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Whole‐genome methylome analysis reveals age‐related diabetes risk factors
This study provides a new perspective on the relationship between age‐related DNA methylation and insulin function. The hexokinase‐1 (HK1)’s methylation level in the whole blood can be considered as a potential biomarker for the risk of diabetes in healthy individuals. [Image: see text]
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418808/ https://www.ncbi.nlm.nih.gov/pubmed/32667725 http://dx.doi.org/10.1002/ctm2.93 |
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author | Hai, Luo Liu, Zongzhi Chen, Wei Qiao, Jie Sun, Yingli |
author_facet | Hai, Luo Liu, Zongzhi Chen, Wei Qiao, Jie Sun, Yingli |
author_sort | Hai, Luo |
collection | PubMed |
description | This study provides a new perspective on the relationship between age‐related DNA methylation and insulin function. The hexokinase‐1 (HK1)’s methylation level in the whole blood can be considered as a potential biomarker for the risk of diabetes in healthy individuals. [Image: see text] |
format | Online Article Text |
id | pubmed-7418808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74188082020-08-12 Whole‐genome methylome analysis reveals age‐related diabetes risk factors Hai, Luo Liu, Zongzhi Chen, Wei Qiao, Jie Sun, Yingli Clin Transl Med Letter to Editor This study provides a new perspective on the relationship between age‐related DNA methylation and insulin function. The hexokinase‐1 (HK1)’s methylation level in the whole blood can be considered as a potential biomarker for the risk of diabetes in healthy individuals. [Image: see text] John Wiley and Sons Inc. 2020-07-15 /pmc/articles/PMC7418808/ /pubmed/32667725 http://dx.doi.org/10.1002/ctm2.93 Text en © 2020 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Letter to Editor Hai, Luo Liu, Zongzhi Chen, Wei Qiao, Jie Sun, Yingli Whole‐genome methylome analysis reveals age‐related diabetes risk factors |
title | Whole‐genome methylome analysis reveals age‐related diabetes risk factors |
title_full | Whole‐genome methylome analysis reveals age‐related diabetes risk factors |
title_fullStr | Whole‐genome methylome analysis reveals age‐related diabetes risk factors |
title_full_unstemmed | Whole‐genome methylome analysis reveals age‐related diabetes risk factors |
title_short | Whole‐genome methylome analysis reveals age‐related diabetes risk factors |
title_sort | whole‐genome methylome analysis reveals age‐related diabetes risk factors |
topic | Letter to Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418808/ https://www.ncbi.nlm.nih.gov/pubmed/32667725 http://dx.doi.org/10.1002/ctm2.93 |
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