3, 24 and particularly on OAR6 that are associated with effects on muscle, fat and bone traits. Based on available evidence that indicates that these traits are genetically correlated with meat quality traits, these associated SNPs have potential applications in selective breeding for improved meat quality. Further research is required to determine whether the effects associated with the OAR6 QTL are caused by a single gene or several closely-linked genes.

Indexed as

Genome-Wide Association StudyQuantitative Trait LociRed MeatAnimalsBody CompositionBody WeightChromosome MappingFemaleGenotypePhenotypePolymorphism, Single NucleotideSelection, GeneticSheep, DomesticTomography

Identifiers

PMID26856324
PMCPMC4745175
OpenAlexW2268125452

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.