Evidence map›Paper›PMID 29046784›Full record

ReviewTranslational neurodegeneration2017

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

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

Open access · goldAbstract readReview
In one paragraph

Review in Translational neurodegeneration, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 37 citations in OpenAlex.

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  10. Towards early detection of neurodegenerative diseases: A gut feeling.Frontiers in cell and developmental biology · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 2 countries.

Shirley Yin-Yu PangDivision of Neurology, Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong, People's Republic of China.
Kay-Cheong TeoDivision of Neurology, Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong, People's Republic of China.
Jacob Shujui HsuCentre for Genomic Sciences, University of Hong Kong, Hong Kong, People's Republic of China.
Richard Shek-Kwan ChangDivision of Neurology, Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong, People's Republic of China.
Miaoxin LiCentre for Genomic Sciences, University of Hong Kong, Hong Kong, People's Republic of China.
Pak-Chung ShamCentre for Genomic Sciences, University of Hong Kong, Hong Kong, People's Republic of China.
Shu-Leong HoDivision of Neurology, Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong, People's Republic of China.
University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

GeneticsNeurodegenerative diseasesNext generation sequencingPleiotropy

Identifiers

PMID29046784
PMCPMC5639582
OpenAlexW2763781987

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.