Analysis of the Prevalence of HLA Alleles in Patients with COVID-19

Authors

  • Gabriel P. Mendes Universidade do Estado do Rio de Janeiro (UERJ)
  • Luís C. M. S. Pôrto Universidade do Estado do Rio de Janeiro (UERJ)
  • Cristiano Lima Universidade Federal de Minas Gerais
  • Helton Santiago Universidade Federal de Minas Gerais
  • Stephanie Almeida Universidade Federal de Minas Gerais
  • Alexandre C. Sena Universidade do Estado do Rio de Janeiro (UERJ)

DOI:

https://doi.org/10.59681/2175-4411.v15.iEspecial.2023.1083

Keywords:

Case-Control Study, HLA alleles, Matching Algorithm

Abstract

The aim of this work was to analyze the prevalence of HLA alleles in patients with COVID-19 through a Case-Control Study (CCS). The methodology used the information systems SIVEP-Gripe, which records cases of Severe Acute Respiratory Syndrome (SARS), and e-SUS, which records suspected or confirmed cases of COVID-19, to compose the database for the CCS. Then, a query was performed on the organ donor database (REDOME) to obtain the HLA alleles. To obtain a homogeneous control base for the CCS from the characteristics of the case base records, a matching algorithm was implemented. Finally, the analysis of the HLA alleles in patients with COVID-19 was performed. The results show the balanced choice of the algorithm and the allele analysis showed differences between the distribution of allelic groups as a function of ethnicity/race.

Author Biographies

Gabriel P. Mendes, Universidade do Estado do Rio de Janeiro (UERJ)

Departamento de Informática e Ciência da Computação - Universidade do Estado do Rio de Janeiro (UERJ)

Luís C. M. S. Pôrto, Universidade do Estado do Rio de Janeiro (UERJ)

Laboratório de Histocompatibilidade e Criopreservação (UERJ)

Cristiano Lima, Universidade Federal de Minas Gerais

Departamento de Cirurgia - Universidade Federal de Minas Gerais.

Helton Santiago, Universidade Federal de Minas Gerais

Departamento de Bioquímica e Imunologia - Universidade Federal de Minas Gerais.

Stephanie Almeida, Universidade Federal de Minas Gerais

Departamento de Bioquímica e Imunologia - Universidade Federal de Minas Gerais.

Alexandre C. Sena, Universidade do Estado do Rio de Janeiro (UERJ)

Departamento de Informática e Ciência da Computação - Universidade do Estado do Rio de Janeiro (UERJ)

References

Brasil, Ministério da Sáude. e-SUS Notifica [Internet]. Available from: https://www.gov.br/saude/pt-br/composicao/svs/sistemas-de-informacao/e-sus-notifica

Brasil, Ministério da Sáude. SIVEP-Gripe [Internet]. Available from: https://sivepgripe.saude.gov.br/sivepgripe/

Correale P, Mutti L, Pentimalli F, et al. HLA-B*44 and C*01 Prevalence Correlates with Covid19 Spreading across Italy. Int J Mol Sci. 2020; 21(15).

Tenny S, Kerndt CC, Hoffman MR Case Control Studies. StatPearls [Internet]. 2022.

Nunes K, Aguiar V, Silva M, et al. How Ancestry Influences the Chances of Finding Unrelated Donors: An Investigation in Admixed Brazilians Front. Immunol. 11:584950. doi: 10.3389/fimmu.2020.584950

Published

2023-07-20

How to Cite

Mendes, G. P., Pôrto, L. C. M. S., Lima, C., Santiago, H., Almeida, S., & Sena, A. C. (2023). Analysis of the Prevalence of HLA Alleles in Patients with COVID-19. Journal of Health Informatics, 15(Especial). https://doi.org/10.59681/2175-4411.v15.iEspecial.2023.1083

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