ArticleFrontiers in public health2023
Causal relationship between particulate matter 2.5 and diabetes: two sample Mendelian randomization.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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
4 citing papers in PubMed.
- Polygenic risk and air pollution trends in relation to type 2 diabetes: evidence from the Taiwan Biobank.Diabetology & metabolic syndrome · 2026Article
- Review
- Exploring the relationship between air pollution, non-alcoholic fatty liver disease, and liver function indicators: a two-sample Mendelian randomization analysis study.Frontiers in endocrinology · 2024Article
- Commentary: Causal relationship between particulate matter 2.5 and diabetes: two sample Mendelian randomization.Frontiers in public health · 2024Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Backgrounds: Many studies have shown particulate matter has emerged as one of the major environmental risk factors for diabetes; however, studies on the causal relationship between particulate matter 2.5 (PM Methods: We collected genetic data from European ancestry publicly available genome wide association studies (GWAS) summary data through the MR-BASE repository. The IEU GWAS information output PM Results: From the IVW method, we revealed the causal relationship between PM Conclusion: We identified the hypothesis that there is a causal relationship between PM
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