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The National Institutes of Health Undiagnosed Diseases Program: insights into rare diseases.

Authors :
Gahl WA
Markello TC
Toro C
Fajardo KF
Sincan M
Gill F
Carlson-Donohoe H
Gropman A
Pierson TM
Golas G
Wolfe L
Groden C
Godfrey R
Nehrebecky M
Wahl C
Landis DM
Yang S
Madeo A
Mullikin JC
Boerkoel CF
Tifft CJ
Adams D
Source :
Genetics in medicine : official journal of the American College of Medical Genetics [Genet Med] 2012 Jan; Vol. 14 (1), pp. 51-9. Date of Electronic Publication: 2011 Sep 26.
Publication Year :
2012

Abstract

Purpose: This report describes the National Institutes of Health Undiagnosed Diseases Program, details the Program's application of genomic technology to establish diagnoses, and details the Program's success rate during its first 2 years.<br />Methods: Each accepted study participant was extensively phenotyped. A subset of participants and selected family members (29 patients and 78 unaffected family members) was subjected to an integrated set of genomic analyses including high-density single-nucleotide polymorphism arrays and whole exome or genome analysis.<br />Results: Of 1,191 medical records reviewed, 326 patients were accepted and 160 were admitted directly to the National Institutes of Health Clinical Center on the Undiagnosed Diseases Program service. Of those, 47% were children, 55% were females, and 53% had neurologic disorders. Diagnoses were reached on 39 participants (24%) on clinical, biochemical, pathologic, or molecular grounds; 21 diagnoses involved rare or ultra-rare diseases. Three disorders were diagnosed based on single-nucleotide polymorphism array analysis and three others using whole exome sequencing and filtering of variants. Two new disorders were discovered. Analysis of the single-nucleotide polymorphism array study cohort revealed that large stretches of homozygosity were more common in affected participants relative to controls.<br />Conclusion: The National Institutes of Health Undiagnosed Diseases Program addresses an unmet need, i.e., the diagnosis of patients with complex, multisystem disorders. It may serve as a model for the clinical application of emerging genomic technologies and is providing insights into the characteristics of diseases that remain undiagnosed after extensive clinical workup.

Details

Language :
English
ISSN :
1530-0366
Volume :
14
Issue :
1
Database :
MEDLINE
Journal :
Genetics in medicine : official journal of the American College of Medical Genetics
Publication Type :
Academic Journal
Accession number :
22237431
Full Text :
https://doi.org/10.1038/gim.0b013e318232a005