Pharmacogenetics and Pharmacogenomics: Statistical Challenges in Design and Analysis

Can genetic information help predict an individual’s reaction to a drug? Can the process of dosing medication be improved from the current trial-and-error approach by knowing a patient’s genetic fingerprint? Can drug and dosage optimization reduce the chances of an adverse drug reaction?

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Studies in pharmacogenetics (PGt) attempt to answer these important questions. From our vantage point as pharmacogenetic researchers, the design and analysis of PGt research bring interesting challenges to professionals in our field. Statisticians will continue to have a critical role in addressing the design and analytical challenges. Consequently, it is important for statisticians to learn about the science of PGt research. It also is important that professionals in PGt research strive to gain a sense of statistical issues and conundrums that arise in their studies.

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