Entering edit mode
2.4 years ago
Basti
★
2.0k
Hi everyone,
I am currently undertaking a meta-analysis of several methylation datasets (450k and EPIC beadchip) with METAL. It seems to me the majority of studies perform meta-analysis of such datasets using beta-values as several report that effect size corresponds to " % methylation change per "condition" ". For me this is not straightforward as it is now recommended to work with M-values in DNA methylation studies.
Would you have any guidance for me on that point ? I know using beta-values would be easier to visualize (effect size = 1 -> 1% increase of methylation with the "condition") but I wonder why we should not use M-values as they are a more valid statistical approach.
Thank you in advance for your advice.
