Objectives: Schizophrenia is a complex and chronic neuropsychiatric disorder. Recent genome-wide association studies have identified several at risk genetic variants, including two single nucleotide polymorphisms, namely the rs10503253 and the rs1270942 respectively located in the CSMD1 and the CFB loci. The present case-control study was designed to assess potential associations between the two variants and the risk of developing schizophrenia and disease severity. Further we demonstrate the relationship between these variants and clinical characteristics in a population-group from Tunisia.
Patients And Methods: In total, 216 patients diagnosed with schizophrenia along with176 healthy controls were included in this case-control study. The molecular analysis of the two polymorphisms was performed using tetra the Primer Amplification Refractory Mutation System-Polymerase Chain method. The statistical analysis was done using Compare V2.1 software, and correlations between genetic results and clinical characteristics were examined by Kruskal-Wallis testing.
Results: The frequency of the rs10503253A allele was found significantly higher among patients with schizophrenia as compared to healthy controls and associated with high negative PANSS scores. While no association was found concerning the implication of the rs1270942 variant in schizophrenia risk, a positive correlation with high positive PANSS scores was further observed.
Conclusion: The present finding confirms the previously reported association between the Cub and Sushi multiple Domain 1 rs10503253A allele and the risk to develop schizophrenia and identified the rs1270942 variant as a potential disease risk modifier. Such observations may be important for the definition of the susceptible immunogenetic background in North African individuals at risk to develop mental disorders.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.encep.2023.08.002 | DOI Listing |
Nat Commun
January 2025
Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Identifying cell types and brain regions critical for psychiatric disorders and brain traits is essential for targeted neurobiological research. By integrating genomic insights from genome-wide association studies with a comprehensive single-cell transcriptomic atlas of the adult human brain, we prioritized specific neuronal clusters significantly enriched for the SNP-heritabilities for schizophrenia, bipolar disorder, and major depressive disorder along with intelligence, education, and neuroticism. Extrapolation of cell-type results to brain regions reveals the whole-brain impact of schizophrenia genetic risk, with subregions in the hippocampus and amygdala exhibiting the most significant enrichment of SNP-heritability.
View Article and Find Full Text PDFNeuroscience
January 2025
School of Aerospace Engineering, Xi'an Jiaotong University, Xi'an, China; State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi'an, China; National Demonstration Center for Experimental Mechanics Education, Xi'an Jiaotong University, Xi'an, China. Electronic address:
Schizophrenia (SCHZ), bipolar disorder (BD), and attention-deficit/hyperactivity disorder (ADHD) share clinical symptoms and risk genes, but the shared and distinct neural dynamic mechanisms remain inadequately understood. Degree is a fundamental and important graph measure in network neuroscience, and we here extended the degree to hierarchical levels based on eigenmodes and compared the resting-state brain networks of three disorders and healthy controls (HC). First, compared to HC, SCHZ and BD patients exhibited substantially overlapped abnormalities in brain networks, wherein BD patients displayed more significant alterations.
View Article and Find Full Text PDFJ Child Psychol Psychiatry
January 2025
Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Psychosis in children and adolescents has been studied on a spectrum from (common) psychotic experiences to (rare) early-onset schizophrenia spectrum disorders. This research review looks at the state-of-the-art for research across the psychosis spectrum, from evidence on psychotic experiences in community and clinical samples of children and adolescents to findings from psychosis risk syndrome research, to evidence on early-onset psychotic disorders. The review also looks at new opportunities to capture psychosis risk in childhood and adolescence, including opportunities for early intervention, identifies important unanswered questions, and points to future directions for prevention research.
View Article and Find Full Text PDFJ Child Psychol Psychiatry
January 2025
National Centre for Register-Based Research (NCRR), Aarhus University, Aarhus, Denmark.
Background: More research is needed to understand psychopathology among parents of children with mental disorders in the years before and after the child is diagnosed. Here, we estimated the risk of mental disorders and psychotropic medication use in parents of children with versus without mental disorders and the temporal associations between child and parental psychopathology.
Methods: We conducted a population-based matched cohort study using Danish register data.
Int J Geriatr Psychiatry
January 2025
Department of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University, Kyoto, Japan.
Objectives: The diagnosis of early-onset Alzheimer's disease (EOAD) can cause emotional stress not only to the patients themselves but also to their spouses. This study aimed to evaluate the risk of psychiatric disorders in spouses of EOAD patients, using psychotropic drug initiation as a surrogate indicator.
Methods: A cohort study was conducted using a Japanese claims database, with spouses of EOAD patients (exposed spouses) matched with spouses of non-EOAD individuals (reference spouses) up to a 1:10 ratio.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!