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Type 1 diabetes genome-wide association studies: not to be lost in translation

Genetic studies have identified >60 loci associated with the risk of developing type 1 diabetes (T1D). The vast majority of these are identified by genome-wide association studies (GWAS) using large case–control cohorts of European ancestry. More than 80% of the heritability of T1D can be explain...

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Autor principal: Pociot, Flemming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5750451/
https://www.ncbi.nlm.nih.gov/pubmed/29333267
http://dx.doi.org/10.1038/cti.2017.51
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author Pociot, Flemming
author_facet Pociot, Flemming
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description Genetic studies have identified >60 loci associated with the risk of developing type 1 diabetes (T1D). The vast majority of these are identified by genome-wide association studies (GWAS) using large case–control cohorts of European ancestry. More than 80% of the heritability of T1D can be explained by GWAS data in this population group. However, with few exceptions, their individual contribution to T1D risk is low and understanding their function in disease biology remains a huge challenge. GWAS on its own does not inform us in detail on disease mechanisms, but the combination of GWAS data with other omics-data is beginning to advance our understanding of T1D etiology and pathogenesis. Current knowledge supports the notion that genetic variation in both pancreatic β cells and in immune cells is central in mediating T1D risk. Advances, perspectives and limitations of GWAS are discussed in this review.
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spelling pubmed-57504512018-01-13 Type 1 diabetes genome-wide association studies: not to be lost in translation Pociot, Flemming Clin Transl Immunology Review Genetic studies have identified >60 loci associated with the risk of developing type 1 diabetes (T1D). The vast majority of these are identified by genome-wide association studies (GWAS) using large case–control cohorts of European ancestry. More than 80% of the heritability of T1D can be explained by GWAS data in this population group. However, with few exceptions, their individual contribution to T1D risk is low and understanding their function in disease biology remains a huge challenge. GWAS on its own does not inform us in detail on disease mechanisms, but the combination of GWAS data with other omics-data is beginning to advance our understanding of T1D etiology and pathogenesis. Current knowledge supports the notion that genetic variation in both pancreatic β cells and in immune cells is central in mediating T1D risk. Advances, perspectives and limitations of GWAS are discussed in this review. Nature Publishing Group 2017-12-01 /pmc/articles/PMC5750451/ /pubmed/29333267 http://dx.doi.org/10.1038/cti.2017.51 Text en Copyright © 2017 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/
spellingShingle Review
Pociot, Flemming
Type 1 diabetes genome-wide association studies: not to be lost in translation
title Type 1 diabetes genome-wide association studies: not to be lost in translation
title_full Type 1 diabetes genome-wide association studies: not to be lost in translation
title_fullStr Type 1 diabetes genome-wide association studies: not to be lost in translation
title_full_unstemmed Type 1 diabetes genome-wide association studies: not to be lost in translation
title_short Type 1 diabetes genome-wide association studies: not to be lost in translation
title_sort type 1 diabetes genome-wide association studies: not to be lost in translation
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5750451/
https://www.ncbi.nlm.nih.gov/pubmed/29333267
http://dx.doi.org/10.1038/cti.2017.51
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