Logo image
The TREAT-NMD DMD Global Database: Analysis of more than 7,000 Duchenne Muscular Dystrophy mutations
Journal article   Open access   Peer reviewed

The TREAT-NMD DMD Global Database: Analysis of more than 7,000 Duchenne Muscular Dystrophy mutations

C.L. Bladen, D. Salgado, S. Monges, M.E. Foncuberta, K. Kekou, K. Kosma, H. Dawkins, L. Lamont, A.J. Roy, T. Chamova, …
Human Mutation, Vol.36(4), pp.395-402
2015
pdf
Bladen_et_al-2015-Human_Mutation.pdfDownloadView
Published (Version of Record) Open Access
url
Free to Read *No subscription requiredView

Abstract

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 mutations held within the database. A total of 5,682 large mutations were observed (80% of total mutations), of which 4,894 (86%) were deletions (1 exon or larger) and 784 (14%) were duplications (1 exon or larger). There were 1,445 small mutations (smaller than 1 exon, 20% of all mutations), of which 358 (25%) were small deletions and 132 (9%) small insertions and 199 (14%) affected the splice sites. Point mutations totalled 756 (52% of small mutations) with 726 (50%) nonsense mutations and 30 (2%) missense mutations. Finally, 22 (0.3%) mid-intronic mutations were observed. In addition, mutations were identified within the database that would potentially benefit from novel genetic therapies for DMD including stop codon read-through therapies (10% of total mutations) and exon skipping therapy (80% of deletions and 55% of total mutations).

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Metrics

204 File views/ downloads
114 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Highly Cited Paper 
Collaboration types
Industry collaboration
Domestic collaboration
International collaboration
Citation topics
1 Clinical & Life Sciences
1.255 Musculoskeletal Disorders
1.255.628 Duchenne Muscular Dystrophy
Web Of Science research areas
Genetics & Heredity
ESI research areas
Molecular Biology & Genetics
Logo image