Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

Major depressive disorder (MDD) is a common illness accompanied by considerable morbidity, mortality, costs, and heightened risk of suicide. We conducted a genome-wide association meta-analysis based in 135,458 cases and 344,901 controls and identified 44 independent and significant loci. The genetic findings were associated with clinical features of major depression and implicated brain regions exhibiting anatomical differences in cases. Targets of antidepressant medications and genes involved in gene splicing were enriched for smaller association signal. We found important relationships of g... Mehr ...

Verfasser: Wray, Naomi R.
Ripke, Stephan
Mattheisen, Manuel
Trzaskowski, MacIej
Byrne, Enda M.
Abdellaoui, Abdel
Adams, Mark J.
Agerbo, Esben
Air, Tracy M.
Andlauer, Till M.F.
Bacanu, Silviu Alin
Bækvad-Hansen, Marie
Beekman, Aartjan F.T.
Bigdeli, Tim B.
Binder, Elisabeth B.
Blackwood, Douglas R.H.
Bryois, Julien
Buttenschøn, Henriette N.
Bybjerg-Grauholm, Jonas
Cai, Na
Castelao, Enrique
Christensen, Jane Hvarregaard
Clarke, Toni Kim
Coleman, Jonathan I.R.
Colodro-Conde, Lucía
Couvy-Duchesne, Baptiste
Craddock, Nick
Crawford, Gregory E.
Crowley, Cheynna A.
Dashti, Hassan S.
Davies, Gail
Deary, Ian J.
Degenhardt, Franziska
Derks, Eske M.
DIrek, Nese
Dolan, Conor V.
Dunn, Erin C.
Eley, Thalia C.
Eriksson, Nicholas
Hottenga, Jouke Jan
Jansen, Rick
Mbarek, Hamdi
Middeldorp, Christel M.
Milaneschi, Yuri
Nivard, M. G.
Posthuma, Danielle
Smit, Johannes H.
Willemsen, G.
Boomsma, Dorret I.
Penninx, Brenda W.J.H.
Dokumenttyp: Artikel
Erscheinungsdatum: 2018
Reihe/Periodikum: Wray , N R , Ripke , S , Mattheisen , M , Trzaskowski , M , Byrne , E M , Abdellaoui , A , Adams , M J , Agerbo , E , Air , T M , Andlauer , T M F , Bacanu , S A , Bækvad-Hansen , M , Beekman , A F T , Bigdeli , T B , Binder , E B , Blackwood , D R H , Bryois , J , Buttenschøn , H N , Bybjerg-Grauholm , J , Cai , N , Castelao , E , Christensen , J H , Clarke , T K , Coleman , J I R , Colodro-Conde , L , Couvy-Duchesne , B , Craddock , N , Crawford , G E , Crowley , C A , Dashti , H S , Davies , G , Deary , I J , Degenhardt , F , Derks , E M , DIrek , N , Dolan , C V , Dunn , E C , Eley , T C , Eriksson , N , Hottenga , J J , Jansen , R , Mbarek , H , Middeldorp , C M , Milaneschi , Y , Nivard , M G , Posthuma , D , Smit , J H , Willemsen , G , Boomsma , D I & Penninx , B W J H 2018 , ' Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression ' , Nature Genetics , vol. 50 , no. 5 , pp. 668-681 . https://doi.org/10.1038/s41588-018-0090-3
Schlagwörter: Journal Article / /dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_ / name=Netherlands Twin Register (NTR) / /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being / name=SDG 3 - Good Health and Well-being
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29211682
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://research.vu.nl/en/publications/622c22a4-86de-4ad8-a6de-69e83c983e4c

Major depressive disorder (MDD) is a common illness accompanied by considerable morbidity, mortality, costs, and heightened risk of suicide. We conducted a genome-wide association meta-analysis based in 135,458 cases and 344,901 controls and identified 44 independent and significant loci. The genetic findings were associated with clinical features of major depression and implicated brain regions exhibiting anatomical differences in cases. Targets of antidepressant medications and genes involved in gene splicing were enriched for smaller association signal. We found important relationships of genetic risk for major depression with educational attainment, body mass, and schizophrenia: lower educational attainment and higher body mass were putatively causal, whereas major depression and schizophrenia reflected a partly shared biological etiology. All humans carry lesser or greater numbers of genetic risk factors for major depression. These findings help refine the basis of major depression and imply that a continuous measure of risk underlies the clinical phenotype.