Mouse models and the interpretation of human GWAS in type 2 diabetes and obesity

Within the last 3 years, genome-wide association studies (GWAS) have had unprecedented success in identifying loci that are involved in common diseases. For example, more than 35 susceptibility loci have been identified for type 2 diabetes and 32 for obesity thus far. However, the causal gene and va...

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Main Authors: Roger D. Cox, Christopher D. Church
Format: Article
Language:English
Published: The Company of Biologists 2011-03-01
Series:Disease Models & Mechanisms
Online Access:http://dmm.biologists.org/content/4/2/155
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spelling doaj-d8c1c0cefc034e0cadc0c7a3df1e28af2020-11-25T00:17:04ZengThe Company of BiologistsDisease Models & Mechanisms1754-84031754-84112011-03-014215516410.1242/dmm.000414000414Mouse models and the interpretation of human GWAS in type 2 diabetes and obesityRoger D. CoxChristopher D. ChurchWithin the last 3 years, genome-wide association studies (GWAS) have had unprecedented success in identifying loci that are involved in common diseases. For example, more than 35 susceptibility loci have been identified for type 2 diabetes and 32 for obesity thus far. However, the causal gene and variant at a specific linkage disequilibrium block is often unclear. Using a combination of different mouse alleles, we can greatly facilitate the understanding of which candidate gene at a particular disease locus is associated with the disease in humans, and also provide functional analysis of variants through an allelic series, including analysis of hypomorph and hypermorph point mutations, and knockout and overexpression alleles. The phenotyping of these alleles for specific traits of interest, in combination with the functional analysis of the genetic variants, may reveal the molecular and cellular mechanism of action of these disease variants, and ultimately lead to the identification of novel therapeutic strategies for common human diseases. In this Commentary, we discuss the progress of GWAS in identifying common disease loci for metabolic disease, and the use of the mouse as a model to confirm candidate genes and provide mechanistic insights.http://dmm.biologists.org/content/4/2/155
collection DOAJ
language English
format Article
sources DOAJ
author Roger D. Cox
Christopher D. Church
spellingShingle Roger D. Cox
Christopher D. Church
Mouse models and the interpretation of human GWAS in type 2 diabetes and obesity
Disease Models & Mechanisms
author_facet Roger D. Cox
Christopher D. Church
author_sort Roger D. Cox
title Mouse models and the interpretation of human GWAS in type 2 diabetes and obesity
title_short Mouse models and the interpretation of human GWAS in type 2 diabetes and obesity
title_full Mouse models and the interpretation of human GWAS in type 2 diabetes and obesity
title_fullStr Mouse models and the interpretation of human GWAS in type 2 diabetes and obesity
title_full_unstemmed Mouse models and the interpretation of human GWAS in type 2 diabetes and obesity
title_sort mouse models and the interpretation of human gwas in type 2 diabetes and obesity
publisher The Company of Biologists
series Disease Models & Mechanisms
issn 1754-8403
1754-8411
publishDate 2011-03-01
description Within the last 3 years, genome-wide association studies (GWAS) have had unprecedented success in identifying loci that are involved in common diseases. For example, more than 35 susceptibility loci have been identified for type 2 diabetes and 32 for obesity thus far. However, the causal gene and variant at a specific linkage disequilibrium block is often unclear. Using a combination of different mouse alleles, we can greatly facilitate the understanding of which candidate gene at a particular disease locus is associated with the disease in humans, and also provide functional analysis of variants through an allelic series, including analysis of hypomorph and hypermorph point mutations, and knockout and overexpression alleles. The phenotyping of these alleles for specific traits of interest, in combination with the functional analysis of the genetic variants, may reveal the molecular and cellular mechanism of action of these disease variants, and ultimately lead to the identification of novel therapeutic strategies for common human diseases. In this Commentary, we discuss the progress of GWAS in identifying common disease loci for metabolic disease, and the use of the mouse as a model to confirm candidate genes and provide mechanistic insights.
url http://dmm.biologists.org/content/4/2/155
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