ISSN: 2332-0877

Journal of Infectious Diseases & Therapy
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  • Commentary   
  • J Infect Dis Ther,
  • DOI: 10.4172/2332-0877.1000594

Using Association Mapping to Identify Candidate Genes Associated with Infection Diseases Resistance

Jan Bocianowski*
Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Poznań, Poland
*Corresponding Author : Jan Bocianowski, Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Poznań, Poland, Email: jan.bocianowski@up.poznan.pl

Received Date: Jun 12, 2024 / Published Date: Jul 12, 2024

Abstract

Infectious diseases are responsible for a significant proportion of deaths in the world population. They are a major determinant of natural selection. Differential susceptibility to pathogens occurs among people from the same ethnic groups and belonging to different populations. The explanation for this phenomenon should be sought in the human genome. Ongoing research using commonly used genetic testing methods has made it possible to identify changes in certain genes that modulate an organism's susceptibility to a particular disease and the rate at which it develops. However, it is important to identify genes that determine resistance to infectious diseases. Genome-Wide Association Studies (GWAS) are a useful tool for identifying candidate genes, especially when combined with Quantitative Trait Loci (QTL) mapping to validate loci for observed traits.

Keywords: GWAS analysis; Association mapping; Infection diseases; Resistance

Citation: Bocianowski J (2024) Using Association Mapping to Identify Candidate Genes Associated with Infection Diseases Resistance. J Infect Dis Ther 12:594. Doi: 10.4172/2332-0877.1000594

Copyright: © 2024 Bocianowski J. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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