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Updated: Apr 13, 2026

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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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Fine mapping regulatory variants by characterizing native CpG methylation with nanopore long-read sequencing
Yijun Tian1, Shannon K McDonnell2, Lang Wu3
1Department of Tumor Microenvironment and Metastasis, Moffitt Cancer Center, Tampa, FL 33612, USA.
HGG Advances
|October 19, 2025
Summary
Nanopore long-read sequencing overcomes short-read limitations for human methylome profiling. This method enables long-range co-methylation analysis and identifies allele-specific methylation, crucial for understanding noncoding variant impacts.
Area of Science:
- Genomics
- Epigenetics
- Molecular Biology
Background:
- 5-Methylcytosine (5mC) is a key epigenetic mark in the human genome.
- Short-read sequencing for 5mC detection has limitations like PCR bias and restricted long-range analysis.
- Nanopore long-read sequencing offers a potential solution to these challenges.
Purpose of the Study:
- To profile the human methylome using nanopore long-read sequencing.
- To perform long-range co-methylation analysis and identify methylation haplotype blocks (MHBs).
- To investigate epigenetic changes associated with protein binding and noncoding genetic variants.
Main Methods:
- Adaptive sampling nanopore long-read sequencing targeting CpG islands and mQTL/GWAS regions.
- Linkage disequilibrium (LD) R² analysis to identify MHBs.
- Integration with ATAC-seq data to assess allele-specific accessibility.
Main Results:
- Cancer genomes show smaller MHBs and lower methylation LD R² compared to normal cells.
- Long-read sequencing effectively captures large MHBs, outperforming short-read methods.
- Identified allele-specific methylation and accessibility near GWAS risk variants.
Conclusions:
- Nanopore sequencing is feasible for comprehensive methylome profiling, preserving haplotype information.
- This approach provides novel insights into epigenetic modifications driven by noncoding variants.
- Enables detailed analysis of epigenetic regulation in cancer and other diseases.
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