Prospective evaluation of a breast-cancer risk model integrating classical risk factors and polygenic risk in 15 cohorts from six countries
Abstract
Rigorous evaluation of the calibration and discrimination of breast-cancer risk-prediction models in prospective cohorts is critical for applications under clinical guidelines. We comprehensively evaluated an integrated model incorporating classical risk factors and a 313-variant polygenic risk score (PRS) to predict breast-cancer risk.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Mar 23, 2021
- Source ID
- 10.1093/ije/dyab036
Entities
People
- Amber N Hurson
- Anika Hüsing
- Celine M. Vachon
- Chi Gao
- Daniel I Chasman
- Douglas F. Easton
- For The B-cast Risk Modelling Group
- Gareth Evans
- Marjanka K Schmidt
- Mia M. Gaudet
- Michael E Jones
- Mikael Eriksson
- Min Shi
- Montserrat García-Closas
- Nilanjan Chatterjee
- Parichoy Pal Choudhury
- Peter Kraft
- Roger L. Milne
Organizations
- American Cancer Society
- Brigham and Women's Hospital
- Cancer Council Victoria
- Cancer Research UK
- German Cancer Research Center
- Harvard Medical School
- Harvard University
- Institute of Cancer Research
- Johns Hopkins University
- Karolinska Institutet
- Manchester Academic Health Science Centre
- Mayo Clinic
- Monash University
- National Cancer Institute
- National Institutes of Health
- Quebec Breast Cancer Foundation
- United States Department of Defense
- University of Cambridge
- University of Manchester
- University of Melbourne
- University of North Carolina at Chapel Hill