A genome-wide association study of sleep habits and insomnia

Byrne, Enda M., Gehrman, Philip R., Medland, Sarah E., Nyholt, Dale R., Heath, Andrew C., Madden, Pamela A. F., Hickie, Ian B., Van Duijn, Cornelia M., Henders, Anjali K., Montgomery, Grant W., Martin, Nicholas G., Wray, Naomi R. and The Chronogen Consortium (2013) A genome-wide association study of sleep habits and insomnia. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 162 5: 439-451. doi:10.1002/ajmg.b.32168

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Author Byrne, Enda M.
Gehrman, Philip R.
Medland, Sarah E.
Nyholt, Dale R.
Heath, Andrew C.
Madden, Pamela A. F.
Hickie, Ian B.
Van Duijn, Cornelia M.
Henders, Anjali K.
Montgomery, Grant W.
Martin, Nicholas G.
Wray, Naomi R.
The Chronogen Consortium
Total Author Count Override 13
Title A genome-wide association study of sleep habits and insomnia
Journal name American Journal of Medical Genetics Part B: Neuropsychiatric Genetics   Check publisher's open access policy
ISSN 1552-4841
Publication date 2013-05-31
Year available 2013
Sub-type Article (original research)
DOI 10.1002/ajmg.b.32168
Open Access Status File (Author Post-print)
Volume 162
Issue 5
Start page 439
End page 451
Total pages 13
Place of publication Hoboken, NJ, United States
Publisher John Wiley & Sons
Collection year 2014
Language eng
Abstract Several aspects of sleep behavior such as timing, duration and quality have been demonstrated to be heritable. To identify common variants that influence sleep traits in the population, we conducted a genome-wide association study of six sleep phenotypes assessed by questionnaire in a sample of 2,323 individuals from the Australian Twin Registry. Genotyping was performed on the Illumina 317, 370, and 610K arrays and the SNPs in common between platforms were used to impute non-genotyped SNPs. We tested for association with more than 2,000,000 common polymorphisms across the genome. While no SNPs reached the genome-wide significance threshold, we identified a number of associations in plausible candidate genes. Most notably, a group of SNPs in the third intron of the CACNA1C gene ranked as most significant in the analysis of sleep latency (P=1.3×10-6). We attempted to replicate this association in an independent sample from the Chronogen Consortium (n=2,034), but found no evidence of association (P=0.73). We have identified several other suggestive associations that await replication in an independent sample. We did not replicate the results from previous genome-wide analyses of self-reported sleep phenotypes after correction for multiple testing.
Keyword Circadian
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Article first published online: 31 May 2013.

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2014 Collection
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Citation counts: TR Web of Science Citation Count  Cited 24 times in Thomson Reuters Web of Science Article | Citations
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Created: Fri, 02 Aug 2013, 15:21:43 EST by Debra McMurtrie on behalf of Queensland Brain Institute