Evidence map›Paper›PMID 25604253›Full record

ArticleHuman mutation2015

The TREAT-NMD DMD Global Database: analysis of more than 7,000 Duchenne muscular dystrophy mutations.

Catherine L Bladen, David Salgado, Soledad Monges, Maria E Foncuberta, Kyriaki Kekou, Konstantina Kosma, Hugh Dawkins, Leanne Lamont, Anna J Roy, Teodora Chamova and 51 more

Registry-linked trialAbstract read
In one paragraph

Article in Human mutation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02069756 (The Duchenne Registry), which is not on this map. Cited by 427 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
427citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02069756 recruitingnot on this map

The Duchenne Registry: An International, Patient-Report Registry for Individuals With Duchenne and Becker Muscular Dystrophy (Member of TREAT-NMD Neuromuscular Network)

Typeobservational_patient_registrySponsorThe Duchenne RegistryRan2007 to 2047Enrolled10,000ConditionsDuchenne Muscular Dystrophy, Becker Muscular Dystrophy, Dystrophinopathy, Dystrophinopathy Symptomatic Female Carrier
3 · Its place in the literature

Who cites it

427 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Neurology · 2023
    Pooled it
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  9. Review
  10. Article
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  17. An antisense method for efficient exon skipping and its application to Duchenne muscular dystrophy.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  18. [Construction of a genotype-phenotype database and machine learning models for pseudohypertrophic muscular dystrophy].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2026
    Article
  19. Article
  20. Article

367 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

61 authors.

Catherine L BladenThe John Walton Muscular Dystrophy Research Centre, MRC Centre for Neuromuscular Diseases Institute of Genetic Medicine, University of Newcastle, Central Parkway, Newcastle upon Tyne, UK.
David Salgado
Soledad Monges
Maria E Foncuberta
Kyriaki Kekou
Konstantina Kosma
Hugh Dawkins
Leanne Lamont
Anna J Roy
Teodora Chamova
Velina Guergueltcheva
Sophelia Chan
Lawrence Korngut
Craig Campbell
Yi Dai
Jen Wang
Nina Barišić
Petr Brabec
Jaana Lahdetie
Maggie C Walter
Olivia Schreiber-Katz
Veronika Karcagi
Marta Garami
Venkatarman Viswanathan
Farhad Bayat
Filippo Buccella
En Kimura
Zaïda Koeks
Janneke C van den Bergen
Miriam Rodrigues
Richard Roxburgh
Anna Lusakowska
Anna Kostera-Pruszczyk
Janusz Zimowski
Rosário Santos
Elena Neagu
Svetlana Artemieva
Vedrana Milic Rasic
Dina Vojinovic
Manuel Posada
Clemens Bloetzer
Pierre-Yves Jeannet
Franziska Joncourt
Jordi Díaz-Manera
Eduard Gallardo
A Ayşe Karaduman
Haluk Topaloğlu
Rasha El Sherif
Angela Stringer
Andriy V Shatillo
Ann S Martin
Holly L Peay
Matthew I Bellgard
Jan Kirschner
Kevin M Flanigan
Volker Straub
Kate Bushby
Jan Verschuuren
Annemieke Aartsma-Rus
Christophe Béroud
Hanns Lochmüller

Funding

Medical Research Council MR/K000608/1
6 · The paper itself

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).

Indexed as

Databases, GeneticMutationDystrophinHumansMuscular Dystrophy, DuchenneRegistriesDystrophinDMDDuchenne muscular dystrophyrare disease registriesTREAT-NMD

Identifiers

PMID25604253
PMCPMC4405042

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.