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, sm

SUBMITTER: Scheinfeldt LB 

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

REPOSITORIES: biostudies-literature