AUTHOR=Dalpé Gratien , Ngueng Feze Ida , Salman Shahad , Joly Yann , Hagan Julie , Lévesque Emmanuelle , Dorval Véronique , Blouin-Bougie Jolyane , Amara Nabil , Dorval Michel , Simard Jacques TITLE=Breast Cancer Risk Estimation and Personal Insurance: A Qualitative Study Presenting Perspectives from Canadian Patients and Decision Makers JOURNAL=Frontiers in Genetics VOLUME=Volume 8 - 2017 YEAR=2017 URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2017.00128 DOI=10.3389/fgene.2017.00128 ISSN=1664-8021 ABSTRACT=
Genetic stratification approaches in personalized medicine may considerably improve our ability to predict breast cancer risk for women at higher risk of developing breast cancer. Notwithstanding these advantages, concerns have been raised about the use of the genetic information derived in these processes, outside of the research and medical health care settings, by third parties such as insurers. Indeed, insurance applicants are asked to consent to insurers accessing their medical information (implicitly including genetic) to verify or determine their insurability level, or eligibility to certain insurance products. This use of genetic information may result in the differential treatment of individuals based on their genetic information, which could lead to higher premium, exclusionary clauses or even the denial of coverage. This phenomenon has been commonly referred to as “Genetic Discrimination” (GD). In the Canadian context, where federal Bill S-201,