Ontology highlight
ABSTRACT:
SUBMITTER: Bladen CL
PROVIDER: S-EPMC4405042 | biostudies-literature | 2015 Apr
REPOSITORIES: biostudies-literature
Bladen Catherine L CL Salgado David D Monges Soledad S Foncuberta Maria E ME Kekou Kyriaki K Kosma Konstantina K Dawkins Hugh H Lamont Leanne L Roy Anna J AJ Chamova Teodora T Guergueltcheva Velina V Chan Sophelia S Korngut Lawrence L Campbell Craig C Dai Yi Y Wang Jen J Barišić Nina N Brabec Petr P Lahdetie Jaana J Walter Maggie C MC Schreiber-Katz Olivia O Karcagi Veronika V Garami Marta M Viswanathan Venkatarman V Bayat Farhad F Buccella Filippo F Kimura En E Koeks Zaïda Z van den Bergen Janneke C JC Rodrigues Miriam M Roxburgh Richard R Lusakowska Anna A Kostera-Pruszczyk Anna A Zimowski Janusz J Santos Rosário R Neagu Elena E Artemieva Svetlana S Rasic Vedrana Milic VM Vojinovic Dina D Posada Manuel M Bloetzer Clemens C Jeannet Pierre-Yves PY Joncourt Franziska F Díaz-Manera Jordi J Gallardo Eduard E Karaduman A Ayşe AA Topaloğlu Haluk H El Sherif Rasha R Stringer Angela A Shatillo Andriy V AV Martin Ann S AS Peay Holly L HL Bellgard Matthew I MI Kirschner Jan J Flanigan Kevin M KM Straub Volker V Bushby Kate K Verschuuren Jan J Aartsma-Rus Annemieke A Béroud Christophe C Lochmüller Hanns H
Human mutation 20150317 4
Analyzing the type and frequency of patient-specific mutations that give rise to Duchenne muscular dystrophy (DMD) is an invaluable tool for diagnostics, basic scientific research, trial planning, and improved clinical care. Locus-specific databases allow for the collection, organization, storage, and analysis of genetic variants of disease. Here, we describe the development and analysis of the TREAT-NMD DMD Global database (http://umd.be/TREAT_DMD/). We analyzed genetic data for 7,149 DMD mutat ...[more]