Literature DB >> 9519558

Genetic dissection of obesity in polygenic animal models.

D Pomp1.   

Abstract

In contrast to diseases caused by single-gene defects, many of the most common human maladies such as obesity, atherosclerosis, diabetes, and hypertension exhibit continuous phenotypic variation and a predominantly multifactorial and polygenic basis. Genes with roles in energy balance, nutrient partitioning, lipid and insulin metabolism, and a variety of behavioral traits are likely interacting with environmental stimuli to regulate obesity phenotypes. With the current proliferation of highly polymorphic genetic markers and the refinement of experimental approaches, it is now possible to screen thoroughly the genomes of model organisms for the individual genes or quantitative trait loci (QTL) that control measurable polygenic traits such as obesity. With the growing wealth of comparative mapping, it will be possible to predict the location of a homologous locus in the human after first mapping it in the mouse. Many experiments have been conducted in mice, rats, and pigs to estimate the number, location, and effect of QTL controlling obesity and related traits. This review describes the design and strategies of such studies and summarizes the results and their implications toward understanding the complex nature of obesity in humans.

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Year:  1997        PMID: 9519558     DOI: 10.1023/a:1025631813018

Source DB:  PubMed          Journal:  Behav Genet        ISSN: 0001-8244            Impact factor:   2.805


  14 in total

1.  A genomewide linkage scan for quantitative-trait loci for obesity phenotypes.

Authors:  Hong-Wen Deng; Hongyi Deng; Yong-Jun Liu; Yao-Zhong Liu; Fu-Hua Xu; Hui Shen; Theresa Conway; Jin-Long Li; Qing-Yang Huang; K M Davies; Robert R Recker
Journal:  Am J Hum Genet       Date:  2002-03-28       Impact factor: 11.025

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

Authors:  Joao L Rocha; Eugene J Eisen; L Dale Van Vleck; Daniel Pomp
Journal:  Mamm Genome       Date:  2004-02       Impact factor: 2.957

3.  A large-sample QTL study in mice: I. Growth.

Authors:  Joao L Rocha; Eugene J Eisen; L Dale Van Vleck; Daniel Pomp
Journal:  Mamm Genome       Date:  2004-02       Impact factor: 2.957

4.  A large-sample QTL study in mice: III. Reproduction.

Authors:  Joao L Rocha; Eugene J Eisen; Frank Siewerdt; L Dale Van Vleck; Daniel Pomp
Journal:  Mamm Genome       Date:  2004-11       Impact factor: 2.957

5.  Genomic mapping of direct and correlated responses to long-term selection for rapid growth rate in mice.

Authors:  Mark F Allan; Eugene J Eisen; Daniel Pomp
Journal:  Genetics       Date:  2005-06-08       Impact factor: 4.562

6.  Bayesian analyses of multiple epistatic QTL models for body weight and body composition in mice.

Authors:  Nengjun Yi; Denise K Zinniel; Kyoungmi Kim; Eugene J Eisen; Alfred Bartolucci; David B Allison; Daniel Pomp
Journal:  Genet Res       Date:  2006-02       Impact factor: 1.588

7.  Genome scan for human obesity and linkage to markers in 20q13.

Authors:  J H Lee; D R Reed; W D Li; W Xu; E J Joo; R L Kilker; E Nanthakumar; M North; H Sakul; C Bell; R A Price
Journal:  Am J Hum Genet       Date:  1999-01       Impact factor: 11.025

8.  Identification of quantitative trait loci influencing traits related to energy balance in selection and inbred lines of mice.

Authors:  D E Moody; D Pomp; M K Nielsen; L D Van Vleck
Journal:  Genetics       Date:  1999-06       Impact factor: 4.562

9.  Reduced aldehyde dehydrogenase activity and arginine vasopressin receptor 2 expression in the kidneys of male TALLYHO/JngJ mice of prediabetic age.

Authors:  Noriko Nakamura
Journal:  Endocrine       Date:  2011-08-31       Impact factor: 3.633

Review 10.  Genes for left ventricular hypertrophy.

Authors:  Donna K Arnett; Lisa de las Fuentes; Ulrich Broeckel
Journal:  Curr Hypertens Rep       Date:  2004-02       Impact factor: 5.369

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