As William Harvey wrote, """"""""Nature is nowhere accustomed more openly to display her secret mysteries than in cases where she shows traces of her working apart from the beaten path;nor is there any better way to advance the proper practice of medicine than to give our minds to the discovery of the usual laws of nature by careful investigation of cases of rarer forms of diseases."""""""" In addition to the missed scientific opportunity, marginalization of those with undiagnosed conditions exacts a tremendous human toll on health, emotional well-being, family life, and finances. As the Coordinating Center for a new Undiagnosed Diseases Network, Harvard Medical School will support the expansion of the National Institutes of Health's Intramural Undiagnosed Diseases Program into a collaborative, integrated network of 5-7 additional clinical sites with the goals of developing effective protocol for the diagnosis and care of people with undiagnosed conditions, as well as advancing the study of undiagnosed conditions by sharing high quality laboratory and clinical data generated by the network. We will do this by leveraging our collective expertise and experience in managing multi-site studies, trans-institutional data sharing, data analysis, biomedical curation, diagnosing and caring for those with rare conditions, and performance review to serve as the scientific, organizational, and operational foundations of the integrated and collaborative research community across the network sites. In so doing, we will accomplish five aims: (1) Provide the infrastructure, support, curation, and scientific leadership for the principled harmonization of clinical protocols, data standards, data analysis, and quality improvement practices throughout the network;(2) Create infrastructure to identify and match patients and clinical teams with intra- and extra-network expertise and resources;(3) Establish content and infrastructure to support transitions in care following UDP evaluation for diagnosed and undiagnosed patients;(4) Perform and support network dissemination activities;and (5) Continually evaluate the performance of individual clinical sites as well as the network as a whole.

Public Health Relevance

Undiagnosed conditions are a burden on our nation's health. This work will catalyze a dramatic improvement in the care of people with conditions that are difficult to diagnose through the support of the Undiagnosed Diseases Network. At the same time, through the care of these patients, the scientific community will gain an unprecedented vantage on the biology of health and disease.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Research Project--Cooperative Agreements (U01)
Project #
3U01HG007530-01S1
Application #
8906990
Study Section
Special Emphasis Panel (ZHG1-HGR-M (O1))
Program Officer
Wise, Anastasia Leigh
Project Start
2013-12-20
Project End
2017-11-30
Budget Start
2013-12-20
Budget End
2014-11-30
Support Year
1
Fiscal Year
2014
Total Cost
$943,589
Indirect Cost
$248,161
Name
Harvard Medical School
Department
Miscellaneous
Type
Schools of Medicine
DUNS #
047006379
City
Boston
State
MA
Country
United States
Zip Code
02115
Splinter, Kimberly; Adams, David R; Bacino, Carlos A et al. (2018) Effect of Genetic Diagnosis on Patients with Previously Undiagnosed Disease. N Engl J Med 379:2131-2139
Walley, Nicole M; Pena, Loren D M; Hooper, Stephen R et al. (2018) Characteristics of undiagnosed diseases network applicants: implications for referring providers. BMC Health Serv Res 18:652
Splinter, Kimberly; Hull, Sara Chandros; Holm, Ingrid A et al. (2018) Implementing the Single Institutional Review Board Model: Lessons from the Undiagnosed Diseases Network. Clin Transl Sci 11:28-31
Reuter, Chloe M; Brimble, Elise; DeFilippo, Colette et al. (2018) A New Approach to Rare Diseases of Children: The Undiagnosed Diseases Network. J Pediatr 196:291-297.e2
Zou, Fanggeng; McWalter, Kirsty; Schmidt, Lindsay et al. (2017) Expanding the phenotypic spectrum of GABRG2 variants: a recurrent GABRG2 missense variant associated with a severe phenotype. J Neurogenet 31:30-36
Ramoni, Rachel B; Mulvihill, John J; Adams, David R et al. (2017) The Undiagnosed Diseases Network: Accelerating Discovery about Health and Disease. Am J Hum Genet 100:185-192
Feiglin, Ariel; Allen, Bryce K; Kohane, Isaac S et al. (2017) Comprehensive Analysis of Tissue-wide Gene Expression and Phenotype Data Reveals Tissues Affected in Rare Genetic Disorders. Cell Syst 5:140-148.e2
Brownstein, Catherine A; Holm, Ingrid A; Ramoni, Rachel et al. (2015) Data sharing in the undiagnosed diseases network. Hum Mutat 36:985-8
Philippakis, Anthony A; Azzariti, Danielle R; Beltran, Sergi et al. (2015) The Matchmaker Exchange: a platform for rare disease gene discovery. Hum Mutat 36:915-21
Gahl, William A; Wise, Anastasia L; Ashley, Euan A (2015) The Undiagnosed Diseases Network of the National Institutes of Health: A National Extension. JAMA 314:1797-8

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