SynthesisMolecular genetics & genomic medicine2020
Quantitative assessment of TLR4 gene polymorphisms and T2DM risk: A meta-analysis.
Synthesis in Molecular genetics & genomic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.
- TLR4 rs4986790 polymorphism confers risk to Helicobacter pylori infection in Zhejiang, China and its enlightenment to nursing care.Journal of clinical laboratory analysis · 2022Pooled it
- Quantitative assessment of TLR4 gene polymorphisms and T2DM risk: A meta-analysis.Molecular genetics & genomic medicine · 2020Pooled it
- Immune dysregulation in type 2 diabetes mellitus: Implications for tuberculosis, COVID-19, and HIV/AIDS.Infectious medicine · 2025Review
- Synergistic effects of NF-κB1 and inflammatory pathway polymorphisms on hypertension and dyslipidemia susceptibility in type 2 diabetes.Diabetology & metabolic syndrome · 2025Article
- Association of Toll-like Receptor 4 Gene Polymorphisms with Diabetes Type 2 Patients in the Palestinian Population.Endocrine, metabolic & immune disorders drug targets · 2025Article
- Subgingival microbiota and genetic factors (A-2570G, A896G, and C1196T TLR4 polymorphisms) as periodontal disease determinants.Frontiers in dental medicine · 2025Article
- Molecular Effect of Variants in Toll-like Receptor 4 Gene in Saudi Patients with Type 2 Diabetes Mellitus.Cells · 2023Article
- TLR4 polymorphism and haplotype are associated with obesity and lipid profile in young population: a pilot study.Journal of endocrinological investigation · 2023Article
- Single Nucleotide Polymorphisms of Toll-like Receptor 4 in Hepatocellular Carcinoma-A Single-Center Study.International journal of molecular sciences · 2022Article
- Toll like receptor 4 gene Asp299Gly polymorphism increases the risk of diabetic microvascular complications: a meta analysis.Diabetology & metabolic syndrome · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNumerous studies have evaluated the association between TLR4 gene polymorphisms and T2DM risk. However, the findings were inconsistent and controversial.
methodsIn order to drive a more precise estimation, we carried out a meta-analysis based on 41 studies involving 23,250 cases and 24,760 controls. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to assess the strength of association.
resultsOur meta-analysis provides evidence that rs4986790 polymorphism was associated with an increased risk of T2DM in Asian (AG vs. AA, OR = 1.23, 95% CI = 1.01-1.50, p = 0.042; G vs. A, OR = 1.21, 95% CI = 1.01-1.44, p = 0.041). Rs4986791 polymorphism was related to an increased risk of T2DM both in Asian (AG vs. AA, OR = 1.76, 95% CI = 1.11-2.80, p = 0.017; G vs. A, OR = 1.63, 95% CI = 1.04-2.55, p = 0.034) and Caucasian (GG vs. AA, OR = 2.42, 95% CI = 1.23-4.75, p = 0.010). Rs11536889 polymorphism may have a protective effect on T2DM in Chinese populations (CC vs. GG, OR = 0.62, 95% CI = 0.40-0.96, p = 0.031; GC vs. GG, OR = 0.77, 95% CI = 0.61-0.98, p = 0.034; CC vs. GC/GG, OR = 0.81, 95% CI = 0.69-0.96, p = 0.013; C vs. G, OR = 0.76, 95% CI = 0.59-0.97, p = 0.027), whereas rs1927911 may have no impact.
conclusionsThese findings supported that rs4986790, rs4986791, and rs11536889 may contribute to the risk of T2DM.
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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.