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Using Mendelian Randomisation methods to understand whether diurnal preference is causally related to mental health

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posted on 2025-08-01, 12:34 authored by J O’Loughlin, F Casanova, SE Jones, SP Hagenaars, RN Beaumont, RM Freathy, ER Watkins, C Vetter, MK Rutter, SW Cain, AJK Phillips, DP Windred, AR Wood, MN Weedon, J Tyrrell
Late diurnal preference has been linked to poorer mental health outcomes, but the understanding of the causal role of diurnal preference on mental health and wellbeing is currently limited. Late diurnal preference is often associated with circadian misalignment (a mismatch between the timing of the endogenous circadian system and behavioural rhythms), so that evening people live more frequently against their internal clock. This study aims to quantify the causal contribution of diurnal preference on mental health outcomes, including anxiety, depression and general wellbeing and test the hypothesis that more misaligned individuals have poorer mental health and wellbeing using an actigraphy-based measure of circadian misalignment. Multiple Mendelian Randomisation (MR) approaches were used to test causal pathways between diurnal preference and seven well-validated mental health and wellbeing outcomes in up to 451,025 individuals. In addition, observational analyses tested the association between a novel, objective measure of behavioural misalignment (Composite Phase Deviation, CPD) and seven mental health and wellbeing outcomes. Using genetic instruments identified in the largest GWAS for diurnal preference, we provide robust evidence that early diurnal preference is protective for depression and improves wellbeing. For example, using one-sample MR, a twofold higher genetic liability of morningness was associated with lower odds of depressive symptoms (OR: 0.92, 95% CI: 0.88, 0.97). It is possible that behavioural factors including circadian misalignment may contribute in the chronotype depression relationship, but further work is needed to confirm these findings.

Funding

17/0005700

Academy of Medical Sciences

Diabetes UK

MR/S0151132

Medical Research Council (MRC)

Royal Society

SBF004\1079

WT104150

Wellcome Trust

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© 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/.

Notes

This is the final version. Available on open access from Springer Nature via the DOI in this record This research has been conducted using the UK Biobank resource under application number 9072.

Journal

Molecular Psychiatry

Publisher

Springer Nature

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  • Version of Record

Language

en

FCD date

2021-06-23T09:35:46Z

FOA date

2021-06-23T09:49:10Z

Citation

Published online 8 June 2021

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