Evidence map›Paper›PMID 23515185›Full record

ArticleFrontiers in genetics2013

An f2 pig resource population as a model for genetic studies of obesity and obesity-related diseases in humans: design and genetic parameters.

Lisette J A Kogelman, Haja N Kadarmideen, Thomas Mark, Peter Karlskov-Mortensen, Camilla S Bruun, Susanna Cirera, Mette J Jacobsen, Claus B Jørgensen, Merete Fredholm

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 39 citations in OpenAlex.

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  11. A GWA study reveals genetic loci for body conformation traits in Chinese Laiwu pigs and its implications for human BMI.Mammalian genome : official journal of the International Mammalian Genome Society · 2016
    Article
  12. Hepatic expression of inflammatory genes and microRNAs in pigs with high "cholesteryl ester transfer protein" (CETP) activity.Mammalian genome : official journal of the International Mammalian Genome Society · 2016
    Article
  13. Article
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  15. Expression study of GLUT4 translocation-related genes in a porcine pre-diabetic model.Mammalian genome : official journal of the International Mammalian Genome Society · 2015
    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

9 authors at 1 institution in 1 country.

Lisette J A KogelmanDepartment of Veterinary Clinical and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen Copenhagen, Denmark.
Haja N Kadarmideen
Thomas Mark
Peter Karlskov-Mortensen
Camilla S Bruun
Susanna Cirera
Mette J Jacobsen
Claus B Jørgensen
Merete Fredholm
University of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a rising worldwide public health problem. Difficulties to precisely measure various obesity traits and the genetic heterogeneity in human have been major impediments to completely disentangle genetic factors causing obesity. The pig is a relevant model for studying human obesity and obesity-related (OOR) traits. Using founder breeds divergent with respect to obesity traits we have created an F2 pig resource population (454 pigs), which has been intensively phenotyped for 36 OOR traits. The main rationale for our study is to characterize the genetic architecture of OOR traits in the F2 pig design, by estimating heritabilities, genetic, and phenotypic correlations using mixed- and multi-trait BLUP animal models. Our analyses revealed high coefficients of variation (15-42%) and moderate to high heritabilities (0.22-0.81) in fatness traits, showing large phenotypic and genetic variation in the F2 population, respectively. This fulfills the purpose of creating a resource population divergent for OOR traits. Strong genetic correlations were found between weight and lean mass at dual-energy x-ray absorptiometry scanning (0.56-0.97). Weight and conformation also showed strong genetic correlations with slaughter traits (e.g., r g between abdominal circumference and leaf fat at slaughtering: 0.66). Genetic correlations between fat-related traits and the glucose level vary between 0.35 and 0.74 and show a strong correlation between adipose tissue and impaired glucose metabolism. Our power calculations showed a minimum of 80% power for QTL detection for all phenotypes. We revealed genetic correlations at population level, for the first time, for several difficult to measure and novel OOR traits and diseases. The results underpin the potential of the established F2 pig resource population for further genomic, systems genetics, and functional investigations to unravel the genetic background of OOR traits.

Indexed as

animal modeldiabetesF2 designgenetic correlationsgenetic predictionsheritabilitiesobesity

Identifiers

PMID23515185
PMCPMC3600696
OpenAlexW2147505399

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.