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Measuring cell-type specific differential methylation in human brain tissue.


ABSTRACT: The behavior of epigenetic mechanisms in the brain is obscured by tissue heterogeneity and disease-related histological changes. Not accounting for these confounders leads to biased results. We develop a statistical methodology that estimates and adjusts for celltype composition by decomposing neuronal and non-neuronal differential signal. This method provides a conceptual framework for deconvolving heterogeneous epigenetic data from postmortem brain studies. We apply it to find cell-specific differentially methylated regions between prefrontal cortex and hippocampus. We demonstrate the utility of the method on both Infinium 450k and CHARM data.

SUBMITTER: Montano CM 

PROVIDER: S-EPMC4054676 | biostudies-literature | 2013 Aug

REPOSITORIES: biostudies-literature

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Measuring cell-type specific differential methylation in human brain tissue.

Montaño Carolina M CM   Irizarry Rafael A RA   Kaufmann Walter E WE   Talbot Konrad K   Gur Raquel E RE   Feinberg Andrew P AP   Taub Margaret A MA  

Genome biology 20130830 8


The behavior of epigenetic mechanisms in the brain is obscured by tissue heterogeneity and disease-related histological changes. Not accounting for these confounders leads to biased results. We develop a statistical methodology that estimates and adjusts for celltype composition by decomposing neuronal and non-neuronal differential signal. This method provides a conceptual framework for deconvolving heterogeneous epigenetic data from postmortem brain studies. We apply it to find cell-specific di  ...[more]

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