Wang S-H, Hsiao P-C, Yeh L-L, Liu C-M, Liu C-C, Hwang T-J, Hsieh M H, Chien Y-L, Lin Y-T, Chandler S D, Faraone S V, Laird N, Neale B, McCarroll S A, Glatt S J, Tsuang M T, Hwu H-G, Chen W J
Graduate Institute of Biostatistics, China Medical University, Taichung, Taiwan.
Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
Genes Brain Behav. 2018 Jan;17(1):49-55. doi: 10.1111/gbb.12401. Epub 2017 Aug 8.
Both neurocognitive deficits and schizophrenia are highly heritable. Genetic overlap between neurocognitive deficits and schizophrenia has been observed in both the general population and in the clinical samples. This study aimed to examine if the polygenic architecture of susceptibility to schizophrenia modified neurocognitive performance in schizophrenia patients. Schizophrenia polygenic risk scores (PRSs) were first derived from the Psychiatric Genomics Consortium (PGC) on schizophrenia, and then the scores were calculated in our independent sample of 1130 schizophrenia trios, who had PsychChip data and were part of the Schizophrenia Families from Taiwan project. Pseudocontrols generated from the nontransmitted parental alleles of the parents in these trios were compared with alleles in schizophrenia patients in assessing the replicability of PGC-derived susceptibility variants. Schizophrenia PRS at the P-value threshold (PT) of 0.1 explained 0.2% in the variance of disease status in this Han-Taiwanese samples, and the score itself had a P-value 0.05 for the association test with the disorder. Each patient underwent neurocognitive evaluation on sustained attention using the continuous performance test and executive function using the Wisconsin Card Sorting Test. We applied a structural equation model to construct the neurocognitive latent variable estimated from multiple measured indices in these 2 tests, and then tested the association between the PRS and the neurocognitive latent variable. Higher schizophrenia PRS generated at the PT of 0.1 was significantly associated with poorer neurocognitive performance with explained variance 0.5%. Our findings indicated that schizophrenia susceptibility variants modify the neurocognitive performance in schizophrenia patients.
神经认知缺陷和精神分裂症都具有高度遗传性。在普通人群和临床样本中均观察到神经认知缺陷与精神分裂症之间存在遗传重叠。本研究旨在检验精神分裂症易感性的多基因结构是否会改变精神分裂症患者的神经认知表现。首先从精神疾病基因组学联盟(PGC)关于精神分裂症的数据中得出精神分裂症多基因风险评分(PRSs),然后在我们独立的1130个精神分裂症三联体样本中计算这些评分,这些样本拥有精神芯片数据且是台湾精神分裂症家族项目的一部分。在评估PGC衍生的易感性变异的可重复性时,将这些三联体中父母未传递的亲代等位基因产生的伪对照与精神分裂症患者的等位基因进行比较。在这个台湾汉族样本中,P值阈值(PT)为0.1时的精神分裂症PRS解释了疾病状态方差的0.2%,并且该评分本身与该疾病的关联测试的P值为0.05。每位患者使用连续性能测试进行持续注意力的神经认知评估,并使用威斯康星卡片分类测试进行执行功能评估。我们应用结构方程模型构建从这两项测试中的多个测量指标估计出的神经认知潜在变量,然后测试PRS与神经认知潜在变量之间的关联。在PT为0.1时产生的较高精神分裂症PRS与较差的神经认知表现显著相关,解释方差为0.5%。我们的研究结果表明,精神分裂症易感性变异会改变精神分裂症患者的神经认知表现。