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Epigenomics. 2017 Jun;9(6):823-832. doi: 10.2217/epi-2016-0176. Epub 2017 May 19.

Comparative assessment of DNA methylation patterns between reduced representation bisulfite sequencing and Sequenom EpiTyper methylation analysis.

Author information

1
Department of Pathology, Dunedin School of Medicine, University of Otago, 270 Great King Street, Dunedin 9054, New Zealand.
2
Maurice Wilkins Centre for Molecular Biodiscovery, Level 2, 3A Symonds Street, Auckland, New Zealand.
3
Department of Biochemistry, University of Otago, 710 Cumberland Street, Dunedin 9054, New Zealand.
4
Department of Mathematics & Statistics, University of Otago, PO Box 56, Dunedin, 9054, New Zealand.

Abstract

AIM:

Validation of sequencing-based DNA methylation data is an important step for meaningful translation of findings. However, there has been limited assessment of different platforms to validate methylation data from next generation sequencing.

METHODS:

We performed a comparative methylation analysis between the genome-wide platform of reduced representation bisulfite sequencing with a targeted, Sequenom EpiTyper platform (four genes were analyzed in 15 cell lines covering 52 CpG sites).

RESULTS:

We show that the accuracy of validation substantially improves if results from multiple and adjacent CpG sites are combined rather than at single CpG sites. We demonstrate increased read number improves accuracy of reduced representation bisulfite sequencing results. Further, by using series of replicates, we document variation in samples analyzed by Sequenom EpiTyper, indicating the importance of including replicates to increase precision.

CONCLUSION:

The results reveal potential sources of bias and provide a guideline for refining study design for DNA methylation analysis.

KEYWORDS:

CpG site; DNA methylation; RRBS; Sequenom EpiTyper; read number; replicate; variation

PMID:
28523967
DOI:
10.2217/epi-2016-0176
[Indexed for MEDLINE]
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