Institut Pasteur, Université Paris Cité, Paris, France, Paris, France.
Harvard T.H. Chan School of Public Health, Boston, USA.
Malar J. 2024 Oct 15;23(1):308. doi: 10.1186/s12936-024-05119-2.
Malaria parasites are haploid within humans, but infections often contain genetically distinct groups of clonal parasites. When the per-infection number of genetically distinct clones (i.e., the multiplicity of infection, MOI) exceeds one, and per-infection genetic data are generated in bulk, important information are obfuscated. For example, the MOI, the phases of the haploid genotypes of genetically distinct clones (i.e., how the alleles concatenate into sequences), and their frequencies. This complicates many downstream analyses, including relatedness estimation. MOIs, parasite sequences, their frequencies, and degrees of relatedness are used ubiquitously in malaria studies: for example, to monitor anti-malarial drug resistance and to track changes in transmission. In this article, MrsFreqPhase methods designed to estimate statistically malaria parasite MOI, relatedness, frequency and phase are reviewed. An overview, a historical account of the literature, and a statistical description of contemporary software is provided for each method class. The article ends with a look towards future method development, needed to make best use of new data types generated by cutting-edge malaria studies reliant on MrsFreqPhase methods.
疟原虫在人体内是单倍体,但感染通常包含遗传上不同的克隆寄生虫群。当感染中遗传上不同克隆的数量(即感染倍数,MOI)超过 1 时,并且批量生成每个感染的遗传数据时,重要信息就会变得混乱。例如,MOI、遗传上不同克隆的单倍体基因型的阶段(即等位基因如何串联成序列)及其频率。这使得许多下游分析变得复杂,包括相关性估计。MOI、寄生虫序列、它们的频率和相关性在疟疾研究中被广泛使用:例如,监测抗疟药物耐药性和跟踪传播的变化。在本文中,回顾了用于估计疟原虫 MOI、相关性、频率和相位的 MrsFreqPhase 方法。为每个方法类别提供了概述、文献历史回顾和当代软件的统计描述。文章最后展望了未来的方法开发,以充分利用依赖 MrsFreqPhase 方法的前沿疟疾研究产生的新数据类型。