Hereditary cancer risk can be accurately estimated using genetic and family history models.
Multiple clinical and genetic studies demonstrate that hereditary cancer risk can be effectively estimated using combined genetic models, polygenic risk scores, and family history data.
The retrieved literature robustly supports the claim that hereditary cancer risk can be accurately estimated using genetic and family history models. Numerous studies across different cancers (breast, ovarian, cardiometabolic conditions, and general panels) demonstrate that combining genetic variants (such as polygenic risk scores and pathogenic mutations) with family history and clinical variables improves risk stratification, predictive accuracy, and clinical management. There are no papers refuting this consensus.
G. Vasileiou, M. J. Costa, Christopher Long, Iris R. Wetzler, Juliane Hoyer, C. Kraus, B. Popp, J. Emons, M. Wunderle, E. Wenkel, M. Uder, M. Beckmann, S. Jud, P. Fasching, A. Cavallaro, A. Reis, M. Hammon. Breast MRI texture analysis for prediction of BRCA-associated genetic risk. 2020. https://doi.org/10.1186/s12880-020-00483-2
Demonstrates that combining genetic factors, imaging, and family cancer history effectively predicts hereditary breast cancer risk.
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S. Stiller, S. Drukewitz, K. Lehmann, J. Hentschel, V. Strehlow. Clinical Impact of Polygenic Risk Score for Breast Cancer Risk Prediction in 382 Individuals with Hereditary Breast and Ovarian Cancer Syndrome. 2023. https://doi.org/10.3390/cancers15153938
Shows that incorporating polygenic risk scores into standard genetic testing improves breast cancer risk stratification and clinical recommendations.
Patel K, Dite GS, Spaeth EL, Rosner BA. Validation of a Clinical and Polygenic Risk Prediction Model for Ovarian Cancer in the Nurses' Health Study.. 2026. https://doi.org/10.1158/1940-6207.capr-24-0528
Validates a combined clinical and polygenic risk prediction model for ovarian cancer screening and prevention.
Onyenobi E, Oyibo K, Zhong M, Adebamowo SN. Evaluating the impact of family history and polygenic risk scores on cardiometabolic disease risk.. 2026. https://doi.org/10.1186/s12916-026-04666-6
Indicates that both family history and polygenic risk scores are significantly associated with disease risk and enhance risk stratification when integrated.
Tüchler A, Grohs L, Volk A, Aretz S. Polygenic risk scores in cancer.. 2026. https://doi.org/10.1515/medgen-2026-3011
Notes that polygenic risk scores refine cancer risk prediction beyond family history and age across multiple cancer types.
Liang JW, Idos GE, Hong C, Shannon KM, Bear LM, Pichardo JM, Guan Z, McCarthy AM, Ford JM, Kurian AW, Gruber SB, Braun D, Parmigiani G. Evaluating a Mendelian Risk Prediction Model That Aggregates Across Genes and Cancers.. 2026. https://doi.org/10.1002/gepi.70038
Evaluates Mendelian risk prediction models that aggregate across genes and family histories to accurately identify heritable cancer susceptibility.
Corredor JL, Li R, Dodd-Eaton EB, Casey J, Woodson AH, Nguyen NH, Peng G, Gutierrez AM, Arun BK, Wang W. Performance of LFSPRO prediction in TP53 mutation status for prospectively collected probands.. 2026. https://doi.org/10.1016/j.ajhg.2026.03.014
Demonstrates that family-history-based Mendelian models like LFSPRO provide strong discriminatory performance in predicting hereditary cancer risk.
Chen X, Ke J, Flynn L, Parmigiani G, Braun D. Web-Based User Interface for Fam3PRO: A Multigene, Multicancer Risk Prediction Model for Families With Cancer History.. 2026. https://doi.org/10.1200/cci-25-00332
Presents validated multigene, multicancer Mendelian models that estimate patient risk of carrying pathogenic variants based on family history and genetic factors.
Gu W, Xu C, Fu J, Lei H, Khan NU, Lei R, Chen X, Wang XJ, Chen T. Clinical predictors of <i>BRCA1/2</i> P/LP variants for high-risk breast cancer patients in China: <i>HBRCA-risk prediction</i>.. 2026. https://doi.org/10.3389/fonc.2026.1779548
Shows that clinicopathology-based models incorporating family history and genetic markers effectively predict hereditary breast cancer risk in clinical cohorts.
Sun Y, Simmons T, Li JL, Jamal A, Manirakiza AVC, Pruss D, Ratzel S, Olopade OI, Gutin A, Hughes E, Huo D. Polygenic Risk Scores for Breast Cancer Among African American Women With High Risk.. 2026. https://doi.org/10.1001/jamanetworkopen.2026.19285
Evaluates polygenic risk scores alongside family history to provide accurate breast cancer risk stratification in diverse populations.
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