Evidence map›Paper›PMID 23922663›Full record

ArticlePloS one2013

QTL analysis of dietary obesity in C57BL/6byj X 129P3/J F2 mice: diet- and sex-dependent effects.

Cailu Lin, Maria L Theodorides, Amanda H McDaniel, Michael G Tordoff, Qinmin Zhang, Xia Li, Natalia Bosak, Alexander A Bachmanov, Danielle R Reed

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Genetics of mouse behavioral and peripheral neural responses to sucrose.Mammalian genome : official journal of the International Mammalian Genome Society · 2021
    Article
  6. Review
  7. 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
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

9 authors.

Cailu LinMonell Chemical Senses Center, Philadelphia Pennsylvania, USA.
Maria L Theodorides
Amanda H McDaniel
Michael G Tordoff
Qinmin Zhang
Xia Li
Natalia Bosak
Alexander A Bachmanov
Danielle R Reed

Funding

MODIFICATION OF SALT TASTER01DC000882 · NIDCD · MONELL CHEMICAL SENSES CENTER · PI BACHMANOV, ALEXANDER A · 1990 to 2013
$4.7M
MAPPING GENES FOR BODY WEIGHT AND FATNESS IN MICER01DK058797 · NIDDK · MONELL CHEMICAL SENSES CENTER · PI REED, DANIELLE RENEE · 2000 to 2013
$3.4M
Molecular BiologyP30DC011735 · NIDCD · MONELL CHEMICAL SENSES CENTER · PI BACHMANOV, ALEXANDER A · 2011 to 2015
$2.5M
GENOTYPING FOR LOCATING HUMAN DISEASE GENESN01HG065403 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID L · 1996 to 2000
$1.7M
GENETICS OF ALCOHOL RELATED INGESTIVE BEHAVIORS IN MICER01AA011028 · NIAAA · MONELL CHEMICAL SENSES CENTER · PI BACHMANOV, ALEXANDER A · 1997 to 2007
$1.5M
Fine mapping of mouse chr 2 for body composition genesR01DK094759 · NIDDK · MONELL CHEMICAL SENSES CENTER · PI REED, DANIELLE RENEE · 2011 to 2014
$1.2M
NHGRI NIH HHS N01 HG065403NIAAA NIH HHS AA011028NIAAA NIH HHS R01 AA011028NIDCD NIH HHS DC000882NIDCD NIH HHS P30 DC011735NIDCD NIH HHS R01 DC000882NIDDK NIH HHS DK058797NIDDK NIH HHS DK094759NIDDK NIH HHS R01 DK058797NIDDK NIH HHS R01 DK094759
6 · The paper itself

Abstract

Obesity is a heritable trait caused by complex interactions between genes and environment, including diet. Gene-by-diet interactions are difficult to study in humans because the human diet is hard to control. Here, we used mice to study dietary obesity genes, by four methods. First, we bred 213 F2 mice from strains that are susceptible [C57BL/6ByJ (B6)] or resistant [129P3/J (129)] to dietary obesity. Percent body fat was assessed after mice ate low-energy diet and again after the same mice ate high-energy diet for 8 weeks. Linkage analyses identified QTLs associated with dietary obesity. Three methods were used to filter candidate genes within the QTL regions: (a) association mapping was conducted using >40 strains; (b) differential gene expression and (c) comparison of genomic DNA sequence, using two strains closely related to the progenitor strains from Experiment 1. The QTL effects depended on whether the mice were male or female or which diet they were recently fed. After feeding a low-energy diet, percent body fat was linked to chr 7 (LOD=3.42). After feeding a high-energy diet, percent body fat was linked to chr 9 (Obq5; LOD=3.88), chr 12 (Obq34; LOD=3.88), and chr 17 (LOD=4.56). The Chr 7 and 12 QTLs were sex dependent and all QTL were diet-dependent. The combination of filtering methods highlighted seven candidate genes within the QTL locus boundaries: Crx, Dmpk, Ahr, Mrpl28, Glo1, Tubb5, and Mut. However, these filtering methods have limitations so gene identification will require alternative strategies, such as the construction of congenics with very small donor regions.

Indexed as

Crosses, GeneticSex CharacteristicsAdipose TissueAllelesAnimalsChromosome MappingChromosomes, MammalianDietFemaleGene Expression ProfilingGenetic Association StudiesGenetic LinkageGenomeGenotypeHumansMale

Identifiers

PMID23922663
PMCPMC3726688

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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.