| Literature DB >> 35915177 |
Julien Bryois1, Daniela Calini2, Will Macnair2, Lynette Foo2, Eduard Urich2, Ward Ortmann3, Victor Alejandro Iglesias3, Suresh Selvaraj3, Erik Nutma4, Manuel Marzin4, Sandra Amor4,5, Anna Williams6, Gonçalo Castelo-Branco7,8, Vilas Menon9, Philip De Jager9,10, Dheeraj Malhotra11.
Abstract
To date, most expression quantitative trait loci (eQTL) studies, which investigate how genetic variants contribute to gene expression, have been performed in heterogeneous brain tissues rather than specific cell types. In this study, we performed an eQTL analysis using single-nuclei RNA sequencing from 192 individuals in eight brain cell types derived from the prefrontal cortex, temporal cortex and white matter. We identified 7,607 eGenes, a substantial fraction (46%, 3,537/7,607) of which show cell-type-specific effects, with strongest effects in microglia. Cell-type-level eQTLs affected more constrained genes and had larger effect sizes than tissue-level eQTLs. Integration of brain cell type eQTLs with genome-wide association studies (GWAS) revealed novel relationships between expression and disease risk for neuropsychiatric and neurodegenerative diseases. For most GWAS loci, a single gene co-localized in a single cell type, providing new clues into disease etiology. Our findings demonstrate substantial contrast in genetic regulation of gene expression among brain cell types and reveal potential mechanisms by which disease risk genes influence brain disorders.Entities:
Mesh:
Year: 2022 PMID: 35915177 DOI: 10.1038/s41593-022-01128-z
Source DB: PubMed Journal: Nat Neurosci ISSN: 1097-6256 Impact factor: 28.771