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Dataset Information

Analysis of the Genetic Comorbid Mechanisms of Type 2 Diabetes, Alzheimer's Disease, and Hypertension Using Network Modularization.


ABSTRACT:

Background

Type 2 diabetes mellitus (T2DM), Alzheimer's disease (AD), and hypertension (HTN) tend to be comorbidities and mutually influence each other; however, the mechanisms underlying their association remain unclear. This study was aimed at identifying genes associated with susceptibility to these three diseases and their mechanisms of action using integrated network modularization analysis.

Methods

The transcriptome data of T2DM, AD, and HTN were downloaded from the GEO database to identify the differentially expressed genes (DEGs), and the coexpression modules of each disease were detected by WGCNA. Z summary algorithm was used to identify the common modules of three diseases, and the driver genes of their comorbidity were identified by flow centrali

SUBMITTER: Tian S 

PROVIDER: S-EPMC12914336 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature