ReviewDialogues in clinical neuroscience2016
An epigenomics approach to individual differences and its translation to neuropsychiatric conditions.
Review in Dialogues in clinical neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 15 citations in OpenAlex.
- Nutrient Sensing by Histone Marks: Reading the Metabolic Histone Code Using Tracing, Omics, and Modeling.BioEssays : news and reviews in molecular, cellular and developmental biology · 2020Article
- Current challenges and possible future developments in personalized psychiatry with an emphasis on psychotic disorders.Heliyon · 2020Review
- Four Actionable Bottlenecks and Potential Solutions to Translating Psychiatric Genetics Research: An Expert Review.Public health genomics · 2020Review
- Detection of Rare Methyl-CpG Binding Protein 2 Gene Missense Mutations in Patients With Schizophrenia.Frontiers in genetics · 2020Article
- The Epigenetic Basis of Individuality.Current opinion in behavioral sciences · 2019Article
- [Patho- and therapyepigenetics of mental disorders].Der Nervenarzt · 2018Review
- Autosomal dominant retinitis pigmentosa rhodopsin mutant Q344X drives specific alterations in chromatin complex gene transcription.Molecular vision · 2018Article
- The Importance of ncRNAs as Epigenetic Mechanisms in Phenotypic Variation and Organic Evolution.Frontiers in microbiology · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
This review concerns epigenetic mechanisms and their roles in conferring interindividual differences, especially as related to experientially acquired and genetically driven changes in central nervous system (CNS) function. In addition, the review contains commentary regarding the possible ways in which epigenomic changes may contribute to neuropsychiatric conditions and disorders and ways in which epigenotyping might be cross-correlated with clinical phenotyping in the context of precision medicine. The review begins with a basic description of epigenetic marking in the CNS and how these changes are powerful regulators of gene readout. Means for characterizing the individual epigenotype are briefly described, with a focus on DNA cytosine methylation as a readily measurable, stable epigenetic mark. This background enables a discussion of how "epigenotyping" might be integrated along with genotyping and deep phenotyping as a means of implementing advanced precision medicine. Finally, the commentary addresses two exemplars when considering how epigenotype may correlate with and modulate cognitive and behavioral phenotype: schizophrenia and Rett syndrome. These two disorders provide an interesting compare-and-contrast example regarding possible epigenotypic regulation of behavior: whereas Rett syndrome is clearly established as being caused by disruption of the function of an epigenetic "reader" of the DNA cytosine methylome-methyl-CpG-binding protein 2 (MeCP2)-the case for a role for epigenetic mechanisms in schizophrenia is still quite speculative.
Indexed as
Identifiers
27757063PMC5067146W2544269049What 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.