Evidence map›Paper›PMID 15058381›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2004

A large-sample QTL study in mice: II. Body composition.

Joao L Rocha, Eugene J Eisen, L Dale Van Vleck, Daniel Pomp

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
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  5. Burly1 is a mouse QTL for lean body mass that maps to a 0.8-Mb region of chromosome 2.Mammalian genome : official journal of the International Mammalian Genome Society · 2018
    Article
  6. Genome-wide association for testis weight in the diversity outbred mouse population.Mammalian genome : official journal of the International Mammalian Genome Society · 2018
    Article
  7. Quantitative trait mapping in Diversity Outbred mice identifies two genomic regions associated with heart size.Mammalian genome : official journal of the International Mammalian Genome Society · 2018
    Article
  8. Article
  9. Article
  10. Article
  11. Architecture of energy balance traits in emerging lines of the Collaborative Cross.American journal of physiology. Endocrinology and metabolism · 2011
    Article
  12. Article
  13. Congenic and bioinformatics analyses resolved a major-effect Fob3b QTL on mouse Chr 15 into two closely linked loci.Mammalian genome : official journal of the International Mammalian Genome Society · 2010
    Article
  14. Article
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  18. Genotype X diet interactions in mice predisposed to mammary cancer. I. Body weight and fat.Mammalian genome : official journal of the International Mammalian Genome Society · 2008
    Article
  19. Article
  20. Genetic loci affecting body weight and fatness in a C57BL/6J x PWK/PhJ mouse intercross.Mammalian genome : official journal of the International Mammalian Genome Society · 2007
    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

4 authors.

Joao L RochaDepartment of Animal Science, University of Nebraska, Lincoln, Nebraska 68583-0908, USA.
Eugene J Eisen
L Dale Van Vleck
Daniel Pomp

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using lines of mice having undergone long-term selection for high and low growth, a large-sample (n = approximately 1,000 F2) experiment was conducted to gain further understanding of the genetic architecture of complex polygenic traits. Composite interval mapping on data from male F2 mice (n = 552) detected 50 QTL on 15 chromosomes impacting weights of various organ and adipose subcomponents of growth, including heart, liver, kidney, spleen, testis, and subcutaneous and epididymal fat depots. Nearly all aggregate growth QTL could be interpreted in terms of the organ and fat subcomponents measured. More than 25% of QTL detected map to MMU2, accentuating the relevance of this chromosome to growth and fatness in the context of this cross. Regions of MMU7, 15, and 17 also emerged as important obesity "hot-spots." Average degrees of directional dominance are close to additivity, matching expectations for body composition traits. A strong QTL congruency is evident among heart, liver, kidney, and spleen weights. Liver and testis are organs whose genetic architectures are, respectively, most and least aligned with that for aggregate body weight. In this study, growth and body weight are interpreted in terms of organ subcomponents underlying the macro aggregate traits, and anchored on the corresponding genomic locations.

Indexed as

Body CompositionAnimalsBody Weights and MeasuresChromosome MappingCrosses, GeneticLikelihood FunctionsMaleMiceMice, Inbred StrainsMultifactorial InheritanceQuantitative Trait LociRegression Analysis

Identifiers

What Socratic holds

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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.