Innovations in next-generation DNA sequencing technologies, accompanied by exponential drops in cost, have made it possible for clinicians to begin to use whole genome sequencing (WGS) to diagnose, treat, and predict disease. The extent to which WGS will improve health outcomes on a population level, however, will depend on effective oversight of its commercialization and use. The regulations that currently guide the administration of single-gene tests were not designed to address the tsunami of genomic information generated by WGS, and the uncertainties related to its interpretation, clinical utility and potential indications. New policy approaches may be required to establish a system that guarantees appropriate, broad access to high-quality sequence data and valid reports while encouraging innovation. The proposed research study, which responds directly to the program announcement PA-11-250, will begin to systematically prioritize and address the unique policy challenges involved in translating WGS into health benefits in the United States. This study will identify, prioritize and begin to address some of these policy questions using a modified Delphi process that iteratively engages a diverse group of stakeholders. An initial landscape analysis of the current and emerging WGS industry, enhanced by interviews with industry leaders about the future of clinical WGS, will serve as the basis for understanding how WGS fits into-and how it may disrupt-the current regulatory framework. This analysis will inform the drafting of an initial list of policy questions. A panel of 40 key stakeholders, drawn from the genomics industry, clinical laboratories, insurers, health care systems, providers and patient groups, will then be iteratively surveyed to add to and refine this list, and to prioritize the resulting issues by importance and tractability. Policy approaches to address three high-priority issues related to test quality and validity, insurance reimbursement, and intellectual property will then be developed. Through another series of stakeholder surveys, the research team will collect, refine and evaluate ideas which will be discussed by the stakeholder panel at an in-person meeting to identify areas of agreement and reasons for disagreement. Findings will be distributed to stakeholder and policy communities in concise, accessible formats with the goal of informing policy development. Policy briefings and follow-up meetings with select federal officials, Congressional members and staff will be used to begin focused dialogues on clinical WGS. This project will be among the first to use a collaborative, systematic approach to inform stakeholders and U.S. policymakers about policy priorities surrounding the newest generation of health care genomics. Importantly, it will result in concrete, pragmatic policy approaches developed by a diverse group of experts.

Public Health Relevance

Patients will soon be able to learn the sequence of their entire genome-all of the DNA they inherited-and share it with health care professionals to help prevent, diagnose, and select treatments for diseases. The laws that ensure that the public has access to high- quality genetic tests were crafted before sequencing the genome was possible. This study will begin to develop a system of rules to make sure that (1) the new DNA tests are reliable and explanations of the results are accurate, (2) that people have access to these tests through the healthcare system, and (3) that new innovation in the area is rewarded without sacrificing quality or access.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Research Project (R01)
Project #
1R01HG006460-01A1
Application #
8371997
Study Section
Special Emphasis Panel (SEIR)
Program Officer
Mcewen, Jean
Project Start
2012-08-01
Project End
2015-07-31
Budget Start
2012-08-01
Budget End
2013-07-31
Support Year
1
Fiscal Year
2012
Total Cost
$634,698
Indirect Cost
$168,765
Name
Johns Hopkins University
Department
Type
Organized Research Units
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21218
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Messner, Donna A; Al Naber, Jennifer; Koay, Pei et al. (2016) Barriers to clinical adoption of next generation sequencing: Perspectives of a policy Delphi panel. Appl Transl Genom 10:19-24
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Bubela, Tania; Vishnubhakat, Saurabh; Cook-Deegan, Robert (2015) The Mouse That Trolled: The Long and Tortuous History of a Gene Mutation Patent That Became an Expensive Impediment to Alzheimer's Research. J Law Biosci 2:213-262
Bubela, Tania; Cook-Deegan, Robert (2015) Keeping score, strengthening policy and fighting bad actors over access to research tools. Nat Biotechnol 33:143-7
Deverka, Patricia A; Kaufman, David; McGuire, Amy L (2014) Overcoming the reimbursement barriers for clinical sequencing. JAMA 312:1857-8
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Deverka, Patricia A; Dreyfus, Jennifer C (2014) Clinical integration of next generation sequencing: coverage and reimbursement challenges. J Law Med Ethics 42 Suppl 1:22-41

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