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Related Experiment Video

Updated: Jun 17, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Sleep and dementia: Assessing established dementia-related factors using multivariable Mendelian randomization.

Yunyun Guo^1,2, Rui Wang^3,4,5, Shireen Sindi^1,3

¹The Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association

|June 15, 2026

Summary

Insomnia is linked to increased Alzheimer's disease risk, but this connection is indirect. Factors like education and cholesterol levels may mediate the relationship between sleep and dementia.

Keywords:

Causal inference Mendelian randomization dementia sleepiness

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Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

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Last Updated: Jun 17, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

Area of Science:

Neuroscience
Genetics
Epidemiology

Background:

The interplay between sleep disturbances, dementia risk factors, and dementia incidence requires further elucidation.
Investigating these complex relationships is crucial for developing effective dementia prevention strategies.

Purpose of the Study:

To explore the associations between sleep characteristics and dementia risk using a robust two-sample Mendelian randomization (MR) approach.
To investigate the potential mediating roles of other dementia risk factors in the sleep-dementia association.

Main Methods:

Utilized UK Biobank for sleep characteristic genetic data and FinnGen consortium for dementia outcome genetic association data.
Applied inverse-variance weighted (IVW) MR to assess sleep-dementia links.
Employed multivariable MR to adjust for confounding factors like education and LDL cholesterol.

Main Results:

Genetic predisposition to insomnia showed a significant association with elevated Alzheimer's disease (AD) risk (OR=3.02, p=0.01).
This association was substantially reduced after accounting for the influence of education and low-density lipoprotein (LDL) levels.

Conclusions:

The link between insomnia and AD is not direct but is potentially mediated by social-behavioral factors (e.g., education) and biological pathways (e.g., LDL cholesterol).
These findings highlight the complex, multifactorial nature of Alzheimer's disease etiology.