Performance comparisons of methylation and structural variants from low-input whole-genome methylation sequencing

Epigenomics. 2023 Jan;15(1):11-19. doi: 10.2217/epi-2022-0453. Epub 2023 Mar 15.

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.

Keywords: CpG methylation; EM-seq; QIAseq; SWIFT-seq; copy number variation; single nucleotide variation; whole-genome methylation sequencing.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • DNA Copy Number Variations
  • DNA Methylation*
  • DNA* / genetics
  • Gene Library
  • High-Throughput Nucleotide Sequencing / methods
  • Humans
  • Reproducibility of Results
  • Whole Genome Sequencing / methods

Substances

  • DNA