SynthesisScientific reports2024
Single nucleotide polymorphisms (SNPs) that are associated with obesity and type 2 diabetes among Asians: a systematic review and meta-analysis.
Synthesis in Scientific reports, 2024. 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.
- Pooled it
- Converging TCF7L2 and CDKAL1 pathways in the pathogenesis of type 2 diabetes mellitus.Acta diabetologica · 2026Review
- Beyond One-Size-Fits-All: Individually Tailored Dietary Interventions in Modern Obesity Care.Nutrients · 2026Review
- Molecular Mechanisms Associated with Metabolic Dysfunction: Contributions of Nutritional Genomics.Metabolites · 2026Review
- Response of FTO gene polymorphisms to continuous caloric restriction diets on lipid and glycemic biomarkers in overweight and obese adults: a systematic review and meta-analysis.Nutrition & metabolism · 2026Review
- Interpretable deep survival analysis of Alzheimer's disease via metabolic genetic variants.Bioinformatics (Oxford, England) · 2026Article
- Implications of Genetic Elements on Type 2 Diabetes Mellitus Pathogenesis and Management.Endocrinology, diabetes & metabolism · 2026Review
- Geographical differences in the prevalence of diabetic kidney disease in middle-aged and elderly patients in China: an analysis based on the Bayesian conditional autoregressive model.BMC nephrology · 2026Article
- Functional divergence of the gut microbiome associated with lifestyle and helminth infection in Indigenous Peninsular Malaysian.Research square · 2026Article
- Assessment of Eating Behavior and Genetic Risk Factors for Metabolic Syndrome.Journal of clinical medicine · 2026Article
- Association and haplotype analysis of TCF7L2 gene variants with development of obesity in type 2 diabetic patients among Northern Iranians.Journal of diabetes and metabolic disorders · 2025Article
- The Genetic Blueprint of Obesity: From Pathogenesis to Novel Therapies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Review
- Association Between T2DM, TyG Index, Multiple Sclerosis, and Rheumatoid Arthritis: Insights into Potential Mechanisms.Molecular neurobiology · 2025Article
- Association ofDiagnostics (Basel, Switzerland) · 2025Article
- The association of TCF7L2 gene polymorphisms, rs12255372 and rs7903146, with type 2 diabetes mellitus in the Jordanian population.Molecular biology reports · 2025Article
- Interrelation of Oxidative Stress and Genetics in Pathophysiology of Obesity and Obesity-Related Conditions.Genes · 2025Review
- Genetic Polymorphism of Zinc Transporter-8 Gene (SLC30A8), Serum Zinc Concentrations, and Proteome Profiles Related to Type 2 Diabetes in Elderly.Journal of clinical medicine · 2025Article
- Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Single nucleotide polymorphisms (SNPs) could increase the susceptibility of individuals to develop obesity and type 2 diabetes (T2DM). Obesity and T2DM are closely related pathophysiologically, thus similar SNPs could mediate both these diseases, but this is rarely reported. Furthermore, limited studies have been performed to summarize SNP data in the Asian population compared to the Western population. In this study, we aimed to summarize SNPs that are associated with the development of obesity and T2DM among Asian populations. We searched six literature databases and Review Manager (RevMan) was used for meta-analysis. The pooled odds ratios (ORs) and 95% CIs were calculated with a random effects model for the heterogeneity among studies. The pooled analysis showed that rs9939609 (FTO gene) and rs17782313 and rs571312 (MC4R gene) are associated with obesity with an odd ratio (OR) of 1.37, 1.36 and 1.29 respectively. For T2DM, five SNPs, rs7903146 and rs12255372 (TCF7L2 gene), rs13266634 and rs11558471 (SLC30A8 gene) and rs2283228 (KCNQ1 gene) have also shown strong associations with T2DM at OR of 1.64, 1.61, 1.22, 1.29 and 1.60 respectively. This data could be used to develop a gene screening panel for assessing obesity and T2DM susceptibility.
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