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National Institute of Environmental Health Sciences

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Your Environment. Your Health.

University of California-Berkeley: Dataset Details, ID=Not available

Superfund Research Program

Using Adductomic Signatures to Evaluate Risks of Superfund Chemicals

Project Leader: Stephen M. Rappaport
Co-Investigator: Luoping Zhang
Grant Number: P42ES004705
Funding Period: 2017-2022

Project-Specific Links

Title: Epigenome-wide association studies of occupational exposure to benzene and formaldehyde

Accession Number: Not available

Link to Dataset: https://github.com/rachaelvp/EWAS-BZ-FA

Repository: GitHub

Data Type(s): Code

Summary: Software code in the R programming language for two cross-sectional epigenome-wide association studies (EWAS) using HumanMethylation450 BeadChips: one EWAS in workers exposed to benzene, including 50 exposed and 48 unexposed subjects, and another in workers exposed to formaldehyde, including 31 exposed and 43 unexposed subjects.

Publication(s) associated with this dataset:
  • Phillips RV, Wei L, Cardenas A, Hubbard AE, McHale CM, Vermeulen R, Wei H, Smith MT, Zhang L, Lan Q, Rothman N. 2022. Epigenome-wide association studies of occupational exposure to benzene and formaldehyde. Epigenetics 1-19. doi:10.1080/15592294.2022.2115604 PMID:36017556
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