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Detection of cell-type-specific risk-CpG sites in epigenome-wide association studies

Author

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  • Xiangyu Luo

    (Renmin University of China
    The Chinese University of Hong Kong)

  • Can Yang

    (The Hong Kong University of Science and Technology)

  • Yingying Wei

    (The Chinese University of Hong Kong)

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.

Suggested Citation

  • Xiangyu Luo & Can Yang & Yingying Wei, 2019. "Detection of cell-type-specific risk-CpG sites in epigenome-wide association studies," Nature Communications, Nature, vol. 10(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-10864-z
    DOI: 10.1038/s41467-019-10864-z
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