Loading…
First report on genome wide association study in western Indian population reveals host genetic factors for COVID-19 severity and outcome
Different human races across the globe responded in a different way to the SARS-CoV-2 infection leading to different disease severity. Therefore, it is anticipated that host genetic factors have a straight association with the COVID-19. We identified a total 6, 7, and 6 genomic loci for deceased-rec...
Saved in:
Published in: | Genomics (San Diego, Calif.) Calif.), 2022-07, Vol.114 (4), p.110399-110399, Article 110399 |
---|---|
Main Authors: | , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Different human races across the globe responded in a different way to the SARS-CoV-2 infection leading to different disease severity. Therefore, it is anticipated that host genetic factors have a straight association with the COVID-19. We identified a total 6, 7, and 6 genomic loci for deceased-recovered, asymptomatic-recovered, and deceased-asymptomatic group comparison, respectively. Unfavourable alleles of the markers nearby the genes which are associated with lung and heart diseases such as Tumor necrosis factor superfamily (TNFSF4&18), showed noteworthy association with the disease severity and outcome for the COVID-19 patients in the western Indian population. The markers found with significant association with disease prognosis or recovery are of value in determining the individual's response to SARS-CoV-2 infection and can be used for the risk prediction in COVID-19. Besides, GWAS study in other populations from India may help to strengthen the outcome of this study.
•Genome Wide Association Study for the western Indian population was performed.•Genomics loci for COVID-19 severity and outcome has been identified.•TNFSF4&18, GOT2P2, and DHX15 are significantly associated with COVID-19 severity.•RFX3 and UBXN10 found to be protective in COVID-19 patients in the study population.•The identified unfavourable alleles can be used for risk prediction for COVID-19. |
---|---|
ISSN: | 0888-7543 1089-8646 |
DOI: | 10.1016/j.ygeno.2022.110399 |