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Hek, K.* ; Demirkan, A.* ; Lahti, J.* ; Terracciano, A.* ; Teumer, A.* ; Cornelis, M.C.* ; Amin, N.* ; Bakshis, E.* ; Baumert, J.J. ; Ding, J.Z.* ; Liu, Y.M.* ; Marciante, K.* ; Meirelles, O.* ; Nalls, M.A.* ; Sun, Y.V.* ; Vogelzangs, N.* ; Yu, L.* ; Bandinelli, S.* ; Benjamin, E.J.* ; Bennett, D.A.* ; Boomsma, D.* ; Cannas, A.* ; Coker, L.H.* ; de Geus, E.* ; de Jager, P.L.* ; Diez-Roux, A.V.* ; Purcell, S.* ; Hu, F.B.* ; Rimm, E.B.* ; Hunter, D.J.* ; Jensen, M.K.* ; Curhan, G.* ; Rice, K.* ; Penman, A.D.* ; Rotter, J.I.* ; Sotoodehnia, N.* ; Emeny, R.T. ; Eriksson, J.G.* ; Evans, D.A.* ; Ferrucci, L.* ; Fornage, M.* ; Gudnason, V.* ; Hofman, A.* ; Illig, T. ; Kardia, S.* ; Kelly-Hayes, M.* ; Koenen, K.* ; Kraft, P.* ; Kuningas, M.* ; Massaro, J.M.* ; Melzer, D.* ; Mulas, A.* ; Mulder, C.L.* ; Murray, A.* ; Oostra, B.A.* ; Palotie, A.* ; Penninx, B.* ; Petersmann, A.* ; Pilling, L.C.* ; Psaty, B.* ; Rawal, R. ; Reiman, E.M.* ; Schulz, A.* ; Shulman, J.M.* ; Singleton, A.B.* ; Smith, A.V.* ; Sutin, A.R.* ; Uitterlinden, A.G.* ; Völzke, H.* ; Widen, E.* ; Yaffe, K.* ; Zonderman, A.B.* ; Cucca, F.* ; Harris, T.* ; Ladwig, K.-H. ; Llewellyn, D.J.* ; Räikkönen, K.* ; Tanaka, T.* ; van Duijn, C.M.* ; Grabe, H.J.* ; Launer, L.J.* ; Lunetta, K.L.* ; Mosley, T.H.* ; Newman, A.B.* ; Tiemeier, H.* ; Murabito, J.*

A genome-wide association study of depressive symptoms.

Biol. Psychiatry 73, 667-678 (2013)
DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
Background: Depression is a heritable trait that exists on a continuum of varying severity and duration. Yet, the search for genetic variants associated with depression has had few successes. We exploit the entire continuum of depression to find common variants for depressive symptoms. Methods: In this genome-wide association study, we combined the results of 17 population-based studies assessing depressive symptoms with the Center for Epidemiological Studies Depression Scale. Replication of the independent top hits (p < 1 x 10(-5)) was performed in five studies assessing depressive symptoms with other instruments. In addition, we performed a combined meta-analysis of all 22 discovery and replication studies. Results: The discovery sample comprised 34,549 individuals (mean age of 66.5) and no loci reached genome-wide significance (lowest p = 1.05 x 10(-7)). Seven independent single nucleotide polymorphisms were considered for replication. In the replication set (n = 16,709), we found suggestive association of one single nucleotide polymorphism with depressive symptoms (rs161645, 5q21, p = 9.19 x 10(-3)). This 5q21 region reached genome-wide significance (p = 4.78 x 10(-8)) in the overall meta-analysis combining discovery and replication studies (n = 51,258). Conclusions: The results suggest that only a large sample comprising more than 50,000 subjects may be sufficiently powered to detect genes for depressive symptoms.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Center For Epidemiologic Studies Depression Scale ; Charge Consortium ; Depression ; Depressive Symptoms ; Genetics ; Genome-wide Association Study ; Meta-analysis; Major Depression ; Ces-d ; Atherosclerosis Risk ; Vital Exhaustion ; Life Events ; Population ; Disorder ; Gene ; Metaanalysis ; Linkage
ISSN (print) / ISBN 0006-3223
e-ISSN 1873-2402
Journal Biological Psychiatry
Quellenangaben Volume: 73, Issue: 7, Pages: 667-678 Article Number: , Supplement: ,
Publisher Elsevier
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Epidemiology II (EPI2)
Research Unit Molecular Epidemiology (AME)
Institute of Genetic Epidemiology (IGE)