Abstract

Endothelial nitric oxide synthase (eNOS) and potassium voltage-gated channel subfamily J member 11 (KCNJ11) could be the candidate genes for coronary artery disease (CAD). This study investigated the relationship of the eNOS (rs1799983) and KCNJ11 (rs5219) polymorphisms with the presence and severity of CAD in the North Indian population. This study included 300 subjects, 150 CAD cases and 150 healthy controls. Single nucleotide polymorphism was evaluated by Polymerase chain reaction and Restriction fragment length polymorphism (PCR-RFLP). Analysis was performed by SPSS (version 21.0). We observed that KK genotype of KCNJ11E23K (rs5219) polymorphism (P=0.0001) genotypes and K allele (P=0.0001) was found to be a positive risk factor and strongly associated with CAD. In the case of eNOSG894T (rs1799983) there was no association found with CAD. These results illustrate the probability of associations between SNPs and CAD although specific genetic polymorphisms affecting ion channel function and expression have still to be clarified by further investigations involving larger cohorts.

Highlights

  • Endothelial nitric oxide synthase and potassium voltage-gated channel subfamily J member 11 (KCNJ11) could be the candidate genes for coronary artery disease (CAD)

  • This study investigated the relationship of the Endothelial nitric oxide synthase (eNOS) and KCNJ11 polymorphisms with the presence and severity of CAD in the North Indian population

  • These results illustrate the probability of associations between Single nucleotide polymorphisms (SNPs) and CAD specific genetic polymorphisms affecting ion channel function and expression have still to be clarified by further investigations involving larger cohorts

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Summary

Introduction

Endothelial nitric oxide synthase (eNOS) and potassium voltage-gated channel subfamily J member 11 (KCNJ11) could be the candidate genes for coronary artery disease (CAD). This study investigated the relationship of the eNOS (rs1799983) and KCNJ11 (rs5219) polymorphisms with the presence and severity of CAD in the North Indian population. Other worldwide studies conducted on the genetic variations in CAD risk among populations reported that the disease incidence is attributable to demographic phenomenon[5, 6]. World Health Organization in the year 2009 documented through several reports that 17.3 million deaths prevailed due to cardiovascular dis-

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