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Using the Coriell Personalized Medicine Collaborative Data to conduct a genome-wide association study of sleep duration.

ABSTRACT: Sleep is critical to health and functionality, and several studies have investigated the inherited component of insomnia and other sleep disorders using genome-wide association studies (GWAS). However, genome-wide studies focused on sleep duration are less common. Here, we used data from participants in the Coriell Personalized Medicine Collaborative (CPMC) (n?=?4,401) to examine putative associations between self-reported sleep duration, demographic and lifestyle variables, and genome-wide single nucleotide polymorphism (SNP) data to better understand genetic contributions to variation in sleep duration. We employed stepwise ordered logistic regression to select our model and retained the following predictive variables: age, gender, weight, physical activity, physical activity at work, smoking status, alcohol consumption, ethnicity, and ancestry (as measured by principal components analysis) in our association testing. Several of our strongest candidate genes were previously identified in GWAS related to sleep duration (TSHZ2, ABCC9, FBXO15) and narcolepsy (NFATC2, SALL4). In addition, we have identified novel candidate genes for involvement in sleep duration including SORCS1 and ELOVL2. Our results demonstrate that the self-reported data collected through the CPMC are robust, and our genome-wide association analysis has identified novel candidate genes involved in sleep duration. More generally, this study contributes to a better understanding of the complexity of human sleep.

SUBMITTER: Scheinfeldt LB

PROVIDER: S-EPMC5049662 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature

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Using the Coriell Personalized Medicine Collaborative Data to conduct a genome-wide association study of sleep duration.

Scheinfeldt Laura B LB Gharani Neda N Kasper Rachel S RS Schmidlen Tara J TJ Gordon Erynn S ES Jarvis Joseph P JP Delaney Susan S Kronenthal Courtney J CJ Gerry Norman P NP Christman Michael F MF

American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics 20150903 8

Sleep is critical to health and functionality, and several studies have investigated the inherited component of insomnia and other sleep disorders using genome-wide association studies (GWAS). However, genome-wide studies focused on sleep duration are less common. Here, we used data from participants in the Coriell Personalized Medicine Collaborative (CPMC) (n = 4,401) to examine putative associations between self-reported sleep duration, demographic and lifestyle variables, and genome-wide sing ...[more]

PMID: 26333835

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Using the Coriell Personalized Medicine Collaborative Data to conduct a genome-wide association study of sleep duration.

Publications

Using the Coriell Personalized Medicine Collaborative Data to conduct a genome-wide association study of sleep duration.

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