Suppr超能文献

基于序列数据定义HIV-1传播簇。

Defining HIV-1 transmission clusters based on sequence data.

作者信息

Hassan Amin S, Pybus Oliver G, Sanders Eduard J, Albert Jan, Esbjörnsson Joakim

机构信息

aKEMRI-Wellcome Trust Research Programme, Centre for Geographic Medicine Research (Coast), Kilifi, Kenya bDepartment of Laboratory Medicine, Lund University, Lund, Sweden cDepartment of Zoology dNuffield Department of Medicine, University of Oxford, Oxford, UK eDepartment of Clinical Microbiology, Karolinska University Hospital fDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden.

出版信息

AIDS. 2017 Jun 1;31(9):1211-1222. doi: 10.1097/QAD.0000000000001470.

Abstract

: Understanding HIV-1 transmission dynamics is relevant to both screening and intervention strategies of HIV-1 infection. Commonly, HIV-1 transmission chains are determined based on sequence similarity assessed either directly from a sequence alignment or by inferring a phylogenetic tree. This review is aimed at both nonexperts interested in understanding and interpreting studies of HIV-1 transmission, and experts interested in finding the most appropriate cluster definition for a specific dataset and research question. We start by introducing the concepts and methodologies of how HIV-1 transmission clusters usually have been defined. We then present the results of a systematic review of 105 HIV-1 molecular epidemiology studies summarizing the most common methods and definitions in the literature. Finally, we offer our perspectives on how HIV-1 transmission clusters can be defined and provide some guidance based on examples from real life datasets.

摘要

了解HIV-1传播动态与HIV-1感染的筛查和干预策略均相关。通常,HIV-1传播链是基于直接从序列比对评估的序列相似性或通过推断系统发育树来确定的。本综述针对两类人群,一类是对理解和解释HIV-1传播研究感兴趣的非专家,另一类是对为特定数据集和研究问题找到最合适的聚类定义感兴趣的专家。我们首先介绍HIV-1传播簇通常是如何定义的概念和方法。然后,我们展示了对105项HIV-1分子流行病学研究的系统综述结果,总结了文献中最常见的方法和定义。最后,我们就如何定义HIV-1传播簇发表我们的观点,并基于实际生活数据集的例子提供一些指导。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验