IB Hickie declares the following potential conflicts of interest: Director of Headspace, National Youth Mental Health Foundation Ltd.; Member, Mental Health Expert working group, Department of Health and Ageing, Australian Federal Government. Member of Bupa Australia Medical Advisory Panel; Educational and Research programs/grants that are supported by Pharmaceutical Industry: Servier, Pfizer, Astrazeneca, Eli Lilly.
A genome-wide association study of sleep habits and insomnia
Version of Record online: 31 MAY 2013
Copyright © 2013 Wiley Periodicals, Inc.
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics
Volume 162, Issue 5, pages 439–451, July 2013
How to Cite
2013. A Genome-Wide Association Study of Sleep Habits and Insomnia. Am J Med Genet Part B 162B:439–451., , , , , , , , , , , The Chronogen Consortium.
Consortium contributors listed in the Supplementary Material.
- Issue online: 18 JUN 2013
- Version of Record online: 31 MAY 2013
- Manuscript Accepted: 11 APR 2013
- Manuscript Received: 27 JUN 2012
- Pharmaceutical Industry Servier, Pfizer, Astrazeneca, Eli Lilly (Educational and Research programs)
- EMB NHMRC 613608
- Australian National Health Medical Research Council. Grant Numbers: 241944, 339462, 389927, 389875, 389891, 389892, 389938, 442915, 442981, 496739, 552485, 552498, 613608
- Australian Research Council. Grant Numbers: A7960034, A79906588, A79801419, DP0770096, DP0212016, DP0343921
- FP-5 GenomEUtwin Project. Grant Number: QLG2-CT-2002-01254
- US National Institutes of Health. Grant Numbers: NIH AA07535, AA10248, AA13320, AA13321, AA13326, AA14041, MH66206
- Genetic Cluster Computer, Netherlands Scientific Organization. Grant Number: NWO 480-05-003
- National Health and Medical Research Council (NHMRC) Fellowship Scheme
Additional supporting information may be found in the online version of this article at the publisher's web-site.
Figure S1. Venn diagram showing the breakdown of the sample by Illumina genotyping platform.
Table S1. Correlation between the six variables analysed. All correlations were significant with P < 0.01.
Table S2. Power to detect variants with sample size used in present study explaining different proportions of the phenotypic variance in a phenotype with total heritability of 30%. Calculations assume that causal variant is directly genotyped or is tagged by a SNP in complete LD and with the same minor allele frequency.
Table S3. Results from ingenuity pathway analysis of sleep traits showing the number of genes with P < 0.05 from gene-based test and top functions and pathways.
Table S4. SNPs in or near candidate genes for sleep/wake regulation with P < 0.001.
Table S5. SNPs listed as most strongly associated from Gottlieb et al that show nominal association with sleep traits analysed out of 34 SNPs genotyped or imputed in present sample.
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