The identification of hub-methylated differentially expressed genes in osteoarthritis patients is based on epigenomic and transcriptomic data.

ABSTRACT:

Introduction

Osteoarthritis (OA) refers to a commonly seen degenerative joint disorder and a major global public health burden. According to the existing literature, osteoarthritis is related to epigenetic changes, which are important for diagnosing and treating the disease early. Through early targeted treatment, costly treatments and poor prognosis caused by advanced osteoarthritis can be avoided.

Methods

This study combined gene differential expression analysis and weighted gene co-expression network analysis (WGCNA) of the transcriptome with epigenome microarray data to discover the hub gene of OA. We obtained 2 microarray datasets (GSE114007, GSE73626) in Gene Expression Omnibus (GEO). The R software was utilized for identifying differentially expressed genes (DEGs) and

SUBMITTER: Chu ZC 

PROVIDER: S-EPMC10351907 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature