Work

Measuring cell-type specific differential methylation in human brain tissue

Year: 2013

Type: article

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.

Source: Genome biology

DOI: 10.1186/gb-2013-14-8-r94

Authors: Carolina M Montaño, Rafael A Irizarry, Walter E Kaufmann, Konrad Talbot, Raquel E Gur, Andrew P Feinberg, Margaret A Taub

Institutions: Johns Hopkins University, Johns Hopkins Medicine, Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard University, University of Pennsylvania

Language: English

Topic: Epigenetics and DNA Methylation

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $5,490

Funders: U.S. Department of Defense, University of Pennsylvania, National Institutes of Health, National Institute of Mental Health, National Institute of General Medical Sciences, National Institute of Arthritis and Musculoskeletal and Skin Diseases, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Congressionally Directed Medical Research Programs

Awards: Core Center, 1/5: A Genome-wide Methylation Scan for Epigenetic Contributions to Schizophrenia, Preprocessing and Analysis Tools for High-Throughput Technologies, Intellectual and Developmental Disablities Research Center

OpenAlex ID: W2113611401

FWCI: 5.074

Cites: 37

Cited by: 110

Related to: 10