ArticlePloS one2020
Genome-wide association study of metabolic syndrome in Korean populations.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
51 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.
- Association between APOA5 polymorphisms and susceptibility to metabolic syndrome: a systematic review and meta-analysis.BMC genomics · 2024Pooled it
- Chromosomal regions strongly associated with waist circumference and body mass index in metabolic syndrome in a family-based study.Scientific reports · 2021Trial
- ADRB3, LEPR, FTO and PPARG variants contribute to obesity-related metabolic syndrome in Brazilian adults: a polygenic risk score approach.International journal of obesity (2005) · 2026Article
- Multivariate Genome-Wide Association Analysis Identifies Genetic Susceptibility Loci for Metabolic Syndrome in the Korean Genome and Epidemiology Study.International journal of molecular sciences · 2026Article
- From metabolic dysregulation to malignancy: the presence ofJournal of gastrointestinal oncology · 2026Review
- Identification of a rare missense variant in the gene SPATA31H1 associated with hereditary gingival fibromatosis in a large Chinese family.BMC oral health · 2026Article
- HERP constrains white adipose expansion and inflammation by STEAP4 stabilization.Cell death and differentiation · 2026Article
- Precision nutrition in Asian populations: a Multi-omics review of mechanisms, biomarkers, and implementation pathways.Journal of nutritional science · 2026Review
- Steatotic liver disease interacts with a polygenic risk score for triglyceride clearance to impact the risk of hypertriglyceridaemia: The Maastricht Study.Diabetologia · 2025Article
- Optimization of multi-ancestry polygenic risk score disease prediction models.Scientific reports · 2025Article
- Multi-omics integration analysis and association study reveal the potential of ADIPOQ function in gestational diabetes mellitus.Nutrition & diabetes · 2025Article
- Longitudinal Association of Changes in Metabolic Syndrome with Cognitive Function: 12-Year Follow-up of the Guangzhou Biobank Cohort Study.Diabetes & metabolism journal · 2025Article
- Interaction between genetic risk score and dietary fat intake on lipid-related traits in Brazilian young adults.The British journal of nutrition · 2024Article
- Multipartite network analysis to identify environmental and genetic associations of metabolic syndrome in the Korean population.Scientific reports · 2024Article
- Genome-wide association study for metabolic syndrome reveals APOA5 single nucleotide polymorphisms with multilayered effects in Koreans.Lipids in health and disease · 2024Article
- A comprehensive multi-task deep learning approach for predicting metabolic syndrome with genetic, nutritional, and clinical data.Scientific reports · 2024Article
- Genetic variations in ACE2 gene associated with metabolic syndrome in southern China: a case-control study.Scientific reports · 2024Article
- Genome-wide association study of metabolic dysfunction-associated fatty liver disease in a Korean population.Scientific reports · 2024Article
- DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies.Biostatistics (Oxford, England) · 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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolic syndrome (MetS) which is caused by obesity and insulin resistance, is well known for its predictive capability for the risk of type 2 diabetes mellitus and cardiovascular disease. The development of MetS is associated with multiple genetic factors, environmental factors and lifestyle. We performed a genome-wide association study to identify single-nucleotide polymorphism (SNP) related to MetS in large Korean population based samples of 1,362 subjects with MetS and 6,061 controls using the Axiom® Korean Biobank Array 1.0. We replicated the data in another sample including 502 subjects with MetS and 1,751 controls. After adjusting for age and sex, rs662799 located in the APOA5 gene were significantly associated with MetS. 15 SNPs in GCKR, C2orf16, APOA5, ZPR1, and BUD13 were associated with high triglyceride (TG). 14 SNPs in APOA5, ALDH1A2, LIPC, HERPUD1, and CETP, and 2 SNPs in MTNR1B were associated with low high density lipoprotein cholesterol (HDL-C) and high fasting blood glucose respectively. Among these SNPs, 6 TG SNPs: rs1260326, rs1260333, rs1919127, rs964184, rs2075295 and rs1558861 and 11 HDL-C SNPs: rs4775041, rs10468017, rs1800588, rs72786786, rs173539, rs247616, rs247617, rs3764261, rs4783961, rs708272, and rs7499892 were first discovered in Koreans. Additional research is needed to confirm these 17 novel SNPs in Korean population.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.