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Dataset Information

A meta-analysis of genome-wide gene expression differences identifies promising targets for type 2 diabetes mellitus.


ABSTRACT:

Aims/introduction

Due to the heterogeneous nature of type 2 diabetes mellitus and its complex effects on hemodynamics, there is a need to identify new candidate markers which are involved in the development of type 2 diabetes mellitus (DM) and can serve as potential targets. As the global diabetes prevalence in 2019 was estimated as 9.3% (463 million people), rising to 10.2% (578 million) by 2030 and 10.9% (700 million) by 2045, the need to limit this rapid prevalence is of concern. The study aims to identify the possible biomarkers of type 2 diabetes mellitus with the help of the system biology approach using R programming.

Materials and methods

Several target proteins that were found to be associated with the source genes were further curated for their role in type 2 diabe

SUBMITTER: Huang T 

PROVIDER: S-EPMC9424486 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature