Title |
Evolving Approaches to Genetic Evaluation of Specific Cardiomyopathies
|
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Published in |
Current Heart Failure Reports, October 2015
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DOI | 10.1007/s11897-015-0271-7 |
Pubmed ID | |
Authors |
Loon Yee Louis Teo, Rocio T. Moran, W. H. Wilson Tang |
Abstract |
The understanding of the genetic basis of cardiomyopathy has expanded significantly over the past 2 decades. The increasing availability, shortening diagnostic time, and lowering costs of genetic testing have provided researchers and physicians with the opportunity to identify the underlying genetic determinants for thousands of genetic disorders, including inherited cardiomyopathies, in effort to improve patient morbidities and mortality. As such, genetic testing has advanced from basic scientific research to clinical application and has been incorporated as part of patient evaluations for suspected inherited cardiomyopathies. Genetic evaluation framework of inherited cardiomyopathies typically encompasses careful evaluation of family history, genetic counseling, clinical screening of family members, and if appropriate, molecular genetic testing. This review summarizes the genetics, current guideline recommendations, and evidence supporting the genetic evaluation framework of five hereditary forms of cardiomyopathy: dilated cardiomyopathy (DCM), hypertrophic cardiomyopathy (HCM), arrhythmogenic right ventricular cardiomyopathy (ARVC), restrictive cardiomyopathy (RCM), and left ventricular noncompaction (LVNC). |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 2 | 5% |
Unknown | 41 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 16% |
Other | 6 | 14% |
Student > Bachelor | 6 | 14% |
Professor | 3 | 7% |
Student > Postgraduate | 3 | 7% |
Other | 9 | 21% |
Unknown | 9 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 15 | 35% |
Biochemistry, Genetics and Molecular Biology | 11 | 26% |
Agricultural and Biological Sciences | 3 | 7% |
Computer Science | 1 | 2% |
Psychology | 1 | 2% |
Other | 1 | 2% |
Unknown | 11 | 26% |