{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Aoki R"],"funding":["Japan Agency for Medical Research and Development","Ministry of Education, Culture, Sports, Science and Technology","Fujita Health University","Japan Society for the Promotion of Science"],"pagination":["361-366"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9546074"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["76(8)"],"pubmed_abstract":["<h4>Aim</h4>The genetic relationship between schizophrenia (SCZ) and other nonpsychiatric disorders remains largely unknown. We examined the shared genetic components between these disorders based on multipopulation data sets.<h4>Methods</h4>We used two data sets for East Asian (EAS) and European (EUR) samples. SCZ data was based on the Psychiatric Genomics Consortium Asia with our own genome-wide association study for EAS and Psychiatric Genomics Consortium for EUR. Nonpsychiatric data (20 binary traits [mainly nonpsychiatric complex disorders] and 34 quantitative traits [mainly laboratory examinations and physical characteristics]) were obtained from Biobank Japan and UK Biobank for EAS and EUR samples, respectively. To evaluate genetic correlation, linkage disequilibrium score regressio"],"journal":["Psychiatry and clinical neurosciences"],"pubmed_title":["Shared genetic components between metabolic syndrome and schizophrenia: Genetic correlation using multipopulation data sets."],"pmcid":["PMC9546074"],"funding_grant_id":["JP21H02854","JP21tm0424220","Private University Research Branding Project","JP20km0405201","JP20km0405208","JP17H04251","JP18K15497","JP21wm0425008","JP20dm0107097","JP21wm0525024","JP21K07490"],"pubmed_authors":["Ashizawa T","Saito T","Ito K","Shimasaki A","Ikeda M","Aoki R","Iwata N","Ninomiya K"],"additional_accession":[]},"is_claimable":false,"name":"Shared genetic components between metabolic syndrome and schizophrenia: Genetic correlation using multipopulation data sets.","description":"<h4>Aim</h4>The genetic relationship between schizophrenia (SCZ) and other nonpsychiatric disorders remains largely unknown. We examined the shared genetic components between these disorders based on multipopulation data sets.<h4>Methods</h4>We used two data sets for East Asian (EAS) and European (EUR) samples. SCZ data was based on the Psychiatric Genomics Consortium Asia with our own genome-wide association study for EAS and Psychiatric Genomics Consortium for EUR. Nonpsychiatric data (20 binary traits [mainly nonpsychiatric complex disorders] and 34 quantitative traits [mainly laboratory examinations and physical characteristics]) were obtained from Biobank Japan and UK Biobank for EAS and EUR samples, respectively. To evaluate genetic correlation, linkage disequilibrium score regressio","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Aug","modification":"2025-04-22T12:08:36.408Z","creation":"2025-04-06T00:13:00.984Z"},"accession":"S-EPMC9546074","cross_references":{"pubmed":["35536160"],"doi":["10.1111/pcn.13372"]}}