Dataset Information

SZGR: a comprehensive schizophrenia gene resource.

ABSTRACT: Schizophrenia is a major debilitating psychiatric disorder affecting approximately 1% of the population worldwide. A tremendous amount of effort has been expended in the last two decades to identify genes influencing susceptibility to this disorder. Although there is a strong trend toward integrating data obtained from various genetic studies and their related biological information into a comprehensive resource for many complex diseases, we were unable to find such an effort for schizophrenia or for any other psychiatric disorder yet. In this study, we present Schizophrenia gene resource (SZGR), a comprehensive database with user-friendly web interface. SZGR deposits genetic data from all available sources, including those from association studies, linkage scans, gene expression, literature, gene ontology (GO) annotations, gene networks, cellular and regulatory pathways, as well as microRNAs and their target sites. Moreover, SZGR provides online tools for data browse and search, data integration, custom gene ranking and graphical presentation. This system can be easily applied to other complex diseases, especially to other psychiatric disorders. The SZGR database is available at http://bioinfo.mc.vanderbilt.edu/SZGR/.

SUBMITTER: Jia P

PROVIDER: S-EPMC2861797 | biostudies-literature | 2010 May

REPOSITORIES: biostudies-literature

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SZGR: a comprehensive schizophrenia gene resource.

Jia P P Sun J J Guo A Y AY Zhao Z Z

Molecular psychiatry 20100501 5

Schizophrenia is a major debilitating psychiatric disorder affecting approximately 1% of the population worldwide. A tremendous amount of effort has been expended in the last two decades to identify genes influencing susceptibility to this disorder. Although there is a strong trend toward integrating data obtained from various genetic studies and their related biological information into a comprehensive resource for many complex diseases, we were unable to find such an effort for schizophrenia o ...[more]

PMID: 20424623

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Project description:Background: It is unclear if the burden associated with schizophrenia is affected by the type and severity of patient's symptoms. Objective: This study aims to quantify healthcare resource use associated with different profiles of schizophrenia symptoms. Study design: Post-hoc analysis of data from a naturalistic follow-up study. Setting: Secondary psychiatric services in France, Germany and the UK. Patients: EuroSC cohort:, representative sample of 1,208 schizophrenia patients Main outcome measure: We classified patients into eight health states, according to the Lenert classification (HS1-HS8), and estimated 6-month healthcare resource use (outpatient and day clinic visits, and hospitalisations) across the health states. Results: Approximately half of the patients were classed as having mild symptoms (HS1), with around 20% experiencing moderate, predominantly negative symptoms (HS2). The remaining health states were represented by <10% of patients each. Very few patients experienced extremely severe symptoms (HS8). No health state was associated with excess utilisation across all resource types. In terms of outpatient visits, patients were estimated to see a psychiatrist most often (3.01-4.15 visits over 6 months). Hospital admission was needed in 11%(HS1) - 35%(HS8) of patients and inpatient stays were generally prolonged for all health states (39-57 days). The average number of inpatient days was highest for patients in HS8 (18.17 days), followed by patients with severe negative symptoms (HS4; 13.37 days). In other health states characterised by severe symptoms (HS5-HS7), the average number of inpatient days was approximately half of those seen for HS4 (6.09-7.66). Conclusion: While none of the symptom profiles was associated with excess resource usage, hospitalization days were highest for HS with severe, predominantly negative or extremely severe symptoms. Patients with predominantly negative, moderate or severe symptoms appeared to have a high number of psychologist visits - an interesting finding that may reflect a specific therapeutic approach to the treatment of these patients.

Dataset Information

SZGR: a comprehensive schizophrenia gene resource.

Publications

SZGR: a comprehensive schizophrenia gene resource.

Similar Datasets

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