The communal relation ofMTHFR,MTR,ACEgene polymorphisms and hyperhomocysteinemia as conceivable risk of coronary artery disease

Author:

Masud Rizwan1,Baqai Haider Zaigham2

Affiliation:

1. Division of Physiology, Department of Biomedical Sciences, College of Medicine, King Faisal University, Al Ahsa, 31982, Saudi Arabia.

2. Department of Medicine, Benazir Bhutto Hospital, Rawalpindi 46300, Pakistan.

Abstract

Homocysteine and its modulating genes have strongly emerged as novel biomarkers for coronary artery disease (CAD). In the present study, we investigated whether polymorphisms in homocysteine pathway genes and the plasma levels of homocysteine, folate, and vitamin B12, independently or in combination, are associated with CAD risk. A total of 504 participants were recruited (cases, n = 254; controls, n = 250, respectively). Tetra primer allele refractory mutation system polymerase chain reaction (PCR) was used for resolving the genotypes of 5′10′ methylenetetrahydrofolate reductase ‘MTHFR’ polymorphisms (rs1801133, rs1801131), 5′ methyl tetrahydrofolate homocysteine methyltransferase ‘MTR’ polymorphism (rs1805087), paroxanse1 ‘PON1’ polymorphism (rs662), and cystathionine beta synthase ‘CBS’ polymorphism (rs5742905). Conventional PCR amplification was carried out for resolving angiotensin converting enzyme ‘ACE’ insertion/deletion (I/D) polymorphism (rs4646994). ANOVA analysis, adjusted for the covariates, revealed that rs1801133, rs1805087 polymorphisms and homocysteine levels were associated with CAD. Logistic regression analysis (adjusted) revealed similar findings. Logistic regression analysis after applying factorial design to the studied single nucleotide polymorphisms (SNPs) revealed that homocysteine levels and heterozygous and mutant alleles at rs1801133, rs1805087, along with mutant alleles at rs1801131, rs4646994, conferred higher risk for CAD. Our results provide insight into the multifactorial nature of coronary artery disease. We highlight that SNPs in folate pathway genes and homocysteine have role in disease causation and can be used in disease prediction strategies.

Publisher

Canadian Science Publishing

Subject

Physiology (medical),Nutrition and Dietetics,Physiology,General Medicine,Endocrinology, Diabetes and Metabolism

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