Evidence map›Paper›PMID 21210123›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2011

The importance of context to the genetic architecture of diabetes-related traits is revealed in a genome-wide scan of a LG/J × SM/J murine model.

Heather A Lawson, Arthur Lee, Gloria L Fawcett, Bing Wang, L Susan Pletscher, Taylor J Maxwell, Thomas H Ehrich, Jane P Kenney-Hunt, Jason B Wolf, Clay F Semenkovich and 1 more

Abstract read
In one paragraph

Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

24 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  8. Effects of High-Fat Diet and Body Mass on Bone Morphology and Mechanical Properties in 1100 Advanced Intercross Mice.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2019
    Article
  9. Using Heterogeneous Stocks for Fine-Mapping Genetically Complex Traits.Methods in molecular biology (Clifton, N.J.) · 2019
    Review
  10. Article
  11. Reducing insulin via conditional partial gene ablation in adults reverses diet-induced weight gain.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2018
    Article
  12. Article
  13. Fine-mapping QTLs in advanced intercross lines and other outbred populations.Mammalian genome : official journal of the International Mammalian Genome Society · 2014
    Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. QTLs for murine red blood cell parameters in LG/J and SM/J F(2) and advanced intercross lines.Mammalian genome : official journal of the International Mammalian Genome Society · 2012
    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

11 authors at 3 institutions in 2 countries.

Heather A LawsonDepartment of Anatomy & Neurobiology, Washington University School of Medicine, 3820 North Building, Campus Box 8108, St. Louis, MO 63110, USA. lawsonh@pcg.wustl.edu
Arthur Lee
Gloria L Fawcett
Bing Wang
L Susan Pletscher
Taylor J Maxwell
Thomas H Ehrich
Jane P Kenney-Hunt
Jason B Wolf
Clay F Semenkovich
James M Cheverud
Washington University in St. Louis · USThe University of Texas Health Science Center at Houston · USUniversity of Bath · GB

Funding

Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 1999 to 2026
$30.2M
Genetics Basis of Dietary Obesity in MiceR01DK055736 · NIDDK · WASHINGTON UNIVERSITY · PI CHEVERUD, JAMES M · 2000 to 2009
$2.1M
Post-Doctoral Research Training in Genetic EpidemiologyT32HL091823 · NHLBI · WASHINGTON UNIVERSITY · PI RAO, DABEERU C · 2008 to 2017
$2.1M
OBESITY, ADIPOGENESIS, AND LIPID LIGANDSR01DK088083 · NIDDK · WASHINGTON UNIVERSITY · PI SEMENKOVICH, CLAY F. · 2010 to 2013
$1.3M
Biotechnology and Biological Sciences Research Council BB/C/516936Biotechnology and Biological Sciences Research Council BB/C516936/1NHLBI NIH HHS T32 HL091823NHLBI NIH HHS T32-HL091823NIDDK NIH HHS P30 DK056341NIDDK NIH HHS R01 DK055736NIDDK NIH HHS R01 DK088083
6 · The paper itself

Abstract

Variations in diabetic phenotypes are caused by complex interactions of genetic effects, environmental factors, and the interplay between the two. We tease apart these complex interactions by examining genome-wide genetic and epigenetic effects on diabetes-related traits among different sex, diet, and sex-by-diet cohorts in a Mus musculus model. We conducted a genome-wide scan for quantitative trait loci that affect serum glucose and insulin levels and response to glucose stress in an F(16) Advanced Intercross Line of the LG/J and SM/J intercross (Wustl:LG,SM-G16). Half of each sibship was fed a high-fat diet and half was fed a relatively low-fat diet. Context-dependent genetic (additive and dominance) and epigenetic (parent-of-origin imprinting) effects were characterized by partitioning animals into sex, diet, and sex-by-diet cohorts. We found that different cohorts often have unique genetic effects at the same loci, and that genetic signals can be masked or erroneously assigned to specific cohorts if they are not considered individually. Our data demonstrate that the effects of genes on complex trait variation are highly context-dependent and that the same genomic sequence can affect traits differently depending on an individual's sex and/or dietary environment. Our results have important implications for studies of complex traits in humans.

Indexed as

Disease Models, AnimalGenome-Wide Association StudyMiceQuantitative Trait LociAnimalsAnimals, Outbred StrainsBlood GlucoseDiabetes Mellitus, Type 2FemaleHumansHybridization, GeneticInsulinMaleBlood GlucoseInsulin

Identifiers

PMID21210123
PMCPMC3650899
OpenAlexW1982810064

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.