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Polygenic effects of schizophrenia on hippocampal grey matter volume and hippocampus–medial prefrontal cortex functional connectivity

  • Shu Liu (a1) (a2), Ang Li (a2) (a3), Yong Liu (a2) (a4), Hao Yan (a5) (a6), Meng Wang (a2) (a3), Yuqing Sun (a2) (a3), Lingzhong Fan (a2) (a4), Ming Song (a2) (a7), Kaibin Xu (a2) (a3), Jun Chen (a8), Yunchun Chen (a9), Huaning Wang (a9), Hua Guo (a10), Ping Wan (a10), Luxian Lv (a11) (a12), Yongfeng Yang (a12) (a13), Peng Li (a6) (a14), Lin Lu (a6) (a15), Jun Yan (a6) (a15), Huiling Wang (a16), Hongxing Zhang (a12) (a11), Huawang Wu (a17), Yuping Ning (a18), Dai Zhang (a6) (a15), Tianzi Jiang (a2) (a4) and Bing Liu (a2) (a4)...



Schizophrenia is a complex mental disorder with high heritability and polygenic inheritance. Multimodal neuroimaging studies have also indicated that abnormalities of brain structure and function are a plausible neurobiological characterisation of schizophrenia. However, the polygenic effects of schizophrenia on these imaging endophenotypes have not yet been fully elucidated.


To investigate the effects of polygenic risk for schizophrenia on the brain grey matter volume and functional connectivity, which are disrupted in schizophrenia.


Genomic and neuroimaging data from a large sample of Han Chinese patients with schizophrenia (N = 509) and healthy controls (N = 502) were included in this study. We examined grey matter volume and functional connectivity via structural and functional magnetic resonance imaging, respectively. Using the data from a recent meta-analysis of a genome-wide association study that comprised a large number of Chinese people, we calculated a polygenic risk score (PGRS) for each participant.


The imaging genetic analysis revealed that the individual PGRS showed a significantly negative correlation with the hippocampal grey matter volume and hippocampus–medial prefrontal cortex functional connectivity, both of which were lower in the people with schizophrenia than in the controls. We also found that the observed neuroimaging measures showed weak but similar changes in unaffected first-degree relatives of patients with schizophrenia.


These findings suggested that genetically influenced brain grey matter volume and functional connectivity may provide important clues for understanding the pathological mechanisms of schizophrenia and for the early diagnosis of schizophrenia.

Declaration of interest



Corresponding author

Correspondence: Bing Liu, Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, 95 Zhong Guan Cun East Road, Hai Dian District, Beijing 100190, China. Email:


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Polygenic effects of schizophrenia on hippocampal grey matter volume and hippocampus–medial prefrontal cortex functional connectivity

  • Shu Liu (a1) (a2), Ang Li (a2) (a3), Yong Liu (a2) (a4), Hao Yan (a5) (a6), Meng Wang (a2) (a3), Yuqing Sun (a2) (a3), Lingzhong Fan (a2) (a4), Ming Song (a2) (a7), Kaibin Xu (a2) (a3), Jun Chen (a8), Yunchun Chen (a9), Huaning Wang (a9), Hua Guo (a10), Ping Wan (a10), Luxian Lv (a11) (a12), Yongfeng Yang (a12) (a13), Peng Li (a6) (a14), Lin Lu (a6) (a15), Jun Yan (a6) (a15), Huiling Wang (a16), Hongxing Zhang (a12) (a11), Huawang Wu (a17), Yuping Ning (a18), Dai Zhang (a6) (a15), Tianzi Jiang (a2) (a4) and Bing Liu (a2) (a4)...
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