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Published in: BMC Proceedings 9/2018

Open Access 01-09-2018 | Proceedings

An adaptive gene-based test for methylation data

Authors: Chong Wu, Jun Young Park, Weihua Guan, Wei Pan

Published in: BMC Proceedings | Special Issue 9/2018

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Abstract

DNA methylation plays an important role in normal human development and disease. In epigenome-wide association studies (EWAS), a univariate test for association between a phenotype and each cytosine-phosphate-guanine (CpG) site has been widely used. Given the number of CpG sites tested in EWAS, a stringent significance cutoff is required to adjust for multiple testing; in addition, multiple nearby CpG sites may be associated with the phenotype, which is ignored by a univariate test. These two factors may contribute to the power loss of a univariate test. As an alternative, we propose applying an adaptive gene-based test that is powerful in genome-wide association studies (GWAS), called aSPUw, to EWAS for simultaneous testing on multiple CpG sites within or near a gene. We show its application to the GAW20 methylation data set.
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Metadata
Title
An adaptive gene-based test for methylation data
Authors
Chong Wu
Jun Young Park
Weihua Guan
Wei Pan
Publication date
01-09-2018
Publisher
BioMed Central
Published in
BMC Proceedings / Issue Special Issue 9/2018
Electronic ISSN: 1753-6561
DOI
https://doi.org/10.1186/s12919-018-0126-9

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