Supplementary Material for: Illustrating Cancer Risk: Patient Risk Communication Preferences and Interest regarding a Novel BRCA1/2 Genetic Risk Modifier Test
datasetposted on 19.03.2020, 14:42 by Hamilton J.G., GenoffGarzon M., Shah I.H., Cadet K., Shuk E., Westerman J.S., Hay J.L., Offit K., Robson M.E.
Introduction: Genetic risk modifier testing (GRMT), an emerging form of genetic testing based on common single nucleotide polymorphisms and polygenic risk scores, has the potential to refine estimates of BRCA1/2 mutation carriers’ breast cancer risks. However, for women to benefit from GRMT, effective approaches for communicating this novel risk information are needed. Objective: To evaluate patient preferences regarding risk communication materials for GRMT. Methods: We developed four separate presentations (panel of genes, icon array, verbal risk estimate, graphical risk estimate) of hypothetical GRMT results, each using varying risk communication strategies to convey different information elements including number of risk modifier variants present, variant prevalence among BRCA1/2 carriers, and implications and uncertainties of test results for cancer risk. Thirty BRCA1/2 carriers evaluated these materials (randomized to low, moderate, or high breast cancer risk versions). Qualitative and quantitative data were obtained through in-person interviews. Results: Across risk versions, participants preferred the presentation of the graphical risk estimate, often in combination with the verbal risk estimate. Interest in GRMT was high; 76.7% of participants wanted their own GRMT. Participants valued the potential for GRMT to clarify their cancer susceptibility and provide actionable information. Many (65.5%) anticipated that GRMT would make risk management decisions easier. Conclusions: Women with BRCA1/2 mutations could be highly receptive to GRMT, and the minimal amount of necessary information to be included in result risk communication materials includes graphical and verbal estimates of future cancer risk. Findings will inform clinical translation of GRMT in a manner consistent with patients’ preferences.