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Battle of epigenetic proportions: comparing Illumina's EPIC methylation microarrays and TruSeq targeted bisulfite sequencing.

Jonathan A Heiss | Kasey J Brennan | Andrea A Baccarelli | Martha M Téllez-Rojo | Guadalupe Estrada-Gutiérrez | Robert O Wright | Allan C Just
Epigenetics | 2020

DNA methylation microarrays have been the platform of choice for epigenome-wide association studies in epidemiology, but declining costs have rendered targeted bisulphite sequencing a feasible alternative. Nonetheless, the literature for researchers seeking guidance on which platform to choose is sparse. To fill this gap, we conducted a comparison study in which we processed cord blood samples from four newborns in duplicates using both the Illumina HumanMethylationEPIC BeadChip and the Illumina TruSeq Methyl Capture EPIC Kit, and evaluated both platforms in regard to coverage, reproducibility, and identification of differential methylation. We conclude that with current analytic goals microarrays still outperform bisulphite sequencing for precise quantification of DNA methylation.

Pubmed ID: 31538540

Research resources used in this publication

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Associated grants

  • Agency: NIEHS NIH HHS, United States
    Id: R01 ES021357
  • Agency: NIEHS NIH HHS, United States
    Id: R01 ES013744
  • Agency: NIEHS NIH HHS, United States
    Id: R24 ES028522
  • Agency: NIEHS NIH HHS, United States
    Id: P30 ES023515
  • Agency: NIEHS NIH HHS, United States
    Id: R00 ES023450
  • Agency: NIEHS NIH HHS, United States
    Id: R01 ES020268

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Bioconductor (tool)

RRID:SCR_006442

Software repository for R packages related to analysis and comprehension of high throughput genomic data. Uses separate set of commands for installation of packages. Software project based on R programming language that provides tools for analysis and comprehension of high throughput genomic data.

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FISHER (tool)

RRID:SCR_009181

THIS RESOURCE IS NO LONGER IN SERVICE, documented on February 1st, 2022. Software application for genetic analysis of classical biometric traits like blood pressure or height that are caused by a combination of polygenic inheritance and complex environmental forces. (entry from Genetic Analysis Software)

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