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Evolving Approaches to Genetic Evaluation of Specific Cardiomyopathies

Overview of attention for article published in Current Heart Failure Reports, October 2015
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Title
Evolving Approaches to Genetic Evaluation of Specific Cardiomyopathies
Published in
Current Heart Failure Reports, October 2015
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

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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%