ReviewBiological psychiatry2021
Transcriptomic Insight Into the Polygenic Mechanisms Underlying Psychiatric Disorders.
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 34 papers, 1 of them a synthesis 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.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.
- Brain-based sex differences in autism spectrum disorder across the lifespan: A systematic review of structural MRI, fMRI, and DTI findings.NeuroImage. Clinical · 2021Pooled it
- Dynamic immune and metabolic dysregulation in women with post-traumatic stress disorder: Longitudinal transcriptomic insights following sexual assault.Molecular psychiatry · 2026Article
- Parsing the Functional Heterogeneity of the Psychosis Spectrum: A Clinically Informed Application of Genomic Structural Equation Modeling.medRxiv : the preprint server for health sciences · 2026Article
- Elucidating the neuropathological and molecular heterogeneity of amyloid beta and tau in Alzheimer's disease through machine learning and transcriptomic integration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Imaging Genomics Across Primate Species: Advancing Understanding of Neurological and Psychiatric Disorders.Neuroscience bulletin · 2026Review
- A transcriptomic dimension of neuronal and immune gene programs within the subgenual anterior cingulate cortex in schizophrenia.Translational psychiatry · 2026Article
- Sulcal Widening in Schizophrenia Maps onto Sulcal Hubs and Energy-Synaptic Genes.bioRxiv : the preprint server for biology · 2026Article
- Knowledge graphs in psychiatric research: Potential applications and future perspectives.Acta psychiatrica Scandinavica · 2025Review
- A neuro-immune axis of transcriptomic dysregulation within the subgenual anterior cingulate cortex in schizophrenia.bioRxiv : the preprint server for biology · 2025Article
- From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care.Biomedicines · 2025Review
- Transcriptomic Evidence Reveals the Dysfunctional Mechanism of Synaptic Plasticity Control in ASD.Genes · 2024Article
- Cross-ancestry atlas of gene, isoform, and splicing regulation in the developing human brain.Science (New York, N.Y.) · 2024Article
- Temporal changes of gene expression in health, schizophrenia, bipolar disorder, and major depressive disorder.Schizophrenia (Heidelberg, Germany) · 2024Article
- Deciphering the Metabolome under Stress: Insights from Rodent Models.Current neuropharmacology · 2024Review
- Transcriptomics : Approaches to Quantifying Gene Expression and Their Application to Studying the Human Brain.Current topics in behavioral neurosciences · 2024Review
- A characteristic cerebellar biosignature for bipolar disorder, identified with fully automatic machine learning.IBRO neuroscience reports · 2023Article
- Investigating trait variability of gene co-expression network architecture in brain by controlling for genomic risk of schizophrenia.PLoS genetics · 2023Article
- Novel Functional Genomics Approaches Bridging Neuroscience and Psychiatry.Biological psychiatry global open science · 2023Review
- Cross-ancestry, cell-type-informed atlas of gene, isoform, and splicing regulation in the developing human brain.medRxiv : the preprint server for health sciences · 2023Article
- The foundation and architecture of precision medicine in neurology and psychiatry.Trends in neurosciences · 2023Review
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Over the past decade, large-scale genetic studies have successfully identified hundreds of genetic variants robustly associated with risk for psychiatric disorders. However, mechanistic insight and clinical translation continue to lag the pace of risk variant identification, hindered by the sheer number of targets and their predominant noncoding localization, as well as pervasive pleiotropy and incomplete penetrance. Successful next steps require identification of "causal" genetic variants and their proximal biological consequences; placing variants within biologically defined functional contexts, reflecting specific molecular pathways, cell types, circuits, and developmental windows; and characterizing the downstream, convergent neurobiological impact of polygenicity within an individual. Here, we discuss opportunities and challenges of high-throughput transcriptomic profiling in the human brain, and how transcriptomic approaches can help pinpoint mechanisms underlying genetic risk for psychiatric disorders at a scale necessary to tackle daunting levels of polygenicity. These include transcriptome-wide association studies for risk gene prioritization through integration of genome-wide association studies with expression quantitative trait loci. We outline transcriptomic results that inform our understanding of the brain-level molecular pathology of psychiatric disorders, including autism spectrum disorder, bipolar disorder, major depressive disorder, and schizophrenia. Finally, we discuss systems-level approaches for integration of distinct genetic, genomic, and phenotypic levels, including combining spatially resolved gene expression and human neuroimaging maps. Results highlight the importance of understanding gene expression (dys)regulation across human brain development as a major contributor to psychiatric disease pathogenesis, from common variants acting as expression quantitative trait loci to rare variants enriched for gene expression regulatory pathways.
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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.