56
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates

      research-article
      1 , 2 , 3 , 3 , 1 , 2 , 4 , 5 , 2 , 6 , 7 , 1 , 2 , 1 , 8 , 1 , 8 , 9 , 3 , 10 , 11 , 12 , 2 , 6 , 7 , 13 , 14 , 15 , 16 , 17 , 10 , 15 , 2 , 7 , 18 , 19 , 3 , 6 , 7 , 20 , 21 , 22 , 10 , 23 , 3 , 24 , 11 , 12 , 10 , 25 , 3 , 1 , 2 , 4 ,
      Nature Communications
      Nature Publishing Group UK

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Sleep is an essential state of decreased activity and alertness but molecular factors regulating sleep duration remain unknown. Through genome-wide association analysis in 446,118 adults of European ancestry from the UK Biobank, we identify 78 loci for self-reported habitual sleep duration ( p < 5 × 10 −8; 43 loci at p < 6 × 10 −9). Replication is observed for PAX8, VRK2, and FBXL12/UBL5/PIN1 loci in the CHARGE study ( n = 47,180; p < 6.3 × 10 −4), and 55 signals show sign-concordant effects. The 78 loci further associate with accelerometer-derived sleep duration, daytime inactivity, sleep efficiency and number of sleep bouts in secondary analysis ( n = 85,499). Loci are enriched for pathways including striatum and subpallium development, mechanosensory response, dopamine binding, synaptic neurotransmission and plasticity, among others. Genetic correlation indicates shared links with anthropometric, cognitive, metabolic, and psychiatric traits and two-sample Mendelian randomization highlights a bidirectional causal link with schizophrenia. This work provides insights into the genetic basis for inter-individual variation in sleep duration implicating multiple biological pathways.

          Abstract

          Sleep is essential for homeostasis and insufficient or excessive sleep are associated with adverse outcomes. Here, the authors perform GWAS for self-reported habitual sleep duration in adults, supported by accelerometer-derived measures, and identify genetic correlation with psychiatric and metabolic traits

          Related collections

          Most cited references36

          • Record: found
          • Abstract: found
          • Article: not found

          Self-reported and measured sleep duration: how similar are they?

          Recent epidemiologic studies have found that self-reported duration of sleep is associated with obesity, diabetes, hypertension, and mortality. The extent to which self reports of sleep duration are similar to objective measures and whether individual characteristics influence the degree of similarity are not known. Eligible participants at the Chicago site of the Coronary Artery Risk Development in Young Adults Study were invited to participate in a 2003-2005 ancillary sleep study; 82% (n = 669) agreed. Sleep measurements collected in 2 waves included 3 days each of wrist actigraphy, a sleep log, and questions about usual sleep duration. We estimate the average difference and correlation between subjectively and objectively measured sleep by using errors-in-variables regression models. Average measured sleep was 6 hours, whereas the average from subjective reports was 6.8 hours. Subjective reports increased on average by 34 minutes for each additional hour of measured sleep. Overall, the correlation between reported and measured sleep duration was 0.47. Our model suggests that persons sleeping 5 hours over-reported their sleep duration by 1.2 hours, and those sleeping 7 hours over-reported by 0.4 hours. The correlations and average differences between self-reports and measured sleep varied by health, sociodemographic, and sleep characteristics. In a population-based sample of middle-aged adults, subjective reports of habitual sleep are moderately correlated with actigraph-measured sleep, but are biased by systematic over-reporting. The true associations between sleep duration and health may differ from previously reported associations between self-reported sleep and health.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Ontogenetic development of the human sleep-dream cycle.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              A prospective study of self-reported sleep duration and incident diabetes in women.

              Short-term sleep restriction results in impaired glucose tolerance. To test whether habitually short sleep duration increases the risk of developing diabetes, we studied a cohort of 70,026 women enrolled in the Nurses Health Study, without diabetes at baseline, and who responded to a question about daily sleep duration in 1986. Subjects were followed until 1996 for the diagnosis of diabetes (1,969 cases). Long and short sleep durations were associated with an increased risk of diabetes diagnosis. The relative risks (RRs) for short (slept or =9 h per day) sleepers were 1.57 (95% CI 1.28-1.92) and 1.47 (1.19-1.80), respectively. After adjustment for BMI and a variety of confounders, the RR was not significantly increased for short sleepers (1.18 [0.96-1.44]) but remained modestly increased for long sleepers (1.29 [1.05-1.59]). We then performed a similar analysis using only symptomatic cases (n = 1,187). Adjusted RRs for symptomatic diabetes were modestly elevated in both short (1.34 [1.04-1.72]) and long (1.35 [1.04-1.75]) sleepers. Our data suggest that the association between a reduced self-reported sleep duration and diabetes diagnosis could be due to confounding by BMI, or sleep restriction may mediate its effects on diabetes through weight gain. Sleep restriction may be an independent risk factor for developing symptomatic diabetes.
                Bookmark

                Author and article information

                Contributors
                rsaxena@partners.org
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                7 March 2019
                7 March 2019
                2019
                : 10
                : 1100
                Affiliations
                [1 ]ISNI 0000 0004 0386 9924, GRID grid.32224.35, Center for Genomic Medicine, , Massachusetts General Hospital and Harvard Medical School, ; Boston, 02114 MA USA
                [2 ]GRID grid.66859.34, Broad Institute, ; Cambridge, 02142 MA USA
                [3 ]ISNI 0000 0004 1936 8024, GRID grid.8391.3, Genetics of Complex Traits, , University of Exeter Medical School, ; Exeter, EX2 5DW UK
                [4 ]ISNI 0000 0004 0386 9924, GRID grid.32224.35, Department of Anesthesia, Critical Care and Pain Medicine, , Massachusetts General Hospital and Harvard Medical School, ; Boston, 02114 MA USA
                [5 ]GRID grid.454309.f, Netherlands eScience Center, ; Amsterdam, 1098 XG The Netherlands
                [6 ]ISNI 0000 0004 0378 8294, GRID grid.62560.37, Division of Sleep and Circadian Disorders, Department of Medicine, , Brigham and Women’s Hospital, ; Boston, 02115 MA USA
                [7 ]ISNI 000000041936754X, GRID grid.38142.3c, Division of Sleep Medicine, , Harvard Medical School, ; Boston, 02115 MA USA
                [8 ]ISNI 0000 0001 2173 3359, GRID grid.261112.7, Northeastern University College of Science, ; 176 Mugar Life Sciences, 360 Huntington Avenue, Boston, MA 02015 USA
                [9 ]ISNI 0000000121662407, GRID grid.5379.8, Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, , The University of Manchester, ; Manchester, M13 9PL UK
                [10 ]ISNI 0000000121662407, GRID grid.5379.8, Division of Endocrinology, Diabetes & Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, , University of Manchester, ; Manchester, M13 9PL UK
                [11 ]ISNI 0000 0004 1936 7603, GRID grid.5337.2, MRC Integrative Epidemiology Unit at the University of Bristol, ; Bristol, BS8 2BN UK
                [12 ]ISNI 0000 0004 1936 7603, GRID grid.5337.2, Population Health Sciences, Bristol Medical School, , University of Bristol, ; Bristol, BS8 2BN UK
                [13 ]ISNI 0000 0001 2287 8496, GRID grid.10586.3a, Department of Physiology, , University of Murcia, ; Murcia, 30100 Spain
                [14 ]GRID grid.452553.0, IMIB-Arrixaca, ; Murcia, 30120 Spain
                [15 ]ISNI 0000 0004 1936 8948, GRID grid.4991.5, Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, , University of Oxford, ; Oxford, OX3 7LF UK
                [16 ]ISNI 0000 0004 0376 4727, GRID grid.7273.1, Department of Mathematics, , Aston University, ; Birmingham, B4 7ET UK
                [17 ]ISNI 0000 0001 2341 2786, GRID grid.116068.8, Media Lab, , Massachusetts Institute of Technology, ; Cambridge, 02139 MA USA
                [18 ]ISNI 0000 0004 0378 8294, GRID grid.62560.37, Medical Chronobiology Program, Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, , Brigham and Women’s Hospital, ; Boston, 02115 MA USA
                [19 ]GRID grid.5963.9, Clinic for Psychiatry and Psychotherapy, Medical Centre - University of Freiburg, Faculty of Medicine, , University of Freiburg, ; Freiburg, 79106 Germany
                [20 ]ISNI 0000 0004 4657 1992, GRID grid.410370.1, VA Boston Healthcare System, ; Boston, 02132 MA USA
                [21 ]ISNI 000000041936754X, GRID grid.38142.3c, Deprtment of Social and Behavioral Science, , Harvard TH Chan School of Public Health, ; Boston, 02115 MA USA
                [22 ]ISNI 000000040459992X, GRID grid.5645.2, Department of Epidemiology, , Erasmus Medical Center, ; Rotterdam, 3015 The Netherlands
                [23 ]ISNI 000000041936754X, GRID grid.38142.3c, Department of Psychiatry, Brigham & Women’s Hospital, , Harvard Medical School, ; 02115, Boston, MA USA
                [24 ]ISNI 000000041936754X, GRID grid.38142.3c, Departments of Medicine, Brigham and Women’s Hospital and Beth Israel Deaconess Medical Center, , Harvard Medical School, ; Boston, 02115 MA USA
                [25 ]ISNI 0000 0004 0417 0074, GRID grid.462482.e, Manchester Diabetes Centre, Manchester University NHS Foundation Trust, , Manchester Academic Health Science Centre, ; Manchester, M13 9PL UK
                Author information
                http://orcid.org/0000-0002-1650-679X
                http://orcid.org/0000-0003-0153-922X
                http://orcid.org/0000-0003-0182-9008
                http://orcid.org/0000-0002-1486-7495
                http://orcid.org/0000-0002-2411-6548
                http://orcid.org/0000-0002-8896-073X
                http://orcid.org/0000-0001-8676-8704
                http://orcid.org/0000-0002-1507-3822
                http://orcid.org/0000-0002-2014-7582
                http://orcid.org/0000-0002-9256-6065
                http://orcid.org/0000-0002-4739-6773
                http://orcid.org/0000-0002-6793-2262
                http://orcid.org/0000-0003-2233-1065
                Article
                8917
                10.1038/s41467-019-08917-4
                6405943
                30846698
                e091d57a-5cc0-45af-b878-b1c0ca1b9eb3
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 1 November 2018
                : 31 January 2019
                Categories
                Article
                Custom metadata
                © The Author(s) 2019

                Uncategorized
                Uncategorized

                Comments

                Comment on this article