Quantifying Personalized Shift-Work Molecular Portraits Underlying Alzheimer's Disease through Computational Biology.

ABSTRACT:

Background

Shift work, the proven circadian rhythm-disrupting behavior, has been linked to the increased risk of Alzheimer's disease (AD). However, the putative causal effect and potential mechanisms of shift work for AD were still unclear.

Methods

Mendelian randomization (MR) analysis was performed to discover the putative causal effect of shift work for AD. Expression quantitative trait loci (eQTLs) and transcriptome data were integrated to identify genes causally associated with AD from circadian-related genes. An in vitro experiment was also conducted to validate the expression of target genes. Based on the identified genes, a novel integrative program and 4,077 samples from 16 microarray datasets were leveraged to assess the extent of circadian rhythm disruption (CRD),

SUBMITTER: Xu Y 

PROVIDER: S-EPMC11573866 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature