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

Tags

Readers

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