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Updated: Aug 5, 2026

Methyl-binding DNA capture Sequencing for Patient Tissues
Published on: October 31, 2016
Differential methylation patterns from clusters associated with glucose metabolism: evidence from a Shanghai twin
Jingyuan Feng1, Zhenni Zhu2, Rongfei Zhou1
1School of Public Health, Fudan University, Shanghai, 200032, China.
Abstract:
Aim: To assess the associations between genome-wide DNA methylation (DNAm) and glucose metabolism among a Chinese population, in particular the multisite correlation. Materials & methods: Epigenome-wide associations with fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) were analyzed among 100 Shanghai monozygotic (MZ) twin pairs using the Infinium HumanMethylationEPIC v2.0 BeadChip. We conducted a Pearson's correlation test, hierarchical cluster and pairwise analysis to examine the differential methylation patterns from clusters. Results: Cg01358804 (TXNIP) was identified as the most significant site associated with FPG and HbA1c. Two clusters with hypermethylated and hypomethylated patterns were observed for both FPG and HbA1c. Conclusion: Differential methylation patterns from clusters may provide new clues for epigenetic changes and biological mechanisms in glucose metabolism.
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