Clinical Application of Genetic Testing in Heart Failure

Genomic Context Differs Between Human Dilated Cardiomyopathy and Hypertrophic Cardiomyopathy

Background Inherited cardiomyopathies display variable penetrance and expression, and a component of phenotypic variation is genetically determined. To evaluate the genetic contribution to this variable expression, we compared protein coding variation in the genomes of those with hypertrophic cardiomyopathy (HCM) and dilated cardiomyopathy (DCM). Methods and Results Nonsynonymous single-nucleotide variants (nsSNVs) were ascertained using whole genome sequencing from familial cases of HCM (n=56) or DCM (n=70) and correlated with echocardiographic information. Focusing on nsSNVs in 102 genes linked to inherited cardiomyopathies, we correlated the number of nsSNVs per person with left ventricular measurements. Principal component analysis and generalized linear models were applied to identify the probability of cardiomyopathy type as it related to the number of nsSNVs in cardiomyopathy genes. The probability of having DCM significantly increased as the number of cardiomyopathy gene nsSNVs per person increased. The increase in nsSNVs in cardiomyopathy genes significantly associated with reduced left ventricular ejection fraction and increased left ventricular diameter for individuals carrying a DCM diagnosis, but not for those with HCM. Resampling was used to identify genes with aberrant cumulative allele frequencies, identifying potential modifier genes for cardiomyopathy. Conclusions Participants with DCM had more nsSNVs per person in cardiomyopathy genes than participants with HCM. The nsSNV burden in cardiomyopathy genes did not correlate with the probability or manifestation of left ventricular measures in HCM. These findings support the concept that increased variation in cardiomyopathy genes creates a genetic background that predisposes to DCM and increased disease severity.

A Global Review on the Utility of Genetic Testing for Familial Hypercholesterolemia

Familial hypercholesterolemia (FH) is a genetic disorder of cholesterol metabolism that affects an estimated 1/250 persons in the United States and abroad. FH is hallmarked by high low-density lipoprotein (LDL) cholesterol and an increased risk of premature atherosclerotic cardiovascular disease. This review summarizes recent global evidence showing the utility of FH genetic testing across diverse populations. Clinical and other qualitative outcomes following FH genetic testing were improved FH diagnosis, treatment initiation or continued treatment, treatment modification, improved total or LDL cholesterol levels, education on lifestyle management, and genetic counseling. This summary of evidence should be considered by those seeking overall evidence and knowledge gaps on the utility of FH genetic testing from a global perspective and for certain ethnic and age populations. These findings can be used to inform insurance policies and coverage decisions for FH genetic testing, policy recommendations to reduce the clinical and public health burden of FH, clinical practice and guidelines to improve the management of FH populations, and ongoing research involving FH genetic testing. We conclude that further investigations are needed to examine: (1) non-clinical outcomes following FH genetic testing; (2) patient-reported outcomes following FH genetic testing to convey patient experiences, values, and goals; and (3) clinical outcomes following FH genetic testing in non-Caucasian and pediatric populations in the United States and abroad.

Heart Failure in the Era of Precision Medicine: A Scientific Statement From the American Heart Association

One of 5 people will develop heart failure over his or her lifetime. Early diagnosis and better understanding of the pathophysiology of this disease are critical to optimal treatment. The "omics"-genomics, pharmacogenomics, epigenomics, proteomics, metabolomics, and microbiomics- of heart failure represent rapidly expanding fields of science that have, to date, not been integrated into a single body of work. The goals of this statement are to provide a comprehensive overview of the current state of these omics as they relate to the development and progression of heart failure and to consider the current and potential future applications of these data for precision medicine with respect to prevention, diagnosis, and therapy.

Genetic cardiomyopathies

PURPOSE OF REVIEW

To describe recent advancements in cardiovascular genetics made possible by leveraging next-generation sequencing (NGS), and to provide a framework for practical applications of genetic testing for hypertrophic (HCM), dilated (DCM), and arrhythmogenic right ventricular cardiomyopathies (ARVC).

RECENT FINDINGS

The availability of NGS has made possible extensive reference databases. These, combined with recent initiatives to compile previously siloed commercial and research cardiomyopathy data sets, provide a more powerful and precise approach to cardiovascular genetic medicine. HCM, DCM and ARVC are cardiomyopathies usually inherited in an autosomal dominant pattern. Over 1000 pathogenic mutations have been identified: HCM in genes encoding proteins of the sarcomere, and ARVC in genes encoding proteins of the desosome. DCM shows considerably more diverse ontology, suggesting more complex pathophysiology. In addition to allelic and locus heterogeneity, reduced penetrance and variable expressivity among affected individuals can make the clinical diagnosis of 'familial cardiomyopathy' less apparent.

SUMMARY

Current evidence supports the use of genetic testing in clinical practice to improve risk stratification for clinically affected patients and their at-risk relatives for hypertrophic, arrhythmogenic, and dilated cardiomyopathies. Understanding how to implement genetic testing and to evaluate at-risk family members, provide clinical implications of results as well as discuss limitations of genetic testing is essential to improving personalized care.