Journal
NEUROIMAGE
Volume 225, Issue -, Pages -Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2020.117526
Keywords
-
Funding
- National Key Research and Development Program of China [2018YFC1314300]
- National Natural Science Foundation of China [82030053, 82072001, 81971599, 81425013]
- Tianjin Key Technology RD Program [17ZXMFSY00090]
- Tianjin Natural Science Foundation [19JCYBJC25100, 18JCQNJC10900, 17JCZDJC36300]
- Research Fund for Young Scholars of Tianjin Medical University General Hospital [ZYYFY2018007]
Ask authors/readers for more resources
This study identified 98 genes associated with GMV changes in schizophrenia, which were functionally enriched for chemical synaptic transmission, central nervous system development, and cell projection. These genes could be used as candidate genes to explore biological mechanisms underlying the structural impairments in schizophrenia.
Although both schizophrenia and gray matter volume (GMV) show high heritability, however, genes accounting for GMV alterations in schizophrenia remain largely unknown. Based on risk genes identified in schizophrenia by the genome-wide association study of the Schizophrenia Working Group of the Psychiatric Genomics Consortium, we used transcription-neuroimaging association analysis to test that which of these genes are associated with GMV changes in schizophrenia. For each brain tissue sample, the expression profiles of 196 schizophrenia risk genes were extracted from six donated normal brains of the Allen Human Brain Atlas, and GMV differences between patients with schizophrenia and healthy controls were calculated based on five independent case-control structural MRI datasets (276 patients and 284 controls). Genes associated with GMV changes in schizophrenia were identified by performing cross-sample spatial correlations between expression levels of each gene and case-control GMV difference derived from the five MRI datasets integrated by harmonization and meta-analysis. We found that expression levels of 98 genes consistently showed significant cross-sample spatial correlations with GMV changes in schizophrenia. These genes were functionally enriched for chemical synaptic transmission, central nervous system development, and cell projection. Overall, this study provides a set of genes possibly associated with GMV changes in schizophrenia, which could be used as candidate genes to explore biological mechanisms underlying the structural impairments in schizophrenia.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available