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A genome-wide association study of depressive symptoms.
Biol. Psychiatry 73, 667-678 (2013)
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.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
Scopus
Cited By
Cited By
Altmetric
9.247
2.041
121
139
Anmerkungen
Besondere Publikation
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
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
Sprache
englisch
Veröffentlichungsjahr
2013
HGF-Berichtsjahr
2013
ISSN (print) / ISBN
0006-3223
e-ISSN
1873-2402
Zeitschrift
Biological Psychiatry
Quellenangaben
Band: 73,
Heft: 7,
Seiten: 667-678
Verlag
Elsevier
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Epidemiology (EPI)
Research Unit Molecular Epidemiology (AME)
Institute of Genetic Epidemiology (IGE)
Research Unit Molecular Epidemiology (AME)
Institute of Genetic Epidemiology (IGE)
POF Topic(s)
30202 - Environmental Health
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
Forschungsfeld(er)
Genetics and Epidemiology
PSP-Element(e)
G-504000-003
G-504200-001
G-504100-001
G-504200-001
G-504100-001
PubMed ID
23290196
WOS ID
WOS:000316685400013
Scopus ID
84875211424
Erfassungsdatum
2013-04-26