Abstract：
Psychiatric disorders frequently co-occur and share common symptoms and genetic backgrounds. Previous research has used genome-wide association studies to identify the interrelationships among psychiatric disorders and identify clusters of disorders; however, these methods have limitations in terms of their ability to examine the relationships among disorders as a network structure and their generalizability to the general population. In this study, we explored the network structure of the polygenic risk score (PRS) for 13 psychiatric disorders in a general population (276,249 participants of European ancestry from the UK Biobank) and identified communities and the centrality of the network. In this network, the nodes represented a PRS for each psychiatric disorder and the edges represented the connections between nodes. The psychiatric disorders comprised four robust communities. The first community included attention-deficit hyperactivity disorder, autism spectrum disorder, major depressive disorder, and anxiety disorder. The second community consisted of bipolar I and II disorders, schizophrenia, and anorexia nervosa. The third group included Tourette\'s syndrome and obsessive-compulsive disorder. Cannabis use disorder, alcohol use disorder, and post-traumatic stress disorder make up the fourth community. The PRS of schizophrenia had the highest values for the three metrics (strength, betweenness, and closeness) in the network. Our findings provide a comprehensive genetic network of psychiatric disorders and biological evidence for the classification of psychiatric disorders.
摘要：
精神疾病经常同时发生，并具有共同的症状和遗传背景。以前的研究已经使用全基因组关联研究来确定精神疾病之间的相互关系，并确定疾病的集群；然而，这些方法在检查疾病之间的关系作为网络结构的能力及其对普通人群的普遍性方面存在局限性.在这项研究中,我们探索了一般人群(来自英国生物银行的276,249名欧洲血统参与者)中13种精神疾病的多基因风险评分(PRS)的网络结构,并确定了社区和网络的中心性.在这个网络中,节点表示每种精神疾病的PRS，边缘表示节点之间的连接。精神疾病由四个强大的社区组成。第一个社区包括注意力缺陷多动障碍，自闭症谱系障碍，重度抑郁症,和焦虑症。第二个社区由躁郁症I和II组成，精神分裂症,和神经性厌食症.第三组包括Tourette综合征和强迫症。大麻使用障碍,酒精使用障碍,创伤后应激障碍构成了第四个群体。精神分裂症的PRS在三个指标(强度，中间性，和紧密)在网络中。我们的发现为精神疾病的分类提供了全面的遗传网络和生物学证据。
