1. Enlarged leukocyte referent libraries can explain additional variance in blood-based epigenome-wide association studies
- Author
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Kim, Stephanie, Eliot, Melissa, Koestler, Devin C, Houseman, Eugene A, Wetmur, James G, Wiencke, John K, and Kelsey, Karl T
- Subjects
Biological Sciences ,Genetics ,Human Genome ,Aging ,Arthritis ,CpG Islands ,DNA Methylation ,Epigenesis ,Genetic ,Genome ,Human ,Genome-Wide Association Study ,Humans ,Leukocytes ,Metabolic Syndrome ,450K methylation library ,aging ,arthritis ,cell mixture deconvolution ,cellular heterogeneity ,confounding ,differentially methylated regions ,DNA methylation ,epigenome-wide association study ,inflammation ,lymphocytes ,Clinical Sciences - Abstract
AimWe examined whether variation in blood-based epigenome-wide association studies could be more completely explained by augmenting existing reference DNA methylation libraries.Materials & methodsWe compared existing and enhanced libraries in predicting variability in three publicly available 450K methylation datasets that collected whole-blood samples. Models were fit separately to each CpG site and used to estimate the additional variability when adjustments for cell composition were made with each library.ResultsCalculation of the mean difference in the CpG-specific residual sums of squares error between models for an arthritis, aging and metabolic syndrome dataset, indicated that an enhanced library explained significantly more variation across all three datasets (p < 10(-3)).ConclusionPathologically important immune cell subtypes can explain important variability in epigenome-wide association studies done in blood.
- Published
- 2016