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Basic Characteristics of Mutations
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Mutation Site
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T215C |
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Mutation Site Sentence
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The most common DRM was T215C, which does not reduce NRTI susceptibility, and was found in eight of the twelve sequences. |
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Mutation Level
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Amino acid level |
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Mutation Type
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Nonsynonymous substitution |
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Gene/Protein/Region
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RT |
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Standardized Encoding Gene
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gag-pol:155348
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Genotype/Subtype
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HIV-1 |
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Viral Reference
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HXB2
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Functional Impact and Mechanisms
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Disease
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HIV Infections
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Immune
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- |
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Target Gene
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-
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Clinical and Epidemiological Correlations
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Clinical Information
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Y |
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Treatment
|
NRTIs |
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Location
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Washington |
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Literature Information
|
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PMID
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32029767
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Title
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A cross-sectional study to characterize local HIV-1 dynamics in Washington, DC using next-generation sequencing
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Author
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Gibson KM,Jair K,Castel AD,Bendall ML,Wilbourn B,Jordan JA,Crandall KA,Perez-Losada M
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Journal
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Scientific reports
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Journal Info
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2020 Feb 6;10(1):1989
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Abstract
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Washington, DC continues to experience a generalized HIV-1 epidemic. We characterized the local phylodynamics of HIV-1 in DC using next-generation sequencing (NGS) data. Viral samples from 68 participants from 2016 through 2017 were sequenced and paired with epidemiological data. Phylogenetic and network inferences, drug resistant mutations (DRMs), subtypes and HIV-1 diversity estimations were completed. Haplotypes were reconstructed to infer transmission clusters. Phylodynamic inferences based on the HIV-1 polymerase (pol) and envelope genes (env) were compared. Higher HIV-1 diversity (n.s.) was seen in men who have sex with men, heterosexual, and male participants in DC. 54.0% of the participants contained at least one DRM. The 40-49 year-olds showed the highest prevalence of DRMs (22.9%). Phylogenetic analysis of pol and env sequences grouped 31.9-33.8% of the participants into clusters. HIV-TRACE grouped 2.9-12.8% of participants when using consensus sequences and 9.0-64.2% when using haplotypes. NGS allowed us to characterize the local phylodynamics of HIV-1 in DC more broadly and accurately, given a better representation of its diversity and dynamics. Reconstructed haplotypes provided novel and deeper phylodynamic insights, which led to networks linking a higher number of participants. Our understanding of the HIV-1 epidemic was expanded with the powerful coupling of HIV-1 NGS data with epidemiological data.
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Sequence Data
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-
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