University of Granada, Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence, Granada, Spain.
Instituto de Investigación Biosanitaria de Granada (ibs. GRANADA), Granada, Spain.
Mol Psychiatry. 2024 Jul;29(7):2241-2260. doi: 10.1038/s41380-024-02484-x. Epub 2024 Mar 4.
Genome-wide association studies of human personality have been carried out, but transcription of the whole genome has not been studied in relation to personality in humans. We collected genome-wide expression profiles of adults to characterize the regulation of expression and function in genes related to human personality. We devised an innovative multi-omic approach to network analysis to identify the key control elements and interactions in multi-modular networks. We identified sets of transcribed genes that were co-expressed in specific brain regions with genes known to be associated with personality. Then we identified the minimum networks for the co-localized genes using bioinformatic resources. Subjects were 459 adults from the Young Finns Study who completed the Temperament and Character Inventory and provided peripheral blood for genomic and transcriptomic analysis. We identified an extrinsic network of 45 regulatory genes from seed genes in brain regions involved in self-regulation of emotional reactivity to extracellular stimuli (e.g., self-regulation of anxiety) and an intrinsic network of 43 regulatory genes from seed genes in brain regions involved in self-regulation of interpretations of meaning (e.g., production of concepts and language). We discovered that interactions between the two networks were coordinated by a control hub of 3 miRNAs and 3 protein-coding genes shared by both. Interactions of the control hub with proteins and ncRNAs identified more than 100 genes that overlap directly with known personality-related genes and more than another 4000 genes that interact indirectly. We conclude that the six-gene hub is the crux of an integrative network that orchestrates information-transfer throughout a multi-modular system of over 4000 genes enriched in liquid-liquid-phase-separation (LLPS)-related RNAs, diverse transcription factors, and hominid-specific miRNAs and lncRNAs. Gene expression networks associated with human personality regulate neuronal plasticity, epigenesis, and adaptive functioning by the interactions of salience and meaning in self-awareness.
人类人格的全基因组关联研究已经进行,但人类人格与全基因组转录尚未进行研究。我们收集了成年人的全基因组表达谱,以描述与人类人格相关的基因的表达和功能调控。我们设计了一种创新的多组学网络分析方法,以识别多模块网络中的关键控制元件和相互作用。我们确定了一组在特定脑区与已知与人格相关的基因共表达的转录基因。然后,我们使用生物信息学资源确定共定位基因的最小网络。研究对象为来自年轻芬兰人研究的 459 名成年人,他们完成了气质和性格量表,并提供了外周血进行基因组和转录组分析。我们从参与对外界刺激(例如,对外界刺激的情绪反应的自我调节)的自我调节的脑区的种子基因中鉴定出了一个外在网络,其中包括 45 个调节基因;从参与意义解释的自我调节的脑区的种子基因中鉴定出了一个内在网络,其中包括 43 个调节基因。我们发现,两个网络之间的相互作用由一个控制中心协调,该控制中心由两个网络共有的 3 个 miRNA 和 3 个蛋白质编码基因组成。控制中心与蛋白质和 ncRNA 的相互作用确定了 100 多个与已知人格相关的基因直接重叠的基因,以及另外 4000 多个间接相互作用的基因。我们得出结论,六个基因的核心是一个整合网络的核心,该网络协调了超过 4000 个富含液-液相分离(LLPS)相关 RNA、多种转录因子以及人类特异性 miRNA 和 lncRNA 的多模块系统中的信息传递。与人类人格相关的基因表达网络通过自我意识中的显着性和意义的相互作用,调节神经元可塑性、表观遗传和适应性功能。