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

Physical activity and sleep duration are established risk factors for many diseases, but their aetiology is poorly understood, partly due to relying on self-reported evidence. Here we report a genome-wide association study (GWAS) of device-measured physical activity and sleep duration in 91,105 UK B...

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Autores principales: Doherty, Aiden, Smith-Byrne, Karl, Ferreira, Teresa, Holmes, Michael V., Holmes, Chris, Pulit, Sara L., Lindgren, Cecilia M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288145/
https://www.ncbi.nlm.nih.gov/pubmed/30531941
http://dx.doi.org/10.1038/s41467-018-07743-4
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author Doherty, Aiden
Smith-Byrne, Karl
Ferreira, Teresa
Holmes, Michael V.
Holmes, Chris
Pulit, Sara L.
Lindgren, Cecilia M.
author_facet Doherty, Aiden
Smith-Byrne, Karl
Ferreira, Teresa
Holmes, Michael V.
Holmes, Chris
Pulit, Sara L.
Lindgren, Cecilia M.
author_sort Doherty, Aiden
collection PubMed
description Physical activity and sleep duration are established risk factors for many diseases, but their aetiology is poorly understood, partly due to relying on self-reported evidence. Here we report a genome-wide association study (GWAS) of device-measured physical activity and sleep duration in 91,105 UK Biobank participants, finding 14 significant loci (7 novel). These loci account for 0.06% of activity and 0.39% of sleep duration variation. Genome-wide estimates of ~ 15% phenotypic variation indicate high polygenicity. Heritability is higher in women than men for overall activity (23 vs. 20%, p = 1.5 × 10(−4)) and sedentary behaviours (18 vs. 15%, p = 9.7 × 10(−4)). Heritability partitioning, enrichment and pathway analyses indicate the central nervous system plays a role in activity behaviours. Two-sample Mendelian randomisation suggests that increased activity might causally lower diastolic blood pressure (beta mmHg/SD: −0.91, SE = 0.18, p = 8.2 × 10(−7)), and odds of hypertension (Odds ratio/SD: 0.84, SE = 0.03, p = 4.9 × 10(−8)). Our results advocate the value of physical activity for reducing blood pressure.
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spelling pubmed-62881452018-12-12 GWAS identifies 14 loci for device-measured physical activity and sleep duration Doherty, Aiden Smith-Byrne, Karl Ferreira, Teresa Holmes, Michael V. Holmes, Chris Pulit, Sara L. Lindgren, Cecilia M. Nat Commun Article Physical activity and sleep duration are established risk factors for many diseases, but their aetiology is poorly understood, partly due to relying on self-reported evidence. Here we report a genome-wide association study (GWAS) of device-measured physical activity and sleep duration in 91,105 UK Biobank participants, finding 14 significant loci (7 novel). These loci account for 0.06% of activity and 0.39% of sleep duration variation. Genome-wide estimates of ~ 15% phenotypic variation indicate high polygenicity. Heritability is higher in women than men for overall activity (23 vs. 20%, p = 1.5 × 10(−4)) and sedentary behaviours (18 vs. 15%, p = 9.7 × 10(−4)). Heritability partitioning, enrichment and pathway analyses indicate the central nervous system plays a role in activity behaviours. Two-sample Mendelian randomisation suggests that increased activity might causally lower diastolic blood pressure (beta mmHg/SD: −0.91, SE = 0.18, p = 8.2 × 10(−7)), and odds of hypertension (Odds ratio/SD: 0.84, SE = 0.03, p = 4.9 × 10(−8)). Our results advocate the value of physical activity for reducing blood pressure. Nature Publishing Group UK 2018-12-10 /pmc/articles/PMC6288145/ /pubmed/30531941 http://dx.doi.org/10.1038/s41467-018-07743-4 Text en © The Author(s) 2018 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/.
spellingShingle Article
Doherty, Aiden
Smith-Byrne, Karl
Ferreira, Teresa
Holmes, Michael V.
Holmes, Chris
Pulit, Sara L.
Lindgren, Cecilia M.
GWAS identifies 14 loci for device-measured physical activity and sleep duration
title GWAS identifies 14 loci for device-measured physical activity and sleep duration
title_full GWAS identifies 14 loci for device-measured physical activity and sleep duration
title_fullStr GWAS identifies 14 loci for device-measured physical activity and sleep duration
title_full_unstemmed GWAS identifies 14 loci for device-measured physical activity and sleep duration
title_short GWAS identifies 14 loci for device-measured physical activity and sleep duration
title_sort gwas identifies 14 loci for device-measured physical activity and sleep duration
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288145/
https://www.ncbi.nlm.nih.gov/pubmed/30531941
http://dx.doi.org/10.1038/s41467-018-07743-4
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