Genomic Insights into the Shared and Distinct Genetic Architecture of Cognitive Function and Schizophrenia

Olivia Wootton, Alexey A Shadrin, Thomas Bjella, Olav Bjerkehagen Smeland, Dennis van der Meer, Oleksandr Frei, Kevin S O'Connell, Torill Ueland, Ole Andreassen, Dan J Stein, Shareefa Dalvie
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Abstract

Cognitive impairment is a major determinant of functional outcomes in schizophrenia, and efforts to understand the biological basis of cognitive dysfunction in the disorder are ongoing. Previous studies have suggested genetic overlap between global cognitive ability and schizophrenia, but further work is needed to delineate the shared genetic architecture. Here, we apply genomic structural equation modelling to identify latent cognitive factors capturing genetic liabilities to 12 cognitive traits measured in the UK Biobank (UKB). We explore the overlap between latent cognitive factors, schizophrenia, and schizophrenia symptom dimensions using a complementary set of statistical approaches, applied to data from the latest schizophrenia genome-wide association study (Ncase = 53,386, Ncontrol = 77,258) and the Thematically Organised Psychosis study (Ncase = 306, Ncontrol = 1060). We identified three broad factors (visuo-spatial, verbal analytic and decision/reaction time) that underly the genetic correlations between the UKB cognitive tests. Global genetic correlations showed a significant but moderate negative genetic correlation between each cognitive factor and schizophrenia. Local genetic correlations implicated unique genomic regions underlying the overlap between schizophrenia and each cognitive factor. We found evidence of substantial polygenic overlap between each cognitive factor and schizophrenia but show that most loci shared between the latent cognitive factors and schizophrenia have unique patterns of association with the cognitive factors. Biological annotation of the shared loci implicated gene-sets related to neurodevelopment and neuronal function. Lastly, we find that the common genetic determinants of the latent cognitive factors are not predictive of schizophrenia symptom dimensions. Overall, these findings inform our understanding of cognitive function in schizophrenia by demonstrating important differences in the shared genetic architecture of schizophrenia and cognitive abilities.
认知功能和精神分裂症的共享和独特遗传结构的基因组见解
认知障碍是精神分裂症功能结局的主要决定因素,了解精神分裂症认知功能障碍的生物学基础的努力正在进行中。先前的研究表明,整体认知能力和精神分裂症之间存在遗传重叠,但需要进一步的工作来描述共享的遗传结构。在这里,我们应用基因组结构方程模型来识别潜在的认知因素,这些因素捕获了英国生物银行(UKB)测量的12种认知特征的遗传负债。我们使用一套互补的统计方法,应用最新的精神分裂症全基因组关联研究(Ncase = 53386, Ncontrol = 77,258)和主题组织精神病研究(Ncase = 306, Ncontrol = 1060)的数据,探索潜在认知因素、精神分裂症和精神分裂症症状维度之间的重叠。我们确定了三个广泛的因素(视觉空间,语言分析和决策/反应时间),这是UKB认知测试之间遗传相关性的基础。整体遗传相关性显示各认知因素与精神分裂症之间存在显著但中等的负相关。局部遗传相关性暗示了精神分裂症和每个认知因素之间重叠的独特基因组区域。我们发现了在每个认知因素和精神分裂症之间存在大量多基因重叠的证据,但表明在潜在认知因素和精神分裂症之间共享的大多数位点具有与认知因素相关的独特模式。共享位点的生物学注释涉及与神经发育和神经元功能相关的基因集。最后,我们发现潜在认知因素的共同遗传决定因素并不能预测精神分裂症的症状维度。总的来说,这些发现通过展示精神分裂症和认知能力共享遗传结构的重要差异,为我们理解精神分裂症的认知功能提供了信息。
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