A genome-wide association study of depressive symptoms.

Hek, K; Demirkan, A; Lahti, J; Terracciano, A; Teumer, A; Cornelis, MC; Amin, N; Bakshis, E; Baumert, J; Ding, J; Liu, Y; Marciante, K; Meirelles, O; Nalls, MA; Sun, YV; Vogelzangs, N; Yu, L; Bandinelli, S; Benjamin, EJ; Bennett, DA; Boomsma, D; Cannas, A; Coker, LH; de Geus, E; De Jager, PL; Diez-Roux, AV; Purcell, S; Hu, FB; Rimm, EB; Hunter, DJ; Jensen, MK; Curhan, G; Rice, K; Penman, AD; Rotter, JI; Sotoodehnia, N; Emeny, R; Eriksson, JG; Evans, DA; Ferrucci, L; Fornage, M; Gudnason, V; Hofman, A; Illig, T; Kardia, S; Kelly-Hayes, M; Koenen, K; Kraft, P; Kuningas, M; Massaro, JM; Melzer, D; Mulas, A; Mulder, CL; Murray, A; Oostra, BA; Palotie, A; Penninx, B; Petersmann, A; Pilling, LC; Psaty, B; Rawal, R; Reiman, EM; Schulz, A; Shulman, JM; Singleton, AB; Smith, AV; Sutin, AR; Uitterlinden, AG; Völzke, H; Widen, E; Yaffe, K; Zonderman, AB; Cucca, F; Harris, T; Ladwig, KH; Llewellyn, DJ; Räikkönen, K; Tanaka, T; van Duijn, CM; Grabe, HJ; Launer, LJ; Lunetta, KL; Mosley, TH; Newman, AB; Tiemeier, H; Murabito, J

doi:10.1016/j.biopsych.2012.09.033

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journal article

Title:: A genome-wide association study of depressive symptoms.
Document type:: Journal Article
Author(s):: Hek, K; Demirkan, A; Lahti, J; Terracciano, A; Teumer, A; Cornelis, MC; Amin, N; Bakshis, E; Baumert, J; Ding, J; Liu, Y; Marciante, K; Meirelles, O; Nalls, MA; Sun, YV; Vogelzangs, N; Yu, L; Bandinelli, S; Benjamin, EJ; Bennett, DA; Boomsma, D; Cannas, A; Coker, LH; de Geus, E; De Jager, PL; Diez-Roux, AV; Purcell, S; Hu, FB; Rimm, EB; Hunter, DJ; Jensen, MK; Curhan, G; Rice, K; Penman, AD; Rotter, JI; Sotoodehnia, N; Emeny, R; Eriksson, JG; Evans, DA; Ferrucci, L; Fornage, M; Gudnason, V; Hofman, A; Illig, T; Kardia, S; Kelly-Hayes, M; Koenen, K; Kraft, P; Kuningas, M; Massaro, JM; Melzer, D; Mulas, A; Mulder, CL; Murray, A; Oostra, BA; Palotie, A; Penninx, B; Petersmann, A; Pilling, LC; Psaty, B; Rawal, R; Reiman, EM; Schulz, A; Shulman, JM; Singleton, AB; Smith, AV; Sutin, AR; Uitterlinden, AG; Völzke, H; Widen, E; Yaffe, K; Zonderman, AB; Cucca, F; Harris, T; Ladwig, KH; Llewellyn, DJ; Räikkönen, K; Tanaka, T; van Duijn, CM; Grabe, HJ; Launer, LJ; Lunetta, KL; Mosley, TH; Newman, AB; Tiemeier, H; Murabito, J «
Hek, K; Demirkan, A; Lahti, J; Terracciano, A; Teumer, A; Cornelis, MC; Amin, N; Bakshis, E; Baumert, J; Ding, J; Liu, Y; Marciante, K; Meirelles, O; Nalls, MA; Sun, YV; Vogelzangs, N; Yu, L; Bandinelli, S; Benjamin, EJ; Bennett, DA; Boomsma, D; Cannas, A; Coker, LH; de Geus, E; De Jager, PL; Diez-Roux, AV; Purcell, S; Hu, FB; Rimm, EB; Hunter, DJ; Jensen, MK; Curhan, G; Rice, K; Penman, AD; Rotter, JI; Sotoodehnia, N; Emeny, R; Eriksson, JG; Evans, DA; Ferrucci, L; Fornage, M; Gudnason, V; Hofm... »
Abstract:: 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.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<1×10(-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.The discovery sample comprised 34,549 individuals (mean age of 66.5) and no loci reached genome-wide significance (lowest p = 1.05×10(-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 = 9.19×10(-3)). This 5q21 region reached genome-wide significance (p = 4.78×10(-8)) in the overall meta-analysis combining discovery and replication studies (n = 51,258).The results suggest that only a large sample comprising more than 50,000 subjects may be sufficiently powered to detect genes for depressive symptoms.
Journal title abbreviation:: Biol Psychiatry
Year:: 2013
Journal volume:: 73
Journal issue:: 7
Pages contribution:: 667-78
Language:: eng
Fulltext / DOI:: doi:10.1016/j.biopsych.2012.09.033
Pubmed ID:: http://view.ncbi.nlm.nih.gov/pubmed/23290196
Print-ISSN:: 0006-3223
TUM Institution:: Klinik und Poliklinik für Psychosomatische Medizin und Psychotherapie
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mediaTUM Gesamtbestand Einrichtungen Schools TUM School of Medicine and Health Departments Clinical Medicine Klinik und Poliklinik für Psychosomatische Medizin und Psychotherapie (Prof. Henningsen)2013