More research is needed identify approaches to improve how patients and providers understand, communicate, and make choices about using exome sequencing to guide health care decisions. These challenges are further compounded in populations with limited literacy or other barriers to meaningfully understand or act upon results. To address these issues, this project will recruit >60% racially, ethnically, and socioeconomically diverse patients. The proposed project is an extension of our CSER1 project on carrier testing as both projects involve screening healthy people in integrated health systems to allow the unique opportunity to evaluate downstream health care decisions. Leveraging stakeholder input garnered through CSER1, the project objective is to implement a hereditary cancer risk assessment program in healthy 18-50 year-olds in primary care settings within vertically integrated health delivery systems (Kaiser Permanente) and a federal qualified health center (Denver Health) and compare the impact of exome sequencing in 1100 patients to patients who seek usual care. The project will focus on hereditary breast and ovarian cancer and Lynch syndrome, for which there are established clinical recommendations for cancer prevention. We will assess: 1) exome sequencing implementation and interpretation; 2) tailored interactions including a contextualized consent process, a novel decision aid for selecting the optional categories of additional results, and a modified approach to results disclosure and genetic counseling; 3) tools for medical interpreters (interactive web-based education) and primary care providers (electronic heath management tool); 4) the clinical utility (healthcare utilization and adherence to recommended care) and personal utility of primary and additional results from exome sequencing; 5) the costs of the program; and 6) the ethical and policy implications of considering personal utility of genomic information on decisions for health care coverage. This experienced team was highly productive in CSER1 and has the capability to successfully carry out the proposed research, with expertise in genetic epidemiology, medical genetics, health communications, health informatics, economics, anthropology, biostatistics, and bioethics. We will engage diverse stakeholders including patients, providers, and health systems administrators in the design, implementation, and analyses and will employ ethnographic methods to assess the research team activities. Our unique patient populations and integrated health information systems will allow us to investigate relevance of exome sequencing on downstream health care utilization and costs. The results of this project, which leverages an established clinical genetics paradigm, will provide a model to address challenges in equity for access to exome sequencing among underserved and diverse patients that can be applied to additional aspects of genomic medicine in the future.

Public Health Relevance

Exome sequencing is quickly changing how we practice medicine. Additional research needs to demonstrate its utility and see how it affects care in diverse populations. This study will assess how to best use exome sequencing and how to apply it to diverse populations.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Research Project--Cooperative Agreements (U01)
Project #
3U01HG007292-06S1
Application #
9689679
Study Section
Special Emphasis Panel (ZHG1)
Program Officer
Hindorff, Lucia
Project Start
2013-06-14
Project End
2019-05-31
Budget Start
2018-09-13
Budget End
2019-05-31
Support Year
6
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Kaiser Foundation Research Institute
Department
Type
DUNS #
150829349
City
Oakland
State
CA
Country
United States
Zip Code
94612
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Himes, Patricia; Kauffman, Tia L; Muessig, Kristin R et al. (2017) Genome sequencing and carrier testing: decisions on categorization and whether to disclose results of carrier testing. Genet Med 19:803-808
Tan, Nina; Amendola, Laura M; O'Daniel, Julianne M et al. (2017) Is ""incidental finding"" the best term?: a study of patients' preferences. Genet Med 19:176-181

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