Investigating underlying human immunity genes, implicated diseases and their relationship to COVID-19.
Zeeshan AhmedEduard Gibert RenartSaman ZeeshanPublished in: Personalized medicine (2022)
Aim: A human immunogenetics variation study was conducted in samples collected from diverse COVID-19 populations. Materials & methods: Whole-genome and whole-exome sequencing (WGS/WES), data processing, analysis and visualization pipeline were applied to identify variants associated with genes of interest. Results: A total of 2886 mutations were found across the entire set of 13 genomes. Functional annotation of the gene variants revealed mutation type and protein change. Many variants were found to be biologically implicated in COVID-19. The involvement of these genes was also found in multiple other diseases. Conclusion: The analysis determined that ACE2 , TMPRSS4 , TMPRSS2 , SLC6A20 and FYCOI had functional implications and TMPRSS4 was the gene most altered in virally infected patients.
Keyphrases
- copy number
- genome wide
- coronavirus disease
- genome wide identification
- sars cov
- endothelial cells
- genome wide analysis
- dna methylation
- induced pluripotent stem cells
- bioinformatics analysis
- machine learning
- electronic health record
- small molecule
- big data
- gene expression
- angiotensin converting enzyme
- protein protein
- data analysis