PURPOSE OF REVIEW: Novel medical approaches and personalized medicine seek to use genetic information to 'individualize' and improve diagnosis, prevention, and therapy. The personalized management of cardiovascular disease involves a large spectrum of potential applications, from diagnostics of monogenic disorders, to prevention and management strategies based on modifier genes, to pharmacogenetics, in which individual genetic information is used to optimize the pharmacological treatments. RECENT FINDINGS: Evidence suggests that the common polymorphic variants of modifier genes could influence drug response in cardiovascular disease in a variety of areas, including heart failure, arrhythmias, dyslipidemia, and hypertension. In heart failure, common genetic variants of β-adrenergic receptors, α-adrenergic receptors, and endothelin receptors (among others) have been associated with variable response to heart failure therapies. The challenge remains to develop strategies to leverage this information in ways that personalize and optimize cardiovascular therapy based on a patient's genetic profile. SUMMARY: Although advances in technologies will continue to transition personalized medicine from the research to the clinical setting, healthcare providers will need to reshape the clinical diagnostic paradigms. Ultimately, pharmacogenetics will give providers the options for improving patient management on the basis of pharmacogenetic data.
PURPOSE OF REVIEW: Novel medical approaches and personalized medicine seek to use genetic information to 'individualize' and improve diagnosis, prevention, and therapy. The personalized management of cardiovascular disease involves a large spectrum of potential applications, from diagnostics of monogenic disorders, to prevention and management strategies based on modifier genes, to pharmacogenetics, in which individual genetic information is used to optimize the pharmacological treatments. RECENT FINDINGS: Evidence suggests that the common polymorphic variants of modifier genes could influence drug response in cardiovascular disease in a variety of areas, including heart failure, arrhythmias, dyslipidemia, and hypertension. In heart failure, common genetic variants of β-adrenergic receptors, α-adrenergic receptors, and endothelin receptors (among others) have been associated with variable response to heart failure therapies. The challenge remains to develop strategies to leverage this information in ways that personalize and optimize cardiovascular therapy based on a patient's genetic profile. SUMMARY: Although advances in technologies will continue to transition personalized medicine from the research to the clinical setting, healthcare providers will need to reshape the clinical diagnostic paradigms. Ultimately, pharmacogenetics will give providers the options for improving patient management on the basis of pharmacogenetic data.
Authors: Nicholas L Smith; Janine F Felix; Alanna C Morrison; Serkalem Demissie; Nicole L Glazer; Laura R Loehr; L Adrienne Cupples; Abbas Dehghan; Thomas Lumley; Wayne D Rosamond; Wolfgang Lieb; Fernando Rivadeneira; Joshua C Bis; Aaron R Folsom; Emelia Benjamin; Yurii S Aulchenko; Talin Haritunians; David Couper; Joanne Murabito; Ying A Wang; Bruno H Stricker; John S Gottdiener; Patricia P Chang; Thomas J Wang; Kenneth M Rice; Albert Hofman; Susan R Heckbert; Ervin R Fox; Christopher J O'Donnell; Andre G Uitterlinden; Jerome I Rotter; James T Willerson; Daniel Levy; Cornelia M van Duijn; Bruce M Psaty; Jacqueline C M Witteman; Eric Boerwinkle; Ramachandran S Vasan Journal: Circ Cardiovasc Genet Date: 2010-05-05
Authors: Stephen E Kimmel; Benjamin French; Scott E Kasner; Julie A Johnson; Jeffrey L Anderson; Brian F Gage; Yves D Rosenberg; Charles S Eby; Rosemary A Madigan; Robert B McBane; Sherif Z Abdel-Rahman; Scott M Stevens; Steven Yale; Emile R Mohler; Margaret C Fang; Vinay Shah; Richard B Horenstein; Nita A Limdi; James A S Muldowney; Jaspal Gujral; Patrice Delafontaine; Robert J Desnick; Thomas L Ortel; Henny H Billett; Robert C Pendleton; Nancy L Geller; Jonathan L Halperin; Samuel Z Goldhaber; Michael D Caldwell; Robert M Califf; Jonas H Ellenberg Journal: N Engl J Med Date: 2013-11-19 Impact factor: 91.245
Authors: Kersten M Small; Lynne E Wagoner; Albert M Levin; Sharon L R Kardia; Stephen B Liggett Journal: N Engl J Med Date: 2002-10-10 Impact factor: 91.245
Authors: Matthew R G Taylor; Dobromir Slavov; Kurt Humphrey; Lan Zhao; Jennifer Cockroft; Xiao Zhu; Philip Lavori; Michael R Bristow; Luisa Mestroni; Laura C Lazzeroni Journal: Pharmacogenet Genomics Date: 2009-01 Impact factor: 2.089
Authors: Dan M Roden; Julie A Johnson; Stephen E Kimmel; Ronald M Krauss; Marisa Wong Medina; Alan Shuldiner; Russell A Wilke Journal: Circ Res Date: 2011-09-16 Impact factor: 17.367
Authors: Goncalo R Abecasis; Adam Auton; Lisa D Brooks; Mark A DePristo; Richard M Durbin; Robert E Handsaker; Hyun Min Kang; Gabor T Marth; Gil A McVean Journal: Nature Date: 2012-11-01 Impact factor: 49.962