Literature DB >> 20149345

CLOCK gene variants associate with sleep duration in two independent populations.

Karla V Allebrandt1, Maris Teder-Laving, Mahmut Akyol, Irene Pichler, Bertram Müller-Myhsok, Peter Pramstaller, Martha Merrow, Thomas Meitinger, Andreas Metspalu, Till Roenneberg.   

Abstract

BACKGROUND: Sleep is an active and complex behavior, yet it has two straightforward properties-timing and duration. Clock genes are associated with dysfunctional timing of sleep, mood, and obesity disorders, which are commonly associated with sleep duration.
METHODS: Sleep duration was assessed in Central Europe, Estonia, and South Tyrol (n approximately 77,000) with the Munich ChronoType Questionnaire. It showed a Gaussian distribution in all investigated populations after averaging over a standard workweek and normalization according to age and gender. A follow-up, two-stage design, linkage disequilibrium-based association study was conducted with subjects from South Tyrol (discovery sample; n = 283) and with short (< 7 hours) and long (> 8.5 hours) sleepers from Estonia (confirmation sample; n = 1011). One hundred ninety-four single nucleotide polymorphism markers covering 19 candidate clock genes were genotyped in the discovery sample, and two of the best association signals (analyzed by a linear regression model) were investigated in the confirmation sample.
RESULTS: Single and multi-marker associations were found within a CLOCK gene intronic region (rs12649507 and rs11932595). In a meta-analysis between South Tyrol and Estonia association signals, rs12649507 (p = .0087) remained significant. Significance persisted only for the multiple-marker association signal of the rs12649507/rs11932595 haplotype GGAA with long sleep (p = .0015).
CONCLUSIONS: We report an association between variants of the human CLOCK gene and sleep duration in two independent populations. This adds another putative function for CLOCK besides its possible involvement in circadian timing, depression, obesity, and personality. Copyright 2010 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20149345     DOI: 10.1016/j.biopsych.2009.12.026

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  37 in total

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