2020
DOI: 10.1002/ana.25910
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Genetic Risk of Alzheimer's Disease and Sleep Duration in Non‐Demented Elders

Abstract: Growing evidence has suggested an association between sleep duration and Alzheimer's disease (AD), but it is unclear if sleep duration is a manifestation of the AD disease process. We studied whether genetic liability for AD predicts sleep duration using a genetic risk score (GRS) for AD (AD‐GRS), in 406,536 UK Biobank participants with European ancestry and without dementia at enrollment. Higher AD‐GRS score was associated with shorter sleep (b = −0.014, 95% confidence interval [CI] = −0.022 to −0.006), espec… Show more

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Cited by 38 publications
(38 citation statements)
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“…This factor might reflect only an apparent protective effect of these factors on AD due to premature mortality and survival bias [35][36][37], or could simply reflect a clustering of these traits independent of AD. Factor 3 included positive loadings for AD and a subset of risk factors that have complex relationships with AD in that they have all been hypothesised to be disease prodromes as well as causal risk factors [6][7][8][9]38]. Moreover, systolic blood pressure negatively loaded onto this factor, and whereas risk of dementia is associated with higher blood pressure in mid-life, blood pressure declines during the period prior to cognitive symptoms and dementia diagnosis [39][40][41][42].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…This factor might reflect only an apparent protective effect of these factors on AD due to premature mortality and survival bias [35][36][37], or could simply reflect a clustering of these traits independent of AD. Factor 3 included positive loadings for AD and a subset of risk factors that have complex relationships with AD in that they have all been hypothesised to be disease prodromes as well as causal risk factors [6][7][8][9]38]. Moreover, systolic blood pressure negatively loaded onto this factor, and whereas risk of dementia is associated with higher blood pressure in mid-life, blood pressure declines during the period prior to cognitive symptoms and dementia diagnosis [39][40][41][42].…”
Section: Discussionmentioning
confidence: 99%
“…However, the mechanisms by which these factors influence dementia risk, and whether they are truly causal, remain incompletely understood. Some factors such as sleep disturbance, social isolation, depression and hearing difficulty could, at least partly, serve as prodromal risk markers rather than causal risk factors [6][7][8][9]. An improved understanding of the causal pathways to clinical dementia development is urgently needed to support prevention efforts through the prioritisation of targets for intervention studies.…”
Section: Introductionmentioning
confidence: 99%
“…AD currently affects more than 40 million people worldwide, and patients suffer from varying degrees of cognitive decline and severe memory impairment [72]. Researchers have been committed to understanding the pathological process of Alzheimer's disease and developing effective drugs [73,74]. Mutations in the amyloid-β precursor protein (APP) [75] and presenilin (PS) 1 genes [76] have been found to contribute to familial AD (FAD).…”
Section: Modeling Human Neurodegenerative Diseasesmentioning
confidence: 99%
“…PD is characterized by the loss of dopamine in the substantia nigra and the dysregulation of fine motor control localized in the basal ganglia, which leads to the clinical parkinsonian symptoms, including bradykinesia, muscular rigidity, and resting tremors [82]. The LRRK2 G2019S gene mutation was reported to be associated with the progressive loss of dopamine neurons in the PD pathological process [73]. Recently, Kim et al generated 3D midbrain organoids derived from iPSCs with the LRRK2 G2019S mutation to gain a deeper understanding of the role of the LRRK2 mutation in the pathogenic mechanisms of PD [69].…”
Section: Modeling Human Neurodegenerative Diseasesmentioning
confidence: 99%
“…In our second case study, we evaluate the possibility of reverse causation. We use an instrumental variable to study the association between episodic memory as the predictor and neighborhood greenness as the outcome, modeled after a similar method employed in prior studies [ 65 , 66 , 67 ]. Data came from 243 participants from the University of California, Davis Alzheimer’s Disease Research Center (ADRC) in Northern California.…”
Section: Case Studiesmentioning
confidence: 99%