{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Cavin Ward-Caviness", "hasEmail": "mailto:ward-caviness.cavin@epa.gov"}, "description": "The dataset is tabular data on DNA methylation assessment, residential history, individual-level socioeconomic status, and neighborhood built environment for participants in the Detroit Neighborhood Health Study. This dataset is not publicly accessible because: The data was not generated by the EPA, is not owned by the EPA, and contains protected information such as residential history. It can be accessed through the following means: The data can be accessed by contacting the data manager - Dr. Chantel Martin. Format: The data is tabular data containing information on DNA methylation, residential history, disease diagnoses, built environment, and individual-level socioeconomic data. \n\nThis dataset is associated with the following publication:\nWard-Caviness, C., S. Pu, C. Martin, S. Galea, M. Uddin, D. Wildman, K. Koenen, and A. Aiello. Epigenetic predictors of all-cause mortality are associated with objective measures of neighborhood disadvantage in an urban population.   Clinical Epigenetics. BioMed Central Ltd, London,  UK, 12(44): 1, (2020).", "distribution": [], "identifier": "https://doi.org/10.23719/1532098", "keyword": ["DNA methylation", "Green space", "mortality", "neighborhood"], "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html", "modified": "2020-03-11", "programCode": ["020:000"], "publisher": {"name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": {"name": "U.S. Environmental Protection Agency", "subOrganizationOf": {"name": "U.S. Government"}}}, "references": ["https://doi.org/10.1186/s13148-020-00830-8", "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7065313"], "rights": null, "title": "Metadata: Epigenetic predictors of all-cause mortality are associated with objective measures of neighborhood disadvantage in an urban population"}