Integrative analysis of multi-omics data to detect the underlying molecular mechanisms for obesity in vivo in humans.

ABSTRACT:

Background

Obesity is a complex, multifactorial condition in which genetic play an important role. Most of the systematic studies currently focuses on individual omics aspect and provide insightful yet limited knowledge about the comprehensive and complex crosstalk between various omics levels.

Subjects and methods

Therefore, we performed a most comprehensive trans-omics study with various omics data from 104 subjects, to identify interactions/networks and particularly causal regulatory relationships within and especially those between omic molecules with the purpose to discover molecular genetic mechanisms underlying obesity etiology in vivo in humans.

Results

By applying differentially analysis, we identified 8 differentially expressed hub genes (DEHGs), 14 differen

SUBMITTER: Zhang Q 

PROVIDER: S-EPMC9107154 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature