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GWAS of 89,283 individuals identifies genetic variants associated with self-reporting of being a morning person

Author

Listed:
  • Youna Hu

    (23andMe, Inc.
    Present address: A9.com Inc, 130 Lytton Avenue, Palo Alto, California 94301, USA.)

  • Alena Shmygelska

    (23andMe, Inc.)

  • David Tran

    (23andMe, Inc.
    San Jose State University)

  • Nicholas Eriksson

    (23andMe, Inc.)

  • Joyce Y. Tung

    (23andMe, Inc.)

  • David A. Hinds

    (23andMe, Inc.)

Abstract

Circadian rhythms are a nearly universal feature of living organisms and affect almost every biological process. Our innate preference for mornings or evenings is determined by the phase of our circadian rhythms. We conduct a genome-wide association analysis of self-reported morningness, followed by analyses of biological pathways and related phenotypes. We identify 15 significantly associated loci, including seven near established circadian genes (rs12736689 near RGS16, P=7.0 × 10−18; rs9479402 near VIP, P=3.9 × 10−11; rs55694368 near PER2, P=2.6 × 10−9; rs35833281 near HCRTR2, P=3.7 × 10−9; rs11545787 near RASD1, P=1.4 × 10−8; rs11121022 near PER3, P=2.0 × 10−8; rs9565309 near FBXL3, P=3.5 × 10−8. Circadian and phototransduction pathways are enriched in our results. Morningness is associated with insomnia and other sleep phenotypes; and is associated with body mass index and depression but we did not find evidence for a causal relationship in our Mendelian randomization analysis. Our findings reinforce current understanding of circadian biology and will guide future studies.

Suggested Citation

  • Youna Hu & Alena Shmygelska & David Tran & Nicholas Eriksson & Joyce Y. Tung & David A. Hinds, 2016. "GWAS of 89,283 individuals identifies genetic variants associated with self-reporting of being a morning person," Nature Communications, Nature, vol. 7(1), pages 1-9, April.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms10448
    DOI: 10.1038/ncomms10448
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    Cited by:

    1. Philipp D Koellinger & Aysu Okbay & Hyeokmoon Kweon & Annemarie Schweinert & Richard Karlsson Linnér & Jan Goebel & David Richter & Lisa Reiber & Bettina Maria Zweck & Daniel W Belsky & Pietro Biroli , 2023. "Cohort profile: Genetic data in the German Socio-Economic Panel Innovation Sample (SOEP-G)," PLOS ONE, Public Library of Science, vol. 18(11), pages 1-23, November.

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