Multipartite network analysis to identify environmental and genetic associations of metabolic syndrome in the Korean population.

ABSTRACT: Network analysis has become a crucial tool in genetic research, enabling the exploration of associations between genes and diseases. Its utility extends beyond genetics to include the assessment of environmental factors. Unipartite network analysis is commonly used in genomics to visualize initial insights and relationships among variables. Syndromic diseases, such as metabolic syndrome, are characterized by the simultaneous occurrence of various signs, symptoms, and clinicopathological features. Metabolic syndrome encompasses hypertension, diabetes, obesity, and dyslipidemia, and both genetic and environmental factors contribute to its development. Given that relevant data often consist of distinct sets of variables, a more intuitive visualization method is needed. This study applied mult

SUBMITTER: Shin JE 

PROVIDER: S-EPMC11366034 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature