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Single-nucleus atlas of cell-type specific genetic regulation in the human brain

Biao Zeng, Hui Yang, N. M. Prashant, Sanan Venkatesh, Deepika Dayal Mathur, Pavan Kumar Auluck, David Alan Bennett, Stefano Marenco, Vahram H. Haroutunian, Aram Hong, Athan Z. Li, Chenfeng He, Chirag Gupta, Christian Dillard, Christian Porras, Clara Casey, Colleen A. McClung, Collin Spencer, Daifeng Wang, David Alan Bennett, David Burstein, Fotios Tsetsos, Gabriel E. Hoffman, Gennadi Ryan, Jennifer Monteiro Fortes, Jerome J. Choi, Kalpana H. Arachchilage, Karen Therrien, Lars J. Jensen, Lisa L. Barnes, Logan C. Dumitrescu, Lyra Sheu, Madeline R. Scott, Marcela Alvia, Marios Anyfantakis, Maxim Signaevsky, Mikaela Koutrouli, Milos Pjanic, Monika Ahirwar, Nicolas Y. Masse, Noah Cohen Kalafut, Pavan K. Auluck, Pavel Katsel, Pengfei Dong, Pramod B. Chandrashekar, Rachel Bercovitch, Roman Kosoy, Saniya Khullar, Sarah R. Murphy, Sayali Anil Alatkar y 10 más

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En palabras de los autores

Genetic risk variants for common diseases are predominantly located in non-coding regulatory regions and modulate gene expression. Although bulk tissue studies have elucidated shared mechanisms of regulatory and disease-associated genetics, the cellular specificity of these mechanisms remains largely unexplored. Here we present a comprehensive, single-nucleus multi-ancestry atlas of genetic regulation of gene expression in the human prefrontal cortex, comprising 5.6 million nuclei from 1,384 donors of diverse ancestries. Through multi-resolution analyses spanning eight major cell classes and 27 subclasses, we identify genetic regulation for 14,258 genes, with 981 showing cell type-specific regulatory effects at the class level and 857 at the subclass level. Colocalization of genetic variants associated with gene regulation and disease traits uncovers novel cell type-specific genes implicated in Alzheimer's disease, schizophrenia and other disorders that were not detectable in bulk tissue analyses. Analysis of dynamic genetic regulation at the single-nucleus level identifies 2,073 genes with regulatory effects that vary across developmental trajectories, inferred from a broad age range of donors. We also uncover 1,655 genes with trans-regulatory effects, revealing distal regulation of gene expression. This high-resolution atlas provides insight into the cell type-specific regulatory architecture of the human brain, and offers novel mechanistic targets for understanding the genetic basis of neuropsychiatric and neurodegenerative diseases.

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Apareció: viernes, 25 de septiembre. Nature Genetics. Revista con revisión por pares.

DOI: 10.1038/s41588-026-02733-5