Identification of shared genetic risks underlying metabolic syndrome and its related traits in the Korean population.

ABSTRACT: Introduction: Observational studies have demonstrated strong correlations between metabolic syndrome (MetS) and its related traits. To gain insight into the genetic architecture and molecular mechanism of MetS, we investigated the shared genetic basis of MetS and its related traits and further tested their causal relationships. Methods: Using summary statistics from genome-wide association analyses of about 72,000 subjects from the Korean Genome and Epidemiological Study (KoGES), we conducted genome-wide multi-trait analyses to quantify the overall genetic correlation and Mendelian randomization analyses to infer the causal relationships between traits of interest. Results: Genetic correlation analyses revealed a significant correlation of MetS with its related traits,

SUBMITTER: Kim JY 

PROVIDER: S-EPMC11266026 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature