Abstract 3583: The Breast Cancer Risk Prediction Project: a resource of 1.8 million women with diverse backgrounds from 20 prospective cohorts to improve breast cancer risk prediction and advance breast cancer epidemiology
Year: 2025
Type: conference-abstract
Source: Cancer Research
Authors: Peter Kraft, Laura Beane-Freeman, Julie Palmer, Ellen O'Meara, Jeanine Genkinger, James Lacey, Thomas Rohan, Lauren Teras, Marian L. Neuhouser, Kala Visvanathan, Celine Vachon, Roger Milne, Christopher Haiman, Yu Chen, Heather Eliassen, Cari Kitahara, Katie O'Brien, Emily White, Garnet Anderson, I-Min Lee, Archie Campbell, Renee Fortner, Ylva Lagerros, Sven Sandin, Mia Gaudet, Montserrat Garcia-Closas, Nilanjan Chatterjee
Institutions: National Cancer Institute, Boston University, Kaiser Permanente Washington Health Research Institute, Columbia University, City Of Hope National Medical Center, Albert Einstein College of Medicine, American Cancer Society, Fred Hutch Cancer Center, Johns Hopkins University, Mayo Clinic, Cancer Council Victoria, University of Southern California, NYU Langone Health, New York University, Harvard University, National Institute of Environmental Health Sciences, University of Edinburgh, Karolinska Institutet, Institute of Cancer Research
Language: English
Topic: Cancer Risks and Factors
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: closed
OpenAlex ID: W4409625171