Rasmussen Angela L, Katze Michael G
Department of Microbiology, University of Washington, 960 Republican Street, Seattle, WA 98109, USA.
Department of Microbiology, University of Washington, 960 Republican Street, Seattle, WA 98109, USA.
Cell Host Microbe. 2016 May 11;19(5):611-8. doi: 10.1016/j.chom.2016.04.016.
Compared to classical epidemiologic methods, genomics can be used to precisely monitor virus evolution and transmission in real time across large, diverse populations. Integration of pathogen genomics with data about host genetics and global transcriptional responses to infection allows for comprehensive studies of population-level responses to infection and provides novel methods for predicting clinical outcomes. As genomic technologies become more accessible, these methods will redefine how emerging viruses are studied and outbreaks are contained. Here we review the existing and emerging genomic technologies that are enabling systems epidemiology and systems virology and making it possible to respond rapidly to emerging viruses such as Zika.
与传统流行病学方法相比,基因组学可用于在大型、多样化人群中实时精确监测病毒的进化和传播。将病原体基因组学与宿主遗传学数据以及对感染的全球转录反应相结合,能够对人群对感染的反应进行全面研究,并提供预测临床结果的新方法。随着基因组技术的普及,这些方法将重新定义研究新兴病毒和控制疫情爆发的方式。在此,我们综述了现有的和正在兴起的基因组技术,这些技术推动了系统流行病学和系统病毒学的发展,并使快速应对寨卡等新兴病毒成为可能。