ReviewFrontiers in neuroscience2016
Variation in Gene Expression in Autism Spectrum Disorders: An Extensive Review of Transcriptomic Studies.
Review in Frontiers in neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04865198 (Role of Neuralized1 and RGS14 Genes With ASD Patients), which is not on this map. Cited by 57 papers, 2 of them syntheses that pooled it.
What it found
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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.
Role of Neuralized1 and RGS14 Genes With ASD Patients
Who cites it
57 citing papers in PubMed, 2 syntheses or guidelines pooled it, 105 citations in OpenAlex.
- Pooled it
- A meta-analysis of two high-risk prospective cohort studies reveals autism-specific transcriptional changes to chromatin, autoimmune, and environmental response genes in umbilical cord blood.Molecular autism · 2019Pooled it
- The molecular footprint of valproic acid in human hippocampal organoid.Molecular neurobiology · 2026Article
- A Developmental Neuroimmune Cascade Model of Autism Spectrum Disorder.International journal of molecular sciences · 2026Review
- Exploratory Machine Learning Analysis of circRNA-Derived Molecular Features in Autism Spectrum Disorder.Non-coding RNA · 2026Article
- Article
- Molecular switch of the dendrite-to-spine transport of TDP-43/FMRP-bound neuronal mRNAs and its impairment in ASD.Cellular & molecular biology letters · 2025Article
- A joint complex network and machine learning approach for the identification of discriminative gene communities in autistic brain.PloS one · 2025Article
- Beyond the Spectrum: Subtype-Specific Molecular Insights into Autism Spectrum Disorder Via Multimodal Data Integration.medRxiv : the preprint server for health sciences · 2024Article
- Database-assisted screening of autism spectrum disorder related gene set.Molecular brain · 2024Article
- Translational bioinformatics and data science for biomarker discovery in mental health: an analytical review.Briefings in bioinformatics · 2024Review
- A most important gift: the critical role of postmortem brain tissue in autism science.Frontiers in neurology · 2024Article
- Candidate biomarkers from the integration of methylation and gene expression in discordant autistic sibling pairs.Translational psychiatry · 2023Article
- A predictive ensemble classifier for the gene expression diagnosis of ASD at ages 1 to 4 years.Molecular psychiatry · 2023Article
- Biomarker prediction in autism spectrum disorder using a network-based approach.BMC medical genomics · 2023Article
- Gene×environment interactions in autism spectrum disorders.Current topics in developmental biology · 2023Review
- Pathology and Astrocytes in Autism.Neuropsychiatric disease and treatment · 2023Review
- Trans-genetic effects of circular RNA expression quantitative trait loci and potential causal mechanisms in autism.Molecular psychiatry · 2022Article
- Re-emerging concepts of immune dysregulation in autism spectrum disorders.Frontiers in psychiatry · 2022Review
- Pre-treatment clinical and gene expression patterns predict developmental change in early intervention in autism.Molecular psychiatry · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Autism spectrum disorders (ASDs) are a group of complex neurodevelopmental conditions that present in early childhood and have a current estimated prevalence of about 1 in 68 US children, 1 in 42 boys. ASDs are heterogeneous, and arise from epigenetic, genetic and environmental origins, yet, the exact etiology of ASDs still remains unknown. Individuals with ASDs are characterized by having deficits in social interaction, impaired communication and a range of stereotyped and repetitive behaviors. Currently, a diagnosis of ASD is based solely on behavioral assessments and phenotype. Hundreds of diverse ASD susceptibility genes have been identified, yet none of the mutations found account for more than a small subset of autism cases. Therefore, a genetic diagnosis is not yet possible for the majority of the ASD population. The susceptibility genes that have been identified are involved in a wide and varied range of biological functions. Since the genetics of ASDs is so diverse, information on genome function as provided by transcriptomic data is essential to further our understanding. Gene expression studies have been extremely useful in comparing groups of individuals with ASD and control samples in order to measure which genes (or group of genes) are dysregulated in the ASD group. Transcriptomic studies are essential as a key link between measuring protein levels and analyzing genetic information. This review of recent autism gene expression studies highlights genes that are expressed in the brain, immune system, and processes such as cell metabolism and embryology. Various biological processes have been shown to be implicated with ASD individuals as well as differences in gene expression levels between different types of biological tissues. Some studies use gene expression to attempt to separate autism into different subtypes. An updated list of genes shown to be significantly dysregulated in individuals with autism from all recent ASD expression studies will help further research isolate any patterns useful for diagnosis or understanding the mechanisms involved. The functional relevance of transcriptomic studies as a method of classifying and diagnosing ASD cannot be underestimated despite the possible limitations of transcriptomic studies.
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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.