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Genome-based Model for Differentiating Between Infection and Carriage

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Specialty Microbiology
Date 2024 Sep 9
PMID 39248515
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Abstract

Importance: Defining the disease-causing isolates is the first step toward disease control. However, the disease-associated genetic elements of remain unknown, which leads to difficulties in differentiating infection isolates from harmless carriage isolates. Our comprehensive genome-wide association study (GWAS) found consensus evidence that certain genetic elements are overrepresented among infection isolates than carriage isolates, suggesting that the enrichment of disease-associated elements may promote infection. Notably, a single k-mer predictor achieved a high classification accuracy, which forms the basis for early diagnostics and interventions.

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