The role of accelerometer-derived sleep traits on glycated haemoglobin and glucose levels: a Mendelian randomization study

Junxi Liu, Rebecca C Richmond, Emma L Anderson, Jack Bowden, Ciarrah-Jane S Barry, Hassan S Dashti, Iyas S Daghlas, Jacqueline M Lane, Simon D Kyle, Céline Vetter, Claire L Morrison, Samuel E Jones, Andrew R Wood, Timothy M Frayling, Alison K Wright, Matthew J Carr, Simon G Anderson, Richard A Emsley, David W Ray, Michael N WeedonRicha Saxena, Martin K Rutter, Deborah A Lawlor

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article number14962
Pages (from-to)14962
JournalScientific Reports
Volume14
Issue number1
DOIs
Publication statusPublished - 28 Jun 2024

Keywords

  • Humans
  • Mendelian Randomization Analysis
  • Glycated Hemoglobin/analysis
  • Accelerometry
  • Sleep/genetics
  • Blood Glucose/analysis
  • Male
  • Female
  • Middle Aged
  • Adult
  • Self Report
  • Aged
  • Sleep Initiation and Maintenance Disorders/genetics

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