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., & 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), pp. 439-451.

View at publisher

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 x 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.

Impact and interest:

24 citations in Scopus
Search Google Scholar™
26 citations in Web of Science®

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 91833
Item Type: Journal Article
Refereed: Yes
Keywords: Adult, Australia, Female, *Genome-Wide Association Study, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Registries, Sleep/*genetics, Sleep Initiation and Maintenance Disorders/*genetics, Twin Studies as Topic, Young Adult
DOI: 10.1002/ajmg.b.32168
ISSN: 1552-485X
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Deposited On: 14 Jan 2016 02:56
Last Modified: 18 Jan 2016 01:23

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page