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Patterns of Reliability: Assessing the Reproducibility and Integrity of DNA Methylation Measurement
DNA methylation plays an important role in both normal human development and risk of disease. The most utilized method of assessing DNA methylation uses BeadChips, generating an epigenome-wide “snapshot” of >450,000 observations (probe measurements) per assay. However, the reliability of each of...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467214/ https://www.ncbi.nlm.nih.gov/pubmed/32885222 http://dx.doi.org/10.1016/j.patter.2020.100014 |
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author | Sugden, Karen Hannon, Eilis J. Arseneault, Louise Belsky, Daniel W. Corcoran, David L. Fisher, Helen L. Houts, Renate M. Kandaswamy, Radhika Moffitt, Terrie E. Poulton, Richie Prinz, Joseph A. Rasmussen, Line J.H. Williams, Benjamin S. Wong, Chloe C.Y. Mill, Jonathan Caspi, Avshalom |
author_facet | Sugden, Karen Hannon, Eilis J. Arseneault, Louise Belsky, Daniel W. Corcoran, David L. Fisher, Helen L. Houts, Renate M. Kandaswamy, Radhika Moffitt, Terrie E. Poulton, Richie Prinz, Joseph A. Rasmussen, Line J.H. Williams, Benjamin S. Wong, Chloe C.Y. Mill, Jonathan Caspi, Avshalom |
author_sort | Sugden, Karen |
collection | PubMed |
description | DNA methylation plays an important role in both normal human development and risk of disease. The most utilized method of assessing DNA methylation uses BeadChips, generating an epigenome-wide “snapshot” of >450,000 observations (probe measurements) per assay. However, the reliability of each of these measurements is not equal, and little consideration is paid to consequences for research. We correlated repeat measurements of the same DNA samples using the Illumina HumanMethylation450K and the Infinium MethylationEPIC BeadChips in 350 blood DNA samples. Probes that were reliably measured were more heritable and showed consistent associations with environmental exposures, gene expression, and greater cross-tissue concordance. Unreliable probes were less replicable and generated an unknown volume of false negatives. This serves as a lesson for working with DNA methylation data, but the lessons are equally applicable to working with other data: as we advance toward generating increasingly greater volumes of data, failure to document reliability risks harming reproducibility. |
format | Online Article Text |
id | pubmed-7467214 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-74672142020-09-02 Patterns of Reliability: Assessing the Reproducibility and Integrity of DNA Methylation Measurement Sugden, Karen Hannon, Eilis J. Arseneault, Louise Belsky, Daniel W. Corcoran, David L. Fisher, Helen L. Houts, Renate M. Kandaswamy, Radhika Moffitt, Terrie E. Poulton, Richie Prinz, Joseph A. Rasmussen, Line J.H. Williams, Benjamin S. Wong, Chloe C.Y. Mill, Jonathan Caspi, Avshalom Patterns (N Y) Article DNA methylation plays an important role in both normal human development and risk of disease. The most utilized method of assessing DNA methylation uses BeadChips, generating an epigenome-wide “snapshot” of >450,000 observations (probe measurements) per assay. However, the reliability of each of these measurements is not equal, and little consideration is paid to consequences for research. We correlated repeat measurements of the same DNA samples using the Illumina HumanMethylation450K and the Infinium MethylationEPIC BeadChips in 350 blood DNA samples. Probes that were reliably measured were more heritable and showed consistent associations with environmental exposures, gene expression, and greater cross-tissue concordance. Unreliable probes were less replicable and generated an unknown volume of false negatives. This serves as a lesson for working with DNA methylation data, but the lessons are equally applicable to working with other data: as we advance toward generating increasingly greater volumes of data, failure to document reliability risks harming reproducibility. Elsevier 2020-04-23 /pmc/articles/PMC7467214/ /pubmed/32885222 http://dx.doi.org/10.1016/j.patter.2020.100014 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sugden, Karen Hannon, Eilis J. Arseneault, Louise Belsky, Daniel W. Corcoran, David L. Fisher, Helen L. Houts, Renate M. Kandaswamy, Radhika Moffitt, Terrie E. Poulton, Richie Prinz, Joseph A. Rasmussen, Line J.H. Williams, Benjamin S. Wong, Chloe C.Y. Mill, Jonathan Caspi, Avshalom Patterns of Reliability: Assessing the Reproducibility and Integrity of DNA Methylation Measurement |
title | Patterns of Reliability: Assessing the Reproducibility and Integrity of DNA Methylation Measurement |
title_full | Patterns of Reliability: Assessing the Reproducibility and Integrity of DNA Methylation Measurement |
title_fullStr | Patterns of Reliability: Assessing the Reproducibility and Integrity of DNA Methylation Measurement |
title_full_unstemmed | Patterns of Reliability: Assessing the Reproducibility and Integrity of DNA Methylation Measurement |
title_short | Patterns of Reliability: Assessing the Reproducibility and Integrity of DNA Methylation Measurement |
title_sort | patterns of reliability: assessing the reproducibility and integrity of dna methylation measurement |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467214/ https://www.ncbi.nlm.nih.gov/pubmed/32885222 http://dx.doi.org/10.1016/j.patter.2020.100014 |
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