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Updated: May 24, 2026

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

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Genetic Polymorphisms as Risk Stratification Tool in Primary Preventive ICD Therapy.

Roman Laszlo¹, Mathias C Busch, Jüergen Schreieck

¹Abteilung für Kardiologie und Kreislauferkrankungen, Klinikum der Eberhard-Karls-Universität Tübingen, 72076 Tübingen, Germany.

ISRN Cardiology

|February 21, 2012

Summary

Identifying patients for implantable cardioverter-defibrillators (ICDs) for sudden cardiac death (SCD) prevention is challenging. Genetic polymorphisms may offer a new way to improve risk stratification for primary SCD prevention.

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Published on: January 16, 2019

Area of Science:

Cardiology
Genetics
Preventive Medicine

Background:

Implantable cardioverter-defibrillators (ICDs) are increasingly used for primary prevention of sudden cardiac death (SCD).
Current noninvasive risk stratification methods lack sufficient predictive value, leading to suboptimal ICD implantation and continued SCD mortality.
There is a critical need for improved tools to identify high-risk individuals for primary preventive ICD implantation.

Purpose of the Study:

To explore the potential of genetic polymorphisms in improving risk stratification for sudden cardiac death (SCD).
To investigate if an individual's pattern of genetic polymorphisms can enhance the selection of patients for primary preventive ICD implantation.

Main Methods:

Review of epidemiological studies linking hereditary factors to SCD risk.
Analysis of the role of genetic polymorphisms in arrhythmogenesis.
Proposal for utilizing individual "patterns" of genetic polymorphisms for risk assessment.

Main Results:

Epidemiological data suggest a hereditary component to sudden cardiac death (SCD).
Individual susceptibility to arrhythmogenic events may be influenced by genetic polymorphisms.
A personalized pattern of genetic polymorphisms could potentially refine SCD risk stratification.

Conclusions:

Genetic polymorphisms represent a promising area for developing novel tools in SCD risk stratification.
Assessing an individual's genetic polymorphism profile may lead to more accurate patient selection for primary preventive ICDs.
This approach could optimize ICD utilization and reduce SCD incidence in high-risk populations.