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Dataset Information

Identification of candidate genes associated with clinical onset of Alzheimer's disease.


ABSTRACT:

Background and objective

Alzheimer's disease (AD) is the most common type of dementia, with its pathology like beta-amyloid and phosphorylated tau beginning several years before the clinical onset. The aim is to identify genetic risk factors associated with the onset of AD.

Methods

We collected three microarray data of post-mortem brains of AD patients and the healthy from the GEO database and screened differentially expressed genes between AD and healthy control. GO/KEGG analysis was applied to identify AD-related pathways. Then we distinguished differential expressed genes between symptomatic and asymptomatic AD. Feature importance with logistic regression analysis is adopted to identify the most critical genes with symptomatic AD.

Results

Data was collected from th

SUBMITTER: Liao W 

PROVIDER: S-EPMC9808086 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature