In this highly collaborative multi-disciplinary initiative, we propose to explore and compare the impact of using WGS in clinical conditions that model pure forms of each of these approaches. To model General Genomic Medicine, 10 primary care physicians and 100 of their healthy middle-aged patients will be enrolled. To model Disease-Specific Genomic Medicine, 10 cardiologists and 100 of their patients presenting with familial hypertrophic cardiomyopathy (HCM) will be enrolled. We will conduct an exploratory clinical trial randomizing physicians and their patients within each of these models to receive clinically meaningful information derived from WGS versus current standard of care. Project 1 will create standards for variant disclosure, enroll physicians and patients into the protocol and safely monitor the use of genomic information in clinical practice. Project 2 will sequence, analyze and interpret WGS for the physicians to use. And Project 3 will examine preferences and motivations of physicians and patients enrolled, evaluate the flow and utilization of genomic information within the clinical interactions, and assess understanding, behavior, medical consequences and healthcare costs associated with the use of WGS in these models of medical practice. This initiative will significantly accelerate the use of genomics into clinical medicine by creating and safely testing novel ways of integrating information from WGS into physician care of patients.

Public Health Relevance

Physicians will soon use WGS to derive insight into future health risks and inform prevention efforts in healthy patients and to interrogate particular sets o genes known to be associated with disease in patients presenting with a family history and symptoms. The results of this study will accelerate the use of genomics in clinical medicine by creating and testing ways to integrate WGS into physician care of patients.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01HG006500-03
Application #
8586322
Study Section
Special Emphasis Panel (ZHG1-HGR-N (O1))
Program Officer
Hindorff, Lucia
Project Start
2011-12-05
Project End
2015-11-30
Budget Start
2013-12-01
Budget End
2014-11-30
Support Year
3
Fiscal Year
2014
Total Cost
$2,195,445
Indirect Cost
$646,567
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115
Ridge, Perry G; Wadsworth, Mark E; Miller, Justin B et al. (2018) Assembly of 809 whole mitochondrial genomes with clinical, imaging, and fluid biomarker phenotyping. Alzheimers Dement 14:514-519
Prado, Maria G; Iversen, Maura D; Yu, Zhi et al. (2018) Effectiveness of a Web-Based Personalized Rheumatoid Arthritis Risk Tool With or Without a Health Educator for Knowledge of Rheumatoid Arthritis Risk Factors. Arthritis Care Res (Hoboken) 70:1421-1430
Roberts, J Scott; Robinson, Jill O; Diamond, Pamela M et al. (2018) Patient understanding of, satisfaction with, and perceived utility of whole-genome sequencing: findings from the MedSeq Project. Genet Med 20:1069-1076
Guan, Yue; Roter, Debra L; Wolff, Jennifer L et al. (2018) The impact of genetic counselors' use of facilitative strategies on cognitive and emotional processing of genetic risk disclosure for Alzheimer's disease. Patient Educ Couns 101:817-823
Sanghvi, Rashesh V; Buhay, Christian J; Powell, Bradford C et al. (2018) Characterizing reduced coverage regions through comparison of exome and genome sequencing data across 10 centers. Genet Med 20:855-866
Sparks, Jeffrey A; Iversen, Maura D; Yu, Zhi et al. (2018) Disclosure of Personalized Rheumatoid Arthritis Risk Using Genetics, Biomarkers, and Lifestyle Factors to Motivate Health Behavior Improvements: A Randomized Controlled Trial. Arthritis Care Res (Hoboken) 70:823-833
Christensen, Kurt D; Bernhardt, Barbara A; Jarvik, Gail P et al. (2018) Anticipated responses of early adopter genetic specialists and nongenetic specialists to unsolicited genomic secondary findings. Genet Med 20:1186-1195
Christensen, Kurt D; Phillips, Kathryn A; Green, Robert C et al. (2018) Cost Analyses of Genomic Sequencing: Lessons Learned from the MedSeq Project. Value Health 21:1054-1061
Amendola, Laura M; Robinson, Jill O; Hart, Ragan et al. (2018) Why Patients Decline Genomic Sequencing Studies: Experiences from the CSER Consortium. J Genet Couns 27:1220-1227
Porter, Kathryn M; Kauffman, Tia L; Koenig, Barbara A et al. (2018) Approaches to carrier testing and results disclosure in translational genomics research: The clinical sequencing exploratory research consortium experience. Mol Genet Genomic Med 6:898-909

Showing the most recent 10 out of 129 publications