Wiley Interdiscip Rev Syst Biol Med - Emerging clinical applications in cardiovascular pharmacogenomics.

Tópicos

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Resumo

Over one-fourth of the 36 million annual outpatient prescriptions filled in the United States are known to have human genomic biomarker information available that predicts drug safety and efficacy, or both. However, to date, we have not systematically implemented strategies to effectively use this data in clinical practice to improve patient outcomes. Part of the difficulty has stemmed from the only modest predictive capacity of previously identified gene variants, lack of replication of data in multiple studies, and the hesitancy of the clinical community to translate data gleaned from basic and translational research to routine clinical practice. Now, additional key variants that strongly impact drug absorption, metabolism, and excretion are rapidly surfacing through the use of genome-wide association technology. Most importantly, these variants are being validated in independent cohorts of thousands of cases and controls. In the near future, the dramatic reduction in the cost of DNA sequencing will lead to further insight into the common and rare genetic variants that strongly predict our individual response to commonly used medications. The clinical community will need to be prepared to utilize this vital data in aiding their selection of the right drug for the right patient if we expect to significantly reduce the ever increasing burden of societies' most common diseases. Herein, we detail the most clinically compelling and robust examples of pharmacogenomics emerging in the field of cardiovascular disease and hopefully foretell how cardiovascular disease might be treated in the era of genomic medicine.

Resumo Limpo

onefourth million annual outpati prescript fill unit state known human genom biomark inform avail predict drug safeti efficaci howev date systemat implement strategi effect use data clinic practic improv patient outcom part difficulti stem modest predict capac previous identifi gene variant lack replic data multipl studi hesit clinic communiti translat data glean basic translat research routin clinic practic now addit key variant strong impact drug absorpt metabol excret rapid surfac use genomewid associ technolog import variant valid independ cohort thousand case control near futur dramat reduct cost dna sequenc will lead insight common rare genet variant strong predict individu respons common use medic clinic communiti will need prepar util vital data aid select right drug right patient expect signific reduc ever increas burden societi common diseas herein detail clinic compel robust exampl pharmacogenom emerg field cardiovascular diseas hope foretel cardiovascular diseas might treat era genom medicin

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