Biomarker identification for Alzheimer's disease through integration of comprehensive Mendelian randomization and proteomics data.

ABSTRACT:

Background

Alzheimer's disease (AD) is the main cause of dementia with few effective therapies. We aimed to identify potential plasma biomarkers or drug targets for AD by investigating the causal association between plasma proteins and AD by integrating comprehensive Mendelian randomization (MR) and multi-omics data.

Methods

Using two-sample MR, cis protein quantitative trait loci (cis-pQTLs) for 1,916 plasma proteins were used as an exposure to infer their causal effect on AD liability in individuals of European ancestry, with two large-scale AD genome-wide association study (GWAS) datasets as the outcome for discovery and replication. Significant causal relationships were validated by sensitivity analyses, reverse MR analysis, and Bayesian colocalization analysis. Addition

SUBMITTER: Zhan H 

PROVIDER: S-EPMC11884171 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature