Journal article

Prospective evaluation of a breast-cancer risk model integrating classical risk factors and polygenic risk in 15 cohorts from six countries.

Amber N Hurson, Parichoy Pal Choudhury, Chi Gao, Anika Hüsing, Mikael Eriksson, Min Shi, Michael E Jones, D Gareth R Evans, Roger L Milne, Mia M Gaudet, Celine M Vachon, Daniel I Chasman, Douglas F Easton, Marjanka K Schmidt, Peter Kraft, Montserrat Garcia-Closas, Nilanjan Chatterjee, undefined B-CAST Risk Modelling Group

Int J Epidemiol | Published : 2021


BACKGROUND: 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. METHODS: Fifteen prospective cohorts from six countries with 239 340 women (7646 incident breast-cancer cases) of European ancestry aged 19-75 years were included. Calibration of 5-year risk was assessed by comparing expected and observed proportions of cases overall and within risk categories. Risk stratification for women of European ancestry ag..

View full abstract


Awarded by Cancer UK

Awarded by NIH

Awarded by National Heart, Lung, and Blood Institute

Awarded by NIHR Manchester Biomedical Research Centre

Awarded by Regional Governments of Andalucía, Asturias, Basque Country, Murcia and Navarra, ISCIII RETIC

Awarded by Cancer Research UK

Awarded by National Cancer Institute

Awarded by iCOGS infrastructure came from the European Community's Seventh Framework Programme

Awarded by Medical Research Council

Awarded by Health Research Fund

Awarded by Australian NHMRC

Awarded by European Union's Horizon 2020 Research and Innovation Programme

Awarded by European Community’s Seventh Framework Programme

Awarded by NIHR

Awarded by Post-Cancer GWAS initiative

Awarded by National Institutes of Health

Awarded by Department of Defense

Awarded by Intramural Research Program of the NIH, National Institute of Environmental Health Sciences

Awarded by Government of Canada through Genome Canada and the Canadian Institutes of Health Research

Awarded by Patient-Centered Outcomes Research Institute

Awarded by The DRIVE Consortium

Awarded by Ministère de l’Économie, Science et Innovation du Québec through Genome Québec