Cancer treatment–associated DNA methylation signatures in childhood cancer survivors (SJLIFE)

This dataset contains EWAS results for the following study: "Epigenome-wide analysis identifies DNA methylation mediators of treatment-related cardiometabolic risk in survivors of childhood cancer" Authors:Tiffany Eulalio, Yoonji Kim, Xiaoxi Meng, Noel-Marie Plonski, Kyla Shelton, Heather Mulder, Emily Plyler, John Easton, Xiang Chen, Jinghui Zhang, Emily Walker, Geoffrey Neale, Min Ni, John T. Lucas Jr., Nilanjan Chatterjee, Ziqiao Wang, Deokumar Srivastava, Bonnie Ky, Stephanie B. Dixon, Kirsten K. Ness, Melissa M. Hudson, Gregory T. Armstrong, and Zhaoming Wang. Dataset Contents This dataset contains summary statistics from analyses evaluating associations between cancer treatment exposures and DNA methylation levels in childhood cancer survivors enrolled in the St. Jude Lifetime Cohort (SJLIFE). DNA methylation was measured in peripheral blood mononuclear cells (PBMCs). For each cancer treatment exposure, associations with CpG-level DNA methylation were tested using regression models adjusting for relevant demographic and clinical covariates, as described in the associated publication. The dataset includes effect estimates, standard errors, test statistics, and p-values for each treatment–CpG association. Intended Use These summary statistics are intended to support transparency, reproducibility, and secondary analyses, including cross-study comparisons, enrichment analyses, and integration with external epigenomic or genetic resources. Individual-level participant data are not included. Data Access and Ethics The dataset contains only de-identified, aggregate-level summary statistics and does not include any individual-level clinical or molecular data. Use of these data is subject to the terms described in the associated publication and relevant data use agreements governing the SJLIFE cohort. Corresponding Author Zhaoming Wang, PhDHealth Informatics Institute, Morsani College of Medicine &Bellini College of Artificial Intelligence, Cybersecurity and ComputingUniversity of South Florida, Tampa, FL, USAEmail: [e-mail] Notes Results from sensitivity analyses (e.g., incident-only outcomes and alternative model specifications) are not included in this dataset but are described in the manuscript and Supplementary Information.