Literature DB >> 22754043

A genome-wide association study of caffeine-related sleep disturbance: confirmation of a role for a common variant in the adenosine receptor.

Enda M Byrne1, Julie Johnson, Allan F McRae, Dale R Nyholt, Sarah E Medland, Philip R Gehrman, Andrew C Heath, Pamela A F Madden, Grant W Montgomery, Georgia Chenevix-Trench, Nicholas G Martin.   

Abstract

OBJECTIVES: To identify common genetic variants that predispose to caffeine-induced insomnia and to test whether genes whose expression changes in the presence of caffeine are enriched for association with caffeine-induced insomnia.
DESIGN: A hypothesis-free, genome-wide association study.
SETTING: Community-based sample of Australian twins from the Australian Twin Registry. PARTICIPANTS: After removal of individuals who said that they do not drink coffee, a total of 2,402 individuals from 1,470 families in the Australian Twin Registry provided both phenotype and genotype information. MEASUREMENTS AND
RESULTS: A dichotomized scale based on whether participants reported ever or never experiencing caffeine-induced insomnia. A factor score based on responses to a number of questions regarding normal sleep habits was included as a covariate in the analysis. More than 2 million common single nucleotide polymorphisms (SNPs) were tested for association with caffeine-induced insomnia. No SNPs reached the genome-wide significance threshold. In the analysis that did not include the insomnia factor score as a covariate, the most significant SNP identified was an intronic SNP in the PRIMA1 gene (P = 1.4 × 10⁻⁶, odds ratio = 0.68 [0.53 - 0.89]). An intergenic SNP near the GBP4 gene on chromosome 1 was the most significant upon inclusion of the insomnia factor score into the model (P = 1.9 × 10⁻⁶, odds ratio = 0.70 [0.62 - 0.78]). A previously identified association with a polymorphism in the ADORA2A gene was replicated.
CONCLUSIONS: Several genes have been identified in the study as potentially influencing caffeine-induced insomnia. They will require replication in another sample. The results may have implications for understanding the biologic mechanisms underlying insomnia.

Entities:  

Keywords:  Caffeine; genetics; insomnia

Mesh:

Substances:

Year:  2012        PMID: 22754043      PMCID: PMC3369232          DOI: 10.5665/sleep.1962

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   5.849


  39 in total

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