Published March 2024
| Version v4
Journal article
Open
Integrating Genome and Epigenome Data to Identify Tissue-specific DNA Methylation Biomarkers for Cancer Risk
Creators
- 1. Center for Public Health Genomics, Department of Public Health Sciences, UVA Comprehensive Cancer Center, School of Medicine, University of Virginia, Charlottesville, VA,
- 2. Frontiers Science Center for Disease‑Related Molecular Network, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- 3. Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
- 4. Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- 5. Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
Description
DNA methylation prediction models for seven tissue types, including breast, colon, kidney, lung, ovary, prostate, and testis. Data from Gene-Tissue Expression (GTEx) consortium were utilized for single- and cross-tissue model development using elastic net and multivariate-response penalized regression, respectively. In this version, subjects of diverse ancestries were included.
Files
Elastic net models.zip
Additional details
Identifiers
- Other
- https://www.medrxiv.org/content/10.1101/2023.08.09.23293899v1