ArticleBMC medical genetics2019
Identification of female-specific genetic variants for metabolic syndrome and its component traits to improve the prediction of metabolic syndrome in females.
Article in BMC medical genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Prevalence and predictors of metabolic syndrome among psychiatric patients receiving antipsychotic treatment in Africa: a systematic review and meta-analysis.BMC psychiatry · 2025Pooled it
- Identifying genetic contributions of 6q21 loci and PPAR pathway to antipsychotic-induced metabolic syndrome: a Sex-Stratified Multi-Omics study.Molecular psychiatry · 2026Article
- Sex-stratified genetic regulators of cytokine production in the Dutch and Tanzanian populations.HGG advances · 2026Article
- Recent Updates on the Role of Genetic and Epigenetic Factors in the Pathogenesis of the Metabolic Syndrome.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Review
- The Role of the Salt-inducible Kinases in the Endocrine Glands.Endocrinology · 2025Review
- Identification of genetic loci enriched in obese or lean T2D cases in the Korean population.Genes & genomics · 2025Article
- Effects of the Interaction Between Oxidative Balance Score and Polygenic Risk Scores on Incidence of Metabolic Syndrome in Middle-Aged Korean Adults.Antioxidants (Basel, Switzerland) · 2024Article
- A comprehensive multi-task deep learning approach for predicting metabolic syndrome with genetic, nutritional, and clinical data.Scientific reports · 2024Article
- The Correlation between Depression during Pregnancy and Metabolic Syndrome.Actas espanolas de psiquiatria · 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
- Identification of shared genetic risks underlying metabolic syndrome and its related traits in the Korean population.Frontiers in genetics · 2024Article
- Article
- Development of a Polygenic Risk Score for BMI to Assess the Genetic Susceptibility to Obesity and Related Diseases in the Korean Population.International journal of molecular sciences · 2023Article
- Microvascular and macrovascular complications of type 2 diabetes mellitus: Exome wide association analyses.Frontiers in endocrinology · 2023Article
- Machine Learning Approach for Metabolic Syndrome Diagnosis Using Explainable Data-Augmentation-Based Classification.Diagnostics (Basel, Switzerland) · 2022Article
- Construction of Xinjiang metabolic syndrome risk prediction model based on interpretable models.BMC public health · 2022Article
- "Big Data" Approaches for Prevention of the Metabolic Syndrome.Frontiers in genetics · 2022Review
- Insight into genetic, biological, and environmental determinants of sexual-dimorphism in type 2 diabetes and glucose-related traits.Frontiers in cardiovascular medicine · 2022Review
- A nine-hub-gene signature of metabolic syndrome identified using machine learning algorithms and integrated bioinformatics.Bioengineered · 2021Article
- Ancestry specific associations of a genetic risk score, dietary patterns and metabolic syndrome: a longitudinal ARIC study.BMC medical genomics · 2021Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMetabolic syndrome (MetS), defined as a cluster of metabolic risk factors including dyslipidemia, insulin-resistance, and elevated blood pressure, has been known as partly heritable. MetS effects the lives of many people worldwide, yet females have been reported to be more vulnerable to this cluster of risks.
methodsTo elucidate genetic variants underlying MetS specifically in females, we performed a genome-wide association study (GWAS) for MetS as well as its component traits in a total of 9932 Korean female subjects (including 2276 MetS cases and 1692 controls). To facilitate the prediction of MetS in females, we calculated a genetic risk score (GRS) combining 14 SNPs detected in our GWA analyses specific for MetS.
resultsGWA analyses identified 14 moderate signals (P
conclusionThis study highlights new female-specific genetic variants associated with MetS and its component traits and suggests that the GRS of MetS variants is a likely useful predictor of MetS in females.
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