Detection of cell-type-specific risk-CpG sites in epigenome-wide association studies.
Where this comes from
- Record sourced from PubMed, PMID 31308366.
- Also identified by DOI 10.1038/s41467-019-10864-z and PMC identifier 6629651.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.
Medical subject headings
- CpG Islands
- Epigenome
- Genome-Wide Association Study