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

Abstract:

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

Authors: J. Spada, M. Scholz, H. Kirsten, T. Hensch, K. Horn, P. Jawinski, C. Ulke, R. Burkhardt, K. Wirkner, M. Loeffler, U. Hegerl, C. Sander

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Created: 13th May 2019 at 08:47

Last updated: 7th Dec 2021 at 17:58

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