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Estimands in epigenome-wide association studies.

Jochen KruppaMiriam SiegGesa RichterAnne Pohrt
Published in: Clinical epigenetics (2021)
The usage of M-values in the analysis of DNA methylation data will produce effect estimates, which cannot be biologically interpreted. The parallel usage of Beta-value statistics ignores possible confounder effects and can therefore not be recommended. Hence, if the differences in Beta-values are the focus of the study, the intercept method is recommendable. Hyper- or hypomethylated CpG sites must then be carefully evaluated. If an exploratory analysis of possible CpG sites is the aim of the study, M-values can be used for inference.
Keyphrases
  • dna methylation
  • genome wide
  • gene expression
  • electronic health record
  • single cell
  • big data
  • deep learning
  • copy number
  • case control