Ontology highlight
ABSTRACT:
SUBMITTER: Gall T
PROVIDER: S-EPMC5445140 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature
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]