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Characterize the genetic structure and transmission risk of Mycobacterium tuberculosis. Mycobacterium tuberculosis

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NIAID Data Ecosystem2026-05-01 收录
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https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1058519
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Sputum samples were collected from suspected tuberculosis patients in Yidu City and Zigui County, and the positive strains were cultured to extract DNA for whole genome sequencing. The in-house script was used to identify the bacterial type and drug-resistance related mutations of each strain, establish a phylogenetic tree, and analyze the characteristics of drug resistance. Twelve single nucleotide polymorphisms (SNPs) were used as thresholds to identify transmission clusters. Single factor and multifactor logistic regression were used to estimate the risk of related factors. Epidemiological investigation was carried out on clustered patients to find the high-risk population and place of transmission.
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2023-12-28
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