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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]

PMID: 24000956

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