Evidence map›Paper›PMID 24528607›Full record

ArticleGenetics, selection, evolution : GSE2014

A genome-wide association study of production traits in a commercial population of Large White pigs: evidence of haplotypes affecting meat quality.

Marie-Pierre Sanchez, Thierry Tribout, Nathalie Iannuccelli, Marcel Bouffaud, Bertrand Servin, Amabel Tenghe, Patrice Dehais, Nelly Muller, Maria Pilar Del Schneider, Marie-José Mercat and 4 more

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
7.5field-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, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

  1. Pooled it
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  3. Investigation ofAnimals : an open access journal from MDPI · 2023
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  18. Significance testing and genomic inflation factor using high-density genotypes or whole-genome sequence data.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2019
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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

14 authors at 5 institutions in 2 countries.

Marie-Pierre SanchezINRA, UMR1313 Génétique Animale et Biologie Intégrative, F-78350 Jouy-en-Josas, France. marie-pierre.sanchez@jouy.inra.fr.
Thierry Tribout
Nathalie Iannuccelli
Marcel Bouffaud
Bertrand Servin
Amabel Tenghe
Patrice Dehais
Nelly Muller
Maria Pilar Del Schneider
Marie-José Mercat
Claire Rogel-Gaillard
Denis Milan
Jean-Pierre Bidanel
Hélène Gilbert
AgroParisTech · FRLaboratoire de Génétique Cellulaire · FRInstitut National de la Recherche Agronomique · MAGénétique Animale et Biologie Intégrative · FRInstitut du Porc · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNumerous quantitative trait loci (QTL) have been detected in pigs over the past 20 years using microsatellite markers. However, due to the low density of these markers, the accuracy of QTL location has generally been poor. Since 2009, the dense genome coverage provided by the Illumina PorcineSNP60 BeadChip has made it possible to more accurately map QTL using genome-wide association studies (GWAS). Our objective was to perform high-density GWAS in order to identify genomic regions and corresponding haplotypes associated with production traits in a French Large White population of pigs.

methodsAnimals (385 Large White pigs from 106 sires) were genotyped using the PorcineSNP60 BeadChip and evaluated for 19 traits related to feed intake, growth, carcass composition and meat quality. Of the 64,432 SNPs on the chip, 44,412 were used for GWAS with an animal mixed model that included a regression coefficient for the tested SNPs and a genomic kinship matrix. SNP haplotype effects in QTL regions were then tested for association with phenotypes following phase reconstruction based on the Sscrofa10.2 pig genome assembly.

resultsTwenty-three QTL regions were identified on autosomes and their effects ranged from 0.25 to 0.75 phenotypic standard deviation units for feed intake and feed efficiency (four QTL), carcass (12 QTL) and meat quality traits (seven QTL). The 10 most significant QTL regions had effects on carcass (chromosomes 7, 10, 16, 17 and 18) and meat quality traits (two regions on chromosome 1 and one region on chromosomes 8, 9 and 13). Thirteen of the 23 QTL regions had not been previously described. A haplotype block of 183 kb on chromosome 1 (six SNPs) was identified and displayed three distinct haplotypes with significant (0.0001 < P < 0.03) associations with all evaluated meat quality traits.

conclusionsGWAS analyses with the PorcineSNP60 BeadChip enabled the detection of 23 QTL regions that affect feed consumption, carcass and meat quality traits in a LW population, of which 13 were novel QTL. The proportionally larger number of QTL found for meat quality traits suggests a specific opportunity for improving these traits in the pig by genomic selection.

Indexed as

HaplotypesQuantitative Trait LociAnimalsBody CompositionGenomeGenome-Wide Association StudyGenotypeMaleMeatPhenotypePolymorphism, Single NucleotideSus scrofa

Identifiers

PMID24528607
PMCPMC3975960
OpenAlexW2115555069

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.