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Cited by 369

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

The importance of genetic diagnosis for Duchenne muscular dystrophy

Open access
Aartsma-Rus, Annemieke, Ginjaar, Ieke B, Bushby, Kate·2016·Journal of Medical Genetics

Abstract

Duchenne muscular dystrophy (DMD) and Becker muscular dystrophy are caused by mutations in the dystrophin-encoding DMD gene. Large deletions and duplications are most common, but small mutations have been found as well. Having a correct diagnosis is important for family planning and providing proper care to patients according to published guidelines. With mutation-specific therapies under development for DMD, a correct diagnosis is now also important for assessing whether patients are eligible for treatments. This review discusses different mutations causing DMD, diagnostic techniques available for making a genetic diagnosis for children suspected of DMD and the importance of having a specific genetic diagnosis in the context of emerging genetic therapies for DMD.

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Crossref · 10.1136/jmedgenet-2015-103387

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Metadata

Authors
Aartsma-Rus, A., Ginjaar, I. B., & Bushby, K.
Venue
Journal of Medical Genetics
Publisher
BMJ
Published
2016-01-11
Volume
53
Issue
3
Pages
145-151
ISSN
  • 0022-2593 (ISSN-L)
  • 1468-6244
OpenAlex
W2285063843
Cited by
369
References
41
FWCI
15.50
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The importance of genetic diagnosis for Duchenne muscular dystrophy. https://app.cochat.ai/papers/10.1136/jmedgenet-2015-103387
The paper
Aartsma-Rus, A., Ginjaar, I. B., & Bushby, K. (2016). The importance of genetic diagnosis for Duchenne muscular dystrophy. Journal of Medical Genetics. https://doi.org/10.1136/jmedgenet-2015-103387

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.