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Schizophrenia is a chronic, progressive, and multifactorial disorder that leads to significant disability and social maladaptation in patients. Although considerable progress has been made in research, the etiology and pathogenesis of schizophrenia remain incompletely understood. However, the involvement of genetic factors in the development of this disease has been established. Using the GWAS catalog, we identified variants within the TCF4 gene that showed a significant association with schizophrenia. The GWAS catalog lists 30 variants within the TCF4 gene associated with schizophrenia. Among these, 12 variants demonstrate a specific association with schizophrenia in the absence of reported comorbidities.The presence and allele frequencies of these variants were subsequently analyzed in two population databases: Database of Population Frequencies of Genetic Variants in the Russian Federation (DPF) and gnomAD. For the functional annotation of the genetic variants, we utilized specialized tracks within the UCSC Genome Browser. The CpG Islands track served to identify potential regulatory regions. The GeneHancer database was used to predict SNP localization within enhancer regions and their potential target genes. To characterize the epigenetic landscape and functional chromatin states, the ENCODE Regulation and ENCODE cCREs tracks were utilized. Comparative analysis revealed significant heterogeneity in the allele and genotype frequencies of TCF4 polymorphisms between the Russian population and other global cohorts. This observed inter-ethnic variability may partly explain the discrepant genetic association findings for schizophrenia reported across different ancestral groups. Therefore, further functional studies are essential to define the precise mechanisms by which TCF4 variants contribute to disease pathogenesis.
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