Grotzinger Andrew D, Werme Josefin, Peyrot Wouter J, Frei Oleksandr, de Leeuw Christiaan, Bicks Lucy K, Guo Qiuyu, Margolis Michael P, Coombes Brandon J, Batzler Anthony, Pazdernik Vanessa, Biernacka Joanna M, Andreassen Ole A, Anttila Verneri, Børglum Anders D, Cai Na, Demontis Ditte, Edenberg Howard J, Faraone Stephen V, Franke Barbara, Gandal Michael J, Gelernter Joel, Hettema John M, Jonas Katherine G, Knowles James A, Koenen Karestan C, Maihofer Adam X, Mallard Travis T, Mattheisen Manuel, Mitchell Karen S, Neale Benjamin M, Nievergelt Caroline M, Nurnberger John I, O'Connell Kevin S, Robinson Elise B, Sanchez-Roige Sandra S, Santangelo Susan L, Stefansson Hreinn, Stefansson Kari, Stein Murray B, Strom Nora I, Thornton Laura M, Tucker-Drob Elliot M, Verhulst Brad, Waldman Irwin D, Walters G Bragi, Wray Naomi R, Lee Phil H, Kendler Kenneth S, Smoller Jordan W
Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO.
Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO.
medRxiv. 2025 Jan 15:2025.01.14.25320574. doi: 10.1101/2025.01.14.25320574.
Psychiatric disorders display high levels of comorbidity and genetic overlap. Genomic methods have shown that even for schizophrenia and bipolar disorder, two disorders long-thought to be etiologically distinct, the majority of genetic signal is shared. Furthermore, recent cross-disorder analyses have uncovered over a hundred pleiotropic loci shared across eight disorders. However, the full scope of shared and disorder-specific genetic basis of psychopathology remains largely uncharted. Here, we address this gap by triangulating across a suite of cutting-edge statistical genetic and functional genomic analyses applied to 14 childhood- and adult-onset psychiatric disorders (1,056,201 cases). Our analyses identify and characterize five underlying genomic factors that explain the majority of the genetic variance of the individual disorders (~66% on average) and are associated with 268 pleiotropic loci. We observed particularly high levels of polygenic overlap and local genetic correlation and very few disorder-specific loci for two factors defined by: () schizophrenia and bipolar disorder ("SB factor"), and by () major depression, PTSD, and anxiety ("internalizing factor"). At the functional level, we applied multiple methods which demonstrated that the shared genetic signal across the SB factor was substantially enriched in genes expressed in excitatory neurons, whereas the internalizing factor was associated with oligodendrocyte biology. By comparison, the genetic signal shared across all 14 disorders was enriched for broad biological processes (e.g., transcriptional regulation). These results indicate increasing differentiation of biological function at different levels of shared cross-disorder risk, from quite general vulnerability to more specific pathways associated with subsets of disorders. These observations may inform a more neurobiologically valid psychiatric nosology and implicate novel targets for therapeutic developments designed to treat commonly occurring comorbid presentations.
精神疾病表现出高度的共病性和基因重叠性。基因组学方法已经表明,即使对于精神分裂症和双相情感障碍这两种长期以来被认为病因不同的疾病,大部分遗传信号也是共享的。此外,最近的跨疾病分析发现了一百多个在八种疾病中共享的多效性位点。然而,精神病理学中共享的和特定疾病的遗传基础的全貌在很大程度上仍未被揭示。在这里,我们通过对应用于14种儿童期和成人期精神疾病(1,056,201例)的一系列前沿统计遗传学和功能基因组学分析进行三角测量来填补这一空白。我们的分析确定并描述了五个潜在的基因组因素,这些因素解释了个体疾病中大部分的遗传变异(平均约66%),并与268个多效性位点相关。我们观察到,由(1)精神分裂症和双相情感障碍(“SB因素”)以及由(2)重度抑郁症、创伤后应激障碍和焦虑症(“内化因素”)定义的两个因素具有特别高的多基因重叠水平和局部遗传相关性,并且几乎没有疾病特异性位点。在功能层面,我们应用了多种方法证明,SB因素中的共享遗传信号在兴奋性神经元中表达的基因中显著富集,而内化因素与少突胶质细胞生物学相关。相比之下,在所有14种疾病中共享的遗传信号在广泛的生物学过程(如转录调控)中富集。这些结果表明,在不同水平的共享跨疾病风险中,生物功能的分化在增加,从相当普遍的易感性到与疾病亚组相关的更具体的途径。这些观察结果可能为更具神经生物学有效性的精神疾病分类学提供信息,并为旨在治疗常见共病表现的治疗发展暗示新的靶点。