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Investigating underlying human immunity genes, implicated diseases and their relationship to COVID-19.
Ahmed, Zeeshan; Renart, Eduard Gibert; Zeeshan, Saman.
  • Ahmed Z; Rutgers Institute for Health, Health Care Policy & Aging Research, Rutgers University, 112 Paterson Street, New Brunswick, NJ 08901, USA.
  • Renart EG; Department of Medicine, Robert Wood Johnson Medical School, Rutgers Biomedical & Health Sciences, 125 Paterson Street, New Brunswick, NJ 08901, USA.
  • Zeeshan S; Rutgers Institute for Health, Health Care Policy & Aging Research, Rutgers University, 112 Paterson Street, New Brunswick, NJ 08901, USA.
Per Med ; 19(3): 229-250, 2022 05.
Article in English | MEDLINE | ID: covidwho-1736673
ABSTRACT

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.
The quest to establish an understanding of the genetics underlying COVID-19 is a central focus of life sciences today. COVID-19 is triggered by SARS-CoV-2, a single-stranded RNA respiratory virus. Several clinical-genomics studies have emerged positing different human gene mutations occurring due to COVID-19. A global analysis of these genes was conducted targeting major components of the immune system to identify possible variations likely to be involved in COVID-19 predisposition. Gene-variant analysis was performed on whole-genome sequencing samples collected from diverse populations. ACE2, TMPRSS4, TMPRSS2, SLC6A20 and FYCOI were found to have functional implications and TMPRSS4 may have a role in the severity of clinical manifestations of COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study Topics: Variants Limits: Humans Language: English Journal: Per Med Year: 2022 Document Type: Article Affiliation country: Pme-2021-0132

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study Topics: Variants Limits: Humans Language: English Journal: Per Med Year: 2022 Document Type: Article Affiliation country: Pme-2021-0132