rs117297873 - CCDC88C
Magnitude 2.2 · 1 study on file
Reported associations
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Genome-wide association analysis of actigraphic sleep phenotypes in the LIFE Adult Study. - Journal of sleep research (2017) · Spada J, Scholz M, Kirsten H, Hensch T, Horn K, Jawinski P, Ulke C, Burkhardt R, Wirkner K, Loeffler M, Hegerl U, Sander C · PubMed 27126917
The genetic basis of sleep is still poorly understood. Despite the moderate to high heritability of sleep-related phenotypes, known genetic variants explain only a small proportion of the phenotypical variance. However, most previous studies were based solely upon self-report measures. The present study aimed to conduct the first genome-wide association (GWA) of actigraphic sleep phenotypes. The analyses included 956 middle- to older-aged subjects (40-79 years) from the LIFE Adult Study. The SenseWear Pro 3 Armband was used to collect 11 actigraphic parameters of night- and daytime sleep and three parameters of rest (lying down). The parameters comprised measures of sleep timing, quantity and quality. A total of 7 141 204 single nucleotide polymorphisms (SNPs) were analysed after imputa
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Lifestyle context
Concrete actions anchored to the cited research. We do not prescribe, we describe.
Discuss with your doctor
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Daytime sleepiness risk assessment and sleep disorder screening Moderate
Genetic association with daytime sleep phenotypes warrants clinical evaluation to identify primary sleep disorders, circadian misalignment, or other addressable causes.
Raise daytime sleepiness tendency at next visit; request sleep history assessment; discuss whether formal sleep study or actigraphy monitoring indicated.
Lifestyle
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Daytime sleepiness pattern tracking Moderate
CCDC88C rs117297873 variants associated with daytime sleep phenotypes; active tracking enables early recognition of shifts in alertness.
Track daytime energy or sleepiness (1-10 scale) at mid-morning, afternoon, and evening for 2-week baseline; note triggers.