GWAS identifies 14 loci for device-measured physical activity and sleep duration

Aiden Doherty; Karl Smith-Byrne; Teresa Ferreira; Michael V. Holmes; Chris Holmes; Sara L. Pulit; Cecilia M. Lindgren

doi:10.1038/s41467-018-07743-4

Nature Communications (Dec 2018)

GWAS identifies 14 loci for device-measured physical activity and sleep duration

Aiden Doherty,
Karl Smith-Byrne,
Teresa Ferreira,
Michael V. Holmes,
Chris Holmes,
Sara L. Pulit,
Cecilia M. Lindgren

Affiliations

Aiden Doherty: Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford
Karl Smith-Byrne: Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford
Teresa Ferreira: Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford
Michael V. Holmes: NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital
Chris Holmes: Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford
Sara L. Pulit: Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford
Cecilia M. Lindgren: Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford

DOI: https://doi.org/10.1038/s41467-018-07743-4
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 8

Abstract

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Studying the genetic underpinnings of physical activity and sleep duration can be confounded by self-reporting. Here, Doherty et al. use data from 91,105 UK Biobank participants, whose activity had been monitored for a week by a wearable device, for genome-wide association analysis and identify 14 loci.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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