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Risk of Sudden Coronary Death Based on Genetic Background in Chinese Han Population

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Journal Exp Ther Med
Specialty Pathology
Date 2021 Aug 27
PMID 34447461
Citations 1
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Abstract

Associations between gene variations and sudden cardiac arrest or coronary artery disease have been reported by genome-wide association studies. However, the implication of the genetic status in cases of sudden coronary death (SCD) from the Chinese Han population has remained to be investigated. The present study established a mini-sequencing system to examine putative death-causing single nucleotide polymorphisms (SNPs) using multiplex PCR, single base extension reaction and capillary electrophoresis techniques. A total of 198 samples from the Chinese Han population (age range, 34-71 years; mean age, 53.86 years) were examined using this method. Samples were classified into three groups: Coronary heart disease (CHD, n=70), SCD (n=53) and control (n=75) group. Significant associations were identified for 10, 4 and 6 SNPs in CHD, SCD and sudden death from CHD, respectively, using the χ test. The SNPs obtained by binary logistic regression may be used to assess and predict the risk of disease. The predictive accuracy of the SNPs in each prediction model and their area under the receiver operating characteristic curve (AUC) values were determined. The AUC of the four SNPs (rs12429889, rs10829156, rs16942421 and rs12155623) to predict CHD was 0.928, the AUC of the six SNPs (rs2389202, rs2982694, rs10183640, rs597503, rs16942421 and rs12155623) to predict SCD was 0.922 and the AUC of the four SNPs (rs16866933, rs4621553, rs10829156 and rs12155623) to predict sudden death from CHD was 0.912. The multifactor dimensionality reduction values were as follows: 0.8690 (prediction model of CHD), 0.7601 (prediction model of SCD) and 0.7628 (prediction model of sudden death from CHD). Taken together, the results of the present study suggested that these SNPs have considerable potential for application in genetic tests to predict CHD or SCD. However, further studies are required to investigate the putative functions of these SNPs.

Citing Articles

Characterization of global research trends and prospects on sudden coronary death: A literature visualization analysis.

Luo L, Zhao C, Chen N, Dong Y, Li Z, Bai Y Heliyon. 2023; 9(8):e18586.

PMID: 37576229 PMC: 10413084. DOI: 10.1016/j.heliyon.2023.e18586.

References
1.
Zegard A, Okafor O, De Bono J, Kalla M, Lencioni M, Marshall H . Myocardial Fibrosis as a Predictor of Sudden Death in Patients With Coronary Artery Disease. J Am Coll Cardiol. 2021; 77(1):29-41. DOI: 10.1016/j.jacc.2020.10.046. View

2.
Emdin C, Haas M, Ajmera V, Simon T, Homburger J, Neben C . Association of Genetic Variation With Cirrhosis: A Multi-Trait Genome-Wide Association and Gene-Environment Interaction Study. Gastroenterology. 2020; 160(5):1620-1633.e13. PMC: 8035329. DOI: 10.1053/j.gastro.2020.12.011. View

3.
Bastos da Silva I, Batista T, Martines R, Kanamura C, Ferreira I, Vidal J . Genotyping of Toxoplasma gondii: DNA extraction from formalin-fixed paraffin-embedded autopsy tissues from AIDS patients who died by severe disseminated toxoplasmosis. Exp Parasitol. 2016; 165:16-21. DOI: 10.1016/j.exppara.2016.03.004. View

4.
Thomas P, Sridurongrit S, Ruiz-Lozano P, Kaartinen V . Deficient signaling via Alk2 (Acvr1) leads to bicuspid aortic valve development. PLoS One. 2012; 7(4):e35539. PMC: 3334911. DOI: 10.1371/journal.pone.0035539. View

5.
Naik A . Long QT syndrome revisited. J Assoc Physicians India. 2008; 55 Suppl:58-61. View