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Jun-Ho Cha

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Open access Sep 2026

Multivariate Genome-Wide Association Analysis Identifies Genetic Susceptibility Loci for Metabolic Syndrome in the Korean Genome and Epidemiology Study

It is demonstrated that multivariate analysis substantially improves the identification of pleiotropic susceptibility loci for MetS in the Korean population and indicates candidate genes for early detection and management.

Dasom Kim, Jun-Ho Cha, Sungkyoung Choi · 0 citations

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