2 research outputs found
Evaluation of a Genetic Risk Score to Improve Risk Prediction for Alzheimer's Disease
Effective prevention of Alzheimer's disease (AD) requires the development of risk prediction tools permitting preclinical intervention. We constructed a genetic risk score (GRS) comprising common genetic variants associated with AD, evaluated its association with incident AD and assessed its capacity to improve risk prediction over traditional models based on age, sex, education, and APOE 系4. In eight prospective cohorts included in the International Genomics of Alzheimer's Project (IGAP), we derived weighted sum of risk alleles from the 19 top SNPs reported by the IGAP GWAS in participants aged 65 and older without prevalent dementia. Hazard ratios (HR) of incident AD were estimated in Cox models. Improvement in risk prediction was measured by the difference in C-index (螖-C), the integrated discrimination improvement (IDI) and continuous net reclassification improvement (NRI>0). Overall, 19,687 participants at risk were included, of whom 2,782 developed AD. The GRS was associated with a 17 increase in AD risk (pooled HR=1.17; 95 CI= [1.13-1.21] per standard deviation increase in GRS; p-value= 2.86脳10-16). This association was stronger among persons with at least one APOE 系4 allele (HRGRS=1.24; 95 CI= [1.15-1.34]) than in others (HRGRS=1.13; 95 CI= [1.08-1.18]; pinteraction=3.45脳10-2). Risk prediction after seven years of follow-up showed a small improvement when adding the GRS to age, sex, APOE 系4, and education (螖-Cindex= 0.0043 [0.0019-0.0067]). Similar patterns were observed for IDI and NRI>0. In conclusion, a risk score incorporating common genetic variation outside the APOE 系4 locus improved AD risk prediction and may facilitate risk stratification for prevention trials