Evidence map›Paper›PMID 25568878›Full record

ReviewAnnals of translational medicine2014

Application of next-generation sequencing technologies in Neurology.

Teng Jiang, Meng-Shan Tan, Lan Tan, Jin-Tai Yu

Abstract readReview
In one paragraph

Review in Annals of translational medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A stroke gene panel for whole-exome sequencing.European journal of human genetics : EJHG · 2019
    Pooled it
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  16. Diagnostics (Basel, Switzerland) · 2020
    Article
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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

4 authors.

Teng Jiang1 Department of Neurology, Qingdao Municipal Hospital, Nanjing Medical University, Qingdao 266071, China ; 2 College of Medicine and Pharmaceutics, Ocean University of China, Qingdao 266071, China ; 3 Department of Neurology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao 266071, China.
Meng-Shan Tan1 Department of Neurology, Qingdao Municipal Hospital, Nanjing Medical University, Qingdao 266071, China ; 2 College of Medicine and Pharmaceutics, Ocean University of China, Qingdao 266071, China ; 3 Department of Neurology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao 266071, China.
Lan Tan1 Department of Neurology, Qingdao Municipal Hospital, Nanjing Medical University, Qingdao 266071, China ; 2 College of Medicine and Pharmaceutics, Ocean University of China, Qingdao 266071, China ; 3 Department of Neurology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao 266071, China.
Jin-Tai Yu1 Department of Neurology, Qingdao Municipal Hospital, Nanjing Medical University, Qingdao 266071, China ; 2 College of Medicine and Pharmaceutics, Ocean University of China, Qingdao 266071, China ; 3 Department of Neurology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao 266071, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic risk factors that underlie many rare and common neurological diseases remain poorly understood because of the multi-factorial and heterogeneous nature of these disorders. Although genome-wide association studies (GWAS) have successfully uncovered numerous susceptibility genes for these diseases, odds ratios associated with risk alleles are generally low and account for only a small proportion of estimated heritability. These results implicated that there are rare (present in <5% of the population) but not causative variants exist in the pathogenesis of these diseases, which usually have large effect size and cannot be captured by GWAS. With the decreasing cost of next-generation sequencing (NGS) technologies, whole-genome sequencing (WGS) and whole-exome sequencing (WES) have enabled the rapid identification of rare variants with large effect size, which made huge progress in understanding the basis of many Mendelian neurological conditions as well as complex neurological diseases. In this article, recent NGS-based studies that aimed to investigate genetic causes for neurological diseases, including Alzheimer's disease, Parkinson's disease, epilepsy, multiple sclerosis, stroke, amyotrophic lateral sclerosis and spinocerebellar ataxias, have been reviewed. In addition, we also discuss the future directions of NGS applications in this article.

Indexed as

geneticsneurological diseasesNext-generation sequencing (NGS)whole-exome sequencing (WES)whole-genome sequencing (WGS)

Identifiers

PMID25568878
PMCPMC4260045

What OpenQuestion holds

Textmetadata
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.