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A 22‐single nucleotide polymorphism Alzheimer's disease risk score correlates with family history, onset age, and cerebrospinal fluid Aβ 42
Author(s) -
Sleegers Kristel,
Bettens Karolien,
De Roeck Arne,
Van Cauwenberghe Caroline,
Cuyvers Elise,
Verheijen Jan,
Struyfs Hanne,
Van Dongen Jasper,
Vermeulen Steven,
Engelborghs Sebastiaan,
Vandenbulcke Mathieu,
Vandenberghe Rik,
De Deyn Peter Paul,
Van Broeckhoven Christine
Publication year - 2015
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2015.02.013
Subject(s) - single nucleotide polymorphism , odds ratio , snp , apolipoprotein e , confidence interval , family history , oncology , medicine , genetic predisposition , disease , age of onset , polymorphism (computer science) , genotype , bioinformatics , genetics , biology , gene
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 (Aβ 1–42 , T‐Tau, P‐Tau 181P ). 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 2.08–2.58 per unit; P < 1.0e −15 ). Onset age and CSF Aβ 1–42 decreased with increasing GRS ( P onset_age = 9.0e −11 ; P Aβ = 8.9e −7 ). Discussion 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.