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Leocadio-Miguel MA, Ruiz FS, Ahmed SS, Taporoski TP, Horimoto ARVR, Beijamini F, Pedrazzoli M, Knutson KL, Pereira AC, von Schantz M. Compared Heritability of Chronotype Instruments in a Single Population Sample. J Biol Rhythms 2021; 36:483-490. [PMID: 34313481 PMCID: PMC8442136 DOI: 10.1177/07487304211030420] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
It is well established that the oldest chronotype questionnaire, the
morningness-eveningness questionnaire (MEQ), has significant
heritability, and several associations have been reported between MEQ
score and polymorphisms in candidate clock genes, a number of them
reproducibly across populations. By contrast, there are no reports of
heritability and genetic associations for the Munich chronotype
questionnaire (MCTQ). Recent genome-wide association studies (GWAS)
from large cohorts have reported multiple associations with chronotype
as assessed by a single self-evaluation question. We have taken
advantage of the availability of data from all these instruments from
a single sample of 597 participants from the Brazilian Baependi Heart
Study. The family-based design of the cohort allowed us to calculate
the heritability (h2) for these measures. Heritability
values for the best-fitted models were 0.37 for MEQ, 0.32 for MCTQ,
and 0.28 for single-question chronotype (MEQ Question 19). We also
calculated the heritability for the two major factors recently derived
from MEQ, “Dissipation of sleep pressure” (0.32) and “Build-up of
sleep pressure” (0.28). This first heritability comparison of the
major chronotype instruments in current use provides the first
quantification of the genetic component of MCTQ score, supporting its
future use in genetic analysis. Our findings also suggest that the
single chronotype question that has been used for large GWAS analyses
captures a larger proportion of the dimensions of chronotype than
previously thought.
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Affiliation(s)
- Mario A Leocadio-Miguel
- Department of Physiology and Behavior, Federal University of Rio Grande do Norte, Natal, Brazil.,Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
| | - Francieli S Ruiz
- Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK.,InCor, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Sabrina S Ahmed
- Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
| | - Tâmara P Taporoski
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Andréa R V R Horimoto
- InCor, University of São Paulo School of Medicine, São Paulo, Brazil.,Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington, USA
| | | | - Mario Pedrazzoli
- School of Arts, Sciences, and Humanities, University of São Paulo, São Paulo, Brazil
| | - Kristen L Knutson
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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2
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Genetics of Circadian and Sleep Measures in Adults: Implications for Sleep Medicine. CURRENT SLEEP MEDICINE REPORTS 2020. [DOI: 10.1007/s40675-020-00165-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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3
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Tan X, Chapman CD, Cedernaes J, Benedict C. Association between long sleep duration and increased risk of obesity and type 2 diabetes: A review of possible mechanisms. Sleep Med Rev 2017; 40:127-134. [PMID: 29233612 DOI: 10.1016/j.smrv.2017.11.001] [Citation(s) in RCA: 100] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Revised: 11/07/2017] [Accepted: 11/13/2017] [Indexed: 12/19/2022]
Abstract
For the last two decades research has revealed an alarming association between short sleep duration and metabolic disorders. In tandem, the hormonal, behavioral, and genetic mechanisms underlying this relationship have been extensively investigated and reviewed. However, emerging evidence is revealing that excessive sleep duration has remarkably similar deleterious effects. Unfortunately, to date there has been little attention to what drives this connection. This narrative review therefore aims to summarize existing epidemiological findings, experimental work, and most importantly putative molecular and behavioral mechanisms connecting excessive sleep duration with both obesity and type 2 diabetes mellitus. It will also address recent findings suggesting a worrisome bidirectional effect such that metabolic disorders create a positive feedback loop which further perpetuates excessive sleep.
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Affiliation(s)
- Xiao Tan
- Department of Neuroscience, Uppsala University, SE-751 24 Uppsala, Sweden.
| | - Colin D Chapman
- Department of Neuroscience, Uppsala University, SE-751 24 Uppsala, Sweden
| | - Jonathan Cedernaes
- Department of Neuroscience, Uppsala University, SE-751 24 Uppsala, Sweden
| | - Christian Benedict
- Department of Neuroscience, Uppsala University, SE-751 24 Uppsala, Sweden.
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4
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Abstract
The circadian clock interacts with the sleep homeostatic drive in humans. Chronotype and sleep parameters show substantial heritability, underscoring a genetic component to these measures. This article reviews the genetic underpinnings of chronotype and of sleep, including sleepiness, sleep quality and latency, and sleep timing and duration in healthy adult sleepers, drawing on candidate gene and genome-wide association studies. Notably, both circadian and noncircadian genes associate with individual differences in chronotype and in sleep parameters. The article concludes with a brief discussion of future research directions.
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Affiliation(s)
- Namni Goel
- Division of Sleep and Chronobiology, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 1017 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104-6021, USA.
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5
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Lane JM, Tare A, Cade BE, Chen TH, Punjabi NM, Gottlieb DJ, Scheer FA, Redline S, Saxena R. Common variants in CLOCK are not associated with measures of sleep duration in people of european ancestry from the sleep heart health study. Biol Psychiatry 2013; 74:e33-5. [PMID: 23871470 PMCID: PMC4157567 DOI: 10.1016/j.biopsych.2013.06.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2013] [Revised: 05/30/2013] [Accepted: 06/05/2013] [Indexed: 02/02/2023]
Affiliation(s)
- Jacqueline M. Lane
- Center for Human Genetic Research and Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA,Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
| | - Archana Tare
- Center for Human Genetic Research and Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA,Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
| | - Brian E. Cade
- Division of Sleep Medicine, Brigham and Women’s Hospital and Harvard Medical School Boston, MA
| | - Ting-hsu Chen
- Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA,VA Boston Healthcare System, Boston, MA
| | - Naresh M. Punjabi
- Division of Pulmonary and Critical Medicine, Johns Hopkins University, Baltimore, MD
| | - Daniel J. Gottlieb
- Division of Sleep Medicine, Brigham and Women’s Hospital and Harvard Medical School Boston, MA,VA Boston Healthcare System, Boston, MA
| | - Frank A.J.L. Scheer
- Division of Sleep Medicine, Brigham and Women’s Hospital and Harvard Medical School Boston, MA
| | - Susan Redline
- Division of Sleep Medicine, Brigham and Women’s Hospital and Harvard Medical School Boston, MA
| | - Richa Saxena
- Center for Human Genetic Research and Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA,Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
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6
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Goel N, Basner M, Rao H, Dinges DF. Circadian rhythms, sleep deprivation, and human performance. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2013; 119:155-90. [PMID: 23899598 DOI: 10.1016/b978-0-12-396971-2.00007-5] [Citation(s) in RCA: 221] [Impact Index Per Article: 20.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Much of the current science on, and mathematical modeling of, dynamic changes in human performance within and between days is dominated by the two-process model of sleep-wake regulation, which posits a neurobiological drive for sleep that varies homeostatically (increasing as a saturating exponential during wakefulness and decreasing in a like manner during sleep), and a circadian process that neurobiologically modulates both the homeostatic drive for sleep and waking alertness and performance. Endogenous circadian rhythms in neurobehavioral functions, including physiological alertness and cognitive performance, have been demonstrated using special laboratory protocols that reveal the interaction of the biological clock with the sleep homeostatic drive. Individual differences in circadian rhythms and genetic and other components underlying such differences also influence waking neurobehavioral functions. Both acute total sleep deprivation and chronic sleep restriction increase homeostatic sleep drive and degrade waking neurobehavioral functions as reflected in sleepiness, attention, cognitive speed, and memory. Recent evidence indicating a high degree of stability in neurobehavioral responses to sleep loss suggests that these trait-like individual differences are phenotypic and likely involve genetic components, including circadian genes. Recent experiments have revealed both sleep homeostatic and circadian effects on brain metabolism and neural activation. Investigation of the neural and genetic mechanisms underlying the dynamically complex interaction between sleep homeostasis and circadian systems is beginning. A key goal of this work is to identify biomarkers that accurately predict human performance in situations in which the circadian and sleep homeostatic systems are perturbed.
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Affiliation(s)
- Namni Goel
- Division of Sleep and Chronobiology, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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