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

Project(s) associated with this dataset:

• University of California-Berkeley: Using Adductomic Signatures to Evaluate Risks of Superfund Chemicals
• University of California-Berkeley: Exposomics of Endocrine Disruption
• University of California-Berkeley: Data Science and Laboratory Core