Genome-wide association analysis of actigraphic sleep phenotypes in the LIFE Adult Study

Journal of Sleep Research

Volumn 25, Issue 6, 2016, Pages 690-701

  Spada, Janek ^a,b   Scholz, Markus ^a   Kirsten, Holger ^a   Hensch, Tilman ^a   Horn, Katrin ^a   Jawinski, Philippe ^a,b   Ulke, Christine ^a,b   Burkhardt, Ralph ^a,c   Wirkner, Kerstin ^a   Loeffler, Markus ^a   Hegerl, Ulrich ^a,b   Sander, Christian ^a,b  

^a UNIVERSITY OF LEIPZIG   (Germany)

^b German Depression Foundation   (Germany)

^c UNIVERSITY HOSPITAL LEIPZIG   (Germany)

Author keywords

affective disorders; genetics; napping; night sleep; sleep duration

Indexed keywords

CSNK2A1 PROTEIN; GENOMIC DNA; PROTEIN; UNCLASSIFIED DRUG; CASEIN KINASE 2, ALPHA, HUMAN; CASEIN KINASE II; UBIQUITIN PROTEIN LIGASE; UFL1 PROTEIN, HUMAN;

ACTIMETRY; ADULT; AGED; ARTICLE; CIRCADIAN RHYTHM; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; CSNK2A1 GENE; DAYTIME SOMNOLENCE; FEMALE; GENE; GENETIC ASSOCIATION; GENETIC VARIABILITY; GENOME-WIDE ASSOCIATION STUDY; HUMAN; MAJOR CLINICAL STUDY; MALE; PHENOTYPE; PRIORITY JOURNAL; QUALITY CONTROL; SINGLE NUCLEOTIDE POLYMORPHISM; SLEEP; SLEEP QUALITY; SUPINE POSITION; GENETICS; MIDDLE AGED; PHYSIOLOGY; REST; SELF REPORT;

ACTIGRAPHY; ADULT; AGED; CASEIN KINASE II; CIRCADIAN RHYTHM; FEMALE; GENOME-WIDE ASSOCIATION STUDY; HUMANS; MALE; MIDDLE AGED; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; REST; SELF REPORT; SLEEP; UBIQUITIN-PROTEIN LIGASES;

EID: 84973158810     PISSN: 09621105     EISSN: 13652869     Source Type: Journal    
DOI: 10.1111/jsr.12421     Document Type: Article

References (57)

1. Afonso, P., Figueira, M. L. and Paiva, T. Sleep–wake patterns in schizophrenia patients compared to healthy controls. World J. Biol. Psychiatry, 2014, 15: 517–524.
2. Aho, V., Ollila, H. M., Rantanen, V. et al. Partial sleep restriction activates immune response-related gene expression pathways: experimental and epidemiological studies in humans. PLoS ONE, 2013, 8: e77184.
3. Allebrandt, K. V., Amin, N., Muller-Myhsok, B. et al. A K(ATP) channel gene effect on sleep duration: from genome-wide association studies to function in Drosophila. Mol. Psychiatry, 2013, 18: 122–132.
4. Alsaadi, S. M., McAuley, J. H., Hush, J. M. et al. Assessing sleep disturbance in low back pain: the validity of portable instruments. PLoS ONE, 2014, 9: e95824.
5. Binder, E. B., Kinkead, B., Owens, M. J. and Nemeroff, C. B. Neurotensin and dopamine interactions. Pharmacol. Rev., 2001, 53: 453–486.
6. Boules, M. M., Fredrickson, P., Muehlmann, A. M. and Richelson, E. Elucidating the role of neurotensin in the pathophysiology and management of major mental disorders. Behav. Sci. (Basel), 2014, 4: 125–153.
7. Briscoe, S., Hardy, E., Pengo, M. F. et al. Comparison of 7 versus 14 days wrist actigraphy monitoring in a sleep disorders clinic population. Chronobiol. Int., 2014, 31: 356–362.
8. Brown, R. E., Basheer, R., McKenna, J. T., Strecker, R. E. and McCarley, R. W. Control of sleep and wakefulness. Physiol. Rev., 2012, 92: 1087–1187.
9. Byrne, E. M., Gehrman, P. R., Medland, S. E. et al. A genome-wide association study of sleep habits and insomnia. Am. J. Med. Genet. B Neuropsychiatr. Genet., 2013, 162B: 439–451.
10. Cade, B. E., Gottlieb, D. J., Lauderdale, D. S. et al. Common variants in DRD2 are associated with sleep duration: the CARe consortium. Hum. Mol. Genet., 2016, 25: 167–179.
11. Cape, E. G., Manns, I. D., Alonso, A., Beaudet, A. and Jones, B. E. Neurotensin-induced bursting of cholinergic basal forebrain neurons promotes gamma and theta cortical activity together with waking and paradoxical sleep. J. Neurosci., 2000, 20: 8452–8461.
12. Casiraghi, F., Lertwattanarak, R., Luzi, L. et al. Energy expenditure evaluation in humans and non-human primates by SenseWear Armband. Validation of energy expenditure evaluation by SenseWear Armband by direct comparison with indirect calorimetry. PLoS ONE, 2013, 8: e73651.
13. Cipriano, R., Miskimen, K. L. S., Bryson, B. L., Foy, C. R., Bartel, C. A. and Jackson, M. W. FAM83B-mediated activation of PI3K/AKT and MAPK signaling cooperates to promote epithelial cell transformation and resistance to targeted therapies. Oncotarget, 2013, 4: 729–738.
14. Evans, D. S., Parimi, N., Nievergelt, C. M. et al. Common genetic variants in ARNTL and NPAS2 and at chromosome 12p13 are associated with objectively measured sleep traits in the elderly. Sleep, 2013, 36: 431–446.
15. Fitzpatrick, K., Winrow, C. J., Gotter, A. L. et al. Altered sleep and affect in the neurotensin receptor 1 knockout mouse. Sleep, 2012, 35: 949–956.
16. Germain, A., Buysse, D. J. and Kupfer, D. J. Preliminary Validation of a New Device for Studying Sleep. Abstract presented at ‘SLEEP 2006’—20th Anniversary Meeting of the AOSS, Salt Lake City, UT, 2006.
17. Gottlieb, D. J., O'Connor, G. T. and Wilk, J. B. Genome-wide association of sleep and circadian phenotypes. BMC Med. Genet., 2007, 8(Suppl. 1): S9.
18. Gottlieb, D. J., Hek, K., Chen, T. H. et al. Novel loci associated with usual sleep duration: the CHARGE Consortium Genome-Wide Association Study. Mol. Psychiatry, 2015, 20: 1232–1239.
19. Haliburton, G. D. E., McKinsey, G. L. and Pollard, K. S. Disruptions in a cluster of computationally identified enhancers near FOXC1 and GMDS may influence brain development. Neurogenetics, 2016, 17: 1–9.
20. Hegerl, U. and Hensch, T. The vigilance regulation model of affective disorders and ADHD. Neurosci. Biobehav. Rev., 2014, 44: 45–57.
21. Hong, C. S., Park, B. Y. and Saint-Jeannet, J. P. The function of DMRT genes in vertebrate development: it is not just about sex. Dev. Biol., 2007, 310: 1–9.
22. Johannsen, D. L., Calabro, M. A., Stewart, J., Franke, W., Rood, J. C. and Welk, G. J. Accuracy of armband monitors for measuring daily energy expenditure in healthy adults. Med. Sci. Sports Exerc., 2010, 42: 2134–2140.
23. Kirsten, H., Al-Hasani, H., Holdt, L. et al. Dissecting the genetics of the human transcriptome identifies novel trait-related trans-eQTLs and corroborates the regulatory relevance of non-protein coding locidagger. Hum. Mol. Genet., 2015, 24: 4746–4763.
24. Kripke, D. F., Kline, L. E., Nievergelt, C. M. et al. Genetic variants associated with sleep disorders. Sleep Med., 2015, 16: 217–224.
25. Lee, K. A., Gay, C., Pullinger, C. R., Hennessy, M. D., Zak, R. S. and Aouizerat, B. E. Cytokine polymorphisms are associated with poor sleep maintenance in adults living with human immunodeficiency virus/acquired immunodeficiency syndrome. Sleep, 2014, 37: 453–463.
26. Lee, K. A., Gay, C., Byun, E., Lerdal, A., Pullinger, C. R. and Aouizerat, B. E. Circadian regulation gene polymorphisms are associated with sleep disruption and duration, and circadian phase and rhythm in adults with HIV. Chronobiol. Int., 2015, 32: 1278–1293.
27. Levenson, J. C., Troxel, W. M., Begley, A. et al. A quantitative approach to distinguishing older adults with insomnia from good sleeper controls. J. Clin. Sleep Med., 2013, 9: 125–131.
28. Li, D., Niu, Z., Yu, W. et al. SMYD1, the myogenic activator, is a direct target of serum response factor and myogenin. Nucleic Acids Res., 2009, 37: 7059–7071.
29. Lim, A. S. P., Chang, A. M., Shulman, J. M. et al. A common polymorphism near PER1 and the timing of human behavioral rhythms. Ann. Neurol., 2012, 72: 324–334.
30. Lindenberger, U., Nagel, I. E., Chicherio, C., Li, S. C., Heekeren, H. R. and Backman, L. Age-related decline in brain resources modulates genetic effects on cognitive functioning. Front. Neurosci., 2008, 2: 234–244.
31. Littner, M., Kushida, C. A., Anderson, W. M. et al. Practice parameters for the role of actigraphy in the study of sleep and circadian rhythms: an update for 2002. Sleep, 2003, 26: 337–341.
32. Loeffler, M., Engel, C., Ahnert, P. et al. The LIFE-Adult-Study: objectives and design of a population-based cohort study with 10,000 deeply phenotyped adults in Germany. BMC Public Health, 2015, 15: 691.
33. Luyster, F. S., Strollo, P. J. Jr, Zee, P. C. and Walsh, J. K. Sleep: a health imperative. Sleep, 2012, 35: 727–734.
34. Madden, K. M., Ashe, M. C., Lockhart, C. and Chase, J. M. Sedentary behavior and sleep efficiency in active community-dwelling older adults. Sleep Sci., 2014, 7: 82–88.
35. O'Driscoll, D. M., Turton, A. R., Copland, J. M., Strauss, B. J. and Hamilton, G. S. Energy expenditure in obstructive sleep apnea: validation of a multiple physiological sensor for determination of sleep and wake. Sleep Breath., 2013, 17: 139–146.
36. Ollila, H. M., Kettunen, J., Pietilainen, O. et al. Genome-wide association study of sleep duration in the Finnish population. J. Sleep Res., 2014, 23: 609–618.
37. Paquet, J., Kawinska, A. and Carrier, J. Wake detection capacity of actigraphy during sleep. Sleep, 2007, 30: 1362–1369.
38. Peterson, B. T., Chiao, P., Pickering, E. et al. Comparison of actigraphy and polysomnography to assess effects of zolpidem in a clinical research unit. Sleep Med., 2012, 13: 419–424.
39. Reischl, S. and Kramer, A. Kinases and phosphatases in the mammalian circadian clock. FEBS Lett., 2011, 585: 1393–1399.
40. Rolland, T., Tasan, M., Charloteaux, B. et al. A proteome-scale map of the human interactome network. Cell, 2014, 159: 1212–1226.
41. Rubio, M. D., Wood, K., Haroutunian, V. and Meador-Woodruff, J. H. Dysfunction of the ubiquitin proteasome and ubiquitin-like systems in schizophrenia. Neuropsychopharmacology, 2013, 38: 1910–1920.
42. Scofield, H., Roth, T. and Drake, C. Periodic limb movements during sleep: population prevalence, clinical correlates, and racial differences. Sleep, 2008, 31: 1221–1227.
43. Sehgal, A. and Mignot, E. Genetics of sleep and sleep disorders. Cell, 2011, 146: 194–207.
44. Sharif, M. M. and Bahammam, A. S. Sleep estimation using BodyMedia's SenseWear armband in patients with obstructive sleep apnea. Ann. Thorac. Med., 2013, 8: 53–57.
45. Shin, M., Swan, P. and Chow, C. M. The validity of Actiwatch2 and SenseWear armband compared against polysomnography at different ambient temperature conditions. Sleep Sci., 2015, 8: 9–15.
46. Spada, J., Sander, C., Burkhardt, R. et al. Genetic association of objective sleep phenotypes with a functional polymorphism in the neuropeptide S receptor gene. PLoS ONE, 2014, 9: e98789.
47. St-Denis, N. A. and Litchfield, D. W. Protein kinase CK2 in health and disease: from birth to death: the role of protein kinase CK2 in the regulation of cell proliferation and survival. Cell. Mol. Life Sci., 2009, 66: 1817–1829.
48. Sunseri, M., Liden, C. B., Farringdon, J., Pelletier, R., Safier, S., Stivoric, J. et al. The Sensewear Armband as a sleep detection device. BodyMedia internal white paper. 2009.
49. Van Den Berg, J. F., Van Rooij, F. J. A., Vos, H. et al. Disagreement between subjective and actigraphic measures of sleep duration in a population-based study of elderly persons. J. Sleep Res., 2008, 17: 295–302.
50. Van Wouwe, N. C., Valk, P. J. L. and Veenstra, B. J. Sleep monitoring: a comparison between three wearable instruments. Mil. Med., 2011, 176: 811–816.
51. Verkoczy, L. K., Guinn, B. A. and Berinstein, N. L. Characterization of the human B cell RAG-associated gene, hBRAG, as a B cell receptor signal-enhancing glycoprotein dimer that associates with phosphorylated proteins in resting B cells. J. Biol. Chem., 2000, 275: 20967–20979.
52. Vink, J. M., Groot, A. S., Kerkhof, G. A. and Boomsma, D. I. Genetic analysis of morningness and eveningness. Chronobiol. Int., 2001, 18: 809–822.
53. Von Schantz, M. Phenotypic effects of genetic variability in human clock genes on circadian and sleep parameters. J. Genet., 2008, 87: 513–519.
54. Wang, M. Y., Hung, H. L. and Tsai, P. S. The sleep log and actigraphy: congruency of measurement results for heart failure patients. J. Nurs. Res., 2011, 19: 173–180.
55. Welk, G. J., McClain, J. J., Eisenmann, J. C. and Wickel, E. E. Field validation of the MTI Actigraph and BodyMedia armband monitor using the IDEEA monitor. Obesity (Silver Spring), 2007, 15: 918–928.
56. Wlodarek, D., Glabska, D. and Rojek-Trebicka, J. Physical activity of predialysis patients with chronic kidney disease measured using SenseWear Armband. J. Sports Med. Phys. Fitness, 2011, 51: 639–646.
57. Xia, K., Shabalin, A. A., Huang, S. et al. seeQTL: a searchable database for human eQTLs. Bioinformatics, 2012, 28: 451–452.