Cognitive Decline in Alzheimer's Disease Is Not Associated with APOE.


Journal

Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863

Informations de publication

Date de publication:
2021
Historique:
pubmed: 7 9 2021
medline: 5 1 2022
entrez: 6 9 2021
Statut: ppublish

Résumé

The rate of cognitive decline in Alzheimer's disease (AD) has been found to vary widely between individuals, with numerous factors driving this heterogeneity. This study aimed to compute a measure of cognitive decline in patients with AD based on clinical information and to utilize this measure to explore the genetic architecture of cognitive decline in AD. An in-house cohort of 616 individuals, hereby termed the Cardiff Genetic Resource for AD, as well as a subset of 577 individuals from the publicly available ADNI dataset, that have been assessed at multiple timepoints, were used in this study. Measures of cognitive decline were computed using various mixed effect linear models of Mini-Mental State Examination (MMSE). After an optimal model was selected, a metric of cognitive decline for each individual was estimated as the random slope derived from this model. This metric was subsequently used for testing the association of cognitive decline with apolipoprotein E (APOE) genotype. No association was found between the number of APOEɛ2 or ɛ4 alleles and the rate of cognitive decline in either of the datasets examined. Further exploration is required to uncover possible genetic variants that affect the rate of decline in patients with AD.

Sections du résumé

BACKGROUND
The rate of cognitive decline in Alzheimer's disease (AD) has been found to vary widely between individuals, with numerous factors driving this heterogeneity.
OBJECTIVE
This study aimed to compute a measure of cognitive decline in patients with AD based on clinical information and to utilize this measure to explore the genetic architecture of cognitive decline in AD.
METHODS
An in-house cohort of 616 individuals, hereby termed the Cardiff Genetic Resource for AD, as well as a subset of 577 individuals from the publicly available ADNI dataset, that have been assessed at multiple timepoints, were used in this study. Measures of cognitive decline were computed using various mixed effect linear models of Mini-Mental State Examination (MMSE). After an optimal model was selected, a metric of cognitive decline for each individual was estimated as the random slope derived from this model. This metric was subsequently used for testing the association of cognitive decline with apolipoprotein E (APOE) genotype.
RESULTS
No association was found between the number of APOEɛ2 or ɛ4 alleles and the rate of cognitive decline in either of the datasets examined.
CONCLUSION
Further exploration is required to uncover possible genetic variants that affect the rate of decline in patients with AD.

Identifiants

pubmed: 34487047
pii: JAD210685
doi: 10.3233/JAD-210685
doi:

Substances chimiques

Apolipoproteins E 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

141-149

Subventions

Organisme : Medical Research Council
ID : G0801418
Pays : United Kingdom
Organisme : NIA NIH HHS
ID : U01 AG024904
Pays : United States
Organisme : Medical Research Council
ID : MR/K013041/1
Pays : United Kingdom
Organisme : CIHR
Pays : Canada
Organisme : Medical Research Council
ID : MR/T04604X/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : G0300429
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/L501517/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/L010305/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_17112
Pays : United Kingdom
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Medical Research Council
ID : G0902227
Pays : United Kingdom

Auteurs

Ioanna Katzourou (I)

UK Dementia Research Institute, Cardiff University, Cardiff, UK.

Ganna Leonenko (G)

UK Dementia Research Institute, Cardiff University, Cardiff, UK.

Dobril Ivanov (D)

UK Dementia Research Institute, Cardiff University, Cardiff, UK.

Alun Meggy (A)

Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK.

Rachel Marshall (R)

Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK.

Rebecca Sims (R)

Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK.

Julie Williams (J)

UK Dementia Research Institute, Cardiff University, Cardiff, UK.

Peter Holmans (P)

Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK.

Valentina Escott-Price (V)

UK Dementia Research Institute, Cardiff University, Cardiff, UK.

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Classifications MeSH