ABSTRACT
Cardiovascular disease is a major health concern globally. Genetic testing is an attractive tool for cardiovascular disease prediction because it is a low-cost, high-fidelity technology with multiplex capability. Developments in genomic discovery have yielded valuable new candidates in the quest for better biomarkers and novel therapeutic targets. This brief review focuses on recent trends in biomarkers of cardiovascular disease. DNA microarrays, single nucleotide polymorphism chips, linkage analysis, genome-wide association studies, and other strategies have increased our knowledge of metabolic diseases of the heart. This review also examines the potential applications and challenges of using genetic information for predicting cardiovascular disease.