Mosquera-Rendón Jeanneth, Moreno-Herrera Claudia Ximena, Robledo Jaime, Hurtado-Páez Uriel
Bacteriology and Mycobacteria Unit, Corporation for Biological Research (CIB), Medellín 050034, Colombia.
Microbiodiversity and Bioprospecting Group (Microbiop), Department of Biosciences, Faculty of Sciences, Universidad Nacional de Colombia, Medellín 050034, Colombia.
Microorganisms. 2023 Nov 27;11(12):2866. doi: 10.3390/microorganisms11122866.
Antibiotic resistance is a significant threat to public health worldwide. Genome-wide association studies (GWAS) have emerged as a powerful tool to identify genetic variants associated with this antibiotic resistance. By analyzing large datasets of bacterial genomes, GWAS can provide valuable insights into the resistance mechanisms and facilitate the discovery of new drug targets. The present study aimed to undertake a systematic review of different GWAS approaches used for detecting genetic variants associated with antibiotic resistance. We comprehensively searched the PubMed and Scopus databases to identify relevant studies published from 2013 to February 2023. A total of 40 studies met our inclusion criteria. These studies explored a wide range of bacterial species, antibiotics, and study designs. Notably, most of the studies were centered around human pathogens such as , , , and . The review seeks to explore the several GWAS approaches utilized to investigate the genetic mechanisms associated with antibiotic resistance. Furthermore, it examines the contributions of GWAS approaches in identifying resistance-associated genetic variants through binary and continuous phenotypes. Overall, GWAS holds great potential to enhance our understanding of bacterial resistance and improve strategies to combat infectious diseases.
抗生素耐药性是全球公共卫生面临的重大威胁。全基因组关联研究（GWAS）已成为识别与这种抗生素耐药性相关的基因变异的有力工具。通过分析细菌基因组的大型数据集，GWAS可以为耐药机制提供有价值的见解，并促进新药物靶点的发现。本研究旨在对用于检测与抗生素耐药性相关的基因变异的不同GWAS方法进行系统综述。我们全面检索了PubMed和Scopus数据库，以识别2013年至2023年2月发表的相关研究。共有40项研究符合我们的纳入标准。这些研究探索了广泛的细菌物种、抗生素和研究设计。值得注意的是，大多数研究集中在人类病原体上，如 、 、 和 。该综述旨在探索用于研究与抗生素耐药性相关的遗传机制的几种GWAS方法。此外，它还通过二元和连续表型研究了GWAS方法在识别耐药相关基因变异方面的贡献。总体而言，GWAS在增强我们对细菌耐药性的理解和改进对抗传染病的策略方面具有巨大潜力。
