ArticleNature communications2025
Connecting genomic results for psychiatric disorders to human brain cell types and regions reveals convergence with functional connectivity.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.
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Who cites it
34 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Genome-wide association analyses of borderline personality disorder identify 11 loci and highlight shared risk with mental and somatic disorders.Nature genetics · 2026Pooled it
- Pooled it
- Rethinking schizophrenia: insights from genomics and implications for research.Molecular psychiatry · 2026Review
- A single-nuclei multiomics resource across four brain regions prioritises human neural cell types influencing brain-related traits.bioRxiv : the preprint server for biology · 2026Article
- Personalized single-cell transcriptomics reveals molecular diversity in Alzheimer's disease.Nature communications · 2026Article
- From molecules to minds: Integrative multi-omics in psychiatry.Journal of mood and anxiety disorders · 2026Review
- Determinants of functional burden pleiotropy and gene dosage responses across human traits.Nature communications · 2026Article
- Atypical energy-related symptoms define biologically distinct subtypes of major depressive disorder.medRxiv : the preprint server for health sciences · 2026Article
- Cross-ancestry genetic architecture reveals shared biological pathways of major psychiatric disorders.Molecular psychiatry · 2026Article
- Spatiomolecular mapping reveals anatomical organization of heterogeneous cell types in the human nucleus accumbens.Neuron · 2026Article
- Developmentally dynamic, non-convergent transcriptomic profiles in CNV models for schizophrenia risk.Molecular psychiatry · 2026Article
- Imaging Genomics Across Primate Species: Advancing Understanding of Neurological and Psychiatric Disorders.Neuroscience bulletin · 2026Review
- Spatial Mapping of Genetic Liability to Psychiatric Disorders in the Adult Human Hippocampus.Biological psychiatry global open science · 2026Article
- Linking rare variants to cell-type function in profound autism with brain transcriptomics and foundation models.Cell genomics · 2026Review
- Genomics of drug target prioritization for complex diseases.Nature reviews. Genetics · 2026Review
- Genetic and Cortical Cell-Type Liability Architecture of Autism.Research square · 2026Article
- DisCP-Atlas: a comprehensive resource mapping cellular processes to complex diseases.Nucleic acids research · 2026Article
- From synapse to system: mechanistic pathways of neural signaling dysfunction in psychiatric disorders.Frontiers in cell and developmental biology · 2026Review
- Genomic meta-analyses of binge-eating behavior and anorexia nervosa yield insights into the unique and shared biology of eating disorder phenotypes.Nature. Mental health · 2026Article
- Old enough to be a model? On the role of maturity in stem cell-based models for neuropsychiatric disorders.Neuroscience applied · 2026Review
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Abstract
Identifying cell types and brain regions critical for psychiatric disorders and brain traits is essential for targeted neurobiological research. By integrating genomic insights from genome-wide association studies with a comprehensive single-cell transcriptomic atlas of the adult human brain, we prioritized specific neuronal clusters significantly enriched for the SNP-heritabilities for schizophrenia, bipolar disorder, and major depressive disorder along with intelligence, education, and neuroticism. Extrapolation of cell-type results to brain regions reveals the whole-brain impact of schizophrenia genetic risk, with subregions in the hippocampus and amygdala exhibiting the most significant enrichment of SNP-heritability. Using functional MRI connectivity, we further confirmed the significance of the central and lateral amygdala, hippocampal body, and prefrontal cortex in distinguishing schizophrenia cases from controls. Our findings underscore the value of single-cell transcriptomics in understanding the polygenicity of psychiatric disorders and suggest a promising alignment of genomic, transcriptomic, and brain imaging modalities for identifying common biological targets.
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