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Published on: August 20, 2019
Functional significance of channelopathy gene variants in unexplained death
Ivan Gando1, Hua-Qian Yang1, William A Coetzee2,3,4
1Pediatrics, NYU School of Medicine, 450 E 29th Street, ACLS 824, New York, NY, 10016, USA.
Insights
Forensic genetic testing for sudden unexplained death faces challenges with variant classification. Improved algorithms and comprehensive data are crucial for accurate diagnosis and family counseling.
Area of Science:
- Forensic Medicine
- Genetics
- Cardiology
Background:
- Sudden unexplained death (SUD) in all age groups is a forensic priority.
- Genetic factors contribute to individual vulnerability in SUD, particularly in inherited arrhythmogenic conditions.
- Current genetic testing identifies numerous variants of uncertain significance (VUS).
Purpose of the Study:
- To address the challenges in classifying genetic variants found in sudden unexplained death investigations.
- To highlight the limitations of computational algorithms and the need for functional testing of variants.
- To advocate for improved standards in forensic genetic testing.
Main Methods:
- Review of genetic testing approaches for sudden unexplained death.
- Analysis of variant classification using ACMG guidelines.
- Discussion of computational algorithms and functional testing for gene variants.
Main Results:
- Genetic testing frequently yields variants of uncertain significance (VUS) due to algorithmic inaccuracies.
- Functional testing can aid in reclassifying VUS but has limitations.
- Existing computational tools struggle with accurate pathogenicity prediction.
Conclusions:
- Forensic genetic testing requires higher standards, integrating computational predictions with functional and clinical data.
- Improving algorithms to consider multi-gene variants and collecting familial data are essential next steps.
- Rigorous evaluation, including functional data, is necessary for accurate diagnosis in sudden unexplained death cases.
Abstract:
Determining the cause of unexplained death in all age groups, including infants, is a priority in forensic medicine. The triple risk model proposed for sudden infant death syndrome involves the intersection of three risks: (1) a critical developmental period in homeostatic control (2), exogenous stressors, and (3) a vulnerable infant. Even though sex and age factor into some forms of inherited arrhythmogenic deaths in young individuals and adults, more appropriate a dual-risk disease model for adults involves exogenous stressors and a vulnerable individual. The vulnerability aspect clearly has a genetic component as underscored by a number of recent large-scale and high-throughput genetic testing studies performed in attempt to define the causes of sudden unexplained death. These studies often focus on 'cardiac' and channelopathy genes. Genetic testing often identify lists of rare or ultra-rare nonsynonymous variants, classified according to the ACMG guidelines as 'pathogenic' or 'likely pathogenic', which may form the basis of diagnostic decisions and/or family counseling. However, computer algorithms used to categorize gene variants are not completely accurate and these variants are often not functionally tested to determine their pathogenicity. Due to conflicting computational predictions, a large number of variants are labeled as 'variants of uncertain significance' or VUS. Functional testing of these VUS can greatly assist to reclassify these VUS as 'likely benign' or 'likely pathogenic'. However, functional testing has its limits and by itself cannot be used to determine cause of death. Going forward, computer algorithms must be improved to take account of variants across multiple genes and efforts must be expanded to obtain clinical, familial and segregation data. Forensic genetic testing needs to be held to the same rigorous standards as defined by the NIH Clinical Genome Resource Consortium, where functional evaluation of a channelopathy variant is only one (but important) aspect of the overall picture.
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