<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Aoki R</submitter><funding>Japan Agency for Medical Research and Development</funding><funding>Ministry of Education, Culture, Sports, Science and Technology</funding><funding>Fujita Health University</funding><funding>Japan Society for the Promotion of Science</funding><pagination>361-366</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9546074</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>76(8)</volume><pubmed_abstract>&lt;h4>Aim&lt;/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.&lt;h4>Methods&lt;/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</pubmed_abstract><journal>Psychiatry and clinical neurosciences</journal><pubmed_title>Shared genetic components between metabolic syndrome and schizophrenia: Genetic correlation using multipopulation data sets.</pubmed_title><pmcid>PMC9546074</pmcid><funding_grant_id>JP21H02854</funding_grant_id><funding_grant_id>JP21tm0424220</funding_grant_id><funding_grant_id>Private University Research Branding Project</funding_grant_id><funding_grant_id>JP20km0405201</funding_grant_id><funding_grant_id>JP20km0405208</funding_grant_id><funding_grant_id>JP17H04251</funding_grant_id><funding_grant_id>JP18K15497</funding_grant_id><funding_grant_id>JP21wm0425008</funding_grant_id><funding_grant_id>JP20dm0107097</funding_grant_id><funding_grant_id>JP21wm0525024</funding_grant_id><funding_grant_id>JP21K07490</funding_grant_id><pubmed_authors>Ashizawa T</pubmed_authors><pubmed_authors>Saito T</pubmed_authors><pubmed_authors>Ito K</pubmed_authors><pubmed_authors>Shimasaki A</pubmed_authors><pubmed_authors>Ikeda M</pubmed_authors><pubmed_authors>Aoki R</pubmed_authors><pubmed_authors>Iwata N</pubmed_authors><pubmed_authors>Ninomiya K</pubmed_authors></additional><is_claimable>false</is_claimable><name>Shared genetic components between metabolic syndrome and schizophrenia: Genetic correlation using multipopulation data sets.</name><description>&lt;h4>Aim&lt;/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.&lt;h4>Methods&lt;/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</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Aug</publication><modification>2025-04-22T12:08:36.408Z</modification><creation>2025-04-06T00:13:00.984Z</creation></dates><accession>S-EPMC9546074</accession><cross_references><pubmed>35536160</pubmed><doi>10.1111/pcn.13372</doi></cross_references></HashMap>