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Genetic association of lipid metabolism related SNPs with myocardial infarction in the Pakistani population
Authors:Riffat Iqbal  Nusrat Jahan  Yisuo Sun  Hong Xue
Institution:1. Department of Zoology, Government College University, Lahore, Pakistan
2. Applied Genomic Centre and Division of Life Sciences, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong
3. Nano Science and Nano Technology Program, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong
Abstract:Myocardial infarction (MI) is the major cardiovascular disease. This can be caused by mutual interaction of environmental and genetic factors. The current study was designed to investigate the role of lipid metabolism related genetic polymorphisms with the onset of MI in Punjabi population of Pakistan. A total of 384 subjects was studied from April 2011 to July 2012. To determine the genetic associations with MI, the single nucleotide polymorphisms (SNPs) were genotyped by sequencing, as well as one label extension method. Out of eight SNPs in four candidate genes, seven genetic variants were significantly (P < 0.05) associated with elevated risk of MI. In current study two SNPs rs662799 risk allele G (P = 0.03) and rs3135506 risk allele C (P = 0.05) of APOA5 were found to be associated with significant higher risk of triglyceride levels, irrespective of age, sex, obesity, diabetes, hypertension and smoking. Gene variants (rs1558861, rs662799 and rs10750097) in APOA5 showed almost complete linkage disequilibrium and their minor allele frequencies (0.34, 0.28, and 0.41 respectively) were more prevalent (P < 0.05) in cases than controls. We further revealed risk haplotypes (C-T-G-A, G-C-A-G; P = 0.001) and protective haplotypes (G-T-A-G, C-C-G-A; P = 0.005) between these four SNPs for the progression of MI. Current study confirms the correlation between lipid metabolism related SNPs with MI and supports the role of APOA5 in raising plasma triglyceride levels in Pakistanis. However further studies are needed for delineating the role of these SNPs.
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