Using Association Mapping to Identify Candidate Genes Associated with Infection Diseases Resistance
Type
Journal article
Language
English
Date issued
2024
Author
Faculty
WydziaĆ Rolnictwa, Ogrodnictwa i Biotechnologii
Journal
Journal of Infectious Diseases & Therapy
ISSN
2332-0877
Volume
12
Number
4
Pages from-to
art. 596
Abstract (EN)
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.
License
CC-BY - Attribution
Open access date
June 12, 2024