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 imputation and quality control. We identified several variants below the significance threshold of P = 5x 10(-8) (not corrected for analysis of multiple traits). The most significant was a hit near UFL1 associated with sleep efficiency on weekdays (P = 1.39 x 10(-8) ). Further SNPs were close to significance, including an association between sleep latency and a variant in CSNK2A1 (P = 8.20 x 10(-8) ), a gene known to be involved in the regulation of circadian rhythm. In summary, our GWAS identified novel candidate genes with biological plausibility being promising candidates for replication and further follow-up studies.
PubMed ID: 27126917
Projects: Genetical Statistics and Systems Biology, LIFE Adult
Publication type: Journal article
Journal: J Sleep Res
Human Diseases: No Human Disease specified
Citation: J Sleep Res. 2016 Dec;25(6):690-701. doi: 10.1111/jsr.12421. Epub 2016 Apr 29.
Date Published: 30th Apr 2016
Registered Mode: by PubMed ID
Views: 2916
Created: 13th May 2019 at 08:47
Last updated: 7th Dec 2021 at 17:58
This item has not yet been tagged.
None