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Investigating underlying human immunity genes, implicated diseases and their relationship to COVID-19

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 o...

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Autores principales: Ahmed, Zeeshan, Renart, Eduard Gibert, Zeeshan, Saman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Future Medicine Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8919975/
https://www.ncbi.nlm.nih.gov/pubmed/35261286
http://dx.doi.org/10.2217/pme-2021-0132
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author Ahmed, Zeeshan
Renart, Eduard Gibert
Zeeshan, Saman
author_facet Ahmed, Zeeshan
Renart, Eduard Gibert
Zeeshan, Saman
author_sort Ahmed, Zeeshan
collection PubMed
description 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.
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spelling pubmed-89199752022-03-15 Investigating underlying human immunity genes, implicated diseases and their relationship to COVID-19 Ahmed, Zeeshan Renart, Eduard Gibert Zeeshan, Saman Per Med Research Article 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. Future Medicine Ltd 2022-03-09 2022-01 /pmc/articles/PMC8919975/ /pubmed/35261286 http://dx.doi.org/10.2217/pme-2021-0132 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under the Attribution-NonCommercial-NoDerivatives 4.0 Unported License (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Research Article
Ahmed, Zeeshan
Renart, Eduard Gibert
Zeeshan, Saman
Investigating underlying human immunity genes, implicated diseases and their relationship to COVID-19
title Investigating underlying human immunity genes, implicated diseases and their relationship to COVID-19
title_full Investigating underlying human immunity genes, implicated diseases and their relationship to COVID-19
title_fullStr Investigating underlying human immunity genes, implicated diseases and their relationship to COVID-19
title_full_unstemmed Investigating underlying human immunity genes, implicated diseases and their relationship to COVID-19
title_short Investigating underlying human immunity genes, implicated diseases and their relationship to COVID-19
title_sort investigating underlying human immunity genes, implicated diseases and their relationship to covid-19
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8919975/
https://www.ncbi.nlm.nih.gov/pubmed/35261286
http://dx.doi.org/10.2217/pme-2021-0132
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