Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 27018579.
- Also identified by DOI 10.1038/nmeth.3809 and PMC identifier 5548182.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
In epigenome-wide association studies (EWAS), different methylation profiles of distinct cell types may lead to false discoveries. We introduce ReFACTor, a method based on principal component analysis (PCA) and designed for the correction of cell type heterogeneity in EWAS. ReFACTor does not require knowledge of cell counts, and it provides improved estimates of cell type composition, resulting in improved power and control for false positives in EWAS. Corresponding software is available at http://www.cs.tau.ac.il/~heran/cozygene/software/refactor.html.
Medical subject headings
- DNA Methylation
- Epigenomics
- Genetic Heterogeneity
- Genome-Wide Association Study
- Principal Component Analysis