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High frequency of SPG4 in Taiwanese families with autosomal dominant hereditary spastic paraplegia

Overview of attention for article published in BMC Neurology, November 2014
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Title
High frequency of SPG4 in Taiwanese families with autosomal dominant hereditary spastic paraplegia
Published in
BMC Neurology, November 2014
DOI 10.1186/s12883-014-0216-x
Pubmed ID
Authors

Min-Yu Lan, Yung-Yee Chang, Tu-Hseuh Yeh, Szu-Chia Lai, Chia-Wei Liou, Hung-Chou Kuo, Yih-Ru Wu, Rong-Kuo Lyu, Jen-Wen Hung, Ying-Chao Chang, Chin-Song Lu

Abstract

BackgroundHereditary spastic paraplegias (HSPs) are a group of neurodegenerative diseases characterized by progressive spasticity and weakness of the lower limbs. SPG4, SPG3A and SPG31 are the three leading causes of autosomal dominant (AD) HSPs.MethodsA total of 20 unrelated AD-HSP families were recruited for clinical and genetic assessment. Detection of mutations in SPG4, SPG3A and SPG31 genes was conducted according to a standard protocol. Genotype-phenotype correlations and determinants for disease severity and progression were analyzed.ResultsMutations in the SPG4 gene (SPAST) were detected in 18 (90%) of the AD-HSP families. Mutations in SPG4, SPG3A and SPG31 genes were not detected in the remaining two families. Considerable variations in clinical features were noted, even for mutation carriers from the same family. Mutations causing complete loss of the spastin AAA cassette were associated with earlier onset of disease (20¿±¿18 years) compared with those with preservation of partial or total AAA cassette (32¿±¿19 years, p¿=¿0.041). For those with SPG4 mutations, disease severity was related to the patients¿ current age, and the progression rate of disease was positively correlated with age at onset.ConclusionsSPG4 accounts for most of the AD-HSP cases in Taiwanese, with a frequency significantly higher than in other populations. SPAST mutations which predict complete loss of the spastin AAA cassette were associated with an earlier onset of disease.

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Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Student > Bachelor 4 15%
Researcher 3 12%
Student > Ph. D. Student 3 12%
Student > Doctoral Student 2 8%
Other 5 19%
Unknown 4 15%
Readers by discipline Count As %
Medicine and Dentistry 5 19%
Biochemistry, Genetics and Molecular Biology 4 15%
Psychology 4 15%
Nursing and Health Professions 3 12%
Sports and Recreations 1 4%
Other 2 8%
Unknown 7 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 November 2014.
All research outputs
#20,243,777
of 22,771,140 outputs
Outputs from BMC Neurology
#2,132
of 2,428 outputs
Outputs of similar age
#302,833
of 361,642 outputs
Outputs of similar age from BMC Neurology
#27
of 29 outputs
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