Evidence map›Paper›PMID 25503799›Full record

ArticlePloS one2014

A co-association network analysis of the genetic determination of pig conformation, growth and fatness.

Anna Puig-Oliveras, Maria Ballester, Jordi Corominas, Manuel Revilla, Jordi Estellé, Ana I Fernández, Yuliaxis Ramayo-Caldas, Josep M Folch

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. The Effect of Continuous Selection in KiwiCrossAnimals : an open access journal from MDPI · 2025
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  17. Genome-wide association study of carcass weight in commercial Hanwoo cattle.Asian-Australasian journal of animal sciences · 2018
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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

8 authors at 5 institutions in 2 countries.

Anna Puig-OliverasDepartament de Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Spain; Plant and Animal Genomics, Centre de Recerca en Agrigenòmica (CRAG), 08193, Bellaterra, Spain.
Maria BallesterDepartament de Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Spain; Plant and Animal Genomics, Centre de Recerca en Agrigenòmica (CRAG), 08193, Bellaterra, Spain.
Jordi CorominasDepartament de Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Spain; Plant and Animal Genomics, Centre de Recerca en Agrigenòmica (CRAG), 08193, Bellaterra, Spain.
Manuel RevillaDepartament de Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Spain; Plant and Animal Genomics, Centre de Recerca en Agrigenòmica (CRAG), 08193, Bellaterra, Spain.
Jordi EstelléGénétique Animale et Biologie Intégrative UMR1313 (GABI), Institut National de la Recherche Agronomique (INRA), 78350, Jouy-en-Josas, France; Génétique Animale et Biologie Intégrative UMR1313 (GABI), AgroParisTech, 78350, Jouy-en-Josas, France; Laboratoire de Radiobiologie et Etude du Génome (LREG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), 78350, Jouy-en-Josas, France.
Ana I FernándezDepartamento de Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), 28040, Madrid, Spain.
Yuliaxis Ramayo-CaldasDepartament de Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Spain; Plant and Animal Genomics, Centre de Recerca en Agrigenòmica (CRAG), 08193, Bellaterra, Spain; Génétique Animale et Biologie Intégrative UMR1313 (GABI), Institut National de la Recherche Agronomique (INRA), 78350, Jouy-en-Josas, France; Génétique Animale et Biologie Intégrative UMR1313 (GABI), AgroParisTech, 78350, Jouy-en-Josas, France; Laboratoire de Radiobiologie et Etude du Génome (LREG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), 78350, Jouy-en-Josas, France.
Josep M FolchDepartament de Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Spain; Plant and Animal Genomics, Centre de Recerca en Agrigenòmica (CRAG), 08193, Bellaterra, Spain.
Universitat Autònoma de Barcelona · ESCenter for Research in Agricultural Genomics · ESCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRGénétique Animale et Biologie Intégrative · FRInstituto Nacional de Investigación y Tecnología Agraria y Alimentaria · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral QTLs have been identified for major economically relevant traits in livestock, such as growth and meat quality, revealing the complex genetic architecture of these traits. The use of network approaches considering the interactions of multiple molecules and traits provides useful insights into the molecular underpinnings of complex traits. Here, a network based methodology, named Association Weight Matrix, was applied to study gene interactions and pathways affecting pig conformation, growth and fatness traits.

resultsThe co-association network analysis underpinned three transcription factors, PPARγ, ELF1, and PRDM16 involved in mesoderm tissue differentiation. Fifty-four genes in the network belonged to growth-related ontologies and 46 of them were common with a similar study for growth in cattle supporting our results. The functional analysis uncovered the lipid metabolism and the corticotrophin and gonadotrophin release hormone pathways among the most important pathways influencing these traits. Our results suggest that the genes and pathways here identified are important determining either the total body weight of the animal and the fat content. For instance, a switch in the mesoderm tissue differentiation may determinate the age-related preferred pathways being in the puberty stage those related with the miogenic and osteogenic lineages; on the contrary, in the maturity stage cells may be more prone to the adipocyte fate. Hence, our results demonstrate that an integrative genomic co-association analysis is a powerful approach for identifying new connections and interactions among genes.

conclusionsThis work provides insights about pathways and key regulators which may be important determining the animal growth, conformation and body proportions and fatness traits. Molecular information concerning genes and pathways here described may be crucial for the improvement of genetic breeding programs applied to pork meat production.

Indexed as

Epistasis, GeneticAnimalsBody WeightBreedingCattleGenomeLipid MetabolismMeatMetabolic Networks and PathwaysQuantitative Trait LociSwine

Identifiers

PMID25503799
PMCPMC4263716
OpenAlexW2148678593

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.