Consisting of contributions from experts in all specialties of cardiovascular genetics and applied clinical cardiology, Principles and Practice of Clinical Cardiovascular Genetics serves as the comprehensive volume for any clinician or resident in cardiology and genetics. Each chapter provides a detailed and comprehensive account on the molecular genetics and clinical practice related to specific disorders or groups of disorders, including Marfan syndrome, thoracic and abdominal aortic aneurysms, hypertrophic, dilated and restrictive cardiomyopathies and Arrhythmogenic right ventricular cardiomyopathy, as well as many others. All sections comprehensively address cardiovasuclar genetic disorders, beginning with an introduction and including separate sections on the disease’s basic biological aspects, specific genetic mechanisms or issues, clinical aspects, genetic management (e.g., genetic diagnosis, risk assessment, genetic counseling, genetic testing), and clinical management issues. The final section exclusively addresses the management of cardiovascular genetic disorders, specifically considering stem cell therapy, genetic counseling, pharmacogenomics and the social and ethical issues surrounding disease treatment.
An important milestone in medicine has been the recent completion of the Human Genome Project. The identification of 30,000 genes and their regulatory proteins provides the framework for understanding the metabolic basis of disease. This advance has also laid the foundation for a broad range of genomic tools that have opened the way for targeted genetic testing in a number of medical disorders. This book is designed to be the first major text to discuss genomics-based advances in disease susceptibility, diagnosis, prognostication, and prediction of treatment outcomes in various areas of medicine. After building a strong underpinning in the basic concepts of genomics, the authors of this book, all leaders in the field, proceed to discuss a wide range of clinical areas and the applications now afforded by genomic analysis.