ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2021
Simplified Breast Risk Tool Integrating Questionnaire Risk Factors, Mammographic Density, and Polygenic Risk Score: Development and Validation.
Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Development and performance of female breast cancer incidence risk prediction models: a systematic review and meta-analysis.Annals of medicine · 2025Pooled it
- A systematic review of prediction models for risk of breast cancer.BMC cancer · 2025Pooled it
- Statistically Significant Association Does not Imply Improvement in Prediction of Clinical Outcomes.Cancer prevention research (Philadelphia, Pa.) · 2025Article
- Validation of a Dynamic Risk Prediction Model Incorporating Prior Mammograms in a Diverse Population.JAMA network open · 2025Article
- Development and Validation of Dynamic 5-Year Breast Cancer Risk Model Using Repeated Mammograms.JCO clinical cancer informatics · 2024Article
- Machine learning techniques to identify risk factors of breast cancer among women in Mashhad, Iran.Journal of preventive medicine and hygiene · 2024Article
- Review
- Inference on the Genetic Architecture of Breast Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023Article
- Association and Prediction Utilizing Craniocaudal and Mediolateral Oblique View Digital Mammography and Long-Term Breast Cancer Risk.Cancer prevention research (Philadelphia, Pa.) · 2023Article
- Epidemiology and Risk Factors for Breast Cancer: 21st Century Advances, Gaps to Address through Interdisciplinary Science.Cold Spring Harbor perspectives in medicine · 2023Review
- Validation of a breast cancer risk prediction model based on the key risk factors: family history, mammographic density and polygenic risk.Breast cancer research and treatment · 2023Article
- Development and Validation of a Breast Cancer Polygenic Risk Score on the Basis of Genetic Ancestry Composition.JCO precision oncology · 2022Article
- A Multi-State Survival Model for Time to Breast Cancer Mortality among a Cohort of Initially Disease-Free Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022Article
- Prediction of Breast Cancer using Machine Learning Approaches.Journal of biomedical physics & engineering · 2022Article
- Joanne Knight Breast Health Cohort at Siteman Cancer Center.Cancer causes & control : CCC · 2022Article
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Abstract
backgroundClinical use of breast cancer risk prediction requires simplified models. We evaluate a simplified version of the validated Rosner-Colditz model and add percent mammographic density (MD) and polygenic risk score (PRS), to assess performance from ages 45-74. We validate using the Mayo Mammography Health Study (MMHS).
methodsWe derived the model in the Nurses' Health Study (NHS) based on: MD, 77 SNP PRS and a questionnaire score (QS; lifestyle and reproductive factors). A total of 2,799 invasive breast cancer cases were diagnosed from 1990-2000. MD (using Cumulus software) and PRS were assessed in a nested case-control study. We assess model performance using this case-control dataset and evaluate 10-year absolute breast cancer risk. The prospective MMHS validation dataset includes 21.8% of women age <50, and 434 incident cases identified over 10 years of follow-up.
resultsIn the NHS, MD has the highest odds ratio (OR) for 10-year risk prediction: OR
conclusionA simplified assessment of QS, MD, and PRS performs consistently to discriminate those at high 10-year breast cancer risk. IMPACT: This simplified model provides accurate estimation of 10-year risk of invasive breast cancer that can be used in a clinical setting to identify women who may benefit from chemopreventive intervention.
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