SynthesisScientific reports2022
Risk of type 2 diabetes and KCNJ11 gene polymorphisms: a nested case-control study and meta-analysis.
Synthesis in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Associations Between TCF7L2, PPARγ, and KCNJ11 Genotypes and Insulin Response to an Oral Glucose Tolerance Test: A Systematic Review.Molecular nutrition & food research · 2025Pooled it
- Integrated multi-tissue transcriptome and serum metabolome analysis reveals brain-gut-liver regulatory axes of residual feed intake in ducks.Poultry science · 2026Article
- Interplay between obesity-associated insulin resistance and immune system through the lens of evolutionary medicine.Molecular metabolism · 2026Review
- Implications of Genetic Elements on Type 2 Diabetes Mellitus Pathogenesis and Management.Endocrinology, diabetes & metabolism · 2026Review
- Gene polymorphisms and occurrence of type 2 diabetes in a Gabonese population.International journal of biochemistry and molecular biology · 2026Article
- Assessing individual genetic susceptibility to metabolic syndrome: interpretable machine learning method.Annals of medicine · 2025Article
- From omics to AI-mapping the pathogenic pathways in type 2 diabetes.FEBS letters · 2025Review
- Polygenic score from MODY genes is associated with type 1 diabetes and disease characteristics.Acta diabetologica · 2025Article
- Emerging Biomarkers and Nanobiosensing Strategies in Diabetes.Biosensors · 2025Review
- Identification and validation of five novel protein targets for type 2 diabetes mellitus.Scientific reports · 2025Article
- Distinct Roles of Common Genetic Variants and Their Contributions to Diabetes: MODY and Uncontrolled T2DM.Biomolecules · 2025Review
- Potassium inwardly-rectifying channel subfamily J member 11 (KCNJ11) gene polymorphism in Egyptian type 2 diabetic patients: a single-center study.Molecular biology reports · 2024Article
- Bile Acid Composition and Transcriptome Analysis of the Liver and Small Intestine in Different Species.Metabolites · 2024Article
- Molecular Dynamics Simulation of Kir6.2 Variants Reveals Potential Association with Diabetes Mellitus.Molecules (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Due to the central role in insulin secretion, the potassium inwardly-rectifying channel subfamily J member 11 (KCNJ11) gene is one of the essential genes for type 2 diabetes (T2D) predisposition. However, the relevance of this gene to T2D development is not consistent among diverse populations. In the current study, we aim to capture the possible association of common KCNJ11 variants across Iranian adults, followed by a meta-analysis. We found that the tested variants of KCNJ11 have not contributed to T2D incidence in Iranian adults, consistent with similar insulin secretion levels among individuals with different genotypes. The integration of our results with 72 eligible published case-control studies (41,372 cases and 47,570 controls) as a meta-analysis demonstrated rs5219 and rs5215 are significantly associated with the increased T2D susceptibility under different genetic models. Nevertheless, the stratified analysis according to ethnicity showed rs5219 is involved in the T2D risk among disparate populations, including American, East Asian, European, and Greater Middle Eastern, but not South Asian. Additionally, the meta-regression analysis demonstrated that the sample size of both case and control groups was significantly associated with the magnitude of pooled genetic effect size. The present study can expand our knowledge about the KCNJ11 common variant's contributions to T2D incidence, which is valuable for designing SNP-based panels for potential clinical applications in precision medicine. It also highlights the importance of similar sample sizes for avoiding high heterogeneity and conducting a more precise meta-analysis.
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