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从多基因风险评分的基础科学到临床应用:入门指南。

From Basic Science to Clinical Application of Polygenic Risk Scores: A Primer.

作者信息

Wray Naomi R, Lin Tian, Austin Jehannine, McGrath John J, Hickie Ian B, Murray Graham K, Visscher Peter M

机构信息

Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia.

Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia.

出版信息

JAMA Psychiatry. 2021 Jan 1;78(1):101-109. doi: 10.1001/jamapsychiatry.2020.3049.

Abstract

IMPORTANCE

Polygenic risk scores (PRS) are predictors of the genetic susceptibilities of individuals to diseases. All individuals have DNA risk variants for all common diseases, but genetic susceptibility differences between people reflect the cumulative burden of these. Polygenic risk scores for an individual are calculated as weighted counts of thousands of risk variants that they carry, where the risk variants and their weights have been identified in genome-wide association studies. Here, we review the underlying basic science of PRS, providing a foundation for understanding the potential clinical utility and limitations of PRS.

OBSERVATIONS

Polygenic risk scores can be calculated for a wide range of diseases from a saliva or blood sample using genotyping technologies that are inexpensive. While genotyping only needs to be done once for each individual in their lifetime, the PRS can be recalculated as identification of risk variants improves. On their own, PRS will never be able to establish or definitively predict future diagnoses of common complex conditions because genetic factors only contribute part of the risk, and PRS will only ever capture part of the genetic contributions. Nonetheless, just as clinical medicine uses a multitude of other predictive measures, PRS either on their own or as part of multivariable predictive algorithms could play a role.

CONCLUSIONS AND RELEVANCE

Utility of PRS in clinical medicine and ethical issues related to their use should be evaluated in the context of realistic expectations of what PRS can and cannot deliver. For different diseases, PRS could have utility in community settings (stratification to better triage people into established screening programs) or could contribute to clinical decision-making for those presenting with symptoms but where formal diagnosis is unclear. In principle, PRS could contribute to treatment choices, but more data are needed to allow development of PRS in this context.

摘要

重要性

多基因风险评分(PRS)是个体对疾病遗传易感性的预测指标。所有个体都存在所有常见疾病的DNA风险变异,但人与人之间的遗传易感性差异反映了这些变异的累积负担。个体的多基因风险评分是通过对其携带的数千个风险变异进行加权计数来计算的,其中风险变异及其权重已在全基因组关联研究中确定。在此,我们回顾PRS的基础科学知识,为理解PRS的潜在临床应用价值和局限性提供基础。

观察结果

使用价格低廉的基因分型技术,可从唾液或血液样本中为多种疾病计算多基因风险评分。虽然每个个体一生中只需进行一次基因分型,但随着风险变异识别的改进,PRS可以重新计算。仅凭PRS永远无法确定或明确预测常见复杂疾病的未来诊断,因为遗传因素仅构成部分风险,且PRS只能捕捉部分遗传贡献。尽管如此,正如临床医学使用众多其他预测措施一样,PRS单独使用或作为多变量预测算法的一部分都可能发挥作用。

结论与相关性

应在对PRS所能提供和不能提供的内容有现实期望的背景下,评估PRS在临床医学中的实用性及其使用相关的伦理问题。对于不同疾病,PRS在社区环境中可能有用(分层以便更好地将人群分类到既定的筛查项目中),或者可以为有症状但正式诊断不明确的患者的临床决策提供帮助。原则上,PRS可以为治疗选择提供帮助,但在此背景下开发PRS还需要更多数据。

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