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Single-nucleus transcriptome-wide association study of human brain disorders

Venkatesh, S.; Wu, Z.; Anyfantakis, M.; Dillard, C.; M, P. N.; Burstein, D.; Mathur, D.; Kosoy, R.; Chatzinakos, C.; Ajanaku, B.; Tsetsos, F.; Zeng, B.; Hong, A.; Casey, C.; Alvia, M.; Shao, Z.; Argyriou, S.; Therrien, K.; VA Million Veteran Program, ; PsychAD Consortium, ; Bigdeli, T.; Auluck, P.; Bennett, D. A.; Marenco, S.; Haroutunian, V.; Girdhar, K.; Bendl, J.; Lee, D.; Fullard, J. F.; Hoffman, G. E.; Voloudakis, G.; Roussos, P.

2024-11-05 genetic and genomic medicine
10.1101/2024.11.04.24316495 medRxiv
Show abstract

Neuropsychiatric and neurodegenerative disorders exhibit cell-type-specific characteristics1-8, yet most transcriptome-wide association studies have been constrained by the use of homogenate brain tissue9-11, limiting their resolution and power. Here, we present a single-nucleus transcriptome-wide association study (snTWAS) leveraging single-nucleus RNA sequencing of over 6 million nuclei from the dorsolateral prefrontal cortex of 1,494 donors across three ancestries--European, African, and Admixed American. We constructed ancestry-specific single-nucleus-derived transcriptomic imputation models (snTIMs) including up to 27 non-overlapping cellular populations, enhancing the resolution of genetically regulated gene expression (GReX) in the brain and uncovering novel gene-trait associations across 12 neuropsychiatric and neurodegenerative traits. Our snTWAS framework revealed cell-type-specific dysregulation of GReX, identifying over 4,000 novel gene-trait associations not detected by bulk tissue approaches. By applying these snTIMs to the Million Veteran Program, we validated major findings and explored the pleiotropy of cell-type-specific GReX, revealing cross-ancestry concordance and fine-mapping causal genes. This approach enhances the discovery of biologically relevant pathways and gene targets, highlighting the importance of cell-type resolution and ancestry-specific models in understanding the genetic architecture of complex brain disorders.

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