Polygenic risk for autism spectrum disorder affects left amygdala activity and negative emotion in schizophrenia

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作者
Yue Qin
Jujiao Kang
Zeyu Jiao
Yi Wang
Jiucun Wang
Hongyan Wang
Jianfeng Feng
Li Jin
Fei Wang
Xiaohong Gong
机构
[1] Fudan University,State Key Laboratory of Genetic Engineering, School of Life Sciences
[2] Fudan University,Shanghai Center for Mathematical Science
[3] Fudan University,Human Phoneme Institute
[4] Fudan University,Obstetrics and Gynecology Hospital
[5] Fudan University,Institute of Science and Technology for Brain
[6] University of Warwick,inspired Intelligence
[7] The First Affiliated Hospital of China Medical University,Department of Computer Science
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Although the diagnoses based on phenomenology have many practical advantages, accumulating evidence shows that schizophrenia and autism spectrum disorder (ASD) share some overlap in genetics and clinical presentation. It remains largely unknown how ASD-associated polygenetic risk contributes to the pathogenesis of schizophrenia. In the present study, we calculated high-resolution ASD polygenic risk scores (ASD PRSs) and selected optimal ten ASD PRS with minimal P values in the association analysis of PRSs, with schizophrenia to assess the effect of ASD PRS on brain neural activity in schizophrenia cases and controls. We found that amplitude of low-frequency fluctuation in left amygdala was positively associated with ASD PRSs in our cohort. Correlation analysis of ASD PRSs with facial emotion recognition test identified the negative correlation of ASD PRSs with negative emotions in schizophrenia cases and controls. Finally, functional enrichment analysis of PRS genes revealed that neural system function and development, as well as signal transduction, were mainly enriched in PRS genes. Our results provide empirical evidence that polygenic risk for ASD contributes to schizophrenia by the intermediate phenotypes of left amygdala function and emotion recognition. It provides a promising strategy to understand the relationship between phenotypes and genotypes shared in mental disorders.
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