Department of Biomedical Informatics, The Ohio State University, Columbus, 43210, USA.
Anim Health Res Rev. 2010 Jun;11(1):73-9. doi: 10.1017/S1466252310000083.
Emerging infectious diseases are critical issues of public health and the economic and social stability of nations. As demonstrated by the international response to the severe acute respiratory syndrome (SARS) and influenza A, rapid genomic sequencing is a crucial tool to understand diseases that occur at the interface of human and animal populations. However, our ability to make sense of sequence data lags behind our ability to acquire the data. The potential of sequence data on pathogens is not fully realized until raw data are translated into public health intelligence. Sequencing technologies have become highly mechanized. If the political will for data sharing remains strong, the frontier for progress in emerging infectious diseases will be in analysis of sequence data and translation of results into better public health science and policy. For example, applying analytical tools such as Supramap (http://supramap.osu.edu) to genomic data for pathogens, public health scientists can track specific mutations in pathogens that confer the ability to infect humans or resist drugs. The results produced by the Supramap application are compelling visualizations of pathogen lineages and features mapped into geographic information systems that can be used to test hypotheses and to follow the spread of diseases across geography and hosts and communicate the results to a wide audience.
新发传染病是公共卫生以及国家经济和社会稳定的重大问题。正如国际社会对严重急性呼吸系统综合征(SARS)和甲型流感的应对所表明的那样,快速基因组测序是了解发生在人类和动物种群交界处的疾病的重要工具。然而,我们理解序列数据的能力落后于我们获取数据的能力。病原体序列数据的潜力只有在原始数据转化为公共卫生情报后才能充分实现。测序技术已经高度机械化。如果对数据共享的政治意愿仍然强烈,新发传染病领域的前沿将是对序列数据的分析以及将结果转化为更好的公共卫生科学和政策。例如,公共卫生科学家可以应用 Supramap(http://supramap.osu.edu)等分析工具来分析病原体的基因组数据,跟踪使病原体能够感染人类或抵抗药物的特定突变。Supramap 应用程序生成的结果是对病原体谱系和映射到地理信息系统中的特征的引人注目的可视化,可用于检验假设并跟踪疾病在地理和宿主中的传播,并将结果传达给更广泛的受众。