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Genetic determinants of obesity in Korean populations: exploring genome-wide associations and polygenic risk scoresopen access

Authors
Jo, JinyeonHa,NayoungJi, YunmiDo, , AhraSeo, Je HyunOh, BumjoChoi, SungkyoungChoe, Eun KyungLee, WoojooSon, Jang WonWon, Sungho
Issue Date
Aug-2024
Publisher
Oxford University Press
Keywords
gene-based analysis; GWAS; metabolic healthy obesity; obesity; PRS; subgroup heterogeneity
Citation
Briefings in Bioinformatics, v.25, no.5, pp 1 - 14
Pages
14
Indexed
SCIE
SCOPUS
Journal Title
Briefings in Bioinformatics
Volume
25
Number
5
Start Page
1
End Page
14
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/120489
DOI
10.1093/bib/bbae389
ISSN
1467-5463
1477-4054
Abstract
East Asian populations exhibit a genetic predisposition to obesity, yet comprehensive research on these traits is limited. We conducted a genome-wide association study (GWAS) with 93,673 Korean subjects to uncover novel genetic loci linked to obesity, examining metrics such as body mass index, waist circumference, body fat ratio, and abdominal fat ratio. Participants were categorized into non-obese, metabolically healthy obese (MHO), and metabolically unhealthy obese (MUO) groups. Using advanced computational methods, we developed a multifaceted polygenic risk scores (PRS) model to predict obesity. Our GWAS identified significant genetic effects with distinct sizes and directions within the MHO and MUO groups compared with the non-obese group. Gene-based and gene-set analyses, along with cluster analysis, revealed heterogeneous patterns of significant genes on chromosomes 3 (MUO group) and 11 (MHO group). In analyses targeting genetic predisposition differences based on metabolic health, odds ratios of high PRS compared with medium PRS showed significant differences between non-obese and MUO, and non-obese and MHO. Similar patterns were seen for low PRS compared with medium PRS. These findings were supported by the estimated genetic correlation (0.89 from bivariate GREML). Regional analyses highlighted significant local genetic correlations on chromosome 11, while single variant approaches suggested widespread pleiotropic effects, especially on chromosome 11. In conclusion, our study identifies specific genetic loci and risks associated with obesity in the Korean population, emphasizing the heterogeneous genetic factors contributing to MHO and MUO. © The Author(s) 2024.
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ERICA 소프트웨어융합대학 (ERICA 수리데이터사이언스학과)
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