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Malaria diagnostics and surveillance in the post-genomic era

机译:后基因组时代的疟疾诊断和监测

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摘要

Genome sequences are available for 3 human-infecting malaria parasites, Plasmodium falciparum, P. vivax and P. knowlesi, and population genomics data are available for many endemic regions. This review summarizes how genomic data have been used to develop new, species-specific molecular targets for better malaria diagnosis. The combination of bioinformatics and genomics has been used to identify new sequence targets suitable for diagnostic applications and assess their viability within the context of global Plasmodium sequence variation. The selection criteria maximized the sensitivity and specificity of the novel targets. At least one target from each species was found to be suitable for molecular diagnosis of malaria with some advantages over existing molecular methods. The promise of using genome sequence data to develop sensitive, genus- or species-specific diagnostic methods for other pathogens of public health interest is strong. This undertaking together with what we envision as the future of malaria diagnosis in the 'omic' era is discussed.
机译:基因组序列可用于3种感染人类的​​疟疾寄生虫,恶性疟原虫,间日疟原虫和诺氏疟原虫,许多地方病地区的种群基因组学数据也可获得。这篇综述总结了如何利用基因组数据来开发新的物种特异性分子靶标,以更好地诊断疟疾。生物信息学和基因组学的结合已被用于识别适合诊断应用的新序列靶标,并在全球疟原虫序列变异的背景下评估其生存力。选择标准使新靶标的敏感性和特异性最大化。发现每个物种至少有一个目标适合于疟疾的分子诊断,并且相对于现有分子方法具有一些优势。使用基因组序列数据为其他公共卫生关注的病原体开发敏感的,属属或种属特异性的诊断方法的前景十分广阔。讨论了这项工作以及我们设想的“全基因组学”时代疟疾诊断的未来。

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