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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Risk Factors and Genetic Insights into Coronary Artery Disease-Related Sudden Cardiac Death: A Molecular Analysis of
Xiangwang He1, Linfeng Li1, Dianyi Zhou1
1Department of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Science, Sichuan University, Chengdu 610041, China.
Insights
Sudden cardiac death in coronary artery disease patients is linked to nocturnal timing, winter months, and specific coronary artery conditions. Genetic factors, including rare variants and polygenic risk scores, also significantly increase the risk.
Area of Science:
- Cardiology
- Genetics
- Forensic Pathology
Background:
- Sudden cardiac death (SCD) is a significant cause of mortality in patients with coronary artery disease (CAD).
- Identifying specific risk factors for SCD in CAD patients is crucial for prevention strategies.
Purpose of the Study:
- To identify risk factors for coronary artery disease-related sudden cardiac death (SCDCAD).
- To investigate the role of rare genetic variants and polygenic risk scores in SCDCAD.
Main Methods:
- Utilized autopsy data from 241 SCDCAD cases and 241 controls.
- Performed whole-exome sequencing on myocardial tissue.
- Applied polygenic risk score (PRS) analysis and in silico prediction of rare variant pathogenicity.
Main Results:
- Nocturnal timing, winter season, multiple vessel occlusion, right coronary artery stenosis, and unstable plaque were identified as significant risk factors for SCDCAD.
- A polygenic risk score was associated with a 60% increased risk of SCDCAD.
- Genetic analysis implicated MUC19 and CGN genes in SCDCAD.
Conclusions:
- Both hereditary and acquired factors contribute to cardiac dysfunction and SCD in CAD patients.
- Findings facilitate the prevention and early recognition of individuals at high risk for SCDCAD.
Abstract:
Sudden cardiac death (SCD) is a major cause of mortality among patients with coronary artery disease (CAD). This study aimed to identify risk factors for CAD-related SCD (SCDCAD) through autopsy data and genetic screening with a particular emphasis on rare variants (minor allele frequency < 0.01). We included 241 SCDCAD cases (mean age 54.6 ± 12.8 years, 74.7% male) verified by medico-legal examination and 241 silent CAD controls (mean age 53.6 ± 15.2 years, 25.3% female) who died from severe craniocerebral trauma. Information about death characteristics was obtained from questionnaires, police reports and autopsy data. Whole-exome sequencing was performed on myocardial tissue samples. Polygenic risk score (PRS) from a previously validated model was applied and rare variant pathogenicity was predicted using in silico tools. SCDCAD victims predominantly died at night and showed higher mortality rates during summer and winter months, with more complex coronary disease. Nocturnal time (adjusted odds ratio [AOR] = 3.53, 95% CI: 2.37-5.25, p < 0.001), winter (AOR = 2.06, 95% CI: 1.33-3.20, p = 0.001), multiple vessel occlusion (AOR = 1.79, 95% CI: 1.16-2.77, p = 0.009), right coronary artery stenosis (AOR = 2.38, 95% CI: 1.54-3.68, p < 0.001) and unstable plaque (AOR = 2.17, 95% CI: 1.46-3.23, p < 0.001) were identified as risk factors of SCDCAD. The PRS score was associated with a 60% increased risk of SCDCAD (OR = 1.632 per SD, 95%CI: 1.631-1.633, p < 0.001). Genetic analysis identified MUC19 and CGN as being associated with SCDCAD. We identified both hereditary and acquired risk factors that may contribute to cardiac dysfunction and precipitate SCD in CAD patients, thereby facilitating the prevention and early recognition of high-risk individuals.
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