Illustrating Cancer Risk: Patient Risk Communication Preferences and Interest regarding a Novel BRCA1/2 Genetic Risk Modifier Test. Academic Article uri icon

Overview

abstract

  • 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.

publication date

  • March 19, 2020

Research

keywords

  • Data Display
  • Data Visualization
  • Genetic Testing
  • Hereditary Breast and Ovarian Cancer Syndrome
  • Information Literacy
  • Risk Assessment

Identity

PubMed Central ID

  • PMC7272266

Scopus Document Identifier

  • 85082183679

Digital Object Identifier (DOI)

  • 10.1159/000505854

PubMed ID

  • 32191943

Additional Document Info

volume

  • 23

issue

  • 1-2