Multi-ancestry meta-analysis and fine-mapping in Alzheimer’s disease
Julie Lake, Caroline Warly Solsberg, Jonggeol Jeffrey Kim, Juliana Acosta‐Uribe, Mary B. Makarious, Zizheng Li, Kristin Levine, Peter Heutink, Chelsea X. Alvarado, Dan Vitale, Sarang Kang, Jungsoo Gim, Kun Ho Lee, Stefanie Danielle Piña‐Escudero, Luigi Ferrucci, Andrew Singleton, Cornelis Blauwendraat, Mike A. Nalls, Jennifer S. Yokoyama, Hampton L. Leonard
Abstract
Genome-wide association studies (GWAS) of Alzheimer's disease are predominantly carried out in European ancestry individuals despite the known variation in genetic architecture and disease prevalence across global populations. We leveraged published GWAS summary statistics from European, East Asian, and African American populations, and an additional GWAS from a Caribbean Hispanic population using previously reported genotype data to perform the largest multi-ancestry GWAS meta-analysis of Alzheimer's disease and related dementias to date. This method allowed us to identify two independent novel disease-associated loci on chromosome 3. We also leveraged diverse haplotype structures to fine-map nine loci with a posterior probability >0.8 and globally assessed the heterogeneity of known risk factors across populations. Additionally, we compared the generalizability of multi-ancestry- and single-ancestry-derived polygenic risk scores in a three-way admixed Colombian population. Our findings highlight the importance of multi-ancestry representation in uncovering and understanding putative factors that contribute to risk of Alzheimer's disease and related dementias.