Literature DB >> 20088816

Metabolic syndrome components in murine models.

Heather A Lawson1, James M Cheverud.   

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.

Entities:  

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Year:  2010        PMID: 20088816      PMCID: PMC2854879          DOI: 10.2174/187153010790827948

Source DB:  PubMed          Journal:  Endocr Metab Immune Disord Drug Targets        ISSN: 1871-5303            Impact factor:   2.895


  146 in total

1.  Genetic evidence for discordance between obesity- and diabetes-related traits in the LGXSM recombinant inbred mouse strains.

Authors:  James M Cheverud; Thomas H Ehrich; Jane P Kenney; L Susan Pletscher; Clay F Semenkovich
Journal:  Diabetes       Date:  2004-10       Impact factor: 9.461

2.  Potential etiologic and functional implications of genome-wide association loci for human diseases and traits.

Authors:  Lucia A Hindorff; Praveen Sethupathy; Heather A Junkins; Erin M Ramos; Jayashri P Mehta; Francis S Collins; Teri A Manolio
Journal:  Proc Natl Acad Sci U S A       Date:  2009-05-27       Impact factor: 11.205

3.  New target regions for human hypertension via comparative genomics.

Authors:  M Stoll; A E Kwitek-Black; A W Cowley; E L Harris; S B Harrap; J E Krieger; M P Printz; A P Provoost; J Sassard; H J Jacob
Journal:  Genome Res       Date:  2000-04       Impact factor: 9.043

4.  Concordance of murine quantitative trait loci for salt-induced hypertension with rat and human loci.

Authors:  F Sugiyama; G A Churchill; D C Higgins; C Johns; K P Makaritsis; H Gavras; B Paigen
Journal:  Genomics       Date:  2001-01-01       Impact factor: 5.736

5.  Multiple obesity QTLs identified in an intercross between the NZO (New Zealand obese) and the SM (small) mouse strains.

Authors:  B A Taylor; C Wnek; D Schroeder; S J Phillips
Journal:  Mamm Genome       Date:  2001-02       Impact factor: 2.957

6.  Quantitative trait loci for murine growth.

Authors:  J M Cheverud; E J Routman; F A Duarte; B van Swinderen; K Cothran; C Perel
Journal:  Genetics       Date:  1996-04       Impact factor: 4.562

7.  SORCS1: a novel human type 2 diabetes susceptibility gene suggested by the mouse.

Authors:  Mark O Goodarzi; Donna M Lehman; Kent D Taylor; Xiuqing Guo; Jinrui Cui; Manuel J Quiñones; Susanne M Clee; Brian S Yandell; John Blangero; Willa A Hsueh; Alan D Attie; Michael P Stern; Jerome I Rotter
Journal:  Diabetes       Date:  2007-04-10       Impact factor: 9.461

8.  Analysis of copy number variation in the rhesus macaque genome identifies candidate loci for evolutionary and human disease studies.

Authors:  Arthur S Lee; María Gutiérrez-Arcelus; George H Perry; Eric J Vallender; Welkin E Johnson; Gregory M Miller; Jan O Korbel; Charles Lee
Journal:  Hum Mol Genet       Date:  2008-01-07       Impact factor: 6.150

9.  Common body mass index-associated variants confer risk of extreme obesity.

Authors:  Chris Cotsapas; Elizabeth K Speliotes; Ida J Hatoum; Danielle M Greenawalt; Radu Dobrin; Pek Y Lum; Christine Suver; Eugene Chudin; Daniel Kemp; Marc Reitman; Benjamin F Voight; Benjamin M Neale; Eric E Schadt; Joel N Hirschhorn; Lee M Kaplan; Mark J Daly
Journal:  Hum Mol Genet       Date:  2009-06-24       Impact factor: 6.150

10.  GAD2 on chromosome 10p12 is a candidate gene for human obesity.

Authors:  Philippe Boutin; Christian Dina; Francis Vasseur; Séverine Dubois; Laetitia Corset; Karin Séron; Lynn Bekris; Janice Cabellon; Bernadette Neve; Valérie Vasseur-Delannoy; Mohamed Chikri; M Aline Charles; Karine Clement; Ake Lernmark; Philippe Froguel
Journal:  PLoS Biol       Date:  2003-11-03       Impact factor: 8.029

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  12 in total

1.  Obesity-insulin targeted genes in the 3p26-25 region in human studies and LG/J and SM/J mice.

Authors:  Aldi T Kraja; Heather A Lawson; Donna K Arnett; Ingrid B Borecki; Ulrich Broeckel; Lisa de las Fuentes; Steven C Hunt; Michael A Province; James Cheverud; D C Rao
Journal:  Metabolism       Date:  2012-03-03       Impact factor: 8.694

2.  A dysregulation in CES1, APOE and other lipid metabolism-related genes is associated to cardiovascular risk factors linked to obesity.

Authors:  M Pilar Marrades; Pedro González-Muniesa; J Alfredo Martínez; María J Moreno-Aliaga
Journal:  Obes Facts       Date:  2010-10-15       Impact factor: 3.942

Review 3.  Genetics of glucose homeostasis: implications for insulin resistance and metabolic syndrome.

Authors:  Jill M Norris; Stephen S Rich
Journal:  Arterioscler Thromb Vasc Biol       Date:  2012-09       Impact factor: 8.311

Review 4.  The genetics of obesity and the metabolic syndrome.

Authors:  Keri L Monda; Kari E North; Steven C Hunt; D C Rao; Michael A Province; Aldi T Kraja
Journal:  Endocr Metab Immune Disord Drug Targets       Date:  2010-06       Impact factor: 2.895

5.  Genetic, epigenetic, and gene-by-diet interaction effects underlie variation in serum lipids in a LG/JxSM/J murine model.

Authors:  Heather A Lawson; Kathleen M Zelle; 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
Journal:  J Lipid Res       Date:  2010-07-02       Impact factor: 5.922

6.  Genetic effects at pleiotropic loci are context-dependent with consequences for the maintenance of genetic variation in populations.

Authors:  Heather A Lawson; Janet E Cady; Charlyn Partridge; Jason B Wolf; Clay F Semenkovich; James M Cheverud
Journal:  PLoS Genet       Date:  2011-09-08       Impact factor: 5.917

7.  Dark matter: are mice the solution to missing heritability?

Authors:  Clarissa C Parker; Abraham A Palmer
Journal:  Front Genet       Date:  2011-06-13       Impact factor: 4.599

8.  Glucose dysregulation and response to common anti-diabetic agents in the FATZO/Pco mouse.

Authors:  Richard G Peterson; Charles Van Jackson; Karen M Zimmerman; Jorge Alsina-Fernandez; M Dodson Michael; Paul J Emmerson; Tamer Coskun
Journal:  PLoS One       Date:  2017-06-22       Impact factor: 3.240

9.  Genome wide association analysis in a mouse advanced intercross line.

Authors:  Natalia M Gonzales; Jungkyun Seo; Ana I Hernandez Cordero; Celine L St Pierre; Jennifer S Gregory; Margaret G Distler; Mark Abney; Stefan Canzar; Arimantas Lionikas; Abraham A Palmer
Journal:  Nat Commun       Date:  2018-12-04       Impact factor: 14.919

10.  Genetic background and diet affect brown adipose gene coexpression networks associated with metabolic phenotypes.

Authors:  Caryn Carson; Heather A Lawson
Journal:  Physiol Genomics       Date:  2020-04-27       Impact factor: 3.107

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