Cell-type-aware transcriptome-wide association studies identify 91 independent risk genes for Alzheimer’s disease dementia

Most existing transcriptome wide association studies (TWASs) of Alzheimer's Disease (AD) dementia only use bulk RNA-seq data and a single statistical method. Here, we utilize an omnibus TWAS (TWAS-O) pipeline that leverages multiple complementary statistical methods to integrate the snRNA-seq dataset (n = 415) of the dorsolateral prefrontal cortex (DLPFC) and the latest GWAS data of AD dementia. We fine-map TWAS risk genes by gene-based conditional analysis and conducted validation analyses by the analogous omnibus proteome-wide association studies (PWAS-O) using bulk proteomics data of DLPFC (n = 716). We identify 223 unique cell-type-aware TWAS risk genes from 350 associations across six major brain cell-types, including 91 fine-mapped independent associations, 11 of which are novel. By PWAS-O, we identify 21 significant PWAS risk genes, including 13 independent associations, which validated 31.9% independent cell-type-aware TWAS associations. By protein-protein interaction network analyses, our novel cell-type-aware TWAS findings are linked to established AD risk genes such as APOE, BIN1, and MAPT.

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Publication Details

Journal
Communications Biology
Published
2026-04-22
DOI
https://doi.org/10.1038/s42003-026-10030-4
Primary Topic
Alzheimer's disease research and treatments
Type
article
Field-Weighted Citation Impact
0.00

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article

Cell-type-aware transcriptome-wide association studies identify 91 independent risk genes for Alzheimer’s disease dementia

Shizhen Tang, Randy L. Parrish, Shinya Tasaki, Vilas Menon et al.
Communications Biology
Alzheimer's disease research and treatments
article

Cell-type-aware transcriptome-wide association studies identify 91 independent risk genes for Alzheimer’s disease dementia

Shizhen Tang, Randy L. Parrish, Shinya Tasaki, Vilas Menon, Aron S. Buchman, Nicholas T. Seyfried, Jingjing Yang, Philip L. De Jager, Qiang Liu, David A. Bennett
article en

Abstract

Most existing transcriptome wide association studies (TWASs) of Alzheimer's Disease (AD) dementia only use bulk RNA-seq data and a single statistical method. Here, we utilize an omnibus TWAS (TWAS-O) pipeline that leverages multiple complementary statistical methods to integrate the snRNA-seq dataset (n = 415) of the dorsolateral prefrontal cortex (DLPFC) and the latest GWAS data of AD dementia. We fine-map TWAS risk genes by gene-based conditional analysis and conducted validation analyses by the analogous omnibus proteome-wide association studies (PWAS-O) using bulk proteomics data of DLPFC (n = 716). We identify 223 unique cell-type-aware TWAS risk genes from 350 associations across six major brain cell-types, including 91 fine-mapped independent associations, 11 of which are novel. By PWAS-O, we identify 21 significant PWAS risk genes, including 13 independent associations, which validated 31.9% independent cell-type-aware TWAS associations. By protein-protein interaction network analyses, our novel cell-type-aware TWAS findings are linked to established AD risk genes such as APOE, BIN1, and MAPT.

Communications Biology
Rush University Medical Center (US), Emory University (US), Columbia University (US)
National Institute on Aging, National Institute of General Medical Sciences
Openalex Percentile: Top 10%
Alzheimer's disease research and treatments
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