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Fine Mapping of Type 2 Diabetes Susceptibility Loci

Genome-wide association studies of type 2 diabetes have been extremely successful in discovering loci that contribute genetic effects to susceptibility to the disease. However, at the vast majority of these loci, the variants and transcripts through which these effects on type 2 diabetes are mediate...

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Detalles Bibliográficos
Autor principal: Morris, Andrew P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4169615/
https://www.ncbi.nlm.nih.gov/pubmed/25239271
http://dx.doi.org/10.1007/s11892-014-0549-2
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author Morris, Andrew P.
author_facet Morris, Andrew P.
author_sort Morris, Andrew P.
collection PubMed
description Genome-wide association studies of type 2 diabetes have been extremely successful in discovering loci that contribute genetic effects to susceptibility to the disease. However, at the vast majority of these loci, the variants and transcripts through which these effects on type 2 diabetes are mediated are unknown, limiting progress in defining the pathophysiological basis of the disease. In this review, we will describe available approaches for assaying genetic variation across loci and discuss statistical methods to determine the most likely causal variants in the region. We will consider the utility of trans-ethnic meta-analysis for fine mapping by leveraging the differences in the structure of linkage disequilibrium between diverse populations. Finally, we will discuss progress in fine-mapping type 2 diabetes susceptibility loci to date and consider the prospects for future efforts to localise causal variants for the disease.
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spelling pubmed-41696152014-09-23 Fine Mapping of Type 2 Diabetes Susceptibility Loci Morris, Andrew P. Curr Diab Rep Genetics (AP Morris, Section Editor) Genome-wide association studies of type 2 diabetes have been extremely successful in discovering loci that contribute genetic effects to susceptibility to the disease. However, at the vast majority of these loci, the variants and transcripts through which these effects on type 2 diabetes are mediated are unknown, limiting progress in defining the pathophysiological basis of the disease. In this review, we will describe available approaches for assaying genetic variation across loci and discuss statistical methods to determine the most likely causal variants in the region. We will consider the utility of trans-ethnic meta-analysis for fine mapping by leveraging the differences in the structure of linkage disequilibrium between diverse populations. Finally, we will discuss progress in fine-mapping type 2 diabetes susceptibility loci to date and consider the prospects for future efforts to localise causal variants for the disease. Springer US 2014-09-20 2014 /pmc/articles/PMC4169615/ /pubmed/25239271 http://dx.doi.org/10.1007/s11892-014-0549-2 Text en © The Author(s) 2014 https://creativecommons.org/licenses/by/4.0/ Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Genetics (AP Morris, Section Editor)
Morris, Andrew P.
Fine Mapping of Type 2 Diabetes Susceptibility Loci
title Fine Mapping of Type 2 Diabetes Susceptibility Loci
title_full Fine Mapping of Type 2 Diabetes Susceptibility Loci
title_fullStr Fine Mapping of Type 2 Diabetes Susceptibility Loci
title_full_unstemmed Fine Mapping of Type 2 Diabetes Susceptibility Loci
title_short Fine Mapping of Type 2 Diabetes Susceptibility Loci
title_sort fine mapping of type 2 diabetes susceptibility loci
topic Genetics (AP Morris, Section Editor)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4169615/
https://www.ncbi.nlm.nih.gov/pubmed/25239271
http://dx.doi.org/10.1007/s11892-014-0549-2
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