Molecular genetic testing and diagnosis strategies for dystrophinopathies in the era of next generation sequencing.


Journal

Clinica chimica acta; international journal of clinical chemistry
ISSN: 1873-3492
Titre abrégé: Clin Chim Acta
Pays: Netherlands
ID NLM: 1302422

Informations de publication

Date de publication:
Apr 2019
Historique:
received: 20 08 2018
revised: 16 01 2019
accepted: 16 01 2019
pubmed: 21 1 2019
medline: 19 3 2019
entrez: 21 1 2019
Statut: ppublish

Résumé

Duchenne muscular dystrophy (DMD) and Becker muscular dystrophy (BMD) are X-linked recessive, inherited neuromuscular disorders, caused by pathogenic variants in the dystrophin gene that encodes the dystrophin protein. A number of mutations have been identified in the past years, producing dystrophin diversity and resulting in mild to severe phenotypes in patients. Mutations in the dystrophin gene can be characterized by laboratory testing to confirm a clinical diagnosis of DMD/BMD. Traditional genetic diagnostic strategy for DMD/BMD involves the initial detection of large mutations, followed by the detection of smaller mutations, where two or more analytical methods are employed. With the development of next generation sequencing (NGS) technology, comprehensive mutational screening for all variant types can be performed on a single platform in patients and carriers, although further optimization and validation are required. Furthermore, the discovery of cell-free fetal DNA (cffDNA) in maternal plasma provides basis for noninvasive prenatal diagnosis of DMD/BMD. Here, we discuss the correlation between genotype and phenotype, the current methods of molecular genetic testing and genetic diagnostic strategy for probands and female carriers of DMD/BMD, the diagnostic ability of a comprehensive targeted NGS strategy and the possibility of it replacing conventional methods.

Identifiants

pubmed: 30660698
pii: S0009-8981(19)30027-0
doi: 10.1016/j.cca.2019.01.014
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

66-73

Informations de copyright

Copyright © 2019. Published by Elsevier B.V.

Auteurs

Kuo Zhang (K)

National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China.

Xin Yang (X)

The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Shandong 264000, People's Republic of China.

Guigao Lin (G)

National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China.

Yanxi Han (Y)

National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China.

Jinming Li (J)

National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China. Electronic address: jmli@nccl.org.cn.

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Classifications MeSH