Bettens, Karolien

Cuyvers, Elise

De Deyn, Peter Paul

De Roeck, Arne

Engelborghs, Sebastiaan

Sleegers, Kristel

Struyfs, Hanne

Van Broeckhoven, Christine

Van Cauwenberghe, Caroline

Van Dongen, Jasper

Vandenberghe, Rik

Vandenbulcke, Mathieu

Verheijen, Jan

Vermeulen, Steven

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 (A\u3b2142, T-Tau, P-Tau181P). Results A GRS including all single nucleotide polymorphisms (SNPs) and age-specific APOE \u3b54 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 1215). Onset age and CSF A\u3b2142 decreased with increasing GRS (Ponset_age = 9.0e 1211; PA\u3b2 = 8.9e 127). 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

Institutional Repository Universiteit Antwerpen

A 22-single nucleotide polymorphism Alzheimer risk score correlates with family history, onset age, and cerebrospinal fluid <tex>A\beta_{42}$</tex>

A 22-single nucleotide polymorphism Alzheimer risk score correlates with family history, onset age, and cerebrospinal fluid <tex>A\beta_{42}$</tex>

Abstract

Similar works

Full text

Available Versions

Institutional Repository Universiteit Antwerpen