Cell-type-specific cis-eQTLs in eight human brain cell types identify novel risk genes for psychiatric and neurological disorders

表达数量性状基因座 全基因组关联研究 生物 电池类型 基因 数量性状位点 基因表达 遗传学 单核苷酸多态性 细胞 基因型
作者
Julien Bryois,Daniela Calini,Will Macnair,Lynette C. Foo,Eduard Urich,Ward Ortmann,Victor A. Iglesias,Suresh Selvaraj,Erik Nutma,Manuel Marzin,Sandra Amor,Anna Williams,Gonçalo Castelo‐Branco,Vilas Menon,Philip L. De Jager,Dheeraj Malhotra
出处
期刊:Nature Neuroscience [Springer Nature]
卷期号:25 (8): 1104-1112 被引量:202
标识
DOI:10.1038/s41593-022-01128-z
摘要

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. Bryois et al. mapped genetic variants regulating gene expression in eight major brain cell types. They found a large number of cell-type-specific genetic effects and leveraged their results to identify novel putative risk genes for brain disorders.
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