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A phylogeny-based sampling strategy and power calculator informs genome-wide associations study design for microbial pathogens

机译:基于系统发育的采样策略和功效计算器可为微生物病原体提供全基因组关联研究设计

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摘要

Whole genome sequencing is increasingly used to study phenotypic variation among infectious pathogens and to evaluate their relative transmissibility, virulence, and immunogenicity. To date, relatively little has been published on how and how many pathogen strains should be selected for studies associating phenotype and genotype. There are specific challenges when identifying genetic associations in bacteria which often comprise highly structured populations. Here we consider general methodological questions related to sampling and analysis focusing on clonal to moderately recombining pathogens. We propose that a matched sampling scheme constitutes an efficient study design, and provide a power calculator based on phylogenetic convergence. We demonstrate this approach by applying it to genomic datasets for two microbial pathogens: Mycobacterium tuberculosis and Campylobacter species.Electronic supplementary materialThe online version of this article (doi:10.1186/s13073-014-0101-7) contains supplementary material, which is available to authorized users.
机译:全基因组测序越来越多地用于研究传染性病原体之间的表型变异,并评估其相对传播性,毒力和免疫原性。迄今为止,关于表型和基因型相关研究应如何选择和选择多少病原体菌株的报道很少。在鉴定通常由高度结构化种群组成的细菌中的遗传关联时,存在一些特殊的挑战。在这里,我们考虑与抽样和分析有​​关的一般方法论问题,重点是克隆到中等程度重组病原体。我们建议匹配的采样方案构成有效的研究设计,并提供一个基于系统发育收敛的功率计算器。我们通过将其应用于两种微生物病原体的基因组数据集(结核分枝杆菌和弯曲杆菌属)证明了这种方法。电子补充材料本文的在线版本(doi:10.1186 / s13073-014-0101-7)包含补充材料,可用于授权用户。

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