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

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

*Corresponding author for this work

Research output: Contribution to journalShort surveypeer-review

Abstract / Description of output

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
Pages (from-to)361-366
Number of pages6
JournalDrug Discovery Today
Volume19
Issue number4
Early online date14 Nov 2013
DOIs
Publication statusPublished - 1 Apr 2014

Fingerprint

Dive into the research topics of 'Development of predictive genetic tests for improving the safety of new medicines: The utilization of routinely collected electronic health records'. Together they form a unique fingerprint.

Cite this