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ShareScienceDaily (Feb. 25, 2010) — Researchers from the Ohio State University have developed a rapid, multiplexed genotyping method to identify the single nucleotide polymorphisms (SNPs) that affect warfarin dose.
Warfarin is an anti-coagulant that is commonly used to prevent blood clots and embolism. However, warfarin dosing is complicated by the fact that it interacts with many commonly used medications and even chemicals in some foods. Certain genetic variations, SNPs, also affect warfarin sensitivity and metabolism.
A group led by Dr. Haifeng M. Wu of the Ohio State University has developed a new rapid method to genotype SNPs that will help clinicians to choose appropriate doses of warfarin for individual patients. Using surface-enhanced laser desorption and ionization time-of-flight mass spectrometry (SELDI-TOF MS), which can determine the elemental composition of a sample, Yang et al could determine the genotype of three warfarin-related SNPs in under five hours with high levels of accuracy.
Yang et al suggest that "on-site application of this method in hospital laboratories will greatly help clinicians to determine appropriate doses of warfarin to treat patients with thromboembolic disorders." In future studies, Dr Wu and colleagues plan to apply the SELDI-TOF platform to genotype other medically important SNPs that influence the efficacy and safety profiles of many drug therapies and ultimately to promote personalized health care at Ohio State University .
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The above story is reprinted from materials provided by American Journal of Pathology, via EurekAlert!, a service of AAAS.
Note: Materials may be edited for content and length. For further information, please contact the source cited above.
Journal Reference:
- Yang S, Xu L, Wu HM. Rapid Genotyping of SNPs Influencing Warfarin Drug Response by SELDI-TOF Mass Spectrometry. J Mol Diagn, 2010, 162-168
Note: If no author is given, the source is cited instead.
Disclaimer: This article is not intended to provide medical advice, diagnosis or treatment. Views expressed here do not necessarily reflect those of ScienceDaily or its staff.
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