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Open Access
Peer-reviewed
Research Article
Addition of a polygenic risk score, mammographic density, and endogenous hormones to existing breast cancer risk prediction models: A nested case–control study
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Xuehong Zhang ,
Roles Conceptualization, Formal analysis, Methodology, Writing – original draft, Writing – review & editing
* E-mail: xuehong.zhang@channing.harvard.edu
Affiliation Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
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Megan Rice,
Roles Methodology, Writing – review & editing
Affiliation Clinical and Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
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Shelley S. Tworoger,
Roles Methodology, Writing – review & editing
Affiliations Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America, Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, United States of America
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Bernard A. Rosner,
Roles Formal analysis, Methodology, Writing – review & editing
Affiliations Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America, Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
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A. Heather Eliassen,
Roles Methodology, Writing – review & editing
Affiliations Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
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Rulla M. Tamimi,
Roles Methodology, Writing – review & editing
Affiliations Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
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Amit D. Joshi,
Roles Methodology, Writing – review & editing
Affiliations Clinical and Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
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Sara Lindstrom,
Roles Methodology, Writing – review & editing
Affiliations Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America, Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
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Jing Qian,
Roles Formal analysis, Methodology, Writing – review & editing
Affiliation Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, Massachusetts, United States of America
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Graham A. Colditz,
Roles Methodology, Writing – review & editing
Affiliation Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, United States of America
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Walter C. Willett,
Roles Investigation, Writing – review & editing
Affiliations Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America, Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
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Peter Kraft,
Roles Formal analysis, Methodology, Writing – review & editing
Affiliations Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America, Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
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Susan E. Hankinson
Roles Conceptualization, Investigation, Supervision, Writing – review & editing
Affiliations Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America, Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, Massachusetts, United States of America
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Addition of a polygenic risk score, mammographic density, and endogenous hormones to existing breast cancer risk prediction models: A nested case–control study
- Xuehong Zhang,
- Megan Rice,
- Shelley S. Tworoger,
- Bernard A. Rosner,
- A. Heather Eliassen,
- Rulla M. Tamimi,
- Amit D. Joshi,
- Sara Lindstrom,
- Jing Qian,
- Graham A. Colditz
- Published: September 4, 2018
- https://doi.org/10.1371/journal.pmed.1002644