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Polygenic Risk Scores in Dilated Cardiomyopathy: Towards the Future.
Daria R Kramarenko1,2, Sean J Jurgens1,3,4, Yigal M Pinto1,2,5
1Department of Experimental Cardiology, Amsterdam Cardiovascular Sciences, Heart Failure & Arrhythmias, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands.
Genome-wide association studies (GWASs) have identified genetic variations linked to dilated cardiomyopathy (DCM). Polygenic scores (PGSs) derived from these studies show promise for assessing DCM risk and guiding patient management.
Area of Science:
- Genetics
- Cardiology
- Genomic Medicine
Background:
- Genome-wide association studies (GWASs) have revealed significant associations between common genetic variations and the risk of developing dilated cardiomyopathy (DCM).
- This has led to the development of polygenic scores (PGSs) to quantify overall genetic predisposition to DCM.
Purpose of the Study:
- To review the latest findings from GWASs and PGSs for DCM.
- To explore the potential of PGSs in improving the clinical management of DCM patients and individuals at risk.
Main Methods:
- Review of recent large-scale GWAS meta-analyses for DCM published in 2024.
- Analysis of the performance of polygenic scores (PGSs) in discriminating between DCM patients and healthy individuals.
Main Results:
- The largest GWAS meta-analyses for DCM in 2024 yielded PGSs capable of differentiating DCM patients from healthy controls.
- These PGSs demonstrate strong associations with DCM risk, indicating potential for clinical utility.
Conclusions:
- Common genetic variants identified through GWASs are crucial for understanding DCM etiology.
- PGSs show promise for clinical application in DCM risk assessment and management, pending further validation in diverse populations and real-world settings.
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