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Identification of two novel null variants in CLN8 by targeted next-generation sequencing: first report of a Chinese patient with neuronal ceroid lipofuscinosis due to CLN8 variants

Overview of attention for article published in BMC Medical Genomics, February 2018
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Title
Identification of two novel null variants in CLN8 by targeted next-generation sequencing: first report of a Chinese patient with neuronal ceroid lipofuscinosis due to CLN8 variants
Published in
BMC Medical Genomics, February 2018
DOI 10.1186/s12881-018-0535-7
Pubmed ID
Authors

Zhijie Gao, Hua Xie, Qian Jiang, Nan Wu, Xiaoli Chen, Qian Chen

Abstract

Neuronal ceroid lipofuscinoses (NCLs) are one of the most frequent childhood-onset neurodegenerative pathologies characterized by seizures, progressive cognitive decline, motor impairment and loss of vision. For the past two decades, more than 430 variants in 13 candidate genes have been identified in the affected patients. Most of the variants were almost exclusively reported in Western patients, and very little clinical and genetic information was available for Chinese patients. We report a Chinese boy whose clinical phenotypes were suspected to be NCL, including intractable epilepsy, cognitive and motor decline and progressive vision loss. Using targeted next-generation sequencing, two novel null variants in CLN8 (c.298C > T, p.Gln100Ter; c.551G > A, p.Trp184Ter) were detected in this patient in trans model. These two variants were interpreted as pathogenic according to the variant guidelines of the American College of Medical Genetics and Genomics. This is the first case report of NCL due to CLN8 variants in China. Our findings expand the variant diversity of CLN8 and demonstrate the tremendous diagnosis value of targeted next-generation sequencing for pediatric NCLs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 29%
Student > Ph. D. Student 4 24%
Other 3 18%
Student > Doctoral Student 2 12%
Student > Bachelor 1 6%
Other 0 0%
Unknown 2 12%
Readers by discipline Count As %
Medicine and Dentistry 6 35%
Neuroscience 4 24%
Agricultural and Biological Sciences 2 12%
Psychology 1 6%
Immunology and Microbiology 1 6%
Other 1 6%
Unknown 2 12%
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 10 February 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from BMC Medical Genomics
#1,682
of 2,444 outputs
Outputs of similar age
#342,399
of 447,797 outputs
Outputs of similar age from BMC Medical Genomics
#32
of 51 outputs
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