The Undiagnosed Diseases Network: Accelerating Discovery about Health and Disease. - PubMed - NCBI
Am J Hum Genet. 2017 Feb 2;100(2):185-192. doi: 10.1016/j.ajhg.2017.01.006.
The Undiagnosed Diseases Network: Accelerating Discovery about Health and Disease.
Ramoni RB1,
Mulvihill JJ2,
Adams DR2,
Allard P3,
Ashley EA4,
Bernstein JA5,
Gahl WA2,
Hamid R6,
Loscalzo J7,
McCray AT8,
Shashi V9,
Tifft CJ2;
Undiagnosed Diseases Network,
Wise AL2.
Abstract
Diagnosis at the edges of our knowledge calls upon clinicians to be data driven, cross-disciplinary, and collaborative in unprecedented ways. Exact disease recognition, an element of the concept of precision in medicine, requires new infrastructure that spans geography, institutional boundaries, and the divide between clinical care and research. The National Institutes of Health (NIH) Common Fund supports the Undiagnosed Diseases Network (UDN) as an exemplar of this model of precise diagnosis. Its goals are to forge a strategy to accelerate the diagnosis of rare or previously unrecognized diseases, to improve recommendations for clinical management, and to advance research, especially into disease mechanisms. The network will achieve these objectives by evaluating patients with undiagnosed diseases, fostering a breadth of expert collaborations, determining best practices for translating the strategy into medical centers nationwide, and sharing findings, data, specimens, and approaches with the scientific and medical communities. Building the UDN has already brought insights to human and medical geneticists. The initial focus has been on data sharing, establishing common protocols for institutional review boards and data sharing, creating protocols for referring and evaluating patients, and providing DNA sequencing, metabolomic analysis, and functional studies in model organisms. By extending this precision diagnostic model nationally, we strive to meld clinical and research objectives, improve patient outcomes, and contribute to medical science. Copyright © 2017 American Society of Human Genetics. All rights reserved.
KEYWORDS:
National Institutes of Health; cooperative behavior; diagnosis; high-throughput nucleotide sequencing; phenotyping; rare diseases
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