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Comparison of Infinium MethylationEPIC v2.0 to v1.0 for human population epigenetics: considerations for addressing EPIC version differences in DNA methylation-based tools.

Beryl C ZhuangMarcia Smiti JudeChaini KonwarCalen P RyanJoanne WhiteheadHannah-Ruth EngelbrechtJulia L MacIsaacKristy DeverTran Khanh ToanKim KorinekZachary ZimmerKim M HuffmanNanette R LeeThomas W McDadeChristopher W KuzawaDaniel W BelskyMichael S Kobor
Published in: bioRxiv : the preprint server for biology (2024)
Our findings indicate that EPIC version differences predominantly explain DNA methylation variation and influence estimates of DNA methylation-based tools, and therefore we recommend caution when combining cohorts run on different versions. We demonstrate the importance of calculating DNA methylation-based estimates separately for each EPIC version or accounting for EPIC version either as a covariate in statistical models or by using version correction algorithms.
Keyphrases
  • dna methylation
  • psychometric properties
  • genome wide
  • gene expression
  • endothelial cells
  • machine learning
  • pluripotent stem cells