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Sequential genome-wide association studies for monitoring adverse events in the clinical evaluation of new drugs
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Kelly, Patrick, Stallard, Nigel, Zhou, Yinghui, Whitehead, John and Bowman, Clive (2006) Sequential genome-wide association studies for monitoring adverse events in the clinical evaluation of new drugs. Statistics in Medicine, Vol.25 (No.18). pp. 3081-3092. doi:10.1002/sim.2499 ISSN 0277-6715.
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Official URL: http://dx.doi.org/10.1002/sim.2499
Abstract
Pharmacovigilance, the monitoring of adverse events (AEs), is an integral part in the clinical evaluation of a new drug. Until recently, attempts to relate the incidence of AEs to putative causes have been restricted to the evaluation of simple demographic and environmental factors. The advent of largescale genotyping, however, provides an opportunity to look for associations between AEs and genetic markers, such as single nucleotides polymorphisms (SNPs). It is envisaged that a very large number of SNPs, possibly over 500 000, will be used in pharmacovigilance in an attempt to identify any genetic difference between patients who have experienced an AE and those who have not.
We propose a sequential genome-wide association test for analysing AEs as they arise, allowing evidence-based decision-making at the earliest opportunity. This gives us the capability of quickly establishing whether there is a group of patients at high-risk of an AE based upon their DNA. Our method provides a valid test which takes account of linkage disequilibrium and allows for the sequential nature of the procedure. The method is more powerful than using a correction, such as Sidak, that assumes that the tests are independent. Copyright (c) 2006 John Wiley & Sons, Ltd.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QH Natural history > QH301 Biology R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine R Medicine Q Science > QA Mathematics |
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Divisions: | Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School | ||||
Journal or Publication Title: | Statistics in Medicine | ||||
Publisher: | John Wiley & Sons Ltd. | ||||
ISSN: | 0277-6715 | ||||
Official Date: | 30 September 2006 | ||||
Dates: |
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Volume: | Vol.25 | ||||
Number: | No.18 | ||||
Number of Pages: | 12 | ||||
Page Range: | pp. 3081-3092 | ||||
DOI: | 10.1002/sim.2499 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Funder: | GlaxoSmithKline | ||||
Grant number: | G3014 |
Data sourced from Thomson Reuters' Web of Knowledge
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