Key result
Six-SNP prediction model accurately predicts sudden coronary death with ~0.92 AUC.
Why the study?
The implication of genetic status in sudden coronary death in the Chinese Han population had not been investigated.
Case-Control (n=198)
Effect estimate: AUC 0.922
p-value: p=<0.0001
May support genetic risk stratification in Chinese Han adults; leaves open prospective validation before clinical use.
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 χ2 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.
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Zhang et al. (2021) conducted a case-control in Sudden coronary death and coronary heart disease (n=198). Genetic variations (SNPs) vs. Control group (no CHD/SCD) was evaluated on Prediction of sudden coronary death (SCD) using a 6-SNP model (AUC 0.922, p=<0.0001). A prediction model incorporating six single nucleotide polymorphisms demonstrated high accuracy in predicting sudden coronary death with an AUC of 0.922 in the Chinese Han population.
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