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Guidance for DNA methylation studies: statistical insights from the Illumina EPIC array

BMC Genomics · 2019 · Vol. 20(1) · pp. 366–366
Georgina MansellT.J. Gorrie-StoneYanchun BaoMeena KumariLeonard C. SchalkwykJonathan MillEilís Hannon

Abstract

We propose that a significance threshold of P < 9 × 10<sup>- 8</sup> adequately controls the false positive rate for EPIC array DNA methylation studies. Moreover, our results indicate that linear regression is a valid statistical methodology for DNA methylation studies, despite the fact that the data do not always satisfy the assumptions of this test. These findings have implications for epidemiological-based studies of DNA methylation and provide a framework for the interpretation of findings from current and future studies.

Epigenetics and DNA MethylationRNA modifications and cancerGenomics and Chromatin DynamicsBiologyDNA methylationDNA microarrayEPICComputational biologyGeneticsMethylationDNABioinformaticsGene

MeSH terms

HumansLinear ModelsCpG IslandsDNA MethylationOligonucleotide Array Sequence AnalysisEpigenesis, GeneticGenome-Wide Association StudyEpigenomics

Funding

  • University of Essex
  • Directorate for Biological Sciences
  • Medical Research Council
  • Economic and Social Research Council
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Guidance for DNA methylation studies: statistical insights from the Illumina EPIC array · Scinovex