Genome-wide DNA methylation profiling in human breast tissue by Illumina TruSeq methyl capture EPIC sequencing and infinium methylationEPIC beadchip microarray

dc.contributor.authorLin, Nan
dc.contributor.authorLiu, Jinpeng
dc.contributor.authorCastle, James
dc.contributor.authorWan, Jun
dc.contributor.authorShendre, Aditi
dc.contributor.authorLiu, Yunlong
dc.contributor.authorWang, Chi
dc.contributor.authorHe, Chunyan
dc.contributor.departmentMedical and Molecular Genetics, School of Medicineen_US
dc.date.accessioned2023-02-15T12:46:50Z
dc.date.available2023-02-15T12:46:50Z
dc.date.issued2021
dc.description.abstractA newly-developed platform, the Illumina TruSeq Methyl Capture EPIC library prep (TruSeq EPIC), builds on the content of the Infinium MethylationEPIC Beadchip Microarray (EPIC-array) and leverages the power of next-generation sequencing for targeted bisulphite sequencing. We empirically examined the performance of TruSeq EPIC and EPIC-array in assessing genome-wide DNA methylation in breast tissue samples. TruSeq EPIC provided data with a much higher density in the regions when compared to EPIC-array (~2.74 million CpGs with at least 10X coverage vs ~752 K CpGs, respectively). Approximately 398 K CpGs were common and measured across the two platforms in every sample. Overall, there was high concordance in methylation levels between the two platforms (Pearson correlation r = 0.98, P < 0.0001). However, we observed that TruSeq EPIC measurements provided a wider dynamic range and likely a higher quantitative sensitivity for CpGs that were either hypo- or hyper-methylated (β close to 0 or 1, respectively). In addition, when comparing different breast tissue types TruSeq EPIC identified more differentially methylated CpGs than EPIC-array, not only out of additional sites interrogated by TruSeq EPIC alone, but also out of common sites interrogated by both platforms. Our results suggest that both platforms show high reproducibility and reliability in genome-wide DNA methylation profiling, while TruSeq EPIC had a significant improvement over EPIC-array regarding genomic resolution and coverage. The wider dynamic range and likely higher precision of the estimates by the TruSeq EPIC may lead to the identification of novel differentially methylated markers that are associated with disease risk.en_US
dc.eprint.versionFinal published versionen_US
dc.identifier.citationLin N, Liu J, Castle J, et al. Genome-wide DNA methylation profiling in human breast tissue by Illumina TruSeq methyl capture EPIC sequencing and infinium methylationEPIC beadchip microarray. Epigenetics. 2021;16(7):754-769. doi:10.1080/15592294.2020.1827703en_US
dc.identifier.urihttps://hdl.handle.net/1805/31248
dc.language.isoen_USen_US
dc.publisherTaylor & Francisen_US
dc.relation.isversionof10.1080/15592294.2020.1827703en_US
dc.relation.journalEpigeneticsen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0*
dc.sourcePMCen_US
dc.subjectDNA methylationen_US
dc.subjectDifferentially methylated sitesen_US
dc.subjectGenome coverageen_US
dc.subjectGenomic resolutionen_US
dc.subjectInfinium MethylationEPIC Beadchipen_US
dc.subjectMethyl-capture sequencingen_US
dc.subjectMethylomeen_US
dc.subjectMicroarrayen_US
dc.subjectNext-generation sequencingen_US
dc.subjectQuantitative sensitivityen_US
dc.titleGenome-wide DNA methylation profiling in human breast tissue by Illumina TruSeq methyl capture EPIC sequencing and infinium methylationEPIC beadchip microarrayen_US
dc.typeArticleen_US
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