Development of predictive genetic tests for improving the safety of new medicines: the utilization of routinely collected electronic health records.

Tjeerd Van Staa, Kevin Wing, Ian Douglas, Krishnan Bhaskaran, Olaf H Klungel, Robert F Reynolds, Munir Pirmohamed, Liam Smeeth, Tjeerd P van Staa

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Serious adverse drug reactions are an important cause of hospitalization and can result in the withdrawal of licensed drugs. Genetic variation has been shown to influence adverse drug reaction susceptibility, and predictive genetic tests have been developed for a limited number of adverse drug reactions. The identification of patients with adverse drug reactions, obtaining samples for genetic analysis and rigorous evaluation of clinical test effectiveness represent significant challenges to predictive genetic test development. Using the example of serious drug-induced liver injury, we illustrate how a database of routinely collected electronic health records (EHRs) could be used to overcome these barriers by facilitating rapid recruitment to genome-wide association studies and supporting efficient randomized controlled trials of predictive genetic test effectiveness.
    Original languageEnglish
    JournalDrug discovery today
    Volume19
    Issue number4
    DOIs
    Publication statusPublished - Apr 2014

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