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Proper Citation: KI Biobank - STAR (RRID:SCR_005923)
Description: Large, ongoing, multifactorial study based on nation-wide ascertainment of patients with schizophrenia and bipolar disorder through the Swedish Twin Registry to include both neuroimaging data, neurocognitive function, molecular genetic data and early adverse environmental factors in the same model in a genetic sensitive design. Swedish schizophrenia research will benefit from this large study database of in total 240 affected and healthy twin pairs collected over a 5 year period. The specific aims are: * To elucidate neural endophenotypes for schizophrenia and bipolar disorder and to clarify the extent of overlap in these features between the two syndromes. * To investigate candidate genes and genomic regions for linkage and association with neural endophenotypes for schizophrenia and bipolar disease. * To determine the contributions of adverse prenatal and perinatal conditions to neural changes associated with schizophrenia and bipolar disease. Types of samples * EDTA whole blood * DNA * RNA Number of sample donors: 251 (June 2010)
Abbreviations: KI Biobank - STAR
Synonyms: Schizophrenia and Bipolar Disorder: Neural endophenotypes genetic liability and adverse fetal environment, KI Biobank - Schizophrenia Twins and Relatives, Schizophrenia Twins and Relatives
Resource Type: material resource, biomaterial supply resource
Keywords: twin, neuroimaging, environmental factor, environment, gene, endophenotype, behavioral symptom, phenotype, neural endophenotype, genetics, adverse fetal environment, prenatal event, perinatal condition, neurocognitive, mri
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
Email: info_at_ dknet.org
