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

IF 25.5 1区 生物学 Q1 GENETICS & HEREDITY
Biao Zeng, Hui Yang, Prashant N. M, Sanan Venkatesh, Deepika Mathur, Pavan Auluck, David A. Bennett, Stefano Marenco, Vahram Haroutunian, PsychAD Consortium, Georgios Voloudakis, Donghoon Lee, John F. Fullard, Jaroslav Bendl, Kiran Girdhar, Gabriel E. Hoffman, Panos Roussos
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Abstract

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. Multi-resolution genetic regulatory atlas of the human brain from single-nucleus transcriptomics of 1,384 donors of diverse ancestries reveals cell type-specific regulation underlying genetic risk of neuropsychiatric and neurodegenerative diseases.
人脑细胞类型特异性遗传调控的单核图谱
摘要常见病的遗传风险变异主要位于非编码调控区,调控基因表达。尽管大量组织研究已经阐明了调节和疾病相关遗传学的共同机制,但这些机制的细胞特异性仍未得到很大程度的探索。在这里,我们提出了一个全面的、单核多祖先的人类前额皮质基因表达遗传调控图谱,包括来自1384个不同祖先的560万个细胞核。通过跨8个主要细胞类和27个亚类的多分辨率分析,我们确定了14258个基因的遗传调控,其中981个在类水平上显示细胞类型特异性调控作用,857个在亚类水平上显示细胞类型特异性调控作用。与基因调控和疾病特征相关的基因变异的共定位揭示了与阿尔茨海默病、精神分裂症和其他在大量组织分析中未检测到的疾病有关的新的细胞类型特异性基因。单核水平的动态遗传调控分析确定了2073个基因,这些基因的调控作用在不同的发育轨迹中有所不同,这是从广泛的供体年龄范围中推断出来的。我们还发现了1,655个具有反调控作用的基因,揭示了基因表达的远端调控。这种高分辨率图谱提供了对人类大脑细胞类型特异性调控结构的深入了解,并为理解神经精神和神经退行性疾病的遗传基础提供了新的机制靶点。
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来源期刊
Nature genetics
Nature genetics 生物-遗传学
CiteScore
43.00
自引率
2.60%
发文量
241
审稿时长
3 months
期刊介绍: Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation. Integrative genetic topics comprise, but are not limited to: -Genes in the pathology of human disease -Molecular analysis of simple and complex genetic traits -Cancer genetics -Agricultural genomics -Developmental genetics -Regulatory variation in gene expression -Strategies and technologies for extracting function from genomic data -Pharmacological genomics -Genome evolution
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