ArticleScientific reports2021
Understanding the genetic architecture of the metabolically unhealthy normal weight and metabolically healthy obese phenotypes in a Korean population.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Role of apolipoprotein C1 in lipoprotein metabolism, atherosclerosis and diabetes: a systematic review.Cardiovascular diabetology · 2022Pooled it
- AIM: An Advanced Hybrid Inference Model Combining Clinical Rules and Lifelog-Based Learning for Health Risk Prediction.Life (Basel, Switzerland) · 2026Article
- Hepatic GGPP triggers visceral adipose hypertrophy via binding with adipocyte ACSL1 in metabolic unhealthy obesity.Communications biology · 2026Article
- Performance of three clinical scores for steatosis and steatohepatitis and their interaction with metabolic syndrome in obese individuals.World journal of hepatology · 2026Article
- Undiagnosed Diabetes in Metabolically Unhealthy Normal Weight Adults: A Cross-Sectional Analysis of National Health and Nutrition Examination Survey Cycle 2017-2020 in the United States.Journal of clinical medicine · 2026Article
- Prevalence and factors associated with metabolically unhealthy normal weight among adult Ghanaian migrants in Europe and non-migrants in Ghana: cross-sectional analysis of the multicentre RODAM study.BMJ public health · 2026Article
- Long-term exposure to ambient air pollutant mixture and metabolic obesity phenotypes: Results from a nationwide Korean study (2007-2019).Journal of exposure science & environmental epidemiology · 2026Article
- Association of Genetic, Environmental, and Nutritional Factors With Metabolic Phenotypes of Obesity: A Scoping Review.Journal of obesity · 2025Article
- Association between normal weight obesity and comorbidities and events of cardiovascular diseases among adults in South China.PloS one · 2025Article
- Genetic determinants of obesity in Korean populations: exploring genome-wide associations and polygenic risk scores.Briefings in bioinformatics · 2024Article
- Consumption of dietary fiber and APOA5 genetic variants in metabolic syndrome: baseline data from the Korean Medicine Daejeon Citizen Cohort Study.Nutrition & metabolism · 2024Article
- Genetic Background of Metabolically Healthy and Unhealthy Obesity Phenotypes in Hungarian Adult Sample Population.International journal of molecular sciences · 2023Article
- Factors of Obesity and Metabolically Healthy Obesity in Asia.Medicina (Kaunas, Lithuania) · 2022Review
- Dissecting the clinical relevance of polygenic risk score for obesity-a cross-sectional, longitudinal analysis.International journal of obesity (2005) · 2022Article
- Differential Genetic and Epigenetic Effects of theInternational journal of molecular sciences · 2022Article
- Genetic variations in adiponectin levels and dietary patterns on metabolic health among children with normal weight versus obesity: the BCAMS study.International journal of obesity (2005) · 2022Article
- Metabolic Obesity in People with Normal Body Weight (MONW)-Review of Diagnostic Criteria.International journal of environmental research and public health · 2022Review
- The Association between Healthy Beverage Index and Healthy and Unhealthy Obesity Phenotypes among Obese Women: A Cross-Sectional Study.International journal of clinical practice · 2022Article
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
Understanding the mechanisms underlying the metabolically unhealthy normal weight (MUHNW) and metabolically healthy obese (MHO) phenotypes is important for developing strategies to prevent cardiometabolic diseases. Here, we conducted genome-wide association studies (GWASs) to identify the MUHNW and MHO genetic indices. The study dataset comprised genome-wide single-nucleotide polymorphism genotypes and epidemiological data from 49,915 subjects categorised into four phenotypes-metabolically healthy normal weight (MHNW), MUHNW, MHO, and metabolically unhealthy obese (MUHO). We conducted two GWASs using logistic regression analyses and adjustments for confounding variables (model 1: MHNW versus MUHNW and model 2: MHO versus MUHO). GCKR, ABCB11, CDKAL1, LPL, CDKN2B, NT5C2, APOA5, CETP, and APOC1 were associated with metabolically unhealthy phenotypes among normal weight individuals (model 1). LPL, APOA5, and CETP were associated with metabolically unhealthy phenotypes among obese individuals (model 2). The genes common to both models are related to lipid metabolism (LPL, APOA5, and CETP), and those associated with model 1 are related to insulin or glucose metabolism (GCKR, CDKAL1, and CDKN2B). This study reveals the genetic architecture of the MUHNW and MHO phenotypes in a Korean population-based cohort. These findings could help identify individuals at a high metabolic risk in normal weight and obese populations and provide potential novel targets for the management of metabolically unhealthy phenotypes.
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