Integration of GWAS summary statistics with cell type‐specific eQTLs prioritizes potential causal genes for Alzheimer’s disease
Shiwei Liu, Yen‐Ning Huang, Tamina Park, Soumilee Chaudhuri, Min Young Cho, Thea Jacobson Rosewood, David A Bennett, Andrew J Saykin, Kwangsik Nho · 2025
Read Integration of GWAS summary statistics with cell type‐specific eQTLs prioritizes potential causal genes for Alzheimer’s disease by Shiwei Liu, Yen‐Ning Huang, Tamina Park, Soumilee Chaudhuri, Min Young Cho, Thea Jacobson Rosewood, David A Bennett, Andrew J Saykin, Kwangsik Nho (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11713105.txt.
Description
Shiwei Liu and co-authors marry gene studies to cell-level gene switches to name likely culprit genes in Alzheimer's disease, in a 2025 paper. Disease-linked DNA variants often act by tuning a gene's volume in one cell kind. The team combined five large Alzheimer's gene scans with switch data from single brain cell types, across two donor collections.
Two statistical methods, one borrowed from Mendelian randomization and one weighing shared signals, flagged genes whose tuning matches the disease pattern. Comparing cell-level with tissue-level data shows what coarse maps miss. The shortlist gives drug hunters named targets in named cells, a sharper start than a chromosome region.
Catalog record
| CREATOR | Shiwei Liu, Yen‐Ning Huang, Tamina Park, Soumilee Chaudhuri, Min Young Cho, Thea Jacobson Rosewood, David A Bennett, Andrew J Saykin, Kwangsik Nho |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 3 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |