Unknown

Dataset Information

Proteome and genome integration analysis of obesity.


ABSTRACT:

Abstract

The prevalence of obesity has increased worldwide in recent decades. Genetic factors are now known to play a substantial role in the predisposition to obesity and may contribute up to 70% of the risk for obesity. Technological advancements during the last decades have allowed the identification of many hundreds of genetic markers associated with obesity. However, the transformation of current genetic variant-obesity associations into biological knowledge has been proven challenging. Genomics and proteomics are complementary fields, as proteomics extends functional analyses. Integrating genomic and proteomic data can help to bridge a gap in knowledge regarding genetic variant-obesity associations and to identify new drug targets for the treatment of obesity. We provide an o

SUBMITTER: Zhao Q 

PROVIDER: S-EPMC10278747 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature