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Evidence of batch effects masking treatment effect in GAW20 methylation data

Using the real data set from GAW20, we examined changes in the distribution of DNA methylation before and after treatment. Paired analysis of differences in both mean and variance had grossly inflated type 1 error, suggesting either a very large number of changes across the entire epigenome or major...

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Autores principales: Canty, Angelo J., Paterson, Andrew D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157182/
https://www.ncbi.nlm.nih.gov/pubmed/30275884
http://dx.doi.org/10.1186/s12919-018-0129-6
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author Canty, Angelo J.
Paterson, Andrew D.
author_facet Canty, Angelo J.
Paterson, Andrew D.
author_sort Canty, Angelo J.
collection PubMed
description Using the real data set from GAW20, we examined changes in the distribution of DNA methylation before and after treatment. Paired analysis of differences in both mean and variance had grossly inflated type 1 error, suggesting either a very large number of changes across the entire epigenome or major non-biological issues, such as batch effects. Separate analysis of Infinium I and II probes indicated differences in the paired t-test statistics between these two types of probes. Examination of combined principal components showed that the first and fourth principal components discriminate between the before and after treatment measurements, further evidencing the presence of batch effects that make any conclusions about treatment effect suspect.
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spelling pubmed-61571822018-10-01 Evidence of batch effects masking treatment effect in GAW20 methylation data Canty, Angelo J. Paterson, Andrew D. BMC Proc Proceedings Using the real data set from GAW20, we examined changes in the distribution of DNA methylation before and after treatment. Paired analysis of differences in both mean and variance had grossly inflated type 1 error, suggesting either a very large number of changes across the entire epigenome or major non-biological issues, such as batch effects. Separate analysis of Infinium I and II probes indicated differences in the paired t-test statistics between these two types of probes. Examination of combined principal components showed that the first and fourth principal components discriminate between the before and after treatment measurements, further evidencing the presence of batch effects that make any conclusions about treatment effect suspect. BioMed Central 2018-09-17 /pmc/articles/PMC6157182/ /pubmed/30275884 http://dx.doi.org/10.1186/s12919-018-0129-6 Text en © The Author(s). 2018 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 Proceedings
Canty, Angelo J.
Paterson, Andrew D.
Evidence of batch effects masking treatment effect in GAW20 methylation data
title Evidence of batch effects masking treatment effect in GAW20 methylation data
title_full Evidence of batch effects masking treatment effect in GAW20 methylation data
title_fullStr Evidence of batch effects masking treatment effect in GAW20 methylation data
title_full_unstemmed Evidence of batch effects masking treatment effect in GAW20 methylation data
title_short Evidence of batch effects masking treatment effect in GAW20 methylation data
title_sort evidence of batch effects masking treatment effect in gaw20 methylation data
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157182/
https://www.ncbi.nlm.nih.gov/pubmed/30275884
http://dx.doi.org/10.1186/s12919-018-0129-6
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