TY - JOUR
AU1 - Lee, Andrew
AU2 - Mavaddat, Nasim
AU3 - Wilcox, Amber
AU4 - Cunningham, Alex
AU5 - Carver, Tim
AU6 - Hartley, Simon
AU7 - Babb de Villiers, Chantal
AU8 - Izquierdo, Angel
AU9 - Simard, Jacques
AU1 - Schmidt, Marjanka
AU1 - Walter, Fiona
AU1 - Chatterjee, Nilanjan
AU1 - Garcia-Closas, Montserrat
AU1 - Tischkowitz, Marc
AU1 - Pharoah, Paul
AU1 - Easton, Douglas
AU1 - Antoniou, Antonis
AB - ARTICLE Corrected: Author Correction BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors 1 1 2 Andrew Lee, MSci, CASM , Nasim Mavaddat, MBBS, PhD , Amber N. Wilcox, MPH , 1 1 1 Alex P. Cunningham, MSc, PhD , Tim Carver, PhD , Simon Hartley, MSc, PhD , 3 4 5 Chantal Babb de Villiers, PhD , Angel Izquierdo, MD , Jacques Simard, PhD , 6 3 7,8 Marjanka K. Schmidt, PhD , Fiona M. Walter, MD, FRCGP , Nilanjan Chatterjee, PhD , 2 9 1,10 Montserrat Garcia-Closas, MPH, DrPH , Marc Tischkowitz, MD, PhD , Paul Pharoah, PhD , 1,10 1 Douglas F. Easton, PhD and Antonis C. Antoniou, PhD Purpose: Breast cancer (BC) risk prediction allows systematic factors are considered jointly. With all factors, the predicted identification of individuals at highest and lowest risk. We extend lifetime risks for women in the UK population vary from 2.8% for the Breast and Ovarian Analysis of Disease Incidence and Carrier the 1st percentile to 30.6% for the 99th percentile, with 14.7% of Estimation Algorithm (BOADICEA) risk model to incorporate the women predicted to have a lifetime risk of ≥17–<30% (moderate effects of polygenic 
TI - BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors
JF - Genetics in Medicine
DO - 10.1038/s41436-018-0406-9
DA - 2019-01-15
UR - https://www.deepdyve.com/lp/springer-journals/boadicea-a-comprehensive-breast-cancer-risk-prediction-model-cViDADM4S7
SP - 1708
EP - 1718
VL - 21
IS - 8
DP - DeepDyve
ER -