ReviewBiological psychiatry2021
Parsing the Functional Impact of Noncoding Genetic Variants in the Brain Epigenome.
Review in Biological psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled 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.
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
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Methodological quality assessment of genetic studies on brain arteriovenous malformation related hemorrhage: A cross-sectional study.Frontiers in genetics · 2023Pooled it
- 3D genetic architecture of schizophrenia risk across three neuronal subtypes.Molecular psychiatry · 2026Article
- Distinct cellular DNA methylation mechanisms underlie common and rare genetic risk for brain disorders.bioRxiv : the preprint server for biology · 2026Article
- Regulatory landscape enrichment analysis (RLEA): a computational toolkit for non-coding variant enrichment and cell type prioritization.BMC bioinformatics · 2024Article
- Novel Functional Genomics Approaches Bridging Neuroscience and Psychiatry.Biological psychiatry global open science · 2023Review
- Induction of dopaminergic neurons for neuronal subtype-specific modeling of psychiatric disease risk.Molecular psychiatry · 2023Article
- Genomic regulatory sequences in the pathogenesis of bipolar disorder.Frontiers in psychiatry · 2023Review
- Annotating functional effects of non-coding variants in neuropsychiatric cell types by deep transfer learning.PLoS computational biology · 2022Article
- Current and Future Perspectives of Noncoding RNAs in Brain Function and Neuropsychiatric Disease.Biological psychiatry · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
The heritability of common psychiatric disorders has motivated global efforts to identify risk-associated genetic variants and elucidate molecular pathways connecting DNA sequence to disease-associated brain dysfunction. The overrepresentation of risk variants among gene regulatory loci instead of protein-coding loci, however, poses a unique challenge in discerning which among the many thousands of variants identified contribute functionally to disease etiology. Defined broadly, psychiatric epigenomics seeks to understand the effects of disease-associated genetic variation on functional readouts of chromatin in an effort to prioritize variants in terms of their impact on gene expression in the brain. Here, we provide an overview of epigenomic mapping in the human brain and highlight findings of particular relevance to psychiatric genetics. Computational methods, including convolutional neuronal networks, and other machine learning approaches hold great promise for elucidating the functional impact of both common and rare genetic variants, thereby refining the epigenomic architecture of psychiatric disorders and enabling integrative analyses of regulatory noncoding variants in the context of large population-level genome and phenome databases.
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.