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Biomarkers for type 2 diabetes
BACKGROUND: The prevalence and incidence of type 2 diabetes (T2D), representing >90% of all cases of diabetes, are increasing rapidly worldwide. Identification of individuals at high risk of developing diabetes is of great importance as early interventions might delay or even prevent full-blown d...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Elsevier
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6768493/ https://www.ncbi.nlm.nih.gov/pubmed/31500825 http://dx.doi.org/10.1016/j.molmet.2019.06.016 |
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author | Laakso, Markku |
author_facet | Laakso, Markku |
author_sort | Laakso, Markku |
collection | PubMed |
description | BACKGROUND: The prevalence and incidence of type 2 diabetes (T2D), representing >90% of all cases of diabetes, are increasing rapidly worldwide. Identification of individuals at high risk of developing diabetes is of great importance as early interventions might delay or even prevent full-blown disease. T2D is a complex disease caused by multiple genetic loci in interplay with lifestyle and environmental factors. Recently over 400 distinct association signals were published; these explain 18% of the risk of T2D. SCOPE OF REVIEW: In this review there is a major focus on risk factors and genetic and non-genetic biomarkers for the risk of T2D identified especially in large prospective population-based studies, and studies testing causality of the biomarkers for T2D in Mendelian randomization studies. Another focus is on understanding genome-phenome interplay in the classification of individuals with T2D into subgroups. MAJOR CONCLUSIONS: Several recent large population-based studies and their meta-analyses have identified multiple potential genetic and non-genetic biomarkers for the risk of T2D. Combination of genetic variants and physiologically characterized pathways improves the classification of individuals with T2D into subgroups, and is also paving the way to a precision medicine approach, in T2D. |
format | Online Article Text |
id | pubmed-6768493 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-67684932019-10-07 Biomarkers for type 2 diabetes Laakso, Markku Mol Metab Review BACKGROUND: The prevalence and incidence of type 2 diabetes (T2D), representing >90% of all cases of diabetes, are increasing rapidly worldwide. Identification of individuals at high risk of developing diabetes is of great importance as early interventions might delay or even prevent full-blown disease. T2D is a complex disease caused by multiple genetic loci in interplay with lifestyle and environmental factors. Recently over 400 distinct association signals were published; these explain 18% of the risk of T2D. SCOPE OF REVIEW: In this review there is a major focus on risk factors and genetic and non-genetic biomarkers for the risk of T2D identified especially in large prospective population-based studies, and studies testing causality of the biomarkers for T2D in Mendelian randomization studies. Another focus is on understanding genome-phenome interplay in the classification of individuals with T2D into subgroups. MAJOR CONCLUSIONS: Several recent large population-based studies and their meta-analyses have identified multiple potential genetic and non-genetic biomarkers for the risk of T2D. Combination of genetic variants and physiologically characterized pathways improves the classification of individuals with T2D into subgroups, and is also paving the way to a precision medicine approach, in T2D. Elsevier 2019-09-06 /pmc/articles/PMC6768493/ /pubmed/31500825 http://dx.doi.org/10.1016/j.molmet.2019.06.016 Text en © 2019 Published by Elsevier GmbH. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Laakso, Markku Biomarkers for type 2 diabetes |
title | Biomarkers for type 2 diabetes |
title_full | Biomarkers for type 2 diabetes |
title_fullStr | Biomarkers for type 2 diabetes |
title_full_unstemmed | Biomarkers for type 2 diabetes |
title_short | Biomarkers for type 2 diabetes |
title_sort | biomarkers for type 2 diabetes |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6768493/ https://www.ncbi.nlm.nih.gov/pubmed/31500825 http://dx.doi.org/10.1016/j.molmet.2019.06.016 |
work_keys_str_mv | AT laaksomarkku biomarkersfortype2diabetes |