4.4 Article

Risk of sudden coronary death based on genetic background in Chinese Han population

Journal

EXPERIMENTAL AND THERAPEUTIC MEDICINE
Volume 22, Issue 4, Pages -

Publisher

SPANDIDOS PUBL LTD
DOI: 10.3892/etm.2021.10502

Keywords

sudden coronary death; SNaPshot; single nucleotide polymorphism; coronary heart disease; capillary electrophoresis

Funding

  1. Basic Public Welfare Planning Project of Zhejiang Province, China [LGD19C040001]
  2. Sci-Tech Planning Project of Jiaxing, China [2020AY30004]
  3. Natural Science Foundation of China [30900593]
  4. Shanxi Scholarship Council of China [2016-055]
  5. Key Research and Development Projects of Shanxi Province [201803D31069]

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This study investigated the association of gene variations with sudden cardiac arrest and coronary artery disease in the Chinese Han population. The findings suggest that certain SNPs may be useful for predicting the risk of CHD and SCD. Further research is needed to explore the potential functions of these SNPs.
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 chi(2) 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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