SynthesisThe Journal of international medical research2020
Association of miR-146a polymorphism rs2910164 and type 2 diabetes risk: a meta-analysis.
Synthesis in The Journal of international medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis 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.
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.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Association of rs2910164 in miR-146a with type 2 diabetes mellitus: A case-control and meta-analysis study.Frontiers in endocrinology · 2022Pooled it
- Decoding miRNA‑146a: Mechanisms of action in cardiovascular diseases and endocrine metabolic disorders (Review).International journal of molecular medicine · 2026Review
- Association of miR-499, miR-27a, and miR-34a Gene Polymorphisms With Susceptibility to Type 2 Diabetes Mellitus in an Iranian Population: A Case-Control Study.BioMed research international · 2026Article
- A Review of MicroRNAs and lncRNAs in Atherosclerosis as Well as Some Major Inflammatory Conditions Affecting Atherosclerosis.Biomedicines · 2024Review
- Article
- Association of MicroRNA-146a with Type 1 and 2 Diabetes and their Related Complications.Journal of diabetes research · 2023Review
- Relationship of microRNA locus with type 2 diabetes mellitus: a case-control study.Endocrine connections · 2021Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveCirculating miR-146a is aberrantly expressed in patients with type 2 diabetes (T2D), probably resulting from gene polymorphisms. However, the role of polymorphism rs2910164 in T2D pathogenesis remains controversial. Thus, we designed a meta-analysis to investigate the association between rs2910164 and T2D.
methodsPubMed and Embase were searched for eligible papers in English published through September 2, 2019. Random or fixed effect models were used to determine risk estimates according to heterogeneities.
resultsFour studies, involving 2,069 patients and 1,950 controls, were included. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were used to pool the effect size. The pooled ORs and 95% CIs were 1.501 (0.887-2.541), 1.102 (0.931-1.304), 1.276 (0.900-1.811), 1.204 (0.878-1.652), 1.238 (0.880-1.740), and 1.350 (0.904-2.016) under the homozygote, heterozygote (CG vs. GG and CC vs. CG), dominant, allele, and recessive models, respectively. Heterogeneity was detected in most genetic models, with subgroup analyses performed by ethnicity, genotyping method, and disease duration. The co-dominant model was determined to be the most appropriate genetic model.
conclusionsOur findings suggested that polymorphism rs2910164 is not correlated with T2D susceptibility. However, the results should be interpreted with caution because of confounding factors.
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Registered trials
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