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

Author:

Lake Julie,Warly Solsberg CarolineORCID,Kim Jonggeol Jeffrey,Acosta-Uribe JulianaORCID,Makarious Mary B.,Li ZizhengORCID,Levine Kristin,Heutink PeterORCID,Alvarado Chelsea X.,Vitale Dan,Kang Sarang,Gim Jungsoo,Lee Kun HoORCID,Pina-Escudero Stefanie D.,Ferrucci LuigiORCID,Singleton Andrew B.,Blauwendraat CornelisORCID,Nalls Mike A.,Yokoyama Jennifer S.ORCID,Leonard Hampton L.ORCID

Abstract

AbstractGenome-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.

Funder

U.S. Department of Health & Human Services | NIH | National Institute on Aging

U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke

Alzheimer&rsqu;s Association

Publisher

Springer Science and Business Media LLC

Subject

Cellular and Molecular Neuroscience,Psychiatry and Mental health,Molecular Biology

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