ReviewExpert review of neurotherapeutics2013
Next-generation sequencing in understanding complex neurological disease.
Review in Expert review of neurotherapeutics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- Review
- Advancements in genetic research and RNA therapy strategies for amyotrophic lateral sclerosis (ALS): current progress and future prospects.Journal of neurology · 2025Review
- Expression patterns of AEG-1 in the normal brain.Brain structure & function · 2023Article
- A Systems Biology Approach for Personalized Medicine in Refractory Epilepsy.International journal of molecular sciences · 2019Review
- Development of the variant calling algorithm, ADIScan, and its use to estimate discordant sequences between monozygotic twins.Nucleic acids research · 2018Article
- Detection of genomic rearrangements from targeted resequencing data in Parkinson's disease patients.Movement disorders : official journal of the Movement Disorder Society · 2017Article
- Review of alignment and SNP calling algorithms for next-generation sequencing data.Journal of applied genetics · 2016Review
- Bioinformatics Analysis of Estrogen-Responsive Genes.Methods in molecular biology (Clifton, N.J.) · 2016Article
- Advances in reprogramming-based study of neurologic disorders.Stem cells and development · 2015Review
- Transcriptomics Profiling of Alzheimer's Disease Reveal Neurovascular Defects, Altered Amyloid-β Homeostasis, and Deregulated Expression of Long Noncoding RNAs.Journal of Alzheimer's disease : JAD · 2015Article
- Application of next-generation sequencing technologies in Neurology.Annals of translational medicine · 2014Review
- Genetic forms of epilepsies and other paroxysmal disorders.Seminars in neurology · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Next-generation sequencing techniques have made vast quantities of data on human genomes and transcriptomes available to researchers. Huge progress has been made towards understanding the basis of many Mendelian neurological conditions, but progress has been considerably slower in complex neurological diseases (multiple sclerosis, migraine, Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, and so on). The authors review current next-generation sequencing methodologies and present selected studies illustrating how these have been used to cast light on the genetic etiology of complex neurological diseases with specific focus on multiple sclerosis. The authors highlight particular pitfalls in next-generation sequencing experiments and speculate on both clinical and research applications of these sequencing platforms for complex neurological disorders in the future.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.