Center for Precision Health, School of Biomedical Informatics, the University of Texas Health Science Center at Houston, 7000 Fannin St. Suite 600, Houston, TX 77030, USA.
Brief Bioinform. 2021 Nov 5;22(6). doi: 10.1093/bib/bbab214.
Different spatiotemporal abnormalities have been implicated in different neuropsychiatric disorders and anthropometric social traits, yet an investigation in the temporal network modularity with brain tissue transcriptomics has been lacking. We developed a supervised network approach to investigate the genome-wide association study (GWAS) results in the spatial and temporal contexts and demonstrated it in 20 brain disorders and anthropometric social traits. BrainSpan transcriptome profiles were used to discover significant modules enriched with trait susceptibility genes in a developmental stage-stratified manner. We investigated whether, and in which developmental stages, GWAS-implicated genes are coordinately expressed in brain transcriptome. We identified significant network modules for each disorder and trait at different developmental stages, providing a systematic view of network modularity at specific developmental stages for a myriad of brain disorders and traits. Specifically, we observed a strong pattern of the fetal origin for most psychiatric disorders and traits [such as schizophrenia (SCZ), bipolar disorder, obsessive-compulsive disorder and neuroticism], whereas increased co-expression activities of genes were more strongly associated with neurological diseases [such as Alzheimer's disease (AD) and amyotrophic lateral sclerosis] and anthropometric traits (such as college completion, education and subjective well-being) in postnatal brains. Further analyses revealed enriched cell types and functional features that were supported and corroborated prior knowledge in specific brain disorders, such as clathrin-mediated endocytosis in AD, myelin sheath in multiple sclerosis and regulation of synaptic plasticity in both college completion and education. Our study provides a landscape view of the spatiotemporal features in a myriad of brain-related disorders and traits.
不同的时空异常与不同的神经精神障碍和人体测量社会特征有关,但在时间网络模块性与脑组织转录组学方面的研究还很缺乏。我们开发了一种有监督的网络方法,在时空背景下研究全基因组关联研究(GWAS)的结果,并在 20 种脑疾病和人体测量社会特征中进行了验证。使用 BrainSpan 转录组谱以在发展阶段分层的方式发现具有特征易感性基因的显著模块。我们研究了 GWAS 所涉及的基因是否以及在哪些发育阶段在脑转录组中协同表达。我们在不同的发育阶段为每种疾病和特征确定了显著的网络模块,为多种脑疾病和特征在特定发育阶段的网络模块性提供了系统的观点。具体而言,我们观察到大多数精神疾病和特征(如精神分裂症(SCZ)、双相情感障碍、强迫症和神经质)都具有强烈的胎儿起源模式,而在产后大脑中,与神经疾病(如阿尔茨海默病(AD)和肌萎缩侧索硬化症)和人体测量特征(如大学毕业、教育和主观幸福感)相关的基因的共表达活性增加更为强烈。进一步的分析揭示了丰富的细胞类型和功能特征,这些特征在特定的脑疾病中得到了支持和证实,例如 AD 中的网格蛋白介导的内吞作用、多发性硬化症中的髓鞘和在大学毕业和教育中调节突触可塑性。我们的研究提供了一个关于多种与大脑相关的疾病和特征的时空特征的全景图。