Personal Genomic Measurements: The Opportunity for Information Integration
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 (diag...
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Veröffentlicht in: | Clinical pharmacology and therapeutics 2013-01, Vol.93 (1), p.21-23 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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.
Clinical Pharmacology & Therapeutics (2013); 93 1, 21–23. doi:10.1038/clpt.2012.203 |
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ISSN: | 0009-9236 1532-6535 |
DOI: | 10.1038/clpt.2012.203 |