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Review
. 2007 Aug;23 Suppl A(Suppl A):28A-33A.
doi: 10.1016/s0828-282x(07)71003-6.

Predict, prevent and personalize: Genomic and proteomic approaches to cardiovascular medicine

Maral Ouzounian  1 , Douglas S Lee, Anthony O Gramolini, Andrew Emili, Masahiro Fukuoka, Peter P Liu
Affiliations
Review

Predict, prevent and personalize: Genomic and proteomic approaches to cardiovascular medicine

Maral Ouzounian et al. Can J Cardiol. 2007 Aug.

Abstract
in English, French

Genomic and proteomic approaches to cardiovascular medicine promise to revolutionize our understanding of disease initiation and progression. This improved appreciation of pathophysiology may be translated into avenues of clinical utility. Gene-based presymptomatic prediction of illness, finer diagnostic subclassifications and improved risk assessment tools will permit earlier and more targeted intervention. Pharmacogenetics will guide our therapeutic decisions and monitor response to therapy. Personalized medicine will require the integration of clinical information, stable and dynamic genomics, and molecular phenotyping. Bioinformatics will be crucial in translating these data into useful applications, leading to improved diagnosis, prediction, prognostication and treatment. The present paper reviews the potential contributions of genomic and proteomic approaches in developing a more personalized approach to cardiovascular medicine.

Les approches génomiques et protéomiques de la médecine cardiovasculaire promettent de révolutionner la compréhension de l’apparition et de l’évolution de la maladie. Cette meilleure appréciation de la physiopathologie peut se traduire par des solutions d’utilité clinique. La prévision présymptomatique des maladies d’après les gènes, une sous-classification diagnostique plus précise et des outils d’évaluation du risque améliorés permettront d’effectuer des interventions plus précoces et plus ciblées. La pharmacogénétique orientera les décisions thérapeutiques et la surveillance des réponses aux thérapies. La médecin personnalisée exigera l’intégration d’information clinique, de génomique stable et dynamique et du phénotypage moléculaire. La bioinformatique sera essentielle pour traduire ces données en applications utiles, afin de parvenir à une amélioration du diagnostic, de la prédiction, de la pronostication et du traitement. Le présent article contient l’analyse des apports potentiels des approches génomiques et protéomiques pour mettre au point une démarche plus personnalisée de la médecine cardiovasculaire.

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Figures

Figure 1)
Figure 1)
Personalized medicine will require the integration of clinical information, stable and dynamic genomics, and molecular phenotyping. Bioinformatics will be crucial in translating these data into useful applications, leading to improved diagnosis, prediction, prognostication and treatment
Figure 2)
Figure 2)
Gene-based presymptomatic prediction of illness, finer diagnostic subclassifications and improved risk assessment tools will permit earlier and more targeted intervention. Pharmacogenetics will guide therapeutic decisions and monitor response to therapy. SNPs Single nucleotide polymorphisms
Figure 3)
Figure 3)
Opportunities exist at every stage of disease initiation and progression to develop a personalized health plan addressing lifestyle, risk modification and disease management
See this image and copyright information in PMC

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