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Patterns of Reliability: Assessing the Reproducibility and Integrity of DNA Methylation Measurement.

Publication ,  Journal Article
Sugden, K; Hannon, EJ; Arseneault, L; Belsky, DW; Corcoran, DL; Fisher, HL; Houts, RM; Kandaswamy, R; Moffitt, TE; Poulton, R; Prinz, JA ...
Published in: Patterns (New York, N.Y.)
May 2020

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.

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Published In

Patterns (New York, N.Y.)

DOI

EISSN

2666-3899

ISSN

2666-3899

Publication Date

May 2020

Volume

1

Issue

2

Start / End Page

100014
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Sugden, K., Hannon, E. J., Arseneault, L., Belsky, D. W., Corcoran, D. L., Fisher, H. L., … Caspi, A. (2020). Patterns of Reliability: Assessing the Reproducibility and Integrity of DNA Methylation Measurement. Patterns (New York, N.Y.), 1(2), 100014. https://doi.org/10.1016/j.patter.2020.100014
Sugden, Karen, Eilis J. Hannon, Louise Arseneault, Daniel W. Belsky, David L. Corcoran, Helen L. Fisher, Renate M. Houts, et al. “Patterns of Reliability: Assessing the Reproducibility and Integrity of DNA Methylation Measurement.Patterns (New York, N.Y.) 1, no. 2 (May 2020): 100014. https://doi.org/10.1016/j.patter.2020.100014.
Sugden K, Hannon EJ, Arseneault L, Belsky DW, Corcoran DL, Fisher HL, et al. Patterns of Reliability: Assessing the Reproducibility and Integrity of DNA Methylation Measurement. Patterns (New York, NY). 2020 May;1(2):100014.
Sugden, Karen, et al. “Patterns of Reliability: Assessing the Reproducibility and Integrity of DNA Methylation Measurement.Patterns (New York, N.Y.), vol. 1, no. 2, May 2020, p. 100014. Epmc, doi:10.1016/j.patter.2020.100014.
Sugden K, Hannon EJ, Arseneault L, Belsky DW, Corcoran DL, Fisher HL, Houts RM, Kandaswamy R, Moffitt TE, Poulton R, Prinz JA, Rasmussen LJH, Williams BS, Wong CCY, Mill J, Caspi A. Patterns of Reliability: Assessing the Reproducibility and Integrity of DNA Methylation Measurement. Patterns (New York, NY). 2020 May;1(2):100014.

Published In

Patterns (New York, N.Y.)

DOI

EISSN

2666-3899

ISSN

2666-3899

Publication Date

May 2020

Volume

1

Issue

2

Start / End Page

100014