Genome-wide DNA methylation analysis in monozygotic twins identifies potential biomarkers of fasting plasma glucose

  • Weijing Wang (Ophavsmand)
  • Wenqin Yao (Ophavsmand)
  • Qihua Tan (Ophavsmand)
  • Shuxia Li (Ophavsmand)
  • Haiping Duan (Ophavsmand)
  • Xiaocao Tian (Ophavsmand)
  • Chunsheng Xu (Ophavsmand)
  • Dongfeng Zhang (Ophavsmand)

Datasæt

Beskrivelse

Purpose: An epigenome-wide association study (EWAS) was conducted to detect specific epigenetic variants potentially related to fasting plasma glucose (FPG) in middle-aged and elderly Chinese monozygotic twins. Methods: Association between DNA methylation (DNAm) of single CpG and FPG was tested by applying generalized estimation equation in 52 twin pairs. Differentially methylated regions (DMRs) were identified by comb-P approach. Inference about Causation through Examination of Familial Confounding (ICE FALCON) was utilized to perform the causal inference. Candidate CpGs were quantified using Sequenom MassARRAY platform in a community population. Weighted gene co-expression network analysis (WGCNA) was conducted using gene expression data. Results: The relationship between DNAm of 30 top CpGs and FPG reached P-value
Dato for tilgængelighed18. jul. 2022
ForlagDryad Digital Repository

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