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Published on: March 3, 2021
Morphomechanic phenotypic variability of sarcomeric cardiomyopathies: A multifactorial polygenic perspective
1Duke/NSF Center for Emerging Cardiovascular Technologies, Emeritus Faculty of Surgery and of Biomedical Engineering, Duke University School of Medicine and Graduate School, Durham, NC, USA.
Next-generation sequencing advances hypertrophic (HCM) and dilated (DCM) cardiomyopathy diagnosis. Future genomics research will integrate multifactorial variant models for personalized cardiology.
Area of Science:
- Genetics
- Cardiology
- Bioinformatics
Background:
- Sarcomeric cardiomyopathies (CMs) are classified by morphology into hypertrophic (HCM) and dilated (DCM).
- Next-generation DNA sequencing (NGS) has improved CM diagnosis, management, and prognosis.
- Monogenic analyses overlook complex genetic interactions influencing CM phenotypes.
Purpose of the Study:
- To review the successes and challenges of genetic and genomic approaches in cardiomyopathies.
- To explore the impact of these approaches on current and future clinical care.
- To highlight the need for multifactorial variant models in understanding genotype-phenotype correlations.
Main Methods:
- Review of current literature on genetic and genomic studies in cardiomyopathies.
- Discussion of limitations of monogenic analyses and the role of complex genetic concepts (pleiotropy, heterogeneity, incomplete penetrance, variable expressivity).
- Exploration of modern genomics integrating electronic health records, genome-wide association studies, advanced imaging, and systems biology.
Main Results:
- NGS has significantly advanced CM diagnosis and management.
- Complex genetic interactions and multifactorial variant models are crucial for understanding CM phenotypes.
- Personalized medicine and novel therapeutic targets can be fostered through advanced genomic analyses.
Conclusions:
- Genetic and genomic approaches have transformed cardiomyopathies care.
- Future research must embrace multifactorial variant models and integrate diverse data sources for precise genotype-phenotype correlations.
- Personalized cardiology holds promise for improved patient outcomes in HCM and DCM.
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