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A cross-sectional study to characterize local HIV-1 dynamics in Washington, DC using next-generation sequencing

机译:用下一代测序在华盛顿州局部HIV-1动态表征局部HIV-1动力学的横截面研究

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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.
机译:华盛顿,直流继续体验广义的HIV-1流行病。我们使用下一代测序(NGS)数据在DC中的局部神学性能。从2016到2017年的68名参与者的病毒样本被测序并与流行病学数据配对。完成了系统发育和网络推论,耐药突变(DRMS),亚型和HIV-1多样性估计完成。重建单倍型以推断传输簇。比较了基于HIV-1聚合酶(POL)和包络基因(ENV)的文学性促推。在与DC的男性,异性恋和男性参与者发生性关系的男性中看到了更高的HIV-1多样性(N.S.)。 54.0%的参与者至少包含一个DRM。 40-49岁的人表现出DRMS的最高普及率(22.9%)。 POL和ENV序列的系统发育分析将参与者的31.9-33.8%分为簇。艾滋病毒痕迹在使用单倍型时使用共识序列和9.0-64.2%时分组2.9-12.8%。为了更好地说明其多样性和动态,允许我们更广泛,准确地在DC中表征艾滋病毒-1的局部文学性能。重建的单倍型提供了新颖的和更深的文学性爱洞察力,这导致了连接更多数量的参与者的网络。我们对HIV-1流行病的理解以HIV-1 NGS数据与流行病学数据的强大偶联扩展。

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