Development of a Breast Cancer Risk Prediction Model Integrating Monogenic, Polygenic, and Epidemiologic Risk.

doi:10.1158/1055-9965.EPI-24-0594

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Development of a Breast Cancer Risk Prediction Model Integrating Monogenic, Polygenic, and Epidemiologic Risk.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology - 1 Nov 2024

Kalia Sarah S, Boddicker Nicholas J, Yadav Siddhartha, Huang Hongyan, Na Jie, Hu Chunling, Ambrosone Christine B, Yao Song, Haiman Christopher A, Chen Fei, John Esther M, Kurian Allison W, Guo Boya, Lindstrӧm Sara, Auer Paul, Lacey James V, Neuhausen Susan L, Martinez Maria Elena, Sandler Dale P, O'Brien Katie M, Taylor Jack A, Teras Lauren R, Hodge James M, Lori Adriana, Bodelon Clara, Trentham-Dietz Amy, Burnside Elizabeth S, Vachon Celine M, Winham Stacey J, Goldgar David E, Domchek Susan M, Nathanson Katherine L, Weitzel Jeffrey N, Couch Fergus J, Kraft Peter

Abstract excerpt

BACKGROUND: Breast cancer has been associated with monogenic, polygenic, and epidemiologic (clinical, reproductive, and lifestyle) risk factors, but studies evaluating the combined effects of these factors have been limited. METHODS: We extended previous work in breast cancer risk modeling, incorporating pathogenic variants (PV) in six breast cancer predisposition genes and a 105-SNP polygenic risk score (PRS),...

Topics

Humans
Female
Breast Neoplasms
Genetic Predisposition to Disease
Middle Aged
Case-Control Studies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Risk Factors

Risk Assessment

Multifactorial Inheritance

Adult

Aged

Prospective Studies

Polymorphism, Single Nucleotide

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PMID: 39259185
DOI: 10.1158/1055-9965.EPI-24-0594
PMCID: PMC11530304

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CHEK2
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