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Genome-wide association analysis identifies novel loci for chronotype in 100,420 individuals from the UK Biobank

Author

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  • Jacqueline M. Lane

    (Center for Human Genetic Research Massachusetts General Hospital
    Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School
    Program in Medical and Population Genetics, Broad Institute)

  • Irma Vlasac

    (Center for Human Genetic Research Massachusetts General Hospital
    Program in Medical and Population Genetics, Broad Institute)

  • Simon G. Anderson

    (Cardiovascular Research Group, Institute of Cardiovascular Sciences, The University of Manchester)

  • Simon D. Kyle

    (Sleep and Circadian Neuroscience Institute (SCNi), University of Oxford)

  • William G. Dixon

    (Centre for Musculoskeletal Research Institute of Inflammation and Repair, The University of Manchester)

  • David A. Bechtold

    (Faculty of Life Sciences, The University of Manchester)

  • Shubhroz Gill

    (Chemical Biology Program, Broad Institute, Cambridge)

  • Max A. Little

    (Engineering and Applied Science, Aston University)

  • Annemarie Luik

    (Sleep and Circadian Neuroscience Institute (SCNi), University of Oxford)

  • Andrew Loudon

    (Faculty of Life Sciences, The University of Manchester)

  • Richard Emsley

    (Institute of Population Health, The University of Manchester)

  • Frank A. J. L. Scheer

    (Brigham and Women’s Hospital
    Harvard Medical School)

  • Deborah A. Lawlor

    (MRC Integrative Epidemiology Unit at the University of Bristol
    School of Social and Community Medicine, University of Bristol)

  • Susan Redline

    (Brigham and Women’s Hospital
    Harvard Medical School)

  • David W. Ray

    (Centre for Endocrinology and Diabetes, Institute of Human Development, The University of Manchester)

  • Martin K. Rutter

    (Centre for Endocrinology and Diabetes, Institute of Human Development, The University of Manchester
    Manchester Diabetes Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre)

  • Richa Saxena

    (Center for Human Genetic Research Massachusetts General Hospital
    Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School
    Program in Medical and Population Genetics, Broad Institute
    Brigham and Women’s Hospital)

Abstract

Our sleep timing preference, or chronotype, is a manifestation of our internal biological clock. Variation in chronotype has been linked to sleep disorders, cognitive and physical performance, and chronic disease. Here we perform a genome-wide association study of self-reported chronotype within the UK Biobank cohort (n=100,420). We identify 12 new genetic loci that implicate known components of the circadian clock machinery and point to previously unstudied genetic variants and candidate genes that might modulate core circadian rhythms or light-sensing pathways. Pathway analyses highlight central nervous and ocular systems and fear-response-related processes. Genetic correlation analysis suggests chronotype shares underlying genetic pathways with schizophrenia, educational attainment and possibly BMI. Further, Mendelian randomization suggests that evening chronotype relates to higher educational attainment. These results not only expand our knowledge of the circadian system in humans but also expose the influence of circadian characteristics over human health and life-history variables such as educational attainment.

Suggested Citation

  • Jacqueline M. Lane & Irma Vlasac & Simon G. Anderson & Simon D. Kyle & William G. Dixon & David A. Bechtold & Shubhroz Gill & Max A. Little & Annemarie Luik & Andrew Loudon & Richard Emsley & Frank A., 2016. "Genome-wide association analysis identifies novel loci for chronotype in 100,420 individuals from the UK Biobank," Nature Communications, Nature, vol. 7(1), pages 1-10, April.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms10889
    DOI: 10.1038/ncomms10889
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    Cited by:

    1. Conlin, Andrew & Nerg, Iiro & Ala-Mursula, Leena & Räihä, Tapio & Korhonen, Marko, 2023. "The association between chronotype and wages at mid-age," Economics & Human Biology, Elsevier, vol. 50(C).

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