Genetic underpinnings of left superior temporal gyrus thickness in patients with schizophrenia
Year: 2015
Type: article
Abstract: OBJECTIVES: Schizophrenia is a highly disabling psychiatric disorder with a heterogeneous phenotypic appearance. We aimed to further the understanding of some of the underlying genetics of schizophrenia, using left superior temporal gyrus (STG) grey matter thickness reduction as an endophenoptype in a genome-wide association (GWA) study. METHODS: Structural magnetic resonance imaging (MRI) and genetic data of the Mind Clinical Imaging Consortium (MCIC) study of schizophrenia were used to analyse the interaction effects between 1,067,955 single nucleotide polymorphisms (SNPs) and disease status on left STG thickness in 126 healthy controls and 113 patients with schizophrenia. We next used a pathway approach to detect underlying pathophysiological pathways that may be related to schizophrenia. RESULTS: . The most prominent pathways included those involved in insulin, calcium, PI3K-Akt and MAPK signalling. CONCLUSIONS: Our strongest findings in the GWA study and pathway analysis point towards an involvement of glucose metabolism in left STG thickness reduction in patients with schizophrenia only. These results are in line with recently published studies, which showed an increased prevalence of psychosis among patients with metabolic syndrome-related illnesses including diabetes.
Source: PubMed
Institutions: Harvard University, University of Tübingen, King's College London, Georgia State University, Technische Universität Dresden, University of Minnesota, Minneapolis VA Health Care System, Minneapolis VA Medical Center, University of Iowa, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts Institute of Technology, Mind Research Network, University of New Mexico
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: Genetic markers of white matter integrity in schizophrenia: Relationship to clini, Function BIRN, Unified multivariate data-driven solutions for static and dynamic brain connectivity, Morphometry Biomedical Informatics Research Network, Harvard Clinical and Translational Science Center (UL1), Informed Data-Driven Fusion of Behavior, Brain Function, and Genes, Center for Functional Imaging Technologies, Multivariate methods for identifying multitask/multimodal brain imaging biomarkers
OpenAlex ID: W1810835479