主页 文献库文献详情
PMID: 25850958 已发表 · ppublish 英语

Diagnostic algorithms in Charcot-Marie-Tooth neuropathies: experiences from a German genetic laboratory on the basis of 1206 index patients.

Clinical genetics ·第 89 卷 ·第 1 期 ·2016-10-13

Rudnik-Schöneborn S, Tölle D, Senderek J, Eggermann K, Elbracht M, Kornak U, von der Hagen M, Kirschner J, Leube B, Müller-Felber W, Schara U, von Au K, Wieczorek D, Bußmann C, Zerres K

摘要

We present clinical features and genetic results of 1206 index patients and 124 affected relatives who were referred for genetic testing of Charcot-Marie-Tooth (CMT) neuropathy at the laboratory in Aachen between 2001 and 2012. Genetic detection rates were 56% in demyelinating CMT (71% of autosomal dominant (AD) CMT1/CMTX), and 17% in axonal CMT (24% of AD CMT2/CMTX). Three genetic defects (PMP22 duplication/deletion, GJB1/Cx32 or MPZ/P0 mutation) were responsible for 89.3% of demyelinating CMT index patients in whom a genetic diagnosis was achieved, and the diagnostic yield of the three main genetic defects in axonal CMT (GJB1/Cx32, MFN2, MPZ/P0 mutations) was 84.2%. De novo mutations were detected in 1.3% of PMP22 duplication, 25% of MPZ/P0, and none in GJB1/Cx32. Motor nerve conduction velocity was uniformly <38 m/s in median or ulnar nerves in PMP22 duplication, >40 m/s in MFN2, and more variable in GJB1/Cx32, MPZ/P0 mutations. Patients with CMT2A showed a broad clinical severity regardless of the type or position of the MFN2 mutation. Out of 75 patients, 8 patients (11%) with PMP22 deletions were categorized as CMT1 or CMT2. Diagnostic algorithms are still useful for cost-efficient mutation detection and for the interpretation of large-scale genetic data made available by next generation sequencing strategies.

关键词
CMT disease electrophysiological classification genetic diagnosis genotype-phenotype correlation
文献信息
期刊
Clinical genetics
期刊简称
Clin Genet
发表日期
2016-10-13
收录日期
2016-01-15
更新日期
2016-11-10
语言
英语
国家/地区
Denmark
NLM ID
0253664
分析服务
分析服务

联系地址

山东省济南市章丘区文博路2号

齐鲁师范学院 genelibs生信实验室

山东省济南市高新区舜华路750号

大学科技园北区F座4单元2楼

电话: 0531-88819269

微信公众号

关注微信订阅号,实时查看信息,关注医学生物学动态。


商务邮箱

E-mail: [email protected]