The Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls

被引:119
作者
Coleman, Jonathan R., I [1 ,2 ]
Gaspar, Helena A. [1 ,2 ]
Bryois, Julien [3 ]
Breen, Gerome [1 ,2 ]
机构
[1] Kings Coll London, Inst Psychiat Psychol & Neurosci, Social Genet & Dev Psychiat Ctr, London, England
[2] Kings Coll London, Natl Inst Hlth Res Maudsley Biomed Res Ctr, London, England
[3] Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden
基金
美国国家卫生研究院; 欧盟地平线“2020”; 瑞士国家科学基金会; 英国医学研究理事会; 瑞典研究理事会; 澳大利亚国家健康与医学研究理事会; 加拿大健康研究院; 英国惠康基金; 欧洲研究理事会;
关键词
Affective disorders; Bipolar disorder; Genetic correlation; Genome-wide association study; Major depressive disorder; Mood disorders; MAJOR DEPRESSION; SUSCEPTIBILITY LOCI; IDENTIFIES; 30; HERITABILITY; METAANALYSIS; INDIVIDUALS; INSIGHTS; POLYGENICITY; ARCHITECTURE; PREVALENCE;
D O I
10.1016/j.biopsych.2019.10.015
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
BACKGROUND: Mood 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. METHODS: To 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). RESULTS: Seventy-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. CONCLUSIONS: The 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.
引用
收藏
页码:169 / 184
页数:16
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