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Development of a method for identifying and functionally analyzing allele-specific DNA methylation based on BS-seq data

  • Jiang Zhu
  • , Mu Su
  • , Yue Gu
  • , Xingda Zhang
  • , Wenhua Lv
  • , Shumei Zhang
  • , Zhongyi Sun
  • , Haibo Lu
  • , Yan Zhang*
  • *Corresponding author for this work
  • School of Life Science and Technology, Harbin Institute of Technology
  • Harbin Medical University
  • Guangzhou Medical College

Research output: Contribution to journalArticlepeer-review

Abstract

Aim: To comprehensively identify allele-specific DNA methylation (ASM) at the genome-wide level. Methods: Here, we propose a new method, called GeneASM, to identify ASM using high-throughput bisulfite sequencing data in the absence of haplotype information. Results: A total of 2194 allele-specific DNA methylated genes were identified in the GM12878 lymphocyte lineage using GeneASM. These genes are mainly enriched in cell cytoplasm function, subcellular component movement or cellular linkages. GM12878 methylated DNA immunoprecipitation sequencing, and methylation sensitive restriction enzyme sequencing data were used to evaluate ASM. The relationship between ASM and disease was further analyzed using the The Cancer Genome Atlas (TCGA) data of lung adenocarcinoma (LUAD), and whole genome bisulfite sequencing data. Conclusion: GeneASM, which recognizes ASM by high-throughput bisulfite sequencing and heterozygous single-nucleotide polymorphisms, provides new perspective for studying genomic imprinting.

Original languageEnglish
Pages (from-to)1679-1692
Number of pages14
JournalEpigenomics
Volume11
Issue number15
DOIs
StatePublished - Nov 2019
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • allele-specific DNA methylation
  • genomic imprinting
  • high-throughput sequencing
  • single-nucleotide polymorphism

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