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Updated: Jan 22, 2026

TChIP-Seq: Cell-Type-Specific Epigenome Profiling
Published on: January 23, 2019
Detection of cell-type-specific risk-CpG sites in epigenome-wide association studies
Xiangyu Luo1,2, Can Yang3, Yingying Wei4
1Institute of Statistics and Big Data, Renmin University of China, 100872, Beijing, China.
Abstract:
In epigenome-wide association studies, the measured signals for each sample are a mixture of methylation profiles from different cell types. Current approaches to the association detection claim whether a cytosine-phosphate-guanine (CpG) site is associated with the phenotype or not at aggregate level and can suffer from low statistical power. Here, we propose a statistical method, HIgh REsolution (HIRE), which not only improves the power of association detection at aggregate level as compared to the existing methods but also enables the detection of risk-CpG sites for individual cell types.
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