ReviewTranslational psychiatry2015
Functional genomics of human brain development and implications for autism spectrum disorders.
Review in Translational psychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Personalized single-cell transcriptomics reveals molecular diversity in Alzheimer's disease.Nature communications · 2026Article
- Brain Spatial Genomics Atlases.Genes · 2026Review
- Corpus Callosum Volumes in Children with Autism Spectrum Disorders: Sex-Associated Differences.Journal of autism and developmental disorders · 2023Article
- Identification and characterization of circular RNA in the model of autism spectrum disorder from PMFrontiers in genetics · 2023Article
- Article
- Functional Brain Networks in Preschool Children With Autism Spectrum Disorders.Frontiers in psychiatry · 2022Article
- Developmental Profile of Psychiatric Risk Associated With Voltage-Gated Cation Channel Activity.Biological psychiatry · 2021Article
- Mast Cells, Stress, Fear and Autism Spectrum Disorder.International journal of molecular sciences · 2019Review
- Non-coding genetic variation shaping mental health.Current opinion in psychology · 2019Review
- Temporal proteomic profiling of postnatal human cortical development.Translational psychiatry · 2018Article
- Role of Microtubule-Associated Protein in Autism Spectrum Disorder.Neuroscience bulletin · 2018Review
- Gut instincts: microbiota as a key regulator of brain development, ageing and neurodegeneration.The Journal of physiology · 2017Review
- mRNA Transcriptomics of Galectins Unveils Heterogeneous Organization in Mouse and Human Brain.Frontiers in molecular neuroscience · 2016Article
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
Transcription of the inherited DNA sequence into copies of messenger RNA is the most fundamental process by which the genome functions to guide development. Encoded sequence information, inherited epigenetic marks and environmental influences all converge at the level of mRNA gene expression to allow for cell-type-specific, tissue-specific, spatial and temporal patterns of expression. Thus, the transcriptome represents a complex interplay between inherited genomic structure, dynamic experiential demands and external signals. This property makes transcriptome studies uniquely positioned to provide insight into complex genetic-epigenetic-environmental processes such as human brain development, and disorders with non-Mendelian genetic etiologies such as autism spectrum disorders. In this review, we describe recent studies exploring the unique functional genomics profile of the human brain during neurodevelopment. We then highlight two emerging areas of research with great potential to increase our understanding of functional neurogenomics-non-coding RNA expression and gene interaction networks. Finally, we review previous functional genomics studies of autism spectrum disorder in this context, and discuss how investigations at the level of functional genomics are beginning to identify convergent molecular mechanisms underlying this genetically heterogeneous disorder.
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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.