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A Genome-Wide Association Study of Depressive Symptoms
- Hek, Karin;
- Demirkan, Ayse;
- Lahti, Jari;
- Terracciano, Antonio;
- Teumer, Alexander;
- Cornelis, Marilyn C;
- Amin, Najaf;
- Bakshis, Erin;
- Baumert, Jens;
- Ding, Jingzhong;
- Liu, Yongmei;
- Marciante, Kristin;
- Meirelles, Osorio;
- Nalls, Michael A;
- Sun, Yan V;
- Vogelzangs, Nicole;
- Yu, Lei;
- Bandinelli, Stefania;
- Benjamin, Emelia J;
- Bennett, David A;
- Boomsma, Dorret;
- Cannas, Alessandra;
- Coker, Laura H;
- de Geus, Eco;
- De Jager, Philip L;
- Diez-Roux, Ana V;
- Purcell, Shaun;
- Hu, Frank B;
- Rimm, Eric B;
- Hunter, David J;
- Jensen, Majken K;
- Curhan, Gary;
- Rice, Kenneth;
- Penman, Alan D;
- Rotter, Jerome I;
- Sotoodehnia, Nona;
- Emeny, Rebecca;
- Eriksson, Johan G;
- Evans, Denis A;
- Ferrucci, Luigi;
- Fornage, Myriam;
- Gudnason, Vilmundur;
- Hofman, Albert;
- Illig, Thomas;
- Kardia, Sharon;
- Kelly-Hayes, Margaret;
- Koenen, Karestan;
- Kraft, Peter;
- Kuningas, Maris;
- Massaro, Joseph M;
- Melzer, David;
- Mulas, Antonella;
- Mulder, Cornelis L;
- Murray, Anna;
- Oostra, Ben A;
- Palotie, Aarno;
- Penninx, Brenda;
- Petersmann, Astrid;
- Pilling, Luke C;
- Psaty, Bruce;
- Rawal, Rajesh;
- Reiman, Eric M;
- Schulz, Andrea;
- Shulman, Joshua M;
- Singleton, Andrew B;
- Smith, Albert V;
- Sutin, Angelina R;
- Uitterlinden, André G;
- Völzke, Henry;
- Widen, Elisabeth;
- Yaffe, Kristine;
- Zonderman, Alan B;
- Cucca, Francesco;
- Harris, Tamara;
- Ladwig, Karl-Heinz;
- Llewellyn, David J;
- Räikkönen, Katri;
- Tanaka, Toshiko;
- van Duijn, Cornelia M;
- Grabe, Hans J;
- Launer, Lenore J;
- Lunetta, Kathryn L;
- Mosley, Thomas H;
- Newman, Anne B;
- Tiemeier, Henning;
- Murabito, Joanne
- et al.
Published Web Location
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3845085/No data is associated with this publication.
Abstract
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<1×10(-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 = 1.05×10(-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).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.Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.