Personal Genomic Measurements: The Opportunity for Information Integration. Issue 1 (10th October 2012)

• Record Type: Journal Article
• Authors: Altman, R B
• Is Part Of: Clinical pharmacology & therapeutics. Volume 93:Issue 1(2013)
• Page Start: 21
• Page End: 23
• Publication Date: 2012-10-10
• Subjects: Pharmacology -- Periodicals; Therapeutics -- Periodicals; 615.5
• DOI: 10.1038/clpt.2012.203
• Languages: English
• ISSNs: 0009-9236

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <p>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 <italic>a priori</italic> probabilities that can be combined with individual measurements to compute <italic>a posteriori</italic> estimates using Bayes' rule. Thus, the integration of population science with individual genomic measurements will enable the practice of personalized medicine.</p> <p> <italic>Clinical Pharmacology &amp; Therapeutics</italic> (2013); <bold>93</bold> 1, 21–23. doi:<ext-link ext-link-type="doi" xlink:type="simple" xmlns:xlink="http://www.w3.org/1999/xlink">10.1038/clpt.2012.203</ext-link></p> </abstract>