Analysis of COVID-19 genetic risk susceptibility using UK Biobank SNP genotype data Online publication date: Thu, 05-Aug-2021
by Taewan Goo; Kyulhee Han; Catherine Apio; Taesung Park
International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 25, No. 1/2, 2021
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Data Mining and Bioinformatics (IJDMB):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook