Association of Multiple-trait Polygenic Risk Score with Obesity and Cardiometabolic Diseases in Korean Population

We conducted a comprehensive genetic investigation of obesity in a cohort of 93,673 Korean individuals, categorized by body mass index and waist circumference using Korean-specific and international criteria. To explore the genetic architecture of obesity and its related 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 their higher heritability for general obesity than for abdominal obesity, and for moderate obesity than for severe obesity. 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. Interaction and mediation analyses revealed distinct genetic pathways through which obesity contributes to disease development. Collectively, our findings revealed 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.

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Publication Details

Journal
Genomics Proteomics & Bioinformatics
Published
2025-10-01
DOI
https://doi.org/10.1093/gpbjnl/qzaf102
Citations
1
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
1.82

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article

Association of Multiple-trait Polygenic Risk Score with Obesity and Cardiometabolic Diseases in Korean Population

Jinyeon Jo, Woojoo Lee, Bumjo Oh, Ah Ra et al.
1 citations
Genomics Proteomics & Bioinformatics
Genetic Associations and Epidemiology
1.82
article

Association of Multiple-trait Polygenic Risk Score with Obesity and Cardiometabolic Diseases in Korean Population

Jinyeon Jo, Woojoo Lee, Bumjo Oh, Ah Ra, Eun Kyung Choe, Je Hyun Seo, Sungho Won, Sungkyoung Choi, Jang Won Son, Na-Young Ha, Yunmi Ji
article en
1 citations

Abstract

We conducted a comprehensive genetic investigation of obesity in a cohort of 93,673 Korean individuals, categorized by body mass index and waist circumference using Korean-specific and international criteria. To explore the genetic architecture of obesity and its related 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 their higher heritability for general obesity than for abdominal obesity, and for moderate obesity than for severe obesity. 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. Interaction and mediation analyses revealed distinct genetic pathways through which obesity contributes to disease development. Collectively, our findings revealed 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.

Genomics Proteomics & BioinformaticsVol. 23(5)
Seoul National University (KR), Seoul Metropolitan Government (KR), New Generation University College (ET), Seoul National University Hospital (KR), SNUH SMG-SNU Boramae Medical Center (KR), Veterans Health Service Medical Center (KR), The Catholic University of Korea Bucheon St. Mary's Hospital (KR), NCSOFT (South Korea) (KR), Department of Public (IN), IDEX Corporation (United States) (US), Hanyang University (KR), Anyang University (KR)
Korea Disease Control and Prevention Agency, National Research Foundation, Korea Institute of Science and Technology Information, Korea Health Industry Development Institute, National Research Foundation of Korea, Ministry of Science and ICT, South Korea, National Supercomputing Center, Korea Institute of Science and Technology Information
Openalex Percentile: Top 11%
Genetic Associations and Epidemiology
1.82
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