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Multi-ancestry Transcriptome-Wide Association Study Reveals Shared and Population-Specific Genetic Effects in Alzheimer's Disease

Created on 06 Nov 2025

Authors

Sun, X., Mews, M., Wheeler, N. R., Benchek, P., Gu, T., Gomez, L., Ray, N., Reitz, C., Naj, A. C., Below, J. E., Tosto, G., Cornejo-Olivas, M., Byrd, G. S., Feliciano-Astacio, B. E., Celis, K., Rajabli, F., Kunkle, B. W., Pericak-Vance, M. A., Haines, J. L., Griswold, A. J., Bush, W. S.

Abstract

Alzheimer's disease (AD) risk differs across ancestral populations, yet most genetic studies have focused on Non-Hispanic White (NHW) cohorts. We conducted a multi-population transcriptom-wide association study (TWAS) using whole-blood RNA-seq and genotype data from reported NHW (n=235), African American (AA; n=224), and Hispanic (HISP; n=292) participants in MAGENTA. Using SuShiE for multi-population fine-mapping, we identified credible sets of eQTLs for 8,748 genes and improved fine-mapping precision relative to analyses using fewer populations. eQTL effects were largely shared across populations, with population-specific regulation for a subset of genes. Population-stratified TWAS and sample size-weighted meta-analysis (FUSION + MAFOCUS) prioritized and and fine-mapped nine genes (FDR<0.05, PIP>0.8), including established AD loci (BIN1, PTK2B, DMPK) with consistent effects across populations. Importantly, at BIN1 we fine-mapped regulatory variants associated with gene expression and AD risk beyond the GWAS index SNP--most notably rs11682128, which is only in modest LD with rs6733839 (r^2{approx}0.34)--demonstrating that multi-population TWAS can implicate additional functional variants not captured by single-SNP GWAS signals. We also discovered a novel association between COG4 expression and AD in NHW, implicating Golgi apparatus function. Using independent SuShiE-derived models from TOPMed MESA (PBMC), several associations replicated directionally across ancestries, with statistical significance most evident in NHW. Our results show that multi-population fine-mapping improves eQTL resolution and TWAS interpretability, reveals regulatory variants beyond GWAS index SNPs, and underscores the need to expand non-European AD cohorts to resolve shared and population-specific mechanisms.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 06 Nov 2025.

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