ArticleInternational journal of molecular sciences2023
Development of a Polygenic Risk Score for BMI to Assess the Genetic Susceptibility to Obesity and Related Diseases in the Korean Population.
Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- Obesity-induced cognitive impairment: Underlying mechanisms and therapeutic prospects.Metabolism open · 2026Review
- Molecular Diagnostics Based on a Metabolite Risk Score Constructed Using Bilirubin and Oleic Acid in Korean Individuals with Obesity.Biomedicines · 2026Article
- Genetic risk of chronic pain conditions associated with risk of suicide death through an integrative analysis of EHR and genomics data.Translational psychiatry · 2026Article
- A machine learning-derived polygenic risk score reveals that healthy lifestyle counteracts obesity-related mortality.NPJ digital medicine · 2026Article
- Suggestive genome-wide associations with inflammatory biomarkers in an admixed population, including a missense variant in theFrontiers in immunology · 2026Article
- An Integrative Polygenic and Epigenetic Risk Score for Overweight-related Hypertension in Chinese Population.Genomics, proteomics & bioinformatics · 2025Article
- Body Mass Index as a Potential Mediator of the Association Between Gout and Hypertension Among Chinese Older Adults: A Mediation Analysis in a Cross-Sectional Study.Aging medicine (Milton (N.S.W)) · 2025Article
- Identification of genetic loci enriched in obese or lean T2D cases in the Korean population.Genes & genomics · 2025Article
- Validation of a genome-wide polygenic score for body mass index in South Asians.Frontiers in genetics · 2025Article
- Exploring the genetics of airflow limitation in lung function across the lifespan - a polygenic risk score study.EClinicalMedicine · 2024Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Hundreds of genetic variants for body mass index (BMI) have been identified from numerous genome-wide association studies (GWAS) in different ethnicities. In this study, we aimed to develop a polygenic risk score (PRS) for BMI for predicting susceptibility to obesity and related traits in the Korean population. For this purpose, we obtained base data resulting from a GWAS on BMI using 57,110 HEXA study subjects from the Korean Genome and Epidemiology Study (KoGES). Subsequently, we calculated PRSs in 13,504 target subjects from the KARE and CAVAS studies of KoGES using the PRSice-2 software. The best-fit PRS for BMI (PRS
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Registered trials
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