Maxime M. Bos, Neil J. Goulding, Matthew A. Lee, Amy Hofman, Mariska Bot, René Pool, Lisanne S. Vijfhuizen, Xiang Zhang, Chihua Li, Rima Mustafa, Matt J. Neville, Ruifang Li-Gao, Stella Trompet, Marian Beekman, Nienke R. Biermasz, Dorret I. Boomsma, Irene de Boer, Constantinos Christodoulides, Abbas Dehghan, Ko Willems van Dijk, Ian Ford, Mohsen Ghanbari, Bastiaan T. Heijmans, M. Arfan Ikram, J. Wouter Jukema, Dennis O. Mook-Kanamori, Fredrik Karpe, Annemarie I. Luik, L. H. Lumey, Arn M. J. M. van den Maagdenberg, Simon P. Mooijaart, Renée de Mutsert, Brenda W. J. H. Penninx, Patrick C. N. Rensen, Rebecca C. Richmond, Frits R. Rosendaal, Naveed Sattar, Robert A. Schoevers,P. Eline Slagboom, Gisela M. Terwindt, Carisha S. Thesing, Kaitlin H. Wade, Carolien A. Wijsman, Gonneke Willemsen, Aeilko H. Zwinderman, Diana van Heemst, Raymond Noordam & Deborah A. Lawlor. Investigating the relationships between unfavourable habitual sleep and metabolomic traits: evidence from multi- multivariable regression and Mendelian randomization analyses. Research articlee | Open Access |Published:
Abstract
Background
Sleep traits are associated with cardiometabolic disease risk, with evidence from Mendelian randomization (MR) suggesting that insomnia symptoms and shorter sleep duration increase coronary artery disease risk. We combined adjusted multivariable regression (AMV) and MR analyses of phenotypes of unfavourable sleep on 113 metabolomic traits to investigate possible biochemical mechanisms linking sleep to cardiovascular disease.