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dc.contributor.authorColeman, Jonathan R I
dc.contributor.authorGaspar, Héléna A
dc.contributor.authorBryois, Julien
dc.contributor.authorBreen, Gerome
dc.date.accessioned2023-02-13T19:58:45Z
dc.date.available2023-02-13T19:58:45Z
dc.date.issued2019-11-01
dc.identifier.citationColeman JRI, Gaspar HA, Bryois J; Bipolar Disorder Working Group of the Psychiatric Genomics Consortium; Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium; Breen G. The Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls. Biol Psychiatry. 2020 Jul 15;88(2):169-184. doi: 10.1016/j.biopsych.2019.10.015. Epub 2019 Nov 1. PMID: 31926635; PMCID: PMC8136147.en_US
dc.identifier.eissn1873-2402
dc.identifier.doi10.1016/j.biopsych.2019.10.015
dc.identifier.pmid31926635
dc.identifier.urihttp://hdl.handle.net/20.500.12648/8354
dc.description.abstractMood disorders (including major depressive disorder and bipolar disorder) affect 10% to 20% of the population. They range from brief, mild episodes to severe, incapacitating conditions that markedly impact lives. Multiple approaches have shown considerable sharing of risk factors across mood disorders despite their diagnostic distinction.
dc.description.abstractTo clarify the shared molecular genetic basis of major depressive disorder and bipolar disorder and to highlight disorder-specific associations, we meta-analyzed data from the latest Psychiatric Genomics Consortium genome-wide association studies of major depression (including data from 23andMe) and bipolar disorder, and an additional major depressive disorder cohort from UK Biobank (total: 185,285 cases, 439,741 controls; nonoverlapping N = 609,424).
dc.description.abstractSeventy-three loci reached genome-wide significance in the meta-analysis, including 15 that are novel for mood disorders. More loci from the Psychiatric Genomics Consortium analysis of major depression than from that for bipolar disorder reached genome-wide significance. Genetic correlations revealed that type 2 bipolar disorder correlates strongly with recurrent and single-episode major depressive disorder. Systems biology analyses highlight both similarities and differences between the mood disorders, particularly in the mouse brain cell types implicated by the expression patterns of associated genes. The mood disorders also differ in their genetic correlation with educational attainment-the relationship is positive in bipolar disorder but negative in major depressive disorder.
dc.description.abstractThe mood disorders share several genetic associations, and genetic studies of major depressive disorder and bipolar disorder can be combined effectively to enable the discovery of variants not identified by studying either disorder alone. However, we demonstrate several differences between these disorders. Analyzing subtypes of major depressive disorder and bipolar disorder provides evidence for a genetic mood disorders spectrum.
dc.language.isoenen_US
dc.relation.urlhttps://www.biologicalpsychiatryjournal.com/article/S0006-3223(19)31813-X/fulltexten_US
dc.rightsCopyright © 2019 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAffective disordersen_US
dc.subjectBipolar disorderen_US
dc.subjectGenetic correlationen_US
dc.subjectGenome-wide association studyen_US
dc.subjectMajor depressive disorderen_US
dc.subjectMood disordersen_US
dc.titleThe Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls.en_US
dc.typeArticle/Reviewen_US
dc.source.journaltitleBiological psychiatryen_US
dc.source.volume88
dc.source.issue2
dc.source.beginpage169
dc.source.endpage184
dc.source.countryUnited Kingdom
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited Kingdom
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited Kingdom
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited Kingdom
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited Kingdom
dc.source.countryUnited Kingdom
dc.source.countryUnited Kingdom
dc.source.countryUnited Kingdom
dc.source.countryUnited Kingdom
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited Kingdom
dc.source.countryUnited Kingdom
dc.source.countryUnited Kingdom
dc.source.countryUnited States
dc.source.countryUnited Kingdom
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited Kingdom
dc.source.countryUnited States
dc.source.countryUnited Kingdom
dc.source.countryUnited Kingdom
dc.source.countryUnited Kingdom
dc.source.countryUnited States
dc.source.countryUnited States
dc.description.versionAMen_US
refterms.dateFOA2023-02-13T19:58:45Z
html.description.abstractMood disorders (including major depressive disorder and bipolar disorder) affect 10% to 20% of the population. They range from brief, mild episodes to severe, incapacitating conditions that markedly impact lives. Multiple approaches have shown considerable sharing of risk factors across mood disorders despite their diagnostic distinction.
html.description.abstractTo clarify the shared molecular genetic basis of major depressive disorder and bipolar disorder and to highlight disorder-specific associations, we meta-analyzed data from the latest Psychiatric Genomics Consortium genome-wide association studies of major depression (including data from 23andMe) and bipolar disorder, and an additional major depressive disorder cohort from UK Biobank (total: 185,285 cases, 439,741 controls; nonoverlapping N = 609,424).
html.description.abstractSeventy-three loci reached genome-wide significance in the meta-analysis, including 15 that are novel for mood disorders. More loci from the Psychiatric Genomics Consortium analysis of major depression than from that for bipolar disorder reached genome-wide significance. Genetic correlations revealed that type 2 bipolar disorder correlates strongly with recurrent and single-episode major depressive disorder. Systems biology analyses highlight both similarities and differences between the mood disorders, particularly in the mouse brain cell types implicated by the expression patterns of associated genes. The mood disorders also differ in their genetic correlation with educational attainment-the relationship is positive in bipolar disorder but negative in major depressive disorder.
html.description.abstractThe mood disorders share several genetic associations, and genetic studies of major depressive disorder and bipolar disorder can be combined effectively to enable the discovery of variants not identified by studying either disorder alone. However, we demonstrate several differences between these disorders. Analyzing subtypes of major depressive disorder and bipolar disorder provides evidence for a genetic mood disorders spectrum.
dc.description.institutionSUNY Downstateen_US
dc.description.departmentPsychiatry and Behavioral Sciencesen_US
dc.description.departmentInstitute for Genomics in Healthen_US
dc.description.degreelevelN/Aen_US
dc.identifier.journalBiological psychiatry


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Copyright © 2019 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
Except where otherwise noted, this item's license is described as Copyright © 2019 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.