Queensland Institute of Medical Research, Brisbane, Australia.
Sleep. 2012 Jul 1;35(7):967-75. doi: 10.5665/sleep.1962.
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.
A hypothesis-free, genome-wide association study.
Community-based sample of Australian twins from the Australian Twin Registry.
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.
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.
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.
确定易导致咖啡因诱导性失眠的常见遗传变异,并检验咖啡因作用下表达发生改变的基因是否与咖啡因诱导性失眠存在关联。
无假设的全基因组关联研究。
澳大利亚双胞胎登记处的澳大利亚社区双胞胎样本。
在去除表示不喝咖啡的个体后,澳大利亚双胞胎登记处的 1470 个家庭中的 2402 名个体提供了表型和基因型信息。
采用二分类量表,依据参与者是否报告曾经历或从未经历过咖啡因诱导性失眠。分析中还纳入了一个基于多项关于正常睡眠习惯问题的应答得分的因子分数作为协变量。超过 200 万个常见的单核苷酸多态性(SNP)被用于检测与咖啡因诱导性失眠的关联。没有 SNP 达到全基因组显著阈值。在未将失眠因子分数作为协变量纳入的分析中,最显著的 SNP 是 PRIMA1 基因内含子中的 SNP(P = 1.4×10⁻⁶,优势比=0.68[0.53-0.89])。纳入模型后,染色体 1 上 GBP4 基因附近的一个基因间 SNP 最为显著(P = 1.9×10⁻⁶,优势比=0.70[0.62-0.78])。先前在 ADORA2A 基因中的一个多态性与失眠的关联得到了复制。
在该研究中,已经确定了几个可能影响咖啡因诱导性失眠的基因。这些基因需要在另一个样本中进行验证。这些结果可能对理解失眠的生物学机制具有重要意义。