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Journal article

Evidence of batch effects masking treatment effect in GAW20 methylation data

Abstract

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.

Authors

Canty AJ; Paterson AD

Journal

BMC Proceedings, Vol. 12, No. Suppl 9,

Publisher

Springer Nature

Publication Date

September 17, 2018

DOI

10.1186/s12919-018-0129-6

ISSN

1753-6561

Labels

Fields of Research (FoR)

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