| Title: | Genetic and phenotypic analysis of the causal relationship between aging and COVID-19 |
| Journal: | Communications Medicine |
| Published: | 5 Oct 2021 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/35602207/ |
| DOI: | https://doi.org/10.1038/s43856-021-00033-z |
| URL: | https://www.nature.com/articles/s43856-021-00033-z.pdf |
| Citations: | 22 (10 in last 2 years) as of 8 Aug 2024 |
Publication 10409
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Abstract
BackgroundEpidemiological studies revealed that the elderly and those with comorbidities are most affected by COVID-19, but it is important to investigate shared genetic mechanisms between COVID-19 risk and aging.MethodsWe conducted a multi-instrument Mendelian Randomization analysis of multiple lifespan-related traits and COVID-19. Aging clock models were applied to the subjects with different COVID-19 conditions in the UK-Biobank cohort. We performed a bivariate genomic scan for age-related COVID-19 and Mendelian Randomization analysis of 389 immune cell traits to investigate their effect on lifespan and COVID-19 risk.ResultsWe show that the genetic variation that supports longer life is significantly associated with the lower risk of COVID-19 infection and hospitalization. The odds ratio is 0.31 (P = 9.7 × 10−6) and 0.46 (P = 3.3 × 10−4), respectively, per additional 10 years of life. We detect an association between biological age acceleration and future incidence and severity of COVID-19 infection. Genetic profiling of age-related COVID-19 infection indicates key contributions of Notch signaling and immune system development. We reveal a negative correlation between the effects of immune cell traits on lifespan and COVID-19 risk. We find that lower B-cell CD19 levels are indicative of an increased risk of COVID-19 and decreased life expectancy, which is further validated by COVID-19 clinical data.ConclusionsOur analysis suggests that the factors that accelerate aging lead to an increased COVID-19 risk and point to the importance of Notch signaling and B cells in both. Interventions that target these factors to reduce biological age may reduce the risk of COVID-19.</p>
8 Authors
- Kejun Ying
- Ranran Zhai
- Timothy V. Pyrkov
- Anastasia V. Shindyapina
- Marco Mariotti
- Peter O. Fedichev
- Xia Shen
- Vadim N. Gladyshev
1 Application
| Application ID | Title |
|---|---|
| 21988 | The project of Quantum Pharmacutical company (q-pharm.com) |
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