Developmental Neurogenomics Unit, National Institute of Mental Health, Bethesda, MD, USA.
Department of Psychiatry, University of Cambridge, Cambridge, UK.
Nat Commun. 2020 Jul 3;11(1):3358. doi: 10.1038/s41467-020-17051-5.
Neurodevelopmental disorders have a heritable component and are associated with region specific alterations in brain anatomy. However, it is unclear how genetic risks for neurodevelopmental disorders are translated into spatially patterned brain vulnerabilities. Here, we integrated cortical neuroimaging data from patients with neurodevelopmental disorders caused by genomic copy number variations (CNVs) and gene expression data from healthy subjects. For each of the six investigated disorders, we show that spatial patterns of cortical anatomy changes in youth are correlated with cortical spatial expression of CNV genes in neurotypical adults. By transforming normative bulk-tissue cortical expression data into cell-type expression maps, we link anatomical change maps in each analysed disorder to specific cell classes as well as the CNV-region genes they express. Our findings reveal organizing principles that regulate the mapping of genetic risks onto regional brain changes in neurogenetic disorders. Our findings will enable screening for candidate molecular mechanisms from readily available neuroimaging data.
神经发育障碍具有遗传成分,并且与大脑解剖结构的区域特异性改变有关。然而,遗传风险如何转化为空间模式的大脑脆弱性尚不清楚。在这里,我们整合了由基因组拷贝数变异 (CNV) 引起的神经发育障碍患者的皮质神经影像学数据和来自健康受试者的基因表达数据。对于所研究的六种疾病中的每一种,我们都表明,年轻人的皮质解剖结构变化的空间模式与神经典型成年人的 CNV 基因的皮质空间表达相关。通过将规范的皮质组织表达数据转化为细胞类型表达图谱,我们将每个分析障碍中的解剖变化图谱与特定的细胞类群以及它们表达的 CNV 区域基因联系起来。我们的研究结果揭示了调节神经发育障碍中遗传风险映射到区域性脑变化的组织原则。我们的研究结果将能够从现成的神经影像学数据中筛选候选分子机制。