ArticleHeliyon2024
Association of genetic polymorphisms with COVID-19 infection and outcomes: An updated meta-analysis based on 62 studies.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed, 8 citations in OpenAlex.
- The I/D variant of theFuture science OA · 2025Article
- A Machine Learning Approach to Understanding the Genetic Role in COVID-19 Prognosis: The Influence of Gene Polymorphisms Related to Inflammation, Vitamin D, andInternational journal of molecular sciences · 2025Article
- The common genetic variant rs1278960 determining expression of Interferon-lambda predicts inflammatory response in critically ill COVID-19 patients.Scientific reports · 2025Article
- The ZNF717-rs2918520 genotype contributes to COVID-19 severity: a Taiwanese cohort study.BMC infectious diseases · 2025Article
- The role of candidate genetic polymorphisms in covid-19 susceptibility and outcomes.BMC medical genomics · 2025Article
- Genetic variants inFrontiers in genetics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The relationship between genetic polymorphisms and coronavirus disease 2019 (COVID-19) remains to be inconsistent. This meta-analysis aimed to provide an updated evaluation of the role of genetic polymorphisms in the infection, severity and mortality of COVID-19 based on all available published studies. Methods: A systematic search was performed using six databases: PubMed, Embase, Web of Science, Cochrane Library, Chinese National Knowledge Infrastructure (CNKI) and Wanfang. Summary odds ratios (ORs) and corresponding 95 % confidence intervals (CIs) were used to calculate the genotypic comparison. All statistical analyses were conducted in Stata 12.0. Results: A total of 62 studies with 19600 cases and 28899 controls was included in this meta-analysis. For COVID-19 infection, Conclusions: This meta-analysis indicated that he infection, severity or mortality of COVID-19 were related to the above genetic polymorphisms, which might provide an important theoretical basis for understanding the clinical feature of COVID-19 disease.
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Registered trials
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