Towards precision prevention: Technologies for identifying healthy individuals with high risk of disease

Zachary D. Nagel1, Bevin P. Engelward2, David J. Brenner3, Thomas J. Begley4, Robert W. Sobol5, Jason H. Bielas6, Peter J. Stambrook7, Qingyi Wei8, Jennifer J. Hu9, Mary Beth Terry10,11, Caroline Dilworth12, Kimberly A. McAllister12, Les Reinlib12, Leroy Worth12, Daniel T. Shaughnessy12
1Department of Environmental Health, Harvard School of Public Health, Boston, MA 02115, USA
2Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
3Center for Radiological Research, Department of Radiation Oncology, Columbia University Medical Center, New York, NY, 10032, USA
4Colleges of Nanoscale Science and Engineering, SUNY Polytechnic Institute, Albany, NY 12203, USA
5Department of Oncologic Sciences, Mitchell Cancer Institute, University of South Alabama, Mobile, AL 36604, USA
6Translational Research Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
7Department of Molecular Genetics, University of Cincinnati College of Medicine, OH, 45267, Cincinnati, USA
8Department of Medicine, Duke Cancer Institute, Duke University Medical Center, Duke University School of Medicine, Durham, NC, 27710, USA
9Department of Public Health Sciences and Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
10Department of Epidemiology, Mailman School of Public Health of Columbia University, New York, NY, USA
11Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, USA
12Division of Extramural Research and Training, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, NC, 27713, USA