Clinical implications of incorporating genetic and non-genetic risk factors in CanRisk-based breast cancer risk prediction

Clinical implications of incorporating genetic and non-genetic risk factors in CanRisk-based breast cancer risk prediction

Background: Breast cancer (BC) risk prediction models consider cancer family history (FH) and germline pathogenic variants (PVs) in risk genes. It remains elusive to what extent complementation with polygenic risk score (PRS) and non-genetic risk factor (NGRFs) data affects individual intensified br...

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Bibliographic Details
Main Authors: Anja Tüchler, Antoine De Pauw, Corinna Ernst, Amélie Anota, Inge M.M. Lakeman, Julia Dick, Nienke van der Stoep, Christi J. van Asperen, Monika Maringa, Natalie Herold, Britta Blümcke, Robert Remy, Anke Westerhoff, Denise J. Stommel-Jenner, Eléonore Frouin, Lisa Richters, Lisa Golmard, Nadine Kütting, Chrystelle Colas, Barbara Wappenschmidt, Kerstin Rhiem, Peter Devilee, Dominique Stoppa-Lyonnet, Rita K. Schmutzler, Eric Hahnen
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Breast
Subjects:
Breast cancer
Genetic testing
Hereditary breast and ovarian cancer syndrome
Cancer prevention
Online Access:http://www.sciencedirect.com/science/article/pii/S0960977623007415

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http://www.sciencedirect.com/science/article/pii/S0960977623007415

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