| Title: | Type 2 diabetes and its genetic susceptibility are associated with increased severity and mortality of COVID-19 in UK Biobank |
| Journal: | Communications Biology |
| Published: | 24 Jan 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38267566/ |
| DOI: | https://doi.org/10.1038/s42003-024-05799-1 |
| URL: | https://www.nature.com/articles/s42003-024-05799-1.pdf |
Publication 8873
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Abstract
Type 2 diabetes (T2D) is known as one of the important risk factors for the severity and mortality of COVID-19. Here, we evaluate the impact of T2D and its genetic susceptibility on the severity and mortality of COVID-19, using 459,119 individuals in UK Biobank. Utilizing the polygenic risk scores (PRS) for T2D, we identified a significant association between T2D or T2D PRS, and COVID-19 severity. We further discovered the efficacy of vaccination and the pivotal role of T2D-related genetics in the pathogenesis of severe COVID-19. Moreover, we found that individuals with T2D or those in the high T2D PRS group had a significantly increased mortality rate. We also observed that the mortality rate for SARS-CoV-2-infected patients was approximately 2 to 7 times higher than for those not infected, depending on the time of infection. These findings emphasize the potential of T2D PRS in estimating the severity and mortality of COVID-19.</p>
9 Authors
- Aeyeon Lee
- Jieun Seo
- Seunghwan Park
- Youngkwang Cho
- Gaeun Kim
- Jun Li
- Liming Liang
- Taesung Park
- Wonil Chung
3 Applications
| Application ID | Title |
|---|---|
| 45052 | Genetic effect and genetic correlation among multiple related phenotypes and interaction with environmental exposures |
| 58105 | Pathway analysis and prediction analysis for various complex diseases |
| 77890 | Discovery of biomarkers for chronic and complex diseases risk predict based on biobank data |
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