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Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution
Published on: February 24, 2015
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Information recovery from low coverage whole-genome bisulfite sequencing
Emanuele Libertini1, Simon C Heath2, Rifat A Hamoudi3
1Medical Genomics, UCL Cancer Institute, University College London, London WC1E 6BT, UK.
Nature Communications
|June 28, 2016
Summary
Whole-genome bisulfite sequencing (WGBS) data can yield more information. A new tool recovers lost differentially methylated position data by identifying blocks of comethylation (COMETs), significantly improving data extraction, especially at low coverage.
Area of Science:
- Genomics
- Epigenetics
- Bioinformatics
Background:
- Whole-genome bisulfite sequencing (WGBS) is costly, limiting its application.
- Current methods fail to capture up to 50% of high-resolution epigenetic features like differentially methylated positions (DMPs) even at recommended coverage.
- Maximizing information extraction from WGBS data is crucial for comprehensive epigenetic studies.
Purpose of the Study:
- To develop a novel computational tool for enhanced data extraction from WGBS datasets.
- To recover information lost by current methods, particularly differentially methylated positions (DMPs).
- To explore the utility of this new approach for population-specific epigenetic analyses.
Main Methods:
- Developed a tool to segment WGBS methylomes into blocks of comethylation (COMETs).
- Utilized COMETs to identify differentially methylated COMETs (DMCs) and recover lost DMP information.
- Analyzed the correlation between COMETs and haplotypes in diverse lymphoblastoid cell lines.
Main Results:
- The COMETs tool recovered approximately 30% of lost DMP information as DMCs, even at low 5X coverage.
- This recovery rate is double that achieved by existing differentially methylated regions (DMRs) methods.
- COMETs showed population-specific correlations with haplotypes, suggesting potential for future genetic association studies.
Conclusions:
- The COMETs tool significantly enhances information recovery from WGBS data, addressing limitations of current methods.
- This approach is effective even at low sequencing coverage, reducing the impact of sequencing costs.
- Dynamic segmentation into COMETs offers a promising avenue for integrated (epi)genome-wide association studies.
