Identification of schizophrenia symptom-related gene modules by postmortem brain transcriptome analysis.

ABSTRACT: Schizophrenia is a multifactorial disorder, the genetic architecture of which remains unclear. Although many studies have examined the etiology of schizophrenia, the gene sets that contribute to its symptoms have not been fully investigated. In this study, we aimed to identify each gene set associated with corresponding symptoms of schizophrenia using the postmortem brains of 26 patients with schizophrenia and 51 controls. We classified genes expressed in the prefrontal cortex (analyzed by RNA-seq) into several modules by weighted gene co-expression network analysis (WGCNA) and examined the correlation between module expression and clinical characteristics. In addition, we calculated the polygenic risk score (PRS) for schizophrenia from Japanese genome-wide association studies, and investi

SUBMITTER: Miyahara K 

PROVIDER: S-EPMC10160042 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature