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.
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.
Authors: D Penetar; U McCann; D Thorne; G Kamimori; C Galinski; H Sing; M Thomas; G Belenky Journal: Psychopharmacology (Berl) Date: 1993 Impact factor: 4.530
Authors: Alan G Wade; Ian Ford; Gordon Crawford; Alex D McMahon; Tali Nir; Moshe Laudon; Nava Zisapel Journal: Curr Med Res Opin Date: 2007-10 Impact factor: 2.580
Authors: N A Wei; Stephanie S Liu; Thomas H Y Leung; Kar F Tam; Xiao Y Liao; Annie N Y Cheung; Karen K L Chan; Hextan Y S Ngan Journal: Mol Cancer Date: 2009-09-03 Impact factor: 27.401
Authors: Hanna M Ollila; Erkki Kronholm; Johannes Kettunen; Kaisa Silander; Markus Perola; Tarja Porkka-Heiskanen; Veikko Salomaa; Tiina Paunio Journal: Diabetologia Date: 2016-02-24 Impact factor: 10.122
Authors: Nanci S Guest; Trisha A VanDusseldorp; Michael T Nelson; Jozo Grgic; Brad J Schoenfeld; Nathaniel D M Jenkins; Shawn M Arent; Jose Antonio; Jeffrey R Stout; Eric T Trexler; Abbie E Smith-Ryan; Erica R Goldstein; Douglas S Kalman; Bill I Campbell Journal: J Int Soc Sports Nutr Date: 2021-01-02 Impact factor: 5.150
Authors: Yu-Hsuan Chuang; Christina M Lill; Pei-Chen Lee; Johnni Hansen; Christina F Lassen; Lars Bertram; Naomi Greene; Janet S Sinsheimer; Beate Ritz Journal: Neuroepidemiology Date: 2016-01-31 Impact factor: 3.282
Authors: David Elmenhorst; Eva-Maria Elmenhorst; Eva Hennecke; Tina Kroll; Andreas Matusch; Daniel Aeschbach; Andreas Bauer Journal: Proc Natl Acad Sci U S A Date: 2017-04-03 Impact factor: 11.205
Authors: Eva-Maria Elmenhorst; David Elmenhorst; Sibylle Benderoth; Tina Kroll; Andreas Bauer; Daniel Aeschbach Journal: Proc Natl Acad Sci U S A Date: 2018-07-16 Impact factor: 11.205