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1.
Indian Heart J ; 71(3): 263-271, 2019.
Article in English | MEDLINE | ID: mdl-31543200

ABSTRACT

INTRODUCTION: Asian Indians have a propensity for premature, severe, and diffuse coronary artery disease (CAD). Several single-nucleotide polymorphisms (SNPs) in the 'core CAD' region of the chromosomal region 9p21.3 are known to be strongly associated with CAD. OBJECTIVES: We aimed to study SNPs in the 9p21.3 region associated with CAD and premature CAD and identify their association with demographic and clinical characteristics in an Asian Indian population. METHODS: SNP genotyping was performed for 30 SNPs of the 9p21.3 region using MassARRAY® technology. Along with demographic and SNP data analysis, we also performed multivariate logistic regression analysis and multifactor dimensionality reduction analysis to study SNP-SNP and SNP-demographic/clinical variable interactions. RESULTS: Our results suggest that females are at a higher risk of premature CAD. We found that SNPs rs1333045 (CC), rs16905599 (AA), rs2383206 (GG), rs2383208 (AG), and rs4977574 (GG) were significantly associated with premature CAD. When adjusted for covariates/confounders, we found that rs2383206 showed the strongest risk association with CAD followed by rs16905599 and rs2383208. Further, SNPs rs1333049 (CC) and rs4977574 (GG) were found to be exclusively associated with premature CAD cases, suggesting their potential as genetic markers for premature CAD in the local population. Upon gender-based stratification, it was found that rs10757272 (TT and TC) is significantly associated with eightfold to ninefold CAD risk specifically among females. SNP rs7865618 (GG) is significantly associated with more than 2.5-fold CAD risk specifically among males. CONCLUSION: Our study suggests that SNPs at the 9p21 risk locus may be used to generate a reliable genetic risk score along with markers at other loci.


Subject(s)
Chromosomes, Human, Pair 9 , Coronary Artery Disease/genetics , Genetic Predisposition to Disease , Polymorphism, Single Nucleotide , Adult , Age of Onset , Aged , Aged, 80 and over , Case-Control Studies , Female , Genetic Loci , Genetic Markers , Genotype , Humans , India , Logistic Models , Male , Middle Aged , Risk , Sequence Analysis, DNA , Sex Factors
2.
Inflammation ; 37(2): 314-21, 2014 Apr.
Article in English | MEDLINE | ID: mdl-24072607

ABSTRACT

Interleukin-6 (IL-6) a pleiotropic cytokine is a central mediator of inflammation in the pathogenesis of coronary artery disease (CAD). Our aim is to evaluate the serum levels of IL-6 and C-reactive protein (CRP) and to analyze the IL-6 polymorphism in CAD patients and to identify the first-degree relatives (FDRs) at risk of the disease in comparison with healthy controls. Estimation of IL-6 levels by enzyme-linked immunosorbent assay (ELISA) and CRP by latex reagent kit method, and genotyping of IL6 gene variants -174 (G>C) was carried out by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) in 600 subjects. IL-6 and CRP levels were significantly high in patients followed by FDRs compared to controls. The frequency of the IL-6 genotype was significantly different between cases, FDRs and controls and association of serum IL-6 levels with genotype found to be significant in CC genotype compared to GC and GG at p < 0.01 in CAD patients and FDRs, while there is no significant difference observed in controls. The study shows the importance of inflammation in the pathogenesis of CAD and predicts the risk of future coronary events in healthy asymptomatic FDRs.


Subject(s)
Coronary Artery Disease/genetics , Coronary Artery Disease/immunology , Inflammation Mediators/blood , Interleukin-6/blood , Interleukin-6/genetics , Polymorphism, Genetic , Adult , Aged , Biomarkers/blood , C-Reactive Protein/analysis , Case-Control Studies , Coronary Angiography , Coronary Artery Disease/blood , Coronary Artery Disease/diagnosis , Enzyme-Linked Immunosorbent Assay , Female , Gene Frequency , Genetic Predisposition to Disease , Humans , Male , Middle Aged , Pedigree , Phenotype , Risk Assessment , Risk Factors
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