Publication
Title
A 22-single nucleotide polymorphism Alzheimer risk score correlates with family history, onset age, and cerebrospinal fluid
Author
Institution/Organisation
BELNEU Consortium
Abstract
Background The ability to identify individuals at increased genetic risk for Alzheimer's disease (AD) may streamline biomarker and drug trials and aid clinical and personal decision making. Methods We evaluated the discriminative ability of a genetic risk score (GRS) covering 22 published genetic risk loci for AD in 1162 Flanders-Belgian AD patients and 1019 controls and assessed correlations with family history, onset age, and cerebrospinal fluid (CSF) biomarkers (Aβ142, T-Tau, P-Tau181P). Results A GRS including all single nucleotide polymorphisms (SNPs) and age-specific APOE ε4 weights reached area under the curve (AUC) 0.70, which increased to AUC 0.78 for patients with familial predisposition. Risk of AD increased with GRS (odds ratio, 2.32 (95% confidence interval 2.082.58 per unit; P < 1.0e−15). Onset age and CSF Aβ142 decreased with increasing GRS (Ponset_age = 9.0e−11; PAβ = 8.9e−7). Conclusions The discriminative ability of this 22-SNP GRS is still limited, but these data illustrate that incorporation of age-specific weights improves discriminative ability. GRS-phenotype correlations highlight the feasibility of identifying individuals at highest susceptibility.
Language
English
Source (journal)
Alzheimer's & dementia / Alzheimer’s Association [Chicago, Ill.] - Orlando, Fla, 2005, currens
Publication
Orlando, Fla : Elsevier , 2015
ISSN
1552-5260 [print]
1552-5279 [online]
DOI
10.1016/J.JALZ.2015.02.013
Volume/pages
11 :12 (2015) , p. 1452-1460
ISI
000366721600006
Pubmed ID
26086184
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
An integrated approach towards understanding the pathogenesis of neurodegeneration (NEUROBRAINNET).
Molecular epidemiological approaches in a translational study of complex Alzheimer dementia.
Biomarker based adaptive development in Alzheimer (BioAdaptAD).
European Medical Information Framework (EMIF).
Genetic risk factors for Alzheimers's disease: a search for pathomechanisms.
Population-based next generation sequencing to elucidate the complex genetics of Alzheimer dementia.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 03.09.2015
Last edited 09.10.2023
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