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Cytotoxic T-Lymphocyte Escape Mutations Identified by HLA Association Favor Those Which Escape and Revert Rapidly

机译:HLA协会确定的细胞毒性T淋巴细胞逃逸突变有利于那些迅速逃逸并回复的突变。

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摘要

Identifying human immunodeficiency virus (HIV) immune escape mutations has implications for understanding the impact of host immunity on pathogen evolution and guiding the choice of vaccine antigens. One means of identifying cytotoxic-T-lymphocyte (CTL) escape mutations is to search for statistical associations between mutations and host human leukocyte antigen (HLA) class I alleles at the population level. The impact of evolutionary rates on the strength of such associations is not well defined. Here, we address this topic using a mathematical model of within-host evolution and between-host transmission of CTL escape mutants that predicts the prevalence of escape mutants at the population level. We ask how the rates at which an escape mutation emerges in a host who bears the restricting HLA and reverts when transmitted to a host who does not bear the HLA affect the strength of an association. We consider the impact of these factors when using a standard statistical method to test for an association and when using an adaptation of that method that corrects for phylogenetic relationships. We show that with both methods, the average sample size required to identify an escape mutation is smaller if the mutation escapes and reverts quickly. Thus, escape mutations identified as HLA associated systematically favor those that escape and revert rapidly. We also present expressions that can be used to infer escape and reversion rates from cross-sectional escape prevalence data.
机译:鉴定人类免疫缺陷病毒(HIV)免疫逃逸突变对理解宿主免疫对病原体进化的影响并指导疫苗抗原的选择具有重要意义。识别细胞毒性T淋巴细胞(CTL)逃逸突变的一种方法是在人群水平上寻找突变与宿主人白细胞抗原(HLA)I类等位基因之间的统计联系。进化率对这种关联强度的影响尚不明确。在这里,我们使用CTL逃逸突变体的宿主内部进化和宿主之间传播的数学模型来解决这个问题,该模型可以预测逃逸突变体在人群水平上的普遍性。我们询问在携带限制性HLA的宿主中逃逸突变出现的速率以及在传播给不携带HLA的宿主时回复突变如何影响关联强度。当使用标准的统计方法测试关联时,以及使用该方法的改正方法校正系统发生关系时,我们都会考虑这些因素的影响。我们表明,使用两种方法,如果突变逃逸并快速回复,则识别逃逸突变所需的平均样本量会较小。因此,识别为HLA相关的逃逸突变系统地倾向于那些逃逸并快速回复的突变。我们还提供了可用于从横截面逸出率数据推断出逸出率和回复率的表达式。

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