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Breast cancer risk stratification using genetic and non-genetic risk assessment tools for 246,142 women in the UK Biobank.

Genetics in medicine : official journal of the American College of Medical Genetics - 1 Oct 2023

Ho Peh Joo, Lim Elaine H, Hartman Mikael, Wong Fuh Yong, Li Jingmei

Abstract excerpt

PURPOSE: The benefit of using individual risk prediction tools to identify high-risk individuals for breast cancer (BC) screening is uncertain, despite the personalized approach of risk-based screening. METHODS: We studied the overlap of predicted high-risk individuals among 246,142 women enrolled in the UK Biobank. Risk predictors assessed include the Gail model (Gail), BC family history (FH, binary), BC...

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PMID: 37334786
DOI: 10.1016/j.gim.2023.100917

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