Genetic determinants of obesity in Korean populations: exploring genome-wide associations and polygenic risk scores
DC Field | Value | Language |
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dc.contributor.author | Jo, Jinyeon | - |
dc.contributor.author | Ha,Nayoung | - |
dc.contributor.author | Ji, Yunmi | - |
dc.contributor.author | Do, , Ahra | - |
dc.contributor.author | Seo, Je Hyun | - |
dc.contributor.author | Oh, Bumjo | - |
dc.contributor.author | Choi, Sungkyoung | - |
dc.contributor.author | Choe, Eun Kyung | - |
dc.contributor.author | Lee, Woojoo | - |
dc.contributor.author | Son, Jang Won | - |
dc.contributor.author | Won, Sungho | - |
dc.date.accessioned | 2024-09-12T05:30:24Z | - |
dc.date.available | 2024-09-12T05:30:24Z | - |
dc.date.issued | 2024-08 | - |
dc.identifier.issn | 1467-5463 | - |
dc.identifier.issn | 1477-4054 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/120489 | - |
dc.description.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. | - |
dc.format.extent | 14 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Oxford University Press | - |
dc.title | Genetic determinants of obesity in Korean populations: exploring genome-wide associations and polygenic risk scores | - |
dc.type | Article | - |
dc.publisher.location | 영국 | - |
dc.identifier.doi | 10.1093/bib/bbae389 | - |
dc.identifier.scopusid | 2-s2.0-85202811491 | - |
dc.identifier.wosid | 001300096600001 | - |
dc.identifier.bibliographicCitation | Briefings in Bioinformatics, v.25, no.5, pp 1 - 14 | - |
dc.citation.title | Briefings in Bioinformatics | - |
dc.citation.volume | 25 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 14 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Biochemistry & Molecular Biology | - |
dc.relation.journalResearchArea | Mathematical & Computational Biology | - |
dc.relation.journalWebOfScienceCategory | Biochemical Research Methods | - |
dc.relation.journalWebOfScienceCategory | Mathematical & Computational Biology | - |
dc.subject.keywordPlus | BODY-MASS INDEX | - |
dc.subject.keywordPlus | METABOLICALLY HEALTHY OBESITY | - |
dc.subject.keywordPlus | METAANALYSIS | - |
dc.subject.keywordPlus | BIOBANK | - |
dc.subject.keywordPlus | PREDISPOSITION | - |
dc.subject.keywordPlus | OVERWEIGHT | - |
dc.subject.keywordPlus | REGRESSION | - |
dc.subject.keywordPlus | ADIPOSITY | - |
dc.subject.keywordPlus | INSIGHTS | - |
dc.subject.keywordPlus | PROJECT | - |
dc.subject.keywordAuthor | gene-based analysis | - |
dc.subject.keywordAuthor | GWAS | - |
dc.subject.keywordAuthor | metabolic healthy obesity | - |
dc.subject.keywordAuthor | obesity | - |
dc.subject.keywordAuthor | PRS | - |
dc.subject.keywordAuthor | subgroup heterogeneity | - |
dc.identifier.url | https://academic.oup.com/bib/article/25/5/bbae389/7745033?login=true | - |
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