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• W2130523009 endingPage "R31" @default.
• W2130523009 startingPage "R31" @default.
• W2130523009 abstract "Epigenome-wide association studies of human disease and other quantitative traits are becoming increasingly common. A series of papers reporting age-related changes in DNA methylation profiles in peripheral blood have already been published. However, blood is a heterogeneous collection of different cell types, each with a very different DNA methylation profile.Using a statistical method that permits estimating the relative proportion of cell types from DNA methylation profiles, we examine data from five previously published studies, and find strong evidence of cell composition change across age in blood. We also demonstrate that, in these studies, cellular composition explains much of the observed variability in DNA methylation. Furthermore, we find high levels of confounding between age-related variability and cellular composition at the CpG level.Our findings underscore the importance of considering cell composition variability in epigenetic studies based on whole blood and other heterogeneous tissue sources. We also provide software for estimating and exploring this composition confounding for the Illumina 450k microarray." @default.
• W2130523009 created "2016-06-24" @default.
• W2130523009 creator A5054612687 @default.
• W2130523009 creator A5055206246 @default.
• W2130523009 date "2014-01-01" @default.
• W2130523009 modified "2023-10-14" @default.
• W2130523009 title "Accounting for cellular heterogeneity is critical in epigenome-wide association studies" @default.
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• W2130523009 doi "https://doi.org/10.1186/gb-2014-15-2-r31" @default.
• W2130523009 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4053810" @default.
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