| Title: | Analysis of COVID-19 genetic risk susceptibility using UK Biobank SNP genotype data |
| Journal: | International Journal of Data Mining and Bioinformatics |
| Published: | 27 Jul 2021 |
| DOI: | https://doi.org/10.1504/ijdmb.2021.116879 |
| Citations: | 1 (1 in last 2 years) as of 8 Aug 2024 |
Publication 7457
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Abstract
The coronavirus disease 2019 (COVID-19) has become a global pandemic. Here, we performed a study on host susceptibility to COVID-19 infection using COVID-19 test results and genomic data released by UK Biobank until early October of 2020. The data consisted of 27,713 samples including 2740 positive cases. We employed genome-wide association study, gene-level association and pathway analyses using common and rare variants. Among these analyses, only pathway analysis based on rare variants found seven significant pathways. Among them, the JAK-STAT pathway and glycolipid biosynthesis pathway have been reported to be associated with a viral infection, especially COVID-19 infection. Further, we found new pathways that were not previously reported, including pathways related to cellular signalling like NLR signalling pathway. Additional experiments and studies of these pathways may unveil the pathophysiological of COVID-19 and identify highly susceptible groups.4 Authors
- Taewan Goo
- Kyulhee Han
- Catherine Apio
- Taesung Park
Enabling scientific discoveries that improve human health