The overall goal of the proposed research is to advance policy approaches to support Precision Medicine research (PMR) with American Indian and Alaska Native (AIAN) people through culturally respectful dialogue, empiric data collection, and deliberation with rural and urban AIAN community members and tribal representatives in Alaska and Montana.
Health-relevant information no longer comes just from electronic medical records but also from the digital footprints left behind when people use mobile applications, search the internet, wear activity monitoring devices, access direct-to-consumer health care testing, or simply converse in social media. Many efforts including those tied to the Precision Medicine Initiative (PMI) are fueling the development of large population-based databases that link clinical and genetic information.
Background: There is great interest in the implementation of genomic medicine, i.e., using genomic information to inform patient care. As a result, patients with medically actionable (preventable and/or treatable) genetic conditions are being identified, often as an unsolicited secondary finding or a result of screening in the absence of a clinically known condition. The identification of a previously unsuspected medically actionable condition enhances the ability of health care providers' (HCPs) to intervene early to prevent disease.
The potential benefits and harms of returning genomic results to children and their parents are matters of enduring controversy--especially genomic results for adult-onset conditions that are not medically actionable in childhood. Returning results for adult-onset conditions can spur life-saving preventive measures in the parents of affected children. However, there has been long-standing concern that children who receive a result for an adult-onset condition might experience negative psychosocial outcomes such as distress or altered family functioning.
Patient engagement is critical for implementation of the genomic component of precision medicine--with care taken to include the perspectives and needs of patients. Yet many patients may experience significant barriers to understanding genetic information and/or using the electronic patient portals that many health systems are using to meet the terms of meaningful use related to the return of laboratory and test results.
Stephanie Kraft, JD, is an Acting Instructor in the Division of Bioethics, Department of Pediatrics, University of Washington School of Medicine. She has a background in law and economics and has completed postdoctoral fellowships in bioethics at the Stanford Center for Biomedical Ethics and the Treuman Katz Center for Pediatric Bioethics at Seattle Children?s Hospital and Research Institute. Her prior work includes mixed methods studies related to informed consent and the ethical, legal, and social implications (ELSI) of genetics and genomics.
The application of new computerized methods of data analysis to vast collections of medical, biological, and other data is emerging as a central feature of a broad vision of precision medicine (PM) in which systems based on artificial intelligence (AI) assist clinicians in treatment, diagnosis, or prognosis. The use of AI to analyze big data for clinical decision-making opens up a new domain for ELSI inquiry to address a possible future when the implications of genetics and genomics become embedded into algorithms, pervasive yet implicit and difficult to identify.
The state of knowledge regarding the human microbiome is advancing rapidly and a burgeoning new area of research and development is microbiome-based diagnostics. There is much that is not yet known about the implications of microbiome-based diagnostic or screening test results and it is possible that existing laws and regulations that did not contemplate these technological advancements are not adequate to address legal, regulatory, ethical and social concerns they raise.
Sexual and gender minorities (SGMs) experience significant disparities in health and health care. These inequities result from complex interactions among social, political, environmental, and genomic factors, all of which must be understood if we are to address these disparities. The research needed to understand the health issues faced by SGM populations will often require analysis of large collections of individual phenotypic and behavioral information, community characteristics, and large-scale genomic data.
Project Narrative The potential benefits and harms of returning genomic results to children and their parents are matters of enduring controversy?especially genomic results for adult-onset conditions that are not medically actionable in childhood. Empirical data to support either position in this controversy are, however, lacking.