Polygene Risk Scores

James Woodward, K. Kendler
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引用次数: 1

Abstract

This paper explores the interpretation and use of polygenic risk scores (PRSs). We argue that PRSs generally do not directly embody causal information. Nonetheless, they can assist us in tracking other causal relationships concerning genetic effects. Although their purely  predictive/correlational use is important, it is this tracking feature that contributes to their potential usefulness in other applications, such as genetic dissection, and their use as controls, which allow us, indirectly, to "see" more clearly the role of environmental variables.
多基因风险评分
本文探讨了多基因风险评分(PRSs)的解释和使用。我们认为prs一般不直接体现因果信息。尽管如此,它们可以帮助我们追踪与基因影响有关的其他因果关系。虽然它们纯粹的预测性/相关性用途很重要,但正是这种跟踪特性有助于它们在其他应用中的潜在用途,例如遗传解剖,以及它们作为控制的使用,这使我们间接地“看到”更清楚地了解环境变量的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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