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What’s in a name? Context-dependent significance of ‘global’ methylation measures in human health and disease

The study of DNA methylation in development and disease has ‘exploded’ as a field in recent years, with three major classes of measurement now routine. These encompass (i) locus-specific, (ii) genome-scale/wide and (iii) ‘global’ methylation approaches. Measures of global methylation refer to the le...

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Autores principales: Vryer, Regan, Saffery, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5270354/
https://www.ncbi.nlm.nih.gov/pubmed/28149330
http://dx.doi.org/10.1186/s13148-017-0311-0
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author Vryer, Regan
Saffery, Richard
author_facet Vryer, Regan
Saffery, Richard
author_sort Vryer, Regan
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description The study of DNA methylation in development and disease has ‘exploded’ as a field in recent years, with three major classes of measurement now routine. These encompass (i) locus-specific, (ii) genome-scale/wide and (iii) ‘global’ methylation approaches. Measures of global methylation refer to the level of 5-methylcytosine (5mC) content in a sample relative to total cytosine. Despite this, several other measures are often referred to as ‘global’, with the underlying assumption that they accurately reflect 5mC content. The two most common surrogate, or proxy, measures include generating a mean or median methylation value from (i) the average measure in thousands of highly repetitive genomic elements and (ii) many thousands to several million primarily unique CpG sites throughout the genome. Numerous lines of evidence suggest the underlying assumption of equivalence of these measures is flawed, with considerable variation in the regulation of different ‘flavours’ of DNA methylation throughout the genome depending on cell type, differentiation and disease state. As such, the regulation of methylation ‘types’ is often uncoupled. The emerging picture suggests that no approach can accurately detect all biologically important differences in 5mC variation and distribution in all instances, with this needing to be ascertained on a case-by-case basis. Thus, it is important to clearly elaborate the genomic context and content of DNA methylation being analysed, the sample and developmental stage in which it is being examined and to remember that in most instances, the most common measures are not a true representation of ‘global’ 5mC content as orginally defined.
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spelling pubmed-52703542017-02-01 What’s in a name? Context-dependent significance of ‘global’ methylation measures in human health and disease Vryer, Regan Saffery, Richard Clin Epigenetics Letter to the Editor The study of DNA methylation in development and disease has ‘exploded’ as a field in recent years, with three major classes of measurement now routine. These encompass (i) locus-specific, (ii) genome-scale/wide and (iii) ‘global’ methylation approaches. Measures of global methylation refer to the level of 5-methylcytosine (5mC) content in a sample relative to total cytosine. Despite this, several other measures are often referred to as ‘global’, with the underlying assumption that they accurately reflect 5mC content. The two most common surrogate, or proxy, measures include generating a mean or median methylation value from (i) the average measure in thousands of highly repetitive genomic elements and (ii) many thousands to several million primarily unique CpG sites throughout the genome. Numerous lines of evidence suggest the underlying assumption of equivalence of these measures is flawed, with considerable variation in the regulation of different ‘flavours’ of DNA methylation throughout the genome depending on cell type, differentiation and disease state. As such, the regulation of methylation ‘types’ is often uncoupled. The emerging picture suggests that no approach can accurately detect all biologically important differences in 5mC variation and distribution in all instances, with this needing to be ascertained on a case-by-case basis. Thus, it is important to clearly elaborate the genomic context and content of DNA methylation being analysed, the sample and developmental stage in which it is being examined and to remember that in most instances, the most common measures are not a true representation of ‘global’ 5mC content as orginally defined. BioMed Central 2017-01-13 /pmc/articles/PMC5270354/ /pubmed/28149330 http://dx.doi.org/10.1186/s13148-017-0311-0 Text en © The Author(s). 2017 Open AccessThis 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Letter to the Editor
Vryer, Regan
Saffery, Richard
What’s in a name? Context-dependent significance of ‘global’ methylation measures in human health and disease
title What’s in a name? Context-dependent significance of ‘global’ methylation measures in human health and disease
title_full What’s in a name? Context-dependent significance of ‘global’ methylation measures in human health and disease
title_fullStr What’s in a name? Context-dependent significance of ‘global’ methylation measures in human health and disease
title_full_unstemmed What’s in a name? Context-dependent significance of ‘global’ methylation measures in human health and disease
title_short What’s in a name? Context-dependent significance of ‘global’ methylation measures in human health and disease
title_sort what’s in a name? context-dependent significance of ‘global’ methylation measures in human health and disease
topic Letter to the Editor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5270354/
https://www.ncbi.nlm.nih.gov/pubmed/28149330
http://dx.doi.org/10.1186/s13148-017-0311-0
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