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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao American Journal of ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
American Journal of Medical Genetics Part B Neuropsychiatric Genetics
Article . 2010 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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A population‐based association study of candidate genes for depression and sleep disturbance

Authors: Siddheshwar, Utge; Pia, Soronen; Timo, Partonen; Anu, Loukola; Erkki, Kronholm; Sami, Pirkola; Emma, Nyman; +2 Authors

A population‐based association study of candidate genes for depression and sleep disturbance

Abstract

AbstractThe clinical manifestation of depression comprises a variety of symptoms, including early morning awakenings and fatigue, features also indicating disturbed sleep. The presence or absence of these symptoms may reflect differences in neurobiological processes leading to prolonged depression. Several neurobiological mechanisms have been indicated in the induction of depression, including disturbances in serotonergic and glutamatergic neurotransmission and in the action of the hypothalamic–pituitary–adrenal (HPA) axis. The same transmitters have also been linked to sleep regulation. We hypothesized that depression without simultaneous symptoms of disturbed sleep would partly have a different genetic background than depression with symptoms of disturbed sleep. We tested this hypothesis using a systematic population‐based association study of 14 candidate genes related to depression and disturbed sleep. Association of genetic variants with either depression alone, depression with early morning awakenings, or depression with fatigue was investigated using permutation‐based allelic association analysis of a sample of 1,654 adults recruited from Finland's population‐based program. The major findings were associations of TPH2 (rs12229394) with depression accompanied by fatigue in women and CREB1 (rs11904814) with depression alone in men. We also found suggestive associations in women for GAD1, GRIA3, and BDNF with depression accompanied by fatigue, and for CRHR1 with depression accompanied by early morning awakenings. The results indicate sex‐dependent and symptom‐specific differences in the genetic background of depression. These differences may partially explain the broad spectrum of depressive symptoms, and their systematic monitoring could potentially be used for diagnostic purposes. © 2009 Wiley‐Liss, Inc.

Keywords

Adult, Male, Sleep Wake Disorders, Hypothalamo-Hypophyseal System, Neuronal Plasticity, Genotype, Depression, Genetic Variation, Middle Aged, Tryptophan Hydroxylase, Sex Factors, Humans, Female, Genetic Predisposition to Disease, Cyclic AMP Response Element-Binding Protein, Alleles, Finland

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
61
Top 10%
Top 10%
Top 10%