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dc.contributor.authorGiannakopoulou, Olga
dc.contributor.authorLin, Kuang
dc.contributor.authorMeng, Xiangrui
dc.contributor.authorSu, Mei-Hsin
dc.contributor.authorKuo, Po-Hsiu
dc.contributor.authorPeterson, Roseann E
dc.contributor.authorAwasthi, Swapnil
dc.contributor.authorMoscati, Arden
dc.contributor.authorColeman, Jonathan R I
dc.contributor.authorBass, Nick
dc.contributor.authorMillwood, Iona Y
dc.contributor.authorChen, Yiping
dc.contributor.authorChen, Zhengming
dc.contributor.authorChen, Hsi-Chung
dc.contributor.authorLu, Mong-Liang
dc.contributor.authorHuang, Ming-Chyi
dc.contributor.authorChen, Chun-Hsin
dc.contributor.authorStahl, Eli A
dc.contributor.authorLoos, Ruth J F
dc.contributor.authorMullins, Niamh
dc.contributor.authorUrsano, Robert J
dc.contributor.authorKessler, Ronald C
dc.contributor.authorStein, Murray B
dc.contributor.authorSen, Srijan
dc.contributor.authorScott, Laura J
dc.contributor.authorBurmeister, Margit
dc.contributor.authorFang, Yu
dc.contributor.authorTyrrell, Jess
dc.contributor.authorJiang, Yunxuan
dc.contributor.authorTian, Chao
dc.contributor.authorMcIntosh, Andrew M
dc.contributor.authorRipke, Stephan
dc.contributor.authorDunn, Erin C
dc.contributor.authorKendler, Kenneth S
dc.contributor.authorWalters, Robin G
dc.contributor.authorLewis, Cathryn M
dc.contributor.authorKuchenbaecker, Karoline
dc.date.accessioned2023-02-13T18:38:34Z
dc.date.available2023-02-13T18:38:34Z
dc.identifier.citationGiannakopoulou O, Lin K, Meng X, Su MH, Kuo PH, Peterson RE, Awasthi S, Moscati A, Coleman JRI, Bass N, Millwood IY, Chen Y, Chen Z, Chen HC, Lu ML, Huang MC, Chen CH, Stahl EA, Loos RJF, Mullins N, Ursano RJ, Kessler RC, Stein MB, Sen S, Scott LJ, Burmeister M, Fang Y, Tyrrell J, Jiang Y, Tian C, McIntosh AM, Ripke S, Dunn EC, Kendler KS, Walters RG, Lewis CM, Kuchenbaecker K; 23andMe Research Team, China Kadoorie Biobank Collaborative Group, and Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium. The Genetic Architecture of Depression in Individuals of East Asian Ancestry: A Genome-Wide Association Study. JAMA Psychiatry. 2021 Nov 1;78(11):1258-1269. doi: 10.1001/jamapsychiatry.2021.2099. PMID: 34586374; PMCID: PMC8482304.en_US
dc.identifier.eissn2168-6238
dc.identifier.doi10.1001/jamapsychiatry.2021.2099
dc.identifier.pmid34586374
dc.identifier.urihttp://hdl.handle.net/20.500.12648/8344
dc.description.abstractMost previous genome-wide association studies (GWAS) of depression have used data from individuals of European descent. This limits the understanding of the underlying biology of depression and raises questions about the transferability of findings between populations.
dc.description.abstractTo investigate the genetics of depression among individuals of East Asian and European descent living in different geographic locations, and with different outcome definitions for depression.
dc.description.abstractGenome-wide association analyses followed by meta-analysis, which included data from 9 cohort and case-control data sets comprising individuals with depression and control individuals of East Asian descent. This study was conducted between January 2019 and May 2021.
dc.description.abstractAssociations of genetic variants with depression risk were assessed using generalized linear mixed models and logistic regression. The results were combined across studies using fixed-effects meta-analyses. These were subsequently also meta-analyzed with the largest published GWAS for depression among individuals of European descent. Additional meta-analyses were carried out separately by outcome definition (clinical depression vs symptom-based depression) and region (East Asian countries vs Western countries) for East Asian ancestry cohorts.
dc.description.abstractDepression status was defined based on health records and self-report questionnaires.
dc.description.abstractThere were a total of 194 548 study participants (approximate mean age, 51.3 years; 62.8% women). Participants included 15 771 individuals with depression and 178 777 control individuals of East Asian descent. Five novel associations were identified, including 1 in the meta-analysis for broad depression among those of East Asian descent: rs4656484 (β = -0.018, SE = 0.003, P = 4.43x10-8) at 1q24.1. Another locus at 7p21.2 was associated in a meta-analysis restricted to geographically East Asian studies (β = 0.028, SE = 0.005, P = 6.48x10-9 for rs10240457). The lead variants of these 2 novel loci were not associated with depression risk in European ancestry cohorts (β = -0.003, SE = 0.005, P = .53 for rs4656484 and β = -0.005, SE = 0.004, P = .28 for rs10240457). Only 11% of depression loci previously identified in individuals of European descent reached nominal significance levels in the individuals of East Asian descent. The transancestry genetic correlation between cohorts of East Asian and European descent for clinical depression was r = 0.413 (SE = 0.159). Clinical depression risk was negatively genetically correlated with body mass index in individuals of East Asian descent (r = -0.212, SE = 0.084), contrary to findings for individuals of European descent.
dc.description.abstractThese results support caution against generalizing findings about depression risk factors across populations and highlight the need to increase the ancestral and geographic diversity of samples with consistent phenotyping.
dc.language.isoenen_US
dc.relation.urlhttps://jamanetwork.com/journals/jamapsychiatry/fullarticle/2784695en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleThe Genetic Architecture of Depression in Individuals of East Asian Ancestry: A Genome-Wide Association Study.en_US
dc.typeArticle/Reviewen_US
dc.source.journaltitleJAMA psychiatryen_US
dc.source.volume78
dc.source.issue11
dc.source.beginpage1258
dc.source.endpage1269
dc.source.countryUnited Kingdom
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 Kingdom
dc.source.countryUnited Kingdom
dc.source.countryUnited Kingdom
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 Kingdom
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 Kingdom
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.description.versionVoRen_US
refterms.dateFOA2023-02-13T18:38:34Z
html.description.abstractMost previous genome-wide association studies (GWAS) of depression have used data from individuals of European descent. This limits the understanding of the underlying biology of depression and raises questions about the transferability of findings between populations.
html.description.abstractTo investigate the genetics of depression among individuals of East Asian and European descent living in different geographic locations, and with different outcome definitions for depression.
html.description.abstractGenome-wide association analyses followed by meta-analysis, which included data from 9 cohort and case-control data sets comprising individuals with depression and control individuals of East Asian descent. This study was conducted between January 2019 and May 2021.
html.description.abstractAssociations of genetic variants with depression risk were assessed using generalized linear mixed models and logistic regression. The results were combined across studies using fixed-effects meta-analyses. These were subsequently also meta-analyzed with the largest published GWAS for depression among individuals of European descent. Additional meta-analyses were carried out separately by outcome definition (clinical depression vs symptom-based depression) and region (East Asian countries vs Western countries) for East Asian ancestry cohorts.
html.description.abstractDepression status was defined based on health records and self-report questionnaires.
html.description.abstractThere were a total of 194 548 study participants (approximate mean age, 51.3 years; 62.8% women). Participants included 15 771 individuals with depression and 178 777 control individuals of East Asian descent. Five novel associations were identified, including 1 in the meta-analysis for broad depression among those of East Asian descent: rs4656484 (β = -0.018, SE = 0.003, P = 4.43x10-8) at 1q24.1. Another locus at 7p21.2 was associated in a meta-analysis restricted to geographically East Asian studies (β = 0.028, SE = 0.005, P = 6.48x10-9 for rs10240457). The lead variants of these 2 novel loci were not associated with depression risk in European ancestry cohorts (β = -0.003, SE = 0.005, P = .53 for rs4656484 and β = -0.005, SE = 0.004, P = .28 for rs10240457). Only 11% of depression loci previously identified in individuals of European descent reached nominal significance levels in the individuals of East Asian descent. The transancestry genetic correlation between cohorts of East Asian and European descent for clinical depression was r = 0.413 (SE = 0.159). Clinical depression risk was negatively genetically correlated with body mass index in individuals of East Asian descent (r = -0.212, SE = 0.084), contrary to findings for individuals of European descent.
html.description.abstractThese results support caution against generalizing findings about depression risk factors across populations and highlight the need to increase the ancestral and geographic diversity of samples with consistent phenotyping.
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.journalJAMA psychiatry


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