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Implications of publicly available genomic data resources in searching for therapeutic targets of obesity and type 2 diabetes

Obesity and type 2 diabetes (T2D) are two major conditions that are related to metabolic disorders and affect a large population. Although there have been significant efforts to identify their therapeutic targets, few benefits have come from comprehensive molecular profiling. This limited availabili...

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Autor principal: Jung, Sungwon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5938056/
https://www.ncbi.nlm.nih.gov/pubmed/29674722
http://dx.doi.org/10.1038/s12276-018-0066-5
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author Jung, Sungwon
author_facet Jung, Sungwon
author_sort Jung, Sungwon
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description Obesity and type 2 diabetes (T2D) are two major conditions that are related to metabolic disorders and affect a large population. Although there have been significant efforts to identify their therapeutic targets, few benefits have come from comprehensive molecular profiling. This limited availability of comprehensive molecular profiling of obesity and T2D may be due to multiple challenges, as these conditions involve multiple organs and collecting tissue samples from subjects is more difficult in obesity and T2D than in other diseases, where surgical treatments are popular choices. While there is no repository of comprehensive molecular profiling data for obesity and T2D, multiple existing data resources can be utilized to cover various aspects of these conditions. This review presents studies with available genomic data resources for obesity and T2D and discusses genome-wide association studies (GWAS), a knockout (KO)-based phenotyping study, and gene expression profiles. These studies, based on their assessed coverage and characteristics, can provide insights into how such data can be utilized to identify therapeutic targets for obesity and T2D.
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spelling pubmed-59380562018-05-15 Implications of publicly available genomic data resources in searching for therapeutic targets of obesity and type 2 diabetes Jung, Sungwon Exp Mol Med Review Article Obesity and type 2 diabetes (T2D) are two major conditions that are related to metabolic disorders and affect a large population. Although there have been significant efforts to identify their therapeutic targets, few benefits have come from comprehensive molecular profiling. This limited availability of comprehensive molecular profiling of obesity and T2D may be due to multiple challenges, as these conditions involve multiple organs and collecting tissue samples from subjects is more difficult in obesity and T2D than in other diseases, where surgical treatments are popular choices. While there is no repository of comprehensive molecular profiling data for obesity and T2D, multiple existing data resources can be utilized to cover various aspects of these conditions. This review presents studies with available genomic data resources for obesity and T2D and discusses genome-wide association studies (GWAS), a knockout (KO)-based phenotyping study, and gene expression profiles. These studies, based on their assessed coverage and characteristics, can provide insights into how such data can be utilized to identify therapeutic targets for obesity and T2D. Nature Publishing Group UK 2018-04-20 /pmc/articles/PMC5938056/ /pubmed/29674722 http://dx.doi.org/10.1038/s12276-018-0066-5 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, and provide a link to the Creative Commons license. You do not have permission under this license to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, http://creativecommons.org/licenses/by-nc-nd/4.0/.
spellingShingle Review Article
Jung, Sungwon
Implications of publicly available genomic data resources in searching for therapeutic targets of obesity and type 2 diabetes
title Implications of publicly available genomic data resources in searching for therapeutic targets of obesity and type 2 diabetes
title_full Implications of publicly available genomic data resources in searching for therapeutic targets of obesity and type 2 diabetes
title_fullStr Implications of publicly available genomic data resources in searching for therapeutic targets of obesity and type 2 diabetes
title_full_unstemmed Implications of publicly available genomic data resources in searching for therapeutic targets of obesity and type 2 diabetes
title_short Implications of publicly available genomic data resources in searching for therapeutic targets of obesity and type 2 diabetes
title_sort implications of publicly available genomic data resources in searching for therapeutic targets of obesity and type 2 diabetes
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5938056/
https://www.ncbi.nlm.nih.gov/pubmed/29674722
http://dx.doi.org/10.1038/s12276-018-0066-5
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