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

Xiangyu Luo; Can Yang; Yingying Wei

doi:10.1038/s41467-019-10864-z

Nature Communications (Jul 2019)

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

Xiangyu Luo,
Can Yang,
Yingying Wei

Affiliations

Xiangyu Luo: Institute of Statistics and Big Data, Renmin University of China
Can Yang: Department of Mathematics, The Hong Kong University of Science and Technology
Yingying Wei: Department of Statistics, The Chinese University of Hong Kong

DOI: https://doi.org/10.1038/s41467-019-10864-z
Journal volume & issue: Vol. 10, no. 1
pp. 1 – 12

Abstract

Read online

Cellular heterogeneity is one of the major confounding factors in EWAS studies. Here the authors present a statistical method, HIgh REsolution (HIRE), which enables the detection of risk-CpG sites for individual cell types.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

About the journal