TY - JOUR
T1 - Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depressive disorder
AU - eQTLGen Consortium
AU - 23andMe Research Team
AU - Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
AU - Wray, Naomi R.
AU - Ripke, Stephan
AU - Mattheisen, Manuel
AU - Trzaskowski, Maciej
AU - Byrne, Enda M.
AU - Abdellaoui, Abdel
AU - Adams, Mark J.
AU - Agerbo, Esben
AU - Air, Tracy M.
AU - Andlauer, Till F.M.
AU - Bacanu, Silviu Alin
AU - Bækvad-Hansen, Marie
AU - Beekman, Aartjan T.F.
AU - Bigdeli, Tim B.
AU - Binder, Elisabeth B.
AU - Blackwood, Douglas H.R.
AU - Bryois, Julien
AU - Buttenschøn, Henriette N.
AU - Bybjerg-Grauholm, Jonas
AU - Cai, Na
AU - Castelao, Enrique
AU - Christensen, Jane Hvarregaard
AU - Clarke, Toni Kim
AU - Coleman, Jonathan R.I.
AU - Colodro-Conde, Lucía
AU - Couvy-Duchesne, Baptiste
AU - Craddock, Nick
AU - Crawford, Gregory E.
AU - Crowley, Cheynna A.
AU - Dashti, Hassan S.
AU - Davies, Gail
AU - Deary, Ian J.
AU - Degenhardt, Franziska
AU - Derks, Eske M.
AU - Direk, Nese
AU - Dolan, Conor V.
AU - Dunn, Erin C.
AU - Eley, Thalia C.
AU - Eriksson, Nicholas
AU - Escott-Price, Valentina
AU - Kiadeh, Farnush Farhadi Hassan
AU - Finucane, Hilary K.
AU - Forstner, Andreas J.
AU - Frank, Josef
AU - Gaspar, Héléna A.
AU - Gill, Michael
AU - Giusti-Rodríguez, Paola
AU - Goes, Fernando S.
AU - MacKinnon, Dean F.
AU - Potash, James B.
N1 - Publisher Copyright:
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2017/7/24
Y1 - 2017/7/24
N2 - Major depressive disorder (MDD) is a notably complex illness with a lifetime prevalence of 14%. 1 It is often chronic or recurrent and is thus accompanied by considerable morbidity, excess mortality, substantial costs, and heightened risk of suicide. 2-7 MDD is a major cause of disability worldwide. 8 We conducted a genome-wide association (GWA) meta-analysis in 130,664 MDD cases and 330,470 controls, and identified 44 independent loci that met criteria for statistical significance. We present extensive analyses of these results which provide new insights into the nature of MDD. The genetic findings were associated with clinical features of MDD, and implicated prefrontal and anterior cingulate cortex in the pathophysiology of MDD (regions exhibiting anatomical differences between MDD cases and controls). Genes that are targets of antidepressant medications were strongly enriched for MDD association signals (P=8.5x10-10), suggesting the relevance of these findings for improved pharmacotherapy of MDD. Sets of genes involved in gene splicing and in creating isoforms were also enriched for smaller MDD GWA P-values, and these gene sets have also been implicated in schizophrenia and autism. Genetic risk for MDD was correlated with that for many adult and childhood onset psychiatric disorders. Our analyses suggested important relations of genetic risk for MDD with educational attainment, body mass, and schizophrenia: the genetic basis of lower educational attainment and higher body mass were putatively causal for MDD whereas MDD and schizophrenia reflected a partly shared biological etiology. All humans carry lesser or greater numbers of genetic risk factors for MDD, and a continuous measure of risk underlies the observed clinical phenotype. MDD is not a distinct entity that neatly demarcates normalcy from pathology but rather a useful clinical construct associated with a range of adverse outcomes and the end result of a complex process of intertwined genetic and environmental effects. These findings help refine and define the fundamental basis of MDD.
AB - Major depressive disorder (MDD) is a notably complex illness with a lifetime prevalence of 14%. 1 It is often chronic or recurrent and is thus accompanied by considerable morbidity, excess mortality, substantial costs, and heightened risk of suicide. 2-7 MDD is a major cause of disability worldwide. 8 We conducted a genome-wide association (GWA) meta-analysis in 130,664 MDD cases and 330,470 controls, and identified 44 independent loci that met criteria for statistical significance. We present extensive analyses of these results which provide new insights into the nature of MDD. The genetic findings were associated with clinical features of MDD, and implicated prefrontal and anterior cingulate cortex in the pathophysiology of MDD (regions exhibiting anatomical differences between MDD cases and controls). Genes that are targets of antidepressant medications were strongly enriched for MDD association signals (P=8.5x10-10), suggesting the relevance of these findings for improved pharmacotherapy of MDD. Sets of genes involved in gene splicing and in creating isoforms were also enriched for smaller MDD GWA P-values, and these gene sets have also been implicated in schizophrenia and autism. Genetic risk for MDD was correlated with that for many adult and childhood onset psychiatric disorders. Our analyses suggested important relations of genetic risk for MDD with educational attainment, body mass, and schizophrenia: the genetic basis of lower educational attainment and higher body mass were putatively causal for MDD whereas MDD and schizophrenia reflected a partly shared biological etiology. All humans carry lesser or greater numbers of genetic risk factors for MDD, and a continuous measure of risk underlies the observed clinical phenotype. MDD is not a distinct entity that neatly demarcates normalcy from pathology but rather a useful clinical construct associated with a range of adverse outcomes and the end result of a complex process of intertwined genetic and environmental effects. These findings help refine and define the fundamental basis of MDD.
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U2 - 10.1101/167577
DO - 10.1101/167577
M3 - Article
AN - SCOPUS:85095641520
JO - Advances in Water Resources
JF - Advances in Water Resources
SN - 0309-1708
ER -