{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T16:09:04Z","timestamp":1761581344890},"reference-count":32,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2015,9,3]],"date-time":"2015-09-03T00:00:00Z","timestamp":1441238400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100006831","name":"U.S. Air Force","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006831","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["American J of Med Genetics Pt B"],"published-print":{"date-parts":[[2015,12]]},"abstract":"<jats:sec><jats:label \/><jats:p>Sleep is critical to health and functionality, and several studies have investigated the inherited component of insomnia and other sleep disorders using genome\u2010wide association studies (GWAS). However, genome\u2010wide studies focused on sleep duration are less common. Here, we used data from participants in the Coriell Personalized Medicine Collaborative (CPMC) (n\u2009=\u20094,401) to examine putative associations between self\u2010reported sleep duration, demographic and lifestyle variables, and genome\u2010wide 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 (<jats:italic>TSHZ2, ABCC9, FBXO15<\/jats:italic>) and narcolepsy (<jats:italic>NFATC2<\/jats:italic>, <jats:italic>SALL4<\/jats:italic>). In addition, we have identified novel candidate genes for involvement in sleep duration including <jats:italic>SORCS1<\/jats:italic> and <jats:italic>ELOVL2<\/jats:italic>. Our results demonstrate that the self\u2010reported data collected through the CPMC are robust, and our genome\u2010wide 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. \u00a9 2015 The Authors. <jats:italic>American Journal of Medical Genetics Part B: Neuropsychiatric Genetics<\/jats:italic> Published by Wiley Periodicals, Inc.<\/jats:p><\/jats:sec>","DOI":"10.1002\/ajmg.b.32362","type":"journal-article","created":{"date-parts":[[2015,9,3]],"date-time":"2015-09-03T06:41:56Z","timestamp":1441262516000},"page":"697-705","source":"Crossref","is-referenced-by-count":32,"title":["Using the Coriell Personalized Medicine Collaborative Data to conduct a genome\u2010wide association study of sleep duration"],"prefix":"10.1002","volume":"168","author":[{"given":"Laura B.","family":"Scheinfeldt","sequence":"first","affiliation":[{"name":"Coriell Institute for Medical Research Camden New Jersey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Neda","family":"Gharani","sequence":"additional","affiliation":[{"name":"Coriell Institute for Medical 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