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Heritability of Sleep Homeostasis in Twins

Heritability of Sleep Homeostasis in Twins

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02827461
Enrollment
240
Registered
2016-07-11
Start date
2003-09-30
Completion date
2008-08-31
Last updated
2016-07-11

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Hereditability of Sleep Homeostasis in Twins

Brief summary

The purpose of this study is to understand the hereditability of sleep homeostasis, i.e., drive for sleep by looking at monozygotic and dizygotic twins.

Detailed description

Excessive daytime sleepiness is a prevalent problem in our society associated with an increased risk of vehicular crashes and industrial accidents. Sleepiness is, in part, determined by fundamental biology relating to sleep homeostasis, i.e., the rate of accumulation of the pressure for sleep during wakefulness. A differential susceptibility to sleep deprivation is reported in normal subjects with large intraindividual differences in the degree of functional impairment produced by the same duration of sleep. Genetics are likely to play an important role in sleep homeostasis as shown by recent studies in inbred mouse strains, but whether genetics plays any role in humans and, if so, the magnitude of this role, is unknown. This proposal is based on the hypothesis that sleep homeostasis is a heritable trait in humans. Given the complexity of phenotyping to study sleep homeostasis, the investigators propose that studying differences in the variances of the phenotype between monozygotic and dizygotic twins is the optimal approach to estimate heritability of sleep homeostasis. The investigators will assess sleep homeostasis in 80 pairs of monozygotic and 80 pairs of dizygotic twins by quantifying the increase in delta power during recovery sleep following sleep deprivation and the increase in theta power during the period of prolonged wakefulness. Subjects will be recruited using the PennTwins Cohort, a population-based cohort of about 1,800 twin pairs. If heritability of sleep homeostasis is shown, this EEG-based phenotyping strategy could not be easily applied to the larger scale population studies that will be required to assess underlying genetic variants. Thus, part of the overall strategy is to evaluate, and potentially validate, other approaches to phenotyping that are less physiologically rigorous but are more easily applied to a larger number of subjects. Therefore, as a subsidiary goal, the investigators will also estimate heritability of performance lapses during prolonged wakefulness as a surrogate method to assess sleep homeostasis. The investigators will particularly determine whether the differences in the measures based on our physiological intensive phenotypes between pairs of dizygotic twins are reflected in differences in this phenotyping approach that is simpler to perform. Such a result would indicate that this simpler method could be used in larger scale population studies, and will be part of future strategies to elucidate genetic variants determining sleepiness.

Interventions

None listed

Sponsors

National Institutes of Health (NIH)
CollaboratorNIH
National Center for Research Resources (NCRR)
CollaboratorNIH
National Heart, Lung, and Blood Institute (NHLBI)
CollaboratorNIH
University of Pennsylvania
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 55 Years
Healthy volunteers
Yes

Inclusion criteria

* Being a twin with a twin of same gender * Age between18 and 55 years

Exclusion criteria

All

Design outcomes

Primary

MeasureTime frameDescription
Measure heritability of sleep by increase in electroencephalographic slow-wave activityThrough study completion, 4-6 weeksThe investigators will measure this during recovery NREM sleep following a period of prolonged wakefulness and the increase in theta power during the prolonged wakefulness period

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 27, 2026