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Association between TagSNPs and the risk of myocardialinfarction. | LitMetric

Association between TagSNPs and the risk of myocardialinfarction.

Postgrad Med J

Institute of Aging Research, Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Guangdong Medical University, Dongguan, China

Published: September 2019

AI Article Synopsis

  • This study investigates the effect of specific single nucleotide polymorphisms (SNPs) on the risk of myocardial infarction (MI), as previous research has shown mixed results regarding their impact on cardiovascular diseases.! -
  • Genotyping was done on four tagSNPs in a sample of 232 MI cases and 661 controls, where a significant association was found between the SNP rs3825807 and increased MI risk, particularly in older individuals and those with high blood pressure.! -
  • The study concludes that rs3825807 may play a role in MI susceptibility among the Chinese Han population, suggesting the need for further research to validate these findings and explore the underlying biological mechanisms.!

Article Abstract

Purpose Of The Study: Genome-wide association studies have revealed an association of polymorphisms with the risk of cardiovascular diseases. Nonetheless, the role of polymorphisms on myocardial infarction (MI) risk remains poorly understood. Here, we aim to evaluate the effect of tag single nucleotide polymorphisms (SNPs) on individual susceptibility to MI.

Study Design: Genotyping of the four tagSNPs (rs1994016, rs3825807, rs4380028 and rs7173743) was performed in 232 MI cases and 661 control subjects using PCR-ligase detection reaction (LDR) method. The association of these four tagSNPs with MI risk was performed with SPSS software.

Results: Multivariate logistic regression analysis showed that tagSNP rs3825807 exhibited a significant effect on MI risk. Compared with the TT homozygotes, the CT genotype (OR1.93, 95% CI1.30to 2.85, P=0.004) and the combined CC/CT genotypes (OR1.70, 95% CI1.16 to 2.50, P=0.028) were statistically significantly associated with the increased risk for MI. Further stratified analysis revealed a more significant association with MI risk among older subjects, hypertensives, non-diabetics and patients with hyperlipidaemia. Consistently, the haplotype rs1994016T-rs3825807C containing rs3825807 C allele exhibited increased MI risk (OR1.52, 95% CI1.10 to 2.10, p=0.010). However, we did not detect any association of the other three tagSNPs with MI risk.

Conclusions: Our finding suggest that tagSNP rs3825807 contributes to MI susceptibility in the Chinese Han population. Further studies are necessary to confirm the general validity of our findings and to clarify the underlying mechanism for this association.

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Source
http://dx.doi.org/10.1136/postgradmedj-2019-136459DOI Listing

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