Risk Prediction for Epithelial Ovarian Cancer in 11 United States–Based Case-Control Studies: Incorporation of Epidemiologic Risk Factors and 17 Confirmed Genetic Loci

Document Details

Document Type
Pub Defense Publication
Publication Date
Oct 03, 2016
Source ID
10.1093/aje/kww091

Entities

People

  • Alice S. Whittemore
  • Andrew Berchuck
  • Anna H. Wu
  • Argyrios Ziogas
  • Brooke L. Fridley
  • Celeste Leigh Pearce
  • Daniel Stram
  • Daniel W. Cramer
  • Edwin S. Iversen
  • Elisa V. Bandera
  • Elizabeth M Poole
  • Ellen L Goode
  • Francesmary Modugno
  • Galina Lurie
  • Harvey A. Risch
  • Hoda Anton-Culver
  • Jennifer A Doherty
  • Joellen M. Schildkraut
  • Joseph H. Rothstein
  • Julie M. Cunningham
  • Kara L. Cushing-haugen
  • Kathryn L. Terry
  • Kirsten B. Moysich
  • Kristine G. Wicklund
  • Malcolm C Pike
  • Marc T. Goodman
  • Mary Anne Rossing
  • Merlise A. Clyde
  • Michael E. Carney
  • Nicolas Wentzensen
  • Pamela J. Thompson
  • Rachel Palmieri Weber
  • Robert P. Edwards
  • Robert Vierkant
  • Roberta B. Ness
  • Sara H. Olson
  • Shelley S. Tworoger
  • Thomas A. Sellers
  • Valerie Mcguire
  • Weiva Sieh

Organizations

  • California Breast Cancer Research Program
  • Cancer Prevention Institute of California
  • Mayo Foundation for Medical Education and Research
  • Minnesota Ovarian Cancer Alliance
  • National Institutes of Health
  • National Science Foundation
  • United States Department of Defense
  • United States Public Health Service

Tags

Technology Areas

  • Biotechnology