Personal Genomic Measurements: The Opportunity for Information Integration

被引：16

作者：

Altman, R. B. ^{[1
,2
,3
]}

机构：

[1] Stanford Univ, Dept Bioengn, Stanford, CA 94305 USA

[2] Stanford Univ, Dept Genet, Stanford, CA 94305 USA

[3] Stanford Univ, Dept Med, Stanford, CA 94305 USA

来源：

CLINICAL PHARMACOLOGY & THERAPEUTICS | 2013年 / 93卷 / 01期

关键词：

CANCER;

D O I：

10.1038/clpt.2012.203

中图分类号：

R9 [药学];

学科分类号：

100702 [药剂学];

摘要：

High-throughput genomic measurements initially emerged for research purposes but are now entering the clinic. The challenge for clinicians is to integrate imperfect genomic measurements with other information sources so as to estimate as closely as possible the probabilities of clinical events (diagnoses, treatment responses, prognoses). Population-based data provide a priori probabilities that can be combined with individual measurements to compute a posteriori estimates using Bayes'rule. Thus, the integration of population science with individual genomic measurements will enable the practice of personalized medicine.

引用

页码：21 / 23

页数：3

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