Unknown

Dataset Information

0

Defining Disease, Diagnosis, and Translational Medicine within a Homeostatic Perturbation Paradigm: The National Institutes of Health Undiagnosed Diseases Program Experience.


ABSTRACT: Traditionally, the use of genomic information for personalized medical decisions relies on prior discovery and validation of genotype-phenotype associations. This approach constrains care for patients presenting with undescribed problems. The National Institutes of Health (NIH) Undiagnosed Diseases Program (UDP) hypothesized that defining disease as maladaptation to an ecological niche allows delineation of a logical framework to diagnose and evaluate such patients. Herein, we present the philosophical bases, methodologies, and processes implemented by the NIH UDP. The NIH UDP incorporated use of the Human Phenotype Ontology, developed a genomic alignment strategy cognizant of parental genotypes, pursued agnostic biochemical analyses, implemented functional validation, and established virtual villages of global experts. This systematic approach provided a foundation for the diagnostic or non-diagnostic answers provided to patients and serves as a paradigm for scalable translational research.

SUBMITTER: Gall T 

PROVIDER: S-EPMC5445140 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

altmetric image

Publications

Defining Disease, Diagnosis, and Translational Medicine within a Homeostatic Perturbation Paradigm: The National Institutes of Health Undiagnosed Diseases Program Experience.

Gall Timothy T   Valkanas Elise E   Bello Christofer C   Markello Thomas T   Adams Christopher C   Bone William P WP   Brandt Alexander J AJ   Brazill Jennifer M JM   Carmichael Lynn L   Davids Mariska M   Davis Joie J   Diaz-Perez Zoraida Z   Draper David D   Elson Jeremy J   Flynn Elise D ED   Godfrey Rena R   Groden Catherine C   Hsieh Cheng-Kang CK   Fischer Roxanne R   Golas Gretchen A GA   Guzman Jessica J   Huang Yan Y   Kane Megan S MS   Lee Elizabeth E   Li Chong C   Links Amanda E AE   Maduro Valerie V   Malicdan May Christine V MCV   Malik Fayeza S FS   Nehrebecky Michele M   Park Joun J   Pemberton Paul P   Schaffer Katherine K   Simeonov Dimitre D   Sincan Murat M   Smedley Damian D   Valivullah Zaheer Z   Wahl Colleen C   Washington Nicole N   Wolfe Lynne A LA   Xu Karen K   Zhu Yi Y   Gahl William A WA   Tifft Cynthia J CJ   Toro Camillo C   Adams David R DR   He Miao M   Robinson Peter N PN   Haendel Melissa A MA   Zhai R Grace RG   Boerkoel Cornelius F CF  

Frontiers in medicine 20170526


Traditionally, the use of genomic information for personalized medical decisions relies on prior discovery and validation of genotype-phenotype associations. This approach constrains care for patients presenting with undescribed problems. The National Institutes of Health (NIH) Undiagnosed Diseases Program (UDP) hypothesized that defining disease as maladaptation to an ecological niche allows delineation of a logical framework to diagnose and evaluate such patients. Herein, we present the philos  ...[more]

Similar Datasets

| S-EPMC5060938 | biostudies-literature
| S-EPMC4098846 | biostudies-literature
| S-EPMC6318797 | biostudies-literature
| S-EPMC5061117 | biostudies-literature
| S-EPMC5560125 | biostudies-literature
| S-EPMC5133159 | biostudies-literature
| S-EPMC7098696 | biostudies-literature
| S-EPMC10930471 | biostudies-literature
| S-EPMC4190001 | biostudies-literature
| S-EPMC6237913 | biostudies-literature