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Association of Multiple Trait Polygenic Risk Score with Obesity and Cardiometabolic Diseases in Korean population

Jo, J.; Ha, N.; Ji, Y.; Do, A.; Seo, J. H.; Oh, B.; Choi, S.; Choe, E. K.; Lee, W.; Son, J. W.; Won, S.

2025-04-16 endocrinology
10.1101/2025.04.13.25325699 medRxiv
Show abstract

We conducted a comprehensive genetic investigation of obesity in a cohort of 93,673 Korean individuals, categorized by both body mass index and waist circumference using Korean-specific and international criteria. To explore the genetic architecture of obesity and its comorbidities, we performed genome-wide association studies and constructed polygenic risk scores (PRSs) using both conventional single trait and advanced multiple-trait models, including the PRSsum approach. Our analyses identified genome-wide significant loci and demonstrated higher heritability for general obesity than abdominal obesity, and for moderate compared to severe obesity. Notably, East Asian populations showed stronger genetic correlations between abdominal obesity and obesity-related diseases. Both single trait and multiple trait PRSs stratified individuals by risk, with low PRS individuals exhibiting reduced risk for obesity, hypertension, and type 2 diabetes, while high PRS individuals displayed elevated risk, particularly under the multiple trait model. Additionally, interaction and mediation analyses revealed distinct genetic pathways through which obesity contributes to disease development. Collectively, our findings uncover key loci and shared genetic mechanisms linking obesity and its comorbidities in the Korean population. These insights highlight the value of multiple trait PRS models and underscore the importance of ancestry-specific genetic research for addressing the obesity epidemic.

Published in Genomics, Proteomics & Bioinformatics · not in our set (fewer than 10 published preprints to learn from) · training set

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