Abstract PR17: Comprehensive colorectal cancer risk prediction to inform personalized screening and intervention

Conclusions: Our risk prediction models incorporating both comprehensive environmental and lifestyle risk factors, and known CRC common genetic variants provide more accurate estimation of CRC risk. These models will be useful for recommending individually tailored screening and intervention strategies to prevent this common cancer.This abstract is also being presented as Poster B17.Citation Format: Jihyoun Jeon, Sonja I. Berndt, Hermann Brenner, Peter T. Campbell, Andrew T. Chan, Jenny Chang-Claude, Mengmeng Du, Graham Giles, Jian Gong, Stephen B. Gruber, Tabitha A. Harrison, Michael Hoffmeister, Loic LeMarchand, Li Li, John D. Potter, Gad Rennert, Robert E. Schoen, Martha L. Slattery, Emily White, Michael O. Woods, Ulrike Peters, Li Hsu. Comprehensive colorectal cancer risk prediction to inform personalized screening and intervention. [abstract]. In: Proceedings of the AACR Special Conference: Improving Cancer Risk Prediction for Prevention and Early Detection; Nov 16-19, 2016; Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2017;26(5 Suppl):Abstract nr PR17.

Source: Cancer Epidemiology Biomarkers and Prevention - April 30, 2017 Category: Cancer & Oncology Authors: Jeon, J., Berndt, S. I., Brenner, H., Campbell, P. T., Chan, A. T., Chang-Claude, J., Du, M., Giles, G., Gong, J., Gruber, S. B., Harrison, T. A., Hoffmeister, M., LeMarchand, L., Li, L., Potter, J. D., Rennert, G., Schoen, R. E., Slattery, M. L., White, Tags: Improving Cancer Risk Prediction for Prevention and Early Detection: Oral Presentations - Proffered Abstracts Source Type: research