Germine L, Robinson E B, Smoller J W, Calkins M E, Moore T M, Hakonarson H, Daly M J, Lee P H, Holmes A J, Buckner R L, Gur R C, Gur R E
Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
Psychiatry Department, Harvard Medical School, Boston, MA, USA.
Transl Psychiatry. 2016 Oct 18;6(10):e924. doi: 10.1038/tp.2016.147.
Breakthroughs in genomics have begun to unravel the genetic architecture of schizophrenia risk, providing methods for quantifying schizophrenia polygenic risk based on common genetic variants. Our objective in the current study was to understand the relationship between schizophrenia genetic risk variants and neurocognitive development in healthy individuals. We first used combined genomic and neurocognitive data from the Philadelphia Neurodevelopmental Cohort (4303 participants ages 8-21 years) to screen 26 neurocognitive phenotypes for their association with schizophrenia polygenic risk. Schizophrenia polygenic risk was estimated for each participant based on summary statistics from the most recent schizophrenia genome-wide association analysis (Psychiatric Genomics Consortium 2014). After correction for multiple comparisons, greater schizophrenia polygenic risk was significantly associated with reduced speed of emotion identification and verbal reasoning. These associations were significant by age 9 years and there was no evidence of interaction between schizophrenia polygenic risk and age on neurocognitive performance. We then looked at the association between schizophrenia polygenic risk and emotion identification speed in the Harvard/MGH Brain Genomics Superstruct Project sample (695 participants ages 18-35 years), where we replicated the association between schizophrenia polygenic risk and emotion identification speed. These analyses provide evidence for a replicable association between polygenic risk for schizophrenia and a specific aspect of social cognition. Our findings indicate that individual differences in genetic risk for schizophrenia are linked with the development of aspects of social cognition and potentially verbal reasoning, and that these associations emerge relatively early in development.
基因组学的突破已开始揭示精神分裂症风险的遗传结构,提供了基于常见遗传变异来量化精神分裂症多基因风险的方法。我们当前研究的目的是了解精神分裂症遗传风险变异与健康个体神经认知发展之间的关系。我们首先使用来自费城神经发育队列(4303名8至21岁参与者)的基因组和神经认知数据组合,来筛查26种神经认知表型与精神分裂症多基因风险的关联。基于最新的精神分裂症全基因组关联分析(精神疾病基因组学联盟,2014年)的汇总统计数据,为每位参与者估计精神分裂症多基因风险。在对多重比较进行校正后,更高的精神分裂症多基因风险与情绪识别速度和言语推理能力的降低显著相关。这些关联在9岁时就很显著,并且没有证据表明精神分裂症多基因风险与年龄在神经认知表现上存在相互作用。然后,我们在哈佛/麻省总医院脑基因组超级结构项目样本(695名18至35岁参与者)中研究了精神分裂症多基因风险与情绪识别速度之间 的关联,在该样本中我们重复验证了精神分裂症多基因风险与情绪识别速度之间的关联。这些分析为精神分裂症多基因风险与社会认知的一个特定方面之间存在可重复关联提供了证据。我们的研究结果表明,精神分裂症遗传风险的个体差异与社会认知方面以及潜在的言语推理发展有关,并且这些关联在发育过程中相对较早出现。