Development of a breast cancer risk prediction model integrating monogenic, polygenic, and epidemiologic risk.
Sarah S KaliaNicholas J BoddickerSiddhartha YadavHongyan HuangJie NaChunling HuChristine B AmbrosoneSong YaoChristopher A HaimanFei ChenIsabelle DurotAllison W KurianBoya GuoSara LindströmPaul L AuerJames V LaceySusan L NeuhausenMaría Elena MartínezDale R SandlerKatie M O'BrienJack A TaylorLauren R TerasJames M HodgeAdriana LoriClara BodelonAmy Trentham-DietzElizabeth S BurnsideCeline M VachonStacey J WinhamDavid E GoldgarSusan M DomchekKatherine L NathansonJeffrey N WeitzelFergus J CouchPeter KraftPublished in: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology (2024)
Integrating monogenic, polygenic, and epidemiologic risk factors in breast cancer risk prediction models may inform personalized screening and prevention efforts.