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Multi-ancestry meta-analysis and fine-mapping in Alzheimer’s Disease

Authors :
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 D. Pina-Escudero
Luigi Ferrucci
Andrew B. Singleton
Cornelis Blauwendraat
Mike A. Nalls
Jennifer S. Yokoyama
Hampton L. Leonard
Publication Year :
2022
Publisher :
Cold Spring Harbor Laboratory, 2022.

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.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....fc8e2492185dcec9972e32da28fa4ee6
Full Text :
https://doi.org/10.1101/2022.08.04.22278442