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Updated: Aug 6, 2025

Targeted DNA Methylation Analysis by Next-generation Sequencing
Published on: February 24, 2015
Performance comparisons of methylation and structural variants from low-input whole-genome methylation sequencing
Zhifu Sun1, Saurabh Behati1, Panwen Wang1
1Division of Computational Biology, Mayo Clinic, Rochester, MN 55905, USA.
Abstract:
Aim: Whole-genome methylation sequencing carries both DNA methylation and structural variant information (single nucleotide variant [SNV]; copy number variant [CNV]); however, limited data is available on the reliability of obtaining this information simultaneously from low-input DNA using various library preparation and sequencing protocols. Methods: A HapMap NA12878 sample was sequenced with three protocols (EM-sequencing, QIA-sequencing and Swift-sequencing) and their performance was compared on CpG methylation measurement and SNV and CNV detection. Results: At low DNA input (10-25 ng), EM-sequencing was superior in almost all metrics except CNV detection where all protocols were similar. EM-sequencing captured the highest number of CpGs and true SNVs. Conclusion: EM-sequencing is suitable to detect methylation, SNVs and CNVs from single sequencing with low-input DNA.
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