Connecting genomic results for psychiatric disorders to human brain cell types and regions reveals convergence with functional connectivity

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 pri...

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Veröffentlicht in:NATURE COMMUNICATIONS 2025-01, Vol.16 (1), p.395-18, Article 395
Hauptverfasser: Yao, Shuyang, Harder, Arvid, Darki, Fahimeh, Chang, Yu-Wei, Li, Ang, Nikouei, Kasra, Volpe, Giovanni, Lundström, Johan N., Zeng, Jian, Wray, Naomi R., Lu, Yi, Sullivan, Patrick F., Hjerling-Leffler, Jens
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Sprache:eng
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Zusammenfassung: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. Circuit and cell type prioritization for complex disorders is crucial to direct future efforts. Here the authors integrate GWAS, human single-cell RNA-seq and fMRI analysis suggesting multi-modality convergence on amygdalar and hippocampal circuits.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-024-55611-1