Evidence map›Paper›PMID 26652161›Full record

ArticleBMC genomics2015

Genome-wide association study reveals novel loci for litter size and its variability in a Large White pig population.

E Sell-Kubiak, N Duijvesteijn, M S Lopes, L L G Janss, E F Knol, P Bijma, H A Mulder

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.

  1. Pooled it
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  9. Selection for Resilience in Livestock Production Systems.International journal of molecular sciences · 2024
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  18. The Association of an SNP in theAnimals : an open access journal from MDPI · 2021
    Article
  19. Transcriptomic Data Analyses Reveal That Sow Fertility-Related lincRNAFrontiers in cell and developmental biology · 2021
    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 3 institutions in 2 countries.

E Sell-KubiakAnimal Breeding and Genomics Center, Wageningen University, P.O. Box 338, 6700, Wageningen, AH, The Netherlands. ewa.sell.kubiak@gmail.com.
N DuijvesteijnTopigs Norsvin Research Center B.V, P.O. Box 43, 6640, Beuningen, AA, The Netherlands. naomi.duijvesteijn@topigsnorsvin.com.
M S LopesTopigs Norsvin Research Center B.V, P.O. Box 43, 6640, Beuningen, AA, The Netherlands. marcos.lopes@topigsnorsvin.com.
L L G JanssDepartment of Molecular Biology and Genetics, Aarhus University, P.O. Box 50, 8830, Tjele, Denmark. luc.janss@mbg.au.dk.
E F KnolTopigs Norsvin Research Center B.V, P.O. Box 43, 6640, Beuningen, AA, The Netherlands. egbert.knol@topigsnorsvin.com.
P BijmaAnimal Breeding and Genomics Center, Wageningen University, P.O. Box 338, 6700, Wageningen, AH, The Netherlands. piter.bijma@wur.nl.
H A MulderAnimal Breeding and Genomics Center, Wageningen University, P.O. Box 338, 6700, Wageningen, AH, The Netherlands. han.mulder@wur.nl.
Topigs Norsvin (Netherlands) · NLWageningen University & Research · NLAarhus University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn many traits, not only individual trait levels are under genetic control, but also the variation around that level. In other words, genotypes do not only differ in mean, but also in (residual) variation around the genotypic mean. New statistical methods facilitate gaining knowledge on the genetic architecture of complex traits such as phenotypic variability. Here we study litter size (total number born) and its variation in a Large White pig population using a Double Hierarchical Generalized Linear model, and perform a genome-wide association study using a Bayesian method.

resultsIn total, 10 significant single nucleotide polymorphisms (SNPs) were detected for total number born (TNB) and 9 SNPs for variability of TNB (varTNB). Those SNPs explained 0.83 % of genetic variance in TNB and 1.44 % in varTNB. The most significant SNP for TNB was detected on Sus scrofa chromosome (SSC) 11. A possible candidate gene for TNB is ENOX1, which is involved in cell growth and survival. On SSC7, two possible candidate genes for varTNB are located. The first gene is coding a swine heat shock protein 90 (HSPCB = Hsp90), which is a well-studied gene stabilizing morphological traits in Drosophila and Arabidopsis. The second gene is VEGFA, which is activated in angiogenesis and vasculogenesis in the fetus. Furthermore, the genetic correlation between additive genetic effects on TNB and on its variation was 0.49. This indicates that the current selection to increase TNB will also increase the varTNB.

conclusionsTo the best of our knowledge, this is the first study reporting SNPs associated with variation of a trait in pigs. Detected genomic regions associated with varTNB can be used in genomic selection to decrease varTNB, which is highly desirable to avoid very small or very large litters in pigs. However, the percentage of variance explained by those regions was small. The SNPs detected in this study can be used as indication for regions in the Sus scrofa genome involved in maintaining low variability of litter size, but further studies are needed to identify the causative loci.

Indexed as

Litter SizePolymorphism, Single NucleotideAnimalsBayes TheoremChromosomes, MammalianGenetic LociGenome-Wide Association StudyHSP90 Heat-Shock ProteinsLinear ModelsSus scrofaSwineVascular Endothelial Growth Factor AHSP90 Heat-Shock ProteinsVascular Endothelial Growth Factor A

Identifiers

PMID26652161
PMCPMC4674943
OpenAlexW2193966587

What OpenQuestion holds

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LicenceCC BY
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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.