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Genetic determinants of daytime napping and effects on cardiometabolic health

Daytime napping is a common, heritable behavior, but its genetic basis and causal relationship with cardiometabolic health remain unclear. Here, we perform a genome-wide association study of self-reported daytime napping in the UK Biobank (n = 452,633) and identify 123 loci of which 61 replicate in...

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Autores principales: Dashti, Hassan S., Daghlas, Iyas, Lane, Jacqueline M., Huang, Yunru, Udler, Miriam S., Wang, Heming, Ollila, Hanna M., Jones, Samuel E., Kim, Jaegil, Wood, Andrew R., Weedon, Michael N., Aslibekyan, Stella, Garaulet, Marta, Saxena, Richa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7876146/
https://www.ncbi.nlm.nih.gov/pubmed/33568662
http://dx.doi.org/10.1038/s41467-020-20585-3
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author Dashti, Hassan S.
Daghlas, Iyas
Lane, Jacqueline M.
Huang, Yunru
Udler, Miriam S.
Wang, Heming
Ollila, Hanna M.
Jones, Samuel E.
Kim, Jaegil
Wood, Andrew R.
Weedon, Michael N.
Aslibekyan, Stella
Garaulet, Marta
Saxena, Richa
author_facet Dashti, Hassan S.
Daghlas, Iyas
Lane, Jacqueline M.
Huang, Yunru
Udler, Miriam S.
Wang, Heming
Ollila, Hanna M.
Jones, Samuel E.
Kim, Jaegil
Wood, Andrew R.
Weedon, Michael N.
Aslibekyan, Stella
Garaulet, Marta
Saxena, Richa
author_sort Dashti, Hassan S.
collection PubMed
description Daytime napping is a common, heritable behavior, but its genetic basis and causal relationship with cardiometabolic health remain unclear. Here, we perform a genome-wide association study of self-reported daytime napping in the UK Biobank (n = 452,633) and identify 123 loci of which 61 replicate in the 23andMe research cohort (n = 541,333). Findings include missense variants in established drug targets for sleep disorders (HCRTR1, HCRTR2), genes with roles in arousal (TRPC6, PNOC), and genes suggesting an obesity-hypersomnolence pathway (PNOC, PATJ). Association signals are concordant with accelerometer-measured daytime inactivity duration and 33 loci colocalize with loci for other sleep phenotypes. Cluster analysis identifies three distinct clusters of nap-promoting mechanisms with heterogeneous associations with cardiometabolic outcomes. Mendelian randomization shows potential causal links between more frequent daytime napping and higher blood pressure and waist circumference.
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spelling pubmed-78761462021-02-24 Genetic determinants of daytime napping and effects on cardiometabolic health Dashti, Hassan S. Daghlas, Iyas Lane, Jacqueline M. Huang, Yunru Udler, Miriam S. Wang, Heming Ollila, Hanna M. Jones, Samuel E. Kim, Jaegil Wood, Andrew R. Weedon, Michael N. Aslibekyan, Stella Garaulet, Marta Saxena, Richa Nat Commun Article Daytime napping is a common, heritable behavior, but its genetic basis and causal relationship with cardiometabolic health remain unclear. Here, we perform a genome-wide association study of self-reported daytime napping in the UK Biobank (n = 452,633) and identify 123 loci of which 61 replicate in the 23andMe research cohort (n = 541,333). Findings include missense variants in established drug targets for sleep disorders (HCRTR1, HCRTR2), genes with roles in arousal (TRPC6, PNOC), and genes suggesting an obesity-hypersomnolence pathway (PNOC, PATJ). Association signals are concordant with accelerometer-measured daytime inactivity duration and 33 loci colocalize with loci for other sleep phenotypes. Cluster analysis identifies three distinct clusters of nap-promoting mechanisms with heterogeneous associations with cardiometabolic outcomes. Mendelian randomization shows potential causal links between more frequent daytime napping and higher blood pressure and waist circumference. Nature Publishing Group UK 2021-02-10 /pmc/articles/PMC7876146/ /pubmed/33568662 http://dx.doi.org/10.1038/s41467-020-20585-3 Text en © The Author(s) 2021 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
Dashti, Hassan S.
Daghlas, Iyas
Lane, Jacqueline M.
Huang, Yunru
Udler, Miriam S.
Wang, Heming
Ollila, Hanna M.
Jones, Samuel E.
Kim, Jaegil
Wood, Andrew R.
Weedon, Michael N.
Aslibekyan, Stella
Garaulet, Marta
Saxena, Richa
Genetic determinants of daytime napping and effects on cardiometabolic health
title Genetic determinants of daytime napping and effects on cardiometabolic health
title_full Genetic determinants of daytime napping and effects on cardiometabolic health
title_fullStr Genetic determinants of daytime napping and effects on cardiometabolic health
title_full_unstemmed Genetic determinants of daytime napping and effects on cardiometabolic health
title_short Genetic determinants of daytime napping and effects on cardiometabolic health
title_sort genetic determinants of daytime napping and effects on cardiometabolic health
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7876146/
https://www.ncbi.nlm.nih.gov/pubmed/33568662
http://dx.doi.org/10.1038/s41467-020-20585-3
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