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DNA Methylation and Type 2 Diabetes: the Use of Mendelian Randomization to Assess Causality
PURPOSE OF REVIEW: This review summarises recent advances in the field of epigenetics in order to understand the aetiology of type 2 diabetes (T2D). RECENT FINDINGS: DNA methylation at a number of loci has been shown to be robustly associated with T2D, including TXNIP, ABCG1, CPT1A, and SREBF1. Howe...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145450/ https://www.ncbi.nlm.nih.gov/pubmed/32274260 http://dx.doi.org/10.1007/s40142-019-00176-5 |
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author | Juvinao-Quintero, Diana L. Hivert, Marie-France Sharp, Gemma C. Relton, Caroline L. Elliott, Hannah R. |
author_facet | Juvinao-Quintero, Diana L. Hivert, Marie-France Sharp, Gemma C. Relton, Caroline L. Elliott, Hannah R. |
author_sort | Juvinao-Quintero, Diana L. |
collection | PubMed |
description | PURPOSE OF REVIEW: This review summarises recent advances in the field of epigenetics in order to understand the aetiology of type 2 diabetes (T2D). RECENT FINDINGS: DNA methylation at a number of loci has been shown to be robustly associated with T2D, including TXNIP, ABCG1, CPT1A, and SREBF1. However, due to the cross-sectional nature of many epidemiological studies and predominant analysis in samples derived from blood rather than disease relevant tissues, inferring causality is difficult. We therefore outline the use of Mendelian randomisation (MR) as one method able to assess causality in epigenetic studies of T2D. SUMMARY: Epidemiological studies have been fruitful in identifying epigenetic markers of T2D. Triangulation of evidence including utilisation of MR is essential to delineate causal from non-causal biomarkers of disease. Understanding the causality of epigenetic markers in T2D more fully will aid prioritisation of CpG sites as early biomarkers to detect disease or in drug development to target epigenetic mechanisms in order to treat patients. |
format | Online Article Text |
id | pubmed-7145450 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71454502020-04-09 DNA Methylation and Type 2 Diabetes: the Use of Mendelian Randomization to Assess Causality Juvinao-Quintero, Diana L. Hivert, Marie-France Sharp, Gemma C. Relton, Caroline L. Elliott, Hannah R. Curr Genet Med Rep Article PURPOSE OF REVIEW: This review summarises recent advances in the field of epigenetics in order to understand the aetiology of type 2 diabetes (T2D). RECENT FINDINGS: DNA methylation at a number of loci has been shown to be robustly associated with T2D, including TXNIP, ABCG1, CPT1A, and SREBF1. However, due to the cross-sectional nature of many epidemiological studies and predominant analysis in samples derived from blood rather than disease relevant tissues, inferring causality is difficult. We therefore outline the use of Mendelian randomisation (MR) as one method able to assess causality in epigenetic studies of T2D. SUMMARY: Epidemiological studies have been fruitful in identifying epigenetic markers of T2D. Triangulation of evidence including utilisation of MR is essential to delineate causal from non-causal biomarkers of disease. Understanding the causality of epigenetic markers in T2D more fully will aid prioritisation of CpG sites as early biomarkers to detect disease or in drug development to target epigenetic mechanisms in order to treat patients. 2019-11-15 2019-12 /pmc/articles/PMC7145450/ /pubmed/32274260 http://dx.doi.org/10.1007/s40142-019-00176-5 Text en http://creativecommons.org/licenses/by/4.0/ Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Juvinao-Quintero, Diana L. Hivert, Marie-France Sharp, Gemma C. Relton, Caroline L. Elliott, Hannah R. DNA Methylation and Type 2 Diabetes: the Use of Mendelian Randomization to Assess Causality |
title | DNA Methylation and Type 2 Diabetes: the Use of Mendelian Randomization to Assess Causality |
title_full | DNA Methylation and Type 2 Diabetes: the Use of Mendelian Randomization to Assess Causality |
title_fullStr | DNA Methylation and Type 2 Diabetes: the Use of Mendelian Randomization to Assess Causality |
title_full_unstemmed | DNA Methylation and Type 2 Diabetes: the Use of Mendelian Randomization to Assess Causality |
title_short | DNA Methylation and Type 2 Diabetes: the Use of Mendelian Randomization to Assess Causality |
title_sort | dna methylation and type 2 diabetes: the use of mendelian randomization to assess causality |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145450/ https://www.ncbi.nlm.nih.gov/pubmed/32274260 http://dx.doi.org/10.1007/s40142-019-00176-5 |
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