Evidence map›Paper›PMID 20088816›Full record

ReviewEndocrine, metabolic & immune disorders drug targets2010

Metabolic syndrome components in murine models.

Heather A Lawson, James M Cheverud

Open access · greenAbstract readComparative StudyReview
In one paragraph

Review in Endocrine, metabolic & immune disorders drug targets, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Article
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  6. Review
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  12. The genetics of obesity and the metabolic syndrome.Endocrine, metabolic & immune disorders drug targets · 2010
    Review
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

2 authors at 1 institution in 1 country.

Heather A LawsonThe Department of Anatomy and Neurobiology, Washington University School of Medicine in St Louis, MO, USA. lawsonh@pcg.wustl.edu
James M Cheverud
Washington University in St. Louis · US

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
GENETIC BASIS OF DIETARY OBESITY IN MICER56DK055736 · NIDDK · WASHINGTON UNIVERSITY · PI CHEVERUD, JAMES M · 2010 to 2010
$354k
NHLBI NIH HHS T32 HL091823NHLBI NIH HHS T32-HL091823NIDDK NIH HHS DK055736NIDDK NIH HHS P30 DK056341NIDDK NIH HHS R01 DK055736NIDDK NIH HHS R56 DK055736
6 · The paper itself

Abstract

Animal models have enriched understanding of the physiological basis of metabolic disorders and advanced identification of genetic risk factors underlying the metabolic syndrome (MetS). Murine models are especially appropriate for this type of research, and are an excellent resource not only for identifying candidate genomic regions, but also for illuminating the possible molecular mechanisms or pathways affected in individual components of MetS. In this review, we briefly discuss findings from mouse models of metabolic disorders, particularly in light of issues raised by the recent flood of human genome-wide association studies (GWAS) results. We describe how mouse models are revealing that genotype interacts with environment in important ways, indicating that the underlying genetics of MetS is highly context dependant. Further we show that epistasis, imprinting and maternal effects each contribute to the genetic architecture underlying variation in metabolic traits, and mouse models provide an opportunity to dissect these aspects of the genetic architecture that are difficult if not impossible to ascertain in humans. Finally we discuss how knowledge gained from mouse models can be used in conjunction with comparative genomic methods and bioinformatic resources to inform human MetS research.

Indexed as

Disease Models, AnimalAnimalsComputational BiologyDietEpistasis, GeneticFemaleGenome-Wide Association StudyGenomic ImprintingGenomicsHumansMaleMaternal Nutritional Physiological PhenomenaMetabolic SyndromeMiceSex Characteristics

Identifiers

PMID20088816
PMCPMC2854879
OpenAlexW1982242511

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.