Nature Communications (Aug 2020)
An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk
- Lang Wu,
- Yaohua Yang,
- Xingyi Guo,
- Xiao-Ou Shu,
- Qiuyin Cai,
- Xiang Shu,
- Bingshan Li,
- Ran Tao,
- Chong Wu,
- Jason B. Nikas,
- Yanfa Sun,
- Jingjing Zhu,
- Monique J. Roobol,
- Graham G. Giles,
- Hermann Brenner,
- Esther M. John,
- Judith Clements,
- Eli Marie Grindedal,
- Jong Y. Park,
- Janet L. Stanford,
- Zsofia Kote-Jarai,
- Christopher A. Haiman,
- Rosalind A. Eeles,
- Wei Zheng,
- Jirong Long,
- The PRACTICAL consortium,
- CRUK Consortium,
- BPC3 Consortium,
- CAPS Consortium,
- PEGASUS Consortium
Affiliations
- Lang Wu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa
- Yaohua Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center
- Xingyi Guo
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center
- Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center
- Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center
- Xiang Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center
- Bingshan Li
- Department of Molecular Physiology & Biophysics, Vanderbilt University
- Ran Tao
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center
- Chong Wu
- Department of Statistics, Florida State University
- Jason B. Nikas
- Research & Development, Genomix Inc
- Yanfa Sun
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa
- Jingjing Zhu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa
- Monique J. Roobol
- Department of Urology, Erasmus University Medical Center
- Graham G. Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne
- Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ)
- Esther M. John
- Department of Medicine (Oncology) and Stanford Cancer Institute, Stanford University School of Medicine
- Judith Clements
- Australian Prostate Cancer Research Centre-QLD, Institute of Health and Biomedical Innovation and School of Biomedical Science, Queensland University of Technology
- Eli Marie Grindedal
- Department of Medical Genetics, Oslo University Hospital
- Jong Y. Park
- Department of Cancer Epidemiology, Moffitt Cancer Center
- Janet L. Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center
- Zsofia Kote-Jarai
- Division of Genetics and Epidemiology, The Institute of Cancer Research, and The Royal Marsden NHS Foundation Trust
- Christopher A. Haiman
- Department of Preventive Medicine, University of Southern California
- Rosalind A. Eeles
- Division of Genetics and Epidemiology, The Institute of Cancer Research, and The Royal Marsden NHS Foundation Trust
- Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center
- Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center
- The PRACTICAL consortium
- CRUK Consortium
- BPC3 Consortium
- CAPS Consortium
- PEGASUS Consortium
- DOI
- https://doi.org/10.1038/s41467-020-17673-9
- Journal volume & issue
-
Vol. 11,
no. 1
pp. 1 – 11
Abstract
Genome wide association studies have identified multiple loci associated with risk of developing prostate cancer but the functional significance of many of these are unknown. Here, after generating models to predict methylation, the authors identify CpG methylation sites associated with prostate cancer.
