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A case report of SPG11 mutations in a Chinese ARHSP-TCC family

Overview of attention for article published in BMC Neurology, June 2016
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Title
A case report of SPG11 mutations in a Chinese ARHSP-TCC family
Published in
BMC Neurology, June 2016
DOI 10.1186/s12883-016-0604-5
Pubmed ID
Authors

Linwei Zhang, Karen N. McFarland, Jinsong Jiao, Yujuan Jiao

Abstract

Autosomal recessive hereditary spastic paraplegia (ARHSP) with thin corpus callosum (TCC) is a complicated form of hereditary spastic paraplegia, characterized by progressive spastic paraplegia, weakness of the lower extremities and is usually accompanied by mental retardation. Mutations in the Spastic Paraplegia gene 11 (SPG11) account for a large proportion of ARHSP-TCC cases worldwide. We describe a Chinese family with ARHSP-TCC. Two daughters of this family presented with a spastic gait and cognitive impairment. Brain imaging of the index patient revealed a thin corpus callosum. We performed detailed physical and auxiliary examinations and were able to exclude acquired causes of spastic paraplegia. To determine the causative mutation, we took a candidate gene approach and screened the coding sequence and some flanking intronic sequence of SPG11 by direct Sanger sequencing. We identified two novel compound heterozygous mutations in SPG11 in affected individuals (c.1551_1552delTT, p.Cys518SerfsTer39 and c.5867-1G > T (IVS30-1G > T), p.Thr1956ArgfsTer15). Bioinformatic analysis predicts that these mutations would lead to a loss of protein function due to the truncation of the SPG11 protein. The results of this case report indicate a broader approach to include screening for SPG11 mutations in ARHSP-TCC patients. Our findings enrich the phenotypic spectrum of SPG11 mutations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 22%
Student > Doctoral Student 3 17%
Student > Bachelor 2 11%
Student > Ph. D. Student 2 11%
Student > Master 1 6%
Other 1 6%
Unknown 5 28%
Readers by discipline Count As %
Medicine and Dentistry 3 17%
Biochemistry, Genetics and Molecular Biology 2 11%
Nursing and Health Professions 2 11%
Social Sciences 2 11%
Computer Science 1 6%
Other 2 11%
Unknown 6 33%
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 04 June 2016.
All research outputs
#15,377,214
of 22,876,619 outputs
Outputs from BMC Neurology
#1,482
of 2,439 outputs
Outputs of similar age
#211,837
of 339,345 outputs
Outputs of similar age from BMC Neurology
#32
of 45 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
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