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The Undiagnosed Diseases Network: Accelerating Discovery about Health and Disease
Author(s) -
Rachel Ramoni,
John J. Mulvihill,
David R. Adams,
Patrick Allard,
Euan A. Ashley,
Jonathan A. Bernstein,
William A. Gahl,
Rizwan Hamid,
Joseph Loscalzo,
Alexa T. McCray,
Vandana Shashi,
Cynthia J. Tifft,
Anastasia L. Wise,
Mercedes E. Alejandro,
Mahshid S. Azamian,
Carlos A. Bacino,
Ashok Balasubramanyam,
Hayk Barseghyan,
Alan H. Beggs,
Hugo J. Bellen,
David L. Bernick,
Anna Bican,
David Bick,
Camille L. Birch,
Braden Boone,
Lauren C. Briere,
Donna M. Brown,
Catherine A. Brownstein,
Matthew Brush,
Elizabeth A. Burke,
Lindsay C. Burrage,
Katherine R. Chao,
Gary Clark,
Joy D. Cogan,
Cynthia M. Cooper,
William J. Craigen,
Mariska Davids,
Jyoti G. Dayal,
Esteban C. Dell’Angelica,
Shweta U. Dhar,
Katrina M. Dipple,
Laurel A. DonnellFink,
Naghmeh Dorrani,
Daniel C. Dorset,
David D. Draper,
Annika M. Dries,
Rachel L. Eastwood,
David J. Eckstein,
Lisa Emrick,
Christine M. Eng,
Cecilia Esteves,
Tyra Estwick,
Paul G. Fisher,
Trevor S. Frisby,
Kate Frost,
Valerie Gartner,
Rena A. Godfrey,
Mitchell Goheen,
Gretchen Golas,
David B. Goldstein,
Mary “Gracie” G. Gordon,
Sarah E. Gould,
Jean-Philippe F. Gourdine,
Brett H. Graham,
Catherine Groden,
Andrea Gropman,
Mary E. Hackbarth,
Melissa Haendel,
Neil A. Hanchard,
Lori H. Handley,
Isabel Hardee,
Matthew Herzog,
Ingrid A. Holm,
Ellen M. Howerton,
Brenda Iglesias,
Howard J. Jacob,
Mahim Jain,
Yonghui Jiang,
Jean M. Johnston,
Angela Jones,
Alanna E. Koehler,
David M. Koeller,
Isaac S. Kohane,
Jennefer N. Kohler,
Donna M. Krasnewich,
Elizabeth L. Krieg,
Joel B. Krier,
Jennifer Kyle,
Seema R. Lalani,
Lea Latham,
Yvonne L. Latour,
C. Christopher Lau,
Jozef Lazar,
Brendan Lee,
Hane Lee,
Paul R. Lee,
Shawn Levy,
Denise J. Levy,
Richard A. Lewis,
Adam P. Liebendorder,
Sharyn A. Lincoln,
Carson R. Loomis,
Richard L. Maas,
Ellen F. Macnamara,
Calum A. MacRae,
Valerie V. Maduro,
May Christine V. Malicdan,
Laura A. Mamounas,
Teri A. Manolio,
Thomas C. Markello,
Casey Martin,
Paul Mazur,
Alexandra J. McCarty,
Allyn McConkieRosell,
Thomas Metz,
Matthew Might,
Paolo Moretti,
Jennifer L. Murphy,
Donna M. Muzny,
Michele Nehrebecky,
Stan F. Nelson,
J. Scott Newberry,
John H. Newman,
Sarah K. Nicholas,
Donovacic,
Jordan S. Orange,
J. Carl Pallais,
Christina G.S. Palmer,
Jeanette C. Papp,
Loren D.M. Peña,
John A. Phillips,
Jennifer E. Posey,
John H. Postlethwait,
Lorraine Potocki,
Barbara N. Pusey,
Amy K. Robertson,
Lance H. Rodan,
Jill A. Rosenfeld,
Sarah Sadozai,
Katherine E. Schaffer,
Kelly Schoch,
Molly C. Schroeder,
Daryl A. Scott,
Prashant Sharma,
Edwin K. Silverman,
Janet S. Sinsheimer,
Ariane Soldatos,
Rebecca C. Spillmann,
Kimberly Splinter,
Joan M. Stoler,
Nicholas Stong,
Kimberly A. Strong,
Jennifer A. Sullivan,
David A. Sweetser,
Sara Thomas,
Nathanial J. Tolman,
Camilo Toro,
Alyssa A. Tran,
Zaheer Valivullah,
Éric Vilain,
Daryl Waggott,
Colleen E. Wahl,
Sophie Nicole,
Chris A. Walsh,
Michael F. Wangler,
Mike Warburton,
Patricia A. Ward,
Katrina M. Waters,
BobbieJo WebbRobertson,
Alec A. Weech,
Monte Westerfield,
Matthew T. Wheeler,
Lynne A. Wolfe,
Elizabeth A. Worthey,
Shinya Yamamoto,
Yaping Yang,
Guoyun Yu,
Patricia A. Zornio
Publication year - 2017
Publication title -
the american journal of human genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.661
H-Index - 302
eISSN - 1537-6605
pISSN - 0002-9297
DOI - 10.1016/j.ajhg.2017.01.006
Subject(s) - data sharing , data science , disease , precision medicine , medical research , best practice , health care , computer science , knowledge management , medicine , alternative medicine , political science , pathology , law
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.

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