Sleep, major depressive disorder and Alzheimer’s disease: a Mendelian randomisation study
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Accepted version
Accepted version
Author(s)
Type
Journal Article
Abstract
Objective
To explore the causal relationships between sleep, major depressive disorder (MDD), and Alzheimer’s disease (AD).
Methods
We conducted bi-directional two-sample Mendelian randomisation analyses. Genetic associations were obtained from the largest genome-wide association studies currently available in UK Biobank (N=446,118), the Psychiatric Genomics Consortium (N=18,759), and the International Genomics of Alzheimer’s Project (N=63,926). We used the inverse variance weighted Mendelian randomisation method to estimate causal effects, and weighted median and MR-Egger for sensitivity analyses to test for pleiotropic effects.
Results
We found that higher risk of AD was significantly associated with being a “morning person” (odds ratio (OR)=1.01, P=0.001), shorter sleep duration (self-reported: β=-0.006, P=1.9×10-4; accelerometer-based: β=-0.015, P=6.9×10-5), less likely to report long sleep (β=-0.003, P=7.3×10-7), earlier timing of the least active 5 hours (β=-0.024, P=1.7×10-13), and a smaller number of sleep episodes (β=-0.025, P=5.7×10-14) after adjusting for multiple comparisons. We also found that higher risk of AD was associated with lower risk of insomnia (OR=0.99, P=7×10-13). However, we did not find evidence either that these abnormal sleep patterns were causally related to AD or for a significant causal relationship between MDD and risk of AD.
Conclusion
We found that AD may causally influence sleep patterns. However, we did not find evidence supporting a causal role of disturbed sleep patterns for AD or evidence for a causal relationship between MDD and AD.
To explore the causal relationships between sleep, major depressive disorder (MDD), and Alzheimer’s disease (AD).
Methods
We conducted bi-directional two-sample Mendelian randomisation analyses. Genetic associations were obtained from the largest genome-wide association studies currently available in UK Biobank (N=446,118), the Psychiatric Genomics Consortium (N=18,759), and the International Genomics of Alzheimer’s Project (N=63,926). We used the inverse variance weighted Mendelian randomisation method to estimate causal effects, and weighted median and MR-Egger for sensitivity analyses to test for pleiotropic effects.
Results
We found that higher risk of AD was significantly associated with being a “morning person” (odds ratio (OR)=1.01, P=0.001), shorter sleep duration (self-reported: β=-0.006, P=1.9×10-4; accelerometer-based: β=-0.015, P=6.9×10-5), less likely to report long sleep (β=-0.003, P=7.3×10-7), earlier timing of the least active 5 hours (β=-0.024, P=1.7×10-13), and a smaller number of sleep episodes (β=-0.025, P=5.7×10-14) after adjusting for multiple comparisons. We also found that higher risk of AD was associated with lower risk of insomnia (OR=0.99, P=7×10-13). However, we did not find evidence either that these abnormal sleep patterns were causally related to AD or for a significant causal relationship between MDD and risk of AD.
Conclusion
We found that AD may causally influence sleep patterns. However, we did not find evidence supporting a causal role of disturbed sleep patterns for AD or evidence for a causal relationship between MDD and AD.
Date Issued
2020-10-06
Date Acceptance
2020-04-23
Citation
Neurology, 2020, 95 (14)
ISSN
0028-3878
Publisher
American Academy of Neurology
Journal / Book Title
Neurology
Volume
95
Issue
14
Copyright Statement
© 2020 American Academy of Neurology.
Sponsor
Health Data Research Uk
Medical Research Council (MRC)
UK DRI Ltd
Medical Research Council (MRC)
UK DRI Ltd
UK DRI Ltd
Grant Number
Health Data Research UK
MR/L01341X/1
4050641385
HQR00720
N/A
N/A
Subjects
1103 Clinical Sciences
1109 Neurosciences
1702 Cognitive Sciences
Neurology & Neurosurgery
Publication Status
Published
Article Number
NEUROLOGY/2019/017517
Date Publish Online
2020-08-19