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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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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. |
format | Online Article Text |
id | pubmed-6288145 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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