Evidence map›Paper›PMID 25879925›Full record

ArticleBMC genetics2015

Genome-wide association analyses for boar taint components and testicular traits revealed regions having pleiotropic effects.

Christine Große-Brinkhaus, Leonie C Storck, Luc Frieden, Christiane Neuhoff, Karl Schellander, Christian Looft, Ernst Tholen

Abstract read
In one paragraph

Article in BMC genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. How to Improve Meat Quality and Welfare in Entire Male Pigs by Genetics.Animals : an open access journal from MDPI · 2021
    Review
  4. Pork Production with Entire Males: Directions for Control of Boar Taint.Animals : an open access journal from MDPI · 2020
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
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.

Christine Große-BrinkhausInstitute of Animal Science, University of Bonn, Endenicher Allee 15, 53115, Bonn, Germany. cgro@itw.uni-bonn.de.
Leonie C StorckInstitute of Animal Science, University of Bonn, Endenicher Allee 15, 53115, Bonn, Germany. leoniestorck@gmx.net.
Luc FriedenInstitute of Animal Science, University of Bonn, Endenicher Allee 15, 53115, Bonn, Germany. Luc.Frieden@convis.lu.
Christiane NeuhoffInstitute of Animal Science, University of Bonn, Endenicher Allee 15, 53115, Bonn, Germany. cneu@itw.uni-bonn.de.
Karl SchellanderInstitute of Animal Science, University of Bonn, Endenicher Allee 15, 53115, Bonn, Germany. ksch@itw.uni-bonn.de.
Christian LooftInstitute of Animal Science, University of Bonn, Endenicher Allee 15, 53115, Bonn, Germany. cloo@itw.uni-bonn.de.
Ernst TholenInstitute of Animal Science, University of Bonn, Endenicher Allee 15, 53115, Bonn, Germany. etho@itw.uni-bonn.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to perform a genome-wide association analyses (GWAS) for androstenone, skatole and indole in different Pietrain sire lines and compare the results with previous findings in purebred populations. Furthermore, the genetic relationship of androstenone and skatole were investigated with respect to pleiotropy. In order to characterize the performance of intact boars, crossbred progenies of 136 Pietrain boars mated to crossbred sows from three different breeding companies were tested on four test stations. A total of 598 boars were performance tested according to the rules of stationary performance testing in Germany. Beside common fattening and carcass composition traits, the concentrations of the boar taint components and testicular size parameters were recorded. All boars were genotyped with the PorcineSNP60 Illumina BeadChip. The GWAS were performed using the whole data set as well as in sub groups according to the line of origin. Besides an univariate GWAS approach, principal component (PC) techniques were applied to identify common expression pattern affecting the biosynthesis and the metabolism of androstenone.

resultsIn total, 33 SNPs were significantly associated with at least one of the boar taint components. Only one SNP was identified being significant in both subgroups. The analyses of the testes size parameters revealed 31 significant associations. The numbers of significant SNPs within the genetic groups evidenced the strong population specific effects. A multivariate approach using PC revealed 33 significant associations for five different PC.

conclusionsBased on Pietrain sired cross bred boars, the mayor objective of our study was to identify QTL for boar taint components and to detect pleiotropy among boar taint and testes traits. The high number of identified QTL revealed that boar taint traits are influenced by a large number of loci. Analyzing pleiotropy allowed identifying a QTL affecting androstenone and the gonasomatic index. In this region, QTL for ovulation rate and age at puberty of sows have been described in literature. This supports the physiological findings that the androstenone level of boars and reproduction performance of sows might be linked by an antagonistic relationship.

Indexed as

Genome-Wide Association StudyQuantitative Trait, HeritableQuantitative Trait LociAnimalsChromosome MappingGenetics, PopulationGenotypeHaplotypesHybridization, GeneticLinkage DisequilibriumMalePolymorphism, Single NucleotideReproducibility of ResultsSwineTestis

Identifiers

PMID25879925
PMCPMC4429935

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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.