Polygenic Score Approach to Predicting Risk of Metabolic Syndrome.

ABSTRACT:

Background/objectives

Metabolic syndrome (MetS) is a complex condition linking obesity, diabetes, and hypertension, representing a major challenge in clinical care. Its rising global prevalence, driven by urbanization, sedentary lifestyles, and dietary changes, underscores the need for effective management. This study aims to explore the genetic mechanisms behind MetS, including adiposity, inflammation, neurotransmitters, and β-cell function, to develop a prognostic tool for MetS risk.

Methods

We genotyped 40 genetic variants across these pathways in 279 MetS patients and 397 healthy individuals. Using logistic regression, we evaluated the prognostic capability of a polygenic score model for MetS risk, both independently and with other factors like sex and age.

Results

SUBMITTER: Timasheva Y 

PROVIDER: S-EPMC11764775 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature