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Disagreement between two common biomarkers of global DNA methylation

BACKGROUND: The quantification of global DNA methylation has been established in epigenetic screening. As more practicable alternatives to the HPLC-based gold standard, the methylation analysis of CpG islands in repeatable elements (LINE-1) and the luminometric methylation assay (LUMA) of overall 5-...

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Autores principales: Knothe, Claudia, Shiratori, Hiromi, Resch, Eduard, Ultsch, Alfred, Geisslinger, Gerd, Doehring, Alexandra, Lötsch, Jörn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4877994/
https://www.ncbi.nlm.nih.gov/pubmed/27222668
http://dx.doi.org/10.1186/s13148-016-0227-0
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author Knothe, Claudia
Shiratori, Hiromi
Resch, Eduard
Ultsch, Alfred
Geisslinger, Gerd
Doehring, Alexandra
Lötsch, Jörn
author_facet Knothe, Claudia
Shiratori, Hiromi
Resch, Eduard
Ultsch, Alfred
Geisslinger, Gerd
Doehring, Alexandra
Lötsch, Jörn
author_sort Knothe, Claudia
collection PubMed
description BACKGROUND: The quantification of global DNA methylation has been established in epigenetic screening. As more practicable alternatives to the HPLC-based gold standard, the methylation analysis of CpG islands in repeatable elements (LINE-1) and the luminometric methylation assay (LUMA) of overall 5-methylcytosine content in “CCGG” recognition sites are most widely used. Both methods are applied as virtually equivalent, despite the hints that their results only partly agree. This triggered the present agreement assessments. RESULTS: Three different human cell types (cultured MCF7 and SHSY5Y cell lines treated with different chemical modulators of DNA methylation and whole blood drawn from pain patients and healthy volunteers) were submitted to the global DNA methylation assays employing LINE-1 or LUMA-based pyrosequencing measurements. The agreement between the two bioassays was assessed using generally accepted approaches to the statistics for laboratory method comparison studies. Although global DNA methylation levels measured by the two methods correlated, five different lines of statistical evidence consistently rejected the assumption of complete agreement. Specifically, a bias was observed between the two methods. In addition, both the magnitude and direction of bias were tissue-dependent. Interassay differences could be grouped based on Bayesian statistics, and these groups allowed in turn to re-identify the originating tissue. CONCLUSIONS: Although providing partly correlated measurements of DNA methylation, interchangeability of the quantitative results obtained with LINE-1 and LUMA was jeopardized by a consistent bias between the results. Moreover, the present analyses strongly indicate a tissue specificity of the differences between the two methods.
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spelling pubmed-48779942016-05-25 Disagreement between two common biomarkers of global DNA methylation Knothe, Claudia Shiratori, Hiromi Resch, Eduard Ultsch, Alfred Geisslinger, Gerd Doehring, Alexandra Lötsch, Jörn Clin Epigenetics Methodology BACKGROUND: The quantification of global DNA methylation has been established in epigenetic screening. As more practicable alternatives to the HPLC-based gold standard, the methylation analysis of CpG islands in repeatable elements (LINE-1) and the luminometric methylation assay (LUMA) of overall 5-methylcytosine content in “CCGG” recognition sites are most widely used. Both methods are applied as virtually equivalent, despite the hints that their results only partly agree. This triggered the present agreement assessments. RESULTS: Three different human cell types (cultured MCF7 and SHSY5Y cell lines treated with different chemical modulators of DNA methylation and whole blood drawn from pain patients and healthy volunteers) were submitted to the global DNA methylation assays employing LINE-1 or LUMA-based pyrosequencing measurements. The agreement between the two bioassays was assessed using generally accepted approaches to the statistics for laboratory method comparison studies. Although global DNA methylation levels measured by the two methods correlated, five different lines of statistical evidence consistently rejected the assumption of complete agreement. Specifically, a bias was observed between the two methods. In addition, both the magnitude and direction of bias were tissue-dependent. Interassay differences could be grouped based on Bayesian statistics, and these groups allowed in turn to re-identify the originating tissue. CONCLUSIONS: Although providing partly correlated measurements of DNA methylation, interchangeability of the quantitative results obtained with LINE-1 and LUMA was jeopardized by a consistent bias between the results. Moreover, the present analyses strongly indicate a tissue specificity of the differences between the two methods. BioMed Central 2016-05-23 /pmc/articles/PMC4877994/ /pubmed/27222668 http://dx.doi.org/10.1186/s13148-016-0227-0 Text en © Knothe et al. 2016 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 Methodology
Knothe, Claudia
Shiratori, Hiromi
Resch, Eduard
Ultsch, Alfred
Geisslinger, Gerd
Doehring, Alexandra
Lötsch, Jörn
Disagreement between two common biomarkers of global DNA methylation
title Disagreement between two common biomarkers of global DNA methylation
title_full Disagreement between two common biomarkers of global DNA methylation
title_fullStr Disagreement between two common biomarkers of global DNA methylation
title_full_unstemmed Disagreement between two common biomarkers of global DNA methylation
title_short Disagreement between two common biomarkers of global DNA methylation
title_sort disagreement between two common biomarkers of global dna methylation
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4877994/
https://www.ncbi.nlm.nih.gov/pubmed/27222668
http://dx.doi.org/10.1186/s13148-016-0227-0
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