Ontology highlight
ABSTRACT: Introduction
Our previously developed blood-based transcriptional risk scores (TRS) showed associations with diagnosis and neuroimaging biomarkers for Alzheimer's disease (AD). Here, we developed brain-based TRS.Methods
We integrated AD genome-wide association study summary and expression quantitative trait locus data to prioritize target genes using Mendelian randomization. We calculated TRS using brain transcriptome data of two independent cohorts (N = 878) and performed association analysis of TRS with diagnosis, amyloidopathy, tauopathy, and cognition. We compared AD classification performance of TRS with polygenic risk scores (PRS).Results
Higher TRS values were significantly associated with AD, amyloidopathy, tauopathy, worse cognition, and faster cognitive de
SUBMITTER: Pyun JM
PROVIDER: S-EPMC10840812 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature