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估计病毒载量遗传力的潜在陷阱。

Potential Pitfalls in Estimating Viral Load Heritability.

机构信息

Department of Civil and Environmental Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02143, USA; Institute of Integrative Biology, ETH Zurich, 8092 Zurich, Switzerland.

Institute of Integrative Biology, ETH Zurich, 8092 Zurich, Switzerland.

出版信息

Trends Microbiol. 2016 Sep;24(9):687-698. doi: 10.1016/j.tim.2016.04.008. Epub 2016 May 12.

Abstract

In HIV patients, the set-point viral load (SPVL) is the most widely used predictor of disease severity. Yet SPVL varies over several orders of magnitude between patients. The heritability of SPVL quantifies how much of the variation in SPVL is due to transmissible viral genetics. There is currently no clear consensus on the value of SPVL heritability, as multiple studies have reported apparently discrepant estimates. Here we illustrate that the discrepancies in estimates are most likely due to differences in the estimation methods, rather than the study populations. Importantly, phylogenetic estimates run the risk of being strongly confounded by unrealistic model assumptions. Care must be taken when interpreting and comparing the different estimates to each other.

摘要

在 HIV 患者中,固定病毒载量(SPVL)是最广泛用于预测疾病严重程度的指标。然而,SPVL 在患者之间存在几个数量级的差异。SPVL 的遗传力量化了 SPVL 变异中有多少是由于可传播的病毒遗传因素引起的。目前,对于 SPVL 遗传力的价值还没有明确的共识,因为多项研究报告了明显不一致的估计值。在这里,我们表明,估计值的差异很可能是由于估计方法的不同,而不是研究人群的不同。重要的是,系统发育估计存在被不切实际的模型假设严重混淆的风险。在相互解释和比较不同的估计值时,必须谨慎行事。

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