| Title: |
The role of accelerometer-derived sleep traits on glycated haemoglobin and glucose levels : a Mendelian randomization study |
| Authors: |
Liu, Junxi; Richmond, Rebecca C.; Anderson, Emma L.; Bowden, Jack; Barry, Ciarrah Jane S.; Dashti, Hassan S.; Daghlas, Iyas S.; Lane, Jacqueline M.; Kyle, Simon D.; Vetter, Céline; Morrison, Claire L.; Jones, Samuel E.; Wood, Andrew R.; Frayling, Timothy M.; Wright, Alison K.; Carr, Matthew J.; Anderson, Simon G.; Emsley, Richard A.; Ray, David W.; Weedon, Michael N.; Saxena, Richa; Rutter, Martin K.; Lawlor, Deborah A. |
| Contributors: |
Institute for Molecular Medicine Finland; University of Helsinki |
| Publisher Information: |
Nature Research |
| Publication Year: |
2025 |
| Collection: |
Helsingfors Universitet: HELDA – Helsingin yliopiston digitaalinen arkisto |
| Subject Terms: |
Diabetes; Epidemiology; Glucose; Glycated haemoglobin; Mendelian randomization; Sleepiness; General medicine; internal medicine and other clinical medicine |
| Description: |
Self-reported shorter/longer sleep duration, insomnia, and evening preference are associated with hyperglycaemia in observational analyses, with similar observations in small studies using accelerometer-derived sleep traits. Mendelian randomization (MR) studies support an effect of self-reported insomnia, but not others, on glycated haemoglobin (HbA1c). To explore potential effects, we used MR methods to assess effects of accelerometer-derived sleep traits (duration, mid-point least active 5-h, mid-point most active 10-h, sleep fragmentation, and efficiency) on HbA1c/glucose in European adults from the UK Biobank (UKB) (n = 73,797) and the MAGIC consortium (n = 146,806). Cross-trait linkage disequilibrium score regression was applied to determine genetic correlations across accelerometer-derived, self-reported sleep traits, and HbA1c/glucose. We found no causal effect of any accelerometer-derived sleep trait on HbA1c or glucose. Similar MR results for self-reported sleep traits in the UKB sub-sample with accelerometer-derived measures suggested our results were not explained by selection bias. Phenotypic and genetic correlation analyses suggested complex relationships between self-reported and accelerometer-derived traits indicating that they may reflect different types of exposure. These findings suggested accelerometer-derived sleep traits do not affect HbA1c. Accelerometer-derived measures of sleep duration and quality might not simply be ‘objective’ measures of self-reported sleep duration and insomnia, but rather captured different sleep characteristics. ; Peer reviewed |
| Document Type: |
article in journal/newspaper |
| File Description: |
application/pdf |
| Language: |
English |
| Relation: |
This research has been conducted using the UK Biobank Resource under application 6818. We would like to thank the participants and researchers from the UK Biobank who contributed or collected data. Data on glycaemic traits have been contributed by MAGIC investigators and have been downloaded from www.magicinvestigators.org. We thank Dr. Eleanor Sanderson (MRC/IEU, University of Bristol) for providing statistical support on multivariable Mendelian randomization. We declare the manuscript of this study has been posted as a preprint on MedRxiv: https://www.medrxiv.org/content/ https://doi.org/10.1101/2022.10.11.22280427v1. This work is supported by a Diabetes UK grant (17/0005700), which funds J.L, A.K.W, and S.E.J\u2019s salary. J.L, R.C.R, E.L.A, and D.A.L work in a unit that is funded by the University of Bristol and the UK Medical Research Council (MC_UU_00011/1 and MC_UU_00011/6) and D.A.L\u2019s contribution to this paper was supported by a grant from the British Heart Foundation (AA/18/1/34219) an NIHR Senior Investigator (NF-0616-10102) and BHF Chair in Cardiovascular Science and Clinical Epidemiology (CH/F/20/90003). R.C.R is a de Pass Vice Chancellor\u2019s research fellow at the University of Bristol. H.S.D. is funded by the National Institutes of Health (K99HL153795). R.S is funded by the National Institute of Health (R01DK107859 and R01DK105072). R.S is awarded the Phyllis and Jerome Lyle Rappaport Massachusetts General Hospital Research Scholar Award. J.B is funded by an Establishing Excellence in England (E) grant awarded to the University of Exeter. D.W.R is funded by MRC programme grant (MR/P023576/1), and is a Wellcome Investigator, Wellcome Trust (107849/Z/15/Z and 107849/A/15/Z), and NIHR Oxford Health Biomedical Research Centre (NIHR203316). C.S.B is supported by the Wellcome Trust via a Ph.D. (218495/Z/19/Z). S.D.K is supported by the NIHR Oxford Biomedical Research Centre. E.L.A is funded by a UKRI Future Leaders Fellowship (MR/W011581/1). This research was supported by the NIHR Manchester Biomedical Research Centre (NIHR203308). The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care. These funders did not have any role in the study design, analyses or interpretation of results. The views expressed in the paper are those of the authors and not necessarily any acknowledged funders.; https://hdl.handle.net/10138/592756; 85197147866; 001258865400021 |
| Availability: |
https://hdl.handle.net/10138/592756 |
| Rights: |
cc_by ; info:eu-repo/semantics/openAccess ; openAccess |
| Accession Number: |
edsbas.C67D111 |
| Database: |
BASE |