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The role of gene variants in the pathogenesis of neurodegenerative disorders as revealed by next generation sequencing studies: a review

Overview of attention for article published in Translational Neurodegeneration, October 2017
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Title
The role of gene variants in the pathogenesis of neurodegenerative disorders as revealed by next generation sequencing studies: a review
Published in
Translational Neurodegeneration, October 2017
DOI 10.1186/s40035-017-0098-0
Pubmed ID
Authors

Shirley Yin-Yu Pang, Kay-Cheong Teo, Jacob Shujui Hsu, Richard Shek-Kwan Chang, Miaoxin Li, Pak-Chung Sham, Shu-Leong Ho

Abstract

The clinical diagnosis of neurodegenerative disorders based on phenotype is difficult in heterogeneous conditions with overlapping symptoms. It does not take into account the disease etiology or the highly variable clinical course even amongst patients diagnosed with the same disorder. The advent of next generation sequencing (NGS) has allowed for a system-wide, unbiased approach to identify all gene variants in the genome simultaneously. With the plethora of new genes being identified, genetic rather than phenotype-based classification of Mendelian diseases such as spinocerebellar ataxia (SCA), hereditary spastic paraplegia (HSP) and Charcot-Marie-Tooth disease (CMT) has become widely accepted. It has also become clear that gene variants play a role in common and predominantly sporadic neurodegenerative diseases such as Parkinson's disease (PD) and amyotrophic lateral sclerosis (ALS). The observation of pleiotropy has emerged, with mutations in the same gene giving rise to diverse phenotypes, which further increases the complexity of phenotype-genotype correlation. Possible mechanisms of pleiotropy include different downstream effects of different mutations in the same gene, presence of modifier genes, and oligogenic inheritance. Future directions include development of bioinformatics tools and establishment of more extensive public genotype/phenotype databases to better distinguish deleterious gene variants from benign polymorphisms, translation of genetic findings into pathogenic mechanisms through in-vitro and in-vivo studies, and ultimately finding disease-modifying therapies for neurodegenerative disorders.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 20%
Student > Ph. D. Student 18 18%
Student > Master 11 11%
Researcher 7 7%
Student > Doctoral Student 4 4%
Other 12 12%
Unknown 26 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 22%
Medicine and Dentistry 14 14%
Neuroscience 11 11%
Agricultural and Biological Sciences 8 8%
Computer Science 3 3%
Other 11 11%
Unknown 29 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 October 2017.
All research outputs
#16,051,091
of 25,382,440 outputs
Outputs from Translational Neurodegeneration
#320
of 384 outputs
Outputs of similar age
#188,530
of 332,159 outputs
Outputs of similar age from Translational Neurodegeneration
#3
of 4 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 384 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.7. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 332,159 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.